TY - CONF AU - Molnár, Bálint AU - Báldy, Péter AU - Balázs, Krisztina Eszter TI - Architectures of Contemporary Information Systems and Legal/Regulatory Environment T2 - Proceedings of the 26th International Conference on Enterprise Information Systems (ICEIS 2024) - Volume 2, PY - 2024 SP - 753 EP - 761 PG - 9 UR - https://m2.mtmt.hu/api/publication/34824235 ID - 34824235 N1 - ISBN: 978-989-758-692-7; ISSN: 2184-4992 AB - The information interchange, between humans and computers, and the data processing in the context of Information Systems and Enterprises became a complex structure with a rapidly developing technology stack. This paper proposes an integrated approach that combines recent technological approaches in architecture for Information Systems and Enterprises concerning the recent development of the technology landscape. There are established scientific and research disciplines in domains such as Enterprise Architecture, Analysis, and Design of Information Systems, Business Process Management and Modeling, Data Management and Administration, and Human-Computer Interaction. The rapid development of Artificial Intelligence (Machine Learning, Data Science) and its applications in enterprise environments necessitates defining a research framework that can support the alignment of these components for research and practical applications. Since Information Systems are of socio-technological phenomenon, and quick development of technologies meddles with the privacy, and personal data of individuals. This fact implies that the legal, regulatory, and ethical set of rules should be considered and built-in through architectural building blocks into Enterprise Architecture. Therefore, the existing and emerging regulatory frameworks are considered to make it possible and realize compliance through artifacts that care about conformance to rules. The legal environment and the ethics that are deduced from the legal rules touch the local and public administrations that operate the cities through advanced IT systems. LA - English DB - MTMT ER - TY - CONF AU - Mináriková, Erika AU - Pisoni, Galena AU - Molnár, Bálint AU - Kristín Skaftadottir, Hanna TI - Business Intelligence Reporting by Linguistic Summaries for Smart Cities: A Case on Explaining Bicycle Sharing Patterns T2 - Proceedings of the 26th International Conference on Enterprise Information Systems (ICEIS 2024) - Volume 2, PY - 2024 SP - 762 EP - 768 PG - 7 UR - https://m2.mtmt.hu/api/publication/34824234 ID - 34824234 N1 - ISBN: 978-989-758-692-7; ISSN: 2184-4992 AB - An increasing number of intelligent urban services rely on the use of Information and Communication Technologies (ICT). Data-driven approach is often considered for supporting sustainable cities, provided the pervasive nature of the Internet of Things (IoT) like sensors, and their capabilities to collect data for elaborating to the cities. This paper focuses on an intelligent business reporting approach explaining the bicycle sharing patterns by linguistic summaries in order to provide relevant insights for decision makers and citizens. We explored the developments in bicycle sharing stations in different periods of the day for months and seasons. The business intelligence query operations of drill-down and roll-up are often used in data reporting and analysis. In this work, these operations are realized by linguistic summaries. The main aim is to propose an approach for analysis and visualization in an understandable and interpretable way for diverse user categories. Experiments were conducted on the Dublin bicycle sharing data set. Finally, a way how cities can set in place the collection of data coming from different sources, as well as relevant enterprise infrastructures and data analytic pipelines for such service are discussed. a LA - English DB - MTMT ER - TY - BOOK AU - Galena, Pisoni AU - Molnár, Bálint AU - Szabolcs, Korba AU - Maria, Moloney TI - SUSTAINABILITY TRACING FOR COMPANIES: GOVERNANCE, REGULATION, ECONOMICAL AND ETHICAL CONSIDERATIONS PB - IADIS Press C1 - Porto PY - 2024 SP - 5 SN - 9789898704566 UR - https://m2.mtmt.hu/api/publication/34741944 ID - 34741944 LA - English DB - MTMT ER - TY - JOUR AU - Molnár, Bálint TI - Review: Quick start guide to large language models: strategies and best practices for using ChatGPT and other LLMs JF - COMPUTING REVIEWS - ASSOCIATION FOR COMPUTING MACHINERY J2 - COMP REV - ACM VL - 2024 PY - 2024 IS - January SN - 1530-6585 UR - https://m2.mtmt.hu/api/publication/34536179 ID - 34536179 LA - English DB - MTMT ER - TY - CHAP AU - Molnár, Bálint TI - An Analysis of the Concept of Cognitive Enterprise Architecture Foundation of Cognitive Enterprise Archtecture T2 - 14th IEEE International Conference on Cognitive Infocommunications PB - IEEE CY - Piscataway (NJ) SN - 9798350325652 PY - 2023 SP - 107 EP - 112 PG - 6 DO - 10.1109/CogInfoCom59411.2023.10397536 UR - https://m2.mtmt.hu/api/publication/34548975 ID - 34548975 LA - English DB - MTMT ER - TY - CONF AU - Dávid, Magyar AU - Cserép, Máté AU - Vincellér, Zoltán AU - Attila, D. Molnár TI - Waste Detection and Change Analysis based on Multispectral Satellite Imagery T2 - Proceedings of KEPAF 2023: Képfeldolgozók és Alakfelismerők társaságának 14. konferenciája PY - 2023 PG - 18 UR - https://m2.mtmt.hu/api/publication/34512387 ID - 34512387 LA - English DB - MTMT ER - TY - CHAP AU - Benczúr, András, id ED - Szakál, Anikó TI - From the appearance of “The Computer and the Brain” to the revolution of the infosphere T2 - IEEE 23rd International Symposium on Computational Intelligence and Informatics (CINTI 2023) : Proceedings PB - IEEE CY - Danvers (MA) SN - 9798350342956 T3 - International Symposium on Computational Intelligence and Informatics, CINTI, ISSN 2380-8586 PY - 2023 SP - 000159 EP - 000164 PG - 6 DO - 10.1109/CINTI59972.2023.10382029 UR - https://m2.mtmt.hu/api/publication/34500117 ID - 34500117 LA - English DB - MTMT ER - TY - CHAP AU - Pisoni, Galena AU - Molnár, Bálint ED - Tsiatsos, Thrasyvoulos ED - Langmann, Reinhard ED - Auer, Michael E. TI - Data Management and Enterprise Architectures for Responsible AI Services T2 - Open Science in Engineering PB - Springer Nature Switzerland AG CY - Cham SN - 9783031424670 T3 - Lecture Notes in Networks and Systems, ISSN 2367-3370 ; 763. PY - 2023 SP - 879 EP - 884 PG - 6 DO - 10.1007/978-3-031-42467-0_83 UR - https://m2.mtmt.hu/api/publication/34472933 ID - 34472933 AB - Big data is becoming a reality. Complex and difficult-to-understand data may be found in a wide range of industries. Big data is a critical component of enterprise services and technology architectures. Data science techniques and methodologies can be applied in many aspects of the working of companies. In this paper, first, as a background, we provide an overview of knowledge management practices and data analysis strategies and techniques in the daily operations of companies working towards development of AI agents. Furthermore, we look at the need in particular companies to develop human centric AI solutions; then, we discuss the basics for cross-disciplinary research, in which we stress the need to rethink development processes of AI services and make them more responsible. Thereby, we define research questions to investigate the problem. As the research proposal discusses, companies and public institutions can create and develop new responsible, ethical, and transparent AI services. LA - English DB - MTMT ER - TY - JOUR AU - Fruzsina, Bene AU - Kiss, Attila TI - Post-Quantum Security Overview of the Public Key Infrastructure JF - SYSTEM THEORY CONTROL AND COMPUTING JOURNAL J2 - SYST THEORY CONTROL COMP J VL - 3 PY - 2023 IS - 2 SP - 27 EP - 35 PG - 9 SN - 2668-2966 UR - https://m2.mtmt.hu/api/publication/34470826 ID - 34470826 LA - English DB - MTMT ER - TY - JOUR AU - Singh, Suneet Kumar AU - Rothenberg, Christian Esteve AU - Langlet, Jonatan AU - Kassler, Andreas AU - Vörös, Péter AU - Laki, Sándor AU - Pongracz, Gergely TI - Hybrid P4 Programmable Pipelines for 5G gNodeB and User Plane Functions JF - IEEE TRANSACTIONS ON MOBILE COMPUTING J2 - IEEE T MOBILE COMPUT VL - 22 PY - 2023 IS - 12 SP - 6921 EP - 6937 PG - 17 SN - 1536-1233 DO - 10.1109/TMC.2022.3201512 UR - https://m2.mtmt.hu/api/publication/34459755 ID - 34459755 AB - This paper focuses on hybrid pipeline designs for User Plane Function and next-generation NodeB leveraging target-specific features and an insightful discussion of P4 and target challenges and limitations. The entire or disaggregated UPF runs on P4 targets and allocates packet processing data paths in P4 hardware or DPDK/x86 software based on flow characteristics (e.g., heavy hitters) and QoS requirements (e.g., low-latency slices). For the hybrid gNodeB, most packet processing is executed in commodity Tofino hardware, while unsupported functions such as Automatic Repeat Request and cryptography are performed in DPDK/x86. We show that our hybrid UPF improves the scalability by 18x and reduces latency up to 50%. The results also suggest that careful traffic allocation to pipeline targets is required to optimize each target's strength and avoid processing delays. Finally, we demonstrate a QoS-oriented application of the hybrid UPF and present gNodeB buffer service benchmarks. LA - English DB - MTMT ER -