Prof. Wen-Tsai Sung

Professor
National Chin-Yi University of Technology, Taiwam

Highest Degree
Ph.D. in Electrical Engineering from National Central University, Taiwan

My URL
https://livedna.org/886.10144

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Biography

Prof. Wen-Tsai Sung is working with the Department of Electrical Engineering, National Chin-Yi University of Technology as a Professor and Vice-Dean of Academic Affairs. He received a PhD and MS degree from the Department of Electrical Engineering, National Central University, Taiwan in 2007 and 2000 respectively. He has won the 2009 JMBE Best Annual Excellent Paper Award and the dragon thesis award that sponsor is Acer Foundation. His research interests include Wireless Sensors Network, Data Fusion, System Biology, System on Chip, Computer-Aided Design for Learning, Bioinformatics, and Biomedical Engineering. He has published 57 research articles in international journal and 70 articles in conferences contributed as author/co-author. Currently, he is the chief of Wireless Sensors Networks Laboratory. At present, he serves as the Editor-in-Chief in three international journals, International Journal of Communications (IJC), Communications in Information Science and Management Engineering (CISME) and Journal of Vibration Analysis, Measurement and Control (JVAMC), he also serves as the other international journals in Associate-Editor and Guest Editor (IET Systems Biology).

Area of Interest:

Computer Sciences
Wireless Sensor Network
Bioinformatics
Biomedical Engineering
Data Fusion

Selected Publications

  1. Sung, W.T., J.H. Chen and K.Y. Chang, 2014. Trust function for multi-physiological signals fusion. Measurement, 47: 827-840.
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  2. Sung, W.T., J.H. Chen and K.W. Chang, 2014. Mobile physiological measurement platform with cloud and analysis functions implemented via IPSO. IEEE Sens. J., 14: 111-123.
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  3. Sung, W.T., J.H. Chen and C.L. Hsiao, 2014. Data fusion for PT100 temperature sensing system heating control model. Measurement, 52: 94-101.
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  4. Sung, W.T., H.Y. Chung and K.Y. Chang, 2014. Agricultural monitoring system based on ant colony algorithm with centre data aggregation. IET Commun., 8: 1132-1140.
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  5. Sung, W.T. and S.J. Hsiao, 2014. Implementation of enhanced fractionally spaced algorithm for blind equalization technology in WSNs. Ad Hoc Networks, 14: 26-34.
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  6. Sung, W.T. and K.Y. Chang, 2014. Health parameter monitoring via a novel wireless system. Applied Soft Comput., 22: 667-680.
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  7. Sung, W.T. and H.Y. Chung, 2014. A distributed energy monitoring network system based on data fusion via improved PSO. Measurement, 55: 362-374.
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  8. Lian, K.Y., S.J. Hsiao and W.T. Sung, 2014. Smart home safety handwriting pattern recognition with innovative technology. Comput. Electr. Eng., 40: 1123-1142.
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  9. Chen, J.H., W.T. Sung and H.C. Wang, 2014. Employing RFID for an equipment management system via wireless sensor network. Math. Probl. Eng. 10.1155/2014/245839.
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  10. Sung, W.T., J.H. Chen and K.Y. Chang, 2013. ZigBee based multi-purpose electronic score design and implementation using EOG. Sens. Actuators A: Phys., 190: 141-152.
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  11. Sung, W.T., J.H. Chen and K.W. Chang, 2013. Study on a real-time BEAM system for diagnosis assistance based on a system on chips design. Sensors, 13: 6552-6577.
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  12. Sung, W.T., J.H. Chen and H.C. Wang, 2013. Optimization data fusion approaches for intelligent house system. Applied Math. Inform. Sci., 7: 441-447.
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  13. Sung, W.T., 2013. Wireless sensing network transmission system with improved constant modulus algorithm. EURASIP J. Wireless Commun. Networking. 10.1186/1687-1499-2013-101.
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  14. Sung, W.T. and Y.F. Liu, 2013. Neural network approaches to data fusion calculation and correction in wireless sensor network-a case study comparison between BPN, RBFN and GRNN. Int. J. Nonlinear Sci. Numer. Simul., 14: 395-411.
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  15. Sung, W.T. and K.Y. Chang, 2013. Evidence-based multi-sensor information fusion for remote health care systems. Sens. Actuators A: Phys., 204: 1-19.
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  16. Sung, W.T. and J.S. Lin, 2013. Design and implementation of a smart LED lighting system using a self adaptive weighted data fusion algorithm. Sensors, 13: 16915-16939.
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  17. Sung, W.T. and C.L. Hsiao, 2013. IHPG algorithm for efficient information fusion in multi-sensor network via smoothing parameter optimization. INFORMATICA, 24: 291-313.
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  18. Sung, W.T. and C.C. Hsu, 2013. Intelligent environment monitoring system based on innovative integration technology via programmable system on chip platform and ZigBee network. IET Commun., 7: 1789-1801.
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  19. Sung, W.T. and C.C. Hsu, 2013. IOT system environmental monitoring using IPSO weight factor estimation. Sensor Rev., 33: 246-256.
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  20. Lian, K.Y., S.J. Hsiao and W.T. Sung, 2013. Mobile monitoring and embedded control system for factory environment. Sensors, 13: 17379-17413.
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  21. Lian, K.Y., S.J. Hsiao and W.T. Sung, 2013. Intelligent multi-sensor control system based on innovative technology integration via ZigBee and Wi-Fi networks. J. Network Comput. Applic., 36: 756-767.
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  22. Sung, W.T., S.C. Ou, Y.F. Liu and C.H. Chen, 2012. Employed veriLite simulation to improve SOC design and verification. Comput. Applic. Eng. Educ., 20: 374-382.
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  23. Sung, W.T. and Y.C. Chiang, 2012. Improved particle swarm optimization algorithm for android medical care IOT using modified parameters. J. Med. Syst., 36: 3755-3763.
    CrossRef  |  PubMed  |  Direct Link  |  

  24. Sung, W.T. and M.H. Tsai, 2012. Data fusion of multi-sensor for IOT precise measurement based on improved PSO algorithms. Comput. Math. Applic., 64: 1450-1461.
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  25. Sung, W.T. and J.H. Chen, 2012. Enhancing molecular docking efficiency for computer-aided drug design via systems theorem. Int. J. Comput. Consum. Control, 1: 54-61.
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  26. Sung, W.T. and H.Y. Chung, 2012. Employing reduced order approach for computing protein folding via Langevin equation and Lyapunov theorem. Int. J. Innov. Comput. Inform. Control, 8: 4319-4332.
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  27. Sung, W.T. and G.Y. Chen, 2012. Employ DaVinci DM6446 platform for H.264 video processing analysis and case discussion. Int. J. Innov. Comput. Inform. Control, 8: 1849-1866.
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  28. Su, J., C.C. Tsai and W.T. Sung, 2012. Area temperature system monitoring and computing based on adaptive fuzzy logic in wireless sensor networks. Applied Soft Comput., 12: 1532-1541.
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  29. Wang, M.H., Y.K. Chung and W.T. Sung, 2011. Using thermal image matter-element to design a circuit board fault diagnosis system. Expert Syst. Applic., 38: 6164-6169.
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  30. Sung, W.T., K.Y. Chen and Y.C. Hsu, 2011. Design a breeze sensor system based on electric field via two-elemental direction. Expert Syst. Applic., 38: 5584-5590.
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  31. Sung, W.T., H.Y. Chung, Y.C. Hsu and K.Y. Chen, 2011. A light wind speed measurement system design to strengthen wireless sensor network functions. Int. J. Innov. Comput. Inform. Control, 7: 859-868.
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  32. Sung, W.T., 2011. Protein folding for finding active sites by the VMD tool and force field simulation. Comput. Applic. Eng. Educ., 19: 717-723.
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  33. Sung, W.T. and Y.C. Hsu, 2011. Designing an industrial real-time measurement and monitoring system based on embedded system and ZigBee. Expert Syst. Applic., 38: 4522-4529.
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  34. Sung, W.T. and M.H. Tsai, 2011. Multi-sensor wireless signal aggregation for environmental monitoring system via multi-bit data fusion. Applied Math. Inform. Sci., 5: 589-603.
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  35. Su, I.J., C.C. Tsai and W.T. Sung, 2011. Comparison of BP and GRNN algorithm for factory monitoring. Applied Mech. Mater., 52-54: 2105-2110.
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  36. Wang, M.H., K.H. Chao, W.T. Sung and G.J. Huang, 2010. Using ENN-1 for fault recognition of automotive engine. Expert Syst. Applic., 37: 2943-2947.
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  37. Sung, W.T., J.H. Chen, M.H. Wang and Y.C. Hsu, 2010. Remote medical care system design based on RFID and Zigbee technology via wireless sensors network. Int. J. Innov. Comput. Inform. Control, 6: 5203-5220.
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  38. Sung, W.T., 2010. Multi-sensors data fusion system for wireless sensors networks of factory monitoring via BPN technology. Expert Syst. Applic., 37: 2124-2131.
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  39. Sung, W.T. and Y.F. Liu, 2010. Energy minimum theorem based on AGA, Lyapunov and force field for CADD techniques. Comput. Biol. Med., 40: 215-222.
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  40. Sung, W.T. and H.Y. Chung, 2010. Innovation of visualized interactive tools for learning molecular simulation curriculum. Comput. Applic. Eng. Educ., 18: 28-40.
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  41. Sung, W.T. and D.C. Wang, 2010. An innovative MPCM network data transmission efficiency enhancement. Int. J. Innov. Comput. Inform. Control, 6: 2075-2088.
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  42. Sung, W.T. and C.H. Chen, 2010. Parallel data fusion for an industrial automatic monitoring system using radial basis function networks. Int. J. Innov. Comput. Inform. Control, 6: 2523-2536.
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  43. Sung, W.T., 2009. Intuitive GA and Lyapunov to promote molecular docking efficiency for drug design. J. Med. Biol. Eng., 1: 39-45.
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  44. Sung, W.T., 2009. Determine global energy minimum solution via Lyapunov stability theorem. Int. J. Innov. Comput. Inform. Control, 5: 2011-2030.
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  45. Ou, S.C., H.Y. Chung, W.T. Sung and C.Y. Chung, 2006. Using directivity genetic algorithms to geometry search and conformational stability for improving molecular simulation techniques. WSEAS Trans. Biol. Biomed., 3: 291-296.
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  46. Ou, S.C., H.Y. Chung and W.T. Sung, 2006. Improving the compression and encryption of images using FPGA-based cryptosystems. Multimedia Tools Applic., 28: 5-22.
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  47. Ou, S.C., H.Y. Chung and W.T. Sung, 2006. Development of a computer aided geometric design system based on parallel architecture. WSEAS Trans. Comput., 5: 278-284.
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  48. Ou, S.C., C.Y. Chung, H.Y. Chung, W.T. Sung and C.C. Cheng, 2005. Molecular docking for protein folding structure and drug-likeness prediction. WSEAS Int. J. Biol. Biomed., 2: 57-63.
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  49. Ou, S.C., C.Y. Chung, W.T. Sung, C.C. Tsai, C.C. Chien and D.Y. Su, 2004. Virtual screening and computer-aided drug design in molecular docking via Lyapunov function. WSEAS Trans. Biol. Biomed., 1: 384-390.

  50. Hsiao, S.J., W.T. Sung and S.C. Ou, 2004. Web-based search system of pattern recognition for the pattern of industrial component by an innovative technology. Comput. Ind., 53: 179-192.
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  51. Sung, W.T. and S.C. Ou, 2003. Using virtual reality technologies for manufacturing applications. Int. J. Comput. Applic. Technol., 17: 213-219.
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  52. Sung, W.T. and S.C. Ou, 2002. Web-based learning in the computer-aided design curriculum. J. Comput. Assisted Learn., 18: 175-187.
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  53. Sung, W.T. and S.C. Ou, 2002. Learning computer graphics using virtual reality technologies based on constructivism-case study of the WebDeGrator system. Interact. Learn. Environ., 10: 177-197.
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  54. Ou, S.C., W.T. Sung, S.J. Hsiao and K.C. Fan, 2002. Interactive web-based training tool for CAD in a virtual environment. Comput. Applic. Eng. Educ., 10: 182-193.
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  55. Ou, S.C., W.T. Sung and S.J. Hsiao, 2002. Study on the wireless and virtual reality technology-based on WebDeGrator system. J. Internet Technol., 3: 257-266.

  56. Hsiao, S.J., K.C. Fan, W.T. Sung and S.C. Ou, 2002. Innovative algorithms for running a web-based pattern recognition search system for a component patterns database. Malaysian J. Comput. Sci., 15: 78-93.
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  57. Sung, W.T. and S.C. Ou, 2001. Integrating network, CAD and VR into the design and development of web-based computer graphics learning materials. J. Comput. Sci., 14: 47-63.
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Member since March, 2016