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游寶達
職稱 教授
分機 33104
Email csipty@ccu.edu.tw
最高學歷

美國普渡大學電機工程研究所 博士

專長領域

類神經網路、模糊系統 、 非線性濾波器 、 智慧型網路、智慧型電腦輔助學習 遠距教學、網路數位學習、電子商務、多媒體系統設計

經歷

國立中正大學 數位學習中心  主任

國立中正大學 圖書館  館長

國立中正大學 資訊工程研究所 副教授

普渡大學 數學系 助教

東吳大學 電算系 講師

台灣師範大學 數學系 助教

  1. 游寶達, “決定樹(decision tree)的妙用:八宮不用背,” 資訊與教育,四月,1992。
  2. 游寶達, “數學方程式的文書排版處理探討,” 資訊與教育,十月,1995。
  3. 游寶達與黃仁竑 “虛擬實境與遠距教學,” 資訊與教育,十二月,1995。
  4. 寶達與黃仁竑, “類神經網路與模糊理論的系統設計理念,” 模糊系統學刊,一月,1996。
  5. 游寶達, “具有參數控制能力的模糊類神經網路,” 工程科技通訊, 第二十四期, 1997。
  6. 黃仁竑與游寶達, “電腦網路上的中小學教學相關資源與其運用策略,” 十週年紀念專刊,資訊與教育,1997。
  7. 游寶達, “遠距教學對CAI的影響,” 十週年紀念專刊,資訊與教育,1997。
  8. 游寶達, “Microsoft Word 97的一些使用新技巧,” RUN PC!,Jun,1997。
  9. 游寶達及襲充文,“心智模式取向之智慧型電腦輔助診斷學習系統研究成果”,科學發展月刊,第26卷,第8期,Aug,1998。
  10. 游寶達, “全球資訊網輔助學習系統的教材設計,” 資訊與教育,十月,1998。
  11. 游寶達及羅士哲, “電子商務的網路建設,” 資訊與教育,十二月,1999。
  12. 游寶達, “ADSL的疑問解答,” 資訊與教育,十二月,1999。
  13. 游寶達及翁仲銘, “融入學習理論於網路多媒體環境之建構探討,” 資訊與教育,四月,2001。
  14. 洪新原、游寶達、王俊程、黃士銘、古政元、張嘉銘, “應用差異理論來評估學員訓練績效之研究:以商業電子化人才培訓計劃為例,”資訊管理學報,第九卷,專刊期,91年2月,143-165頁。(TSSCI)
  15. 游寶達及劉明宗, “電子化學習之發展趨勢探討與分析,” 資訊與教育,六月,2002。
  16. 游寶達, “e-Learning標準SCORM已成形,” 資訊傳真週刊,657期,July 6,2002。
  17. 游寶達, “透視SCORM真面目 – 最具大一統實力的標準,” 網路通訊,137期,12月,2002。
  18. 游寶達及劉明宗, “符合數位學習標準之網頁教材設計,” 資訊與教育,四月,2003。
  19. 游寶達及張原豪, “服務導向技術對數位學習標準發展趨勢之影響探討,” 教育月刊,八月,2004。
  20. 薛祥元、黃士銘、游寶達, “適用於數位學習環境下顧客關係管理系統架構之研究”, 服務業管理評論,第一卷, 第一期 (to appear)
  21. P.-T. Yu and E.J. Coyle, “Convergence Behavior and N-roots of Stack Filters,” IEEE Trans. on ASSP, vol. 38, no. 9, pp.1529 ~ 1544, Sept. 1990. (SCI)(EI)
  22. P.-T. Yu and E.J. Coyle, “On the Existence and Design of the Best Stack Filter Based Associative Memory,” IEEE Trans. on Circuits and Systems, vol. 39, no. 3, pp.171 ~ 184, March 1992. (SCI)(EI)
  23. P.-T. Yu, “Some Representation Properties of Stack Filters,” IEEE Trans. on SP, vol. 40, no. 9, pp.2261 ~ 2266, Sept. 1992. (SCI)(EI)
  24. P.-T. Yu and E.J. Coyle, “The Classification and Associative Memory Capability of Stack Filters,” IEEE Trans. on SP, vol. 40, no. 10, pp.2483 ~ 2497, Oct. 1992. (SCI)(EI)
  25. M. Gabbouj, P.-T. Yu and E.J. Coyle, “Convergence Behavior and Root Signal Set of Stack Filters,” Circuit Systems and Signal Processing, vol. 11, no. 1, pp.171 ~ 193, Nov. 1992. (SCI)(EI)
  26. P.-T. Yu and W.-L. Wang, “Root Properties of Median Filters under Three Appending Strategies,” IEEE Trans. on SP, vol. 41, no. 2, pp.965 ~ 970, Feb. 1993. (SCI)(EI)
  27. R. Yang, M. Gabbouj and P.-T. Yu, “Parametric Analysis of Weighted Order Statistics Filters,” IEEE Signal Processing Letters, vol. 1, no. 6, pp.95 ~ 98, June 1994. (SCI)(EI)
  28. P.-T. Yu and K.-H. Fang, “An Associative Representation of Stack Neural Networks- Graph-Based Representation,” the Proceedings of the National Science Council, vol. 18, no. 4, pp.334 ~ 347, 1994. (SCI)
  29. P.-T. Yu and W.-H. Liao, “Weighted Order Statistics Filters - Their Classification, Some Properties and Conversion Algorithm,” IEEE Trans. on SP, vol. 42, no. 10, pp.2678 ~ 2691, Oct. 1994. (SCI)(EI)
  30. P.-T. Yu and C.-D. Chang, “The Discrete Iteration of Stack Neural Networks,” the Proceedings of the National Science Council, vol. 19, no. 1, pp.64 ~ 76, 1995. (SCI)
  31. R.-C. Chen and P.-T. Yu, “An Optimal Design of Fuzzy (m, n) Rank Order Filtering with Hard Decision Neural Learning,” Journal of Information Science and Engineering 11, pp. 567 ~ 593, 1995. (SCI)(EI)
  32. P.-T. Yu and R.-C. Chen, “Fuzzy Stack Filters - Their Definitions, Fundamental Properties and Application in Image Processing,” IEEE Trans. on Image Processing, vol.5, no. 6, IIPRE4, pp.838 ~ 854, June 1996. (SCI)(EI)
  33. P.-T. Yu and R.-C. Chen, “An Associative Representation of Stack Neural Networks - Maximum Stacking Vector Representation,” Journal of Information Science and Engineering, 12, No. 4, pp. 525 ~ 545, Dec 1996. (SCI)(EI)
  34. R.-C. Chen and P.-T. Yu, “On the Design of Fast Filtering Algorithm for Fuzzy Stack Filters,” Part A: Physical Science and Engineering, the Proceedings of the National Science Council, vol. 20, no. 6, Nov. 1996. (SCI)
  35. C.-S. Lee, Y.-H. Kuo and P.-T. Yu, “Weighted Fuzzy Mean Filters for Image Processing,” Fuzzy Sets and Systems, 89, pp. 157-180, 1997. (SCI)
  36. R.-C. Chen and P.-T. Yu, “Fuzzy Selection Filters for Image Restoration with Neural Learning,” IEEE Trans. on Signal Processing, vol. 47, no. 5, pp. 1446-1450, May 1999. (SCI)(EI)
  37. H.-H. Tsai and P.-T. Yu, “Adaptive Fuzzy Hybird Multichannel Filters for Removal of Impulsive Noise from Color Images,” Signal Processing, vol.7, no.2, pp. 127-151, April 1999. (SCI)(EI)
  38. H.-H. Tsai and P.-T. Yu, “Genetic-Based Fuzzy Hybrid Multichannel Filters for Color Image Restoration,” Fuzzy Sets and Systems, 114 (2000), 203-224, 2000. (SCI)(EI)
  39. H.-H. Tsai and P.-T. Yu, “On the Optimal Design of Fuzzy Neural Networks with Robust Learning for Function Approximation,” IEEE Trans. on Systems, Man, and Cybernetics B: Cybernetics, vol. 30, Feb. 2000. (SCI)(EI)
  40. R.-H. Hwang and P.-T. Yu, “PROMS: A PRO-active Monitoring System for SS7 Networks,” International Journal of Network Management, Vol. 10, No. 1, pp.17-27, 2000. (SCI)(EI)
  41. H.-H. Tsai, S.-H. Chen and P.-T. Yu, “On the Design of Neuro-Fuzzy Hybrid Multichannel Filters for Color Image Restoration,” Journal of Electronic Imaging, Vol. 9, No. 2, April 2000. (SCI)(EI)
  42. P.-T. Yu, H.-H. Tsai and J.-S. Lin, “Digital Watermarking Based on Neural Networks for Color Images,” Signal Processing 81, pp. 663-671, 2001. (SCI)(EI)
  43. Tzu-Chao Lin and Pao-Ta Yu, “Centroid Neural Network Adaptive Resonance Theory for Vector Quantization,” Signal Processing 83, pp. 649-654, 2003. (SCI)(EI)
  44. Hung-Hsu Tsai, Ji-Shiung Cheng, and Pao-Ta Yu, “Audio Watermarking Based on HAS and Neural Networks in DCT Domain,” Journal on Applied Signal Processing, vol. 2003, no. 3, 1 March 2003. (SCI)
  45. Tzu-Chao Lin and Pao-Ta Yu, “Partition Fuzzy Median Filter Based on Fuzzy Rules for Image Restoration,” Fuzzy Sets and Systems, vol. 147, pp.75-97, October, 2004. (SCI)
  46. Tzu-Chao Lin and Pao-Ta Yu, “Two-Pass Median Filter Based on Support Vector Machines for Image Restoration,” Neural Computation, Vol.16, No.2, pp.333-354, Feb. 2004. (SCI)
  47. Timothy K. Shih, Pao-Ta Yu, Wen-Chih Chang, and David J. T. Yang, “Distance Learning Standards: Technologies and Challenges,” Journal of Applied Systems Studies, special issue on “Distance Education”, 2004.
  48. Jin Tan David Yang, Pao-Ta Yu, Nian Shing Chen, Chun Yen Tsai, Chin Chin Lee, and Timothy K. Shih , "Using Ontology as Scaffolding for Authoring Teaching Materials," International Journal of Distance Education Technologies , Vol. 3 , No. 1, January-March 2005. (EI)
  49. S.-T. Li, Pao-Ta. Yu and C.-H. Lin, “On the Design of SCORM-compliant SMIL-enabled Multimedia Streaming E-Learning System,” International Journal of Distance Education Technologies, Vol. 3, No. 3, pp. 48-64, 2005. (EI)
  50. Chung-Ming Own and Pao-Ta Yu, “Forecasting Fuzzy Time Series with Heuristic High Order Models,” Cybernetics and Systems, 36, 1-13, 2005. (SCI)
  51. Shi-Ming Huang, Chun-Wang Wei, Pao-Ta Yu, Ta-Yi Kuo, “An Empirical Investigation on Learners’ Acceptance of e-Learning for Public Unemployment Vocational Training,” Int. J. Innovation and Learning, Vol. 3, No. 2, 2006.
  52. Tzu-Chao Lin and Pao-Ta Yu, “Thresholding Noise-free Ordered Mean Filter Based on Dempster-Shafer Theory for Image Restoration,” IEEE Transactions on Circuits and Systems-I, vol. 53, May 2006. (SCI)(EI)
  53. Tzu-Chao Lin and Pao-Ta Yu, “Impulse Noise Detection and Removal Using Multiple Thresholds for Image Restoration,” Journal of Information Science and Engineering, vol.22, pp.189-198, January 2006. (EI)
  54. Chung-Ming Own, Hung-Hsu Tsai, Pao-Ta Yu and Yao-Je Lee, “Adaptive Type-2 Fuzzy Median Filter Design for Removal of Impulse Noises,” the Imaging Science Journal, vol. 54, pp. 3-16, Mar. 2006. (SCI, EI)
  55. C.-C. Yao and Pao-Ta Yu, “Fuzzy Regression by Asymmetric Support Vector Machines,” Applied Mathematics and Computation, vol. 182, 2006, pp. 175-193. (SCI)
  56. C.-C. Yao and P.-T. Yu, “The Optimal Design of Weighted Order Statistics Filters by Using Support Vector Machines,” accepted by Applied Signal Processing. (SCI extended)
  57. C.-C. Yao and Pao-Ta Yu, “Oblique Support Vector Machines,” accepted by Informatica. (SCI)
  58. P.-T. Yu and C.-C. Yao, “Dichotomous Learning Algorithm for the Optimal Design of Weighted Order Statistics Filters,” accepted by Journal of Information Science and Engineering. (SCI)
  1. O.K. Ersoy, C.H. Chen, P.-T. Yu, and P. Yegani,“ Information Processing and Storage Based on Transforms and Neural Networks,” IEEE First Annual International Conference on Neural Computing, San Diego, California, June 1987.
  2. P.-T. Yu and E.J. Coyle, “The Classification and Associative Memory Capability of Stack Filters,” Proc. of 27th Annual Allerton Conf. on Communication, Control, and Computing, Ill., Sept, 1989.
  3. P.-T. Yu and E.J. Coyle, “On the Existence and Design of the Best Stack Filter Based Associative Memory,” the 1990 IEEE International Symposium on Circuits and Systems, New Orleans, May 1990.
  4. P.-T. Yu, “The And-Reducing VLSI Architecture of Median Filters,” The IEEE Workshop on Visual Signal Processing and Communications, National Chiao Tung University, Hsinchu, Taiwan, June 6-7, 1991.
  5. P.-T. Yu, “Some Representation Properties of Stack Filters,” the 1991 IEEE International Symposium on Circuits and Systems, Singapore, June 1991.
  6. P.-T. Yu and Wen-Long Wang, “Root Properties of Median Filters under Three Appending Strategies,” the 1991 IEEE International Symposium on Circuits and Systems, Singapore, June 1991.
  7. M. Gabbouj, E.J. Coyle and P.-T. Yu, “Convergence Behavior and Convergence Rates of Stack Filters,” the 1991 IEEE International Symposium on Circuits and Systems, Singapore, June 1991.
  8. P.-T. Yu, “Asymmetric Rank-Order Filters and Their Morphological Representations,” the 1992 IEEE International Symposium on Circuits and Systems, San Diego, May 1992.
  9. P.-T. Yu, “K-Monotonic Stack Filters,” the fifth Canadian conference on Electrical and Computer Engineering, Sept. 1992
  10. P.-T. Yu and Y.-W. Hung, “Strong Regular Stack Neural Networks,” the 1992 Neural Network Conference, Taipei, Taiwan, Dec. 1992.
  11. P.-T. Yu, “Two-Stage Stack Neural Networks,” the 1992 International Computer Symposium, Taiwan, Dec. 1992.
  12. P.-T. Yu and W.-H. Liao, “The Classification of Threshold Logic Based Stack Filters,” the 1993 IEEE Winter Workshop on Nonlinear Digital Signal Processing, Finland, Jan. 1993.
  13. P.-T. Yu and W.-H. Liao, “The Convergence Behavior of Symmetric Weighted Median Filters,” the 1993 IEEE Winter Workshop on Nonlinear Digital Signal Processing, Finland, Jan. 1993.
  14. P.-T. Yu and K.-H. Fang, “The Graph Representation of Stack Filters,” the 1993 IEEE Winter Workshop on Nonlinear Digital Signal Processing, Finland, Jan. 1993.
  15. P.-T. Yu and W.-H. Liao, “A Fast Algorithm for Checking the Relationship Between Stack Filters and Weighted Median Filters ", the 1993 IEEE International Symposium on Circuits and Systems, Chicago, May 1993.
  16. P.-T. Yu and K.-H. Fang, “Some Properties of Graph-Based Stack Filters,” IEEE International Conference on Signal Processing (ICSP'93/Beijing), Beijing, Oct. 1993.
  17. P.-T. Yu and C.-D. Chang, “The Global Filtering Behaviors of Stack Filters,” the 1993 National Computer Symposium, Chiayi, Taiwan, R.O.C., Dec. 1993.
  18. P.-T. Yu and R.-C. Chen, “Associative Positive Boolean Functions and Their Matrix Representations,” the 1993 National Computer Symposium, Chiayi, Taiwan, R.O.C., Dec. 1993.
  19. P.-T. Yu and C.-S. Lee, “Adaptive Fuzzy Median Filter,” the 1993 International Symposium on Artificial Neural Networks, Hsinchu, Taiwan, R.O.C., Dec. 1993.
  20. S. J. Jiang and P.-T. Yu, “A Code Division Multiple Access Packet Radio Sub-system under Intelligent Network Concepts,” the 8th International Joint Workshop on Computer Communication, Taipei, Taiwan, R.O.C., Dec. 1993.
  21. R.-C. Chen and P.-T. Yu, “The Optimal Stack Filtering by Neural Learning Based on (m, n) Rank Order Filters,” the 1994 Workshop on Computer Applications, p168 ~ p172, Taichung, Taiwan, April, 1994.
  22. R.-C. Chen and P.-T. Yu, “Associative Positive Boolean Functions and Their Maximum Stacking Vector Representation,” the 1994 IEEE International Symposium on Circuits and Systems, London, May 1994.
  23. R. Yang, M. Gabbouj and P.-T. Yu, “Parameter Analysis of Weighted Order Statistic Filters,” the 1994 IEEE International Symposium on Circuits and Systems, London, May 1994.
  24. P.-T. Yu and C.-S. Lee, “Fuzzy Mean Filter and its Application in Image Processing,” 中華民國第二屆模糊理論與應用研討會, Taipei, Taiwan, Sept. 1994.
  25. P.-T. Yu and R.-C. Chen, “On the Design of a Mixed Fuzzy Stack Filter in the Fuzzy Space Formed by the Asymmetric Median Filters,” the 10the Workshop on Combinatorial Mathematics and Computation Theory, Dec. 9, 1994.
  26. P.-T. Yu, “Threshold Logic Based Neural Filters with Nonnegative Weights and Threshold Values - Their Classification and Retrieval Behaviors,” the 1994 International Computer Symposium, Taiwan, Dec. 1994.
  27. P.-T. Yu and D.-S. Chen, “A Fast and Efficient Learning Algorithm of Adaptive Weighted Order Statistics Filters,” the 1994 International Symposium on Artificial Neural Networks, Tainan, Taiwan, R.O.C., Dec. 1994.
  28. P.-T. Yu and R.-C. Chen, “An Associative Representation of Stack Neural Networks - Maximum Stacking Vector Representation,” the 1994 International Symposium on Artificial Neural Networks, Tainan, Taiwan, R.O.C., Dec. 1994.
  29. A. Taguchi, M. Gabbouj, I. Tabus and P.-T. Yu, “Adaptive Fuzzy WOS Filtering,” the 1994 International Symposium on Artificial Neural Networks, Tainan, Taiwan, R.O.C., Dec. 1994.
  30. R.-C. Chen and P.-T. Yu, “An Optimal Design of Fuzzy (m, n) Rank Order Filtering with Hard Decision Neural Learning,” the 1995 IEEE International Symposium on Circuits and Systems, Seattle, April 1995.
  31. P.-T. Yu and R.-C. Chen, “Fuzzy Stack Filters - Their Definitions, Fundamental Properties and Application in Image Processing,” the 1995 IEEE Workshop on Nonlinear Signal and Image Processing, Greece, June 1995.
  32. P.-T. Yu, “Fuzzy Stack Neural Networks with Parameter Control,” 1995人工智慧研討會,台大,台北,九月,1995。
  33. P.-T. Yu and R.-H. Hwang, “Fuzzy Rank Ordering,” 1995人工智慧研討會,台大,台北,九月,1995。
  34. C.-S. Lee, Y.-H. Kuo and P.-T. Yu, “Weighted Fuzzy Mean Filters for Heavy-Tailed Noise Removal,” ISUMA-NAFIPS’95, College Park, Maryland, USA, Sept. 1995.
  35. P.-T. Yu and Y.-C. Hsiao, “On the Optimal Design of T-norm and T-conorm Based Fuzzy Weighted Order Statistic Filters with Neural Learning in the Application of Image Processing,” the 1996 IEEE International Symposium on Circuits and Systems, Atlanta, May 1996.
  36. R.-C. Chen and P.-T. Yu, “Nonlinear Filter Design Based on Rank Conditioned Framework in Image Processing,” the IASTED International Conference, Signal and Image Processing and Applications - SIPA 96, Annecy, France, June 1996.
  37. R.-C. Chen and P.-T. Yu, “On the Optimal Design of Rational Rank Selection Filters for Image Restoration,” the 1996International Conference on Image Processing, Lausanne, Switzerland, Sept. 1996.
  38. Pao-Ta Yu and Hung-Hsu Tsai, “On the Design and Study of Adaptive Capability for Neural Network Filters in Image Restoration,” the 1996 International Computer Symposium, Taiwan, Dec. 1996.
  39. Rong-Chung Chen and Pao-Ta Yu, “On the Optimal Design of Fuzzy Rank Selection Filters for Image Restoration,” the 1997 IEEE International Symposium on Circuits and Systems, Hong Kong, June 1997.
  40. Rong-Chung Chen and Pao-Ta Yu, “Nonlinear Filter Design Based on Fuzzy Inference Rules for Image Processing,” the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island, Michigan, USA, Sept. 1997.
  41. Hung-Hsu Tsai, Shih-Che Lo and Pao-Ta Yu, “Rank-Ordered Neural Network Filters for Image Rstoration,” the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island, Michigan, USA, Sept. 1997.
  42. Pao-Ta Yu and Jia-Hong Wu, “On the Design of Adaptive Fuzzy Regression Selection Filter with the Application of Image Restoration.,” the 1997 IEEE Workshop on Nonlinear Signal and Image Processing, Mackinac Island, Michigan, USA, Sept. 1997.
  43. Hung-Hsu Tsai and Pao-Ta Yu, “Color Image Filters Based on Ordered Vectors and Fuzzy Rulers,” the 1997 Fifth National Conference on Fuzzy Theory and Applications, Tainan, Taiwan, Dec. 1997.
  44. Hung-Hsu Tsai and Pao-Ta Yu, “Adaptive Color Image Filters Based on Fuzzy Impulse Detectors,” the 1997 International Symposium on Multimedia Information Processing, Taipei, Taiwan, Dec. 1997.
  45. P.-T. Yu, H.-H. Tsai and S.-H. Chen, "Fuzzy Hybrid Multichannel Filters Based on Radical-Basis Function Networks for Color Image Restoration," the 6th National Conference on Fuzzy Theory and Applications, CHAO-YANG UNIVERSITY OF TECHNOLOGY, Wufeng, Taichung County, Taiwan, Dec. 1998.
  46. H.-H. Tsai and P.-T. Yu, "Color Image Restoration Using Genetic-Based Fuzzy Hybrid Multichannel Filters to Remove Impulsive Noises," the 6th IEEE International Workshop on Intelligent Signal Processing and Communication Systems, Melbourne AUSTRALIA, 4-6 November 1998.
  47. P.-T. Yu and J.-C. Chi, “網路互動教材的益智功能之研究與設計,” 中華民國第十三屆電腦輔助教學研討會,台中,五月,1999。
  48. H.-H. Tsai and P.-T. Yu, “Adaptive Fuzzy Hybrid Multichannel Filters for Color Image Restoration, ” the 1999 IEEE Workshop on Nonlinear Signal and Image Processing, Antalya, Turkey, June 1999.
  49. Pao-Ta Yu, Lih-Shing Wang, Chung-Ming Own and Hisen-Keng Lin, “Intelligent Computerized Adaptive Test,” the 7th International Conference on Computers in Education, Chiba, Japan, 4-7 November 1999.
  50. P.-T. Yu and C.-C. Chu, “Computerized Adaptive Test Based on Fuzzy Rules,” the 4th Global Chinese Conference on Computers in Education, Singapore, May, 2000.
  51. 游寶達、方政楷、翁仲銘, “Building Learning Bridge between Theory and Technology,” 第十四屆電腦輔助教學研討會,台中,十月,2000。
  52. Pao-Ta Yu, Chung-Ming Own, “Mining Time Series with Fuzzy Association Rules for Forecasting Enrollments,” ICS2000, Chiayi, Taiwan, Nov. 2000.
  53. Hung-Hsu Tsai , Ji-Shiung Cheng and Pao-Ta Yu, “Audio Watermarking Based on Neural Networks in DCT Domain,” ICS2000, Chiayi, Taiwan, Nov. 2000.
  54. Pao-Ta Yu, Hung-Hsu Tsai and Ji-Shiung Cheng, “Copyright Protection of Audio Using a Signal-Dependent Watermark Based on Neural Networks and Psychro-acoustic Models,” 第五屆人工智慧與應用研討會, Taipei, Taiwan, Nov. 2000.
  55. Pao-Ta Yu, Chung-Ming Own and Mu-Cchao Wang, “On the Design of Internet-Based Monitoring System with Intelligent Technology,” 2000中華民國第八屆模糊理論及其應用會議, Taipei, Taiwan, Nov. 2000.
  56. P.-T. Yu, H.-H. Tsai and J.-S. Lin, “Digital Watermarking Based on Neural Networks for Color Images,” 2001 EEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, Baltimore, Maryland, USA, 2001.
  57. Pao-Ta Yu, Chung-Ming Own, and Li-Wey Lin, “On the Learning Behavior Analysis of Web Based Interactive Environment,” ICCE 2001, Korea, Dec. 2001.
  58. Pao-Ta Yu , Chung-Ming Own, and Yu-Tsu Tseng, “The XML-Based Equation Technology for Mathematical Learning,” ICCE 2001, Korea, Dec. 2001.
  59. Pao-Ta Yu , Chung-Ming Own, and Yu-Tsu Tseng, “The XML-Based Equation Technology for Mathematical Learning,” The 1st International Conference on Web-based Learning, HK, Aug. 2002.
  60. Pao-Ta Yu and Ming-Tsung Liu, “e-Learning and Related Standards: On the Study of e-Learning Standardization for the Loose and Tight Frameworks,” International Workshop on e-Learning Science and Technology, Shanghai, China, Nov. 2002.
  61. Tzu-Chao Lin and Pao-Ta Yu, “A new unsupervised competitive learning algorithm for vector quantization,” in Proc. 9th International Conference on Neural Information Processing, ICNOIP’2, Singapore, Nov. 2002.
  62. Pao-Ta Yu and Chung-Ming Own, “Mathematical Education Technology Based on the Theory of Cognitive Constructivism and Concept Map,” ICCE 2002, New Zealand, Dec. 2002.
  63. Chung-Ming Own, Chien-Tsang Chen and Pao-Ta Yu, “Expert Tutoring System for Teaching Mathematics by Tablet PC,” ICCAI 2003, Taipei, Taiwan, R.O.C., April 2003.
  64. Pao-Ta Yu and Ming-Tsung Liu, “On the Study of e-Learning Standards in Business Logic Level for Developing Reusable and Interoperable Software Components,” WISCS 2003, Kaoshung, Taiwan, R.O.C., April 2003.
  65. Tzu-Chao Lin and Pao-Ta Yu, “Application of partition fuzzy median type filters for suppressing noise in image restoration,” in Proc. IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing, NSIP03 , Trieste, Italia, June 2003.
  66. Jin-Tan David Yang, Pao-Ta. Yu, and Chi-Chin Lee, “Using Ontology as Recommending Strategy--A Case of Mathematics Courses at Junior High School Level,” ICCE 2003, Hong Kong, Dec. 2003.
  67. Pao-Ta Yu and Yuan-Hou Chang, “On the Design of an Intelligent SCORM Conformance System Adopting Web Services and Advanced Learning Technology,” GCCCE 2004, Hong Kong, June 2004.
  68. C.-C. Yao and P.-T. Yu, “Oblique Support Vector Machines,” in Proc. ISIMP, Hong Kong, October 2004, pp. 699-702.
  69. P.-T. Yu and Yuan-Hou Chang, “A Dynamically Semantic Validation System of Learning Object Metadata Based on Web Services,” 第六屆海峽兩岸資訊技術研討會,南京,11月,2004。
  70. Chung-Ming Own, Pao-Ta Yu, Hung-Hsu Tsai and Yao-Ju Lee, “Adaptive Type-2 Fuzzy Median Filters for Removal of Impulsive Noises,” NSIP 2005, May, Japan.
  71. Chih-Chia Yao and Pao-Ta Yu, “Oblique Supports Vector Machines,” NSIP 2005, May, Japan.
  72. Pao-Ta Yu, Hsiu-Wen Li and Chia-Ming Liu, “The Study of Adaptive Learning Sequence in the Knowledge Space based on Formal Concept Analysis,” NCS2005, Tainan, Taiwan.
  73. Pao-Ta Yu, Yen-Shou Lai and Jiunn-Yuh Wu, “Using ICT with Competence Indicators for the Learning of Mathematics,”NCS2005, Tainan, Taiwan.
  74. Pao-Ta Yu, Yuan-Hau Chung, Hung-Chun Lai and Ting-Wen Chang “On the Design and Application of Presenting and Teaching Aided System Based on Dual-Display Technology,”NCS2005, Tainan, Taiwan.
  75. Chung-Ming Own and Pao-Ta Yu, “Reasoning Partially True Knowledge by Type-2 Similarity,” the 17th International Conference on Information Management (ICIM 2006).
  76. Pao-Ta Yu, “How to Apply Learning Technology to Improve the Teaching Quality,” keynote speaker, 2006 Symposium on Digital Learning, May,屏東教育大學。
  77. Bae Muu Chang and Pao-Ta Yu, “Handwritten Character Recognition Using Similarity Rating”, International Conference on Business and Information, July 12-14, 2006, Singapore.
  78. Pao-Ta Yu, Yen-Shou Lai, Chia-Ming Liu, and Jenq-Muh Hsu, “The Development of a Grouping System in a Collaborative Learning Environment,” ICCE 2006, Peeking, China, Dec. 2006.
  79. Pao-Ta Yu, Li-Wei Hsiao, and Ting-Wen Chang, “Using Multi-Monitor Technology to Construct a Simultaneous Authoring and Synchronized Mathematical Teaching Aided System,” The 11th Asian Technology Conference in Mathematics – Advancing and Fostering Mathematical Sciences and Education through Technology, Hong Kong, Dec. 2006.

國科會計畫

  1. 091科技導向之可建構式學習面研究(1/2)
  2. 091 符合SCORM標準之學習元件及技術工具設計-總計劃:符合SCORM標準之學習元件及技術工具設計(1/2)
  3. 091 符合SCORM標準之學習元件及技術工具設計-子計劃一:符合SCORM標準及學習構面之教材元件及整合器設計(1/2)
  4. 091 教育導向的科學遊戲軟體設計製作計劃-多媒體網路益智園地
  5. 091 先進快速原型製造系統應用於產業自動化及電子化(3/3)--子計畫一:智慧型網際網路快速原型製造系統動態模擬系統之研發
  6. 092 基於科技導向之可建構式學習構面研究(2/2)
  7. 092 符合SCORM標準之學習元件及技術工具設計-總計畫:符合SCORM標準之學習元件及技術工具設計(2/2)
  8. 092 符合SCORM標準之學習元件及技術工具設計-子計畫一:符合SCORM標準及學習構面之教材元件及整合器設計(2/2)
  9. 092 基於科技導向之可建構式學習構面研究(2/2)
  10. 092 智慧型分類學習機制及管理技術之研發並應用於影像復原系統之設計
  11. 092 大學生跨領域科技能力培養研究計畫-網路違犯及不當行為診斷與預防科技教育學程研究計畫(2/3)
  12. 092 教育導向的科學遊戲軟體設計製作計畫-多媒體線上遊戲之開放式網路益智園地
  13. 092 從知識管理觀點探討教師應用資訊科技與教材設計之效能研究
  14. 093 具有概念內涵的數位學習標準技術之研究-總計劃(1/3)
  15. 093 具有概念內涵的數位學習標準技術之研究─概念式學習流程之研究及建置(1/3)
  16. 093 以證據理論和型態二模糊理論所研發之高階型模糊推理機制和其應用
  17. 093 大學生跨領域科技能力培養研究計劃-網路違犯及不當行為診斷與預防科技教育學程研究計畫(3/3)
  18. 094 具有概念內涵的數位學習標準技術之研究-總計劃(2/3)
  19. 094 具有概念內涵的數位學習標準技術之研究-概念式學習流程之研究及建設(2/3)
  20. 094 高階型模糊推論系統之進階研究及應用推展
  21. 095 具有概念內涵的數位學習標準技術之研究-概念式學習流程之研究及建置(3/3)
  22. 095 具有概念內涵的數位學習標準技術之研究-總計畫(3/3)
  23. 095 基於類神經網路、模糊推論及正規概念分析之智慧型計算技術研發及其臉部表情辨識之應用
  24. 096 數位學習環境之佈局、管理及使用-數位學習環境之佈局、管理及使用(1/3)
  25. 096 智慧型運算技術應用於臉部表情辨識之研究

教育部計畫

  1. 091 我國加入WTO對高等教育e-Learning之影響評估與整體因應策略
  2. 092 九十二年度「資訊種子學校建置與教師團隊培訓-中區(臺中縣/市、彰化縣、南投縣、雲林縣、嘉義縣/市、澎湖縣)輔導計畫」
  3. 092 二年度大專院校數位學習訪視計畫
  4. 092 九十二年度大專院校數位學習訪視計畫
  5. 093 中小學教師資訊科技素養基準制定計畫(子計畫-數學領域)
  6. 093 國家科學技術發展基金-數位學習國家型科技計畫-教育部計畫:教育部六大學習網入口網站與教材交換建置計畫
  7. 093 離島及偏遠地區中小學教師在職進修遠距教學人才培育計畫-數位學習平台服務
  8. 094 94年城鄉學校數位落差輔導與評估計畫
  9. 094 縮短城鄉數位落差-縮短學校數位落差對策之研擬與示範模示之建立計畫:分區子計畫
  10. 094 94年大專院校數位學習訪視計畫
  11. 095 95年六大學習網入口網站與教材交換建置計畫
  12. 095 嘉義縣1區偏鄉數位機會中心第二期輔導計畫

經濟部計畫

  1. 091至093 經濟部商業司‧商業電子化人才培訓計畫
  2. 092 資訊電子工業人才培訓計畫-e化課程建置計畫
  3. 094至95 商業服務業e化培訓計畫

其他計畫

  1. 096 07年惠普科技高等教育教學改善計畫

校內數位學習中心計畫

  1. 094 網路教學專業研習班
  2. 094 Flash基礎課程及Viewlet Builder研習班
  3. 095 數位學習及網路大學
  4. 096 數位學習及網路大學