Univerza na Primorskem Fakulteta za matematiko, naravoslovje in informacijske tehnologije
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Ponedeljkov seminar računalništva in informatike - Arhiv

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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

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PREDAVATELJ: Jordan Aiko DEJA
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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.

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

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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

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PREDAVATELJICA: Sidra ASLAM
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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.

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

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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!