• Smart Society & Edge Computing

  • Although cloud computing is very popular, high-speed, large-capacity mobile devices and wireless networks have recently been deployed in towns and homes. In particular, social computing, where humans are part of computation and decision-making loops, is shifting its execution to the edge of urban space, and edge computing is emerging as a new computation paradigm. We are conducting edge computing-based research aimed at making society smarter.

Optimization of Societal Systems

Cyber Physical Systems (CPS)

Cyber Physical Systems (CPS) are systems featuring tight combination of system’s computational and physical elements. Recently, many CPS systems can be found in areas of automotive, civil infrastructure, energy, healthcare, transportation and consumer appliances. From 2012, National Institute of Informatics (NII), Hokkaido Univ., Osaka Univ. and Kyusyu Univ. have jointly studied Cyber Physical Systems (CPS) research for optimization of societal systems. In our project, we focus on Human centric Cyber Physical System (HCPS) where effects of human activities are taken into consideration for designing and developing CPS based societal systems.

Human-Centric BEMS

We have designed and developed a human tracking system “HITONAVI" that tracks the position and trajectory of indoor pedestrians using laser range sensors, and we have exhibited “HITONAVI” for about 3 years at the facility "The Lab”, Knowledge Capital Exhibit in the large commercial building “Grand Front Osaka" in front of the Osaka station. Simultaneously using the crowd sensing functions of “HITONAVI" and computational fluid simulation technology, the temperature distribution of each floor in the commercial building and the comfort of visitors (PMV: Predicted Mean Vote) are estimated in real time. Based on the obtained temperature distribution and the comfort of visitors, we propose a method to control finer air conditioning considering the degree of congestion and the position of air conditioning equipments.

Edge Computing Paradigm

Along with the development of the Internet (IoT: Internet of Things), a large amount of sensing data has come out from everywhere, and it is becoming difficult to store all these data in the cloud server. For this reason, the concept of "Edge Computing" in which a large number of edge servers are installed close to users, cooperating autonomously and distributedly with each other or cooperating with a cloud server has attracted attention. In order to efficiently process "information flow" in real time by capturing the flow of "diverse and continuous" information contents (spatiotemporal data) as "information flow" and combining it with the next-generation information communication technology.
We are promoting the research of "information flow” based on the edge computing paradigm.

[Selected Publications]
S. Li, Y. Gu, B. Subedi, C. He, Y. Wan, A. Miyaji, T. Higashino: "Beyond Visual Line of Sight UAV Control for Remote Monitoring Using Directional Antennas", Proceedings of 2019 IEEE GLOBECOM Workshops, pp.1-6, 2019.

T. Saki, A. Hiromori, H. Yamaguchi, T. Higashino: "Occlusion-based trajectory estimation for pedestrians using LiDAR sensors", Proceedings of the 10th International Conference on Indoor Positioning and Indoor Navigation (IPIN 2019, Short Papers/Work-in-Progress Papers), pp.400-407, 2019.

S. Choochotkaew, H. Yamaguchi, T. Higashino: "A Self-Organized Task Distribution Framework for Module-Based Event Stream Processing", IEEE Access, Vol.7, pp.6493-6509, 2019.

T. Amano, S. Kajita, H. Yamaguchi, T. Higashino, Mineo Takai: "Smartphone Applications Testbed Using Virtual Reality", Proceedings of the 15th EAI International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MobiQuitous 2018), pp.422-431, 2018.

Y. Hara, A. Uchiyama, T. Umedu, T. Higashino: "Sidewalk-level People Flow Estimation Using Dashboard Cameras Based on Deep Learning", Proceedings of the 11th International Conference on Mobile Computing and Ubiquitous Network (ICMU 2018), pp.1-6, 2018.

K. Ogura, Y. Yamada, S. Kajita, H. Yamaguchi, T. Higashino, Mineo Takai: "Ground Object Recognition from Aerial Image-based 3D Point Cloud", Proceedings of the 11th International Conference on Mobile Computing and Ubiquitous Network (ICMU 2018), pp.1-8, 2018.

S. Choochotkaew, H. Yamaguchi, T. Higashino: "BALANCE: A Robust Routing Protocol in Self-Organized Civilian DTN", Proceedings of the 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob 2018), pp.1-8, 2018.

Y. Fukushima, D. Miura, T. Hamatani, H. Yamaguchi, T. Higashino: "MicroDeep: In-network Deep Learning by Micro-Sensor Coordination for Pervasive Computing", Proceedings of the 2018 IEEE International Conference on Smart Computing (SMARTCOMP 2018), pp.163-170, 2018.

M. Elhamshary, M. Youssef, A. Uchiyama, H. Yamaguchi and T. Higashino: "CrowdMeter: Congestion Level Estimation in Railway Stations Using Smartphones", Proceedings of the 16th IEEE International Conference on Pervasive Computing and Communication (PerCom 2018), pp.1-12, 2018.

S. Choochotkaew, H. Yamaguchi, T. Higashino, Megumi Shibuya and Teruyuki Hasegawa: "EdgeCEP: Fully-distributed Complex Event Processing on IoT Edges", Proceedings of the 13th International Conference on Distributed Computing in Sensor Systems (DCOSS 2017), pp.121-129, 2017.

S. Choochotkaew, H. Yamaguchi and T. Higashino: "Two-tier VoI Prioritization System on Requirement-based Data Streaming toward IoT", Mobile Information Systems, Vol. 2017, Article ID 7892545, 2017.

P. G. Lopez, A. Montresor, D. Epema, A. Datta, T. Higashino, A. Iamnitchi, M. Barcellos, P. Felber, E. Riviere: "Edge-centric Computing: Vision and Challenges", ACM SIGCOMM Computer Communication Review, Volume 45, Issue 5, pp.37-42, 2015.

T. Higuchi, H. Iwahashi, H. Yamaguchi and T. Higashino: "TweetGlue: Leveraging a Crowd Tracking Infrastructure for Mobile Social Augmented Reality", Proc. of Int. Wireless Communications and Mobile Computing Conf. (IWCMC 2015), pp.1030-1035, 2015.

K. Fujita, T. Higuchi, A. Hiromori, H. Yamaguchi, T. Higashino and S. Shimojo: "Human Crowd Detection for Physical Sensing Assisted Geo-Social Multimedia Mining", Proc. of SmartCity2015, pp. 642-647, April 2015.

T. Takafuji, K. Fujita, T. Higuchi, A. Hiromori, H. Yamaguchi and T. Higashino: "Indoor Localization utilizing Tracking Scanners and Motion Sensors", Proc. of IEEE UIC2014, pp.1-8, 2014.

T. Higashino and A. Uchiyama : "A Study for Human Centric Cyber Physical System Based Sensing - Toward Safe and Secure Urban Life - ", Communications in Computer and Information Science, Vol.146, pp.61-70, 2013.

Y. Wada, T. Higuchi, H. Yamaguchi and T. Higashino: "Accurate Positioning of Mobile Phones in a Crowd using Laser Range Scanners", Proc. of the IEEE Wimob2013, pp. 441-446, 2013.

A. Murai, Y. Yamaguchi, Y. Shimoda, T. Kanaya, A. Hiromori, H. Yamaguchi and T. Higashino : "Evaluation of Energy-saving Performance of Office Building Task/Ambient Systems Considering dynamic Worker's Behavior", Proc. of 1st Asia Conf. of Int. Building Performance Simulation Association (ASim), 2012.

A. Hiromori, T. Kanaya, H. Yamaguchi and T. Higashino : "Performance Evaluation of Mobility-Based Energy-Saving", Proc. of 2nd IFIP Conf. on Sustainable Internet and ICT for Sustainability (SustainIT), 2012.

T. Kanaya, A. Hiromori, H. Yamaguchi, T. Higashino : "HumanS: A Human Mobility Sensing Simulator", Proc. of 5th IFIP Int. Conf. on New Technologies, Mobility and Security (NTMS), 2012.