Page - 142 - in Intelligent Environments 2019 - Workshop Proceedings of the 15th International Conference on Intelligent Environments

Smart Sensing at the Edge for Smart City Applications Hirozumi Yamaguchi Graduate School of Information Science and Technology Osaka University Abstract In Japan, Society 5.0 has been promoted by the government, which aims at integrating cyberspace and physical space to realize better and sophisticated societies, communities, industry and economy. Towards such a society, we need to acquire more information from the physical space for higher level of context recognition and understanding of real- world objects and phenomena, and consequently the number of such sensors will increase and the amount of information which they sense will also increase. Accordingly, the data analysis is conducted in remote locations (e.g. cloud servers) and the data collection cost might be a primary issue. Besides, it would not be ignorable as machine learning generally incurs significant workload at the cloud servers. In this talk, our smart sensing approaches that involve edge computing concept are introduced to show how these approaches address those issues in different smart city applications. Biography Hirozumi Yamaguchi received the B.E., M.E., and Ph.D. degrees in information and computer science from Osaka University, Osaka, Japan in 1994, 1996 and 1998, respectively. He is currently an associate professor at Osaka University. He has been working in mobile and pervasive computing and networking research areas and has published papers in top-quality journals and conferences. He has served on EAI Mobiquitous 2016 as a TPC co-chair, IEEE PerCom 2019 as a TPC vice co-chair, and many IEEE conferences as technical committee members. He was awarded Commendation for Science and Technology by the Minister of Education, Culture, Sports, Science and Technology in 2018. Intelligent Environments 2019 A. Muñoz et al. (Eds.) © 2019 The authors and IOS Press. This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License 4.0 (CC BY-NC 4.0). doi:10.3233/AISE190035 142