nccmne, Author at EuroCC Montenegro

19.02.2022.27.10.2022.

IEEE IT2022 was a success!

EuroCC Montenegro and UDG took part in the organization of the 26th International Conference on Information Technology, IEEE IT2022. The conference was organized in a virtual setting this year. More information about the conference is available here.

EuroCC project was presented by Dr Luka Filipovic in the session dedicated to presentation of project results for the projects implemented in Montenegro and the region. Besides EuroCC itself, in this session Mr Stevan Cakic gave a presentation of AIMHiGH project that is done in the context of H2020 FF4EuroHPC experiments and EuroCC/UDG is a partner. This session took place on 16 February 2022.

Successful wrap up of the 26th IEEE IT conference IT2022

Also, the 2nd EuroCC Workshop on High-Performance Computing, High-Performance Data Analytics, and Artificial Intelligence. We had presenters from Slovenia, Croatia, Cyprus, Czechia, Netherlands , Serbia, and Montenegro. This event was organized in a hybrid setting where we had around 10-15 attendees at the UDG (EuroCC Montenegro), and over 40 attendees via Zoom. The workshop was split into 4 afternoon sessions spread over two days on 17-18 February. The workshop was attended by the representatives of Montenegrin academia and students (UDG, UCG), industry, and partners More details on the workshop will follow soon. The program agenda is available here.

Hybrid setting of the EuroCC Workshop during IEEE 2022

In four sessions dedicated to paper presentations, there was over 30 papers presented, several of which were related to AI and machine learning. Ms Zoja Scekic, a young researcher and student from UDG, presented a paper on the use of AI/ML for computer vision applications in Smart Parking.

Paper on the use of AI/ML for Parking Occupancy Detection

16.02.2022.27.10.2022.

EuroCC Project Presented at IEEE IT2022

Researchers from EuroCC Montenegro presented EuroCC project at the 26th International Conference on Information Technology, IEEE IT2022. The conference is traditionally taking place in Žabljak, Montenegro, but this year the event was organized in a virtual setting. Dr Luka Filipovic gave a presentation on EuroCC project goals and main results of the EuroCC Montenegro. More information about the conference is available at the following link.

There was around 25 attendees in the session dedicated to project results presentations

EuroCC Montenegro will be hosting a workshop on HPC/HPDA/AI on 17-18 Feb 2022.

12.02.2022.27.10.2022.

Master Thesis: Ethics of Artificial Intelligence

Ms Jelena Tijanic, a master student at the University of Donja Gorica just defended her Master thesis titled “Ethics and Artificial Intelligence”. The thesis was done at the Master academic studies “Statistics” (EMOS) under supervision of her mentor prof. dr Milica Vukotic.

ABSTRACT – Artificial intelligence is ubiquitous and enables many of our daily routines – booking flights, driving without a driver, supports decision-making in governments and the private sector. Artificial intelligence technology delivers outstanding results in highly specialized areas such as cancer screening and building an inclusive environment for people with disabilities. They also help combat global problems such as climate change and world hunger, and help reduce poverty by optimizing economic aid. But technology also brings unprecedented new challenges. We see increased gender and ethnic bias, significant threats to privacy, dignity, dangers of mass surveillance, and increased use of unreliable law enforcement technologies.

The first part of the thesis presents the basic problems that the world is facing and why the development of artificial intelligence is a potential threat to the future of mankind. A new recommendation adopted by UNESCO member countries was presented. The second part of the thesis describes the basic concepts related to recommendation systems, the way they work, as well as their division. Here are some examples of where systems are used. Ethical problems that can be encountered during their development are described.Finally, a practical example of a movie recommendation system is described. The process of making the systems was described and the result analyzed.

Master Thesis: Ethics of Artificial Intelligence – Ms Jelena Tijanic

10.02.2022.27.10.2022.

IEEE IT2022 Conference Program is Available

The organizers of the IEEE IT2022 conference are pleased to inform you that the Program of the 26th IT Conference and the schedule of sections is posted on the site within the links “Conference program” and “Sections schedule”. University of Donja Gorica and EuroCC Montenegro took active role in the organization of this years IT2022. Please check the links for paper presentation sessions as well as EuroCC workshop on HPC/HPDA/AI. More information about the conference is available here.

Click on slide to open the conference website

You can download the program of the XXVI International Scientific-Professional Conference IT`22 at this link.

EuroCC Montenegro is organizing 2nd High Performance Computing, High Performance Data Analytics, and Artificial Intelligence Workshop on 17-18. February within the IEEE IT2022 conference. The agenda for the training is available here.

Please click on the image below to register for the EuroCC Montenegro workshop.

Click on image to register for EuroCC Montenegro Workshop

03.02.2022.27.10.2022.

AI and function of the brains of adults and the unborn

University of Donja Gorica from Montenegro and International Academy of Sciences and Arts of Bosnia and Herzegovina are organizing a scientific conference on the topic “What does modern science know about the structure and function of the brains of adults and the unborn?”. The conference is taking place at the UDG, Amphitheater AS, on 5th and 6th of February 2022 . The organizers of the conference are Academic prof. dr Veselin Vukotic and Academic prof. dr Asim Kurjak.

We would like to emphasize the talks on the use of Artificial intelligence for pattern recognition, ultrasound diagnostics and prediction of performance and potential failures of medical devices. Those talks will be given by Academic Almir Badnjevic and prof. dr Tarik Uzunovic.

Click on image for the Agenda (in Montenegrin/Bosnian)

31.01.2022.27.10.2022.

Experimenting with Load Balancing Methods for Parallel Applications

Combined adaptive load balancing algorithm was tested on the HPC provider computing resources. Algorithm is based on domain decomposition and master-slave algorithms. Its core scheduling adaptive mechanism handles load redistribution according obtained and analyzed data. Selection of distribution algorithm, based on collected parameters and previously defined conditions, proved to deliver increased performances and reduced imbalance. Results of simulations confirm better performance of proposed algorithms compared to the standard algorithms reviewed in this paper.

Experimenting with combined adaptive load balancing for parallel application

Simulations on up to 224 CPU cores proved its validity and better efficiency than standard domain decomposition and master slave algorithms. In addition, simulations have shown that there are no large losses due to the increase in the number of cores on which the simulation is performed. More information on the experiment goals and the algorithm is available in the following reference: L. Filipovic, B. Krstajic, and T. Popovic, “Combined adaptive load balancing algorithm for parallel applications”, 8th International Conference on Electrical, Electronic and Computing Engineering IcETRAN 2021.

29.01.2022.27.10.2022.

AI for the Energy Sector: Forecasting Day-Ahead Electricity Metrics with Machine Learning

The day-ahead energy market lets market participants commit to buy or sell wholesale electricity one day before the operating day, to help avoid price volatility. Forecasting day-ahead electricity prices and loads creates basis for decision making in this process. Mr. Milutin Pavićević, a young researcher from the University of Donja Gorica , explored the possibility to utilize artificial neural networks in order to improve the forecasting day-ahead electricity prices and loads based on the historical data. This was the topic of his Master thesis research work done under supervision of professor Tomo Popovic, which finally resulted in a scientific article published in MDPI journal Sensors. The paper is titled ”Forecasting Day-Ahead Electricity Metrics with Artificial Neural Networks” within the Special Issue Complex Data Processing Systems and Computing Algorithms: New Concepts and Applications.

During this research effort the researchers engaged the domain experts which provided us with generous help in obtaining datasets and understanding the problem of day-ahead consumption, spot price prediction, and the electricity market. The results show the promising efficiency of AI and machine learning for the task of short-term prediction of electricity metrics. With the support of EuroCC Montenegro, the future work will include experimenting on the HPC infrastructure and creation of an industry pilot demonstration for the energy sector.

Forecasting Day-Ahead Electricity Metrics with Machine Learning

ABSTRACT – As artificial neural network architectures grow increasingly more efficient in time-series prediction tasks, their use for day-ahead electricity price and demand prediction, a task with very specific rules and highly volatile dataset values, grows more attractive. Without a standardized way to compare the efficiency of algorithms and methods for forecasting electricity metrics, it is hard to have a good sense of the strengths and weaknesses of each approach. In this paper, we create models in several neural network architectures for predicting the electricity price on the HUPX market and electricity load in Montenegro and compare them to multiple neural network models on the same basis (using the same dataset and metrics). The results show the promising efficiency of neural networks in general for the task of short-term prediction in the field, with methods combining fully connected layers and recurrent neural or temporal convolutional layers performing the best. The feature extraction power of convolutional layers shows very promising results and recommends the further exploration of temporal convolutional networks in the field.

The paper can be accessed at the Sensors website at the following link.