Masakazu Kobayashi

ORCID: 0000-0002-5652-2743
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About
Contact & Profiles
Research Areas
  • Advanced Memory and Neural Computing
  • Neural Networks and Reservoir Computing
  • Neural dynamics and brain function
  • Machine Learning in Materials Science
  • Design Education and Practice
  • Educational Robotics and Engineering
  • Technology Assessment and Management
  • Advanced Materials Characterization Techniques
  • Pharmacy and Medical Practices
  • Service-Oriented Architecture and Web Services
  • Innovation Policy and R&D
  • Educational and Social Studies
  • Electrochemical Analysis and Applications
  • Electron and X-Ray Spectroscopy Techniques
  • Creativity in Education and Neuroscience
  • Software Engineering Techniques and Practices
  • Business Process Modeling and Analysis
  • Team Dynamics and Performance
  • Gas Sensing Nanomaterials and Sensors
  • Manufacturing Process and Optimization
  • Educational Tools and Methods
  • Computational Drug Discovery Methods
  • Education and Technology Integration
  • Ferroelectric and Negative Capacitance Devices
  • Innovation and Knowledge Management

Tokyo University of Science
2023

Daiichi Sankyo (United States)
2020-2023

Nagase ChemteX (Japan)
2020

National Institute of Technology
2019

Herein, a physical reservoir device that uses faradaic currents generated by redox reactions of metal ions in ionic liquids was developed. Synthetic time-series data consisting randomly arranged binary number sequences ("1" and "0") were applied as isosceles-triangular voltage pulses with positive negative heights, respectively, the effects current on short-term memory parity-check task accuracies verified. The signal for first half triangular voltage-pulse period, which contained much...

10.1021/acsami.2c04167 article EN ACS Applied Materials & Interfaces 2022-07-26

Device implementation of reservoir computing, which is expected to enable high-performance data processing in simple neural networks at a low computational cost, an important technology accelerate the use artificial intelligence real-world edge computing domain. Here, we propose ionic liquid-based physical device (IL-PRD), copper cations dissolved IL induce diverse electrochemical current responses. The origin from IL-PRD was investigated spectroscopically detail. After operating under...

10.1021/acsami.3c08638 article EN cc-by ACS Applied Materials & Interfaces 2023-10-10

As the use of IT increases importance with big data and AI, issue power consumption has been highlighted. Under these circumstances, development new materials is more important. Materials Informatics (MI) one hottest technologies in material field, because its potential to reduce time costs discovering innovative materials. To achieve this, key collect that accumulated for many years at research institutions companies, make information extracted from into knowledge. This article introduces...

10.2494/photopolymer.34.41 article EN Journal of Photopolymer Science and Technology 2021-06-11

As the use of IT increases importance with big data and AI, issue power consumption has been highlighted. Under these circumstances, development new materials is more important. Materials Informatics (MI) one hottest technologies in material field, because its potential to reduce time costs discovering innovative materials. To achieve this, key collect that accumulated for many years at research institutions companies, make information extracted from into knowledge. This article introduces...

10.23919/panpacific48324.2020.9059449 article EN 2020-02-01

The aim of this paper is to analyze the results achievement test which was carried out by National Institute Technology in Kure College from 2006 2015. We mainly discuss 2015 using quartiles, and we claim following statements: can improve students’ mathematical literacy test; provide appropriate incentives for students gets better their abilities.

10.4307/jsee.65.3_14 article EN Journal of JSEE 2017-01-01

In this paper, we compare Attainment Test for Mathematics and Engineering (EMaT) carried out by National Institute of Technology, Kure College from 2015 to 2017. We found significant positive correlations between them, implying that academic development mathematics in successfully connects engineering university. However, also approximately half the students do not reach sufficiently high learning level Moreover, differences scores among four departments are be significant. Considering these...

10.4307/jsee.67.2_44 article EN Journal of JSEE 2019-01-01

10.5104/jiep.23.150 article EN Journal of The Japan Institute of Electronics Packaging 2020-02-29

We conducted a reading skill test and surveyed on learning conception for students in National Institute of Technology, Kure College. In this paper, we compare the actual conditions basic comprehension students, investigate necessary knowledge about acquisition mathematical ability. As result, find that, order to acquire academic ability, it is important be able imagine theorems formulas mathematics as concrete things make appropriate corrections when tackling problems mathematics.

10.4307/jsee.68.6_68 article EN Journal of JSEE 2020-01-01

The temperature dependence of intelligent connection (IConnect) devices in which ionic liquid (IL) plays an important role a memristive function is presented this study. appropriate choice IL and dissolved metal ion species can control the volatility IL-IConnect devices. device was strong, although change current-voltage characteristics reversible response to variations. device's potential as physical reservoir-computing studied. (Keywords: Ionic Liquids (IL), Intelligent Connection Device,...

10.1109/edtm53872.2022.9798346 article EN 2022 6th IEEE Electron Devices Technology & Manufacturing Conference (EDTM) 2022-03-06

The temperature dependence of an intelligent connection (IConnect) device, in which ionic liquid (IL) plays essential role a memristive function is presented this study.An appropriate choice IL and dissolved metal ion species can control the volatility IL-IConnect device.The device was strong, although change current-voltage characteristics reversible response to variations.The device's potential as physical reservoir-computing studied.

10.1109/jeds.2022.3199205 article EN cc-by IEEE Journal of the Electron Devices Society 2022-01-01
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