豊橋技術科学大学

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Noda, Toshihiko

Affiliation Electronics-Inspired Interdisciplinary Research Institute(EIIRIS)
Title Associate Professor
Degree Ph. D. (Toyohashi University of Technology)
E-mail noda.toshihiko.zk@
Please append "tut.jp" to the end of the address above.
Laboratory website URL http://int.ee.tut.ac.jp/bio/
Researcher information URL(researchmap) Researcher information

Research

数種類のセンサを集積化したマルチモーダルセンシングシステムは,IoT技術やビッグデータ解析に基づく新たな情報社会基盤における重要要素と位置付けられ,このコンセプトは「ソサエティ5.0」として注目されています。
当研究室では,CMOS/MEMS技術に基づくスマートセンシングシステムに注目し,マルチモーダルセンサの研究を行っています。AI技術を取り入れた機械学習型センシングシステムの開発も,デバイス開発と並行して進めています。

Theme1:Agricultural sensors

Overview

Multi-modal sensing become an important technology in the field of smart agriculture typified as the plant factory. In recent years, there are attempts to measure many items such as nutrients, moisture content, pH, and temperature to optimally control the growth of plants and maximize the productivity of crops. In this laboratory, we are studying sensing devices and systems that measure and visualize the important items, which are nutrients, moisture content, and distribution of various ions for example, by a multimodal measurement.

Theme2:Machine learning-based multimodal sensing

Overview

A novel sensing approach to realize multimodal sensing using machine learning technology to analyze the data measured by combining multiple sensors with different detection characteristics has been studied. We are focused on the realization of simultaneous measurement of multiple ions, multiple gases, and smell sensing by combining AI technology and imaging-based sensors fabricated with CMOS technology.


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