Univerza na Primorskem Fakulteta za matematiko, naravoslovje in informacijske tehnologije
SI | EN

petek, 20. maj 2022 prof. Amira ŠERIFOVIĆ TRBALIĆ: Applications of deep learning for the medical data analysis

V ponedeljek, 23. maja 2022, bo ob 16.00 uri v predavalnici FAMNIT-VP2 izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 23. maj 2022 ob 16.00 v FAMNIT-VP2

------------------------------------------------------------------
PREDAVATELJICA: prof. Amira ŠERIFOVIĆ TRBALIĆ
------------------------------------------------------------------

Amira Šerifović Trbalić was born in Tuzla, Bosnia and Herzegovina in 1978. She received her B.Sc. degree from the Faculty of Electrical Engineering, University of Tuzla, Bosnia and Herzegovina in 2002. In 2006, she received the M.Sc. degree in computer science at the Faculty of Electrical Engineering, University of Tuzla. She finished her doctoral thesis on medical image registration at the University of Tuzla in 2011. Research for the doctoral dissertation was conducted within the framework of the joint research project with the Computer Vision Lab, ETH Zurich, Switzerland. In 2012, she became an Assistant Professor at the University of Tuzla and was promoted to Associate Professor in 2018. Her research interests include image processing and analysis, pattern recognition, computer vision and artificial intelligence. As a principal investigator or as a participant, she was involved in many projects in these areas and published over 40 research papers, books and book chapter.

---------------------------------------------------------------------------------------------
NASLOV: Applications of deep learning for the medical data analysis
---------------------------------------------------------------------------------------------

POVZETEK:

This talk will present an overview of deep learning (DL) and discuss some recent successful applications in medicine. It will provide examples of how deep learning can be used in different problem areas and frameworks in both clinical and research settings, including medical image analysis, time series analysis, medical data synthesis and pre-processing operations. The talk will conclude with a discussion of relevant deep learning methods and their strengths and limitations.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v angleškem jeziku.

Vabljeni! 

 

 


ponedeljek, 16. maj 2022 Vanja MILESKI: Deep learning for time series data using Inception and ResNet paradigms

V ponedeljek, 16. maja 2022, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 16. maj 2022 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJ: Vanja MILESKI
-----------------------------------------

After graduating from the Faculty of Computer and Information Science at the University of Ljubljana in 2015, Vanja Mileski started working at the Jožef Stefan Institute (JSI). He was a Master's student at the International Postgraduate School Jožef Stefan and a student researcher at the JSI. After finishing his Master's studies, he applied his knowledge of data mining in the private sector as a Data Scientist in the retail, telecommunications, banking, stock market and insurance sectors.
His current research interests include time-series classification, deep learning, ResNet and Inception architectures.

----------------------------------------------------------------------------------------------------------------
NASLOV: Deep learning for time series data using Inception and ResNet paradigms
----------------------------------------------------------------------------------------------------------------

POVZETEK:

With the advancements in Convolutional Neural Network (CNN) architectures such as Inception modules and ResNet architectures, it is of particular interest to study these advances and apply them on time series data. Time series features can be viewed as one-dimensional vectors, on which we can apply different types of filters using Inception modules, and then train a deeper network using a ResNet-like architecture. We propose an idea of combining these advancements and testing them on real-life data of customer shopping habits obtained from a large retailer in Slovenia with the hopes of beating traditional ML techniques.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v angleškem jeziku v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


ponedeljek, 9. maj 2022 Jakob POVŠIČ: Avtentikacija z dokazi ničelnega znanja

V ponedeljek, 9. maja 2022, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 9. maj 2022 ob 16.00 na daljavo

--------------------------------------------
PREDAVATELJ: Jakob POVŠIČ
--------------------------------------------

Jakob Povšič je študent zadnjega letnikana dodiplomskega študijskega programa 1. stopnje Računalništvo in informatika na UP FAMNIT. Trenutno se posveča področjem decentraliziranih finančnih sistemov, in širše kriptovalut in digitalne identitete.

------------------------------------------------------------------
NASLOV: Avtentikacija z dokazi ničelnega znanja
------------------------------------------------------------------

POVZETEK:

Problematika zasebnosti je vsak dan večja zaradi vse večje prisotnosti informacijskih sistemov v naših življenjih. Zdi se, da se zasebnost in tehnologija medsebojno izključujeta. Dokazi ničelnega znanja (ZKP) imajo potencial, da spremenijo, kako naši osebni podatki obstajajo v digitalnem prostoru. Predstavljena bo preprosta uporaba ZKP kot metode preverjanja gesla v avtentikacijskem sistemu.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v slovenskem jeziku v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


ponedeljek, 28. marec 2022 Aleksandar TOŠIĆ: Towards a more efficient routing in P2P networks using n-ary trees

V ponedeljek, 28. marca 2022, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 28. marec 2022 ob 16.00 na daljavo

--------------------------------------------
PREDAVATELJ: Aleksandar TOŠIĆ
--------------------------------------------

Aleksandar Tošić is a PhD candidate at UP FAMNIT. His research topics include distributed systems, distributed ledger technologies and their applications in the Internet of Things.

--------------------------------------------------------------------------------------------------------
NASLOV: Towards a more efficient routing in P2P networks using n-ary trees
--------------------------------------------------------------------------------------------------------

POVZETEK:

Blockchain networks are currently the fastest growing P2P networks. Recently, Proof of Stake consensus have gained more attention due to their low energy footprint. However, despite the protocol improvements, one of the main factors limiting transaction throughput is the ability to propagate blocks in the P2P network.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v angleškem jeziku v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


ponedeljek, 21. marec 2022 Niki HROVATIN: Simulating Sensor Networks in NS-3

V ponedeljek, 21. marca 2022, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno

predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 21. marec 2022 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJ: Niki HROVATIN
-----------------------------------------

Niki Hrovatin  was born in Trieste, Italy, in 1994. He received the M.S. degree in Computer Science from the University of Primorska in 2020.
He is currently a Teaching Assistant and Ph.D. student at UP FAMNIT, and a Research Assistant at InnoRenew CoE, Izola, Slovenija.
His current research interests include sensor networks, distributed systems, and blockchain.

---------------------------------------------------------------
NASLOV: Simulating Sensor Networks in NS-3
---------------------------------------------------------------

POVZETEK:

The Wireless Sensor Network (WSN) is a monitoring system consisting of a large number of wireless devices forming a multi-hop network without infrastructure. It is of particular concern to research communication protocols designed explicitly for WSN to preserve network resources and privacy.
PPWSim is presented, a simulator developed to study a privacy-preserving communication protocol for edge data processing in WSNs. The simulator is based on the simulation environment nsnam NS3; therefore, it can be easily extended or used as a framework for developing other WSN simulators.

---------------------------------------------------------------------------------------------------
Seminar bo potekal v angleškem jeziku v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni!


ponedeljek, 7. marec 2022 Mohamed ELSAEED: Hello Flutter!

V ponedeljek, 7. marca 2022, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 7. marec 2022 ob 16.00 na daljavo

-----------------------------------------------
PREDAVATELJ: Mohamed ELSAEED
-----------------------------------------------

Mohamed Elsaeed is a software engineer at Google.

--------------------------------
NASLOV: Hello Flutter!
--------------------------------

POVZETEK:

In this seminar, an introduction to Flutter and Dart, a handy and easy-to-use toolset for all mobile developers, will be given. What are Flutter and Dart, and how do they work? The cross-platform features and benefits will be presented along with how to get started with them and what free resources are available on the Google platform.

---------------------------------------------------------------------------------------------------

Seminar soorganizira Google developer Student Club at University of Primorska (GDSC UP).

Seminar bo potekal v angleškem jeziku v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


petek, 18. februar 2022 Andrej MALEČKAR: Slot game development case study

V ponedeljek, 21. februarja 2022, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 21. februar 2022 ob 16.00 na daljavo

---------------------------------------------
PREDAVATELJ: Andrej MALEČKAR
---------------------------------------------

Andrej Malečkar is an experienced Software development team lead in the Gambling and Casino industry. He was born on 04.10.1990 in Koper and graduated in 2016 from the Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska. His current work is focused on leading a team of front-end developers delivering state-of-the-art online slot and table casino games and developing a brand new game engine.

-------------------------------------------------------------
NASLOV: Slot game development case study
-------------------------------------------------------------

POVZETEK:

In this presentation, we will go through all development phases of a modern web-based slot game from start to finish. We will look into detail on all the technologies and best practices a good FE development team uses to overcome all the challenges during the development phase. The presentation will be followed by visual examples and code snippets from some of the best-performing games from our company's portfolio. We will finish the meeting with a quick presentation of GameArt company, its amazing work culture, and its brand new student program.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v angleškem jeziku v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 

 


četrtek, 10. februar 2022 Aleksandar TOŠIĆ and Domen VAKE: Faculty Programming Competition (FTP)

V ponedeljek, 14. februarja 2022, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 14. februar 2022 ob 16.00 na daljavo

-------------------------------------------------------------------
PREDAVATELJA: Aleksandar TOŠIĆ in Domen VAKE
-------------------------------------------------------------------

Tako Aleksandar Tošić kot Domen Vake sta doktorska študenta, raziskovalca in asistenta na UP FAMNIT. Aleksandar Tošić je poleg tega še raziskovalec na InnoRenew CoE.

------

Both Aleksandar Tošić and Domen Vake are PhD students, researchers and teaching assistants at UP FAMNIT. Aleksandar Tošić is also a researcher at the InnoRenew CoE.

----------------------------------------------------------------------
NASLOV: Faculty Programming Competition (FTP)
----------------------------------------------------------------------

POVZETEK:

Predstavljeno bo fakultetno tekmovanje v programiranju (FTP), ki je namenjeno vsem študentom. Tema tekmovanja je programiranje svojega avtonomnega agenta za igranje igre. Predstavili bomo pravila tekmovanja in razložili kako sodelujete v njem. Pokazali in razložili bomo tudi delovanje spletne aplikacije, ki jo bodo sodelujoči uporabljali ter pokazali osnoven potek oddaje igralca.

------

The faculty programming competition for all students will be presented. The theme of the competition is programming your autonomous agent to play a strategic game. We will present the rules of the competition and explain how you participate in it. We will also show and explain the web application that participants will use for the competition and show the basic steps of the player's submission.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v angleškem jeziku v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


četrtek, 23. december 2021 Ivan MARKOVINOVIĆ: Auditory Brain Computer Interface Speller

V ponedeljek, 20. decembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 20. december 2021 ob 16.00 na daljavo

------------------------------------------------
PREDAVATELJ: Ivan MARKOVINOVIĆ
------------------------------------------------

Ivan Markovinović is a PhD student at Faculty of Technical Engineering, University of Rijeka. He was born on 15.12.1987 in Rijeka, and graduated in 2011 at the Faculty of Electrical Engineering and Computing, University of Zagreb. His current work is focused on the brain-computer interface systems, more specifically on the implementation of auditory brain-computer interface speller.

----------------------------------------------------------------------
NASLOV: Auditory Brain Computer Interface Speller
----------------------------------------------------------------------

POVZETEK:

Brain-computer interface (BCI) systems are designed to translate the measured brain signals into a set of instructions, with the purpose of interaction with the outside world. Most common application of such systems is to provide aid to patients with limited physical capabilities, where the visual stimulation based BCIs are most commonly used. However, in the most extreme situations, e.g. for patients with amyotrophic lateral sclerosis, visual stimulation approach is insufficient for high-level interaction due to the patient's limited eye movement capabilities. In this seminar a two-stage auditory BCI system will be presented, which exposes a subject to a stream of letter utterances, with a goal of mentally spelling the target word.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v angleškem jeziku v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


četrtek, 2. december 2021 Sidra ASLAM: Decentralized Data Privacy and Security for the Web of Things

V ponedeljek, 6. decembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 6. december 2021 ob 16.00 na daljavo

------------------------------------------
PREDAVATELJICA: Sidra ASLAM
------------------------------------------

Sidra Aslam received her Master’s degree in computer science from the COMSATS University Islamabad, Pakistan in January 2017. During this period, she worked on research projects and published research papers in scholarly journals and conference proceedings. In 2015, she received the best research paper award at the National Software Engineering Conference (NSEC), IEEE in Pakistan. She is currently an Assistant Researcher at the InnoRenew CoE, a teaching assistant and a Ph.D. student at the Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Slovenia. Her current research interests include information security and privacy, blockchain, and semantic Web technologies.

--------------------------------------------------------------------------------------------------
NASLOV: Decentralized Data Privacy and Security for the Web of Things
--------------------------------------------------------------------------------------------------

POVZETEK:

Cloud computing relies on Web protocols to allow transparent access to computing resources, anywhere and anytime. However, the cloud runs as a centralized infrastructure that acts as a Trusted Third Party (TTP), which leads to security and privacy limitations. Over the past few years, blockchain technology has gained popularity due to its decentralized design, which overcomes some of these limitations. However, when applications deal with privacy-sensitive data, the management of privacy, access control, and data modification remains an open issue.
In this seminar, we present our research for a RESTful decentralized storage framework that provides data privacy and mutability. We explore how to combine blockchain with distributed hash table, role-based access control, ring signature, and multiple encryption mechanisms. Within a single framework, we will design algorithms and a metadata structure stored on the blockchain, that offer a strong decoupling between data access and storage, while providing the opportunity to address the security and privacy issues we are facing, so that data owners keep control of their data. Each peer in our framework will offer RESTful APIs to operate, thus ensuring interoperability over the Web. In this seminar, we will explore how semantic-based access control can manage complex permissions for data access by modeling complex relationships between users. We will discuss the relevance of a HATEOAS client to navigate through data using RESTful APIs.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v angleškem jeziku v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


petek, 12. november 2021 Matej BABIČ: Matematične in računalniške aplikacije za napovedovanje izposoje koles v GoNM

V ponedeljek, 15. novembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo ter hkrati tudi v živo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 15. november 2021 ob 16.00 hkrati v živo in na daljavo

-------------------------------------
PREDAVATELJ: Matej BABIČ
-------------------------------------

Matej Babič je docent na Fakulteti za informacijske študije v Novem Mestu, kjer se ukvarjam z modeliranjem prometa.

----------------------------------------------------------------------------------------------------------------------------
NASLOV: Matematične in računalniške aplikacije za napovedovanje izposoje koles v GoNM
----------------------------------------------------------------------------------------------------------------------------

POVZETEK:

V predavanju bom uporabil topološke lastnosti omrežja, ki so potrebne za analizo sistema izposoje koles GoNM v Novem mestu. Motivacija za naše delo je povečati število koles v sistemu GoNM in s tem zmanjšati uporabo avtomobilov. Topološke lastnosti omrežnega sistema smo izračunali za boljše razumevanje sistema izposoje koles GoNM. Analizirali smo razmerje med vremenskimi razmerami in topološkimi lastnostmi kolesarske mreže GoNM. Odprt problem v naši študiji je, koliko koles si bo delilo v različnem vremenu? Kako topologija omrežja vpliva na sistem souporabe koles? Cilj te raziskave je predstaviti nov hibridni sistem modeliranja sistema izposoje koles s topološkimi lastnostmi omrežja v sistemu GoNM, ki so odvisne od vremenskih razmer.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v slovenskem jeziku v FAMNIT-VP2 in v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


četrtek, 4. november 2021 Peter KNEES: An Overview of Music Retrieval and Recommendation: From Describing Sound to Asking What is Fair

V ponedeljek, 8. november 2021, bo ob 16.00 uri prek spletnih orodij na daljavo ter hkrati tudi v živo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 8. november 2021 ob 16.00 hkrati v živo in na daljavo

-------------------------------------
PREDAVATELJ: Peter KNEES
-------------------------------------

Peter Knees is an Associate Professor at the Vienna University of Technology, Faculty of Informatics. He is an active member of the Music Information Retrieval research community, reaching out to the related fields of multimedia and text information retrieval, recommender systems, and the digital arts. His research activities center on music search engines and interfaces as well as music recommender systems, and more recently, on smart(er) tools for music creation. He co-authored the book “Music Similarity and Retrieval: An Introduction” and is a contributor of the Digital Humanism initiative.

------------------------------------------------------------------------------------------------------------------------------------------------------
NASLOV: An Overview of Music Retrieval and Recommendation: From Describing Sound to Asking What is Fair
------------------------------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

In this talk, I will describe the developments in music discovery technologies over the last 20 years. This journey will depart from the question of how music can be algorithmically modeled for content-based search and recommendation. Then I will detail how additional data sources representing different types of user interactions have gained importance for these tasks. Ultimately, we will arrive at a discussion of what the objectives of recommender systems are and—most importantly—could and should be in a world where music is virtually freely available everywhere and at all times. This will bring us to the open question of fairness in music recommendation and how future technology could contribute to this.

---------------------------------------------------------------------------------------------------

Seminar bo potekal v angleškem jeziku v FAMNIT-VP2 in v Zoom "klepetalnici" na naslovu:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Tokratni PON seminar RIN bo hkrati tudi vabljeno predavanje na konferenci HCI SI 2021, ki bo potekala cel ponedeljek, 8.11.2021 (za več informacij kliknite tukaj: https://hci.si/hci-si-2021/).

Vabljeni! 


petek, 22. oktober 2021 M.Besher MASSRI: Tracking Innovations and Technologies in Artificial Intelligence

V ponedeljek, 25. oktobra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 25. oktober 2021 ob 16.00 na daljavo

--------------------------------------------
PREDAVATELJ: M.Besher MASSRI
--------------------------------------------

M.Besher Massri is a first-year student of the master's program in Information and Communication Technologies at Jožef Stefan International Postgraduate School. He will be presenting his diploma work that was completed during his studies at UP FAMNIT under the supervision of prof. Branko Kavšek.

-------------------------------------------------------------------------------------------------
NASLOV: Tracking Innovations and Technologies in Artificial Intelligence
-------------------------------------------------------------------------------------------------

POVZETEK:

This work presents a system for tracking innovations and technologies from their inception in academia to their possible realization in the business world. We apply the system to the Artificial Intelligence domain to identify and analyze the landscape of AI technologies. We illustrate how current hot topics in AI can be traced back to innovations and progress that happened years ago. Our system monitors the status of AI technologies in multiple stages including research, patents, news, and the job market. In this presentation, we will present the system described and show some use case results.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


ponedeljek, 27. september 2021 Nedim ŠIŠIĆ: A new method for polygonization of connected areas in binary images

Danes, v ponedeljek, 27. septembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 27. september 2021 ob 16.00 na daljavo

-------------------------------------
PREDAVATELJ: Nedim ŠIŠIĆ
-------------------------------------

Nedim Šišić is a first year student of the master programme in Computer Science at UP FAMNIT. He will be presenting his Research seminar that he completed under the supervision of prof. Martin Milanič.

------------------------------------------------------------------------------------------------------------
NASLOV: A new method for polygonization of connected areas in binary images
------------------------------------------------------------------------------------------------------------

POVZETEK:

In image processing, vectorization is the conversion of raster images to vector images. Polygonization, a type of vectorization, finds polygonal approximations of raster images. Most existing vectorization methods process entire images, thus performing unnecessary work if we are only interested in a single part of an image. Here, we will describe an approach to polygonizing binary images, where only a single connected component of interest is polygonized. Our method reduces the time and space requirements in this problem setting compared to existing methods. In this presentation we will show the results of the proposed method, Polygonize.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni! 


petek, 17. september 2021 Jordan DEJA: PIANO 2.0: An Augmented Piano prototype for Personalized Music Learning

V ponedeljek, 20. septembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 20. september 2021 ob 16.00 na daljavo

-------------------------------------
PREDAVATELJ: Jordan DEJA
-------------------------------------

Jordan Aiko Deja is a Filipino PhD student working on computational interactions and adaptive visualizations at the HICUP Lab research group of UP FAMNIT. He is supervised by Dr. Matjaž Kljun and Dr. Klen Čopič Pucihar. He earned his BS and MS degrees in Computer Science from De La Salle University, Manila Philippines.

--------------------------------------------------------------------------------------------------------------------
NASLOV: PIANO 2.0: An Augmented Piano prototype for Personalized Music Learning
--------------------------------------------------------------------------------------------------------------------

POVZETEK:

Humans have been developing, learning and playing musical instruments for several millennia. With technological advancements, instruments were becoming more complex. However, it is in the recent decades, that several computer supported innovations augmenting musical instruments have been introduced. In this seminar, we present PIANO 2.0 - with the goal of augmenting the music learning experience of a piano novice. We will present the proposed design, a demonstration of its existing features and a proposed user testing plan. We will solicit ideas from the audience in order to improve the prototype design, and the proposed data collection and user testing plan intended for piano learners.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni!


ponedeljek, 13. september 2021 Elham MOTAMEDI: Prediction of eudaimonic and hedonic movie characteristics from subtitles

V ponedeljek, 13. septembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 13. september 2021 ob 16.00 na daljavo

--------------------------------------------------
PREDAVATELJICA: Elham MOTAMEDI
--------------------------------------------------

Elham Motamedi is a PhD student at UP FAMNIT under the supervision of prof. Marko Tkalčič. She completed her Master's degree of networked systems at the University of Tehran, Iran and her Bachelor's degree of information technology at the Isfahan University of Technology, Iran. Her research areas include recommender systems,  machine learning and complex networks.

------------------------------------------------------------------------------------------------------------------
NASLOV: Prediction of eudaimonic and hedonic movie characteristics from subtitles
------------------------------------------------------------------------------------------------------------------

POVZETEK:

In this work, I will present the pipeline and preliminary results for the prediction of eudaimonic and hedonic characteristics of movies. First, I will provide a motivation why these characteristics are important for personalization (user modeling and recommender systems). Then I will briefly present the dataset that we used with focussing on the correlational analysis of the data. Then I will describe the machine learning pipeline, from using natural language processing techniques for feature engineering to the training and evaluation. Finally, I will present the results of the prediction.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni!


petek, 3. september 2021 Nuwan T. ATTYGALLE: Interactive Web Documentaries: A Case Study of Video Viewing Behaviour on iOtok

V ponedeljek, 6. septembra 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 6. september 2021 ob 16.00 na daljavo

------------------------------------------------
PREDAVATELJ: Nuwan T. ATTYGALLE
------------------------------------------------

Nuwan Tharanga Attygalle is a PhD student in Computer Science in the field of Human-Computer interactions and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is also a member of the HICUP Lab at the Department of Information Sciences and Technologies.

------------------------------------------------------------------------------------------------------------------------------
NASLOV: Interactive Web Documentaries: A Case Study of Video Viewing Behaviour on iOtok
------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

In this study, we explore video viewing behaviour when videos are wrapped in interactive content in the case of iOtok, a 13-episodes web documentary series. The interaction and viewing data were collected over a period of one year, providing a dataset of more than 12200 total video views by 6000 users. Standard metrics (video views, percentage viewed, number of sessions) show higher active participation for registered users compared to unregistered users. Results also indicate that serialisation over multiple weeks is an effective strategy for audience building over a long period of time without negatively affecting video views. In viewing behaviour analysis, we focused on three perspectives: (i) regularity (watching on a weekly basis or not), (ii) intensity (number of videos per session) and (iii) order of watching. We performed a perspective based and combined perspectives analysis involving manual coding techniques, rule-based and k-means clustering algorithms to reveal different user profiles (intermittent, exemplary, detached, enthusiastic users, and nibblers) and highlight further viewing behaviour differences (e.g. post-series users binge-watched more than concurrent users during first 13 weeks while the series was weekly released). We discuss how these results can be used to inform the design and promotion of future web documentaries.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207?pwd=S3Zpdk1VR3pjckNtWkQwKzlvcDR5UT09

Vabljeni!


četrtek, 26. avgust 2021 Urška GERIČ: Genetska struktura in njen vpliv na telesne mase in oplojenost mladic srnjadi v Sloveniji

V ponedeljek, 30. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 30. avgust 2021 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJICA: Urška GERIČ
-----------------------------------------

Urška Gerič je doktorska študentka računalništva in informatike na UP FAMNIT. Trenutno se ukvarja s pripravo postopkov za analizo rezultatov sekvenciranja z različnimi bioinformatičnimi orodji. Dela na različnih vrstah med katerimi so npr. srne, pa tudi vzorci bizonov, ki so stari do 75.000 let.

------------------------------------------------------------------------------------------------------------------------------------
NASLOV: Genetska struktura in njen vpliv na telesne mase in oplojenost mladic srnjadi v Sloveniji
------------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Evropska srna / srnjad (Capreolus capreolus) se v vseevropski razširjenosti srečuje s široko raznolikostjo okoljskih razmer, zato več dejavnikov oblikuje znake njenih življenjskih strategij in fitnesa (uspešnosti) populacij. V pričujoči raziskavi smo ugotavljali vpliv genetskih dejavnikov na populacijsko strukturo glede na lovsko upravljavska območja (LUO) v Sloveniji. Z uporabo 14 mikrosatelitnih lokusov smo pri 214 vzorcih mladic evropske srne iz območja celotne Slovenije opredelili genetsko populacijsko strukturo, upoštevajoč LUO odvzema vzorca. Razlike v obstoječi populacijski strukturi med LUO smo razložili s populacijsko zgodovino, povezano z različnimi pristopi k upravljanju populacij in / ali različni povezanosti med sub populacijami. Vzorci genetske strukture v Sloveniji so bili jasno opredeljeni z ločitvijo populacij v tri gruče, prisotne v naslednjih regijah: (i) južno submediteranska in kraška regija, (ii) osrednja Slovenija in (iii) subpanonska regija na severovzhodu. Rezultate smo potrdili z analizo izolacije z distanco, ki je pokazala zmerno izoliranost in ločitev vzorcev iz južnega dela Slovenije (južno submediteranska in kraška regija) od ostalih dveh gruč (napisi kateri). Na vzorcih 172 enoletnih samic smo analizirali vpliv genetskih značilnosti na dva pomembna parametra vitalnosti (telesna masa in razmnoževalna sposobnost). Rezultati so pokazali močan vpliv telesne mase na število rumenih telesc (Corpora Lutea), prav tako pa smo pokazali vpliv genetske komponente na telesno maso, medtem ko močnega direktnega vpliva genetske komponente na število rumenih telesc nismo zaznali. V model smo vključili tudi zemljepisno širino, kot geografsko komponento in leto odstrela kot okoljsko spremenljivko, kjer smo dokazali, da na telesno maso in reproduktivno sposobnost vpliva več dejavnikov med katerimi prevladujejo okoljski dejavniki in razpoložljivost virov.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni! 


ponedeljek, 23. avgust 2021 Nuwan T. ATTYGALLE: Missing Interface - Gesture Recognition on Physical Objects using Radar Sensing

V ponedeljek, 23. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 23. avgust 2021 ob 16.00 na daljavo

-------------------------------------------------
PREDAVATELJ: Nuwan T. ATTYGALLE
-------------------------------------------------

Nuwan Tharanga Attygalle is a PhD student in Computer Science in the field of Human-Computer interactions and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is also a member of the HICUP Lab at the Department of Information Sciences and Technologies.

------------------------------------------------------------------------------------------------------------------------
NASLOV: Missing Interface: Gesture Recognition on Physical Objects using Radar Sensing
------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Physical objects are usually not designed with interaction capabilities to control digital content. Nevertheless, they provide an untapped source for interactions since every object could be used to control our digital lives. We call this the missing interface problem: Instead of embedding computational capacity into objects, we can simply detect users’ gestures on them. However, gesture detection on such unmodified objects so far has been limited in spatial resolution and detection fidelity. To address this gap, we conducted research on micro-gesture detection on physical objects based on Google Soli’s radar sensor. We introduce two novel deep learning architectures to process range-Doppler images, namely a 3-dimensional convolutional neural network (Conv3D) and a spectrogram-based ConvNet. The results show that our architectures enable robust on-object gesture detection, achieving accuracy around 94% for a 5-gesture set, surpassing previous state-of-the-art performance results by up to 39%. We also show that the decibel (dB) Doppler range setting has a significant effect on system performance, as accuracy can vary up to 20% across the dB range. As a result, we provide guidelines on how to best calibrate the radar sensor.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni! 


ponedeljek, 16. avgust 2021 Stephanie Furlan: Interakcija med droni in človekom

V ponedeljek, 16. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 16. avgust 2021 ob 16.00 na daljavo

--------------------------------------------------
PREDAVATELJICA: Stephanie FURLAN
--------------------------------------------------

Stephanie Furlan je študentka magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT. Trenutno se ukvarja z magistrskim delom, v katerem raziskuje področje interakcije med človekom in droni.

------------------------------------------------------------
NASLOV: Interakcija med droni in človekom
------------------------------------------------------------

POVZETEK:

Nedvomno prinaša tehnološki napredek sodobni družbi mnogotere olajšave in ponuja nešteto možnosti za udejanjenje vedno bolj lagodnega življenja. Hkrati odpira uvajanje novih tehnologij celo vrsto ne le praktičnih, temveč tudi etičnih vprašanj, ki jih taka uvedba predpostavlja. Droni so brezpilotni letalniki, katerih oblika in namembnost sta se skozi čas spreminjali. Nastali so kot vojaški pripomočki; ker se njihova izvorna uporaba veže ravno na bojno polje, lahko zasledimo, da se v povprečju sodobni človek na njihovo prisotnost v svojem okolju odziva negativno: gre najbrž le za posledico, kajti večinoma ni seznanjen z dejstvom, da je lahko njihova uporaba tudi koristna za vsakodnevno življenje. Naš namen je bralcu podati nekaj ključnih informacij o številnih možnostih za uporabo dronov tudi s strani povprečnega človeka in to pri vsakodnevnih praktičnih opravilih; v raziskavi bomo dlje korenito utemeljili, kako se človek odraža na prisotnost drona v svoji bližini in z njim interagira, kateri dejavniki vplivajo na njegovo reakcijo, katere tehnične plati lahko izboljšamo ali nadgradimo za njihovo učinkovitejšo uporabnost, predvsem pa njihovo stopnjo sprejemljivosti s strani ljudi. Področje, ki raziskuje interakcijo med človekom in droni, je v znanstvenih krogih poznano s kratico HDI (human-drone interaction) in ravno tej vsebini bomo namenili našo pozornost.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni! 


ponedeljek, 9. avgust 2021 Sead Hrustanović: Recognition of eudaimonic and hedonic qualities from song lyrics

V ponedeljek, 2. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 2. avgust 2021 ob 16.00 na daljavo

-----------------------------------------------
PREDAVATELJ: Sead HRUSTANOVIĆ
-----------------------------------------------

Sead Hrustanović is a second year student of the master programme in Data Science at UP FAMNIT. He will be presenting his Master's thesis topic that he is completing under the supervision of assoc. prof. Marko Tkalcic and assist. prof. Branko Kavšek.

------------------------------------------------------------------------------------------------------
NASLOV: Recognition of eudaimonic and hedonic qualities from song lyrics
------------------------------------------------------------------------------------------------------

POVZETEK:

There have been many studies conducted on emotion recognition based on song lyrics. These studies help recommendation systems in a way that they tend to classify the emotion that is present in a song,and based on that the system recommends a similar song to what the user is already listening to. But what happens if we dig deeper and look further than just at the specific emotion a certain song gives. We can look for the hedonic and eudaimonic qualities within songs, through the song lyrics. We are creating a machine learning  model which will be able to recognize the percentage of hedonism and eudaimonia based on song lyrics.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!

 


ponedeljek, 9. avgust 2021 Domen VAKE: Algoritem za pošiljanje sporočil v decentraliziranih omrežjih, ki temelji na pseudo naključnosti

V ponedeljek, 9. avgusta 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 9. avgust 2021 ob 16.00 na daljavo

--------------------------------------
PREDAVATELJ: Domen VAKE
--------------------------------------

Domen Vake je študent magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT. Trenutno se ukvarja z magistrskim delom, v katerem raziskuje pošiljanje sporočil v decentraliziranih omrežjih, ki temelji na pseudo naključnosti.

---------------------------------------------------------------------------------------------------------------------------------------------
NASLOV: Algoritem za pošiljanje sporočil v decentraliziranih omrežjih, ki temelji na pseudo naključnosti
---------------------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Predstavljen bo inovativen algoritem za diseminacijo sporočil v popolnoma decentraliziranih sistemih. Motivacija za raziskavo prihaja iz področja tehnologije veriženja blokov in razvoja decentraliziranih omrežnih protokolov. Ena izmed ključnih omejitev tovrstnih sistemov je učinkovita diseminacija sporočil, ki imajo s strani sistemskega pogleda lahko naključen izvor. Cilj dobrega algoritma je, da v čim krajšem času vsa vozlišča prejmejo sporočilo. Najbolj razširjena in enostavna implementacija je t.i "flooding algoritem", ki zagotavlja, da bodo vsa vozlišča, ki so povezana v omrežje prejela sporočilo. Algoritmi, ki temeljijo na principu poplavljanja so neučinkoviti. Učinkovitost tovrstnih algoritmov običajno ocenjujemo z mero, ki opisuje koliko krat vozlišče prejme enako sporočilo. Optimalen algoritem bi zagotavljal, da bodo ne glede na izvor sporočila vsa vozlišča zanj izvedela in ga bo vsako vozlišče prejelo natanko enkrat.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


ponedeljek, 26. julij 2021 Mateja Jovanović: Predicting the gullibility of users from their online behaviour

Danes, v ponedeljek, 26. julija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 26. julij 2021 ob 16.00 na daljavo

-----------------------------------------------
PREDAVATELJ: Mateja JOVANOVIĆ
-----------------------------------------------

Mateja Jovanović is a MSc student of the Data Science program at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is conducting his MSc thesis under the supervision of Assoc. Prof. Marko Tkalčič and Assist. Prof. Vida Groznik.

-------------------------------------------------------------------------------------------------
NASLOV: Predicting the gullibility of users from their online behaviour
-------------------------------------------------------------------------------------------------

POVZETEK: 

Users can become victims of online scams. Their propensity for becoming victims depends on a personal characteristic called gullibility. In this work we explore if online behaviour, Twitter in particular, depends on the gullibility of users. Furthermore, we aim at devising a machine learning-based predictive model of gullibility. 

--------------------------------------------------------------------------------------------------- 

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


nedelja, 11. julij 2021 Elham MOTAMEDI: Predicting Music Relistening Behavior Using The ACT-R Framework

V ponedeljek, 12. julija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 12. julij 2021 ob 16.00 na daljavo

--------------------------------------------------
PREDAVATELJICA: Elham MOTAMEDI
--------------------------------------------------

Elham Motamedi is a PhD student at UP FAMNIT under the supervision of prof. Marko Tkalčič. She completed her Master's degree of networked systems at the University of Tehran, Iran and her Bachelor's degree of information technology at the Isfahan University of Technology, Iran. Her research areas include recommender systems,  machine learning and complex networks.

--------------------------------------------------------------------------------------------------------
NASLOV: Predicting Music Relistening Behavior Using The ACT-R Framework
--------------------------------------------------------------------------------------------------------

POVZETEK: 

I will present the work that has been done to model the music relistening behavior using a well-established framework from psychology that considers the retrieval process of human memories, i.e., Adaptive Control of Thought—Rational (ACT-R). This work has been carried out in collaboration with researchers from Graz University of Technology and JKU linz.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


nedelja, 13. junij 2021 Nuwan T. ATTYGALLE: Sensing through materials

V ponedeljek, 14. junija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 14. junij 2021 ob 16.00 na daljavo

-------------------------------------------------
PREDAVATELJ: Nuwan T. ATTYGALLE
-------------------------------------------------

Nuwan Tharanga Attygalle is a PhD student in Computer Science in the field of Human-Computer interactions and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is also a member of the HICUP Lab at the Department of Information Sciences and Technologies.

-------------------------------------------------
NASLOV: Sensing through materials
-------------------------------------------------

POVZETEK: 

Gesture recognition has received increased attention with machine learning breakthroughs and the attainability of radar chips. In the real world, it often needs sensing through materials. In this work, we are studying how the degradation of radar signals affects the performance of gesture recognition.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


sreda, 2. junij 2021 Niki Hrovatin: In-Network Convolution in grid shaped Sensor Networks

V ponedeljek, 31. maja 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 31. maj 2021 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJ: Niki HROVATIN
-----------------------------------------

Niki Hrovatin is a teaching assistant and PhD student at the University of Primorska, Department of Information Sciences and Technologies, and an Assistant Researcher at the InnoRenew CoE. His current research interests include Wireless Sensor Networks, Security and Privacy, Machine Learning, and Blockchain.

------------------------------------------------------------------------------------------
NASLOV: In-Network Convolution in grid shaped Sensor Networks
------------------------------------------------------------------------------------------

POVZETEK: 

A Sensor Network consists of spatially distributed nodes deployed in a dynamic environment for specific monitoring purposes. We present the recent development of our use-case sensor network, a smart floor designed to detect falls. The smart floor is a grid-shaped sensor network in which each sensor node is sensing the local force applied on the floor. A Convolutional Neural Network (CNN) is used to recognize if the activity occurring over the smart floor is a person that fell on the floor or just activities of daily living like walking, moving objects, etc. Furthermore, we discuss a technique applicable only to grid-shaped sensor networks for distributed processing of convolutional layers on sensor nodes.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


sreda, 2. junij 2021 Lisi QARKAXHIJA: Network based predictive modeling

V ponedeljek, 7. junija 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 7. junij 2021 ob 16.00 na daljavo

-------------------------------------------
PREDAVATELJ: Lisi QARKAXHIJA
-------------------------------------------

Lisi Qarkaxhija is a second year student of the master programme in Data Science at UP FAMNIT. He will be presenting his Master's thesis topic that he is completing under the supervision of assoc. prof. Miklós Krész and PhD candidate László Hajdu.

--------------------------------------------------------------
NASLOV: Network based predictive modeling
--------------------------------------------------------------

POVZETEK: 

Real world networks can be classified into several categories, namely social networks, information networks, technological networks, biological networks, etc. Citation networks are one of the most famous examples of information networks. Various methods have been proposed to predict the citation count of papers in the future. We propose a novel approach for predicting the citation count of papers up to 10 years in advance by extracting features of nodes (papers) from a temporal citation network. These results can be further generalized to other type of networks.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


nedelja, 23. maj 2021 Jan Škorjanc: Uporaba asociacijskih pravil za klasifikacijo

V ponedeljek, 24. maja 2021, bo ob 16.30 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 24. maj 2021 ob 16.30 na daljavo

---------------------------------------
PREDAVATELJ: Jan ŠKORJANC
---------------------------------------

Jan Škorjanc je absolvent magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT. Trenutno se ukvarja z magistrskim delom, v katerem raziskuje uspešnost klasifikacijskih algoritmov, ki za svoje delovanje uporabljajo asociacijska pravila.

-----------------------------------------------------------------------
NASLOV: Uporaba asociacijskih pravil za klasifikacijo
-----------------------------------------------------------------------

POVZETEK: 

Klasifikacija in iskanje asociacijskih pravil sodita med najbolj uporabljene naloge podatkovnega rudarjenja. Za klasifikacijo je značilno, da na učni množici podatkov zgradi model, s katerim napove enega izmed atributov, ki mu pravimo razred. Asociacijska pravila razrednega atributa nimajo, končna množica pravil pa je lahko izpeljana za katerikoli atribut. V seminarju bomo obe področji združili tako, da bomo analizirali delovanje klasifikatorjev, ki uporabljajo asociacijska pravila. Algoritme smo zagnali na podatkovnih zbirkah pridobljenih iz repozitorija UCI ML in pri tem sledili metodologiji CRISP-DM. Cilj raziskave je bil algoritme med seboj primerjati, jih analizirati in določiti njihovo uspešnost.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

POZOR! Seminar se tokrat začne pol ure kasneje - ob 16:30.

Vabljeni!


nedelja, 16. maj 2021 Polygonization of connected areas in binary image

Jutri, v ponedeljek, 17. maja 2021, bosta ob 16.00 uri prek spletnih orodij na daljavo izvedeni 
dve predavanji v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 17. maj 2021 ob 16.00 na daljavo


1. predstavitev:

-------------------------------------
PREDAVATELJ: Nedim ŠIŠIĆ
-------------------------------------

Nedim Šišić is a first year student of the master programme in Computer Science at UP FAMNIT. He will be presenting his Research seminar topic that he completed under the supervision of prof. Martin Milanič.

---------------------------------------------------------------------------------
NASLOV: Polygonization of connected areas in binary image
---------------------------------------------------------------------------------

POVZETEK: 

In image processing, vectorization is the conversion of raster images to vector images. A special kind of vectorization is polygonization, which deals with finding polygonal approximations. Most existing vectorization methods process entire images, which is unnecessary if we are only interested in a single part of an image. We investigate approaches to polygonizing connected areas in binary images. By restricting the scope of vectorization, we reduce its time and memory requirements.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


2. predstavitev:

----------------------------------------------
PREDAVATELJ: Albert KHAIDAROV
----------------------------------------------

Albert Khaidarov is a first year student of the master programme in Computer Science at UP FAMNIT. He will be presenting his Research seminar topic that he completed under the supervision of assist. prof. Dávid Balázs.

-------------------------------------------------------------------------------------------------------------------------------------------
NASLOV: A Hybrid Clustering Algorithm for solving the Vehicle Routing Problem in Waste Management
-------------------------------------------------------------------------------------------------------------------------------------------

POVZETEK: 

Proper collection of waste is important for building sustainable and livable cities, but it remains a great challenge for us. The purpose of my research is to find an effective solution approach for the Vehicle Routing Problem in waste management. My work involves the usage of the best known clustering algorithm K-Means.This method performs a single clustering of the vertex set and then determines a vehicle route on each cluster. For optimization, solutions of the clustering algorithm can be extended with different heuristic and metaheuristic methods.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


petek, 7. maj 2021 Zakaj je delodajalec Actual I.T. d.d. prava izbira za vas?

V ponedeljek, 10. maja 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 10. maj 2021 ob 16.00 na daljavo

-----------------------------------------------------------------------
PREDAVATELJA: Magda ŠTURMAN in Boštjan PETELIN
-----------------------------------------------------------------------

mag. Magda Šturman, Vodja OE Kadri, pravne in splošne zadeve v Actualu I.T. d.d. Magistrirala je na Fakulteti za družbene vede iz smeri Managmenta kadrov in delovnih razmerjih. Ima bogate delovne izkušnje na kadrovskem področju, pa tudi kot predavateljica.

mag. Boštjan Petelin, BU direktor Transport&Logistic v Actualu I.T. d.d. Magistriral je na Ekonomski fakulteti v Ljubljani. Ima bogate delovne izkušnje na področju prodaje, projektnega vodenja in poslovne informatike.

--------------------------------------------------------------------------------------
NASLOV: Zakaj je delodajalec Actual I.T. d.d. prava izbira za vas?
--------------------------------------------------------------------------------------

POVZETEK: 

Predstavili vam bomo podjetje Actual I.T. d.d., ki s FAMNIT-om odlično sodeluje že vrsto let. Actual ponuja celovite informacijske rešitve, ki so podpora poslovnim procesom na posameznih področjih poslovanja. Actual je del skupine DBA Group iz Italije. Skupina Actual je prisotna na trgih Slovenije, Hrvaške, Bosne in Hercegovine, Srbije ter Italije. Z jasnimi strateškimi usmeritvami in razvojnimi prioritetami postajamo pomemben igralec na trgih jugovzhodne Evrope, EU, Južne Amerike, Afrike in Rusije.
Na srečanju bomo kratko predstavili kdo smo, kaj delamo, kaj potrebujemo, kaj nudimo in kako je pri nas.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Predavanje je namenjeno predvsem študentom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


ponedeljek, 3. maj 2021 Matevž Mak: P2P omrežja in simulatorji

Danes, v ponedeljek, 3. maja 2021, bosta ob 16.00 uri prek spletnih orodij na daljavo izvedeni dve predavanji v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 3. maj 2021 ob 16.00 na daljavo


1. predstavitev:

-------------------------------------
PREDAVATELJ: Matevž MAK
-------------------------------------

Matevž Mak je študent 2. letnika magistrskega programa 2. stopnje Računalništvo in informatika na UP FAMNIT. Temo bo predstavil v okviru raziskovalnega seminarja, ki ga je izdelal pod mentorstvom Aleksandra Tošića.

-------------------------------------------------
NASLOV: P2P omrežja in simulatorji
-------------------------------------------------

POVZETEK:

P2P omrežja so decentralizirana omrežja, ki so sedaj zelo vroča tema za implementacijo sodobnih tehnologij, ker omogočajo deljenje CPU moči, spomina, prostora, bandwidtha. Problem p2p omrežja je, da ni dobrega simulatorja, ki bi upošteval vse parametre, ki jih mora imeti dober simulator, da lahko z gotovostjo trdimo, da bo tako tudi v realnem svetu. Zaradi tega problema so raziskovalci in prav tako inženirji razvili svoje lastne simulatorje, ki rešujejo nek specifičen problem.
Na področju raziskovanja je to velik problem, kajti raziskovalci ne morejo ponoviti eksperimentov nekoga drugega. Pri svojem raziskovanju bi rad implementiral svoje p2p omrežje, kjer bi simuliral nek protokol.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


2. predstavitev:

----------------------------------------
PREDAVATELJ: Stefan BJEDOV
----------------------------------------

Stefan Bjedov is a second year student of the master programme in Computer Science at UP FAMNIT. He will be presenting his Research seminar topic that he completed under the supervision of prof. dr. Marko Tkalčič.

-----------------------------------------------------------------------------------
NASLOV: Agile Scrum methodology in software development
-----------------------------------------------------------------------------------

POVZETEK:

With the success of Agile Methods, many companies are abandoning conventional development methodologies in favor of Agile development methodologies. Agile, rather than being predictive, is adaptable and people-centered. The aim of this research is to define the fundamental people factors that must be considered when implementing Agile in order for a team to be successful. Also to provide an overview of the people factors that are often overlooked when using agile to set up software development teams.
To accomplish this, three different-sized example Agile teams will be used and run using the same Agile concepts. The results will help decide which team will work together and deliver the most, provided that they all have all of the requisite skill sets and team member profiles.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!

 


četrtek, 15. april 2021 Jordan Aiko DEJA: Adaptive Visualisations Using Spatiotemporal and Heuristic Models to Support Piano Learning

V ponedeljek, 19. aprila 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 19. april 2021 ob 16.00 na daljavo

-------------------------------------------
PREDAVATELJ: Jordan Aiko DEJA
-------------------------------------------

Jordan Deja is a Filipino PhD student working on computational interactions and adaptive visualizations on music learning, in the HICUP research group at the University of Primorska. He earned his bachelor's (BS) and master's (MS) degrees in Computer Science from De La Salle University.

---------------------------------------------------------------------------------------------------------------------------------------------
NASLOV: Adaptive Visualisations Using Spatiotemporal and Heuristic Models to Support Piano Learning
---------------------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Learning the piano is hard and many approaches including piano-roll visualisations have been explored in order to support novices in this process. However, existing piano roll prototypes have not considered the spatiotemporal component (user's ability to press on a moving target) when generating these visualisations and user modelling. In this PhD, we are going to look into two different approaches: (i) exploring whether existing techniques in single-target spatiotemporal modelling can be adapted to a multi-target scenario such as when learners use several fingers to press multiple moving targets when playing the piano, and (ii) exploring heuristics by experts marking various difficult parts of songs, and deciding on specific interventions needed for marked parts. Using models and input from the experts we will design and build an adaptive piano roll training system to better support piano learners. We will evaluate and compare these models in various user studies involving novices trying to play piano pieces and develop their improvisation skills. We intend to uncover whether these adaptive visualisations will be helpful in the overall training of piano learners. Additionally, these models and adaptive visualisations will allow us to discover affordances that can potentially improve piano learning in general.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


četrtek, 8. april 2021 Sidra ASLAM: Secure and Privacy-Aware Blockchain Design: Requirements, Challenges and Solutions

V ponedeljek, 12. aprila 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 12. april 2021 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJICA: Sidra ASLAM
-----------------------------------------

Sidra Aslam received her master's degree in computer science from the COMSATS University Islamabad, Pakistan in January 2017. During this period, she worked on research projects and published research papers in scholarly journals and conference proceedings. In 2015, she received the best research paper award at the National Software Engineering Conference (NSEC), IEEE in Pakistan. She is currently an Assistant Researcher at the InnoRenew CoE, a teaching assistant and a Ph.D. student at the Faculty of Mathematics, Natural Sciences and Information Technologies, University of Primorska, Slovenia. Her current research interests include information security and privacy, blockchain, and semantic web technologies.

----------------------------------------------------------------------------------------------------------------------------------
NASLOV: Secure and Privacy-Aware Blockchain Design: Requirements, Challenges and Solutions
----------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

During the last decade, distributed ledger solutions such as blockchain have gained significant attention due to their decentralized, immutable, and verifiable features. However, the public availability of data stored on the blockchain and its link to users may raise privacy and security issues. In some cases, addressing these issues requires blockchain data to be secured with mechanisms that allow on-demand (as opposed to full) disclosure. In this seminar, we give a comprehensive overview of blockchain privacy and security requirements, and detail how existing mechanisms answer them. We provide a taxonomy of current attacks together with related countermeasures. We present a thorough comparative analysis based on various parameters of state-of the-art privacy and security mechanisms, we provide recommendations to design secure and privacy-aware blockchain, and we suggest guidelines for future research.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


četrtek, 25. marec 2021 Vito JANKO: Choosing the right counter-measures to stop COVID-19 infections

V ponedeljek, 29. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 29. marec 2021 ob 16.00 na daljavo

------------------------------------
PREDAVATELJ: Vito JANKO
------------------------------------

Vito Janko received his Ph.D. at the Jožef Stefan Institute in 2020, specializing in interpreting sensor data from various wearable devices -- and doing so in an energy-efficient manner. During his work for the institute he collaborated in many national and EU funded projects. He also participated in various data-science competitions: being the first author for the winning submission at the SHL competition, as well as winning the Cooking recognition challenge. He was recently a part of the team that achieved second place in the XPRIZE: Pandemic Response Challenge. In addition, he is active in the Slovenian Artificial Intelligence Society, where he acts as a member of the executive board.

------------------------------------------------------------------------------------------------------
NASLOV: Choosing the right counter-measures to stop COVID-19 infections
------------------------------------------------------------------------------------------------------

POVZETEK: 

A team from Jožef Stefan recently achieved second place in the prestigious international competition -- XPRIZE: Pandemic Response Challenge, and doing so, won half of the 500000$ prize fund. The competition was focused on answering very topical questions, such as how different counter-measures (e.g. lockdowns, school closing, etc.) affect the spread of COVID-19 infections and which of them to choose to best fight the pandemic. A member of the winning team will present their solution of using a novel combination of epidemiological models, machine learning and evolutionary algorithms to create one of the world’s best performing models.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


sreda, 17. marec 2021 Matej FILIPOVIĆ: Spletno orodje za svetovanje pri Scrum-u

V ponedeljek, 22. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 22. marec 2021 ob 16.00 na daljavo

------------------------------------------
PREDAVATELJ: Matej FILIPOVIĆ
------------------------------------------

Matej Filipović je študent magistrskega programa 2. stopnje Računalništvo in informatika na UP FAMNIT. Z delom kot razvijalec spletnih strani, sistemski analitik, lastnik izdelka in strokovnjak za tehnične rešitve v agilnih in tradicionalnih podjetjih je imel priložnost razumeti kako deluje razvoj iz različnih zornih kotov. Le-to mu pomaga razumeti širšo sliko in s tem položaj različnih zaposlenih na različnih položajih znotraj podjetij. Pri delu z različnimi Scrum ekipami se je soočil z veliko nepravilne uporabe Scrum ogrodja. Večinoma vodstvo in zaposleni niso razumeli smiselnost uporabe privzete Scrum strukture in so po svoji presoji spreminjali Scrum brez razumevanja posledic. Prav zato se sedaj posveča predstavitvi posledic in predlogom za izboljšave, da bi več ljudi bolje razumelo kaj se lahko zgodi, če posamezen del Scrum ogrodja prilagodijo.

---------------------------------------------------------------------
NASLOV: Spletno orodje za svetovanje pri Scrum-u
---------------------------------------------------------------------
POVZETEK: 

Scrum je agilna metodologija, ki se vse bolj uporablja v poslovnem svetu. Večinoma se uporablja na področju razvoja programske opreme, ki vsebuje zelo kompleksne procese, veliko različnih možnosti implementacije, veliko usklajevanja z različnimi interesnimi skupinami in veliko razumevanja končnega uporabnika. Za uspešno uporabo Scruma je potrebno imeti prilagojeno strukturo organizacije in pravilno postavljene Scrum procese, ki omogočajo tekoče delo na projektih. Veliko podjetij želi uporabljati Scrum, pri tem pa ne upoštevajo vseh dejavnikov in ne prilagodijo okolja ter se zaradi tega lahko uspešnost projektov zmanjša pri uvedbi Scruma. Naš cilj je izdelava spletne strani z integriranim vprašalnikom. Z odgovori iz vprašalnika bomo ugotovili na katerih področjih podjetje nepravilno uporablja Scrum in jim bomo predstavili za specifična področja posledice nepravilne uporabe in predloge za izboljšavo.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


četrtek, 11. marec 2021 Sead JAHIĆ: Annotated lexicon for sentiment analysis in Bosnian

V ponedeljek, 15. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 15. marec 2021 ob 16.00 na daljavo

------------------------------------------
PREDAVATELJ: Sead JAHIĆ
------------------------------------------

Sead Jahić is a 3rd year PhD student of computer science at UP FAMNIT. His main research focus is on Language Technologies and Sentiment Analysis. He is also a teaching assistant at University of Primorska, Department of Information Sciences and Technologies.

-------------------------------------------------------------------------------------
NASLOV: Annotated lexicon for sentiment analysis in Bosnian
-------------------------------------------------------------------------------------
POVZETEK: 

The talk presents the first sentiment annotated lexicon of Bosnian language. The language coverage of the lexicon is evaluated using two corpora. The usability of the lexicon was already proven on a Tweeter-based comparison.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


petek, 5. marec 2021 Raziskovalna infrastruktura CLARIN.SI

V ponedeljek, 8. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 8. marec 2021 ob 16.00 na daljavo

------------------------------------------
PREDAVATELJ: Tomaž ERJAVEC
------------------------------------------

Tomaž Erjavec je zaposlen na Odseku za tehnologije znanja Instituta Jožef Stefan, kjer se ukvarja s področji jezikovnih tehnologij, standardov zapisa jezikovnih virov in digitalne humanistike. Zaposlen je bil tudi na Univerzi v Edinburgu in na Tokijski univerzi ter poučeval na Mednarodni podiplomski šoli Jožefa Stefana, na Univerzi v Gradcu in Univerzi v Novi Gorici. Je nacionalni član odbora ISO TC37 SC4 "Language resource management" in nacionalni koordinator raziskovalne infrastrukture CLARIN.SI.

-----------------------------------------------------------------
NASLOV: Raziskovalna infrastruktura CLARIN.SI
-----------------------------------------------------------------
POVZETEK: 

V predavanju bo predstavljena raziskovalna infrastruktura za jezikovne vire in tehnologije CLARIN.SI, del evropske infrastrukture CLARIN. Na kratko bo povzet organizacijski okvir CLARIN(.SI), nato pa storitve, ki jih nudi raziskovalcem in študentom s področij računalniškega jezikoslovja in digitalne humanistike. Bolj nadrobno bomo obravnavali CTS certificirani repozitorij CLARIN.SI, s katerega je mogoče prevzeti raznovrstne jeziko(slo)vne podatkovne množice, kot tudi arhivirati lastne, s čimer prispevamo k uresničevanju koncepta odprte znanosti.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


nedelja, 28. februar 2021 Jamolbek MATTIEV: The effect of distance metric "directness" on class association rules

V ponedeljek, 1. marca 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 1. marec 2021 ob 16.00 na daljavo

----------------------------------------------
PREDAVATELJ: Jamolbek MATTIEV
----------------------------------------------

Jamolbek Mattiev obtained his PhD degree in Computer Science at UP FAMNIT. He got his Master degree in Computer Science from National University of Uzbekistan and was awarded with first degree diploma at “the best Master Dissertation Work of Uzbekistan” competition in his master studies. He also studied at Turin Polytechnic University (Italy) in his master study as an exchange student. He is doing his research in the field of Data Mining. His research fields include Artificial Intelligence, Data Mining, Machine Learning. In particular, the sub-fields of Supervised and Unsupervised Learning, Frequent Pattern Discovery, Association Rule Learning, Classification and Clustering.

----------------------------------------------------------------------------------------------------------
NASLOV: The effect of distance metric "directness" on class association rules
----------------------------------------------------------------------------------------------------------
POVZETEK: 

Huge amounts of data are being collected and analyzed nowadays. By using the popular rule-learning algorithms, the number of rules discovered on those big datasets can easily exceed thousands. To produce compact and accurate classifiers, such rules have to be grouped and pruned. To group the rules, we need appropriate distance metrics, because distance metrics are very important in clustering applications. To solve the above-mentioned problem, we present new methods (use different distance metrics) that are able to reduce the number of class association rules produced by classical class association rule classifiers, while maintaining an accurate classification model that is comparable to the ones generated by state-of-the-art classification algorithms. We also present how distance metrics are affecting the clustering of class association rules.
Experimental results performed on selected datasets from the UCI ML repository show that our methods are able to learn classifiers containing significantly less rules than state-of-the-art rule learning algorithms on datasets with larger number of examples. On the other hand, classification accuracies of the newly developed methods are not significantly different from state-of-the-art rule-learners on most of the datasets.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://upr-si.zoom.us/j/297328207

Vabljeni!


četrtek, 18. februar 2021 Marko NOVAK: Potisna obvestila in njihova uporaba v sodobnih sistemih obveščanja

V ponedeljek, 22. februarja 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 22. februar 2021 ob 16.00 na daljavo

----------------------------------------
PREDAVATELJ: Marko NOVAK
----------------------------------------

Marko Novak je študent magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT. Trenutno se, poleg rednega dela na področju menedžmenta v gostinstvu in turizmu ter projektnega vodenja, ukvarja z magistrskim delom, v katerem skuša razviti mobilno aplikacijo za pametno obveščanje strank o prostih terminih.

----------------------------------------------------------------------------------------------------------
NASLOV: Potisna obvestila in njihova uporaba v sodobnih sistemih obveščanja
----------------------------------------------------------------------------------------------------------

POVZETEK:

Sodobni informacijski sistemi nudijo uporabnikom vse več in več koristnih informacij na vseh področjih. Prav zaradi tako velike količine podatkov so sistemi obveščanja ključni za učinkovito komunikacijo z uporabniki. Vsi si želimo, da bi podatki, ki jih prejemamo bili kar se da uporabni in pravočasni, hkrati pa tudi nemoteči. Na seminarju bodo predstavljena potisna obvestila, kot eden od možnih načinov obveščanja v sodobnih informacijskih sistemih.

---------------------------------------------------------------------------------------------------

Predstavitev v okviru Ponedeljkovega seminarja računalništva in informatike se šteje kot del obveznosti pri predmetu Raziskovalni seminar II.

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave: https://upr-si.zoom.us/j/297328207

Vabljeni! 


sreda, 13. januar 2021 Vida GROZNIK: Osnove priporočilnih sistemov

Tokrat izjemoma v petek, 15. januarja 2021, bo ob 9.30 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 15. januar 2021 ob 9.30 na daljavo

--------------------------------------------
PREDAVATELJICA: Vida GROZNIK
--------------------------------------------

Vida Groznik je asistentka za računalništvo na Fakulteti za matematiko, naravoslovje in informacijske tehnologije na Univerzi na Primorskem ter raziskovalka v Laboratoriju za umetno inteligenco na Fakulteti za računalništvo in informatiko Univerze v Ljubljani. Doktorirala je leta 2018 z delom, ki je tesno povezovalo umetno inteligenco in nevrologijo. Je (so)avtorica več raziskovalnih člankov in poglavij v knjigah s področja umetne inteligence v medicini. Pridobila in delala je na več projektih financiranih s programov EU, Ministrstva za izobraževanje, znanost in šport ter Slovenskega podjetniškega sklada.

-------------------------------------------------------
NASLOV: Osnove priporočilnih sistemov
-------------------------------------------------------

POVZETEK:
Priporočilni sistemi so v zadnjem desetletju doživeli razcvet in so čedalje bolj prisotni tudi v našem vsakdanjem življenju. Z uporabo priporočilnih sistemov nam ponudniki določenih storitev lahko prikazujejo vsebine, ki bodo za nas še posebej zanimive, predvsem učinkovito pa pristope priporočilnih sistemov izkoriščajo (spletni) trgovci in ponudniki multimedijskih vsebin (npr. Netflix). Pogledali si bomo osnove priporočilnih sistemov, kaj so, kako delujejo in kakšne so njihove koristi. Pogledali si bomo tudi eno izmed tehnik skupinskega filtriranja.

---------------------------------------------------------------------------------------------------

Seminar bo hkrati preizkusno predavanje za prvo izvolitev v pedagoški naziv visokošolska učiteljica - docentka za področje »Računalništvo in informatika«.

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave: https://upr-si.zoom.us/j/89812476390?pwd=bkVwZG5Rc2RMKzZLTlhDNDVYcU9oZz09

Vabljeni!


sreda, 6. januar 2021 Daring creativity: about the new project LOOSE CELLS – Innovating at the Crossfield of Art and Science and how to become part of it

V ponedeljek, 11. januarja 2021, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 11. januar 2021 ob 16.00 na daljavo

------------------------------------------------------------------------------------------------------------------------
PREDAVATELJA:
Peter PURG (uvodna predstavitev) in Črtomir TAVZES (kratka predstavitev laboratorijev InnoRenew CoE)
------------------------------------------------------------------------------------------------------------------------

Peter Purg currently leads the New Media module in the Digital//Media Arts and Practices graduate//postgraduate programme at the School of Arts, University of Nova Gorica, where he acts as Associate Professor, projects coordinator as well as expert across realms of digital culture and media. Having obtained a PhD in media art, communication science and literature from the University of Erfurt (Germany), his scientific inquiries now include media arts pedagogy, interdisciplinary collaboration and innovation, media art and media ecology. His artistic interests range from (lecture) performances and intermedia installations to public-space interventions as well as participatory creative processes. He is active in the field of cultural and higher education policymaking, assessment and quality assurance. Peter Purg currently leads the interdisciplinary MAST – Module in Art, Science and Technology project (DG Connect) – as well as School of Arts' teams in projects such as KONS - Platform for Investigative Arts (EU Cohesion), DIVA - Art:Biz Innovation Ecosystem (Interreg SI-IT), EmindS (Erasmus+) and TV Free Europe (Creative Europe). He curated the 20th international media/contemporary art festival Pixxelpoint 2019. Full CV at http://au.ung.si/peterpurg.

Dr. Črtomir Tavzes is a researcher at the InnoRenew CoE, an assistant research scientist at the University of Primorska, and conservation restoration adviser at the Institute for the Protection of Cultural Heritage of Slovenia. He earned his PhD in biotechnology in 2003 from the University of Ljubljana, Slovenia. In the following two years, he was a postdoctoral fellow at the Metropolitan Museum of Art in New York, where he continued working until 2008. Upon the return to Slovenia, he also served as the director of the Institute of Wood Science and Technology, and Sustainable Development (until 2014). His research experience spans from enzymatic wood degradation and wood liquefaction through wood pest control to the immunological detection of material substance of cultural heritage objects.

------------------------------------------------------------------------------------------------------------------------
NASLOV:
Daring creativity: about the new project LOOSE CELLS – Innovating at the Crossfield of Art and Science and how to become part of it
------------------------------------------------------------------------------------------------------------------------

POVZETEK:
The project LOOSE CELLS – Innovating at the Crossfield of Art and Science is dedicated to creation and innovation based on the blending of science, art and technology. In this way, it joins those intersectoral collaborations, which have already aroused a lot of international interest, as they can inspire the development of social and economic innovations. Innovation is also the goal of the project. The main activity will be the co-creation of an “art-science object”, which will be designed and created by students of diverse levels and backgrounds. It will be realised under the mentorship of Assoc. Prof. Peter Purg, PhD from School of Arts at University of Nova Gorica, with the advices of InnoRenew CoE experts and with the support of Assoc. Prof. Tilen Žbona, PhD from the Faculty of Education as well as the artists, producers and technicians within the PiNA association or the RUK network. In the seminar, you will learn more about the programme of the project and how to become part of. You will be also invited to discuss any questions with the representatives of the project.

------------------------------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.

Do predavanja dostopate tako, da se povežete prek sledeče povezave: https://us02web.zoom.us/j/297328207

Vabljeni!


torek, 5. januar 2021 Maheshya WEERASINGHE: Instructional Guidance in Extended Reality for Learning

V ponedeljek, 21. decembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 21. december 2020 ob 16.00 na daljavo

-----------------------------------------------------------
PREDAVATELJICA: Maheshya WEERASINGHE
-----------------------------------------------------------

Maheshya Weerasinghe, Computer Science (PhD 3rd Year) HICUP Lab, International joint degree program with University of St.Andrews, UK, Research Areas: Human-Computer Interaction, Extended Realities, e-Learning and Cognitive Augmentation.

---------------------------------------------------------------------------------------------
NASLOV: Instructional Guidance in Extended Reality for Learning
---------------------------------------------------------------------------------------------
POVZETEK: 

Experiential learning refers to the process of learning through experience or more specifically "learning through reflection on doing". These experiences can also be simulated in Extended Reality (XR) – interactive environments generated by computer technology combining real and virtual worlds. Such systems have proved in the past as excellent tools for providing guidance to teach different skills and activities. However, there are still many questions that remain to be answered, for instance: How to improve instructional guidance through "personalisation"? How to adapt the guidance to facilitate learners move from one stage to another in the experiential learning cycle? How to design and implement guidance in adaptive learning environments where the learning system needs to take over all or some of the tasks commonly conduct by educators and overall, how personalisation of instructional guidance influence the outcomes of an experiential learning task. To contribute to the above research questions we aim to introduce a comprehensive design space grounded in (i) XR technology, and (ii) theoretical underpinnings of learning and guidance. Then use these dimensions to describe key design decisions in prior work and elucidate existing gaps. Besides, following the design space, we intend to build an adaptive, personalised instructional guidance system to facilitate learners to move spontaneously from one stage to another in the experiential learning cycle.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


sobota, 28. november 2020 Challenges for Data Mining in Distributed Sensor Networks

V ponedeljek, 30. novembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 7. december 2020 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJ: Branko KAVŠEK
-----------------------------------------

Branko Kavšek has a PhD in Computer Science from the University of Ljubljana. He is an assistant professor at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies, a researcher at the Department of Information Sciences and Technologies and member of the Artificial Intelligence Laboratory at the Jozef Stefan Institute in Ljubljana. His research fields include Artificial Intelligence, Data Mining, Machine Learning. In particular, the sub-fields of Supervised and Unsupervised Learning, Frequent Pattern Discovery and Association Rule Learning, Learning Probabilistic Models and Bayesian Networks Learning, Clustering, and Data Mining applied to Big Data.

---------------------------------------------------------------------------------------------
NASLOV: Challenges for Data Mining in Distributed Sensor Networks
---------------------------------------------------------------------------------------------

POVZETEK: 

In this seminar we will present an overview of Distributed Sensor Networks (DSNs) with particular emphasis on Wireless Sensor Networks (WSNs) and the use of Data Mining (DM) to analyze the data collected by WSNs. We will start by giving an overview of the history of sensor networks, stressing the technological issues, distributed data management and distributed hypothesis formation. In the second part we will present the application of simple DM methods on data collected during the ARRS project "Autonomic edge computing for air quality monitoring". The last part of the seminar will be devoted to presenting evolution opportunities and challenges.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


četrtek, 29. oktober 2020 Đorđe KLISURA: Analyzing Global Terrorism Database with R

V ponedeljek, 2. novembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 2. november 2020 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJ: Đorđe KLISURA
-----------------------------------------

Đorđe Klisura comes from Serbia. He is a first-year student of Data
Science program at UP FAMNIT. He graduated from UP FAMNIT and received
Bachelor’s degree in Computer Science.

-------------------------------------------------------------------------
NASLOV: Analyzing Global Terrorism Database with R
-------------------------------------------------------------------------

POVZETEK:
 With the increase of terrorist activity around the world, it has become
more important than ever to analyze and understand these activities over
time. Although the data on terrorist activities are detailed and
relevant, the complexity of the data has rendered the understanding and
analysis difficult. We present a visual analytical approach to
effectively identify related entities. We will be working with The
Global Terrorism Database (GTD), that is an open-source database
including information on domestic and international terrorist attacks
around the world from 1970 through 2017, and now includes more than
180,000 cases.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni! 


petek, 25. september 2020 Sead JAHIĆ: Handling tweet opinion by using weighted lexicon and lexicon-based approach

V ponedeljek, 28. septembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 28. september 2020 ob 16.00 na daljavo

-----------------------------------
PREDAVATELJ: Sead JAHIĆ
-----------------------------------

Sead Jahić is a teaching assistant at University of Primorska, Department of Information Sciences and Technologies.
After receiving High School diploma, he went to University of Tuzla (UNTZ), where in 2012 he graduated as Mathematician (Math Teacher).
His first working experience was teaching assistant at UNTZ, in the field of Applied Mathematics and Computer Science.
The main topic of his research is Sentiment Analysis of languages, where the focus is on developing overall sentiment analysis for West Balkan languages from the same West Slavic group.
The idea is to use different Machine Learning and Deep Learning techniques in sentiment analysis with those languages, and show huge connectivity between them.

-----------------------------------------------------------------------------------------------------------------------
NASLOV: Handling tweet opinion by using weighted lexicon and lexicon-based approach
-----------------------------------------------------------------------------------------------------------------------

POVZETEK:

In this seminar, we will present an introduction to creating a lexicon with weight values of words from our database. Given that the lexicon is made in such a way that the amount / number of positive and negative words affects the final outcome, we come to the conclusion that at some point, especially in neutral sentiment, we have words whose power can change the polarity of neutral to positive / negative. Therefore, when calculating sentiment, we relied on the weight lexicon created for a given amount of data.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni! 


torek, 22. september 2020 Patrik KOCJANČIČ: Primerjava vnosa besedila v virtualnem okolju na različnih postavitvah tipkovnice

Tokrat, izjemoma v četrtek, 24. septembra 2020, bo ob 10.00 uri prek spletnih orodij na daljavo izvedeno
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 24. september 2020 ob 10:00 na daljavo

--------------------------------------------
PREDAVATELJ: Patrik KOCJANČIČ
--------------------------------------------

Patrik Kocjančič je študent magistrskega študijskega programa Računalništvo in informatika na UP-FAMNIT. Trenutno se ukvarja z magistrskim delom, v katerem skuša najti optimalno rešitev (postavitev tipkovnice) za vnos besedila v virtualnem okolju.

------------------------------------------------------------------------------------------------------------------------------
NASLOV: Primerjava vnosa besedila v virtualnem okolju na različnih postavitvah tipkovnice
------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Vnos besedila je precej raziskano področje tako v realnem svetu kot tudi v virtualnem svetu. Raziskovalci preučujejo različne načine vnosa besedila bodisi tip vnosa bodisi vnos na različnih postavitvah tipkovnice.  V tem seminarju bomo predstavili področje tehnologije VR, pripravo virtualnega okolja, študijo, ki je potekala v okviru magistrskega dela  ter rezultate le-te. Cilj študije je bil preizkusiti različne postavitve tipkovnice in le-te primerjati s standardom QWERTZ. Testirali smo 4 različne postavitve tipkovnice, to so: QWERTZ, DVORAK, OPTI in CIRCLE. Na koncu bo potekala še krajša razprava o rezultatih in kakšna možna izboljšava oz. predlogi pri izvedbi nadaljnjih študij.

---------------------------------------------------------------------------------------------------

Predavatelj bo svoj prispevek predstavil v okviru Raziskovalnega seminarja na magistrskem študijskem programu Računalništvo in informatika.

Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni! 


sobota, 19. september 2020 Jordan Aiko DEJA: Revisiting AR Piano Projection

V ponedeljek, 21. septembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 21. september 2020 ob 16.00 na daljavo

--------------------------------------------
PREDAVATELJ: Jordan Aiko DEJA
--------------------------------------------

Jordan Aiko Deja is a PhD student from UP FAMNIT, working on computational interactions and adaptive visualizations on music learning. He is part of the HICUP Lab Research group led by Dr Matjaž Kljun. Prior to that, he earned his bachelor's and master's degree in Computer Science from De La Salle University in Manila, Philippines.

------------------------------------------------------
NASLOV: Revisiting AR Piano Projection
------------------------------------------------------

POVZETEK: 

For around 300 years, people have been learning to play the modern piano either with a teacher or by themselves. In recent years, teaching and learning have been enhanced using computer-based technologies to support novices during this process. In this seminar, we present the results of a recent systematic literature review that reveal enhancements using Augmented Reality (AR) in teaching the piano. Different modalities to support teaching and learning the piano were also explored using focus groups. This presentation involves findings in the early stages of a PhD thesis. The different phases and future work will also be discussed.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


petek, 11. september 2020 Jamolbek MATTIEV: Distance based Clustering of Class Association Rules to Build a Compact, Accurate and Descriptive Classifier

V ponedeljek, 14. septembra 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 14. september 2020 ob 16.00 na daljavo

----------------------------------------------
PREDAVATELJ: Jamolbek MATTIEV
----------------------------------------------

Jamolbek Mattiev has a Master degree in Computer Science from National University of Uzbekistan. He was awarded with first degree diploma at “the best Master Dissertation Work of Uzbekistan” competition in his master studies. He is a Teaching Assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies and he is final year PhD student at the Department of Information Sciences and Technologies.

------------------------------------------------------------------------------------------------------------------------------------
NASLOV: Distance based Clustering of Class Association Rules to Build a Compact, Accurate and Descriptive Classifier
------------------------------------------------------------------------------------------------------------------------------------
POVZETEK:

In this research work, we propose new methods that are able to reduce the number of class association rules produced by “classical” class association rule classifiers, while maintaining an accurate classification model that is comparable to the ones generated by state-of-the-art classification algorithms. More precisely, we propose new associative classifiers, called DC, DDC and CDC, that use distance-based agglomerative hierarchical clustering as a post-processing step to reduce the number of its rules, and in the rule-selection step, we use different strategies (based on database coverage and cluster centers) for each algorithm.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


sreda, 9. september 2020 Sead JAHIĆ: Determining sentiment of tweets using first Bosnian lexicon and (AnA)-affirmative and non-affirmative words

Tokrat, izjemoma v četrtek, 10. septembra 2020, bosta ob 10.00 uri prek spletnih orodij na daljavo izvedeni dve predavanji v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 10. september 2020

1. predavanje bo ob 10.00:
======================

---------------------------------------
PREDAVATELJ: Nikola MARIN
---------------------------------------

Nikola Marin is a MSc student of Computer Science at UP FAMNIT. He recently became interested in the business application industry and explores business application design and development.

------------------------------------------------------------------------------------------------------------------------------
NASLOV: Enterprise Resource Planning (ERP) System for Subcontractors of Telekom Slovenije
------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Telekom Slovenije has many subcontractors supporting their infrastructure and installations. Those subcontractors are small and medium-size businesses who are using just email and a Microsoft Office package for their e-business. Because of that, they experience data loss, misunderstandings, human errors and non-optimal business. Based on previous research where business process analysis, ERP implementation technologies and methodologies were explored, this seminar aims to analyse business processes inside Telekom Slovenije subcontractor companies and to propose a conceptual model of ERP system that could fit and provide optimal business in the long run for such companies.

---------------------------------------------------------------------------------------------------

The seminar presentation will be part of the Research Seminar on the Computer Science Masters Program.

===========================================================================

2. predavanje bo ob 10.30:
======================

---------------------------------------
PREDAVATELJ: Sead JAHIĆ
---------------------------------------

Sead Jahić is a teaching assistant at University of Primorska, Department of Information Sciences and Technologies.
After receiving High School diploma, he went to University of Tuzla (UNTZ), where in 2012 he graduated as Mathematician (Math Teacher).
His first working experience was teaching assistant at UNTZ, in the field of Applied Mathematics and Computer Science.
The main topic of his research is Sentiment Analysis of languages, where the focus is on developing overall sentiment analysis for West Balkan languages from the same West Slavic group.
The idea is to use different Machine Learning and Deep Learning techniques in sentiment analysis with those languages, and show huge connectivity between them.

------------------------------------------------------------------------------------------------------------------------------------------------------------------
NASLOV: Determining sentiment of tweets using first Bosnian lexicon and  (AnA)-affirmative and non-affirmative words
------------------------------------------------------------------------------------------------------------------------------------------------------------------

POVZETEK:

The talk will present a simple model for sentiment tagging of Tweeter messages based on AnA (affirmative and non-affirmative) words and tagged sentiment dictionary (Kadunc-Šikonja dictionary).
Lexicon was used in combination with intensifiers, where intensifier (AnA word), that stand next to the word, produce more powerful (more positive or more negative) sentiment value of word - tweet at all.
This also presents our first step in creating the first Bosnian lexicon and proceed the same on Sentiment analysis of tweets written in Bosnian where the major topic will be tweeting about Bosnian National basketball player Džanan Musa.

---------------------------------------------------------------------------------------------------

Predavanji bosta potekali v angleškem jeziku prek spletnega orodja Zoom.
Do predavanj dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


sreda, 26. avgust 2020 Niki HROVATIN: Naivni Bayes in umetna konvolucijska nevronska mreža za identifikacijo padcev s pomočjo pametnih tal

Tokrat v petek, 14. avgusta 2020, bo ob 10.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 14. avgust 2020 ob 10.00 na daljavo

----------------------------------------------
PREDAVATELJ: Niki HROVATIN
----------------------------------------------

Niki Hrovatin je študent Magistrskega študijskega programa računalništva in informatike na UP-FAMNIT. Trenutno se ukvarja z magistrsko nalogo v kateri skuša razvit sistem za neintruzivno identifikacijo padcev.

----------------------------------------------
NASLOV: Naivni Bayes in umetna konvolucijska nevronska mreža za identifikacijo padcev s pomočjo pametnih tal
----------------------------------------------
POVZETEK: 

Padci so pri starostnikih pogosti pojav in veljajo za vodilni vzrok poškodb oseb nad 65 letom starosti. Tretjina oseb nad 65 letom in polovica oseb nad 85 letom starosti doživi vsaj en padec letno. Pri tem se tudi verjetnost hude poškodbe viša z letom starosti in ob padcu je treba nemudoma nuditi pomoč osebi.
Da lahko nudimo takojšnjo pomoč, je potrebno v čim krajšem času zaznati padec, ampak v nekaterih primerih se oseba tako hudo poškoduje, da ne utegne klicati na pomoč in padec je prepozno opažen ter oseba doživi dodatne poškodbe zaradi dodatnega časa.
Na seminarju bo predstavljen sistem za identifikacijo padcev osnovan na prototipu tal z vgrajenimi senzorji pritiska. Predstavili bomo proces zbiranja podatkov, podatke in postopek pred obdelave podatkov, uvedena bo metoda Naivnega Bayesa in umetne konvolucijske nevronske mreže ter na koncu bo predstavljena evalvacija modelov in rezultati.

----------------------------------------------
Predavanje bo potekalo v slovenskem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni


nedelja, 5. julij 2020 Cuauhtli CAMPOS: Pinhole Paper: Making Static Objects Perceptually Dynamic with Rear Projection on Perforated Paper

V ponedeljek, 6. julija 2020, bo ob 17.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE  Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 6. julij 2020 ob 17.00 na daljavo

Pozor! PON seminar RIN tokrat, izjemoma, prične ob 17h (ne ob 16h kot je to običajno)

Warning! The MON CS Seminar starts at 17h this time (not at 16h as usual)

----------------------------------------------
PREDAVATELJ: Cuauhtli CAMPOS
----------------------------------------------

Cuauhtli Campos is a PhD student in Computer Science in the field of Human-Computer Interaction at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is also a member of the HICUP Lab at the Department of Information Sciences and Technologies.

-----------------------------------------------------------------------------------------------------------------------------------
NASLOV: Pinhole Paper: Making Static Objects Perceptually Dynamic with Rear Projection on Perforated Paper
-----------------------------------------------------------------------------------------------------------------------------------
POVZETEK:

We explore paper augmentation technique where a tablet computer is placed bellow the paper to modify its content appearance and create the illusion of making static object perceptually dynamic. Our approach is based on Deformation Lamps (DL) technique applied to rear projection (instead of commonly used front projection), which removes the need for fix setups or handling and wearing dedicated hardware. The key challenge is to ensure appropriate mixing of light reflecting from the paper (e.g. what is printed on the paper) and the light that is coming though the paper (e.g. tablet screen). This is particularly the case as a relatively weak light source of a tablet screen is being used. We address this through modification of optical properties of paper with perforation and a new method for generating dynamic luminance imaging which successful make static object perceptually dynamic. The outcomes provide a guide to how paper needs to be modified in order to achieve the illusion of making static object perceptually dynamic.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni


nedelja, 31. maj 2020 Nuwan ATTYGALLE: Pandemic era app development

V ponedeljek, 1. junija 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 1. junij 2020 ob 16.00 na daljavo.

----------------------------------------------
PREDAVATELJ: Nuwan ATTYGALLE
----------------------------------------------

Nuwan Attygalle is a PhD student in Computer Science in the field of Human-Computer interactions and a teaching assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies. He is also a member of the HICUP Lab at the Department of Information Sciences and Technologies.

--------------------------------------------------------
NASLOV: Pandemic era app development
--------------------------------------------------------

The presenter is going to talk about a technological approach to help slow the spread of SARS-COV-2 by simplifying and accelerating the process of notifying people who might have been exposed to the virus while preserving their privacy.
Key to end, control the spread in an epidemic is rapid identification and quarantine of the infected individuals, determination of whom they have had close contact within the previous days and decontamination of locations the infected individual has visited.
This process is labour intensive, susceptible to memory errors, and fraught with privacy concerns. But the main advantage in this era is the availability of smart-phones, mobile devices, and with the right technology we can overcome above difficulties and track down infected individuals in a much productive way.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


nedelja, 24. maj 2020 Jamolbek MATTIEV: Clustering class association rules to form a Compact and Meaningful Associative Classifier

V ponedeljek, 25. maja 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 25. maj 2020 ob 16.00 na daljavo 

----------------------------------------------
PREDAVATELJ: Jamolbek MATTIEV
----------------------------------------------

Jamolbek Mattiev has a Master degree in Computer Science from National University of Uzbekistan. He was awarded with first degree diploma at “the best Master Dissertation Work of Uzbekistan” competition in his master studies. He is a Teaching Assistant at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies and he is the third year PhD student at the Department of Information Sciences and Technologies.
He is doing his PhD in the field of Computer Science (Data Mining). His research fields include Artificial Intelligence, Data Mining, Machine Learning. In particular, the sub-fields of Supervised and Unsupervised Learning, Frequent Pattern Discovery, Association Rule Learning, Classification and Clustering.

---------------------------------------------------------------------------------------------------------------------------------------
NASLOV: Clustering class association rules to form a Compact and Meaningful Associative Classifier
---------------------------------------------------------------------------------------------------------------------------------------
Huge amounts of data are being collected and analyzed nowadays. By using the popular rule-learning algorithms, the number of rules discovered on those big datasets can easily exceed thousands of rules. To produce compact and accurate classifiers, such rules have to be grouped and pruned, so that only a reasonable number of them are presented to the end user for inspection and further analysis. To solve this problem researchers have proposed several associative classification approaches that combine two important data mining techniques, namely, classification and association rule mining.

In this research, we propose a new method that is able to reduce the number of class association rules produced by classical class association rule classifiers, while maintaining an accurate classification model that is comparable to the ones generated by state-of-the-art classification algorithms. More precisely, we propose a new associative classifier – CMAC, that uses agglomerative hierarchical clustering as a post-processing step to reduce the number of its rules.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


petek, 15. maj 2020 Cuauhtli CAMPOS: Interactive paper with back print illumination and rear-projection

V ponedeljek, 18. maja 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 18. maj 2020 ob 16.00 na daljavo

------------------------------------------
PREDAVATELJ: Cuauhtli CAMPOS
------------------------------------------

Cuauhtli Campos is a PhD student in Computer Science in the field of Human-Computer Interaction at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies.

-------------------------------------------------------------------------------------------------------------------------
NASLOV: Interactive paper with back print illumination and rear-projection
-------------------------------------------------------------------------------------------------------------------------

POVZETEK:

We live in an era where our society remains to be heavily dependent on paper. The simplicity, sensory richness and versatility enabled the paper to maintain its importance in this digital age. However despite these obvious advantages of paper our lives are becoming more and more digital. This introduces a need for new solutions that will integrate digital technology with paper whilst maintaining its unique aforementioned properties. This talk presents the findings of a study of rear projection and back print illumination using paper as screen material. 

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.

Do predavanja dostopate tako, da se povežete prek sledeče povezave: https://us02web.zoom.us/j/297328207

Vabljeni! 


nedelja, 10. maj 2020 Elham MOTAMEDI: User-centric multimedia characteristics: A Survey

V ponedeljek, 11. maja 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 11. maj 2020 ob 16.00 na daljavo 

-------------------------------------------------
PREDAVATELJICA: Elham MOTAMEDI
-------------------------------------------------

Elham Motamedi is a PhD student at UP FAMNIT. She completed her Master's degree of networked systems at the University of Tehran, Iran and her Bachelor's degree of information technology at the Isfahan University of Technology, Iran. Her research interests include multimedia and recommender systems.

--------------------------------------------------------------------------------
NASLOV: User-centric multimedia characteristics: A Survey
--------------------------------------------------------------------------------

The properties of multimedia content are usually represented as content-centered metadata, such as type (e.g. video, audio, text, etc.), duration, resolution, etc. However, in user-centric applications, such as personalized recommender systems, it makes more sense to describe multimedia items with user-centric meta-data, such as genre, emotions, etc. For example, a recommender system would make a better job of explaining recommendations in the form of "You have been recommended this film because you liked comedies" than "You have been recommended this film because you liked 1:30 long films". The problem of such a characterization is that it usually requires humans to annotate with user-centric metadata, which is expensive. Hence,  research efforts have been made to develop automatic methods for mapping multimedia content to user-centric item characteristics.
In this presentation, I present some of the state-of-the-art studies in studying automatic approaches for predicting user-centric characteristics of multimedia contents and some raw ideas of future work.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!


nedelja, 3. maj 2020 Vladimir BATAGELJ: NetsJSON - part 2

On Monday, 4th of May 2020 at 4 PM we kindly invite you to attend the (on-line)  MONDAY COMPUTER SCIENCE SEMINAR organized by the Department of Information Sciences and Technologies at UP FAMNIT and UP IAM, this time joint with the MATHEMATICAL RESEARCH SEMINAR organized by the Department of Mathematics at UP FAMNIT and UP IAM.

TIME and PLACE: 4th of May 2020 at 4 PM on-line 

-------------------------------------------
PRESENTER: Vladimir BATAGELJ
-------------------------------------------

Vladimir Batagelj, Professor Emeritus
   IMFM - Institute of Mathematics, Physics, and Mechanics
   Jadranska 19, 1000 Ljubljana, Slovenia and
   University of Primorska, Andrej Marušič Institute, Koper and
   NRU HSE, Applied Network Research Lab, Moscow
W: http://vladowiki.fmf.uni-lj.si/doku.php?id=vlado

RECENT PUBLICATIONS:
On fractional approach to analysis of linked networks
   (https://doi.org/10.1007/s11192-020-03383-y)
Clustering and Generalized ANOVA for Symbolic Data
   (http://www.iste.co.uk/book.php?id=1597)
Temporal bibliographic networks
   (https://authors.elsevier.com/a/1aRuH6EAijpVq-)
Advances in Network Clustering and Blockmodeling (book) 
   (https://www.wiley.com/en-si/Advances+in+Network+Clustering+and+Blockmodeling-p-9781119224709)

---------------------------------
TITLE: NetsJSON - part 2
---------------------------------
ABSTRACT: 

A network consists of a graph and additional data on (properties of) nodes and/or links.
In some applications, the values of properties can be structured objects such us intervals, compositions, sets of keywords, temporal quantities, etc. Standard network description formats do not support such kinds of networks. 
We propose a JSON based format NetsJSON as a general network description option. It is supported in Python by a network analysis library Nets. The NetsJSON descriptions can be used as input data for network visualizations based on D3.js.

REFERENCES:
[1] Batagelj, V.: Python Packages for Networks. Encyclopedia of Social Network Analysis and
    Mining. Reda Alhajj, Jon Rokne (Eds.), Springer, 2017
    https://link.springer.com/referenceworkentry/10.1007%2F978-1-4614-7163-9_110210-1
[2] Batagelj, V., Maltseva, D.: Temporal bibliographic networks. Journal of Informetrics,
    14(2020)1, 101006. https://www.sciencedirect.com/science/article/pii/S1751157719301439
[3] Batagelj, V.: Nets. https://github.com/bavla/Nets
[4] Batagelj, V.: NetsJSON. https://github.com/bavla/netsJSON

---------------------------------------------------------------------------------------------------

The seminar will be held in English through the videoconferencing tool Zoom.
This seminar is the follow-up of the seminar given on the 6th of April 2020.
You can connect to the seminar using the following link:

https://zoom.us/j/297328207

You are very welcome!


nedelja, 19. april 2020 Sidra ASLAM: Personal Information Management on Distributed Ledger Technology

V ponedeljek, 20. aprila 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 20. april 2020 ob 16.00 na daljavo

-----------------------------------------
PREDAVATELJICA: Sidra ASLAM
-----------------------------------------

Sidra Aslam is a PhD student at the University of Primorska. She did her Master in Computer Science from COMSATS University, Pakistan. She followed a complementary Master in 2019 at the University of Saarland, Germany. Her research interests include information security and privacy, blockchain, and semantic web technologies.

-----------------------------------------------------------------------------------------------------------
NASLOV: Personal Information Management on Distributed Ledger Technology
-----------------------------------------------------------------------------------------------------------

POVZETEK:

In wood supply chain environments, stakeholders need full traceability of individual products, and at the same time, they need protection from disclosure of their global activity. Existing solutions rely on centralized system to manage privacy-sensitive data and suffer from single point of failure, lack of trust, and performance issues. Distributed ledger technology ensures data security, however, user-sensitive information remains publicly available, which leads to privacy issues. In our research, we explore how to protect sensitive information over distributed ledger technology while providing product traceability through the supply chain.
In this presentation, we will illustrate our research problem with a use case scenario inspired from a wood supply chain. Then, we will give a brief overview of the state of the art, before describing open issues and discussing possible solutions that we are currently exploring.

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavanja dostopate tako, da se povežete prek sledeče povezave:

https://us02web.zoom.us/j/297328207

Vabljeni!

 


petek, 27. marec 2020 András BÓTA: Network-based framework for estimating the risk factors of epidemic spreading

V ponedeljek, 30. marca 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 30. marec 2020 ob 16.00 na daljavo

------------------------------------------
PREDAVATELJ: András BÓTA
------------------------------------------

András Bóta finished his postgraduate studies in Computer Science at the University of Szeged under the supervision of Dr. Miklós Krész and Dr. András Pluhár in 2015, then worked as a Research Associate at the University of New South Wales with Dr. Lauren Gardner for two years. Following that, he worked as a postdoctoral fellow at Umeå University. His main research interests lie in the fields of complex network analysis and artificial intelligence.

-------------------------------------------------------------------------------------------------------------------------
NASLOV: Network-based framework for estimating the risk factors of epidemic spreading
-------------------------------------------------------------------------------------------------------------------------

POVZETEK:

Network-based adaptations of traditional compartmental infection models such as SIR or SEIR can be used to model the spreading of diseases between cities, countries or other geographical regions. One of the common challenges arising in these applications is the lack of available transmission probabilities between these geographical units. The task of inverse infection is the systematic estimation of these values. Several methods have been proposed recently for solving this task. One of them is the Generalized Inverse Infection Model (GIIM) [1]. GIIM offers a large amount of modeling flexibility and allows transmission probabilities to be defined as a function of known attributes, or risk factors in an epidemic context. In this presentation we will see how GIIM works in two specific real-life outbreaks.
Both examples are embedded in a geographical and temporal setting. The first one considers the 2015-2016 Zika virus outbreak in the Americas, where the countries and overseas territories of the continent form the nodes of the network and air travel routes define the links [2]. The second application models the 2009 H1N1 outbreak between the municipalities of Sweden, with links between the municipalities indicating frequent travel routes.
Our first goal in both of these studies is to discover the relationship between the transmission risk between geographical units and a variety of travel, environmental, meteorological and socioeconomic risk factors. Our second goal is to estimate the risk of exportation and importation of the diseases for the territories involved in these studies. We will show that the GIIM model is able to identify the most critical risk factors in both scenarios, and in the influenza study, it is able make predictions about future outbreaks with good accuracy.

REFERENCE:
1. A. Bóta, L. M. Gardner: A generalized framework for the estimation of edge infection probabilities. arXiv:1706.07532 (2017)
2. L. M. Gardner, A. Bóta, N. D. Grubaugh, K. Gangavarapu, M. U. G. Kramer: Inferring the risk factors behind the geographical spread and transmission of Zika in the Americas.PLoS Neglected Tropical Diseases. http://journals.plos.org/plosntds/article?id=10.1371/journal.pntd.0006194

---------------------------------------------------------------------------------------------------

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.

Do predavanja dostopate tako, da se povežete prek sledeče povezave: https://zoom.us/j/297328207

Vabljeni! 


sobota, 14. marec 2020 Jordan Aiko DEJA: Using EEG for Emotion Experience Design in TV Commercials

V ponedeljek, 16. marca 2020, bo ob 16.00 uri prek spletnih orodij na daljavo izvedeno 
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 16. marec 2020 ob 16.00 na daljavo 

Predavanje bo potekalo v angleškem jeziku prek spletnega orodja Zoom.
Do predavalja dostopate tako, da se povežete prek sledeče povezave: https://zoom.us/j/297328207

--------------------------------------------
PREDAVATELJ: Jordan Aiko DEJA
--------------------------------------------

Jordan Aiko Deja is a UX Practitioner with an HCI and AI background. He has led several teams and projects that have been used for various digital, innovative, and even AI-empowered products and initiatives used both locally and internationally. He has done work fusing HCI and AI that are currently being used in marketing, digital production, therapy, and many others. He is currently a computer science PhD student at UP FAMNIT.

-----------------------------------------------------------------------------------------------
NASLOV: Using EEG for Emotion Experience Design in TV Commercials
-----------------------------------------------------------------------------------------------
POVZETEK: 

TV Commercials are audio video segments played by paying advertisers in between the consumers' favorite shows. They are usually aired for marketing purposes especially towards selling specific products or services. In the process of creating TV Commercials, marketers, digital agencies undergo a rigorous process to validate various elements in the said audio video production. This process is usually tedious and time consuming. This report aims to present results of preliminary study that uses Electroencephalogram (EEG) as input in helping production team verify their marketing content. Target consumers for a specific commercial product underwent one-on-one semi-structured interviews and from viewing sessions where their EEG data were collected using the 5-channel EMOTIV Insight headset. To triangulate the emotion modeling phase, external observers referred to as coders annotated their emotions with the aid of emotion recognition via facial recognition. Initial Analysis of the interviews along with the early version of the model revealed several interesting points on visual and audio elements that triggered viewer valence. The collection of EEG data was also able to uncover a few insights that aided in the design of a better viewing experience for the target consumers. We intend to expand the findings in the future work to build a model from a bigger data and user base along with a wider array of emotions to choose from. Also, we intend to employ more advanced experiment designs to determine if we can directly correlate viewer experiences into actual product and commercial conversion.

---------------------------------------------------------------------------------------------------

Vabljeni!


petek, 6. marec 2020 Aleš MAVER: Big data and the human genome

V ponedeljek, 9. marca 2020, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 9. marec 2020 ob 16.00 v FAMNIT-VP2

---------------------------------------

PREDAVATELJ: dr. Aleš MAVER

Dr. Aleš Maver has been working in the field of human genetics since 2002, and in his work he focuses on research of complex diseases, bioinformatics and diagnostics of rare genetic disorders. After graduating from medical school in 2011, he continued with his PhD work on rare genetic variations in familial multiple sclerosis using sequence analysis of the complete set of genes in the human genome (exome sequencing). Since then, he's been dealing with the use of big genomic data to diagnose patients with rare diseases. To that end, in 2013, he participated in the establishment of the Centre for Mendelian Genomics, which now functions as a center that offers state-of-the-art technology and bioinformatics to diagnose genetic diseases and is involved in global genome-wide sequencing data initiatives. Today his main interests include identifying new genes for genetic diseases, improving the interpretation of genetic variants at the genomic level and improving the exchange of genomic data in Slovenia and Europe.

---------------------------------------

NASLOV: Big data and the human genome

---------------------------------------

POVZETEK:

New genomic technologies have, in the recent years, provided unimaginable opportunities for human genome investigations, and thus significant advances in disease diagnosis and the discovery of new genes and disease mechanisms. With new approaches, especially through next-generation sequencing, sequencing of the entire human genome has become significantly cheaper, faster and more accessible. At the same time, we require novel bioinformatic approaches and significantly greater computational capacity to process the large amounts of data generated using novel genetic technologies. In my talk, I would like to present how we are facing the new challenges of big data in the time of genomic medicine, how we use big data of genomic sequencing in the discovery of new genes for human hereditary diseases, and how the analysis of such data has become the basis of modern genetic diagnostics in Slovenia today.

---------------------------------------

Predavanje bo potekalo v angleškem jeziku.

Vabljeni!


petek, 28. februar 2020 Julie DUCASSE: Interactive web documentary: audience reception and user engagement. A case study: iOtok.

V ponedeljek, 2. marca 2020, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 2. marec 2020 ob 16.00 v FAMNIT-VP2

---------------------------------------

PREDAVATELJICA: Julie DUCASSE

Julie Ducasse holds a PhD in Human-Computer Interaction. She studied in France at The University of Toulouse. Since September 2018, she is a post-doctoral researcher at UP FAMNIT and works for the HICUP Lab.

---------------------------------------

NASLOV: Interactive web documentary: audience reception and user engagement. A case study: iOtok.

---------------------------------------

POVZETEK:

iOtok is an interactive web documentary directed by Miha Čelar, a Slovene documentary filmmaker. The documentary was distributed over 13 weeks in Slovenia and Croatia. Data were collected to better understand how people interacted and engaged with the documentary: Was interactivity efficient in engaging users? Were the social media successful in promoting the web-doc? In this seminar, we will present the key findings of the analysis of 20 000 sessions in terms of audience reception and user engagement.

---------------------------------------

Predavanje bo potekalo v angleškem jeziku.

Vabljeni!


petek, 21. februar 2020 Peter ROGELJ: Parenchima: Magnetic resonance imaging biomarkers for chronic kidney disease

V ponedeljek, 24. februarja 2020, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 24. februar 2020 ob 16.00 v FAMNIT-VP2

---------------------------------------

PREDAVATELJ: Peter ROGELJ

Peter Rogelj is an assistant professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. His research includes medical image processing with a special interest in medical image registration. His goal here is to achieve the speed and accuracy of image processing algorithms that are required for use in medical practice. The most important strategies for achieving this goal are the application of prior knowledge, the use of artificial intelligence and the rigorous evaluation of algorithms.

---------------------------------------

NASLOV: Parenchima: Magnetic resonance imaging biomarkers for chronic kidney disease

---------------------------------------

POVZETEK:

In this seminar, we will present the COST action Parenchima and the activities related to the forthcoming meeting of its workgroup 2(WG2) that will take place in Koper on 3-4 March. The WG2 focuses on establishing a database of renal magnetic resonance imaging (MRI) data and on software algorithms for data processing. First, we will present a data storage solution provided by Quibim and problems that needed to be solved to enable the population of the database. Second, the software evaluation initiative will be presented focusing on the evaluation of renal dynamic MRI registration algorithms. Further information about the Parenchima action can be found on its homepage: https://renalmri.org/.

---------------------------------------

Predavanje bo potekalo v angleškem jeziku.

Vabljeni!


sobota, 15. februar 2020 Domen ŠOBERL: Decentralized computation of homology in wireless sensor networks using spanning trees

V ponedeljek, 17. februarja 2020, bo ob 16.00  v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 17. februar 2020 ob 16.00 v FAMNIT-VP2

-----------------------------------------------

PREDAVATELJ: Domen ŠOBERL

Domen Šoberl is a teaching assistant at UP FAMNIT and is currently finishing his PhD thesis at the Faculty of Computer and Information Science in Ljubljana. Research interests: artificial intelligence, agent learning and planning, computational topology.

-------------------------------------------------------------------------------------------------------------

NASLOV: Decentralized computation of homology in wireless sensor networks using spanning trees

POVZETEK:

Wireless Sensor Networks (WSN) are computer networks of small inexpensive sensor nodes with a limited computational power and often without positioning capabilities. They are deployed over an area of interest to perform some measuring tasks and communicate the results. When deployed arbitrarily, the information on signal coverage is crucial to asses the quality of deployment. A homological criteria has been proposed to guarantee a full coverage using only the connectivity data.
In this seminar I will present our decentralized algorithm to verify homology-based WSN coverage criteria. Individual nodes examine the homology of their immediate neighborhood. They organize themselves in a spanning tree formation and merge their local information up the tree. During the process, a simplicial complex known as Vietoris-Rips complex is constructed, which encodes certain information on the shape of the WSN coverage. The algorithm works in arbitrary network topology and its communication demands are suitable for low-bandwidth wireless sensor networks.

Predavanje bo potekalo v angleškem jeziku.

Vabljeni!


petek, 31. januar 2020 Maheshya WEERASINGHE: Investigating the impact of different techniques towards project users themselves in a new environment using their cognitive, emotional and actionable responses

V ponedeljek, 3. februarja 2020, bo ob 16.00 uri v prostorih UP FAMNIT (Glagoljaška 8, Koper)
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE 
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 3. februar 2020 ob 16.00 v FAMNIT-VP2 

-------------------------------------------------------
PREDAVATELJ: Maheshya WEERASINGHE

Maheshya Weerasinghe, Second-year Computer Science PhD student, FAMNIT University of Primorska and University of St. Andrews, UK. Research interests: Human-Computer Interaction, Extended Realities, Learning, and Knowledge Retention.

-------------------------------------------------------
NASLOV: Investigating the impact of different techniques towards project users themselves in a new environment using their cognitive, emotional and actionable responses
-------------------------------------------------------
POVZETEK: 

This study is mainly focused on investigating how the different techniques which architects would use to convey their ideas of architectural designs (new building) enable future occupants/users to project themselves in their new building.
To do that, we compare three different presentation techniques:
- Floor plans (paper-based) with 3D rendered still images of the building
- Standard desktop/mouse setup showing the 3D designed environment of the building
- HMD display showing the immersive virtual environment of the building
The reason behind this evaluation is to compare current practices/conventional method (Floor plans with 3D rendered still images) vs methods that could be widespread in the near future (Desktop and HMD). These innovative techniques may have some benefits, notably by triggering a higher sense of presence. But we need to be sure that they enable future occupants/users to understand their new building and that they also enable them to project themselves in their new space.

-------------------------------------------------------
Predavanje bo potekalo v angleškem jeziku.

Vabljeni!


četrtek, 12. december 2019 Marko TKALČIČ: Behavioural and Cognitive Modeling in Recommender Systems

V ponedeljek, 16. decembra 2019, bo ob 16.00  v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 16. december 2019 ob 16.00 v FAMNIT-VP2

-----------------------------------------------

PREDAVATELJ: Marko TKALČIČ

Marko Tkalčič is associate professor at the Faculty of Mathematics, Natural Sciences and Information Technologies (FAMNIT) at the University of Primorska in Koper, Slovenia. He aims at improving personalized services (e.g. recommender systems) through the usage of psychological models in personalization algorithms. To achieve this, he uses diverse research methodologies, including data mining, machine learning, and user studies.

-------------------------------------------------------------------------------------------------------------

NASLOV: Behavioural and Cognitive Modeling in Recommender Systems

POVZETEK:

Recommender systems are systems that help users in decision making situations where there is an abundance of choices. We can find them in our everyday lives, for example in online shops. State-of-the-art research  in recommender systems has shown the benefits of behavioural modeling. Behavioural modeling means that we use past ratings, purchases, clicks etc. to model the user preferences. However, behavioural modeling is not able to capture certain aspects of the user preferences. In this talk I will show how the usage of complementary research in cognitive models, such as personality and emotions, can benefit recommender systems.

Predavanje bo potekalo v angleškem jeziku.


petek, 29. november 2019 Raffaele DE AMICIS: Human Centric Immersive Environments.Challenges and perspectives.

V ponedeljek, 2. decembra 2019, bo ob 16.00 v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 2. december 2019 ob 16.00 v FAMNIT-VP2

-----------------------------------------------
PREDAVATELJ: Raffaele DE AMICIS

Raffaele De Amicis is an Associate Professor, at the School of Electrical Engineering & Computer Science at Oregon State University. He received his Ph.D. in Design and Methods of Industrial Engineering at the Faculty of Engineering, University of Bologna, Italy. From 1999 to 2003, he was a research fellow at the Fraunhofer Institute for Computer Graphics in Darmstadt, Germany and senior researcher at the at the Technical University of Darmstadt. Before arriving at Oregon State University, he was the Managing Director of GraphiTech, Center for Advanced Computer Graphics Technologies in Trento, Italy, where he was recognized for leadership in science, technology, and innovation. Dr. De Amicis’ research focuses on the possibilities provided by Mixed Reality technologies in the area of design, creativity, and analytics. He has managed and delivered complex research projects, applied immature technologies, and mitigate associated risks. He has been the PI of several multidisciplinary projects contracted or funded by the European Commission, the North Atlantic Treaty Organization, governmental agencies and industry with an overall budget of 47 million Euros. As Vice-President of the Board of Directors at GraphicsMedia.net, Dr. De Amicis has developed strong competencies in how to build and manage successful multinational organizations. In this context, he has established strong linkages to diverse Academic and Research Institutes, both at the national and international level. During his career, he has developed strong academic outreach and collaborations with leading universities, industry, and community partners.

-------------------------------------------------------------------------------------------------------------
NASLOV: Human Centric Immersive Environments. Challenges and perspectives.

POVZETEK:

Over the last few years, disciplines such as Virtual & Augmented Reality, Computer Aided Design, and Human Factors, have undergone a profound evolution essentially driven by ever-increasing computational power and by availability of new hardware and software technologies.  Arbitrary shaped non‐flat displays, portable augmented reality glasses, micro-projection units, portable marker-less gesture tracking systems, increasingly accurate biometric sensors, and brain-machine interfaces are becoming commodities. Previously, these technologies, were only available in “Big” research labs, but are now entering the mainstream market causing a profound paradigm shift for the general public level. This means not only adapting old interaction schemas but it will call for the development of brand new interaction mechanisms that can account for complex technological ecosystem issues.
In his talk, Dr. De Amicis will present his research on how users perceive, understand, and interact with real and digital objects during an immersive experience. First, he will discuss some of the results achieved concerning the design of a multimodal experience combining sketches, gestures, and speech, to accomplish design tasks in different contexts, ranging from lightweight near-to-the-eye displays, to large-scale displays and immersive environments. He will also present his research on the design of geo-intelligent complex visualization systems and products and related services, addressing aspects such as interactive spatial data infrastructure, context awareness, and highly dynamic interaction. The second part of his talk will be devoted, to describing his current and future research plan on how Mixed Reality, allows the interaction with hybrid space with varying degrees of interaction allowing the user to enter a highly effective information environment which heightens data awareness and understanding.

Predavanje bo v angleškem jeziku.


petek, 22. november 2019 Nevena PIVAČ: On the Graph Search Trees

V ponedeljek, 25. novembra 2019, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS in PROSTOR:  25. november 2019 ob 16.00 v FAMNIT-VP2

---------------------------------------------
PREDAVATELJICA: Nevena PIVAČ
---------------------------------------------

Nevena Pivač is a student of two study programs: MSc in Computer Science and PhD in Mathematics, at UP FAMNIT. She is doing PhD under the supervision of full professor Martin Milanič and is employed as a young researcher at Institute Andrej Marušič. Her research topics include structural and algorithmic graph theory, combinatorial optimization, and mathematical modeling using integer linear programing.

--------------------------------------------------
NASLOV: On the Graph Search Trees
--------------------------------------------------

POVZETEK:

Graph searches and the corresponding search trees can exhibit important structural properties and are used in various graph algorithms. We present various graph search algorithms, such as breadth first search (BFS), depth first search (DFS), their lexicographic versions (LBFS, LDFS), maximal neighborhood search (MNS) and maximum cardinality search (MCS). The problem of deciding whether a given spanning tree of a graph is a search tree of a particular search on this graph was introduced by Hagerup and Nowak in 1985, and independently by Korach and Ostfeld in 1989 where the authors showed that this problem is efficiently solvable for DFS trees. We show that the search tree problem is polynomial-time solvable for LDFS, in contrast to LBFS, MCS, and MNS, where we show the NP-completeness.
Joint work with Jesse Beisegel, Carolin Denkert, Ekkehard Kohler, Matjaž Krnc, Robert Scheffler, and Martin Strehler.

Predavanje bo potekalo v angleškem jeziku.


petek, 15. november 2019 Vlado STANKOVSKI: Fog Computing for Smart Services and Applications

V ponedeljek, 18. novembra 2019, bo ob 16. uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS in PROSTOR: 18. november 2019 ob 16.00 v FAMNIT-VP2

--------------------------------------------------------------------------------------------------
PREDAVATELJ: Vlado STANKOVSKI

Vlado Stankovski, PhD, is associate professor at the University of Ljubljana. He has over 15 years experience with Grid and Cloud Computing, Distributed Systems, Semantics, Software Engineering, Machine Learning, and Data Mining technologies. His current interests are in Blockchain applications in these domains. He began his career in 1995 as Consultant and later as Project Manager with the Fujitsu-ICL Corporation in Prague. From 1999-2003 he worked as a researcher at the University Medical Centre in Ljubljana. From 2003 he is employed at UL. Dr. Stankovski has experience in software integration, and has worked with various middleware technologies in the course of the past 10+ years. He has been involved in various EU projects including the FP6 DataMiningGrid project (2004-2006), InteliGrid (2004-2007), FP7 mOSAIC (2011-2013), H2020 SWITCH (2015-2018), H2020 ENTICE (2015-2018) and currently the DECENTER (2019-2021) project. At the moment, he also contributes to the Software Engineering cluster of Horizon 2020 projects.

-----------------------------------------------------------------------------------------------
NASLOV: Fog Computing for Smart Services and Applications

The quadrumvirate technologies – Internet of Things (IoT), Artificial Intelligence (AI), Cloud and Blockchain are currently converging with the aim to facilitate numerous new smart services and applications. They are the substrate of Fog computing. Fog computing is an architecture that uses edge devices to carry out a substantial amount of computation, storage, communication locally and thus addresses the requirements of Big Data pipelines, which start at the Edge of the computing network and may run across multiple computing tiers up to various public or private Cloud providers. With Big Data pipelines implemented by means of Fog computing it is increasingly possible to realise dependable smart environments. As its application potential is vast, the industrial interest is immense. The DECENTER (https://www.decenter-project.eu/) EU-Korean project currently develops a new Fog Computing platform that will support various smart applications. The talk will focus on the use cases, design and architecture of DECENTER.

Predavanje bo v angleškem jeziku.


četrtek, 7. november 2019 Jan VČELÁK: Wireless communication technologies for IoT

V ponedeljek, 11. novembra 2019, bo ob 16. uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS in PROSTOR: 11. november 2019 ob 16.00 v FAMNIT-VP2

-------------------------------------------------------------------------------------------------------
PREDAVATELJ: Jan VČELÁK

Jan Včelák, Ing., PhD,  in period 2014–2019 department head in CTU – University Centre for Energy Efficient Buildings, department for monitoring and intelligent control. He is a lecturer in CTU – subjects Data Acquisition and Transfer BE3M38SPD. His expertise is mainly in sensor networks design including IoT and WSN, sensor design for special purposes, and complex sensor systems covering data acquisition, transmission, processing and presentation. As a postdoc researcher, he was a team leader in microsystems group in Tyndall NI (Cork, Ireland).
His tasks at CTU are mainly in coordination of R&D activities and project management. He is a coordinator of several research projects in the field of IoT sensor design, renewable energy sources, energy storage as well as microgrid design. He is author of several impacted publications, patents and utility models in Czech Republic as well as in USA. In the field of SmartCity his focus is in micro grids, renewable energy sources usage and electromobility integration in buildings energy systems.

-------------------------------------------------------------------------------------------------------
NASLOV: Wireless communication technologies for IoT

The three most used IoT LPWANs will be introduced in the presentation – UNB Sigfox, LoRaWAN, NB-IoT together with their properties, limitations and features. LoRaWAN wireless network will be shown in detail. Tools and SW platforms to build own LoRaWAN infrastructure will be shown together with HW implementation on sensor side and administration of devices and gateways.

------------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


ponedeljek, 4. november 2019 Jože Rožanec: Predstavitev štipendij ASEF za raziskovanje v tujini

V ponedeljek, 4. novembra 2019, bo ob 16. uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS in PROSTOR: 4. november 2019 ob 16.00 v FAMNIT-VP2

---------------------------------------------------------------------------------------------------------
PREDAVATELJ: Jože ROŽANEC

Jože Rožanec je diplomirani inženir na področju računalništva. V teku svoje kariere je pridobil izkušnje v raznih mednarodnih podjetjih. Leta 2016 je opravil raziskovalni obisk na Univerzi UC Berkeley v okviru štipendij ASEF, da je nadgradil znanje na področju umetne inteligence. Sedaj opravlja doktorat na Mednarodni podiplomski šoli Jožefa Stefana na področju strojnega učenja.

-------------------------------------------------------------------------------------------------------
NASLOV: Predstavitev štipendij ASEF za raziskovanje v tujini

ASEF (American Slovenian Education Foundation) je neprofitna izobraževalna organizacija, ki vsako leto podeli štipendije slovenskim študentom, da opravijo 10 tedenski raziskovalni obisk na najboljših univerzah v ZDA in po svetu. Predstavili bomo organizacijo, štipendije, kako se uspešno prijaviti, ter odgovorili na potrebna vprašanja.

Predavanje bo tokrat v slovenskem jeziku.


petek, 18. oktober 2019 David Kodarin: Entrepreneurial experience in starting a green/eco business

V ponedeljek, 21. oktobra 2019, bo ob 16.00 v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 21. oktober 2019 ob 16.00 v FAMNIT-VP2

------------------------------------------------------------------------------------------------------
PREDAVATELJ: David Kodarin

David Kodarin, a university graduate in civil engineering, who has many years of experience working abroad. He decided to start his entrepreneurial career back in Slovenia. David is the co-founder of KAKIS (www.kakis.eu), which offers sustainable outdoor toilets. In his spare time, he co-creates other sustainable products, such as the houzEKO's sustainable tiny house on wheels (www.houzeko.com) and the Foodular automated modular greenhouses (www.foodular.eu). He also serves as president of the Association Pritisk, which deals with sustainable tourism and sports recreation.

-----------------------------------------------------------------------------------------------------
NASLOV: Entrepreneurial experience in starting a green/eco business

I will describe my beginnings, why I chose this path, why I've started a green starup and how I came up with the idea of ecological dry toilets. I will further explain how to start a company, what can happen in an entrepreneurial way, how to get finances, etc. Finally, I will describe where I coworkers with different students for research and development. I used varied programs as the company has already used Demola, Erasmus Student Practices and PKP. I will present with simple words how to develop environmentally friendly products with sustainable value. Students will learn how to start a low risk startup with their idea, and how to bring that idea to market.

-----------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


petek, 11. oktober 2019 The Journey to Mars: The risks of long-duration human space exploration, and how we are overcoming them

V ponedeljek, 14. oktobra 2019, bo ob 16. uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper)
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 14. oktober 2019 ob 16.00 v FAMNIT-VP2

-----------------------------------------------------------------------------------------------------------------------------------
PREDAVATELJICA: Kim BINSTED

Kim Binsted received her BSc in Physics at McGill (1991), and her PhD in Artificial Intelligence from the University of Edinburgh (1996). Her thesis topic was the computational modeling and generation of punning riddles, and her program, JAPE (Joke Analysis and Production Engine), generated puns such as "What do you call a Martian who drinks beer? An ale-ien!" She then went to Japan, where she conducted research at Sony's Computer Science Laboratories on human-computer interfaces, and then started a company, I-Chara KK, which developed social software agents for mobile phones. In 2002, she joined the faculty of the Information and Computer Sciences Department at the University of Hawaii, where she does research on artificial intelligence, human-computer interfaces, and long-duration human space exploration. In 2015, she received a MS in Planetary Geology, for attempting to characterize the deuterium-hydrogen ratio in the primitive Earth mantle.
Kim is a co-investigator at the UH-NASA Astrobiology Institute, which formed in late 2003. She was a NASA Summer Faculty Fellow at Ames Research Center in 2003 and 2004, where she worked on sub-vocal speech recognition technology in the Neuroengineering Lab. She was Chief Scientist on the FMARS 2007 Long Duration Mission, a four-month Mars exploration analogue on Devon Island in the Canadian High Arctic. In 2009, she spent her sabbatical as a visiting scientist at the Canadian Space Agency (CSA), working on the CSA's planetary analogues program. She spent the summers of 2016 and 2017 in Russia on a Fulbright Award. She is now the principal investigator for the NASA-funded HI-SEAS (Hawaii Space Exploration Analog and Simulation) program, which conducts long-duration space exploration simulations at an isolated habitat on Mauna Loa. She is currently serving as an AAAS Science and Technology Policy Fellow in Senator Whitehouse's office in Washington, DC.

-------------------------------------------------------------------------------------------------------------------------------
NASLOV: The Journey to Mars: The risks of long-duration human space exploration, and how we are overcoming them

Long space journeys, such as the trip to Mars, pose unique risks to the human body and mind. I will describe efforts by myself and others to mitigate those risks and enable long-duration human space exploration. In particular, I will discuss research conducted at HI-SEAS (Hawaii Space Exploration Analog and Simulation, hi-seas.org).

-------------------------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


četrtek, 12. september 2019 Tokrat dve predavanji: "Cognitive Load Inference for Ubiquitous Computing Adaptation" in "Determining sentiment of tweets using lexicon and (AnA)-affirmative and non-affirmative words"

V ponedeljek, 16. septembra 2019, se bosta v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM zvrstili dve predavanji.

--------------------------------------------------------------------------------------------------------------------------

ČAS/PROSTOR: 16. september 2019 ob 16.00 v FAMNIT-VP2

PREDAVATELJ: Veljko PEJOVIĆ

Veljko Pejović is an assistant professor of computer science at the University of Ljubljana, Slovenia. His interests include mobile computing, HCI, resource-efficient computing, and the interaction of technology and society. His work on modelling user movement and communication behaviour from mobile call records won the 2013 Orange D4D Challenge, while his work on interruptibility modelling resulted in the best paper nomination at the ACM UbiComp'14 conference.

NASLOV: Cognitive Load Inference for Ubiquitous Computing Adaptation

From not disturbing a focused programmer, to entertaining a restless commuter waiting for a train, personal ubiquitous computing devices could greatly enhance their interaction with humans, should they only be aware of the user’s cognitive load. While mobile sensing and machine learning lead to impressive advances in the inference of human movement, physical activity, routines, and other behavioural aspects, inferring cognitive load remains challenging due to a subtle manifestation of a user's mental engagement via vital signal reactions. These signals are often captured with obtrusive, expensive, purpose-built equipment, preventing seamless cognitive load inference for human - ubiquitous computing interaction adaptation. In our work we aim to enable large-scale unobtrusive cognitive load inference. In the talk I will present our experiences from different user studies in which we built and evaluated cognitive load inference models relying on data coming from a commodity smart phone, a wearable sensing device, and a software-defined-radio-based wireless radar. Finally, I will present our guidelines for future efforts in cognitive load inference and argue for closer interdisciplinary collaboration in this exciting research domain.

------------------------------------------------------------------------------------------------------------------------------

ČAS/PROSTOR: 16. september 2019 ob 17.00 v FAMNIT-VP2

PREDAVATELJ: Sead JAHIĆ

Sead Jahić studied mathematics in Tuzla, and graduated in 2012. From 2012 to 2016 he was teaching assistant at the University of Tuzla in the field of Applied Mathematics and Computer Science. In the past academic year (2018/2019) he was teaching assistant at UP FAMNIT, where he taught the courses Programming 1, Programming 3 and Language Technologies for 3rd year students of the bachelor program. He is also a PhD student in Computer Science on the same University and his research is in the fields of Sentiment Analysis and Natural Language Processing (NLP).

NASLOV: Determining sentiment of tweets using lexicon and (AnA)-affirmative and non-affirmative words

On the seminar a simple model for sentiment tagging of Tweeter messages based on AnA (affirmative and non-affirmative) words and tagged sentiment dictionary (Kadunc-Šikonja dictionary) will be presented. A lexicon was used in combination with intensifiers, where an intensifier (AnA word), that stands next to a word, produces more powerful (more positive or more negative) sentiment values for that word - tweet at all.

 

Obe predavanji bosta v angleškem jeziku.


četrtek, 29. avgust 2019 How overall coverage of an association rule learning classifier affects its accuracy?

V ponedeljek, 2. septembra 2019, bo ob 16. uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper)
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 2. september 2019 ob 16.00 v FAMNIT-VP2

-------------------------------------------------------------------------------------------------------------------
PREDAVATELJ: Jamolbek MATTIEV

Jamolbek Mattiev has a master degree in computer systems and software from the National  University of Uzbekistan. He is currently finishing the second year of the PhD program Computer Science at UP FAMNIT and is employed as teaching assistant on the BSc Computer Science program at UP FAMNIT. He is doing his research in the fields of Data Mining and Machine Learning.

--------------------------------------------------------------------------------------------------------------------
NASLOV: How overall coverage of an association rule learning classifier affects its accuracy?

Classification and association rule are two important technologies in data mining. Researchers have recently proposed several classification techniques based on the concept of association rules (also known as CBA-based methods). Experimental results show that in average the CBA-based approaches could achieve higher accuracy than some of traditional classification methods. Associative classification (AC) is a data mining approach that combines classification and association rule to build classification models (classifiers).
In this seminar, we will present associative classification, where class association rules are generated and analyzed to build a simple, compact, understandable and relatively accurate classifier. Furthermore, we find the overall coverage and average rule coverage of the classifier that affects its the accuracy. We compare the accuracies our method that uses constrained exhaustive search with that of some “classical” classification rule learning algorithms that use greedy heuristic search on some “real-life” datasets. We have performed experiments on 11 datasets from UCI Machine Learning Database Repository. Overall coverage shows the power of the classifier. Experimental evaluations show that our proposed method outperforms Naive Bayes and C4.5 on average accuracy.

-------------------------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


ponedeljek, 1. julij 2019 Learning causal patterns in people mobility behaviour

Danes, v ponedeljek, 1. julija 2019, bo ob 16. uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper)
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE
Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 1. julij 2019 ob 16.00 v FAMNIT-VP1

----------------------------------------------------------------------------------------------
PREDAVATELJ: Branko KAVŠEK

Branko Kavšek has a PhD in Computer Science from the University of Ljubljana. He is an assistant professor at the University of Primorska, Faculty of Mathematics, Natural Sciences and Information Technologies, a researcher at the Department of Information Sciences and Technologies and member of the Artificial Intelligence Laboratory at the Jozef Stefan Institute in Ljubljana. His research fields include Artificial Intelligence, Data Mining, Machine Learning. In particular, the subfields of Supervised and Unsupervised Learning, Frequent Pattern Discovery and Association Rule Learning, Learning Probabilistic Models and Bayesian Networks Learning, Clustering, and Data Mining applied to Big Data.

---------------------------------------------------------------------------------------------
NASLOV: Learning causal patterns in people mobility behaviour

The work done on the OPTIMUM project will be presented on this seminar. The aim of the OPTIMUM project was to implement a smart multi-modal transit concept, involving up to 500 users in the greater regions of Vienna (AUT), Birmingham (UK) and Ljubljana (SI). The integration of various real-time traffic data sources will provide the required information to realize traffic-state aware routing and guiding the travelers towards their destination. Members of the traffic receive proactive recommendations for personalized trip and re-routing based on their personal plans, traffic information and historical data, city authorities receive predicted traffic enabling to dynamically plan and respond. Various tasks towards reaching the project goal will be presented, namely "predicting users’ mobility", "transportation mode detection", "visualizing mobility patterns", and especially "identifying events and causal patterns in mobility data".

------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


petek, 21. junij 2019 Dr. Hirokazu Kato: What is the next stage of Augmented Reality

V ponedeljek, 24. junija 2019, bo ob 16. uri v prostorih Fakultete za matematiko,
naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM. Izjemoma gre za serijo dveh predavanj, drugo sledi ob 17.15.

ČAS/PROSTOR: 24. junij 2019 ob 16.00 v FAMNIT-VP2

--------------------------------------------------------------------------------------------------
PREDAVATELJ: Hirokazu KATO

Dr. Hirokazu Kato received Dr. Eng. degrees from Osaka University, Japan in 1996.
He has worked for Osaka University and Hiroshima City University and since 2007 he has been working for Nara Institute of Science and Technology.
Dr. Kato has studied about Augmented Reality for more than 15 years.
He developed a vision-based tracking library called the ARToolKit in 1999 which has had a significant impact on the growth of Augmented Reality research.
Dr. Kato received Virtual Reality Technical Achievement Award from IEEE VGTC in 2009 and Lasting Impact Award at the 11th IEEE International Symposium on Mixed and Augmented Reality in 2012.

-------------------------------------------------------------------------------------------------
NASLOV: What is the next stage of Augmented Reality

Augmented Reality (AR) has been studied for more than 20 years. Nowadays we can see a lot of AR applications such as PokemonGO. Some people think that AR technologies are almost completed and it has moved to a practical phase. But it is not true because current AR applications are not ideal style of AR. AR researchers still have to make the next breakthrough. In this talk, I would like to introduce my past works on AR and then explain my idea about what AR researchers have to do for the next breakthrough. After that I will briefly talk about my current research works which I am expecting to make the next breakthrough for AR.
---------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


četrtek, 20. junij 2019 The process of strategic planning

V ponedeljek, 24. junija 2019, bo ob 17.15  v prostorih Fakultete za matematiko,

naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper)

predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE

Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

 

ČAS/PROSTOR: 24. junij 2019 ob 17.15 v FAMNIT-VP2

---------------------------------------------------------------------------------------------

PREDAVATELJICA: Ana Grdovič Gnip

Ana Grdović Gnip is Assistant Professor at UP FAMNIT.

Her main research interests are macroeconomics, fiscal policy and time series analysis.

----------------------------------------------------------------------------------------------

NASLOV: The process of strategic planning

This lecture is integral part of the PKP IoT Kakis project as transfer of knowledge. The lecture is about business strategic planing, focusing on SWOT and its new-fashioned counterparts: SOAR and PEST analysis. SWOT is a self-questioning analysis that helps firms to identify their strengths and weaknesses. It is also used to spot possible opportunities and potential threats from the environment and its competitors. This lecture focuses on the possibilities of improvement of the strategic management with emphasis on most common mistakes. Moreover, modern trends in strategic planning promote that SWOT should go hand in hand with SOAR and PEST analysis. SOAR is a strategic planning framework that helps firms focus on current strengths and opportunities and create a vision for future aspirations. On the other hand, PEST is an analytical framework for understanding external factors that influence a firm's business.

---------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


torek, 18. junij 2019 Tokrat tudi v četrtek: Linear algebra, network science and optimization (LANSO) activities

V četrtek, 20. junija 2019, bo ob 14. uri v prostorih Fakultete za matematiko,
naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper)
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 20. junij 2019 ob 14.00 v FAMNIT-MP1

------------------------------------------------------------------------------------------------------
PREDAVATELJA: András LONDON in Tamás VINKÓ

András London is assistant professor at the Department of Computational Optimization at the University of Szeged. His main research interests are graph based algorithms and their applications, complex networks (including economic, ecological, transportation networks and artificial network models of complex systems) and probabilistic methods in graph theory.

Tamás Vinkó is associate professor at the Department of Computational Optimization at the University of Szeged. His research interests are linear and nonlinear optimization and their aspects in network science.

-------------------------------------------------------------------------------------------------------
NASLOV: Linear algebra, network science and optimization (LANSO) activities

POVZETEK:

Linear algebra, network science and optimization (LANSO) are strongly related fields of research. The fact that they intersect provides us with the convenience to formalize problems in one of them using the language of the others. Instead of diving into one particular topic we plan to give an overview of the scientific work done in our group. Hence, we will discuss some research questions related to community detection, influence maximization, stability of centrality measures and their applications on e.g. financial networks.
-------------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


petek, 14. junij 2019 A Blockchain Based Edge Computing Architecture for the Internet of Things

V ponedeljek, 17. junija 2019, bo ob 16. uri v prostorih Fakultete za matematiko,
naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper)
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 17. junij 2019 ob 16.00 v FAMNIT-VP2

-----------------------------------------------------------------------------------------------------------
PREDAVATELJ: Aleksandar TOŠIĆ

Aleksandar Tošić is a PhD candidate and teaching assistant at UP FAMNIT. His research topics are distributed systems, distributed ledger technologies and their applications in the Internet of Things.

------------------------------------------------------------------------------------------------------------
NASLOV: A Blockchain Based Edge Computing Architecture for the Internet of Things

Edge computing has been gaining momentum in the context of the Internet of Things due to its advantages such as low bandwidth utilization, responsiveness, scalability and privacy preservation. However, typical edge computing approaches still rely on centralized solutions like Kubernetes to orchestrate application execution. This design choice introduces a single point of failure that makes the network vulnerable and introduces other limitations.
On this seminar, the presenter will describe some experiments to evaluate the performance of a decentralized consensus-based algorithm combined with a shared data structure over a distributed network of sensors deployed in a cultural heritage building.
The proposed implementation shows that the architecture, albeit simplified, is feasible. This indicates research directions towards designing better migration algorithms, optimizing shared data synchronization, privacy preservation, and ultimately solving data locality problems.
---------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


ponedeljek, 10. junij 2019 Preučevanje najboljših Blockchain tehnologij na področju igralskih platform

V ponedeljek, 10. junija 2019, bo ob 16.00 v prostorih Fakultete za matematiko,
naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper)
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 10. junij 2019 ob 16.00 v FAMNIT-Muzejski3

--------------------------------------------------------------------------------------------------------
PREDAVATELJ: Gašper MODERC

Gašper Moderc je študent magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT in bo na seminarju predstavil svoje delo v okviru predmeta Raziskovalni seminar.

----------------------------------------------------------------------------------------------------------
NASLOV: Preučevanje najboljših Blockchain tehnologij na področju igralskih platform
----------------------------------------------------------------------------------------------------------

POVZETEK:

Na seminarju bodo predstavljene osnove tehnologije Blockchain (veriženje blokov) in osnove igralnih pogonov. Nato bodo prikazane različne tehnologije Blockchain-a, ki so specializirane na področju računalniških iger. Te tehnologije so Enjin, WAX, Decentraland, Loom Network in FunFair. Predstavljena bo tudi analiza teh tehnologij za ustreznost uporabe v bodoči magistrski nalogi - torej po posebej postavljenih standardih.
---------------------------------------------------------------------------------------------------------

Predavanje bo v slovenskem jeziku.


ponedeljek, 3. junij 2019 Tokrat dve predavanji: Proizvodni informacijski sistemi z vidika pretoka podatkov in SCADA sistemi -- implementacija in možnosti uporabe

V ponedeljek, 3. junija 2019, bo ob 16.00 v prostorih Fakultete za matematiko,
naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper)
predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS/PROSTOR: 3. junij 2019 ob 16.00 v učilnici FAMNIT-Muzejski3

Tokrat bosta izjemoma 2 predavanji.

NASLOV 1. PREDAVANJA: Proizvodni informacijski sistemi z vidika pretoka podatkov

PREDAVATELJ: Jan BRATINA

Jan Bratina je študent magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT in bo na seminarju predstavil svoje delo v okviru predmeta Raziskovalni seminar.

POVZETEK

V trenutnem razvoju industrije igrajo veliko vlogo prav proizvodni informacijski sistemi. Namen tega članka je predstavitev proizvodnih informacijskih sistemov in razumevanje njihovih vlog. Predvsem je pomembno razumevanje pretoka podatkov med sistemi, zato je predstavljena tudi implementacija SCADA sistema na določeno proizvodno linijo. Pri predstavitvi te implementacije največ pozornosti posvetimo prav pretoku informacij med PLC krmilniki ter SCADA sistemom in kasnejšemu prenosu teh informacij na višji nivo, kjer jih obdela MES sistem. Ampak SCADA sistem ne obsega samo komunikacije s PLC krmilniki, zato so predstavljene tudi funkcionalne in nefunkcionalne zahteve za implementacijo SCADA sistema. Nato bo predstavljen še uporabniški vmesnik in natančen potek komunikacije SCADA sistema s PLC krmilnikom.

-------------------------------------------------------------------------------------------------------------------------

NASLOV 2. PREDAVANJA: SCADA sistemi -- implementacija in možnosti uporabe

PREDAVATELJ: Anej MARUŠIČ

Anej Marušič je študent magistrskega študijskega programa Računalništvo in informatika na UP FAMNIT in bo na seminarju predstavil svoje delo v okviru predmeta Raziskovalni seminar.

POVZETEK

Namen seminarja je podrobneje spoznati SCADA sistem. To smo naredili najprej z navedbo in kratko raziskavo, zakaj pride do potreb za uporabo SCADA sistema. V pregledu področja smo se nato posvetili nekaterim možnostim za implementacijo takega sistema ter ugotavljali njihove prednosti in slabosti. Naposled smo izbrali eno od možnosti, s katero smo SCADA sistem implementirali. Implementacija SCADA sistema s pomočjo programskega orodja Ignition nam omogoči globlje razumevanje SCADA sistemov in njihove izgradnje, prav tako pa tudi izgradnje sistema na splošno in integracije sistema v okolje v podjetju.

--------------------------------------------------------------------------------------------------------------------

Obe predavanji bosta v slovenskem jeziku.


torek, 28. maj 2019 Immersive Virtual Reality Experiences

Tokrat izjemoma v četrtek, 30. maja 2019, bo ob 10.30 v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem (Glagoljaška 8, Koper) predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČAS in PROSTOR: četrtek, 30. maj 2019 ob 10.30 v FAMNIT-MP4

---------------------------------------------------------------------------------------------------------------

PREDAVATELJICA: Maheshya WEERASINGHE

Maheshya Weerasinghe, First-year Computer Science PhD student, FAMNIT, University of Primorska and University of St. Andrews, UK. Research interests: Human-Computer Interaction, Learning, and Knowledge Retention.

-----------------------------------------------------------------------------------------------------------------

NASLOV: Immersive Virtual Reality Experiences

The first step in immersive VR research is creating a virtual world. VR environment design and functionality varies a lot depending on the project type and what we want to achieve. If we're planning a browsing study looking at visual strategies, it would be sufficient to create 360-degree content with the stimuli. If we want to learn how users interact with the stimuli and navigate within the scenario, then 3D environments are more suitable. They allow more flexibility and control over the environment, which enables to create any type of situation and alternatives. At the same time, novel technologies such as eye tracking can be incorporated with VR environments to achieve several additional goals. Eye tracking in VR reveals what is behind an individual's subconscious reactions and behaviors when interacting with objects and environments, all while leveraging the full control and flexibility of virtual worlds. When working with eye tracking in VR, we are able to leverage the benefits of both technologies. VR allows us to create any type of simulated environment, where visual stimuli and scenarios can be quickly switched or easily repeated, while eye tracking gives you insights into where the participant's visual attention is at each moment of the experience and what visual elements trigger certain responses and behaviors. Eye tracking can also enhance VR experiences. By enabling more natural interactions through gaze, eye tracking contributes to more immersive and user-friendly experiences in VR.

------------------------------------------------------------------------------------------------------------------

Predavanje bo v angleškem jeziku.


petek, 24. maj 2019 Zakaj je delodajalec Actual I.T. d.d. prava izbira za vas?

V ponedeljek, 27. maja 2019, bo ob 16.00 uri v prostorih UP FAMNIT, GlagoljaŠka 8, Koper, predavanje v okviru PONEDELJKOVEGA SEMINARJA RAÄŒUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

ČŒAS/PROSTOR: 27. maj 2019 ob 16.00 v FAMNIT-VP2

------------------------------------------------------------------------------------------------------------------------------------------
GOVORCI: mag. Magda Šturman, mag. Boštjan Petelin, Denis Pucer in Patrik Širol (iz podjetja Actual I.T. d.d.)
------------------------------------------------------------------------------------------------------------------------------------------
Mag. Magda Šturman, vodja OE Kadri, pravne in splošne zadeve v Actualu I.T. d.d.
Magistrirala je na Fakulteti za družbene vede iz smeri Managementa kadrov in delovnih razmerjih. Ima bogate delovne izkušnje na kadrovskem področju, pa tudi kot predavateljica.

Mag. Boštjan Petelin, BU direktor Transport&Logistic v Actualu I.T. d.d.
Magistriral je na Ekonomski fakulteti v Ljubljani. Ima bogate delovne izkušnje na področju prodaje, projektnega vodenja in poslovne informatike.

Denis Pucer, vodja razvoja Oil&Gas v Actualu I.T. d.d.
Diplomiral je na Fakulteti za računalništvo in informatiko v Ljubljani. Ima bogate delovne izkušnje pri razvoju programske opreme in je preizkusil vse vloge, ki obstajajo pri razvoju programske opreme.

Patrik Širol, programerski inženir v Actualu I.T. d.d.
Diplomiral na FAMNIT-u. Z Actualom je pričel sodelovati že kot študent, preko štipendijskega sklada, nato se je v podjetju zaposlil in v kratkem času iz programerja napredoval v programerskega inženirja.

-------------------------------------------------------------------------------------
NASLOV: Zakaj je delodajalec Actual I.T. d.d. prava izbira za vas?
-------------------------------------------------------------------------------------

Predstavili vam bomo podjetje Actual I.T. d.d., ki bo letos praznovalo 25 letnico obstoja in s FAMNIT-om odlično sodleuje že vrsto let. Actual ponuja celovite informacijske rešitve, ki so podpora poslovnim procesom na posameznih področjih poslovanja. Actual je del skupine DBA Group iz Italije. Skupina Actual je prisotna na trgih Slovenije, Hrvaške, Bosne in Hercegovine, Srbije ter Italije.
Z jasnimi strateškimi usmeritvami in razvojnimi prioritetami postajamo pomemben igralec na trgih jugovzhodne Evrope, EU, Južne Amerike, Afrike in Rusije.
Na srečanju bomo kratko predstavili kdo smo, kaj delamo, kaj potrebujemo, kaj nudimo in kako je pri nas. To boste slišali iz prve roke bivšega študenta UP FAMNIT, ki je v Actualu zaposlen in pridno gradi svojo kariero.
---------------------------------------------------------------------------------------------------

Seminar bo potekal v slovenskem jeziku.

Vabljeni!

 


četrtek, 4. maj 2017 On Applying Surrogates in Evolutionary (Multi-Objective) Optimisation

V ponedeljek, 8. maja 2017, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

PLACE: FAMNIT-1-MP2 ob 16:00

----------------------------------------------------------

LECTURER: prof. Boris Naujoks

----------------------------------------------------------

TITLE: On Applying Surrogates in Evolutionary (Multi-Objective) Optimisation

----------------------------------------------------------

ABSTRACT:
The presentation will start with a short introduction to evolutionary algorithms (EA) and the concepts of Pareto-based multi-objective optimisation that are often applied in EA. The industrial applicability of EA is often said to be limited by the runtime of the algorithm, which itself is heavily depending on the time spent for single fitness function evaluations. For this scenario, the method of learning and incorporating surrogate models became a state-of-the-art during the last decade. To introduce surrogate-assisted EA, we first focus on different modelling techniques that were applied frequently. After that, we look at different techniques on how to integrate surrogates into EA and discuss typical problems arising when implementing these in real-world optimisation tasks. The talk will conclude with a discussion of open issues.

BIO:
Boris Naujoks is a professor for Applied Mathematics at TH Köln - Cologne University of Applied Sciences (CUAS). He joined CUAs after he received his PhD from Dortmund Technical University. During his time in Dortmund, in the group of Hans-Paul Schwefel, Boris worked as a research assistant in different projects and, additionally, gained industrial experience working for different SMEs. Meanwhile, he enjoys the combination of teaching mathematics as well as computer science and exploring EC and CI techniques at the Campus Gummersbach of CUAS. He focuses on multi-objective (evolutionary) optimisation, the integration of surrogates, and the (industrial) applicability of the explored methods.

Predavanje je organizirano v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM ter SYNERGY - H2020 TWINNING projekta.

Vabljeni!


četrtek, 20. april 2017 Challenges for the Web of Things : interoperability, privacy and software architectures

V ponedeljek, 24. aprila 2017, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

PLACE: FAMNIT-1-MP2 at 16:00
----------------------------------------------------------
LECTURER: Michael MRISSA, Full professor at the University of Pau, France
----------------------------------------------------------
TITLE: Challenges for the Web of Things : interoperability, privacy and software architectures
----------------------------------------------------------

ABSTRACT:
The Web of Things holds the promise of a decentralized application platform where Web languages and protocols seamlessly enable interaction within and between cyber-physical systems. However, despite ongoing progress on automating machine-to-machine communication, providing Web-based applications that combine heterogeneous connected objects remains an open problem.
In this seminar, we will give an overview of today's challenges to build the Web of Things, before presenting some contributions related to the need for interoperability and privacy.
We will introduce the ASAWoO project (http://liris.cnrs.fr/asawoo/) that provides an avatar-based software architecture for connected objects.
From these contributions, we will suggest and discuss research perspectives to build the essential link between connected objects and the Web.

ABOUT THE LECTURER:
(http://mmrissa.perso.univ-pau.fr/)
Michael Mrissa works as a full professor at the Université de Pau et des Pays de l'Adour since september 2016. He teaches at the Computer Science department of the Science and Techniques Research and Teaching Unit of Pau. He does his research at the LIUPPA laboratory, in the MOVIES team. His main interests are related to connected objects, the semantic Web, service- and resource-oriented technologies.

Vabljeni! 


četrtek, 16. marec 2017 Ubiquitous User Interfaces

2017-03-20
16:00
Famnit 1 MP 2
Aaron Quigley
Ubiquitous User Interfaces

V ponedeljek, 20. marca 2017, bo ob 16.00 uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru PONEDELJKOVEGA SEMINARJA RAČUNALNIŠTVA IN INFORMATIKE Oddelkov za Informacijske znanosti in tehnologije UP FAMNIT in UP IAM.

PROSTOR: FAMNIT-1-MP2 ob 16:00

------------------------------------------------------

PREDAVATELJ:

Professor Aaron Quigley
Chair of Human Computer Interaction
SACHI, School Of Computer Science
North Haugh, The University of St Andrews
Fife KY16 9SX, Scotland

------------------------------------------------------

NASLOV: Ubiquitous User Interfaces

POVZETEK:
Displays are all around us, on and around our body, fixed and mobile, bleeding into the very fabric of our day to day lives. Displays come in many forms such as smart watches, head-mounted displays or tablets and fixed, mobile, ambient and public displays. However, we know more about the displays connected to our devices than they know about us. Displays and the devices they are connected to are largely ignorant of the context in which they sit including knowing physiological, environmental and computational state. They don't know about the physiological differences between people, the environments they are being used in, if they are being used by one or more persons.

In this talk I review a number of aspects of displays in terms of how we can model, measure, predict and adapt how people can use displays in a myriad of settings. With modeling we seek to represent the physiological differences between people and use the models to adapt and personalize designs, user interfaces. With measurement and prediction we seek to employ various computer vision and depth sensing techniques to better understand how displays are used. And with adaptation we aim to explore subtle techniques and means to support diverging input and output fidelities of display devices. This talk draws on a number of studies from work published in UIST, CHI, MobileHCI, IUI, AVI and UMAP.

Bio:
Professor Aaron Quigley is the Chair of Human Computer Interaction in the School of Computer Science at the University of St Andrews, UK. He is visiting the University of Primorska until March 24th. Aaron is the ACM SIGCHI Vice President for Conferences (and former ACM SIGCHI Adjunct Chair for Specialised Conferences). Aaron's research interests include surface and multi-display computing, human computer interaction, pervasive and ubiquitous computing and information visualisation. He has published over 160 internationally peer-reviewed publications including edited volumes, journal papers, book chapters, conference and workshop papers and holds 3 patents. In addition he has served on over 80 program committees and has been involved in chairing roles of over 20 international conferences and workshops including UIST, ITS, CHI, Pervasive, UbiComp, Tabletop, LoCA, UM, I-HCI, BCS HCI and MobileHCI.

Vabljeni!


petek, 25. januar 2013 Seminar MARA

V ponedeljek, 28. januarja 2013, bo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na  Primorskem, Glagoljaška 8, Koper predavanje v okviru skupnega  SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za  matematiko in Oddelka za Informacijske znanosti in tehnologije UP  FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in  tehnologije UP IAM, Oddelka za matematiko in računalništvo UP PEF ter  Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT-1-RU1 ob 16:00

Predavatelj: Damir Deželjin

Povzetek:
Predavatelj, študent 2. stopnje računalništva in informatike na UP FAMNIT že dve leti sodeluje z Laboratorijem za geomagnetizem in aeronomijo Visokošolskega središča Sežana pri postavitvi prvega in edinega geomagnetnega observatorija v Sloveniji. V sklopu predmeta raziskovalni seminar bo pri tokratnem ponedeljkovem seminarju predstavil: Vpliv neviht na geomagnetne meritve na Gori nad Ajdovščino.

Vabljeni


četrtek, 20. september 2012 Seminar MARA

V ponedeljek, 24. avgusta 2012, bo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru skupnega SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP IAM, Oddelka za matematiko in računalništvo UP PEF ter Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT-1-RU1 ob 16:00

Predavatelj: Sašo Moškon

Naslov: Sistem za podporo gasilcem na intervenciji

Povzetek:

Gasilska služba potrebuje za svoje učinkovito delovanje množico različnih informacij. Pomembno je, da so te informacije aktualne ter hitro dostopne in ne zakopane v arhivih gasilske postaje ali javnih služb. V našem produktu smo uredili in združili podatke iz različnih virov kot so PIC (prometno informacijski center), URSZR (urad za zaščito in reševanje RS), MZIP-GU (geodetska uprava), ki jim po potrebi dodamo lokalne vire (MOK,MOL) v težnji po čim bolj informativnem, preglednem in učinkovitem sistemu za podporo med intervencijami. Aplikacija je rezultat projekta SOVZO, ki ga je v okviru programa TP MIR sofinancirala Javna agencija za tehnološki razvoj Republike Slovenije (TIA).
Naša aplikacija združuje podatke o cestah, lokacijah gasilskih vozil, hidrantov, cestnih zapor, razmerah v prometu, požarnih načrtih stavb, nevarnih snoveh in številu prebivalcev ter omogoča pregled teh podatkov na interaktivni mapi podprti s prostorskim informacijskim sistemom. Prednost aplikacije je med drugim upoštevanje aktualnih podatkov o zaporah cest, obremenjenosti cest in posebnih omejitev zaradi, na primer, tipa vozila pri navigaciji do kraja intervencije. Centrala spremlja vozila s pomočjo GPS/GPRS modulov vgrajenih na vozilih, ki poleg rednega (vsako sekundo) pošiljanja podatka o lokaciji vozila omogoča tudi komunikacijo med centralo in vozilom (npr. pošiljanje kraja intervencije).
Na seminarju bom predstavil programsko opremo, razvito posebej za učinkovito in natančno vodenje vozil na intervencijskih nalogah. Predstavljeni bodo oprema in protokol za komunikacijo med vozili in centralo, oprema na vozilu, prostorski informacijski sistem na katerem temelji aplikacija, osnove izvedbe navigacije in ključne funkcije aplikacije.

Vabljeni!


petek, 7. september 2012 Seminar MARA

V ponedeljek, 10. septembra 2012, bo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru skupnega SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP IAM, Oddelka za matematiko in računalništvo UP PEF ter Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT-1-RU1 ob 16:0
0

Predavatelji: David Božič, Damir Deželjin, Aleš Kalin in Peter Race

Povzetek:

Podjetje MondoKey (www.mondokey.com) se ukvarja z rešitvami s področja visoke varnosti. Pri razvoju prototipa je sodeloval tudi študent FAMNIT-a. Omenjene rešitve so bile razvite po t.i. ad-hoc principu kot odgovor povpraševanje trga. Zaradi hitrega razvoja ni bilo časa postaviti sodobno strukturo vodenja projektov, kar se je izkazal kot problem pri širitvi tima.

Cilj projektnega seminarja, ki ga bo predstavila skupina štirih študentov, je bil dokumentirati del razvitega sistema ter definirati smernice za integracijo že razvitega sistema s satelitskimi sistemi.

Vabljeni!


petek, 31. avgust 2012 Seminar MARA - tokrat izjemoma v četrtek

V četrtek, 6. septembra 2012, bo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru skupnega SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP IAM, Oddelka za matematiko in računalništvo UP PEF ter Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT-1-RU1 ob 16:0
0  (ČETRTEK, 6. septembra)

Predavatelj: Peter Juvan, UP FAMNIT

Bioinformatika DNA mikromrež

Tehnologija DNA mikromrež se je od sredine 90-ih prejšnjega stoletja pa do svojega današnjega zrelega obdobja skokovito razvijala. V najbolj običajni pojavni obliki gre za meritve izraženosti genov celotnega genoma nekega organizma, tako imenovano ekspresijsko profiliranje; druge oblike zajemajo analizo genomske DNA (komparativna genomska hibridizacija, študije enojnih nukleotidnih polimorfizmov, resekvenciranje) in študije uravnavanja izražanja genov (kromatinska imunoprecipitacija na čipu, mapiranje prepisov).

Sočasno (oz. z rahlo zamudo) so se razvijale tudi metode za obdelavo podatkov teh meritev, ki obsegajo analizo slik DNA mikromrež, normalizacijo in analizo pridobljenih podatkov, njihovo označevanje in shranjevanje ter ovrednotenje rezultatov. Vse te metode obravnavamo pod skupnim imenom bioinformatika DNA mikromrež; njihova poglavitna značilnost je obravnava velikega števila spremenljivk (reda velikosti 106 sond oz. 104 genov) na relativno majhnem vzorcu (reda velikosti 102 tkiv ali pacientov).

V predavanju bomo pregledali poglavitne koncepte bioinformatike DNA mikromrež, ki so relativno neodvisni od izbrane tehnološke platforme in preučevanega biološkega sistema. Začeli bomo pri načrtovanju poskusa, preskočili mokri del in nadaljevali pri računalniški obdelavi slik in procesiranju podatkov. Aplicirali bomo koncepte statističnega testiranja hipotez, nenadzorovanega in nadzorovanega strojnega učenja in zaključili s primerom odkrivanja zakonitosti v podatkih – slednje še vedno (oz. vedno znova) predstavlja velik raziskovalni izziv.

Vabljeni!


četrtek, 23. avgust 2012 Seminar MARA

V ponedeljek, 27. avgusta 2012, bo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru skupnega SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP IAM, Oddelka za matematiko in računalništvo UP PEF ter Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT-1-RU1 ob 16:00

Predavatelj: Sašo Moškon

Naslov: Akustična klasifikacija morskega dna - hidrografske meritve


Povzetek:
Akustični podatki, pridobljeni s sonarskimi meritvami se že dolgo uporabljajo za določanje globin - batimetrijo. Naša hipoteza je, da se v teh podatkih skriva še mnogo več informacij o morskem dnu. S procesiranjem in analizo akustičnih podatkov bomo poskušali klasificirati dno slovenskega morja, torej določiti tipe kot so trava, mulj, kamni, pesek, itd. Osnova za dosego cilja so kvalitetni akustični
podatki, ki jih dobimo s hidrografskimi meritvami.
Na seminarju bo predstavljen oddelek za hidrografijo podjetja
Harpha Sea ter oprema in postopek opravljanja hidrografskih meritev.

Vabljeni!


četrtek, 9. avgust 2012 Seminar MARA

V ponedeljek, 13. avgusta 2012, bo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru skupnega SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP IAM, Oddelka za matematiko in računalništvo UP PEF ter Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT-1-RU1 ob 16:00

Pradavatelj: Milan Djordjevic
 
Naslov: GRAFTED GENETIC ALGORITHM AND THE TRAVELING VISITOR PROBLEM
 

Abstract:

In this presentation, two related topics from theoretical computer science are considered.The first one considers Grafted Genetic Algorithms. The presentation analyzes separate, combined and partial performance of local searcher and genetic algorithm. On the Traveling Salesman Problem we examine the impact of hybridization a 2-opt heuristic based local searcher into the genetic algorithm. Genetic algorithm provides a diversification, while 2-opt improves intensification. Results on examples from TSPLIB show that this method combines good qualities from both methods applied and outperform each individual method. In tests we applied hybridization at various percentages of genetic algorithm iterations. On one side the less frequent application of hybridization decreased the average running time of the algorithm from 14.62 sec to 2.78 sec at 100% and 10% hybridization respectively, while on the other side the quality of solution on average deteriorated only from 0.21% till 1.40% worse than the optimal solution. We also studied at which iterations of the genetic algorithm to apply the hybridization. We applied it at random iterations, at the initial iterations, and the ending ones where the later proved to be the best.

The second topic considers the Traveling Visitor Problem. We consider the problem where visitors start from a hotel with desire to visit all interesting sites in a city exactly once and to come back to the hotel. Since, the visitors use streets and pedestrian zones, the goal is to minimize the visitor's traveling distance. This problem is similar to the Traveling Salesman Problem. The difference is that during visit, traveling visitors cannot fly over buildings in the city. Instead, they have to go around these obstacles. That means that all shortest distances, like those in Euclidean Traveling Salesman Problem, are not valid in this case. The tested benchmarks used come from three real instances made using tourist maps of cities of Venice, Belgrade and Koper and two modified instances from TSPLIB. We introduced and compared two methods for solving the Traveling Visitor Problem. In all tested cases, the Koper Algorithm
outperforms the Naive Algorithm for solving the Traveling Visitor Problem - quality of solutions differs from 6.52% to 354.46%.
 
Vabljeni!

petek, 29. junij 2012 Seminar MARA

V ponedeljek, 2. julija 2012, bodo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanja v okviru skupnega SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP IAM, Oddelka za matematiko in računalništvo UP PEF ter Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT-1-RU1 ob 16:00



16.00 - predavatelj: Staš Bevc

Naslov: ESPResSo++: program za simulacije sistemov mehke snovi

Povzetek:
Prenovljeni Extensible simulation package for research on soft matter systems (ESPResSo++) je sodoben programski paket za izvajanje simulacij molekularne dinamike mehke snovi. Eden od glavnih ciljev pri razvoju programa je razširljivost, zaradi česar je jedro programa napisano modularno z uporabo objektno usmerjenega programiranja. Raziskovalci lahko ESPResSo++ uporabljajo kot raziskovalno okolje za razvoj in preizkušanje lastnih metodoloških pristopov.
Na predavanju bom predstavil program ESPResSo++, potek razvoja, organizacijo kode, način
paralelizacije ter nekaj preprostih primerov simulacij.



16.30 - predavatelj: Kati Rozman

Naslov: PARALLEL-PROBIS: Hitri vzporedni algoritem za lokalno strukturno primerjavo proteinskih struktur in vezavnih mest

Povzetek:
Predstavili bomo nov vzporedni algoritem ProBiS za iskanje podobnih vezavnih mest na proteinih. S tem algoritmom računamo lokalne podobnosti med proteinskimi strukturami na gruči večprocesorskih računalnikov. Največje izboljšanje algoritma opazimo pri proteinih z okoli 600 aminokislinami. V tem primeru je pohitritev računanja za 180. Računanje porazdelimo med dve med seboj povezani gruči računalnikov skupaj z 248 računalniškimi jedri. Računalniški program Parallel ProBiS je za akademsko uporabo prosto dostopen na naslovu  http://probis.cmm.ki.si/download.

 


17.00 - predavatelj: Marko Grgurovič

Naslov: Parallel Ant System

Povzetek:
We study the parallel case of the ant system algorithm solving the traveling salesman problem. Following series of recent results for the graphics processing unit model, we show that they translate to the parallel random access machine model. In addition, we introduce a novel method for updating the pheromone matrix without atomic instructions, which is an improvement over the currently best known non-atomic update method. As an immediate consequence, we give new asymptotic bounds for the parallel ant system. We also present an empirical comparison with the currently known approaches to pheromone matrix update. For the empirical study we implement our results on the graphics processing unit.

 

17.30 - predavatelj: Marko Grgurovič

Naslov: Speeding up shortest path algorithms

Povzetek:
Given an arbitrary non-negatively weighted graph $G=(V,E)$ we present an algorithm that computes all pairs shortest paths in time $\mathcal{O}(m^* n + m \lg n + nT_\psi(m^*, n))$, where $m^*$ is the number of different edges contained in shortest paths and $T_\psi(m^*, n)$ is a running time of an algorithm to solve a single-source shortest path problem (SSSP). This is a substantial improvement over a trivial $n$ times application of $\psi$ that runs in $\mathcal{O}(nT_\psi(m,n))$. In our algorithm we use $\psi$ as a black box and hence any improvement on $\psi$ results also in improvement of our
algorithm.
Furthermore, a combination of our method, Johnson's reweighting technique, breadth-first search and topological sorting results in an $\mathcal{O}(m^*n + m \lg n)$ all-pairs shortest path algorithm for arbitrarily-weighted directed acyclic graphs.
In addition, we also point out a connection between the complexity of a certain sorting problem defined on shortest paths and SSSP.

 

Vabljeni!


četrtek, 17. maj 2012 Seminar MARA

V ponedeljek, 21. maja 2012, bo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru skupnega SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP PINT, Oddelka za matematiko in računalništvo UP PEF ter Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT-1-RU1 ob 16:00



16.00 - predavatelj: David Paš

Naslov: An ACObased framework for the integrated vehicle and crew scheduling problem in public transport

Povzetek:
Na seminarju bomo spoznali integriran problem razporejanja vozil ter določanja služb v javnem potniškem prometu. Predstavili bomo ogrodje za problem, kateri temelji na meta-hevristiki Ant Colony Optimization. Ogrodje kombinira meta-hevristične metode za problem razporejanja vozil ter določanja služb za reševanje integriranega problema. Na podlagi ogrodja smo razvili algoritem in ga primerjali s klasičnim, zaporednim, celoštevilskem postopku na realnih primerih.
Izkazalo se je, da čeprav naša metoda temelji na meta-hevrističnem
pristopu, ji je uspelo doseči rešitve boljše kakovosti v primerjavi z
optimalnimi rešitvami celoštevilskega postopka. Poleg tega bomo pokazali, da naša metoda lahko vedno najde boljše ali enako dobre rešitve kot zaporedna aplikacija uporabljenih metod za razporejanje vozil ter določanje služb.


16.30 - predavatelj: Pavel Fičur

Naslov: Lidar in meritve ozračja

Povzetek:
Na seminarju bo predstavljena naprava LIDAR, ki se lahko uporablja tudi za detekcijo in merjenje onesnaženosti v ozračju. Ogledali si bomo osnovno idejo lidarske meritve ter napravo, ki jo imamo na UP IAM. Na koncu bo predstavljenih nekaj osnovnih meritev.

Vabljeni!


četrtek, 9. februar 2012 Seminar MARA

V ponedeljek, 13. februarja 2012, bo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru skupnega SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP PINT, Oddelka za matematiko in računalništvo UP PEF ter Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT-1-RU1 ob 16:00


Predavatelj: Milan Đorđević

 
Naslov: The Traveling Visitor Problem and Algorithms for Solving It
 

Povzetek:
We consider the problem when visitor wants to visit all interesting sites in a city exactly once and to come back to the hotel. Since, the visitors use streets, walking trails and pedestrian zones. The goal is to minimize the visitor’s traveling . A new problem the Traveling Visitor Problem (TVP) is then similar to the Traveling Salesman Problem (TSP) with a difference that the traveling visitors, during its visit of sites, can not fly over buildings in the city, instead visitors have to go around these obstacles. That means that all ”air” distances, like those in a TSP, are impossible in this case. The tested benchmarks are combined from three real instances made using tourist maps of cities of Koper, Belgrade and Venice and two instances of modified cases from TSPLIB. We compared two methods for solving the Traveling Visitor Problem. In all tested cases the Koper Algorithm significantly outperforms the Naive Algorithm for solving the Traveling Visitor Problem.

Vabljeni!


petek, 27. januar 2012 Seminar MARA

V ponedeljek, 30. januarja 2012, bo ob 16.00  uri v prostorih Fakultete za matematiko, naravoslovje in informacijske tehnologije Univerze na Primorskem, Glagoljaška 8, Koper predavanje v okviru skupnega SEMINARJA ZA MATEMATIČNE IN RAČUNALNIŠKE ZNANOSTI Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP FAMNIT, Oddelka za matematiko in Oddelka za Informacijske znanosti in tehnologije UP IAM, Oddelka za matematiko in računalništvo UP PEF ter Oddelkov za matematiko in teoretično računalništvo IMFM.

RAČUNALNIŠKI SEMINAR

Prostor: FAMNIT 1 RU 1 ob 16:00

Predavatelj: Sašo Moškon

Naslov: Primerjava učinkovitosti med športnimi stavnicami

Povzetek:
Športne stave postajajo iz dneva v dan bolj popularne. Razlog za to je tudi razcvet spletnih stavnic. Predstavil bom primerjavo učinkovitosti med športnimi stavnicami. Stavnice smo primerjali glede na učinkovitost napovedovanja izidov nogometnih tekem nekaterih najmočnejših svetovnih lig - Italijanske Serie A, Angleške Premier League, Španske Primera Division in Nizozemske Eredivisie. Obravnavane tekme so bile odigrane med letoma 2004 in 2008.
Kvote stavnic smo uporabili kot napovedi izidov tekem in nato kvaliteto teh napovedi primerjali med stavnicami in med ligami.

 

Vabljeni