7th EAI International Conference on Robotic Sensor Networks (eBook, PDF)

EAI ROSENET 2023
Redaktion: Gül, Ömer Melih; Kadry, Seifedine Nimer; Fiorini, Paolo

• Format: PDF

Produktbeschreibung

This book presents the proceedings of the 7th EAI International Conference on Robotics and Networks 2023 (EAI ROSENET 2023). The conference explores the integration of networks, communications, and robotic technologies, which has become a topic of increasing interest for both researchers and developers from academic fields and industries worldwide. The authors posit that big networks will be the main approach to the next generation of robotic research, with the explosive number of communications and networks models and increasing computational power of computers significantly extending the number of potential applications for robotic technologies while also bringing new challenges to the communications and networking community. The conference provided a platform for researchers to share up-to-date scientific achievements in this field. The conference takes place at Bahcesehir University, Istanbul, Türkiye on 15-16 December 2023.

• Presents the proceedings from 7th EAI International Conference on Robotic Sensor Networks (ROSENET 2023);
• Features papers on topics ranging from robotics in medicine to robotics in rescue and surveillance;
• Includes perspectives from a multi-disciplinary selection of global researchers, academics, and professionals.

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Produktdetails

• Verlag: Springer International Publishing
• Seitenzahl: 208
• Erscheinungstermin: 19. August 2024
• Englisch
• ISBN-13: 9783031644955
• Artikelnr.: 71471897

Autorenporträt

Assoc.Prof.Dr. Ömer Melih Gül,Informatics Institute,Istanbul Technical University, Türkiye Ömer Melih Gül (S'17, M'21, SM'24), received his bachelor's, master's and doctoral degrees from the Department of Electrical and Electronics Engineering at Middle East Technical University (METU) in 2012, 2014 and 2020, respectively. During this time, he worked as a research assistant in the same department. His research interests include machine learning applications, wireless security, networking, scheduling, routing, Internet of Things, UAV, robotics and blockchain. His international publications include 16 journal articles, 19 conference papers and 4 book chapters, while his national publications include 5 journal articles and 4 conference papers. His work on energy harvesting wireless sensor networks has been awarded the third prize in the 2019 Lance Stafford Larson Outstanding Student Paper Award by the IEEE Computer Society on a global scale. In addition, his work on UAV-supported robotics and wireless sensor networks came third in the poster competition at the 2021 IEEE Rising Stars Conference. He worked as a postdoctoral researcher at the School of Electrical Engineering and Computer Science at the University of Ottawa in Canada in 2022. In 2022, he received the best conference paper award at the 48th Wireless World Research Forum (WWRF). After working as an assistant professor in the Department of Computer Engineering at Bahcesehir University in 2023, he works as an Associate Professor at the Informatics Institute at Istanbul Technical University, Türkiye. He is an editor at (Springer) Telecommunications Systems, Wireless Networks and Cluster Computing journals. On the IEEE volunteering side, after taking on many important IEEE volunteer roles, he served as the Coordinator of Region 8 (Europe, Middle East and Africa Region) in the IEEE Computer Society from April 2021 to January 2024. He served as a Special Member (Member-at-Large) on the IEEE Computer Society MGA Board in 2023. Since January 2024, he has been the vice president of the Geographical Activities Committee, which coordinates the branches (chapter) of the IEEE Computer Society all over the world. With the IEEE Turkey Young Professionals, which he presided over in 2020-2021, he won the 2021 IEEE Region 8 Outstanding Young Professionals Affinity Group award. He was awarded the 2022 IEEE MGA Young Professionals Achievement Award. In addition, he was awarded the 2022 Outstanding Contribution Certificate and 2024 Continuous Service Certificate from IEEE Computer Society. Prof.Dr. Paolo Fiorini, School of Science and Engineering, University of Verona, Italy Paolo Fiorini, received the Laurea degree in Electronic Engineering from the University of Padova, (Italy), the MSEE from the University of California at Irvine (USA), and the Ph.D. in ME from UCLA (USA). From 1977 to 1985 he worked for companies in Italy and in the USA developing microprocessor-based controllers for domestic appliances, automotive systems, and hydraulic actuators. From 1985 to 2000, he was with NASA Jet Propulsion Laboratory, California Institute of Technology, where he worked on autonomous and teleoperated systems for space experiments and exploration. In 2001 returned to Italy at the School of Science and Engineering at University of Verona (Italy) where is currently Full Professor of Computer Science. In 2001 he founded the ALTAIR robotics laboratory to develop innovative robotic systems for space, medicine, and logistics. Research in these areas have been funded by several National and International projects, including the European Framework programs FP6, FP7, H2020 and ERC. His activities have been recognized by many awards, including IEEE Fellow (2009), and NASA Technical Awards. Prof.Dr. Seifedine Kadry, Noroff University College, Norway Professor Seifedine Kadry has a Bachelor degree in 1999 from Lebanese University, MS degree in 2002 from Reims University (France) and EPFL (Lausanne), PhD in 2007 from Blaise Pascal University (France), HDR degree in 2017 from Rouen University. At present his research focuses on Data Science, education using technology, system prognostics, stochastic systems, and applied mathematics. He is an ABET program evaluator for computing, and ABET program evaluator for Engineering Tech. He is a Fellow of IET, Fellow of IETE, and Fellow of IACSIT. He is a distinguish speaker of IEEE Computer Society.     

Inhaltsangabe

Introduction.- An Intelligent Learning System based on Robotino Mobile Robot Platform.- A Neocognitron Based on Multi-Objective Optimization for Few-Shot Learning.- Milk temperature control system of calf feeding robot based on fuzzy PID.- Bluff: A Multi-Robot Dispersion based on Hybrid Reciprocal Velocity Obstacles to solve the Blind Man's Buff problem.- Factors Influencing the Adoption of Robo Advisory Services: A UnifiedTheory of Acceptance and Use of Technology (UTAUT) Model Approach.- A multi-region feature extraction and fusion strategy based CNN-Attention network for facial expression recognition.- Real Time Surgical Instrument Object Detection using Yolov7.- A Lightweight Blockchain Framework for Visual Homing and Navigation Robots.- Conclusion.