OKUMURA Susumu

写真a

Title

Professor

Research Fields, Keywords

Life Cycle Engineering, Maintenance Engineering

Mail Address

E-mail address

Graduating School 【 display / non-display

  • Kyoto University  Faculty of Engineering  1986.03

Graduate School 【 display / non-display

  • Kyoto University  Graduate School, Division of Engineering  Precision Engineering  Master's Course  1988.03

Campus Career 【 display / non-display

  • University of Shiga Prefecture  School of Engineering  Department of Mechanical Systemus Engineeringu  Professor   2015.04 - Now

  • University of Shiga Prefecture  School of Engineering  Department of Electronic Systems Engineering  Professor   2008.04 - 2015.03

  • University of Shiga Prefecture  School of Engineering  Department of Mechanical Systemus Engineeringu  Professor   2004.08 - 2008.03

  • University of Shiga Prefecture  School of Engineering  Department of Mechanical Systemus Engineeringu  Associate Professor (as old post name)   1995.04 - 2004.07

External Career 【 display / non-display

  • University of Toronto  Department of Industrial Engineering     1993.09 - 1994.08

Academic Society Affiliations 【 display / non-display

  • International Journal of Condition Monitorinig and Diagnostic Engincering Management  Editor

  • Institute of Industrial Engineers

Field of expertise (Grants-in-aid for Scientific Research classification) 【 display / non-display

  • Production engineering/Processing studies

  • Intelligent mechanics/Mechanical systems

  • Environmental conscious materials and recycle

 

Research theme 【 display / non-display

  • Optimization of Maintenance

    Maintenance,Reliability,Optimization

  • Quality Design

    Parameter Design, Optimization

  • GIS Based Land Management System

    GIS, Applied Information System

  • Environmentally conscious design

    Environment,Design,Remanufaturing

Papers 【 display / non-display

  • Automated microaneurysm detection in retinal fundus images based on the combination of three detectors

    Yuji Hatanaka, Tsuyoshi Inoue, Kazunori Ogohara, and Susumu Okumura

     Journal of Medical Imaging and Health Informatics    2018.03

    Joint Work  

  • Automated blood vessel extraction based on high-order local autocorrelation features on retinal images

    Hatanaka Y., Samo K., Ogohara K., Sunayama W., Muramatsu C., Okumura S., Fujita H.

    Lecture Notes in Computational Vision and Biomechanics  Lecture Notes in Computational Vision and Biomechanics  27   803 - 810  2018.01

    10.1007/978-3-319-68195-5_87  Joint Work  

    [Abstract]

    © 2018, Springer International Publishing AG. Automated blood vessels detection on retinal images is an important process in the development of pathologies analysis systems. This paper describes about an automated blood vessel extraction using high-order local autocorrelation (HLAC) on retinal images. Although HLAC features are shift-invariant, HLAC features are weak to turned image. Therefore, a method was improved by the addition of HLAC features to a polar transformed image. We have proposed a method using HLAC, pixel-based-features and three filters. However, we have not investigated about feature selection and machine learning method. Therefore, this paper discusses about effective features and machine learning method. We tested eight methods by extension of HLAC features, addition of 4 kinds of pixel-based features, difference of preprocessing techniques, and 3 kinds of machine learning methods. Machine learning methods are general artificial neural network (ANN), a network using two ANNs, and Boosting algorithm. As a result, our already proposed method was the best. When the method was tested by using “Digital Retinal Images for Vessel Extraction” (DRIVE) database, the area under the curve (AUC) based on receiver operating characteristics (ROC) analysis was reached to 0.960.

  • Automated blood vessel extraction based on high-order local autocorrelation features on retinal images

    Yuji Hatanaka, Kazuki Samo, Kazunori Ogohara, Wataru Sunayama, Chisako Muramatsu, Susumu Okumura, and Hiroshi Fujita,

    springer  VipIMAGE 2017    2017.10

    Joint Work  

  • Automated independent extraction of major arteries and veins on retinal images

     Medical Imaging and Information Sciences  34 (3)   136 - 140  2017.10

    Joint Work  

  • Effect of a reusable unit's physical life distribution on reuse efficiency in environmentally conscious products

    Susumu Okumura, Yuya Sakaguchi, Yuji Hatanaka, and Kazunori Ogohara

    Elsevier  Procedia CIRP  61   161 - 165  2017.04

    10.1016/j.procir.2016.11.155  Joint Work  

  • Effect of a reusable unit's physical life distribution on reuse efficiency in environmentally conscious products

    Susumu Okumura, Yuya Sakaguchi, Yuji Hatanaka, and Kazunori Ogohara

     Proceedings of the 24th CIRP Conference on Life Cycle Engineering (LCE2016)   1 - 5  2017.03

    Joint Work  

  • Automated detection of Martian water ice clouds using Support Vector Machine and simple feature vectors

    Kazunori Ogohara, Takafumi Munetomo, Yuji Hatanaka, and Susumu Okumura

     Planetary and Space Science  134   64 - 70  2016.10

    Joint Work  

  • Simultaneous evaluation of environmental impact and incurred cost on selection of end-of-life products recovery options

    Susumu Okumura, Yuuki Matsumoto, Yuji Hatanaka, and Kazunori Ogohara

     International Journal of Automation Technology  10 (5)   699 - 707  2016.09

    Joint Work  

  • Artery and vein diameter ratio measurement based on improvement of arteries and veins segmentation on retinal images

    Yuji Hatanaka, Hirokazu Tachiki, Kazunori Ogohara, Chisako Muramatsu, Susumu Okumura, and Hiroshi Fujita

    IEEE  Proceedings of the 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society   1336 - 1339  2016.08

    Joint Work  

  • Effects of physical life distribution of a reusable unit in environmentally-conscious products on reuse efficiency

    Yuya Sakaguchi, Susumu Okumura, Yuji Hatanaka, and Kazunori Ogohara

     Prceedings of International Symposium on Environmentally Conscious Design and Inverse Manufacturing (EcoDesign 2015)   1019 - 1022  2015.12

    Joint Work  Joint(The main charge)

    [Abstract]

    Remanufacturing is one of the methods which reduce environmental impact generated in production processes of industrial products. It is anticipated that the more reusable units are reused, the greater is the reduction in environmental impact. It is necessary to set a physical lifespan to a reusable unit appropriately in order to decrease environmental impact for remanufacturing in the design phase. Moreover, it should be remembered that obsolescence of reusable units may occur as time goes by, which spoils reuse of reusable units. Therefore, it is essential to consider failure, obsolescence and environmental impact simultaneously when designing industrial products with reusable units that have minimum impact on the environment. In this study, reuse efficiency is considered as an evaluation function, whose element is the number of reuse of reusable units, the number of newly manufactured reusable units and the number of disposal of reusable units in a finite time horizon. Numerical examples based on life-cycle simulation are provided along with sensitivity analysis giving key principles to improve reuse efficiency so as to derive an optimum physical life distribution.

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Books 【 display / non-display

  • Proceedings of the 23rd International Congress on Condition Monitoring and Diagnostic Engineering Management (COMADEM 2010): Advances in Maintenance and Condition Diagnosis Technologies towards Sustainable Society

    Susumu Okumura, Tadao Kawai, Peng Chen and Raj. B.K.N. Rao eds.

    Sunrise Publishing  930p  2010.06

    Scholarly Book  Joint Work

Review Papers 【 display / non-display

  • Life-cycle engineering: status quo and future prospects

    Susumu Okumura

    Institute of Systems, Control and Information Engineers  Systems, Control and Information  59 (2)   53 - 58  2015.02

     Single Work  

Conferences 【 display / non-display

  • リユース部品の物理・機能寿命分布がハイブリッド再製造システムの運用に及ぼす影響

    日本設備管理学会 平成29年度 秋季研究発表大会  2017.11

  • Automated detection of Martian water ice clouds: the Valles Marineris

    48th Division for Planetary Sciences (DPS) and 11th European Planetary Science Congress (EPSC) meeting (DPS48/EPSC11)  2016.10

  • 部品リユースを伴う環境配慮型製品における物理寿命・機能寿命分布の設定によるリユース効率の向上

    "2016年度精密工学会秋期大会学術講演会  2016.09

  • Automated detection of microaneurysms using improved density gradient vector concentration on retinal fundus images

    2015 International Forum on Medical Imaging in Asia Tainan  2015.01

  • Improved automated optic cup segmentation based on detection of blood vessel bends in retinal fundus images

    36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society  2014.08

  • Automated microaneurysm detection method based on majority-voting of three detections in retinal fundus images

    Computer Assisted Radiology and Surgery 28th International Congress and Exhibition  1014.06