[IoT] Year Started : 2020

Takanori Isobe

Exproring Beyond Symmterty-Key Cryptgraphy for Long-term Security of IOT Devices

Researcher
Takanori Isobe

Professor
Graduate School of Infomation Science
University of Hyogo

Outline

This project explores beyond symmetric-key cryptography that has new properties and new functionalities to achieve the long-term security of edge devices for IoT. Under the assumption that IoT devices are compromised and its memory/execution environment are physically accessible by the adversary, I aim to provide the reasonable level of security. Specifically, I develop technologies that protect the secret key by only software, i.e. without relying on any secure hardware device. Besides, I provide cryptographic primitives that ensure the security even after the secret key is disclosed.

Shunsuke Saruwatari

Radio Spectrum Space API for Integrating Physical and Cyber-space

Researcher
Shunsuke Saruwatari

Associate Professor
Graduate School of Information Science and Technology
Osaka University

Outline

The goal of this project is to connect physical space, where we are living, and cyberspace, where build on computer networks, with radio spectrum space. Specifically, this project develops a radio-spectrum space API module that provides us radio communication, energy supply, and sensing functions simultaneously. By realizing the radio spectrum space API module, we will be able to solve an unsolved problem of the IoT “what should we do with the energy to sense the physical space and get the sensed data into cyberspace?.”

Hiroaki Shiokawa

Fast Algorithms for Multimodal IoT Databases

Researcher
Hiroaki Shiokawa

Associate Professor
Center for Computational Sciences
University of Tsukuba

Outline

The amount of data acquired from IoT devices is continuously increasing. However, the real-time analysis technology for the IoT big data is still underdeveloped because of the severe spatio-temporal constraints such as computing power and memory capacity of the computers that we can use in our daily life. Our research aims to establish a fundamental technology to analyze real-time and multimodal IoT data quickly.

Kiichi Niitsu

Environmental-Adaptive Energy/Data Integrated Management IoT Platform

Researcher
Kiichi Niitsu

Professor
Graduate School of Infomatics
Kyoto University

Outline

For emerging carbon-neutral IoT technologies, next-generation IoT platform which enables environmental-adaptive energy/data integrated management is developed. The IoT platform automonously recognizes availability of energy from its enviornment. Besed on the availability, it optimizes memory, data processing, and encryption. The research will contribute to practical applications through prototyping.

Takayuki Nishio

Machine Learning in/for IoT Networks

Researcher
Takayuki Nishio

Associate Professor
School of Engineering
Tokyo Institute of Technology

Outline

This research aims to develop an IoT infrastructure that provides communication networks and AI data processing integratedly to consume IoT data locally in order to solve the explosive increase in IoT-AI traffic and data privacy. Instead of conventional cloud computing-based data processing, the IoT infrastructure performs AI data processing in a distributed manner within the local network where IoT data is collected for reducing traffic on the core network, improving real-time performance, and greatly reducing the risk of leakage of confidential information.

Kei Hiroi

Next Generation IT based Disaster Mitigation by IoT Federation Platform

Researcher
Kei Hiroi

Associate professor
Disaster Prevention Research Institute
Kyoto University

Outline

This project develops IT based disaster mitigation technology that federates conventional components for disaster prevention. This project aims to achieve progressive and flexibe federation technology between various proprietary components, highly accurate damage prediction by data fusion technology, and to develop a disaster mitigation testbed for future technologies. I will establish a new mechanism that predicts disaster damage in the next few hours in detail and contribute to support the creation of new services/systems, and activate disaster prevention research field.

Akihito Hiromori

Cooperative surveillance system for urban and rural areas using multiple UAVs and LiDARs

Researcher
Akihito Hiromori

Associate Professor
Cybermedia Center
Osaka University

Outline

This project develops a cooperative surveillance system to monitor various infrastructures and activities in urban and rural areas. The system derives cooperative strategies for multiple UAVs to observe the areas efficiently. The system also measures the shapes of infrastructures from points of clouds obtained by LiDARs attached to the UAVs in realtime. The obtained high definition 3D map is useful for predicting and preventing accidents while reducing costs and resource consumption. It also supports operating search and evacuation missions during emergencies in large-scale disasters such as earthquakes and flooding.

Anhvan Ho

TouchIoT: Smart Tangible Sensing Enabler for Tactile Internet

Researcher
Anhvan Ho

Associate Professor
Graduate School for Advanced Science and Technology
Japan Advanced Institute of Science and Technology

Outline

This research’s ultimate goal is to provide a total solution for development of soft sensing interface for the next generation of IoT that promotes physical interaction at various scales with high resolution, efficient codec machine for sharing, context-oriented data structure and AI-based enhancement of cyber-physical space’s behavior in human-related task.

Yuki Matsuda

Perception-aware Participatory IoT Tuning Platform

Researcher
Yuki Matsuda

Assistant Professor
Graduate School of Science and Technology
Nara Institute of Science and Technology

Outline

In future smart cities where various IoTs are widely placed in, data-driven services will make our daily life enrich. Toward realize that, a sustainable IoT platform that can be aware of people’s perception by integrating various kind/accuracy sensors is essential. This project aims to build a novel platform that is able to tune urban IoT sensors utilizing people’s perception (subjective feedback) gathered by participatory sensing.

Shinichi Yamagiwa

Development of High Performance Stream-based Lossless Data Compression

Researcher
Shinichi Yamagiwa

Associate Professor
Faculty of Engineering, Information and Systems
University of Tsukuba

Outline

This project pursues a novel stream-based lossless data compression technology that compresses/decompresses contiguous data stream without any buffering/stalling. The goal of this project is to develop a new hardware architecture for the stream-based data compression by introducing a variable encoding technique and a universal compression mechanism. With employing the new architecture, this project will challenge to not only improving computation/communication performances of IoT systems, but also to reducing power consumption of IoT devices.

Quick Access

Program

  • CREST
  • PRESTO
  • ACT-I
  • ERATO
  • ACT-X
  • ACCEL
  • ALCA
  • RISTEX
  • AIP Network Lab
  • Global Activities
  • Diversity
  • SDGs
  • OSpolicy
  • Yuugu
  • Questions