Details of a Researcher

SATOH Makoto

写真a

Affiliation	IWATE University Faculty of Science and Engineering Department of Systems Innovation Engineering Studies in Computer, Intelligence and Media Sciences
Position	Research Associate
Mail Address

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Research Interests 【 display / non-display 】

deep learning
Computer Graphics
small intelligent system

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Graduating School 【 display / non-display 】

　

-

1982.03

Iwate University Faculty of Engineering Other

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Campus Career 【 display / non-display 】

2007.04

-

Now

IWATE University Abolition organization Faculty of Engineering Assistant Professor [Duty]

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External Career 【 display / non-display 】

1984.04

-

1991.10

Technical Support Staff

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Research Areas 【 display / non-display 】

Computer Systems

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Recommended URL 【 display / non-display 】

Computational beauty from Nature

http://blue0.an.cis.iwate-u.ac.jp
C Programming gems

https://blue0.an.cis.iwate-u.ac.jp/cgems/

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Course Subject 【 display / non-display 】

2008

Basic Computer Science
2008

Computer Programming Ⅲ
2008

Computer Programming Ⅱ
2008

Computer Programming Ⅰ
2009

Basic Computer Science

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Research Career 【 display / non-display 】

Study on Deep Learning of Graphical Textures

Periods of research：

2007.04

-

Now

Keywords : Textures, Deep Learning

Style of Research： Individual

Research Program： (not selected)
Study on Computer Graphics

Periods of research：

1991.11

-

Now

Keywords : Textures, Object oriented Graphics

Style of Research： Collaboration in Organization

Research Program： (not selected)
Study on Small Concurrent Programming

Periods of research：

1984.04

-

Now

Keywords : Concurrent programming

Style of Research： Individual

Research Program： (not selected)

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Published Papers 【 display / non-display 】

Introduction to Explainable AI with Linux Shell for Information Engineering Courses

Makoto Satoh

( Information Processing Society of Japan ) 2024-CE-174 ( 21 ) 1 - 8 2024.03

Academic Journal Single Work

As computers and the internet have become important social infrastructure, information literacy and fundamental programming are becoming learned in elementary and secondary education. Advances in deep learning have increased the opportunities of using AI. In response, it is growing demand than ever for the programming education in information related courses at universities to learn about more specialized contents. This paper describes a method for introducing explainable AI (XAI) at information engineering courses. The module developed for the proposed method enables the experiments on XAI with a Linux shell. The main methods for XAI are the methods for providing the explanation and uncertainty of the outputs of AI models. The proposed method visualizes the learning process of deep learning models with the former method.
Introduction to Explainable AI Using Computer with CPU only

Makoto Satoh

1 - 8 2023.12

Others Single Work
Introduction to Explainable AI with Linux Shell

Makoto Satoh

2G01 2023.09

International Conference Proceedings Single Work
Associating Symbols with Diagrams in HTML Using Customized Graphical Components

Makoto Satoh

( Information Processing Society of Japan ) 2023-CE-168 ( 9 ) 1 - 8 2023.02

Academic Journal Single Work

This paper presents a method for associating symbols with diagrams using a proposed method for associating HTML elements. Shape data represented in SVG (Scalable Vector Graphics) format are stored in Associated Components, and then the components behaviors are associated. It is easy to customize for specific Web page contents because the association of the component behaviors are able to defined using the custom attributes of Associated Components in HTML and CSS syntax. The association of the mathematical equations and the illustration diagrams of the formula of circumference and linear regression with automatic differentiation are customized. The improvement of readability with math augmentation is effective for developing educational materials and online presentation.
Visualizing Iterative Linear Regression Using Automatic Differentiation with Graphical Association between Mathematical Symbols and Diagrams

Makoto Satoh

1 - 8 2022.12

Others Single Work