陳良驊 副教授

分機 : 7723

Mail： whallis2000@mail.lhu.edu.tw

【專長】

【學歷】

【經歷】

【證照】

• 副教授證書(副字第141967號)，2016年
• Microsoft Certificate DAT263 Artificial Intelligence，2020年
• Arduino IoT Certified Engineer，2017年
• TQC+ 物件導向程式語言，2015年
• Parallax Certified Professional (PCP) for Arduino BOE-BOT Component，2013年

【研究計畫】

• 類神經網路模擬運算工具軟體研發，科技部計劃，2018
• 無線中文手寫輸入裝置研發，產學計劃，2015
• 適用於雲端資訊系統之可延展二位元有限場雙重基底乘法器之研究與發展，國科會計劃，2012

【著作】

• 碩博士論文
  • 博士論文：類神經網路之適應性學習法則及其應用 Adaptive Neural Network Learning Algorithms and their Applications
  • 碩士論文：即時移動目標偵測暨追蹤系統 Real-Time Moving Target Detecting and Tracking System
• 期刊論文
  • Liang-Hwa Chen, Yen-Ching Chang, Chiou-Yng Lee, Po-Lun Chang (2017, Mar). A Novel Scalable Dual Basis GF(2m) Multiplier Architecture. Journal of Computers, 28(1), 87-103. (EI).  Yen-Ching Chang, Chun-Ming Chang, Li-Chun Lai, and Liang-Hwa Chen (2014, Nov). Contrast Enhancement with Considering Visual Effects Based on Gray-Level Grouping. Journal of Marine Science and Technology, 22(4), 513-518. (SCI).
  • Yen-Ching Chang, Chun-Ming Chang, Li-Chun Lai, and Liang-Hwa Chen (2014, Nov). Contrast Enhancement with Considering Visual Effects Based on Gray-Level Grouping. Journal of Marine Science and Technology, 22(4), 513-518. (SCI).
  • Yen-Ching Chang, Chun-Ming Chang, Liang-Hwa Chen (2014, Mar). Evaluating Image Quality Using Consistent Grey Relational Grade. EngineeringComputations, 31(2), 231-249. (SCI).
  • Yen-Ching Chang, Li-Chun Lai, Liang-Hwa Chen, Chun-Ming Chang, Chin-Chen Chueh (2014, Feb). A Hurst exponent estimator based on autoregressive power spectrum estimation with order selection. Biomedical Materials and Engineering, 24(1), 1041-1051. (SCI).
  • Yen-Ching Chang, Chun-Ming Chang, Liang-Hwa Chen, Tung-Jung Chan (2013, Mar). A Multi-criteria Image Quality Evaluation Scheme. Applied Mechanics and Materials, 284-287, 2975-2979. (EI).
  • Liang-Hwa Chen, Yen-Ching Chang, Po-Lun Chang, Chun-Ming Chang (2013, Feb). A Novel Adaptive Fast Learning Algorithm for 2DPCA. Applied Mechanics and Materials, 311, 129-134. (EI).
  • Yen-Ching Chang,Liang-Hwa Chen, Li-Chun Lai,Chun-Ming Chang (2012, Sep). An Efficient Variance Estimator for the Hurst Exponent of Discrete-Time Fractional Gaussian Noise. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E95-A (9), 506-1511. (SCI).
  • Liang-Hwa Chen, Po-Lun Chang, Guo-Wei Lin and Yen-Ching Chang (2012, Feb). Intelligent Human Eye State Identification Based on 2DPCA and Skin Color. Applied Mechanics and Materials, Vol.145, P.252-P.256. (EI).
  • Liang-Hwa Chen, Po-Lun Chang, Chiou-Yng Lee and Ying-Kuei Yang (2011, Mar). Scalable and Systolic Dual Basis Multiplier over GF(2m). International Journal of Innovative Computing, Information and Control (IJICIC), Vol.7, No.3, pp.1193-1208. (SCI).
  • Liang-Hwa Chen, Po-Lun Chang, Fei-Hu Hsieh (2011, Feb). 2D Principal Component Analysis Using a Novel Learning Algorithm. ICIC Express Letters, Part B: Applications, Vol.2, No.1, pp.195-201. (EI).
  • Liang-Hwa Chen (2010, Jun). A Bayes Decision Rule Based Neural Network with Adaptive Conscientious Competitive Learning Algorithm. Journal of Cybernetics and Systems.
  • Po-Lun Chang, Liang-Hwa Chen, Chiou-Yng Lee (2009). Low-Complexity Dual Basis Digit Serial GF(2m) Multiplier. ICIC Express Letters, Vol. 3, No. 4(A), pp. 1113-1118. (EI)
  • Mou-Tai Chen and Liang-Hwa Chen, etc. (2006, Feb). The Design of IC Card Security Mechanism for Central Government Bonds Treasury Bills. TL Technical Journal, pp. 111-125.
  • Liang-Hwa Chen and Su-Ling Lee, etc. (1997). The Smart Tool of Intelligent Electronic Market Place\u2013Search Engine. TL Technical Journal, Vol. 27, No. 2, pp. 295-306.
  • Liang-Hwa Chen and Shyang Chang (1995). An Adaptive Learning Algorithm for Principal Component Analysis. IEEE Trans. on Neural Networks, Vol.6, No. 5, pp. 1255 -1263. (SCI, EI)
  • Liang-Hwa Chen and Shyang Chang (1994). An Adaptive Conscientious Competitive Learning Algorithm and Its Applications. Pattern Recognition, Vol. 27, No. 12, pp. 1787-1813. (SCI, EI)
  • Liang-Hwa Chen and Shyang Chang (1992). A Video Tracking System with Adaptive Predictors.Pattern Recognition, Vol. 25, No. 10, pp. 1171-1180. (SCI, EI)
• 研討會論文
  • Liang-Hwa Chen (2019, July). A Deep Learning Based National Flag Recognizer. International Conference on Advanced Technology Innovation 2019 (ICATI 2019), Sapporo, Hokkaido, Japan.
  • Yen-Ching Chang, Huai-Chun Hsu, Jen-Jieh Lee, Chin-Chen Chueh, Chun-Ming Chang, and Liang-Hwa Chen (2013, May). License Plate Character Recognition Using Block-Binary-Pixel-Sum Features. International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013), Beijing, China.
  • Liang-Hwa Chen,Po-Lun Chang,Yen-Ching Chang,Chiou-Yng Lee (2012, Mar). A Scalable Architecture for Dual Basis GF(2m) Multiplications. International Symposium on Biometrics and Security Technologies (ISBAST 2012), Taipei, Taiwan.
  • Po-Lun Chang, Fei-Hu Hsieh, Liang-Hwa Chen and Chiou-Yng Lee (2010, June). Efficient Digit Serial Dual Basis GF(2m) Multiplier. 5th IEEE Conference on Industrial Electronics and Applications (ICIEA 2010), pp. 166-170, Taichung, Taiwan.
  • Liang-Hwa Chen, Po-Lun Chang, Chun-Hong Huang (2010, July). Learning for Two-Dimensional Principal Component Analysis. The Third IEEE International Conference on Ubi-media Computing (U-Media 2010), pp. 217-221, Jinhua, China.
  • Po-Lun Chang, Liang-Hwa Chen, Chiou-Yng Lee (2009, Sep). Low-Complexity Dual Basis Digit Serial GF(2m) Multiplier. The Second International Symposium on Intelligent Informatics (ISII2009), pp. 1113-1118, Qin Huang Dao, China.
  • Liang-Hwa Chen, Po-Lun Chang, Chiou-Yng Lee (2009, Nov). Scalable Architecture for Dual Basis Multiplication over GF(2m). 2009 National Computer Symposium (NCS 2009), pp. 137-146, Sanshia, Taiwan.
  • Liang-Hwa Chen (2008, Nov). A Learning Algorithm for Two-Dimensional Principal Component Analysis. The 13th Conference on Artificial Intelligence and Applications (TAAI 2008), pp. 409-413, Yilan, Taiwan.
  • Liang-Hwa Chen (2007, Nov). Apply the Adaptive Conscientious Competitive Learning Algorithm to a Bayes Decision Rule Based Neural Network. The 12th Conference on Artificial Intelligence and Applications (TAAI 2007), pp. 501-507, Yunlin, Taiwan.
  • Liang-Hwa Chen and Shyang Chang (1992, Sep). An Improved Learning Algorithm for Principal Component Analysis. International Conference on Signal Processing Applications & Technology (ICSPAT '93), Vol. II, pp. 1049-1057, Santa Clara, California.