Intelligent Systems Lab @ CUK

THE CATHOLIC UNIVERSITY OF KOREA

논문

[Books and Parts of Books]

  1. G. May, Tae Seon Kim, G. Triplett, and I. Yun, “Artificial Intelligence in Semiconductor Manufacturing,” Wiley Encyclopedia of Electrical and Electronics Engineering, John Wiley & Sons, Inc. 2007. (DOI: 10.1002/047134608X.W7027.pub2)

 

[International Journal Papers (SCI/SCIE/Scopus)]

  1. Yang, G. Gang and Tae Seon Kim, “Development of EOG-Based Human Computer Interface (HCI) System Using Piecewise Linear Approximation (PLA) and Support Vector Regression (SVR),” Electronics, Vol. 7, No.3, March 2018.
  2. Gang, C. Min, and Tae Seon Kim, “Development of Eye-Tracking System Using Dual Machine Learning Structure,” Trans. KIEE, Vol.66, No.7, July 2017.
  3. Kim, S. Lee, C. Min and Tae Seon Kim, “Optimization of Transmittance Characteristic of Indium Tin Oxide Film Using Neural Networks,” Metals and Materials International, Vol.16, No.5, October 2010.
  4. Tae Seon Kim, H. Lee, J. Park, C. Lee, Y. Lee, C. Choi, S. Hwang, H. Kim, and C. Min,
    “Ubiquitous Evolvable Hardware System for Heart Disease Diagnosis Applications,” International Journal of  Electronics, Vol. 95, No. 7, July 2008.
  5. Chul Hong Min and Tae Seon Kim, “Neural Network based Tension Force Prediction Model for High Density MEMS Type Probe Card Design,”  Journa l of Dynamics of Continuous, Discrete and Impulsive Systems Series B, Vol. 14, No. s2, June 2007.
  6. Hyundong Kim and Tae Seon Kim, “Embedded signal processing system for heart disease type classification using neural networks and  genetic  algorithms,” Journal of Dynamics of Continuous, Discrete and Impulsive Systems Series B, Vol.  14, No. s2, June 2007.
  7. S. Kim and Tae Seon Kim, “Simulator for the design considered critical dimension bias in resist reflow process,” Journal of the  Korean Physical Society (JKPS), Vol. 48, No. 6, June 2006.
  8. C. Min and Tae Seon Kim, “Modeling of micro spring tension force for vertical type probe card fabrication,” Lecture Notes in  Computer Science , Vol. 3973, Springer LNCS, 2006.
  9. H. Kim, C. Min and Tae Seon Kim, “Adaptable noise reduction of ECG signals for feature extraction,” Lecture Notes in Computer Science,  Vol. 3973,  Springer LNCS, 2006.
  10. J. Wee, Tae Seon Kim, S. Dong and C. Lee, “Nonlinear channel equalization using concurrent support vector machine processor,” Lecture Notes in Computer Science, Vol. 3973, Springer LNCS, 2006.
  11. H. Kim and Tae Seon Kim, “Context-aware computing based adaptable heart diseases diagnosis algorithm,” Lecture Notes in  Computer Science, Vol. 3682, Springer LNCS, 2005.
  12. Tae Seon Kim, “Chip speed prediction model for optimization of semiconductor manufacturing process using neural  networks and statistical methods,” Lecture Notes in Artificial Intelligence, Vol. 3498, Springer LNCS, 2005.
  13. Tae Seon Kim and C. Min “ECG based patient recognition model for smart healthcare systems,” Lecture Notes in Computer  Science, Vol. 3398, Springer LNCS, 2005.
  14. B. Kim, S. Han, Tae Seon Kim, B. Kim, and I. Shim, “Modeling refraction characteristics of silicon nitride film deposited in a SiH4-NH3-N2 plasma using neural  network,” IEEE Trans. on Plasma Science, Vol. 31, No. 3, June 2003.
  15. Tae Seon Kim and Gary S. May, “Time series modeling of photosensitive polymer development rate for via formation applications,” IEEE  Trans. Electronics Packaging Manufacturing, Vol. 25, No. 3, July 2002.
  16. Tae Seon Kim and Gary S. May, “Intelligent control of via formation by photosensitive BCB for MCM-L/D applications,” IEEE Trans. on   Semiconductor Manufacturing, Vol. 12, No. 4, November 1999.
  17. Tae Seon Kim and Gary S. May, “Sequential modeling via formation in photosensitive dielectric materials for MCM-D applications,” IEEE  Trans. on Semiconductor Manufacturing, Vol. 12, No. 3, August 1999.
  18. Tae Seon Kim and Gary S. May, “Optimization of via formation in photosensitive dielectric layers using neural networks and genetic algorithms,” IEEE Trans. Electronics Packaging Manufacturing, Vol. 22, No. 2, April 1999.

 

[Domestic Journal Papers]

  1. Min and Tae Seon Kim, “Design and fabrication of micro patterns on flexible copper clad laminate (FCCL) using imprinting process,” J. Korean Inst. Surf. Eng., Vol.51, No.5, October 2018.
  2. Min and Tae Seon Kim, “Design and fabrication of micro patterns on flexible copper clad laminate (FCCL) using imprinting process,” KIEEME Journal, Vol.28, No.12, December 2015.
  3. Min and Tae Seon Kim, “Design and fabrication of scaffold type energy harvester using multiplying gear module,” KIEEME Journal, Vol.27, No.12, December 2014.
  4. Gang and Tae Seon Kim, “Development of human-machine interface based on EMG and EOG,” Journal of IEEK, Vol. 50, No. 12, December 2013.
  5. Min and Tae Seon Kim, “Design and fabrication of printed circuit board (PCB) integrated energy harvester,” KIEEME Journal, Vol.26, No.11, November 2013.
  6. Min, G. Gang, and Tae Seon Kim, “Development of exercise analysis system using bioelectric abdominal signal,” Journal of IEEK, Vol. 49, No. 11, November 2012.
  7. Gang, C. Min, and Tae Seon Kim, “Modeling of silicon etch in KOH for MEMS based energy harvester fabrication,” KIEEME Journal, Vol.25, No.3, March 2012.
  8. Min, G. Gang, and Tae Seon Kim, “Development of single channel ECG signal based biometrics system,” Journal of IEEK, Vol. 49, No. 1, January 2012.
  9. Min and Tae Seon Kim, “Design of biometrics system using ECG lead III signals,” Journal of IEEK, Vol. 48, No. 6, November 2011.
  10. Lee and Tae Seon Kim, “Modeling of PECVD oxide film properties using neural networks,” KIEEME Journal, Vol.23, No.11, November 2010.
  11. C. Min and Tae Seon Kim, “Development of Signal detection methods for ECG (Electrocardiogram) based u-Healthcare Systems,”  Journal of IEEK, Vol. 46, No. 6, November 2009.
  12. C. Min and Tae Seon Kim, “Design of micro-structured small scale energy harvesting system for pervasive computing applications,” KIEEME Journal, Vol.22, No.11, November 2009.
  13. C. Min, S. Park, N. Yoon, and Tae Seon Kim, “Modeling of Indium Tin Oxide(ITO) Film Deposition Process using Neural Network,” KIEEME Journal, Vol.22, No.9, September 2009.
  14. E. Lee, C. Min, and Tae Seon Kim, “Development of the KOSPI (Korea Composite Stock Price Index) forecast model using neural network and   statistical methods,” Journal of IEEK, Vol. 45, No. 5, September 2008.
  15. C. Min and Tae Seon Kim, “Development of 121 pins/㎟ High Density Probe Card using Micro-spring Architecture,” KIEEME Journal, Vol.19, No.9, September 2007.
  16. C. Min, S. Park, N. Yoon, and Tae Seon Kim, “Characterization of Cesium Assisted Sputtering Process Using Design of Experiment,” Journal of KISE, Vol. 40, No.4, August 2007.
  17. Tae Seon Kim, W. Kim, D. Kim, and B. Kim, “Statistical Analysis of Characteristics of Scanning Electron Microscope,” Journal of KISE, Vol. 40, No.4, August 2007.
  18. C. Min and Tae Seon Kim, “Development and characterization of vertical type probe card for high density probing test,” KIEEME Journal, Vol.19, No.9, September 2006.
  19. T. Kim, Tae Seon Kim, S. Dong, and C. Lee, “Sensory motor coordination system for robotic grasping,” Trans. Korean institute of Electrical Engineers, Vol. 53D, No. 2, February 2004.
  20. Tae Seon Kim and Chong Ho Lee, “Neural Network Method for Efficient Channel Assignment of Cellular Mobile Radio Network,” Journal of the Korean institute of Telematics and Electronics, Vol. 3B, No. 10, October 1993.

 

[International Refereed Conference Proceedings]

  1. Tae Seon Kim and Chul Hong Min, “Deposition of Indium Tin Oxide (ITO) Film Using Cesium Assisted Sputtering,” Proc. Int’l Conf. Elec. Mat. (IUMRS-ICEM), Korea, August 2010
  2. H. Lee, H. Park, Y. Lee, C. Choi, J. Choi, C. Lee, D. Chung, Tae Seon Kim, and H. Kim,
    “Reconfigurable evolvable hardware for adaptable heart disease diagnosis system,” Proc.  Int’l SoC Design Conference, Seoul, Korea, October 2006.
  3. T. Kim, Tae Seon Kim, S. Dong, and C. Lee, “Implementation of sensory motor coordination for robotic grasping,” Proc.  IEEE Int’l Symp. Comp. Intell. In Robotics & Automation, Kobe, Japan, July 2003.
  4. H. Cho, Tae Seon Kim, S. Jeon, J. Wee, and C. Lee, “cDNA microarray data based classification of cancers using neural networks and genetic algorithms,” Proc. Nanotechnology2003, San Francisco, February 2003.
  5. Tae Seon Kim, “Intelligent yield and speed prediction models for high-speed microprocessors,” Proc. IEEE Electronic Components & Technology Conf., San Diego, May 2002.
  6. J. Koo, Tae Seon Kim, S. Dong, C. Lee, “Development of FPGA based adaptive image enhancement filter system using genetic algorithms,” Proc. IEEE World Conf. Computational Intelligence, Honolulu, May 2002.
  7. T. Kwon, S. Lee, Tae Seon Kim, H. Lee, Y. Park, T. Kim, S. Kim, and J. Kong, “Performance improvement for high speed devices using E-tests and the SPICE model,” Proc. IEEE Int’l Symp. Quality Electronic Design, San Jose, March 2001.
  8. Tae Seon Kim, S. Ahn, Y. Jang, J. Lee, K. Lee, B. Kim, and C. Cho, “Yield prediction models for optimization of high-speed microprocessors manufacturing processes,” Proc. Int’l Elec. Manufac. Tech. Symp. (IEMTS), Santa Clara, CA, October 2000.
  9. Tae Seon Kim, S. Ahn, Y. Jang, J. Lee, K. Lee, B. Kim, and C. Cho, “Intelligent yield prediction models for high-speed microprocessors,” Proc. Int’l Symp. on Semiconductor Manufacturing (ISSM), Tokyo JAPAN, September 2000.
  10. Tae Seon Kim and Gary S. May, “Time series modeling of photosensitive BCB development rate for via formation applications,” Proc. Int’l Elec. Manufac. Tech. Symp. (IEMTS), Austin, TX, October 1999.
  11. Tae Seon Kim and Gary S. May, “Supervisory control of the via formation process in HDI layers for MCM-D applications using neural networks,” Proc. of Int’l Intersociety Elect. Packaging Conf. (InterPACK), Maui, HI, June 1999.
  12. Tae Seon Kim and Gary S. May, “Intelligent control of via formation in MCM-L/D substrates using neural networks,” Proc. IEEE Int’l Symp. On Advanced Packaging Materials Processing, Properties and interfaces, Chateau Elan, GA, March 1999.
  13. Tae Seon Kim and Gary S. May, “Modeling via formation in photosensitive MCM dielectric materials using sequential neural networks,” Proc. Int’l Elec. Manufac. Tech. Symp.(IEMTS), Austin, TX, October 1998.
  14. Tae Seon Kim and Gary S. May, “Optimization of via formation in photosensitive dielectric layers using neural networks and genetic algorithms,” Proc. of World Multiconf. on Systems, Cybernetics and Informatics (invited paper), Orlando,   FL, July 1998.
  15. Tae Seon Kim and Gary S. May, “Sequential modeling of via geometry in photosensitive MCM dielectric materials using neural networks,” Proc. 1998 Int’l Symp. Adv. Pack. Mat’ls, Braselton, GA, March 1998.
  16. Tae Seon Kim and Gary S. May, “Modeling of via formation by photosensitive dielectric materials for MCM applications,” Proc. 5th Int’l Conf. on Prop. & App. Of Dielec. Mat’ls., Seoul, Korea, May 1997.
  17. Tae Seon Kim and Gary S. May, “Real-time feedback control of reactive ion etching using neural networks,” Proc. 1996 International Conference on Neural Networks (ICNN), Washington, DC, June 1996.
  18. Tae Seon Kim and Gary S. May, “Via formation by photosensitive polymers in MCM-D applications,” 2nd International Symposium on Advanced Packaging Materials, Atlanta, GA, March 1996.
  19. Tae Seon Kim and Gary S. May, “Real-time feedback control of reactive ion etching using neural networks,” Proc. 1995 SEMATECH Advanced Equipment Control/Advanced Process Control Workshop, New Orleans, LA, November 1995.
  20. Tae Seon Kim and Gary S. May, “Real-time predictive control of semiconductor manufacturing processes using neural networks,” Proc. 1995 American Control Conference (ACC), Seattle, WA, June 1995.
  21. Tae Seon Kim and Gary S. May, “Real-time control of electronics packaging materials using neural networks,” 1st International Symposium on Advanced Packaging Materials, Atlanta, GA, February 1995.
  22. Tae Seon Kim and Chong Ho Lee, “Neural network method for efficient channel assignment of cellular mobile network,” Proc. 1993 World   Congress on Neural Networks (WCNN), Portland, OR, July 1993.

 

● Domestic

  • “심전도 측정 시스템의 하드웨어 구현,” 대한전자공학회 하계종합학술대회, 2006년 6월
  • “Fuzzy 이론으로 구현한 체질구분과 그에 따른 음식궁합,” 대한전자공학회 하계종합학술대회, 2006년 6월
  • “신경회로망을 이용한 심전도(ECG) 기반의 생체인식,” 대한전자공학회 하계종합학술대회, 2006년 6월
  • “적응적 재구성 필터에 의한 심전도 신호의 잡음 제거 성능 평가,” 대한전자공학회 하계종합학술대회, 2006년 6월
  • 동적인 환경에서의 심전도 특징 추출을 위한 잡음 제거 기술(Adaptable Noise Reduction of ECG Signals in Dynamic Environment For ECG Feature Extraction)” , 대한 전자공학회 추계정보학술대회 , 2005년 11월
  • 마이크로 스프링을 이용한 수직형 프로브 카드 제작(Design of Micro-Spring for Vertical Type Probe Card)” , 대한 전자공학회 추계정보학술대회 , 2005년 11월
  • “부정맥 분류를 위한 ECG 신호의 파형검출 알고리즘(Detection of ECG Signal Waveform for Arrhythmia Classification)” , 대한 전자공학회 추계정보학술대회 , 2005년 11월
  • “심전도 신호를 이용한 심장 질환 진단에 관한 연구(A Study of ECG Based Cardiac Diseases Diagnoses)”, 정보 및 제어 학술대회(CICS) , 2004년 11월
  • “심장질환진단을 위한 ECG파형의 특징추출(Feature Extraction of ECG Signal for Heart Diseases Diagnoses),정보 및 제어 학술대회(CICS) , 2004년 11월
  • “RBF 신경망을 이용한 ECG파형기반의 생체인식(ECG based user identification method using neural network),대한 전기학회 하계학술대회, 2004년 7월
  • “비교사 신경망을 통한 심전도 진단의 효율적 학습을 위한 GCS 알고리즘,” 대한전기학회 하계학술대회, 2004년 7월
  • “GA와 중회귀분석을 이용한 부정맥 진단의 최적 웨이블릿 계수의 선택,” 대한전기학회 하계학술대회, 2004년 7월
  • “효율적인 DNA서열 생성을 위한 진화연산 프로세서 구현,” 대한전기학회 정보 및 제어학술회의, 2003년 11월
  •  “신경회로망과 유전알고리즘을 이용한 유전자 추출법과 이의 암 분류법에의 적용 (Gene selection method using neural networks and genetic algorithm and its applications to classification of cancers)” 대한전기학회 하계학술대회, 2002년 7월
  • “퍼지규칙과 신경회로망을 이용한 핸드오버 알고리듬에 관한 연구 (A study on hand-over algorithm using fuzzy rules and neural networks),” 대한전기학회 하계학술대회 논문집 (A) 1993년 7월
  • “셀룰러 이동통신망의 효율적인 채널할당을 위한 신경회로망의 적용 (Neural network method for optimal channel assignment of cellular mobile network),” Proc. 1992 JCEANF, 1992년 10월
  • “신경회로망을 이용한 셀룰라 이동통신망의 효율적 채널할당에 관한 연구 (Optimal channel assignment method for cellular
    mobile radio network using neural networks),” 대한전기학회 컴퓨터 및 인공지능 연구회 학술발표회, 1992년 5월