{"id":1588,"date":"2020-09-09T09:22:20","date_gmt":"2020-09-09T02:22:20","guid":{"rendered":"https:\/\/beta.sut.ac.th\/ie-mea?page_id=1588"},"modified":"2020-09-09T09:25:42","modified_gmt":"2020-09-09T02:25:42","slug":"worawat-lawanont","status":"publish","type":"page","link":"https:\/\/beta.sut.ac.th\/ie-mae\/%e0%b8%84%e0%b8%93%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%9a%e0%b8%b8%e0%b8%84%e0%b8%a5%e0%b8%b2%e0%b8%81%e0%b8%a3\/%e0%b8%84%e0%b8%93%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c\/worawat-lawanont","title":{"rendered":"Worawat Lawanont"},"content":{"rendered":"\t\t
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PhD, Functional Control System, Engineering, Shibaura Institute of Technology, Japan<\/strong><\/p>

MSc,\u00a0System Engineering, Shibaura Institute of Technology, Japan<\/strong><\/p>

MSc,\u00a0Computer Science, King Mongkut’s\u00a0University of Technology Thonburi, Thailand<\/strong><\/p>

BSc, Information Technology, King Mongkut’s University of Technology Thonburi, Thailand<\/strong><\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Phone:\u00a0<\/p>

044-223566<\/p>

Fax:\u00a0<\/p>

044-224494<\/p>

E-mail:<\/p>

Worawat.Law@sut.ac.th<\/p>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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Refereed International Journal Publications<\/strong><\/p>

  • Lawanont, W., Inoue, M., Mongkolnam, P., & Nukoolkit, C. (2018). Neck Posture Monitoring System Based on Image Detection and Smartphone Sensors Using The Prolonged Usage Classification Concept.\u00a0IEEJ Transactions on Electrical and Electronic Engineering,\u00a0(Vol. 13, No. 10, pp. 1501-1510).<\/li><\/ul>

    \u00a0<\/p>

    Refereed International Conferences\u200b<\/strong><\/p>

    • Kitpo, N., Lawanont, W., Kongwat, S., Hirabayashi, Takara, \u00a0H, Hasegawat, H., and Inoue, M. (2019, September). \u00a0Learning Outcomes of Global Project Based Learning Based on Activities Conducted by Teaching Assistant. In JSEE Annual Conference 2019 (pp. 1-6).<\/li>
    • Lawanont, W., Mongkolnam, P., Nukoolkit, C., Inoue, M., Yokemura, T. (2019, January) Daily Stress and Mood Recognition System Using Deep Learning and Fuzzy Clustering for Promoting Better Well-Being. In 2019 IEEE International Conference on Consumer Electronics (ICCE) (pp. 1-6). IEEE<\/li>
    • Lawanont, W., Mongkolnam, P., Nukoolkit, C., & Inoue, M. (2018, June). Daily Stress Recognition System Using Activity Tracker and Smartphone Based on Physical Activity and Heart Rate Data. In International Conference on Intelligent Decision Technologies (Vol. 97, pp. 11-21). Springer, Cham.<\/li>
    • Lawanont, W., & Inoue, M. (2018, January). An Unsupervised Learning Method for Perceived Stress Level Recognition Based on Office Working Behavior. In 2018 International Conference on Electronics, Information, and Communication (ICEIC) (pp. 1-4). IEEE<\/li>
    • Lawanont, W., & Inoue, M. (2017, June). A Development of Classification Model for Smartphone Addiction Recognition System Based on Smartphone Usage Data. In International Conference on Intelligent Decision Technologies (pp. 3-12). Springer, Cham.<\/li>
    • Lawanont, W., & Inoue, M. (2017, March). A Development of Healthcare System Architecture with Customizability and Reusability for Smartphone Addiction Recognition System. In 11th South East Asian Technical University Consortium Symposium (11th SEATUC). (pp. 1-7)<\/li>
    • Lawanont, W., Mongkolnam, P., Nukoolkit, C., & Inoue, M. (2016, February). A comparison between two image detection algorithms on neck angle detection and a prolonged usage classification concept. In 10th South East Asian Technical University Consortium Symposium (10th SEATUC). (pp. 1-4)<\/li>
    • Lawanont, W., Mongkolnam, P., & Nukoolkit, C. (2015, July). Smartphone posture monitoring system to prevent unhealthy neck postures. In Computer Science and Software Engineering (JCSSE), 2015 12th International Joint Conference on (pp. 331-336). IEEE.<\/li><\/ul>

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      Research Interest<\/strong><\/p>

      • Machine Learning\/Deep Learning Application<\/p><\/li>

      • Computer Vision<\/p><\/li>

      • IoT Application<\/p><\/li>

      • Industrial Automation<\/p><\/li>

      • Educational Technology<\/p><\/li>

      • Active Learning<\/p><\/li><\/ul>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t

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        Teaching<\/strong><\/p>

        • Internet of Things<\/p><\/li>

        • Computer Vision<\/p><\/li>

        • Introduction to Robotics<\/p><\/li><\/ul>\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

          PhD, Functional Control System, Engineering, Shibaura I […]<\/p>\n","protected":false},"author":302,"featured_media":0,"parent":1018,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":[],"acf":[],"yoast_head":"\nWorawat Lawanont - \u0e2a\u0e32\u0e02\u0e32\u0e27\u0e34\u0e0a\u0e32\u0e27\u0e34\u0e28\u0e27\u0e01\u0e23\u0e23\u0e21\u0e01\u0e32\u0e23\u0e1c\u0e25\u0e34\u0e15<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/beta.sut.ac.th\/ie-mae\/%e0%b8%84%e0%b8%93%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c-%e0%b8%9a%e0%b8%b8%e0%b8%84%e0%b8%a5%e0%b8%b2%e0%b8%81%e0%b8%a3\/%e0%b8%84%e0%b8%93%e0%b8%b2%e0%b8%88%e0%b8%b2%e0%b8%a3%e0%b8%a2%e0%b9%8c\/worawat-lawanont\" \/>\n<meta property=\"og:locale\" content=\"th_TH\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Worawat Lawanont - 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