@{MTMT:34793032, title = {Épületinformatikai programozási feladatok}, url = {https://m2.mtmt.hu/api/publication/34793032}, author = {Rákóczi , Barbara Mónika}, booktitle = {Domotika 2.}, unique-id = {34793032}, year = {2024}, pages = {81-130} } @{MTMT:34793025, title = {Épületvillamossági számítások}, url = {https://m2.mtmt.hu/api/publication/34793025}, author = {Bencsik, József}, booktitle = {Domotika 2.}, unique-id = {34793025}, year = {2024}, pages = {29-80} } @inproceedings{MTMT:34769012, title = {Analysis of Mechanical Faults of Asynchronous Motors Based on the Abrasion Map}, url = {https://m2.mtmt.hu/api/publication/34769012}, author = {Bendiák, István and Semperger, Sándor}, booktitle = {IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings}, unique-id = {34769012}, year = {2024}, pages = {000339-000344}, orcid-numbers = {Bendiák, István/0009-0009-3320-4089} } @inproceedings{MTMT:34768987, title = {Impact Determination Exercise in cyber security assessments of Industrial Automation and Control Systems}, url = {https://m2.mtmt.hu/api/publication/34768987}, author = {István, Dénes and Semperger, Sándor}, booktitle = {IEEE 11th International Conference on Computational Cybernetics and Cyber-Medical Systems : ICCC 2024 : Proceedings}, unique-id = {34768987}, year = {2024}, pages = {000265-000270} } @article{MTMT:34669713, title = {Napelemek az úszómedence 2-es sávjában}, url = {https://m2.mtmt.hu/api/publication/34669713}, author = {Novothny, Ferenc}, journal-iso = {ELEKTROINSTALLATEUR}, journal = {ELEKTROINSTALLATEUR}, volume = {32}, unique-id = {34669713}, issn = {1217-1867}, year = {2024}, pages = {32-33}, orcid-numbers = {Novothny, Ferenc/0009-0002-5892-8584} } @article{MTMT:34669592, title = {Víz egy elárasztott elosztószekrényben! - Ki kell-e cserélni az összes készüléket?}, url = {https://m2.mtmt.hu/api/publication/34669592}, author = {Novothny, Ferenc}, journal-iso = {ELEKTROINSTALLATEUR}, journal = {ELEKTROINSTALLATEUR}, volume = {32}, unique-id = {34669592}, issn = {1217-1867}, year = {2024}, pages = {29-30}, orcid-numbers = {Novothny, Ferenc/0009-0002-5892-8584} } @article{MTMT:34669484, title = {Az áram-védőkapcsoló kioldóáramának értékelése}, url = {https://m2.mtmt.hu/api/publication/34669484}, author = {Novothny, Ferenc}, journal-iso = {ELEKTROINSTALLATEUR}, journal = {ELEKTROINSTALLATEUR}, volume = {32}, unique-id = {34669484}, issn = {1217-1867}, year = {2024}, pages = {21-22}, orcid-numbers = {Novothny, Ferenc/0009-0002-5892-8584} } @article{MTMT:34557939, title = {The Future of Adaptive Grids using Kalman Filter for Data Smoothing and Data Prediction}, url = {https://m2.mtmt.hu/api/publication/34557939}, author = {Pálfi, Judith}, journal-iso = {ACTA POLYTECH}, journal = {ACTA POLYTECHNICA}, unique-id = {34557939}, issn = {1210-2709}, year = {2024}, eissn = {1805-2363} } @article{MTMT:34012457, title = {Images encryption based on robust multi-mode finite time synchronization of fractional-order hyper-chaotic Rikitake systems}, url = {https://m2.mtmt.hu/api/publication/34012457}, author = {Javan, Ali Akbar Kekha and Zare, Assef and Mosavi, Amirhosein}, doi = {10.1007/s11042-023-15783-2}, journal-iso = {MULTIMED TOOLS APPL}, journal = {MULTIMEDIA TOOLS AND APPLICATIONS: AN INTERNATIONAL JOURNAL}, volume = {83}, unique-id = {34012457}, issn = {1380-7501}, year = {2024}, eissn = {1573-7721}, pages = {1103-1123}, orcid-numbers = {Mosavi, Amirhosein/0000-0003-4842-0613} } @article{MTMT:34746765, title = {Dynamic Data Enhancing Battery Efficiency Through Collection Scheduling in IQRF Wireless Sensor Networks}, url = {https://m2.mtmt.hu/api/publication/34746765}, author = {Sebestyén, Gergely and Kopják, József}, doi = {10.2478/aei-2023-0016}, journal-iso = {ACTA ELECTROTECH INF}, journal = {ACTA ELECTROTECHNICA ET INFORMATICA}, volume = {23}, unique-id = {34746765}, issn = {1335-8243}, abstract = {In this study, we explore innovative strategies for enhancing energy efficiency in Wireless Sensor Networks (WSNs), with a focus on the IQRF network. Our approach integrates dynamic sleep scheduling and data collection methods to optimize battery usage and extend the network’s operational lifespan. We introduce a battery life estimation model, taking into account various factors such as data collection frequency and network size. This model is instrumental in predicting battery longevity under different operational scenarios. Additionally, we develop a practical tool in the form of an API and an online calculator, aimed at assisting network designers in planning and maintaining energy-efficient WSNs. Our results, derived from a case study involving a CO2 sensor network, demonstrate the effectiveness of our methodologies in real-world applications. The study concludes that implementing dynamic data collection and sleep scheduling significantly enhances battery life, offering a valuable contribution to the sustainability and reliability of WSNs.}, year = {2023}, eissn = {1338-3957}, pages = {3-9}, orcid-numbers = {Sebestyén, Gergely/0009-0006-7782-793X} }