Kang Dongshik

写真a

Title

Associate Professor

Researcher Number(JSPS Kakenhi)

00315459

Mail Address

E-mail address

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Current Affiliation Organization 【 display / non-display 】

  • Duty   University of the Ryukyus   Faculty of Engineering   School of Engineering_Computer Science and Intelligent Systems Program   Associate Professor  

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Academic degree 【 display / non-display 】

  • Osaka Prefecture University -  Doctor of Engineering

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External Career 【 display / non-display 】

  • 2005.06
    　
    　

    University of the Ryukyus, Faculty of Engineering  

  • 2005.06
    　
    　

    University of the Ryukyus, Faculty of Engineering, Department of Information Engineering, Information Systems, Associate Professor  

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Research Interests 【 display / non-display 】

  • Intelligent Systems

  • Intelligent Systems

  • GIS

  • AI

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Research Areas 【 display / non-display 】

  • Informatics / Intelligent informatics

  • Informatics / Intelligent informatics

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Published Papers 【 display / non-display 】

  • A model for predicting noise source-receiver distance based on an object detection function

    Kang Dongshik, Iha Moritaka, Thu Lan Nguyen

    International Journal of Science and Research Archive   13 ( 01 ) 541 - 548   2024.09 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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  • Detecting Malware on Windows OS Using AI Classification of Extracted Behavioral Features from Images

    Noor aldeen Alhamedi, Kang Dongshik

    (IJACSA) International Journal of Advanced Computer Science and Applications   15 ( 8 ) 1332 - 1339   2024.08 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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  • DETECTING WINDOWS MALWARE USING IMAGE ANALYZING FOR EXTRACTED BEHAVIOR FEATURES

    v

    DETECTING WINDOWS MALWARE USING IMAGE ANALYZING FOR EXTRACTED BEHAVIOR FEATURES   11 ( 5 ) 35 - 39   2024.05 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

  • Emotional Speech Transfer on Demand Based on Contextual Information and Generative Models: A Case Study

    Andrea Veronica Porco, Kang Dongshik

    (IJACSA) International Journal of Advanced Computer Science and Applications   14 ( 11 ) 1364 - 1373   2023.12 [ Peer Review Accepted ]

    Type of publication: Research paper (scientific journal)

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  • Detection of Seashore Debris with Fixed Camera Images using Computer Vision and Deep learning

    Andrea Veronica Porco, Kang Dongshik

    2023 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI) ( IEEE Xplore )    2023.12 [ Peer Review Accepted ]

    Type of publication: Research paper (international conference proceedings)

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Books 【 display / non-display 】

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Other Papers 【 display / non-display 】

  • Anonymization of classroom video with facial direction information

    Kang Dongshik, Hibiki Miyagi, Momoka Shirado

    The 10th International Integrated Conference &Concert on Convergence     1 - 6   2024.07

     

  • Estimating the reason for infants’ cries through AI models

    Takaku Yutaka, Andrea Veronica Porco and Kang Dongshik

    The 10th International Joint Conference on Convergence     217 - 221   2024.01

     

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Presentations 【 display / non-display 】

  • Visualization of Concentration Based on Posture by Image Analysis

    2020 Biomedical Interface Workshop  2020.03  -  2020.03 

  • Visualization of Concentration degree by digital video analysis

    2019 Biomedical Interface Workshop  2019.03  -  2019.03 

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Grant-in-Aid for Scientific Research 【 display / non-display 】

  • Grant-in-Aid for Scientific Research(C)

    Project Year: 2022.04  -  2025.03 

    Direct: 3,200,000 (YEN)  Overheads: 4,160,000 (YEN)  Total: 960,000 (YEN)

  • Parent-child sleep improvement application development by growth hack theory and its epidemiological verification

    Grant-in-Aid for Scientific Research(C)

    Project Year: 2019.04  -  2023.03 

    Direct: 3,300,000 (YEN)  Overheads: 4,290,000 (YEN)  Total: 990,000 (YEN)

  • Improvement of Personal Concentration Estimation by Image Analysis

    Grant-in-Aid for Scientific Research(C)

    Project Year: 2018.04  -  2023.03 

    Direct: 3,300,000 (YEN)  Overheads: 4,290,000 (YEN)  Total: 990,000 (YEN)

  • Estimation of individual emotional intelligence based on new measurements and multiple psychological and brain data

    Grant-in-Aid for Scientific Research(C)

    Project Year: 2016.04  -  2019.03 

    Investigator(s): Yousuke Kawachi 

    Direct: 3,300,000 (YEN)  Overheads: 4,290,000 (YEN)  Total: 990,000 (YEN)

    　View Summary

    Although both measurements target emotional intelligence (EI), previous studies indicated that questionnaire- and task-EI were not correlated with each other. Here we devised new EI tasks and stimuli and combined brain measures with psychological measures to comprehensively understand various aspects of EI. (1) We devised emotional tasks and stimuli (faces, sentences, and animations) and the corresponding emotional responses were quantified. (2) We explored the relationships among EI, general intelligence (GI) and executive functions (EF), showing that questionnaire-EI was correlated with questionnaire-EF but not with GI and task-EF. (3) We used a measure of regional gray matter volume (rGMV) to examine the relationship between EI and personality. Results showed that the rGMV associated with EI mainly overlapped with that of personality. (4) We devised new support vector machine classifiers related to brain structural and functional data for EI as a target to estimate individual EI.

  • Development and epidemiological study of an electronic sleep improvement program on parents and children

    Grant-in-Aid for Scientific Research(C)

    Project Year: 2015.04  -  2018.03 

    Investigator(s): SASAZAWA Yosiaki 

    Direct: 3,700,000 (YEN)  Overheads: 4,810,000 (YEN)  Total: 1,110,000 (YEN)

    　View Summary

    To investigate the effectiveness of the interventional sleep program for parents and children in order to improve sleep and academic ability, this study conducted an interventional study by using sleep diaries, sleep education. Subjects included 604 (Study 1;S1) and 549 (Study 2;S2) 5th and 6th grade elementary students and their parents. Before and after the interventional program, suveys were done. The intervention consisted of a sleep diary for students and parents, and sleep education that is the lecture for students and a newsletter for parents (S1). S2 developed and used application software for the intervention. Results showed that the interventional students improved academic ability and sleep habits. However, in Study 2, only 9 couple was participated. Because of busy, needless for sleep education and difficulity of the operation. Therefore, the issue of this research is to develop software that is easy to operate and to make participants' motivation to sleep education.

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SDGs 【 display / non-display 】

  • プロジェクト・イッカク「これ以上、海にゴミを出さない」

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