Details
System Dependability - Theory and Applications
Proceedings of the Nineteenth International Conference on Dependability of Computer Systems DepCoS-RELCOMEX. July 1-5, 2024, Brunów, PolandLecture Notes in Networks and Systems, Band 1026
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192,59 € |
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| Verlag: | Springer |
| Format: | |
| Veröffentl.: | 13.06.2024 |
| ISBN/EAN: | 9783031618574 |
| Sprache: | englisch |
Dieses eBook enthält ein Wasserzeichen.
Beschreibungen
<p>This book presents a selection of papers about problems which arise in dependability studies of contemporary computer systems and networks. Their collection should be an interesting and inspiring source material for scientists, researchers, engineers, and students who must consider diverse dependability characteristics in design, analysis, or maintenance of computer systems and networks.</p>
<p>The papers were presented during the 19th DepCoS-RELCOMEX conference which was the next event in a series organized annually since 2006. Originating as a scientific platform for discussions of reliability aspects in computer engineering, the topical scope of the conference has been constantly expanded to incorporate new dependability challenges brought by recent advances in systems and information technologies. Currently, dependable operation in the context of computer processing means obtaining reliable (true and timely) results in the conditions of processing both quantitative and qualitative data, using precise or fuzzy (often: imitating) models and algorithms. With increasing use of artificial intelligence algorithms and tools, dependability in contemporary information technology and computer engineering calls for methods based on cognitive systems and deep learning techniques. Topical variety of the papers included in these proceedings proves that almost all applications of modern computer systems and networks must take into account the aspect of dependability and also illustrates a wide diversity of multidisciplinary subjects which needs to be considered in this context.</p>
<p>The papers were presented during the 19th DepCoS-RELCOMEX conference which was the next event in a series organized annually since 2006. Originating as a scientific platform for discussions of reliability aspects in computer engineering, the topical scope of the conference has been constantly expanded to incorporate new dependability challenges brought by recent advances in systems and information technologies. Currently, dependable operation in the context of computer processing means obtaining reliable (true and timely) results in the conditions of processing both quantitative and qualitative data, using precise or fuzzy (often: imitating) models and algorithms. With increasing use of artificial intelligence algorithms and tools, dependability in contemporary information technology and computer engineering calls for methods based on cognitive systems and deep learning techniques. Topical variety of the papers included in these proceedings proves that almost all applications of modern computer systems and networks must take into account the aspect of dependability and also illustrates a wide diversity of multidisciplinary subjects which needs to be considered in this context.</p>
<p>Chapter 1. Large language models for data extraction in slot-filling tasks.- Chapter 2. Anonymization of Bids in Blockchain Auctions Using Zero-Knowledge Proof.- Chapter 3. Survival Signature for Reliability Quantificationof Large Systems and Networks.- Chapter 4. Using Resizing Layer in U-net to Improve Memory Efficiency.- Chapter 5. Multiprocessor task scheduling with probabilistic task duration.- Chapter 6. On-line scheduling multiprocessor tasks in the non-predictive environment.- Chapter 7. Solving a Vehicle Routing Problem for a real-life parcel locker-based delivery.- Chapter 8. Hammering test for tile wall using AI.- Chapter 9. Models of Resilient Systems with Online Verification Considering Changing Requirements and Latent Failures.- Chapter 10. Performance Optimizations of Real World Map Transformations for 3D Realtime Mobile Games.- Chapter 11. Preliminary Study on the Detection of Subtle Variations in Image Sequences for Identifying False Starts in Speedway Racing.- Chapter 12. Bibliometric Analysis of the Application of Artificial Intelligence in Renewable Energy Sources: Trends.- Chapter 13. Impact of the statistics of the learning data on the performance of a recommendation system based on MovieLens data.- Chapter 14. Randomly Initiated Cyclostationary Excitations for Dimensionality Reduction in Wiener System Identification.- Chapter 15. Wireless employee safety monitoring system with measurement of biomedical parameters.- Chapter 16. Artificial Intelligence Methods for Pet Emotions Recognition.- Chapter 17. Parallel Swarm Intelligence: Efficiency Studywith Fast Range Search in Euclidean Space.- Chapter 18. Digital Transformation Impacts on Industry 4.0 Evolution.- Chapter 19. Optimization of procurement strategy supportedby simulated annealing and genetic algorithm.- Chapter 20. Tumor volume measurements in animal experiments: current approaches and their limitations.- ....etc.</p>
<p><strong>Wojciech Zamojski </strong>has been a Professor of Computer Engineering at the Wroclaw University of Science and Technology, and at The University of Zielona Góra, the Collegium Witelona in Legnica, and the DSW University of Lower Silesia in Wrocław. His research interests focus on the theory of system dependability, computer systems and networks, artificial intelligence and their applications, modelling and simulation 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 Reliability and Exploitation of Computer Systems RELCOMEX and MICROCOMPUTER Schools. He is the author, co-author and editor of scientific publications (articles, books, notebooks, reports, proceedings) related to computer engineering and dependability.</p>
<p><strong>Jacek Mazurkiewicz</strong> is an assistant professor at Faculty of Information and Communication Technology at Wroclaw University of Science and Technology (WUST), Poland. He received MSc and PhD degrees in Computer Science from WUST in, respectively, 1992 and 2001. He is a member Polish Neural Network Society and Polish Safety and Reliability Association. Author or 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.</p>
<p><strong>Jarosław Sugier</strong> received MSc and PhD degrees in computer science from Wrocław University of Science and Technology and is currently an assistant professor at the Faculty of Information and Communication Technology. 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 approx. 90 scientific publications and has been an editor of 20 monographs and conference proceedings.</p>
<p><strong>Tomasz Walkowiak </strong>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. It processes several millions of user requests each year. Tomasz Walkowiak 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 authored or co-authored over 240 papers.</p>
<p><strong>Janusz Kacprzyk</strong> 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 many universities in the USA, England, Italy, UK and Mexico. He is Academician (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 authored or co-authored 5 books, 50 volumes, and ca. 400 papers.</p>
<p><strong>Jacek Mazurkiewicz</strong> is an assistant professor at Faculty of Information and Communication Technology at Wroclaw University of Science and Technology (WUST), Poland. He received MSc and PhD degrees in Computer Science from WUST in, respectively, 1992 and 2001. He is a member Polish Neural Network Society and Polish Safety and Reliability Association. Author or 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.</p>
<p><strong>Jarosław Sugier</strong> received MSc and PhD degrees in computer science from Wrocław University of Science and Technology and is currently an assistant professor at the Faculty of Information and Communication Technology. 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 approx. 90 scientific publications and has been an editor of 20 monographs and conference proceedings.</p>
<p><strong>Tomasz Walkowiak </strong>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. It processes several millions of user requests each year. Tomasz Walkowiak 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 authored or co-authored over 240 papers.</p>
<p><strong>Janusz Kacprzyk</strong> 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 many universities in the USA, England, Italy, UK and Mexico. He is Academician (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 authored or co-authored 5 books, 50 volumes, and ca. 400 papers.</p>
<p>This book presents a selection of papers about problems which arise in dependability studies of contemporary computer systems and networks. Their collection should be an interesting and inspiring source material for scientists, researchers, engineers, and students who must consider diverse dependability characteristics in design, analysis, or maintenance of computer systems and networks.</p>
<p>The papers were presented during the 19th DepCoS-RELCOMEX conference which was the next event in a series organized annually since 2006. Originating as a scientific platform for discussions of reliability aspects in computer engineering, the topical scope of the conference has been constantly expanded to incorporate new dependability challenges brought by recent advances in systems and information technologies. Currently, dependable operation in the context of computer processing means obtaining reliable (true and timely) results in the conditions of processing both quantitative and qualitative data, using precise or fuzzy (often: imitating) models and algorithms. With increasing use of artificial intelligence algorithms and tools, dependability in contemporary information technology and computer engineering calls for methods based on cognitive systems and deep learning techniques. Topical variety of the papers included in these proceedings proves that almost all applications of modern computer systems and networks must take into account the aspect of dependability and also illustrates a wide diversity of multidisciplinary subjects which needs to be considered in this context.</p>
<p>The papers were presented during the 19th DepCoS-RELCOMEX conference which was the next event in a series organized annually since 2006. Originating as a scientific platform for discussions of reliability aspects in computer engineering, the topical scope of the conference has been constantly expanded to incorporate new dependability challenges brought by recent advances in systems and information technologies. Currently, dependable operation in the context of computer processing means obtaining reliable (true and timely) results in the conditions of processing both quantitative and qualitative data, using precise or fuzzy (often: imitating) models and algorithms. With increasing use of artificial intelligence algorithms and tools, dependability in contemporary information technology and computer engineering calls for methods based on cognitive systems and deep learning techniques. Topical variety of the papers included in these proceedings proves that almost all applications of modern computer systems and networks must take into account the aspect of dependability and also illustrates a wide diversity of multidisciplinary subjects which needs to be considered in this context.</p>
Presents recent research in Dependability of Computer Systems Proceedings of the Nineteenth International Conference on Dependability of Computer Systems (DepCoS-RELCOMEX) Presents general aspects and dependability of computer systems, networks theory, and communication technology
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