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PUBLICATIONS

Journal Publications

  1. Yuan-Hung Pong, Vincent F.S. Tsai*, Yu-Hsuan Hsu, Chien-Hui Lee, Kun-Ching Wang, Yu-Ting Tsai*, “Application of a deep learning neural network for voiding dysfunction diagnosis,” Applied Sciences, 2022, Volume 12, Issue 14, pp.1-17, Jul. 2022. (SCI)

  2. Chih-Cheng Chen, Ju Yan Ba, Tie Jun Li, Christopher Chun Ki Chan, Kun-Ching Wang* (通訊作者), and Zhen Liu, “EfficientNet: A Lowbandwidth IoT Image Sensor Framework for Cassava Leaf Disease Classification,” Sensors and Materials, Vol. 33, No. 11, pp.4031–4044, Nov. 2021. (SCI)

  3. Wei-Peng Tang, Sze-Teng Liong, Chih-Cheng Chen, Ming-Han Tsai, Ping-Cheng Hsieh, YuTing Tsai, Shih-Hsin Chen and Kun-Ching Wang*(通訊作者), “Design of Multi-Receptive Field Fusion-Based Network for Surface Defect Inspection on Hot-Rolled Steel Strip Using Lightweight Dataset,” Applied Sciences, Volume 11, Issue 20, pp.1-22, Oct. 2021. (SCI)

  4. Chao-Ming Huang, Jie Li, Xin Wang, Jian-Bin  Liao, Hong-Liang Yu, Chih-Cheng Chen and Kun-Ching Wang*(通訊作者), “Monitoring of Valve Gap in Diesel Engine Based on Vibration Response Feature Extraction,” Sensors and Materials, Vol.33, No.7(1), April 2021. (SCI)

  5. Kun-Ching Wang (單一作者), “Robust Audio Content Classification Using Hybrid-Based SMD and Entropy-Based VAD”, Entropy, Vol. 22, Issue 2, no.183, pp.1-24, Feb. 2020. (SCI)

  6. Yi-Horng Lai, Lan-Yuen Guo, Kun-Ching Wang, Jau-Woei Perng*, “Dynamical Control for the Parametric Uncertain Cancer Systems,” International Journal of Control, Automation and Systems, Vol. 18, pp.2411–2422, Feb. 2020. (SCI)

  7. Ying-Jen Chen*, Hao-Gong Chou, Wen-June Wang, Shun-Hung Tsai, Kazuo Tanaka, Hua O. Wang, and Kun-Ching Wang, “A polynomial-fuzzy-model-based synchronization methodology for the multi-scroll Chen chaotic secure communication system,” Engineering Applications of Artificial Intelligence, Volume 87, no.103251, pp.1-12, January 2020. (SCI)

  8. Shih-Hsin Chen*, Yeong-Cheng Liou, Yi-Hui Chen and Kun-Ching Wang, “Order Acceptance and Scheduling Problem with Carbon Emission Reduction and Electricity Tariffs on a Single Machine,” Sustainability, Vol. 11, Issue 19, no.5432, pp. 1-16, Sept. 2019. (SCI)

  9. K. C. Wang (單一作者), “Speech Emotion Classification using Texture Image Information Feature”, International Journal of Signal Processing System, vol.3, no.1, June, 2015.

  10. K. C. Wang (單一作者), “Time-Frequency Feature Representation Using Multi-Resolution Texture Analysis and Acoustic Activity Detector for Real-Life Speech Emotion Recognition,” SENSORS, Vol. 15, no. 1, pp. 1458-1478, Jan. 2015. (SCI)

  11. K. C. Wang (單一作者), “The Feature Extraction Based on Texture Image Information for Emotion Sensing in Speech,” SENSORS, Vol. 14, no. 9, pp. 16692-16714, Sept. 2014. (SCI)

  12. K. C. Wang (單一作者), “A Novel Voice Sensor for the Detection of Speech Signals,” SENSORS, Vo.13, No.12, pp.16533-16550, Dec. 2013. (SCI)

  13. K. C. Wang (單一作者), “Horizontal Spectral Entropy with Long-Span of Time for Robust Voice Activity Detection,” IEICE Trans. On Information and Systems, Vol.E96-D No.9 pp.2156-2161, Sept. 2013. (SCI)

  14. K. C. Wang (單一作者), “A Novel Approach Based on Adaptive Long-term Sub-band Entropy and Multi-thresholding Scheme for Detecting Speech Signal,” IEICE Trans. On Information and Systems, Vol.E95-D, No.11, pp.2732-2736, Nov. 2012. (SCI)

  15. K. C. Wang (單一作者), “Voice-Activity Detection Using Long-Term Sub-Band Entropy Measure,” IEICE Trans. On Fundamentals. Vol.E95-A, No.9, pp.1606-1609, Sept. 2012. (SCI)

  16. Chuin-Li Chin, Kun-Ching Wang, Wei-Zong Cheng, Wen-Yu Lin, “Multi-functional Health Monitoring System,” The Chung Shan Medical Journal, Vol. 22, pp.417-434, Dec. 2011.

  17. K. C. Wang (第一作者) and C. L. Chin, ‘’An Approach Using Combination of Multiple Features through Sigmoid Function for Speech-presence/absence Discrimination,’’ IEICE Trans. On Fundamentals, Vol.E94-A, No. 8, pp.1630-1637, Aug. 2011. (SCI)

  18. K. C. Wang (單一作者), ‘’Voice Activity Detector for Noise Spectrum Estimation Using a Dynamic Band-Splitting Entropy Estimate,’’ International Journal of Computers and Applications, Vol. 33, No. 3, Jul. 2011. (EI)

  19. K. C. Wang (單一作者), ‘’An Adaptive Wavelet-Based Denoising Algorithm for Enhancing Speech in Non-Stationary Noise Environment,’’ IEICE Transactions on Information and Systems, vol. E93-D, No.2, pp. 341-349, Feb. 2010. (SCI)

  20. K. C. Wang (第一作者) and C. L. Chin, ‘’A Time-Frequency Adaptation Based on Quantum Neural Networks for Speech Enhancement,’’ WSEAS Transactions on Information Science and Applications, Volume 7, Issue 1, pp. 11-15, January 2010. (EI)

  21. K. C. Wang (單一作者), ‘’Wavelet-Based Speech Enhancement Using Time-Frequency Adaptation,’’ EURASIP Journal on Advances in Signal Processing, vol. 2009, pp. 1-8, Oct. 2009. (SCI)

  22. K. C. Wang (單一作者), ‘’A Wavelet-Based Voice Activity Detection Algorithm in Variable-Level Noise Environment,’’ WSEAS Transactions on Computers, Vol. 8, Issue 6, pp. 949-955, June 2009. (EI)

  23. K. C. Wang (第一作者) and C. L. Chin, ‘’An Efficient Voice Activity Detection in Realistic Environments,’’ WSEAS Transactions on Systems, vol.6, pp. 1207-1212, Jul. 2007. (EI)

  24. B. F. Wu and K. C. Wang (通訊作者), ‘’Speech Activity Detection Based on Auto-Correlation Function Using Wavelet Transform and Teager Energy Operator,’’ International Journal of Computational Linguistics and Chinese Language Processing, vol. 11, no. 1, pp. 87-100, Mar. 2006.

  25. B. F. Wu and K. C. Wang (通訊作者), ‘’Noise Spectrum Estimation with Entropy-based VAD in Non-Stationary Environments,’’ IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, vol. E89-A, no. 2, pp. 479-485, Feb. 2006. (SCI, 5-Year Impact Factor =0.444)

  26. B. F. Wu and K. C. Wang (通訊作者), ‘’A Robust Endpoint Detection Algorithm Based on the Adaptive Band-Partitioning Spectral Entropy in Adverse Environments,’’ IEEE Transactions on Speech and Audio Processing, vol. 13, no. 5, pp. 762-775, Sep. 2005. (SCI, 5-Year Impact Factor =1.853)

  27. B. F. Wu and K. C. Wang (通訊作者), ‘’A Robust Entropy-Based Speech Detection in High Noisy Environments,’’ GESTS International Transactions on Speech Science and Engineering, vol. 2, no. 1, pp. 79-90, Feb. 2005. (Invited Paper)

Conference Paper

  1. Yu-Tung Cheng, Yu-Chen Lin, and Kun-Ching Wang*,“Guide Dog Robot in City Environment Using Real-time Instance Segmentation(S038001),”中華民國力學學會第四十六屆全國力學會議 (CTAM 2022), 高雄市, 2022年11月18–19日。

  2. Shih-Chieh Lin, Ping-Cheng Hsieh, Ying-Jen Chen and Kun-Ching Wang*, “Combined YOLOv4 object detection with robotic arm for automatic determination of recycling correctness of PET bottles(cacs0124)”, accepted to the 2022 International Automatic Control Conference (CACS 2022) at Garden Villa in Kaohsiung, Taiwan, November 3-6, 2022.

  3. 王坤卿, 胡景翔, 蔡兆韋, 蔡鈺鼎, 沈靜慧, “基於WTMFCC特徵及深度卷積神經網路的腸鳴音識別系統研究,” Proceedings of 2022 National Symposium on System Science and Engineering (NSSSE2022), National Chung Hsing University, Taichung, 26~29 May, 2022

  4. 劉柏儀,陳志成,王坤卿(通訊作者),  “基於結合離散小波轉換於一維卷積神經網路之機械故障智慧感測,”中華民國力學學會第四十五屆全國力學會議 (CTAM 2021)新北市, 2021年11月18–19日。

  5. Wei Peng Tang, Sze Teng Liong, Chih Cheng Chen, Ming Han Tsai, Ping Cheng Hsieh, and Kun Ching Wang (通訊作者), “Steel Surface Defect Detection Based on Multi-receptive Field Fusion-based Network with Light Dataset”, published in The 2021 International Automatic Control Conference (CACS 2021) in National Chung Cheng University, Chiayi, Taiwan, November 3-6, 2021.

  6. Po-Yi Liu, Chih-Cheng Chen, Sze-Teng Liong, Ming-Han Tsai, Ping-Cheng Hsieh and Kun-Ching Wang(通訊作者), “Intelligent Fault Diagnosis Based on Multi-Resolution and One-Dimension Convolutional Neural Networks”, published in the Proceedings of the International Conference on System Science and Engineering 2021 (ICSSE 2021) in Nha Trang City, August 26-28, 2021.

  7. 王坤卿、洪品權、張家豪、郭秋廷、林家立、楊穎儒, “應用於音頻內容分類的分層式系統”,中華民國系統科學與工程研討會, 國立中興大學電機大樓, 2020年 6月19 ~ 6月20日 。

  8. Kun-Ching Wang, Pin-Chuan Hung, Gu-Hao Zhang, Chiou-Ting Guo, Chia-Li Lin, “Audio Content Classification with Hierarchical System Based on Spectral Entropy Information and Hybrid Feature Set”, accepted for presentation and proceedings publication for the 2020 The 4th International Conference on Circuits, Systems and Devices (ICCSD 2020), Kitakyushu, Japan. August 7-9, 2020.

  9. Kun-Ching Wang, Pin-Chuan Hung, Gu-Hao Zhang, “ A Driving Behavior Analysis System Based on Bi-Modal Deep Convolution Neural Network Technology from Acoustical-Visual Features “, accepted for presentation for the 3rd International Conference on Recent Developments in Computer, Applied Science and Engineering Innovations (RDCAE2020), Novotel Bangkok Ploenchit Sukhumvit, Thailand, May 16-17, 2020.

  10. Kun-Ching Wang, “ The Study of Driving Behavior Analysis Combined with Acoustical-Visual Emotion Recognition and OBD-II “, accepted for presentation and proceedings publication for the 2020 International Conference on Industry, Business and Social Sciences (IBSS 2020), Kokoka Kyoto International Community House, Kyoto, Japan. March 30 – April 1, 2020. 

  11. K. C. Wang, Y. R. Yang and Y. M. Yang, “The Study on Infant Cry Recognition Using Multi-Resolution Deep CNN Architecture”, the International Conference on Technology, Engineering, Science, and Application (ICTESA 2019), Fukuoka International Congress Center, Fukuoka, Japan. April 1-3, 2019.

  12. K. C. Wang, Y. R. Yang and Y. M. Yang, “Voice Activity Detection Based on Deep Learning (paper ID: 10),” the 3rd International Conference on Biomedical Signal and Image Processing (ICBSIP 2018), Seoul, South Korea, July 22-24, 2018.

  13. K. C. Wang, Y. M. Yang and Y. R. Yang, “Speech/Music Discrimination using Hybrid-Based Feature Extraction for Audio Data Indexing,” the Proceedings of the International Conference on System Science and Engineering 2017 (ICSSE 2017), pp. 537-541, Ho Chi Minh City, Vietnam, July 21-23, 2017.

  14. K. C. Wang, “The Study of Automobile-Used Voice-Activity Detection System Based on Two-Dimensional Long-Time and Short-Frequency Spectral Entropy,” the Fourth International Conference on Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE 2016), pp. 54-61, Kuala Lumpur, Malaysia. September 6-8, 2016.

  15. K. C. Wang, “A Novel Feature Extraction Based on Multi-Resolutions Texture Image Information and Acoustic Activity Detector for Emotion Recognition in Speech,” International Conference on Engineering and Natural Science (ICENS 2015), pp. 107-130, Waseda University, Tokyo, Japan. July 22-24, 2015.

  16. K. C. Wang, “Speech Emotional Classification Using Texture Image Information Features” (SP0006) has been accepted for Oral presentation at 2014 International Conference on Communication and Signal Processing (ICCSP 2014) in Bangkok, Thailand. Oct. 10-12, 2014.

  17. K. C. Wang, C. L. Chin and C. M. Wang, “Innovative VAD Based on Horizontal Spectral Entropy with Long-Span of Time,” Proceedings of the International MultiConference of Engineers and Computer Scientists 2013, Vol II, IMECS 2013, March 13 – 15, 2013, Hong Kong.

  18. K. C. Wang, “An Adaptive Long-term Sub-band Entropy Measure for Voice Activity Detection (Paper Number: 8060),” Accepted to BAI 2012. Jul. 3- Jul. 5, 2012.

  19. K. C. Wang, Chiun-Li Chin and Yi-Hsing Tsai, “A Novel Voice Activity Detection Method Using Improved Long-Term Spectral Analysis and Wavelet Entropy (Paper ID: 206),” has been accepted for Oral Presentation at the Third International Conference on Audio, Language and Image Processing (ICALIP 2012), Shanghai, China, July 16 – July 18, 2012.

  20. C. M. Wang, K. C. Wang and C. L. Chin, “Decision-making and Recognition in Emotional Speech,” has been accepted for Oral Presentation at the 18th Cross Strait Conference on Information Management Development and Strategy (CSIM 2012), Taipei, Taiwan, Aug. 20 – Aug. 21, 2012.

  21. C. L. Chin, W. S. Jhao and K. C. Wang, “A Robust Document Image Binarization Algorithm with Artificial Intelligent Method,” accepted by the 2010 International Congress on Computer Applications and Computational Science (CACS 2010), 4-6 December 2010, Singapore.

  22. C. L. Chin and W. S. Jhao and K. C. Wang, “A Document Image Binarization Algorithm with Fuzzy Inference Method, “ accepted by 第23屆電腦視覺、圖學暨影像處理研討會, 2010年 8月15 ~ 8月17日 於高雄舉辨。

  23. K. C. Wang, C. L. Chin and Y. H. Tsai, “Voice Activity Detection based on Combination of Weighted Sub-band Features using Auto-Correlation,” Proceedings of DiSS-LPSS Joint Workshop 2010, pp. 83-88, 25-26 September 2010, Tokyo, Japan.

  24. Y. H. Tsai, C. C. Tsai and K. C. Wang, “Automatic Content-Based Classification of MP3 Music Objects Radial Basis Function Network, “ accepted by the 7th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD’10), 10-12 August 2010, Yantai, China.

  25. C. L. Chin, H. H. Tsai, Y. C. Cheng, and K. C. Wang, “Automatic Pulmonary Embolism Detection System,” The 22th IPPR Conference on Computer Vision, Graphics, and Image Processing, August 2009.

  26. K. C. Wang, T. L. Hou, C. L. Chin, “Voice Activity Detection Using Spectral Entropy in Bark-Scale Wavelet Domain,” accepted by ROCLING 2009, 1-2 September 2009, July, 2009. In Taichung, Taiwan.

  27. K. C. Wang, C. L. Chin and Y. H. Tsai, “A Wavelet De-noising System Using Time-Frequency Adaptation for Speech Enhancement Adaptation for Speech Enhancement,” International Conference on Asian Languages Processing 2009 (IALP2009), pp.114-117, Dec 7-9, 2009, Singapore.

  28. K. C. Wang, “A Novel Entropy-Based Voice Activity Detection Algorithm,” accepted by 2009年商業與資訊國際研討會-21世紀之挑戰與前瞻, May 1-2, 2009, Kaohsiung, Taiwan.

  29. C. L. Chin, K. C. Wang, and S. M. Chiou, “Curve-based Image Lightness Enhancement Algorithm,” International Workshop on Computer Vision and Its Application to Image Media Processing, January 2009, Tokyo, 日本.

  30. K. C. Wang, “An Entropy-Based VAD Technique Using Bark-Scale Wavelet Decomposition and Adaptive Frequency Sub-band Extraction,” accepted by Oriental COCOSDA 2008, Nov. 25-27 2008, Kyoto, Japan.

  31. K. C. Wang, “A Novel Speech Enhancement Based on Time-Frequency Adaptive Thresholding of the Perceptual Wavelet Packet Transform,” accepted by Oriental COCOSDA 2008, Nov. 25-27 2008, Kyoto, Japan.

  32. K. C. Wang, “A Method with Entropy-Based Measure for Detecting Voice Activity in Noisy Environments,” accepted by the 6th International Symposium on Chinese Spoken Language Processing, ISCSLP 2008, December 16-19, 2008, Kunming, China.

  33. K. C. Wang, “Voice Activity Detection Based on Discrete Wavelet Transform,” accepted by ROCLING-2008, Sep. 4~5, 2008, Taipei, Taiwan.

  34. K. C. Wang and Y. H. Tsai, “Voice Activity Detection Algorithm with Low Signal-to-Noise Ratios Based on Spectrum Entropy,” Second International Symposium on Universal Communication, ISUC 2008, pp. 423~428, Dec. 15-16, 2008, Osaka, Japan.

  35. B. F. Wu and K. C. Wang, “An Adaptive Band-Partitioning Spectral Entropy Based Speech Detection in Realistic Noisy Environments,” INTERSPEECH 2004 ICSLP, vol. 2, pp. 957~960, Oct. 4~8, 2004, Jeju Island, Korea.

  36. B. F. Wu, K. C. Wang and L. Y. Kuo, “A Noise Estimator with Rapid Adaptation in Variable-Level Noisy Environments,” ROCLING XVI, pp. 33~38, Sep. 2~3, 2004, Taipei, Taiwan.

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