This book presents the proceedings of the 10th International Conference on Mobile Wireless Middleware, Operating Systems and Applications (MOBILWARE 2021), held virtually in a live stream. The papers included contribute to organized topics of 5G wireless communication, wireless sensor networks, knowledge extraction, instantaneous availability, complex networks, computer vision for mobile application, and mobile support robots. The research presents both theoretically and experimentally based topics. The work particularly benefits researchers, graduate students, and engineers who are interested in related technique improvement ranging from communication middleware and operating systems to networking protocols and applications.
- Presents the proceedings of the 10th International Conference on Mobile Wireless Middleware, Operating Systems and Applications (MOBILWARE 2021);
- Topics include 5G wireless communication, wireless sensor networks, knowledge extraction, and instantaneous availability;
- Relevant to researchers, students, and engineers involved in wireless technology and its applications.
Introduction.- Human Behavior Estimation Using Micro-vibration Sensor
Based on Deep Boltzmann Machine.- Topological Tracking for Mobility Support
Robots Based on Multi-scale Batch-Learning Growing Neural Gas.- An Improved
Computational Method for Solving Partial Differential Equation Arising from
Communication Engineering.- Bibliographic Analysis of The Capacity and
Applicability of Li-Fi Networks.- Layered-MAC: An Energy-Protected and
Efficient Protocol for Wireless Sensor Networks.- Study on Urban Travel
Volume during The Outbreak of COVID-19.- A Review of Additive Manufacturing
(3D Printing) in Aerospace.- Instantaneous Availability Analysis of
Maintenance Process Based on Semi-Markov Model.- A Survey of Techniques for
Constructing Mongolian Domain-specific Knowledge Graph.- Mongolian Word
Segmentation Based on BiLSTM-CNN-CRF Model.- A SEIR Model of Public Opinion
Dissemination in Complex Network with Information Screening Mechanism.-
Safety Helmet Wearing Recognition Based onYOLOv5.- Conclusion.
Dr Dalai Tang graduated from the Hannan University (Osaka, Japan) with bachelors degrees in management information. He then obtained his master's and doctors degree at Tokyo Metropolitan University in Japan. He is currently a lecturer of Inner Mongolia University of Finance and economics. Research interests include smart space, Internet of things, smart home, etc. Applied research includes intelligent elderly care, intelligent animal husbandry, intelligent agriculture, etc. Before his current position, he was a visiting scholar of the school of computing, the University of Portsmouth, UK. Senior engineer of Transcosmos Information Creative Japan Inc. As an early career researcher, he has published more than 30 peer-reviewed papers and editorial volumes in his interested research area. He had organized a few special sessions and workshops at MOBILWARE 2020-2021, ICRA 2019. Reviewer of conference papers in IROS,ICRA,ICRRI and related fields.
Dr Joni Zhong graduated from the South China University of Technology (Guangzhou, China) with double bachelors degrees in control science and computer science. He then obtained his MPhil at The Hong Kong Polytechnic University and PhD at the University of Hamburg, Germany. Before returning to PolyU, he had been a researcher at the University of Hertfordshire (UK), the University of Plymouth (UK), Waseda University (Japan), the National Institute of Advanced Industrial Science and Technology (Japan), etc, where he established close interdisciplinary collaborations with researchers in neuroscience, cognitive sciences and philosophy from the EU, Japan and the UK. Dr Zhong had received a 3-year Marie-Curie fellowship for his PhD study. He had also received such awards as the Best Student Paper at ICANN 2011, the Best Theory Paper at ICMIC 2017 and the Best Paper Nomination at Cyber 2019. He had organised a few special sessions and workshops at IEEE SMC 2020, IEEE ICDL-EpiRob 2020, ICIRA 2019, etc, and been a guesteditor of several journals such as IEEE Transactions on Cognitive and Developmental Systems, Interaction Studies, Journal of Ambient Intelligence and Humanized Computing, etc.
Dr Dalin Zhou is currently a Senior Lecturer with the School of Computing, the University of Portsmouth, UK. His current research interests include wearable sensing and analysis, assistive robotics, rehabilitation intelligence, human behaviour analysis, human machine interaction and multimodal sensor fusion. His current research contributes to the monitoring and rehabilitation of human motor function, improving the daily life activity and working capability for both the disadvantaged group of limb-impaired patients and the aging community using multimodal sensing technology of electromyography and ultrasound, computational intelligence and machine learning algorithms for physiological signal analysis. As an early career researcher, he has published more than 50 peer-reviewed papers and editorial volumes in his interested research area. He has led the research projects funded by EU Commission, European Regional Development Fund, Daiwa Anglo-Japanese Foundation as the Principal Investigator and Co-Investigator. He has served as a lead guest editor for International Journal of Humanoid Robotics (IF:1.616) and Sensors (IF:3.576).
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