國立高雄科技大學電子工程系

研究領域

1. 智慧型演算法
2. 數位訊號處理與應用
3. 微控制器應用

研究計畫

1. 改進粒子群最佳演算法結合細胞神經網路在彩色影像雜訊銷消除的應用 (2012 校內教師專題研究計畫)
2. 智慧型演算法在LTE-Advanced 網路規劃之最佳化應用 (2014 校內教師專題研究計畫)
3. AIS行動中繼傳輸技術與解碼資料庫建置 (2017深耕海洋特色跨校區研究計畫), 2018.08 -2019.08

研究興趣

1. 智慧型演算法
2. 數位訊號處理與應用
3. 微控制器應用

1. 改進粒子群最佳演算法結合細胞神經網路在彩色影像雜訊銷消除的應用 (2012 校內教師專題研究計畫)
2. 智慧型演算法在LTE-Advanced 網路規劃之最佳化應用 (2014 校內教師專題研究計畫)
3. AIS行動中繼傳輸技術與解碼資料庫建置 (2017深耕海洋特色跨校區研究計畫), 2018.08 -2019.08

1. 改進粒子群最佳演算法結合細胞神經網路在彩色影像雜訊銷消除的應用 (2012 校內教師專題研究計畫)
2. 智慧型演算法在LTE-Advanced 網路規劃之最佳化應用 (2014 校內教師專題研究計畫)
3. AIS行動中繼傳輸技術與解碼資料庫建置 (2017深耕海洋特色跨校區研究計畫), 2018.08 -2019.08

Journal papers

1. Te-Jen Su*, Kun-Liang Lo, Chia-Lin Chung, Jason Sheng-Hong Tsai , Jui-Chuan Cheng, 2019,Design of power control for ultrasonic cleaning systems based on hybrid PID/fuzzy methodology, Microsystem Technologies,pp1-9. (SCI)
2. Jui-Chuan Cheng, Chao-Yuan Chiu, Te-Jen Su*,Training and Evaluation of Human Cardiorespiratory Endurance Based on a Fuzzy Algorithm,2019, International Journal of Environmental Research and Public Health, https://doi.org/10.3390/ijerph16132390. (SCI)
3. Te-Jen Su*, Yi-Feng Chen, Jui-Chuan Cheng, Chien-Liang Chiu, An artificial neural network approach for wafer dicing saw quality prediction,2018, Microelectronics Reliability, 91, Part 2, December 2018, Pages 257-261 ,( DOI:10.1016/j.microrel.2018.10.013.)
4. Jason Sheng Hong Tsai,Te-Jen Su, Jui-Chuan Cheng, Yun-You Lin, Van-NamGiap, Shu Mei Guo & Leang San Shieh,”Robust observer-based optimal linear quadratic tracker for five-degree-of-freedom sampled- data active magnetic bearing system”,2018,International Journal of Systems Science, pp.1273-1299.(SCI)
5. Te-Jen Su,* Yi-Feng Chen, Jui-Chuan Cheng, and Chien-Liang Chiu,2018, “Design of UV Laser Parameters on Grooving Depth for Die Attach Film”, Sensors and Materials, Vol. 30, No. 4 (2018) 885–891.(SCI)
6. Te-Jen Su*, Yi-Feng Chen, Jui-Chuan Cheng, Chien-Liang Chiu, 2017,”Optimizing the dicing saw parameters of 60 lm wafer dicing street”, Microsystem Technologies,pp1-7. (SCI)
7. Te-Jen Su,Jui-Chuan Cheng and Yu-Jen Lin, 2012, “Cellular Neural Network Based on Hybrid Linear Matrix Inequality and Particle Swarm Optimization for Noise removal of Color Image”, Advanced Materials Research(AMR), vol. 422 pp.771-774. (EI)
8. Te-Jen Su, Jui-Chuan Cheng and Chia-Jung Yu, 2010, “An adaptive channel equalizer using self-adaptation bacterial foraging optimization,” Optics Communications, Contents lists available at ScienceDirect, 2010, vol.283, no.20, pp.3911-3916. (SCI)

Conference papers

1. Te-Jen Su*,Shin-Ming Wang and Jui-Chuan Cheng,2018, “A Based on Fuzzy Theory to Forecast the Occurrence of Diabetes”,2018 International Conference on Science,Engineering,Vocational Education and Novelty,April.11-15, Kyoto, Japan.
2. Te-Jen Su*,Yi-Feng Chen,Jui-Chuan Cheng and Chien-Liang,2018, “Muti-Chips Co-Layout of Printted Circuit Board Design Base on Particle Swarm Optimization”,2018 International Conference on Science,Engineering,Vocational Education and Novelty,April.11-15, Kyoto, Japan.
3. Te-Jen Su, Jui-Chuan Cheng,Hong-Yan Lin,Chun-Wang Wei, 2017, “The Fatigue analysis for early Warning System Based on Fuzzy Algorithm”, Applied System Innovation(ICASI),May13-May17,Sapporo,Japan,DOI:10.1109/ICASI.2017.7988254.
4. Te-Jen Su, Jui-Chuan Cheng, Yu-Ming Cao, Chien-Yuan Pan, 2017, “The Temperature Prediction System of Automobile Engine Based on Fuzzy Algorithm”, Applied System Innovation (ICASI), May 13-May 17, Sapporo, Japan, DOI: 10.1109/ICASI.2017.7988617.
5. Jui-Chuan Cheng, Te-Jen Su, Chong-Guang Chen, Chien-Yuan Pan, “A personal computer cooling system based on adaptive neuro-fuzzy inference systems”, Applied System Innovation (ICASI), May.26-May.30, 2016, Okinawa, Japan, DOI: 10.1109/ICASI.2016.7539818.
6. Te-Jen Su, Shih-Mine Wang, Yi-Feng Chen, Tung-Yeh Tsou and Jui-Chuan Cheng, 2015, “Investigating the Usability of Electronic Document Management Systems in Government Organizations from a Human Factor Engineering Perspective”, 7^th International Conference on Signal Processing System, Remote Sensing and Development, Auckland, New Zealand, Nov.30-Dec.02 ,2015.
7. Jui-Chuan Cheng, Te-Jen Su, Tsung-Ying Li, Chia-Hua Wu, 2015, “The Noise Reduction of Speech Signals Based on RBFN”, 2015 International Conference on Intelligent Information Hiding and Multimedia Signal Processing, Adelaide, Australia, Sep.23-Sep.25, 2015.
8. Jui-Chuan Cheng, Te-Jen Su, Tung-Yeh Tsou, Cheng-Hung Hung, &Chong-Guang Chun, 2015, “An Hybrid method of NN and Fuzzy Theory for a PID controller of LEO Satellite Tracking Systems”, MEITA 2015, International Conference on Management Engineering and Information Technology Application, Hong Kong, Apr.19-Apr.20, 2015.
9. Jui-Chuan Cheng, Te-Jen Su, Hao-Wei Hung, Chien-Liang Chiu, 2014, “An Application to LTE-Advance Network Design Based on Particle Swarm Optimation Algorithm”, International Conference on Advances in Computing, Electronics and Electrical Technology (CEET 2014), December 20, Kuala Lumpur, Malaysia.
10. Te-Jen Su, Hao-Wei Hung, Jui-Chuan Cheng, Chung-Hon Hsieh, Cheng-Hong Hong, 2014, “Fuzzy Theory Application to the Satellite Antenna Controller”, 2014 International Conference on Information Science, Electronics and Electrical Engineering (ISEEE 2014), April 27, pp.57, Sapporo, Japan.
11. Te-Jen Su, Chien-Fang Lo, Chun-Sheng Chiu, Jui-Chuan Cheng, 2013 “Solar Tracking Control System Based on a hydrid BFO/PSO”, IEEE International Symposium on Next-Generation Electronics, (ISNE2013) Feb 25-26, 2013, Kaohsiung, DOI: 10.1109, Taiwan, O.C.
12. Te-Jen Su, Jui-Chuan Cheng, Yang-De Sun, 2011, “Particle Swarm Optimization with Time-Varying Acceleration Coefficients Based on Cellular Neural Network for Color Image Noise Cancellation” The Sixth International Conference on Digital Telecommunications, pp.109-115.
13. Jui-Chuan Cheng, Te-Jen Su, Ming-Yuan Huang, Chi-Yuan Juang, 2011, “Artificial Neural Networks Design based on Modified Adaptive Particle Swarm Optimization”, 2011 International Conference on Next Generation Information Technology(ICNIT2011), Hilton Hotel Gyeongju, Korea, 21-23 Jun, pp.201-206.
14. Te-Jen Su, Guan-Yu Chen, Jui-Chuan Chengand Chia-Jung Yu, 2010, “Fuzzy PID Controller Design using Synchronous Bacterial Foraging Optimization”, ICIS2010 International Conference on Information Sciences and Interaction Sciences, the Chengdu Wangjiang Hotel, China- Chengdu, 23-25 Jun., pp.639-642.
15. Te-Jen Su, Li-Wei Chen, Chia-Jung Yu and Jui-Chuan Cheng, 2010, “Fuzzy PID Controller Design using Self Adaptive Bacterial Foraging Optimization”, SICE Annual Conference 2010, the Taipei Grand Hotel, Taiwan-Taipei, 18-21 Aug. pp.2604-2607.

計算機概論

計算機程式設計

微算機原理

數位信號處理

工程軟體實務應用

1. 優良導師獎 (2016)
2. 研討會最佳論文獎 – A Personal Computer Cooling System Based on Adaptive Neuro-Fuzzy Inference Systems (IEEE ICASI 2016, Okinawa, Japan)
3. 研討會最佳論文獎 – The Temperature Prediction System of Automobile Engine Based on Fuzzy Algorithm (IEEE ICASI 2017, Sapporo, Japan)
4. 研討會最佳論文獎 – Training and Evaluation of Cardiorespiratory Endurance for Human Body Based on Fuzzy Algorithm (IEEE ECBIOS 2019, Okinawa, Japan)
5. 研討會最佳論文獎 – Power Demand Side Management for Time-of-Use Pricing Based on Particle Swarm Optimization (IEEE ECICE 2019, Yunlin, Taiwan)