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Будь ласка, використовуйте цей ідентифікатор, щоб цитувати або посилатися на цей матеріал: http://ds.knu.edu.ua/jspui/handle/123456789/5487
Назва: Empowering the Edge: Research advances from doors 2024
Автори: Vakaliuk, Tetiana A.
Semerikov, Serhiy O.
Ключові слова: edge computing
edge device
IoT
UAV
distributed systems
Дата публікації: 21-тра-2024
Видавництво: Academy of Cognitive and Natural Sciences
Бібліографічний опис: Vakaliuk T. A. Empowering the Edge: Research advances from doors 2024 // Tetiana A. Vakaliuk, Serhiy O. Semerikov // Journal of Edge Computing. – 2024. –Vol. 3. – Iss. 1. – P. 3–27. – DOI : https://doi.org/10.55056/jec.747
Короткий огляд (реферат): The 4th Edge Computing Workshop (doors 2024) held in Zhytomyr, Ukraine, aimed to bring together researchers to share advances and applications in edge computing, a critical technology for enabling the Internet of Things and analytics close to data sources. This report summarises the event, highlighting the peer-reviewed papers covering topics from edge hardware to AI and security. The nine accepted papers, selected from 19 submissions, propose innovative approaches to advance the field. Common themes include leveraging edge computing for sensing applications and addressing resource utilisation and management challenges. The workshop stimulated valuable discussion and collaboration around these important research directions.
Опис: Adamov, A., Mehdiyev, S. and Seyidzade, E., 2014. Good practice of data modeling and database design for UMIS. Course registration system implementation. 2014 IEEE 8th International Conference on Application of Information and Communication Technologies (AICT). pp.1–4. Available from: https://doi.org/10.1109/ICAICT.2014.7035949. DOI: https://doi.org/10.1109/ICAICT.2014.7035949 Ahmed, Z., Shanto, S.S. and Jony, A.I., 2023. Advancement in Bangla Sentiment Analysis: A Comparative Study of Transformer-Based and Transfer Learning Models for E-commerce Sentiment Classification. Journal of Information Systems Engineering and Business Intelligence, 9(2), p.181–194. Available from: https://doi.org/10.20473/jisebi.9.2.181-194. DOI: https://doi.org/10.20473/jisebi.9.2.181-194 Ahvar, E., Ahvar, S., Raza, S.M., Manuel Sanchez Vilchez, J. and Lee, G.M., 2021. Next Generation of SDN in Cloud-Fog for 5G and Beyond-Enabled Applications: Opportunities and Challenges. Network, 1(1), pp.28–49. Available from: https://doi.org/10.3390/network1010004. DOI: https://doi.org/10.3390/network1010004 Bae, J. and Moon, B., 2009. Time synchronization with fast asynchronous diffusion in wireless sensor network. 2009 International Conference on Cyber-Enabled Distributed Computing and Knowledge Discovery. pp.82–85. Available from: https://doi.org/10.1109/CYBERC.2009.5342158. DOI: https://doi.org/10.1109/CYBERC.2009.5342158 Balyk, N., Leshchuk, S. and Yatsenyak, D., 2023. Design and implementation of an IoT-based educational model for smart homes: a STEM approach. Journal of Edge Computing, 2(2), p.148–162. Available from: https://doi.org/10.55056/jec.632. DOI: https://doi.org/10.55056/jec.632 Cariow, A. and Cariowa, G., 2023. Fast Algorithms for Deep Octonion Networks. IEEE Transactions on Neural Networks and Learning Systems, 34(1), pp.543–548. Available from: https://doi.org/10.1109/TNNLS.2021.3124131. DOI: https://doi.org/10.1109/TNNLS.2021.3124131 Cariow, A., Papliński, J. and Majorkowska-Mech, D., 2019. Some Structures of Parallel VLSI-Oriented Processing Units for Implementation of Small Size Discrete Fractional Fourier Transforms. Electronics, 8(5), p.509. Available from: https://doi.org/10.3390/electronics8050509. DOI: https://doi.org/10.3390/electronics8050509 Chen, K., Yao, L., Wang, X., Zhang, D., Gu, T., Yu, Z. and Yang, Z., 2018. Interpretable Parallel Recurrent Neural Networks with Convolutional Attentions for Multi-Modality Activity Modeling. 2018 International Joint Conference on Neural Networks (IJCNN). pp.1–8. Available from: https://doi.org/10.1109/IJCNN.2018.8489767. DOI: https://doi.org/10.1109/IJCNN.2018.8489767 Cogent Infotech, 2024. 2024 Predictions: Mass Migration From The Cloud To The Edge. Available from: https://www.cogentinfo.com/resources/2024-predictions-mass-migration-from-the-cloud-to-the-edge. De Renzis, A., Garriga, M., Flores, A., Cechich, A. and Zunino, A., 2016. Case-based Reasoning for Web Service Discovery and Selection. Electronic Notes in Theoretical Computer Science, 321, pp.89–112. CLEI 2015, the XLI Latin American Computing Conference. Available from: https://doi.org/10.1016/j.entcs.2016.02.006. DOI: https://doi.org/10.1016/j.entcs.2016.02.006 Derbentsev, V., Semerikov, S., Serdyuk, O., Solovieva, V. and Soloviev, V., 2020. Recurrence based entropies for sustainability indices. E3S Web of Conferences, 166, p.13031. Available from: https://doi.org/10.1051/e3sconf/202016613031. DOI: https://doi.org/10.1051/e3sconf/202016613031 Dighriri, M., Saeed Dayem Alfoudi, A., Myoung Lee, G., Baker, T. and Pereira, R., 2018. Resource Allocation Scheme in 5G Network Slices. 2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). pp.275–280. Available from: https://doi.org/10.1109/WAINA.2018.00098. DOI: https://doi.org/10.1109/WAINA.2018.00098 Dong, M., Yao, L., Wang, X., Benatallah, B., Sheng, Q.Z. and Huang, H., 2018. DUAL: A Deep Unified Attention Model with Latent Relation Representations for Fake News Detection. In: H. Hacid, W. Cellary, H. Wang, H.Y. Paik and R. Zhou, eds. Web Information Systems Engineering – WISE 2018. Cham: Springer International Publishing, pp.199–209. Available from: https://doi.org/10.1007/978-3-030-02922-7_14. DOI: https://doi.org/10.1007/978-3-030-02922-7_14 Ganbayev, A. and Seyidzade, E., 2023. Enhancing Customs Fraud Detection: A Comparative Study of Methods for Performance Measurement and Feature Improvement. 2023 IEEE 17th International Conference on Application of Information and Communication Technologies (AICT). pp.1–5. Available from: https://doi.org/10.1109/AICT59525.2023.10313153. DOI: https://doi.org/10.1109/AICT59525.2023.10313153 Hrechuk, A., Bushlya, V., Ståhl, J.E. and Kryzhanivskyy, V., 2021. Novel metric “Implenarity” for characterization of shape and defectiveness: The case of CFRP hole quality. Composite Structures, 265, p.113722. Available from: https://doi.org/10.1016/j.compstruct.2021.113722. DOI: https://doi.org/10.1016/j.compstruct.2021.113722 Kertész, A. and Kacsuk, P., 2007. A Taxonomy of Grid Resource Brokers. In: P. Kacsuk, T. Fahringer and Z. Németh, eds. Distributed and Parallel Systems. Boston, MA: Springer US, pp.201–210. Available from: https://doi.org/10.1007/978-0-387-69858-8_20. DOI: https://doi.org/10.1007/978-0-387-69858-8_20 Kiv, A., Soloviev, V., Semerikov, S., Danylchuk, H., Kibalnyk, L. and Matviychuk, A., 2019. Experimental economics and machine learning for prediction of emergent economy dynamics. CEUR Workshop Proceedings, 2422, pp.1–4. Available from: https://ceur-ws.org/Vol-2422/paper00.pdf. DOI: https://doi.org/10.31812/123456789/3209 Klochko, O.V., Fedorets, V.M., Mazur, M.V. and Liulko, Y.P., 2023. An IoT system based on open APIs and geolocation for human health data analysis. CTE Workshop Proceedings, 10, p.399–413. Available from: https://doi.org/10.55056/cte.567. DOI: https://doi.org/10.55056/cte.567 Klymenko, M.V. and Striuk, A.M., 2023. Design and implementation of an edge computing-based GPS tracking system. Journal of Edge Computing, 2(2), p.175–189. Available from: https://doi.org/10.55056/jec.634. DOI: https://doi.org/10.55056/jec.634 Korenivska, O.L., Benedytskyi, V.B., Andreiev, O.V. and Medvediev, M.G., 2023. A system for monitoring the microclimate parameters of premises based on the Internet of Things and edge devices. Journal of Edge Computing, 2(2), p.125–147. Available from: https://doi.org/10.55056/jec.614. DOI: https://doi.org/10.55056/jec.614 Kostakos, V., Nicolai, T., Yoneki, E., O’Neill, E., Kenn, H. and Crowcroft, J., 2009. Understanding and measuring the urban pervasive infrastructure. Personal and Ubiquitous Computing, 13(5), pp.355–364. Available from: https://doi.org/10.1007/s00779-008-0196-1. DOI: https://doi.org/10.1007/s00779-008-0196-1 Krak, I., Barmak, O., Manziuk, E. and Kulias, A., 2020. Data Classification Based on the Features Reduction and Piecewise Linear Separation. In: P. Vasant, I. Zelinka and G.W. Weber, eds. Intelligent Computing and Optimization. Cham: Springer International Publishing, pp.282–289. Available from: https://doi.org/10.1007/978-3-030-33585-4_28. DOI: https://doi.org/10.1007/978-3-030-33585-4_28 Krak, Y., Barmak, O. and Mazurets, O., 2018. The practice implementation of the information technology for automated definition of semantic terms sets in the content of educational materials. In: I. Sergienko and P. Andon, eds. Proceedings of the 11th International Conference of Programming UkrPROG 2018, Kyiv, Ukraine, May 22-24, 2018. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2139, pp.245–254. Available from: http://ceur-ws.org/Vol-2139/245-254.pdf. Kukharchuk, R.P., Vakaliuk, T.A., Zaika, O.V., Riabko, A.V. and Medvediev, M., 2022. Implementation of STEM learning technology in the process of calibrating an NTC thermistor and developing an electronic thermometer based on it. In: S. Papadakis, ed. Joint Proceedings of the 10th Illia O. Teplytskyi Workshop on Computer Simulation in Education, and Workshop on Cloud-based Smart Technologies for Open Education (CoSinEi and CSTOE 2022) co-located with ACNS Conference on Cloud and Immersive Technologies in Education (CITEd 2022), Kyiv, Ukraine, December 22, 2022. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3358, pp.39–52. Available from: https://ceur-ws.org/Vol-3358/paper25.pdf. Kulykovska, N.A., Timenko, A.V., Hrushko, S.S. and Shkarupylo, V.V., 2024. Automated Internet of Things system for monitoring indoor air quality. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.97–104. Available from: https://ceur-ws.org/Vol-3666/paper15.pdf. Lee, H., Moon, B. and Aghvami, A.H., 2008. Enhanced SIP for Reducing IMS Delay under WiFi-to-UMTS Handover Scenario. 2008 The Second International Conference on Next Generation Mobile Applications, Services, and Technologies. pp.640–645. Available from: https://doi.org/10.1109/NGMAST.2008.63. DOI: https://doi.org/10.1109/NGMAST.2008.63 Lobanchykova, N., Kredentsar, S., Pilkevych, I. and Medvediev, M., 2021. Information technology for mobile perimeter security systems creation. Journal of Physics: Conference Series, 1840(1), p.012022. Available from: https://doi.org/10.1088/1742-6596/1840/1/012022. DOI: https://doi.org/10.1088/1742-6596/1840/1/012022 Lobanchykova, N.M., Pilkevych, I.A. and Korchenko, O., 2021. Analysis of attacks on components of IoT systems and cybersecurity technologies. In: S.O. Semerikov, ed. Joint Proceedings of the Workshops on Quantum Information Technologies and Edge Computing (QuaInT+doors 2021), Zhytomyr, Ukraine, April 11, 2021. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2850, pp.83–96. Available from: http://ceur-ws.org/Vol-2850/paper6.pdf. Lobanchykova, N.M., Pilkevych, I.A. and Korchenko, O., 2022. Analysis and protection of IoT systems: Edge computing and decentralized decision-making. Journal of Edge Computing, 1(1), p.55–67. Available from: https://doi.org/10.55056/jec.573. DOI: https://doi.org/10.55056/jec.573 Lorido-Botran, T. and Bhatti, M.K., 2022. ImpalaE: Towards an optimal policy for efficient resource management at the edge. Journal of Edge Computing, 1(1), p.43–54. Available from: https://doi.org/10.55056/jec.572. DOI: https://doi.org/10.55056/jec.572 Milano, F., Maggi, E. and Rosselli del Turco, M., 2000. Evaluation of the Effect of a Quality Control Programme in Mammography on Technical and Exposure Parameters. Radiation Protection Dosimetry, 90(1-2), pp.263–266. Available from: https://doi.org/10.1093/oxfordjournals.rpd.a033134. DOI: https://doi.org/10.1093/oxfordjournals.rpd.a033134 Mishra, B., Mishra, B. and Kertesz, A., 2021. Stress-Testing MQTT Brokers: A Comparative Analysis of Performance Measurements. Energies, 14(18), p.5817. Available from: https://doi.org/10.3390/en14185817. DOI: https://doi.org/10.3390/en14185817 Moreno, M., Andersson, J.M., M’Saoubi, R., Kryzhanivskyy, V., Johansson-Jöesaar, M.P., Johnson, L.J.S., Odén, M. and Rogström, L., 2023. Adhesive wear of TiAlN coatings during low speed turning of stainless steel 316L. Wear, 524-525, p.204838. Available from: https://doi.org/10.1016/j.wear.2023.204838. DOI: https://doi.org/10.1016/j.wear.2023.204838 Morozov, A.V., Vakaliuk, T.A., Tolstoy, I.A., Kubrak, Y.O. and Medvediev, M.G., 2023. Digitalization of thesis preparation life cycle: a case of Zhytomyr Polytechnic State University. In: T.A. Vakaliuk, V.V. Osadchyi and O.P. Pinchuk, eds. Proceedings of the 2nd Workshop on Digital Transformation of Education (DigiTransfEd 2023) co-located with 18th International Conference on ICT in Education, Research and Industrial Applications (ICTERI 2023), Ivano-Frankivsk, Ukraine, September 18-22, 2023. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3553, pp.142–154. Available from: https://ceur-ws.org/Vol-3553/paper14.pdf. Muldoon, C., O’Hare, G.M.P., O’Grady, M.J. and Tynan, R., 2008. Agent Migration and Communication in WSNs. 2008 Ninth International Conference on Parallel and Distributed Computing, Applications and Technologies. pp.425–430. Available from: https://doi.org/10.1109/PDCAT.2008.58. DOI: https://doi.org/10.1109/PDCAT.2008.58 Nikitchuk, T., 2015. Devising an information system for the analysis of pulse signals. Eastern-European Journal of Enterprise Technologies, 5(9), pp.19–23. Available from: https://doi.org/10.15587/1729-4061.2015.51219. DOI: https://doi.org/10.15587/1729-4061.2015.51219 Nikitchuk, T.M., Andreiev, O.V., Korenivska, O.L. and Medvediev, M.G., 2023. Model of an automated biotechnical system for analyzing pulseograms as a kind of edge devices. Journal of Edge Computing, 2(1), p.64–83. Available from: https://doi.org/10.55056/jec.627. DOI: https://doi.org/10.55056/jec.627 Nikitchuk, T.M., Vakaliuk, T.A., Andreiev, O.V., Korenivska, O.L., Osadchyi, V.V. and Medvediev, M.G., 2022. Mathematical model of the base unit of the biotechnical system as a type of edge devices. Journal of Physics: Conference Series, 2288(1), p.012004. Available from: https://doi.org/10.1088/1742-6596/2288/1/012004. DOI: https://doi.org/10.1088/1742-6596/2288/1/012004 Nikitchuk, T.M., Vakaliuk, T.A., Chernysh, O.A., Korenivska, O.L., Martseva, L.A. and Osadchyi, V.V., 2022. Non-contact photoplethysmographic sensors for monitoring students’ cardiovascular system functional state in an IoT system. Journal of Edge Computing, 1(1), p.17–28. Available from: https://doi.org/10.55056/jec.570. DOI: https://doi.org/10.55056/jec.570 Pacini, S., Ruggiero, M., Casamassima, F., Santucci, M., Milano, F., Ranaldi, I., Vanni, S. and Giachetti, E., 1995. Study of second messenger levels and of sugar catabolism enzyme activities in transformed cells resistant to ionizing radiations. Biochemistry and Molecular Biology International, 37(1), p.81 – 88. Petrosian, A.R., Petrosian, R.V. and Svintsytska, O., 2024. Test platform for Simulation-In-Hardware of unmanned aerial vehicle on-board computer. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.76–84. Available from: https://ceur-ws.org/Vol-3666/paper12.pdf. Petrosian, A.R., Petrosyan, R.V., Pilkevych, I.A. and Graf, M.S., 2023. Efficient model of PID controller of unmanned aerial vehicle. Journal of Edge Computing, 2(2), p.104–124. Available from: https://doi.org/10.55056/jec.593. DOI: https://doi.org/10.55056/jec.593 Pilkevych, I.A., Bespalko, I.A., Naumchak, L.M. and Pekariev, D.V., 2024. An analysis of approach to the features of satellites classification determining based on modeling of linguistic variables and membership functions. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.52–59. Available from: https://ceur-ws.org/Vol-3666/paper07.pdf. Pilkevych, I.A., Fedorchuk, D.L., Romanchuk, M.P. and Naumchak, O.M., 2023. Approach to the fake news detection using the graph neural networks. Journal of Edge Computing, 2(1), p.24–36. Available from: https://doi.org/10.55056/jec.592. DOI: https://doi.org/10.55056/jec.592 Riabko, A.V., Vakaliuk, T.A., Zaika, O.V., Kukharchuk, R.P. and Kontsedailo, V.V., 2023. Chatbot algorithm for solving physics problems. 3553, pp.75–92. Available from: https://ceur-ws.org/Vol-3553/paper5.pdf. Riabko, A.V., Vakaliuk, T.A., Zaika, O.V., Kukharchuk, R.P. and Kontsedailo, V.V., 2023. Cluster fault tolerance model with migration of virtual machines. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 3rd Edge Computing Workshop, Zhytomyr, Ukraine, April 7, 2023. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3374, pp.23–40. Available from: https://ceur-ws.org/Vol-3374/paper02.pdf. Riabko, A.V., Vakaliuk, T.A., Zaika, O.V., Kukharchuk, R.P. and Kontsedailo, V.V., 2023. Investigating the effect of virtual machine migration accounting on reliability using a cluster model. Journal of Edge Computing, 2(1), p.37–63. Available from: https://doi.org/10.55056/jec.585. DOI: https://doi.org/10.55056/jec.585 Riabko, A.V., Vakaliuk, T.A., Zaika, O.V., Kukharchuk, R.P. and Kontsedailo, V.V., 2024. Edge computing applications: using a linear MEMS microphone array for UAV position detection through sound source localization. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.14–36. Available from: https://ceur-ws.org/Vol-3666/paper02.pdf. Rozlomii, I., Yarmilko, A. and Naumenko, S., 2024. Data security of IoT devices with limited resources: challenges and potential solutions. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.85–96. Available from: https://ceur-ws.org/Vol-3666/paper13.pdf. Ryabko, A.V., Zaika, O.V., Kukharchuk, R.P. and Vakaliuk, T.A., 2022. Graph theory methods for fog computing: A pseudo-random task graph model for evaluating mobile cloud, fog and edge computing systems. Journal of Edge Computing, 1(1), p.1–16. Available from: https://doi.org/10.55056/jec.569. DOI: https://doi.org/10.55056/jec.569 Semerikov, S.O., Chukharev, S.M., Sakhno, S.I., Striuk, A.M., Iatsyshin, A.V., Klimov, S.V., Osadchyi, V.V., Vakaliuk, T.A., Nechypurenko, P.P., Bondarenko, O.V. and Danylchuk, H.B., 2022. 3rd International Conference on Sustainable Futures: Environmental, Technological, Social and Economic Matters. IOP Conference Series: Earth and Environmental Science, 1049(1), p.011001. Available from: https://doi.org/10.1088/1755-1315/1049/1/011001. DOI: https://doi.org/10.1088/1755-1315/1049/1/011001 Semerikov, S.O., Striuk, A.M., Vakaliuk, T.A. and Morozov, A., 2021. Quantum information technology on the Edge. In: S.O. Semerikov, ed. Joint Proceedings of the Workshops on Quantum Information Technologies and Edge Computing (QuaInT+doors 2021), Zhytomyr, Ukraine, April 11, 2021. CEUR-WS.org, CEUR Workshop Proceedings, vol. 2850, pp.1–15. Available from: http://ceur-ws.org/Vol-2850/paper0.pdf. DOI: https://doi.org/10.31812/123456789/4366 Serral, E., Valderas, P. and Pelechano, V., 2008. A Model Driven Development Method for Developing Context-Aware Pervasive Systems. In: F.E. Sandnes, Y. Zhang, C. Rong, L.T. Yang and J. Ma, eds. Ubiquitous Intelligence and Computing. Berlin, Heidelberg: Springer, pp.662–676. Available from: https://doi.org/10.1007/978-3-540-69293-5_52. DOI: https://doi.org/10.1007/978-3-540-69293-5_52 Serral, E., Valderas, P. and Pelechano, V., 2015. Addressing the evolution of automated user behaviour patterns by runtime model interpretation. Software & Systems Modeling, 14(4), pp.1387–1420. Available from: https://doi.org/10.1007/s10270-013-0371-3. DOI: https://doi.org/10.1007/s10270-013-0371-3 Shanto, S.S., Ahmed, Z. and Jony, A.I., 2023. PAIGE: A generative AI-based framework for promoting assignment integrity in higher education. STEM Education, 3(4), pp.288–305. Available from: https://doi.org/10.3934/steme.2023018. DOI: https://doi.org/10.3934/steme.2023018 Shapovalov, Y.B., Bilyk, Z.I., Usenko, S.A., Shapovalov, V.B., Postova, K.H., Zhadan, S.O. and Antonenko, P.D., 2023. Harnessing personal smart tools for enhanced STEM education: exploring IoT integration. Educational Technology Quarterly, 2023(2), p.210–232. Available from: https://doi.org/10.55056/etq.604. DOI: https://doi.org/10.55056/etq.604 Shvaika, D.I., Shvaika, A.I. and Artemchuk, V.O., 2024. Data serialization protocols in IoT: problems and solutions using the ThingsBoard platform as an example. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.70–75. Available from: https://ceur-ws.org/Vol-3666/paper11.pdf. Smolij, V.M., Smolij, N.V. and Sayapin, S.P., 2024. Search and classification of objects in the zone of reservoirs and coastal zones. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.37–51. Available from: https://ceur-ws.org/Vol-3666/paper04.pdf. Survadevara, N.K., Mukhopadhyay, S.C. and Rayudu, R.K., 2012. Applying SARIMA time series to forecast sleeping activity for wellness model of elderly monitoring in smart home. 2012 Sixth International Conference on Sensing Technology (ICST). pp.157–162. Available from: https://doi.org/10.1109/ICSensT.2012.6461661. DOI: https://doi.org/10.1109/ICSensT.2012.6461661 Suryadevara, J., Sunil, B. and Suryadevara, N.K., 2013. Secured multimedia authentication system for wireless sensor network data related to Internet of Things. Seventh International Conference on Sensing Technology, ICST 2013, Wellington, New Zealand, December 3-5, 2013. IEEE, pp.109–115. Available from: https://doi.org/10.1109/ICSENST.2013.6727625. DOI: https://doi.org/10.1109/ICSensT.2013.6727625 Talaver, O.V. and Vakaliuk, T.A., 2023. Reliable distributed systems: review of modern approaches. Journal of Edge Computing, 2(1), p.84–101. Available from: https://doi.org/10.55056/jec.586. DOI: https://doi.org/10.55056/jec.586 Tkachuk, A.G., Hrynevych, M.S., Vakaliuk, T.A., Chernysh, O.A. and Medvediev, M.G., 2023. Edge computing in environmental science: automated intelligent robotic platform for water quality assessment. Journal of Edge Computing, 2(2), p.163–174. Available from: https://doi.org/10.55056/jec.633. DOI: https://doi.org/10.55056/jec.633 Uzdenov, T.A., 2022. A new approach for dispatching task flows in GRID systems with inalienable resources. Journal of Edge Computing, 1(1), p.68–80. Available from: https://doi.org/10.55056/jec.574. DOI: https://doi.org/10.55056/jec.574 Vakaliuk, T., Antoniuk, D., Morozov, A., Medvedieva, M. and Medvediev, M., 2020. Green IT as a tool for design cloud-oriented sustainable learning environment of a higher education institution. E3S Web of Conferences, 166, p.10013. Available from: https://doi.org/10.1051/e3sconf/202016610013. DOI: https://doi.org/10.1051/e3sconf/202016610013 Vakaliuk, T.A., Andreiev, O.V., Dubyna, O.F., Korenivska, O.L. and Andreieva, Y.O., 2024. Wireless technologies in IoT projects with distributed computing. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.4–13. Available from: https://ceur-ws.org/Vol-3666/paper01.pdf. Vakaliuk, T.A. and Semerikov, S.O., 2023. Introduction to doors Workshops on Edge Computing (2021-2023). Journal of Edge Computing, 2(1), p.1–22. Available from: https://doi.org/10.55056/jec.618. DOI: https://doi.org/10.55056/jec.618 Vakaliuk, T.A. and Semerikov, S.O., 2023. Preface. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 3rd Edge Computing Workshop, Zhytomyr, Ukraine, April 7, 2023. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3374, pp.1–8. Available from: https://ceur-ws.org/Vol-3374/preface.pdf. Vakaliuk, T.A. and Semerikov, S.O., 2024. Preface. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.1–3. Available from: https://ceur-ws.org/Vol-3666/paper00.pdf. Vakaliuk, T.A., Shevchuk, L.D. and Shevchuk, B.V., 2020. Possibilities of using AR and VR technologies in teaching mathematics to high school students. Universal Journal of Educational Research, 8(11B), pp.6280–6288. Available from: https://doi.org/10.13189/ujer.2020.082267. DOI: https://doi.org/10.13189/ujer.2020.082267 Voievodin, Y.V. and Rozlomii, I.O., 2024. Advanced software framework for comparing balancing strategies in container orchestration systems. In: T.A. Vakaliuk and S.O. Semerikov, eds. Proceedings of the 4th Edge Computing Workshop (doors 2024), Zhytomyr, Ukraine, April 5, 2024. CEUR-WS.org, CEUR Workshop Proceedings, vol. 3666, pp.60–69. Available from: https://ceur-ws.org/Vol-3666/paper09.pdf. Wan, J., Byrne, C.A., O’Grady, M.J. and O’Hare, G.M.P., 2015. Managing Wandering Risk in People With Dementia. IEEE Transactions on Human-Machine Systems, 45(6), pp.819–823. Available from: https://doi.org/10.1109/THMS.2015.2453421. DOI: https://doi.org/10.1109/THMS.2015.2453421 Yoneki, E. and Bacon, J., 2005. Unified Semantics for Event Correlation over Time and Space in Hybrid Network Environments. In: R. Meersman and Z. Tari, eds. On the Move to Meaningful Internet Systems 2005: CoopIS, DOA, and ODBASE. Berlin, Heidelberg: Springer, pp.366–384. Available from: https://doi.org/10.1007/11575771_24. DOI: https://doi.org/10.1007/11575771_24 Zunino, A. and Campo, M., 2009. Chronos: A multi-agent system for distributed automatic meeting scheduling. Expert Systems with Applications, 36(3, Part 2), pp.7011–7018. Available from: https://doi.org/10.1016/j.eswa.2008.08.024. DOI: https://doi.org/10.1016/j.eswa.2008.08.024
URI (Уніфікований ідентифікатор ресурсу): https://acnsci.org/journal/index.php/jec/article/view/747
http://ds.knu.edu.ua/jspui/handle/123456789/5487
ISSN: 2837-181X
Розташовується у зібраннях:Кафедра професійної та соціально-гуманітарної освіти

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