游寶達（資訊工程學系）

姓名：游寶達

職稱：教授

學歷：美國普渡大學電機工程學博士

研究室：工學院資工館309室

E-mail：csipty@ccu.edu.tw

分機：05-2720411轉33104

研究專長：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、網路數位學習、電子商務、多媒體系統設計

經歷：

學歷：

授課領域：類神經網路、模糊系統、離散數學、線性代數、程式設計、Web Services、數位信號處理、資訊科教材教法

期刊論文：

1. 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)
2. C.-C. Yao and Pao-Ta Yu, “Oblique Support Vector Machines,” accepted by Informatica. (SCI)
3. 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)
4. 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)
5. 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)
6. 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)
7. 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)
8. 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.
9. Chung-Ming Own and Pao-Ta Yu, “Forecasting Fuzzy Time Series with Heuristic High Order Models,” Cybernetics and Systems, 36, 1-13, 2005. (SCI)
10. 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)
11. 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)
12. 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.
13. 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)
14. 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)
15. 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)
16. 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)
17. 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)
18. 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)
19. 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)
20. 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)
21. 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)
22. 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)
23. 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)
24. 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)
25. 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)
26. 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)
27. 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)
28. 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)
29. 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)
30. 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)
31. 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)
32. 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)
33. 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)
34. 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)
35. 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)
36. P.-T. Yu, “Some Representation Properties of Stack Filters,” IEEE Trans. on SP, vol. 40, no. 9, pp.2261 ~ 2266, Sept. 1992. (SCI)(EI)
37. 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)
38. 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)

國科會研究計畫：

1. 096智慧型運算技術應用於臉部表情辨識之研究
2. 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)
3. 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)
4. 095具有概念內涵的數位學習標準技術之研究-總計畫(3/3)
5. 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
6. 094具有概念內涵的數位學習標準技術之研究-總計劃(2/3)
7. 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)
8. 094高階型模糊推論系統之進階研究及應用推展
9. 093具有概念內涵的數位學習標準技術之研究-總計劃(1/3)
10. 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)
11. 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
12. 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)
13. 092基於科技導向之可建構式學習構面研究(2/2)
14. 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)
15. 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)
16. 092基於科技導向之可建構式學習構面研究(2/2)
17. 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
18. 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)
19. 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
20. 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
21. 091科技導向之可建構式學習面研究(1/2)
22. 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)
23. 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)
24. 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
25. 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

教育部研究計畫：

1. 095嘉義縣1區偏鄉數位機會中心第二期輔導計畫
2. 095 95年六大學習網入口網站與教材交換建置計095嘉義縣1區偏鄉數位機會中心第二期輔導計畫
3. 094 94年城鄉學校數位落差輔導與評估計畫
4. 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
5. 094 94年大專院校數位學習訪視計畫
6. 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）
7. 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
8. 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
9. 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」
10. 092二年度大專院校數位學習訪視計畫
11. 092九十二年度大專院校數位學習訪視計畫
12. 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

經濟部研究計畫：

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

校內數位學習中心研究計畫：

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

其他計畫：

1. 096 07年惠普科技高等教育教學改善計畫

其他：

1. 榮獲八十、八十一、八十四至九十年度國科會甲種獎。
2. 榮獲八十二、八十三年度國科會優等獎。
3. 榮獲國立中正大學八十四、九十一學年度教師研究傑出獎。