This book presents the proceedings of the Twentieth International Conference on Dependability of Computer Systems, showcasing recent advancements in this broad area. Contemporary computer systems and networks are the most complex structures ever engineered by man yet their reliable operation is paramount in today’s interconnected world. These systems form the backbone of almost every sector, from healthcare and finance to communication and transportation. Dependable systems ensure the seamless functioning of critical services, such as medical diagnostics, financial transactions, and emergency responses. This volume offers a selection of papers addressing challenges encountered in dependability studies of such systems. It can serve as an engaging and thought-provoking resource for scientists, researchers, engineers, and students who must tackle diverse dependability considerations in the design, analysis, or maintenance of contemporary computer systems.
The 20th DepCoS-RELCOMEX conference marked yet another installment in a series of events held annually since 2006. Initially conceived as a platform for scholarly dialogue on reliability in computer engineering, the conference's focus has continually evolved to encompass emerging challenges arising from advancements in information technologies and computer engineering. Today, dependable computer operations involve delivering accurate and timely results while processing both quantitative and qualitative data, utilizing precise or fuzzy models and algorithms. As Artificial Intelligence and Large Language Models become increasingly prominent, ensuring dependability in modern IT and computer engineering necessitates employing cognitive systems and deep learning methodologies. The diverse topics explored in the conference papers underscore how crucial dependability has become across all applications of contemporary computer systems and networks. They also highlight the multifaceted, interdisciplinary nature of subjects that must be addressed in this area.
Table of Contents:
1. Method for Applying Channels Plan Change to Minimize Message Loss During LoRaWAN Network Reconfiguration.- 2. Machine Learning-based Surrogate Models for Noise Level Prediction on Urban Scale Maps.- 3. Gas Management in Smart Homes.- 4. Standard and RL-controled Tabu search algorithms comparison in Capacitated Vehicle Routing Problem solving.- 5. Using ChatGPT for Converting Sequential Python Programs into Parallel Code.
About the Author :
Wojciech Zamojski has been a Professor of Computer Engineering at the Wroclaw University of Science and Technology (WUST), and at The University of Zielona Góra, the Collegium Witelona in Legnica, and the DSW University of Lower Silesia in Wroclaw. His research focuses on the theory of system dependability, computer systems and networks, artificial intelligence, and modelling of transport systems. He is the founder of an academic school of dependability of computer systems. Apart from DepCoS Conferences, he was the main organizer of cyclic conferences RELCOMEX and MICROCOMPUTER Schools. He is the (co)author and editor of scientific publications (articles, books, notebooks, reports, proceedings) related to computer engineering and dependability.
Jacek Mazurkiewicz is an associate professor at Faculty of Information and Communication Technology at WUST, Poland. He is a member of Polish Neural Network Society and Polish Safety and Reliability Association and (co)author of over 180 papers in international journals, book chapters, and proceedings. His fields of interest include soft computing, computer architecture, wireless systems, dependability, functional analysis, and modelling of systems.
Jaroslaw Sugier is an assistant professor at the Faculty of Information and Communication Technology at WUST. His research interests include programmable digital circuits, hardware implementation of cryptographic algorithms and modelling of human behaviour in computer simulators. He is an author or co-author of about 90 scientific publications and has been an editor of 20 mono-graphs and conference proceedings.
Tomasz Walkowiak is a scientist working in the field of machine learning. He is one of the leading designers of the concept and architecture of the CLARIN-PL Language Technology Centre, which is built upon parallel, distributed, and efficient text processing. He consistently serves as a member of program committees and as a reviewer for Machine Learning and NLP-related international journals and scientific conferences. Additionally, he is an editor of 10 monographs and has (co)authored over 240 papers.
Janusz Kacprzyk is a Professor of Computer Science at the Systems Research Institute of Polish Academy of Sciences, and also at The Warsaw School of Information Technology, PIAP - Industrial Institute of Automation and Measurements, and Cracow University of Technology. He has been a visiting professor at universities in USA, England, Italy, UK and Mexico. He is Full Member of the Polish Academy of Sciences, Fellow of IEEE and IFSA, and Foreign Member of the Spanish Royal Academy of Economic and Financial Sciences. His research interests include intelligent systems, soft computing, fuzzy logic, decision making, decision analysis and decision support, database querying, information retrieval, data analysis, data mining, etc. He has (co)authored 5 books, 50 volumes, and ca. 400 papers.
