{"id":332,"date":"2024-08-27T17:03:21","date_gmt":"2024-08-27T09:03:21","guid":{"rendered":"https:\/\/bilab.pro\/?page_id=332"},"modified":"2024-09-14T07:22:03","modified_gmt":"2024-09-13T23:22:03","slug":"recent-results","status":"publish","type":"page","link":"https:\/\/bilab.pro\/?page_id=332&lang=en","title":{"rendered":"Recent results"},"content":{"rendered":"<p>[et_pb_section fb_built=&#8221;1&#8243; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;447263c4-e357-4559-9f7b-894f61b2977f&#8221; background_image=&#8221;https:\/\/bilab.pro\/wp-content\/uploads\/2024\/08\/paralegal-02-2.jpg&#8221; global_colors_info=&#8221;{%22gcid-7690f91f-672e-4d1f-bd75-3ed4023201b5%22:%91%22background_color%22,%22background_color_2%22,%22border_color_all%22,%22background_color%22,%22border_color_all%22%93,%22gcid-24bc774b-76d8-4fae-b57f-2dc1c9277937%22:%91%22background_color_gradient_stops%22,%22background_color_gradient_stops%22%93}&#8221;][et_pb_row padding_top_bottom_link_1=&#8221;false&#8221; padding_top_bottom_link_2=&#8221;false&#8221; padding_left_right_link_1=&#8221;true&#8221; padding_left_right_link_2=&#8221;true&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;7eba02cc-91c6-4e26-8f8c-5519c35e7beb&#8221; custom_padding=&#8221;80px|60px|80px|60px|true|true&#8221; custom_padding_tablet=&#8221;60px|30px|60px|30px|true|true&#8221; custom_padding_phone=&#8221;40px|20px|40px|20px|true|true&#8221; make_fullwidth=&#8221;on&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{%22gcid-secondary-color%22:%91%22background_color%22,%22background_color%22%93,%22gcid-3d523871-9c87-4cf9-b2bf-1b23f7b46544%22:%91%22background_color_gradient_stops%22,%22background_color_gradient_stops%22,%22background_color_gradient_stops%22,%22background_color_gradient_stops%22%93,%22gcid-7b58c881-6f2f-45ab-a8a7-a41fee04a580%22:%91%22background_color_gradient_stops%22,%22background_color_gradient_stops%22,%22background_color_gradient_stops%22,%22background_color_gradient_stops%22%93,%22gcid-24bc774b-76d8-4fae-b57f-2dc1c9277937%22:%91%22background_color_gradient_stops%22,%22background_color_gradient_stops%22,%22background_color_gradient_stops%22,%22background_color_gradient_stops%22%93,%22gcid-e8b91008-1940-4879-ae56-3616297cb1f8%22:%91%22border_color_all%22%93}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.25.1&#8243; global_colors_info=&#8221;{}&#8221;][et_pb_divider color=&#8221;#FFFFFF&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;78e4246a-6472-4b7b-8614-565cc0d15027&#8243; max_width=&#8221;200px&#8221; custom_margin=&#8221;|||-16%|false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_divider][et_pb_heading title=&#8221;Recent Performance&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;c84fceba-6d24-474c-9c4b-b369845da48a&#8221; title_text_color=&#8221;#FFFFFF&#8221; custom_margin=&#8221;||10px||false|false&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][\/et_pb_heading][\/et_pb_column][\/et_pb_row][\/et_pb_section][et_pb_section fb_built=&#8221;1&#8243; admin_label=&#8221;Services&#8221; _builder_version=&#8221;4.25.1&#8243; _module_preset=&#8221;default&#8221; locked=&#8221;off&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_row _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_column type=&#8221;4_4&#8243; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; global_colors_info=&#8221;{}&#8221;][et_pb_blurb title=&#8221;Journal papers&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; header_font_size=&#8221;20px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<ul>\n<li>Sheng-Nan Chang, Nian-Ze Hu*, Jo-Hsuan Wu, Hsun-Mao Cheng, James L. Caffrey, Hsi-Yu Yu, Yih-Sharng Chen, Jiun Hsu*, Jou-Wei Lin, (2023), Urine output as one of the most important features in differentiating in-hospital death among patients receiving extracorporeal membrane oxygenation &#8211; a random forest approach, European Journal of Medical Research.\u00a0 (SCIE)<\/li>\n<li>Lichun You, Nianzu Hu*, Qianlu Cai, S. (2022). Dynamic Analysis of Different Squatting Starting Movements, Chinese Journal of Sports Biomechanics, Vol. 19, No. 2, pp. 25-31. (TSSCI)<\/li>\n<li>Kuo-Wei Chao, Nian-Ze Hu*, Yi-Chu Chao, Chin-Kai Su and Wei-Hang Chiu (2019).<br \/>Implementation of Artificial Intelligence for Classification of Frogs in Bioacoustics, Symmetry, 2019, 11, 1454.<br \/>(SCIE)<\/li>\n<li>Yuan Chun Lo, Nian Ze Hu, Po Hsu Chen, Ying Ling Chen, Mark C Hou* and Tai Wei Kuo (2018).<br \/>Clinical Effect of Traditional Chinese Medicine on Knee Pain: A Nationwide Population-Based Cohort Study, Journal of Complementary Medicine &amp; Alternative Healthcare, Vol.5, Issue 2, Jan 2018.<\/li>\n<\/ul>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Conference Papers&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; header_font_size=&#8221;20px&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<ul>\n<li><span data-sheets-root=\"1\">Liang-Yin Kuo, Nian-Ze Hu &amp; Pei-Yiing Ni, Smart Machines Apply Virtual Reality Technology to Immersive Learning Application (2023, Nov.), International Conference on Innovation, Communication and Engineering, Bangkok, Thailand.<\/span><\/li>\n<li>Nian-Ze Hu; Qi-Ren Lin; Ruo-Wei Wu; You-Xing Zeng; Bo-an Lin; Shang-Wei Liu; Kai- Hsun Hsu; Jeng-Dao Lee; Ying-Hsiu Hung; Chun-Min Tsai (2022, Oct).<br \/>An intelligent robotic arm grasp and control system capable of determining the angle of objects.<br \/>IEEE ECICE 2022.<\/li>\n<li>Nian-Ze Hu; You-Xing Zeng; Bo-An Lin; Ruo-Wei Wu; You-Shin Lin; Kai-Hsun Hsu; Shang-Wei Liu; Tun-Chuan Chang; Chun-Min Tsai (2022, Oct).<br \/>Prediction of remaining battery life for light vehicles.<br \/>IEEE ECICE 2022.<\/li>\n<li>Nian-Ze Hu; Kai-Hsun Hsu; Jieh-Tsyr Chuang; Shang-Wei Liu; Ruo-Wei Wu; CHIA-CHEN KUO; Jeng-Dao Lee (2021, Oct).<br \/>Design a Fast Loading and Unloading Robot Controlling System by WebAPI Technique.<br \/>IEEE Eurasia Conference on IOT, Communication and Engineering 2021.<\/li>\n<li>Nian-Ze Hu; Shang-Wei Liu; Kai-Hsun Hsu; Ruo-Wei Wu; Zheng-Han Shi; Jieh- Tsyr Chuang; You-Xing Zeng; LI-CHIUAN TUNG; Jeng-Dao Lee (2021, Oct).<br \/>Develop an Abnormal Detection System of Rotating Equipment by Edge Computing.<br \/>IEEE Eurasia Conference on IOT, Communication and ngineering 2021.<\/li>\n<li>Ching-Ying Yeh, Zheng-Han Shi, Jieh-Tsyr Chuang, Kai-Hsun Hsu, Shang-Wei Liu, Ruo-Wei Wu, Ching-Hsiang Yang, Nian-Ze Hu, Jeng-Dao Lee (2020, Oct).<br \/>Use 3D Cameras and Algorithms to Develop Multi-Angle Gripping Robotic Arm Movement and Control Methods .<br \/>IEEE ECICE 2020.<\/li>\n<li>Kuo-Wei Chao, Wei-Hang Chiu, Yi-Chu Chao and Chin-Kai Su and Nian-Ze Hu* (2019, Sep).<br \/>Using machine learning method to identify class for frog.<br \/>IEEE Eurasia Conference on IOT, Communication and ngineering, Yunlin, Taiwan.<\/li>\n<li>Nian-Ze Hu, Chih-Hui Simon Su, Cihun-Siyong Alex Gong, Cheng-Jung Lee, Yong-Sheng Chen, Ching-Hsiang Yang, Ching-Ying Ye2, Zheng-Han Shi, and Jieh-Tsyr Chuang (2019, Sep).<br \/>Machine learning approach for robot diagnostic system.<br \/>IEEE Eurasia Conference on IOT, ommunication and Engineering,<br \/>Yunlin, Taiwan.<\/li>\n<\/ul>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;National Science and Council projects&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; header_font_size=&#8221;20px&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<ul>\n<li>Survival Analysis Using Deep Learning &#8211; A Case Study of the Competitive Risk of Progression to End-Stage Renal Disease or Death in Chronic Kidney Disease (112-2221-E-002-207-) (Co-Chair)<\/li>\n<li>Using Deep Learning Models to Analyze Clinical Temporal Data to Predict Progression of Chronic Kidney Disease (111-2221-E-002-115-) (Co-Chair)<\/li>\n<li>Constructing an Intelligent Cost-Benefit Analysis Tool Based on Machine Learning &#8211; A Case Study of Yeke Film (110-2221-E-002-161-) (Co-Chair)<\/li>\n<li>Constructing a Metalworking Industry Ecosystem Using IIoT Intelligent Sensing Technology-Constructing a Metalworking Industry Ecosystem Using IIOT Intelligent Sensing Technology (3\/3)(109-2218-E-002-039-) (Co-Chair)<\/li>\n<\/ul>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Industry-academia  Collaboration  projects&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; header_font_size=&#8221;20px&#8221; hover_enabled=&#8221;0&#8243; global_colors_info=&#8221;{}&#8221; sticky_enabled=&#8221;0&#8243;]<\/p>\n<ul>\n<li>2024, Research and Development Project on High-Pressure N2O Gas Carbon Reduction, Recovery, and Intelligent Monitoring Technology, Emerging Technology Application Project of the Central Taiwan Science Park.<\/li>\n<li>2024, AI Algorithms and Python Programming, Precision Machinery Research and Development Center Foundation.<\/li>\n<li>2024, Industrial Green Operations Working Group, Industrial Technology Research Institute Foundation.<\/li>\n<li>2023, the application of big technology to develop VAD method and optimize wafer test and analysis platform, Shengjia Electronics Co., Ltd<\/li>\n<li>2022, Intelligent Optimization Plan for Equipment Parameters, Taiwan Chemical Fiber Co., Ltd<\/li>\n<li>2021, Equipment Monitoring Module, Taiwan Chemical Fiber Co., Ltd<\/li>\n<li>2021, Process Early Warning Assisted Decision-Making, AUO Optronics Co., Ltd<\/li>\n<li>2021, Bearing Life Prediction Module, Taiwan Chemical Fiber Co., Ltd<\/li>\n<li>2021, Equipment Failure Prediction Project, Chimei Industrial Co., Ltd<\/li>\n<li>2020, Process AI Prediction Platform, Chimei Industrial Co., Ltd<\/li>\n<li>2020, the use of visual recognition to develop automatic control related technologies, Chuangjing Application Integration Co., Ltd<\/li>\n<li>2019, the use of artificial intelligence and the Internet of Things to develop logistics monitoring technology, Chuanghuan Application Integration Co., Ltd<\/li>\n<li>2018, Software Development of AI Intelligent Analysis Endoscopy Training System, Chengsheng Medical Co., Ltd<\/li>\n<li>2018, Assisted in the introduction of big data analysis technology, Allied Automation Co., Ltd<\/li>\n<li>2018, the use of artificial intelligence and big data to develop a promotion platform, Maoyong Technology Co., Ltd<\/li>\n<li>2018, Whole Plant Intelligent Analysis Mechanism and Adaptive Adjustment System, Yuanling Precision Industry Co., Ltd<\/li>\n<li>2018, Intelligent Production and Quality Reporting System and Intuition is the Human-Machine Interface, Yuanling Precision Industry Co., Ltd<\/li>\n<\/ul>\n<p>[\/et_pb_blurb][et_pb_blurb title=&#8221;Patent application&#8221; _builder_version=&#8221;4.27.0&#8243; _module_preset=&#8221;default&#8221; header_font_size=&#8221;20px&#8221; global_colors_info=&#8221;{}&#8221;]<\/p>\n<p><span>SYSTEM FORANALYZINGSTARTSAND ACCELERATIONPHASESINSQUAT-STYLE TRACK ANDFIELDEVENTS, United States PATENT, 2023<\/span><span><\/span><\/p>\n<p><span>Physical Core Ability Monitoring and Analysis Platform for Athletics Sports, Taiwan Invention Patent, 2019<\/span><\/p>\n<p><span>Data collection and analysis system for track and field squatting starting training, Taiwan invention patent, 2018<\/span><\/p>\n<p>[\/et_pb_blurb][\/et_pb_column][\/et_pb_row][\/et_pb_section]<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Sheng-Nan Chang, Nian-Ze Hu*, Jo-Hsuan Wu, Hsun-Mao Che [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_et_pb_use_builder":"on","_et_pb_old_content":"","_et_gb_content_width":"","footnotes":""},"class_list":["post-332","page","type-page","status-publish","hentry"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.3 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\r\n<title>Recent results -<\/title>\r\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" 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