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Laboratory Introduction

Ryosuke Okuda Laboratory

Let’s jump into the world of IoT and Ubiquitous Computing

Laboratory Overview

Invention of internet in 1980s enabled highly reliable communication between the computers of all over the world using unreliable and cheap network. As a result, services of mail, telephone and retail sale were replaced by internet. Further new services such as SNS was enabled. However there still remains a restriction that computer terminal is needed to enjoy services. A technology expressed in a word as IoT (Internet of Things) or Ubiquitous Computing is the technology which links a thing besides the computer terminal to the internet, and realization of newer service is expected by this. The elemental technology with which IoT is supported is studied at our laboratory as well as achieving new service to prove the validity of the elemental technology.

Field of Study / Subjects

IoT and Ubiquitous Computing is based on various elementary technologies such as communication, security and calculation resources. Our laboratory focuses on sensing, recognition and Web based application.
Sensing: A visible problem to achieve IoT is small device size, communication and long life power supply, however those are in a trade-off relation with the precision and frequency of the sensors. For most of use-cases, we do not know the precision and frequency of the sensors are sufficient or not until actual experiments are executed.
Recognition: Sending all the data gathered from the sensors to the server is not realistic in the aspect of the communication channel capacity. Therefore processing of recognition which extract meaningful information from the raw data would be important.
Web Application: “Sensing” and “Recognition” are just elementary technologies. They require application to prove their usefulness.

Methods of Instruction and Research

In the theme of sensing, actual small hardware composed of a set of sensors and a microcomputer and communication method is developed. The purpose is to know the gap between the performance of the current sensing technology and the requirement of an assumed application in the point of sensing precision and frequency.
In the theme of recognition, algorithms which recognize extra