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林君玲

教  師:林君玲 副教授

學  歷:國立交通大學電機博士

辦公地點:電機館207室

分機號碼:4819

電子郵件:ginnylin@mail.mcut.edu.tw

學術/研究資料:

 

A. 期刊論文

  1. S. Hsieh and C. L. Lin*, "A Beat-to-Beat Atrial Fibrillation Detecting System," Journal of Cardiovascular Diseases & Diagnosis, vol. 5, no. 6, p. 001, 2017.
  2. S.-T. Hsieh and C. L. Lin*, "Intelligent healthcare system using an Arduino microcontroller and an android-based smartphone," Biomedical Research, vol. 28, no. 22, 2017
  3. S. T. Hsieh, S. J. Yen, C. L. Lin*, S. Y. Chiu and T. C. Su, “Solving The Flexible Job Shop Problem using Multi-Objective Optimizer with Solution Characteristic Extraction”, Applied Mathematics & Information Sciences, vol. 10, No. 5, pp. 1815-1830, 2016 (2013, IF=1.232, Mathematics, Applied, Rank=53/251, Q1) 
  4. S. T. Hsieh, C. L. Lin*, P. W. Su and W. D. Li, “Real-Time Reservation and Ordering System”, Applied Science and Management Research, vol. 3, No. 1, pp. 148-155, 2016
  5. C. L. Lin, M. Jung, Y. C. Wu, H. C. She and T. P. Jung, “Neural Correlates of Mathematical Problem Solving ” , International Journal of Neural Systems, vol. 25(2), pp. 1-17, 2015.(SCI)
  6. C. C. Lin, C. L. Lin, and J. Z. Shyu, “Hybrid multi-model forecasting system: A case study on display market”, Knowledge-Based Systems, vol. 71, pp. 279-289, 2014.(SCI)
  7. C. S. Huang, C. L. Lin, L. W. Ko, S. Y. Liu, T. P. Su, and C. T. Lin, “Knowledge-based identification of sleep stages based on two forehead electroencephalogram channels” Frontiers in neuroscience, vol. 8, 2014.
  8. C. L. Lin, T. P. Jung, S. W. Chuang, J. R. Duann, C. T. Lin, T. W. Chiu “Self-adjustments may account for the contradictory correlations between HRV and motion-sickness severity," International Journal of Psychophysiology, vol. 87(1), pp. 70-80, 2013.(SCI)
  9. C. L. Lin, C. C. Lin, J. Z. Shyu, and C. T. Lin, “A Rule-based Forecasting System Integrating combining and Single Forecast for Decision Making," International Journal of Computer Applications, vol. 39(14), pp. 1-6, 2012. (EI)
  10. C. C. Lin, C. L. Lin, J. Z. Shyu, and C. T. Lin, “The ANFIS system for Nonlinear Combined Forecasts in the Telecommunications Industry," International Journal of Computer Applications, vol. 37(12), pp. 30-35, 2012. (EI)
  11. C. L. Lin, F. Z. Shaw, K. Y. Young, C. T. Lin, and T. P. Jung, “EEG correlates of haptic feedback in a visuomotor tracking task” NeuroImage, vol. 60(4), pp. 2258–227 2012. (SCI)
  12. T. T. Chiu, C. L. Lin, K. Y. Young, C. T. Lin, S. H. Hsu, B. S. Yang, and Z. F. Huang, “A study of Fitts' law on goal-directed aiming task with moving targets," Perceptual and Motor Skills, vol. 113(1), pp. 339-352, 2011(SCI)
  13. C. T. Lin, K. C. Chang, C. L. Lin, C. C. Chiang, S. W. Lu, S. S. Chang, B. S. Lin, H. Y. Liang, R. J. Chen, Y. T. Lee, and L.W. Ko, “An Intelligent Telecardiology System Using a Wearable and Wireless ECG to Detect Atrial Fibrillation,” Information Technology in Biomedicine, IEEE Transactions on, vol. 14(3), pp. 726-733, 2010. (SCI)
  14. Y.C. Chen, J.R. Duann, S.W. Chuang, C. L. Lin, L.W. Ko, T.P. Jung, and C.T. Lin, “Spatial and temporal EEG dynamics of motion sickness”. NeuroImage, vol. 49 (3), pp.2862-2870, 2009.(SCI)
  15. S. T. Hsieh, T. Y. Sun, C. L. Lin, C. C Liu, “Effective Learning Rate Adjustment of Blind Source Separation Based on an Improved Particle Swarm Optimizer,” Evolutionary Computation, IEEE Transactions on, vol. 12(2), pp. 242-251, 2008. (SCI)

B. 研討會論文

  1. S. T. Hsieh and C. L. Lin*. Innovative R peak detecting algorithm using enhanced artificial bee colony. IEEE ICASI 2018, Chiba, Japan. 13-17 April 2018
  2. Y. X. Chen, S. T. Hsieh and C. L. Lin*. The electrocardiogram interpretation system in homecare . IEEE ICASI 2018, Chiba, Japan,13-17 April 2018
  3. C. L. Lin, S. T. Hsieh and S. Y. Chiu. Improved Differential Evolution with Searching Pioneer for Solving Multi-modal Optimization Problems. The Third International Symposium on Computing and Networking (CANDAR 2017), Aomori, Japan, November 19-22, 2017
  4. S. T. Hsieh, H. W. Cheng, C. L. Lin and T. Y. Sun. Biologically Adaptive Artificial Bee Colony for Numerical Optimization . Third International Symposium on Computing and Networking (CANDAR 2017), Aomori, Japan, November 19-22, 2017
  5. C. L. Lin and S. T. Hsieh. Improved Differential Evolution with Mutual Learning Strategy for Solving Numerical Optimization Problems. 2017 International Conference on Smart Science (ICSS 2017), Huis Ten Bosch, Japan, April 6-10, 2017
  6. S. T. Hsieh, J. F. Yu and C. L. Lin*. An Intelligent Fall detection system using wearable accelerometers and android based smartphone . 2017 International Conference on Smart Science (ICSS 2017), Huis Ten Bosch, Japan, , April 6-10, 2017
  7. S. T. Hsieh and C. L. Lin*, “Multi-Objective Artificial Bee Colony with Multi-Movement Strategies for Solving Multi-objective Optimization Problems”, is accepted for publication by the Asia Pacific Industrial Engineering & Management Systems Conference 2016, Taipei, Taiwan, December 7-10, 2016. 
  8. B. C. Wu and C. L. Lin*, “Robust ECG R Peaks Detection using Artificial Bee Colony”, The Fifth International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI 2016), Taichung, Taiwan, Oct. 28-Nov. 01, 2016.
  9. C. H. Hsu and C. L. Lin*, “Development of a Multi-sensor Intelligent Home Environment Monitoring System Based on Arduino and Wi-Fi”, The Fifth International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI 2016), Taichung, Taiwan, Oct. 28-Nov. 01, 2016. 
  10. J. F. Yu and C. L. Lin*, “Fall Detection System using Wearable Accelerometers”, The Fifth International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI 2016), Taichung, Taiwan, Oct. 28-Nov. 01, 2016.
  11. Y. C. Cheng and C. L. Lin*, “Smart Homecare System for Tele-health Monitoring”, The Fifth International Multi-Conference on Engineering and Technology Innovation 2016 (IMETI 2016), Taichung, Taiwan, October 28-November 01, 2016.
  12.  S. T. Hsieh and C. L. Lin*, “An Improved Artificial Bee Colony for Solving Multi-objective Optimization Problems”, 2016 2th International Conference on Robotics and Automation Sciences (ICRAS 2016), New Taipei, Taiwan, September 3-5, 2016.
  13. S. T. Hsieh, C. L. Lin and S. Y. Chiu  , “Artificial Bee Colony with Enhanced Food Sources Search Strategies  “is accepted for publication in proc. of 2015 International Conference on Applied System Innovation (ICASI2015), Osaka, Japan, May. 22-26-4, 2015
  14. C. L. Lin, H. L. Wu and S. T. Hsieh , “Competition based Differential Evolution for Global Numerical Optimization “is accepted for publication in proc. of 2015 International Conference on Applied System Innovation (ICASI2015), Osaka, Japan, May. 22-26-4, 2015.
  15. C. L. Lin, S. T. Hsieh and S. Y. Chiu, “Adaptive Population Artificial Bee Colony for Numerical Optimization,” is accepted for publication in proc. of 1st International Conference on Industrial Networks and Intelligent Systems, Tokyo, Japan, Mar. 2-4, 2015.
  16. C. L. Lin, S. T. Hsieh, Huang-Lyu Wu and Tse Su, “Robust Differential Evolution for solving Numerical Optimization Problems,” is accepted for publication in proc. Of 1st International Conference on Industrial Networks and Intelligent Systems, Tokyo, Japan, Mar. 2-4, 2015.
  17. S. T. Hsieh and C. L. Lin*, “An intelligent diagnosis influenza system based on adaptive neuro‐fuzzy inference system,” is accepted for publication in proc. of 1st International Conference on Industrial Networks and Intelligent Systems, Tokyo, Japan, Mar. 2-4, 2015.
  18. S. T. Hsieh, C. L. Lin, and S. Y. Chiu, “Adaptive mutation strategies and population for Differential Evolution,” in proc. of International Symposium on Artificial and Robotics.(AROB 19th ’14), pp. 854-858, Beppu, Oita, Japan, Jan. 22-24, 2014.
  19. C. L. Lin, S. T. Hsieh, and J. S. Chen, “Artificial Bee Colony Algorithm with Dimension Manager for Global Numerical Optimization,” in proc.of International Symposium on Artificial and Robotics.(AROB 19th ’14), pp. 867-871, Beppu, Oita, Japan, Jan. 22-24, 2014.
  20. C. L. Lin, S. T. Hsieh, and Y. J. Hu, “Fuzzy Neural Network-Based Influenza Diagnostic System,” in Proc. of 4th International Workshop on Advances in Networking and Computing, pp. 633-635, Matsuyama, Japan, Dec. 4-6, 2013.
  21. C. L. Lin, M. Jung, Y. C. Wu, C. T. Lin, H. C. She, “EEG Spectra Are Correlated with Mathematical Problem-Solving Times”, Accepted by OHBM 2013.
  22. C. S. Huang, C. L. Lin, W. Y. Yang, L. W. Ko, S. Y. Liu, C. T. Lin, “Applying the Fuzzy C-means based Dimension Reduction to Improve the Sleep Classification System” Accepted by FUZZ-IEEE 2013
  23. C. S. Huang, C. L. Lin, L. W. Ko, Y. K. Wang, J. W.  Liang, C. T. Lin, “Automatic Sleep Stage Classification GUI with a Portable EEG Device” Accepted by HCI International 2013.
  24. C. S. Huang, C. L. Lin, L. W. Ko, Y. K. Wang, J. W.  Liang, C. T. Lin, “A SVM-based Hierarchical Classification for Sleep Stage Scoring via Forehead EEG Signals” Accepted by IEEE SSCI 2013.
  25. C. L. Lin, M. Jung, Y. C. Wu, C. T. Lin, H. C. She, “EEG correlates of performance in Mathematical Problem Solving", accepted to be published in Proceedings of the Society for Neuroscience 2012, New Orleans, USA, October 13-17, 2012.
  26. C. L. Lin, M. Jung, Y. C. Wu, C. T. Lin, H. C. She, “Brain Dynamics of Mathematical Problem Solving,” accepted to be published in Proceedings of the 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2012), San Diego, USA, August 28-September 1, 2012.
  27. C. L. Lin, M. Jung, Y. C. Wu, C. T. Lin, H. C. She, “The Effects of Task Difficulty on Hemispheric EEG Power upon Performing Mathematic Games", in Proceedings of the Organization for Human Brain Mapping 2012, Beijing, China, June 10-14, 2012.
  28. C. L. Lin, C. S. Huang, L. W. Ko, S. Y. Liu, T. P. Su, C. T. Lin, “Development of a Hierarchical Structure for sleep stage Classification using Forehead EEG Signals,” in Proceedings of the Symposium on Engineering Medicine and Biology Applications (SEMBA/BioPro 2012), Taichung, Taiwan, February 11-13, 2012.
  29. C. T. Lin, C. L. Lin, T. W. Chiu, J. R. Duann, and T. P. Jung, “Effect of respiratory modulation on relationship between heart rate variability and motion sickness,” in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2011), pp. 1921-1924, August 30 - September 3, 2011
  30. C.T. Lin, C. L. Lin, K. C. Huang, S. A. Chen, and J. H. Tung, “The Performance of Visuo-Motor Coordination Changes under Force Feedback Assistance System,” in Proceedings of the 2010 IEEE International Symposium on Circuits and Systems (ISCAS 2010), pp. 1376-1379, May 30-June 2, 2010.
  31. C.T. Lin, K. C. Chang, S. W. Lu, C. L. Lin, B. S. Lin, C. F. Chao, and L. W. Ko, “An Intelligent Telecardiology Healthcare System Using a Wearable and Wireless ECG Device,” in Proceedings of the 6th International School and Symposium on Medical Devices and Biosensors and the 4th International School and Symposium on Biomedical and Health Engineering (MDBS-BHE 2009), Shenzhen, China, December 26-28, 2009.
  32. C. T. Lin, K. C. Chang, S. W. Lu, C. L. Lin, B. S. Lin, and L. W. Ko, “A Wearable and Wireless ECG Monitoring System and Its Clinical Applications,” in Proceedings of the IEEE Biomedical Circuits and Systems Conference (BioCAS 2009), Beijing, China, November 26-28, 2009.
  33. C. L. Lin, S. T. Hsieh, T. Y. Sun, and C. C. Liu, “Cluster Distance Factor Searching by Particle Swarm Optimization for Self-Growing Radial Basis Function Neural Network,” in Proceedings of the Neural Networks, 2006. IJCNN '06. International Joint Conference on, pp. 4825-4830, July 16-21, 2006.
  34. C. L. Lin, S. T. Hsieh, T. Y. Sun, and C. C. Liu, “PSO-based learning rate adjustment for blind source separation,” in Proceedings of the International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS), pp. 181-184, December 13-16, 2005.
  35. C. C. Liu, T. Y. Sun, C. L. Lin, and C. P. Chou, “A Self-organized Neural Network for Blind Separation Process with Unobservable Sources,” in Proceedings of the International Symposium on Intelligent Signal Processing and Communication Systems (ISPAC 2005), pp.177-180, The Chinese University of Hong Kong, Hong Kong, Dec. 13-16, 2005
  36. C. C. Liu, T. Y. Sun, C. L. Lin, and C. P. Chou, “Self-Structure Feed-Forward Neural Network for Solving BSS Problem with Unknown Sources Number,” in Proceedings of the 12th International Conference on Neural Information Processing (ICONIP2005), Grand Hotel, Taipei, Taiwan, October 30-November 2, 2005.

C.研究計畫案:

  1. 可攜式即時居家照護系統,科技部,2015/08/01~2016/07/31

  2. 交感神經/副交感神經、呼吸、血管彈性分析演算法、心電圖異常偵測演算法設計與開發,昌泰醫科股份有限公司,2017/07/09~2018/02/09

  3. SpO2-PPG與ECG分析優化與進階延伸應用分析,昌泰醫科股份有限公司,2018/05/01~2018/12/31

  4. 算術問題解決能力與腦波變化之研究,科技部,2018/08/01~2019/07/31

  5. 防止VR暈眩的警告系統,群蘊科技股份有限公司,2016/12/15~2017/06/15

  6. 混合多模型預測系統:顯示器市場上的案例研究,科技部,103/08/01~104/07/31

D. Book Chapter

  1. T. Y. Sun, C. C. Liu, C. L. Lin, S. T. Hsieh, and C. S. Huang, “A Radial Basis Function Neural Network with Adaptive Structure via Particle Swarm Optimization,” Chapter 26, Particle Swarm Optimization, Edited by Alexander Zemliak, I-Tech, Jan. 2009.

E. 碩士論文

  1. 論文名稱:運用蜂群智慧於類神經網路參數最佳化的研究  指導教授:孫宗瀛

F. 博士論文

  1. 論文名稱:視覺動作追蹤任務中觸覺回饋輔助之生理變化  指導教授:林進燈

G. 指導研究生之碩士論文

  1. 曾洲豪,“以標準粒子群演算法為基礎之心電圖R峰值優化檢測”,明志科技大學碩士論文,2017。
  2. 鄭亦忠,“智慧居家醫療監控系統設計”,明志科技大學碩士論文,2017。
  3. 許竣翔,“雲端智慧型環境監測系統”,明志科技大學碩士論文,2017。

 

 

 

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