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'; Conference Papers | Prof. Shun-Feng Su

Conference Papers

  1. S. S.-D. Xu, C.-H. Wang, T.-C. Chang and S.-F. Su, “Multi-root I/O virtualization based redundant systems,” International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS & ISIS), Kitakyushu, Japan, 2014.
  2. Si-Hao Du, Jin-Tsong Jeng, Shun-Feng Su, and Chih-Ching Hsiao, “Feature Genes Selection and Classification with SVM for Microarray Data of Lung Tissue,” Joint 7th International Conference on Soft Computing and Intelligent Systems and 15th International Symposium on Advanced Intelligent Systems (SCIS & ISIS 2014), 2014.
  3. S. S.-D. Xu, S.-F. Su, R.-L. Chen, J.-H. Yuan, C.-H. Sun, P. Q. Phu, C.-C. Chang, C.-T. Su, and B.-Z. Kao, “Applying fuzzy SVM to liver ultrasound image analysis,” International Conference on Fuzzy Theory and Its Applications (iFuzzy), 2014.
  4. S. S.-D. Xu, S.-F. Su, R.-L. Chen, C.-H. Sun, G.-H. Tseng, C.-N. Tsai, C.-C. Chang, C.-T. Su, and B.-Z. Kao, “Fuzzy neural networks based ultrasound image analysis for liver diseases,” International Conference on Fuzzy Theory and Its Applications (iFuzzy), 2014.
  5. S. S.-D. Xu, S.-F. Su, R.-L. Chen, G.-H. Tseng, P. Q. Phu, C.-N. Tsai, C.-C. Chang, C.-T. Su, B.-Z. Kao, and H.-Y. Lou, “Applying fuzzy neural networks to liver ultrasound image analysis,” IEEE ICME International Conference on Complex Medical Engineering (CME),  2014.
  6. S. S.-D. Xu, J.-L. Wu, T.-C. Chang, C.-H. Wang, and S.-F. Su, “Study of terminal sliding mode control with fault-tolerant design,” IEEE International Conference on Control & Automation (IEEE ICCA), 2014.
  7. Shun-Feng Su, Ming-Chang Chen, Yi-Hsing Chien, Wei-Yen Wang, and Kuo-Kai Shyu, “Direct Adaptive Control via Decomposed Fuzzy Petri Net,” IEEE International Conference on Systems, Man, and Cybernetics, San Diego, USA, Oct. 2014.
  8. Shun-Feng Su, Ming-Chang Chen, Chung-Ying Li, and Wei-Yen Wang, “On-Line Adaptive T-S Simplified Fuzzy-Neural Control,” SICE Annual Conference, 2014.
  9. Chih-Ching Hsiao,Chen-Chia Chuang,Jin-Tsong Jeng, Shun-Feng Su. “A Weighted Granular Fuzzy-rough Approach for Attribute Reduction”. SICE Annual Conference 2014.
  10. Shun-Feng Su, Ming-Chang Chen, Chung-Ying Li, Wei-Yen Wang, and Wen-June Wang, “Dynamic Obstacle Avoidance Path Planning,” International Conference on System Science and Engineering, 2014.
  11. 簡宜興、陳銘滄、王偉彥、蘇順豐，“基於模糊派屈網路之群組主動式機器人的決策系統,” National Symposium on System Science and Engineering, Kinmen, Taiwan, June, 2014
  12. 徐勝均，蘇順豐，陳瑞麟，曾冠皓，孫敬勛，蔡健男，袁健豪，張君照，蘇千田，羅鴻源，高碧珍，「基於模糊支持向量機之肝臟癌症病變分類」，中華民國系統科學與工程研討會 (National Symposium on System Science and Engineering), 2014.
  13. S. S.-D. Xu, Y.-C. Li, S.-F. Su, S.-L. Weng, C.-H. Sun, J.-H. Yuan, G.-H. Tseng, P. Q. Phu, C.-N. Tsai, Computer vision based monitoring for infants, The 2nd Conference of Multi-Disciplines of Engineering on Advanced Technology and Environment Design (MDEATED), 2014.
  14. S. S.-D. Xu, Y.-C. Li, S.-F. Su, S.-L. Weng, G.-H. Tseng, J.-H. Yuan, C.-H. Sun, C.-N. Tsai, P. Q. Phu, Intelligent baby monitoring systems, The 2nd Conference of Multi-Disciplines of Engineering on Advanced Technology and Environment Design (MDEATED), 2014.
  15. Chih-Ching Hsiao,Chen-Chia Chuang,Jin-Tsong Jeng, Shun-Feng Su. “A Weighted Fuzzy Rough Sets based Approach for Rule Extraction,” SICE Annual Conference 2013.
  16. C.-C. Chung, S.-F. Su, J.-T. Jeng, D.-H. Lin, and W.J. Wang, "iOS based speed estimation for the video car recorder system," IEEE 9th International Conference on Computational Cybernetics, 2013.
  17. Y. Chou, B.‐C.Wang and S.‐F. Su, "Enhance intelligence video surveillance with 3‐D information," IEEE International Conference on System Science and Engineering, 2013.
  18. Y.‐H. Chang, W.‐S. Chan, C.‐Y. Yang, C.‐W. Tao, and S.‐F. Su, "Adaptive dynamic surface control for fault‐tolerant multi‐robot systems," IEEE International Conference on System Science and Engineering, 2013.
  19. G.‐R. Huang, S.‐F. Su, Q. Chen, Y.‐S. Lin, "Study on content‐independent feature matching systems for container images," IEEE International Conference on System Science and Engineering, 2013.
  20. Y.‐H. Chen, M.‐C. Chen, I‐H. Li, W.‐Y. Wang, S.‐F. Su "Image‐based obstacle avoidance and path‐planning system," IEEE International Conference on System Science and Engineering, 2013.
  21. C.‐P. Tsai, C.‐T. Chuang, M.‐C. Lu, W.‐Y. Wang, S.‐F. Su, and S.‐L. Chang, "Machine‐vision‐based obstacle avoidance system for robot system," IEEE International Conference on System Science and Engineering, 2013.
  22. 陳銘滄，簡宜興，李宜勳，王偉彥，蘇順豐，“影像式避障與路徑規劃系統”，中華民國第二十一屆模糊理論及其應用研討會，臺北，臺灣，2013.
  23. Chen-Chia Chuang, Jin-Tsong Jeng, Chih-Ching Hsiao and Shun-Feng Su, “A Novel Regression Approach for Symbolic Interval Data,” 2013 CACS International Automatic Control Conference (CACS 2013), 2013.
  24. Chen-Chia Chuang, Shun-Feng Su, Meng-Cheng Yang, Jin-Tsong Jeng, Chih-Ching Hsiao and C. W. Tao, “iPhone as multi-CAM and multi-viewer,” The 14th International Symposium on Advanced Intelligent Systems (ISIS 20.13), Korea, 2013.
  25. Chih-Ching Hsiao, Chen-Chia Chuang and Shun-Feng Su, “Robust Gaussian Kernel Based Approach for Feature Selection,” The 14th International Symposium on Advanced Intelligent Systems (ISIS 20.13), Korea, 2013.
  26. S.-F. Su, J. T. Jeng, Y.-S. Liu, C.-C. Chung and I. J. Rudas, " Robust radial basis function networks based on least trimmed squares-support vector regression," 2013 joint conference of IFSA World Congress and NAFIS Annual Meeting, 2013.
  27. Jen-Wei Yeh and Shun-Feng Su, “Learning analysis for correlation of fuzzy rules in applying RLS for neural fuzzy systems,” 2012 IEEE International Conference on Granular Computing, 2012
  28. C.-H. Yeh and S.-F. Su, "Enhance LANDMARC from the fundamentals," 2013 International Conference on Advanced Robotics and Intelligent Systems, 2013
  29. Yi-Ying Shih, Shun-Feng Su and Imre Rudas, “Fuzzy Based Hand-Shake Compensation for Image Stabilization,” 2012 International Conference on System Science and Engineering (ICSSE), 2012.
  30. Yao-Chu Hsueh, Shun-Feng Su, and Jen-Wei Yeh, “Adaptive Fourier Compensator Design for a Sliding Decoupling Control System,” Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2011.
  31. Jen-Wei Yeh, Shun-Feng Su and Imre Rudas, “Analysis of using RLS in Neural Fuzzy Systems,” Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, 2011.
  32. Yao-Chu Hsueh and Shun-Feng Su, “Direct adaptive fuzzy decoupled sliding control for a class of under-actuated uncertain systems,” International Conference on Machine Leaning and Cybernetics, 2011.
  33. C. C. Hsiao, S. F. Su and C. C. Chuang , “A Rough-based Robust Support Vector Regression Network for Function Approximation,” 2011 IEEE International Conference on Fuzzy Systems, June, 2011.
  34. Yao-Chu Hsueh and Shun-Feng Su, “Direct Adaptive Fuzzy Control For A Class of Under-actuated Uncertain Systems,” 2011 IFSA World Congress, 2011.
  35. Bin-Jen Lee, Shun-Feng Su, and Imre Rudas, “Content-Independent Image Processing Based Fall Detection,” 2011 International Conference on System Science and Engineering (ICSSE), 2011.
  36. Yao-Chu Hsueh and Shun-Feng Su, “Sliding PI controller designs with integral sliding surface for a class of nonlinear systems,” Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, pp. 1198 – 1203, 2010.
  37. T. Tao and S. F. Su, “The firmware controller － CMAC-based supervisory controllers on FPGA,” Proceedings of the IEEE International Conference on Systems, Man and Cybernetics, Istanbul, Turkey, Oct., 2010.
  38. Jen-Wei Yeh, Shun-Feng Su, Jin-Tsong Jeng and Bor-Sen Chen, “On learning analysis of neural fuzzy systems,” 2010 IEEE World Congress on Computational Intelligence, 2010.
  39. Yue-Shiang Liu, Shun Feng Su, Chen-Chia Chuang, Jin-Tsong Jeng, "Box-Cox transformation-based annealing robust radial basis function networks for skewness noises," 2010 International Conference on System Science and Engineering (ICSSE), 2010.
  40. Kuo-Ho Su, Yih-Young Chen and Shun-Feng Su, “Development of Intelligent Hospital Service Robot with Neural Image Identification,” The 6th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2009), pp. 300-303, Korea, Oct. 2009.
  41. Yao-Chu Hsueh and Shun-Feng Su, “Novel Direct Adaptive Fuzzy Control System Design,” Proceedings of 2009 IEEE International Conference on Systems, Man and Cybernetics, October 11-14, 2009. Finalist of Franklin V. Taylor Memorial award (the best paper award) in SMC2009
  42. Yao-Chu Hsueh and Shun-Feng Su, “Adaptive fuzzy sliding controller design with approximate error feedback,”  2009 IEEE Int. Conf. on Fuzzy Systems, Korea, August 20-24, pp. 1226-1231, 2009.
  43. Yao-Chu Hsueh and Shun-Feng Su, “Genetic adaptive scheme design for high initial gain problems in a L2-gain state feedback controller,” 2009 IEEE International Symposium on Intelligent Control, Saint Petersburg, Russia, July 8-10 pp.228-233, 2009.
  44. Kuo-Ho, Su, Yih-Young Chen, and Shun-Feng Su, “Design of neuro-fuzzy-based controller for two-autonomously-driven-wheeled robot," The Sixth International Symposium on Neural Networks (ISNN 2009), China, May 2009.
  45. Shun-Feng Su and I.H. Li, “Household Security and USB Interface Study in Smart Home,” CACS International Automatic Control Conference, November 21-23, 2008.
  46. Kuo-Ho Su and Shun-Feng Su, “Implementation of intelligently controlled two-autonomously-driven-wheeled robot,” The 5thInternational Conference on Ubiquitous Robots and Ambient Intelligence (URAI 2008), pp. 665-669, Korea, Nov. 2008.
  47. T. Tao and S. F. Su, “Using previous-step control and CMAC learning in relaxing bound limitation for supervisory adaptive fuzzy control systems,” Proceedings of the 2nd Cross-Strait Workshop on Control, pp. 122-127, Oct. 19-26, 2008.
  48. T. Tao and S. F. Su, "The CMAC tuning effects to improve the H∞ control performance," Proceedings of 2008 IEEE International Conference on Systems, Man and Cybernetics, Singapore, pp. 2331-2336, October 12-15, 2008. Finalist of Franklin V. Taylor Memorial award (the best paper award) in SMC2008
  49. Ming-Chang Chen, Wei-Yen Wang, I-Hsum Li, and Shun-Feng Su, "Dynamic slip ratio estimation and control of antilock braking systems considering wheel angular velocity," Proceedings of 2008 IEEE International Conference on Systems, Man and Cybernetics, Singapore, October 12-15, 2008.
  50. Yao-Chu Hsueh, Shun-Feng Su, and Wen-June Wang, “Self-Tuning Sliding Mode Controller Design for a Class of Nonlinear Control System,” Proceedings of 2008 IEEE International Conference on Systems, Man and Cybernetics, Singapore, October 12-15, 2008. Finalist of Franklin V. Taylor Memorial award (the best paper award) in SMC2008
  51. Song-Shyong Chen, Yuan-Chang Chang, Jeng-Lang Wu and Shun-Feng Su, “Fuzzy control design for switched nonlinear systems,” 2008 Annual Conference on SICE, Tokyo, Japan, 20-22 August, 2008.
  52. Chou-Yuan Lee, Shun-Feng Su, and Zne-June Lee, “Competitive Hopfield neural networks for ant colony systems,” 2008 National Symposium on System Science and Engineering,  June 6, I-Lan, Taiwan, 2008.
  53. Kuo-Ho Su and Shun-Feng Su, “Development of intelligently controlled two- autonomously-driven-wheeled vehicle,” 2008 National Symposium on System Science and Engineering Conference, Taiwan, June, 2008.
  54. Wang-Sheng Juang and Shun-Feng Su, “Improving the alignment results of ClustalW with particle swarm optimization,” 2008 National Symposium on System Science and Engineering, June 6, I-Lan, Taiwan, 2008.
  55. Song-Shyong Chen, Yuan-Chang Chang, Chen Chia Chuang and Shun-Feng Su ” Fuzzy tracking control design for nonlinear systems,” 2008 National Symposium on System Science and Engineering, June 6, I-Lan, Taiwan, 2008.
  56. Yao-Chu Hsueh and Shun-Feng Su, “Compensate controller design for solving the parameter drift problem of learning fuzzy control systems,” The 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), pp. 1112 – 1117, 2008.
  57. Wei-Yen Wang, I-Hsum Li, Shu-Chang Li, Men-Shen Tsai, and Shun-Feng Su, “A dynamic hierarchical fuzzy neural network for a general continuous function,” The 2008 IEEE World Congress on Computational Intelligence (WCCI 2008), June 2008.

(There are 75 conferecnel papers before 2008)