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Dive into the research topics where Keisuke Shida is active.

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Featured researches published by Keisuke Shida.


international conference on advances in production management systems | 2013

A Study on the Effect of Inspection Time on Defect Detection in Visual Inspection

Ryosuke Nakajima; Keisuke Shida; Toshiyuki Matsumoto

In order to consider the visual inspection utilizing the peripheral vision, this paper examines the inspection times that affect defect detection. The fixation duration and the distance between defect and the fixation point are experimental factors in determining the inspection time. As the result, in case of a large sized defect, the detection rate is high regardless of the fixation duration and the distance between the defect and the fixation point. In case of a small sized defect, when the fixation duration is longer and the distance between the defect and the fixation point is closer, the defect detection rate is higher. Moreover, as the result of conducting multiple linear regression analysis about the experiment factors, it is obtained that judging from standardized partial regression coefficient of factors, higher defect size, less the distance between defect and the fixation point, the higher fixation duration, is proved to improve the defect detection.


international conference on universal access in human computer interaction | 2009

A Study on Effective Methods of Visual Inspection for Reused-Parts by Inspectors

Toshiyuki Matsumoto; Hideki Shirai; Keisuke Shida

In order to promote recycling in the recycling industry, it is essential that suppliers perform a strict inspection before shipping the products using reused or recycled parts. The industry is facing pressures to further improve and standardize inspection quality and efficiency on recycled parts or products. This study thus developed an effective visual inspection method for products using reused parts by inspectors at Recycling Plant N, for assuring product quality. First, a survey was conducted to investigate the current situation at the subject plant. Secondly, another set of surveys was conducted for the 13 inspectors. The survey included a video analysis, a questionnaire survey analysis, and an analysis of eye movements using an eye-tracker, and after the analyses, the differences were specified. Thirdly, by considering the inspection method and inspection orders used by the experienced inspectors, appropriate inspection items, inspection order, and inspection method could be devised.


Industrial Engineering and Management Systems | 2009

Design of a Method for Disassembly Works on Recycle Products

Toshiyuki Matsumoto; Yuko Yahata; Keisuke Shida


The Japanese Journal of Ergonomics | 2003

A basic study on presentation information using a personal computer for the work instruction in assembly work

Keisuke Shida; Osamu Ichikizaki; Toshiyuki Matsumoto; Takashi Kanazawa


The Japanese Journal of Ergonomics | 2013

A Study on the Effect of Defect Colors on Defect Detection in Peripheral Visual Field during Visual Inspection

Keisuke Shida; Ryosuke Nakajima; Hidenori Koh; Takahiro Ichige


Journal of The Society of Biomechanisms | 2012

A study on the effect of different presentation method on defect detection rate in visual inspection

Ryosuke Nakajima; Keisuke Shida


Industrial Engineering and Management Systems | 2011

Development and Implementation of a Skill Transfer System for a Self-Tapping Screw-Tightening Operation

Toshiyuki Matsumoto; Daisuke Doyo; Keisuke Shida; Takashi Kanazawa


American Journal of Business Education | 2011

A Method For Extracting Sensory Motor Skills And Designing A Training System

Daisuke Doyo; Atushi Ohara; Keisuke Shida; Toshiyuki Matsumoto; Kazuo Otomo


International Journal of Industrial Engineering-theory Applications and Practice | 2014

A Study on the Effect of Irradiation Angle of Light on Defect Detection in Visual Inspection

Ryosuke Nakajima; Keisuke Shida; Toshiyuki Matsumoto


日本経営工学会論文誌 = Journal of Japan Industrial Management Association | 2013

Prevention of Human Error in Screw Tightening Work using Image Analysis : New Approach to Detect the Hand via Finger Configuration

Keisuke Shida; Ryousuke Nakajima; Dominic Joy Poothokaran

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Daisuke Doyo

Aoyama Gakuin University

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Dominic Joy Poothokaran

Nagaoka University of Technology

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Hideki Shirai

Aoyama Gakuin University

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