Working Papers
1. Juyong Gwak, Jaeuk Choi, Seunghwan Park* and Jaebeom Lee*. "Beyond 2D Harnessing Chirality with CNNs for Next-Generation Fingerprint Authentication"
2. Liu Peng, Seung Hwan Park*. "Tool Wear Modeling Review and Application in CNC Machining Process" (Under review)
3. 윤정원, 허효범, 김병재, 유상석, 박승환*. "이종 실험 환경 데이터 기반 볼텍스 튜브 온도 분리 성능 예측 모델"
4. Hyo Beom Heo, Seung Hwan Park*, "Leveraging Transfer Learning from Explainable Surrogate Model to Mitigate Extrapolation Challenges between Similar Tasks"
5. Hyo Beom Heo, Jae Uk Choi, Junho Lee, Yeon Geol Kim, Sang Ji Lee, Jun Hyeop Kim, Seung Hwan Park*, "Uncovering Mechanical Behavior: A review of eXplainable Artificial Intelligence (XAI) in Mechanical Systems"
6. Hyo Beom Heo, Wooseok Jeong, Yunseon Byun, Sangjo Kim, Hong-Jip Kim, Seung Hwan Park*, "Enhancing PHM for Aircraft Turbofan Engines: Fuel System Modeling with AMESim and Data-Driven Diagnostic Labeling"
7. Junho Lee, Hyunsoo yoon, Seung Hwan Park*, "Identification of Discriminative Signal Components for Robust Fault Detection under Dynamic Operating conditions of a Centrifugal Pump" (Under review)
International Papers (SCIE)
18. Hyo Beom Heo, Seung Hwan Park*, "Artificial Neural Network-based Conveying Object Measurement Automation System Using Distance Sensor", Sensors 26(2) (2026)
17. KyungKeun Kim, Yungoo Huh, Jingwang Kim, Seung Hwan Park*. "A machine learning–based high volume sensor classification approach using clustering, statistical analysis, and screening on thermal vacuum test data in a medium-sized satellite", Applied Thermal Engineering 275 (2025): 126825
16. Kyuchang Chang, Seung Hwan Park*. "Reinforcement learning-based real-time contrasts control chart using an adaptive window size", IEEE Access 13 (2025)
15. Hyo Beom Heo, Jun Ho Lee, Jeong Won Yoon, Sangseok Yu, Byoung Jae Kim, Seokyeon Im, Seung Hwan Park*, "Explainable surrogate modeling for predicting temperature separation performance of the vortex tube", Case Studies in Thermal Engineering 66 (2025): 105728
14. Hyo Beom Heo, Eun-Jin Oh, Seung Hwan Park*. "Signal separation and continuous missing value imputation of strain gauge in the icebreaker sensor system", Applied Ocean Research 153 (2024): 104290
13. Ngoc Van Trinh, Younghyeon Kim, Seokyeon Im, Byoung Jae Kim, Seung Hwan Park, Sangseok Yu*, "Parametric investigation of CO2 separation performance from air-CO2 mixture at the cold outlet of the vortex tube", International Journal of Heat and Mass Transfer 233 (2024): 126040
12. Jae Uk Choi and Seung Hwan Park*. "Quality monitoring solution: measurement and modeling of product external diameter in CNC turning." International Journal of Advanced Manufacturing Technology (2024): 1-9.
11. Kyuchang Chang and Seung Hwan Park*. "Random forest-based multi-faults classification modeling and analysis for intelligent centrifugal pump system." Journal of Mechanical Science and Technology (2023): 1-10.
10. Kyuchang Chang, Seung Hwan Park, and Jun-Geol Baek*. "AGV dispatching algorithm based on deep Q-network in CNC machines environment." International Journal of Computer Integrated Manufacturing 35.6 (2022): 662-677.
9. Lee, In-seok, Seung Hwan Park, and Jun-Geol Baek*. "Random-forest-based real-time contrasts control chart using adaptive breakpoints with symbolic aggregate approximation." Expert Systems with Applications (2020.11): 113407.
8. Hong, Jae Yeol, Seung Hwan Park, and Jun-Geol Baek*. "SSDTW: Shape segment dynamic time warping." Expert Systems with Applications 150 (2020.07): 113291.
7. Y. Yoo, S.H. Park*, J.-G. Baek*, "A Clustering-Based Equipment Condition Model of Chemical Vapor Deposition Process", International Journal of Precision Engineering and Manufacturing, Vol. 20(10), 1677–1689, 2019.10.
6. S.H. Park, C.-S. Park, J.-G. Baek*, "Prediction Model Based Multi-Profile Monitoring for Manufacturing Process Management", International Journal of Industrial Engineering: Theory, Applications and Practice, Vol. 26(3), 394-406, 2019.5.
5. D. Kim, S. H. Park, J.-G. Baek*, “A Kernel Fisher Discriminant Analysis-based Tree Ensemble Classifier: KFDA Forest”, International Journal of Industrial Engineering: Theory, Applications and Practice, Vol. 25(5), 2018.10.
4. E.H. Yuk, S. H. Park, C.-S. Park, J.-G. Baek* , “Feature-Learning-Based Printed Circuit Board Inspection via Speeded-Up Robust Features and Random Forest”, Applied Sciences(Intelligent Imaging and Analysis) , Vol. 8(6), 932-945, 2018. 6.
3. S.H. Park, S. Kim, J.-G. Baek *, “Kernel-Density-Based Particle Defect Management for Semiconductor Manufacturing Facilities”, Applied Sciences(Smart Sustainable Manufacturing Systems) , Vol. 8(2), 224-234, 2018. 2.
2. S. Jang, S.H. Park, Jun-Geol Baek*, “Real-time contrasts control chart using random forests with weighted voting”, Expert Systems with Applications, Vol. 71, pp 358–369, 2017. 4.
1. S.H. Park, C.-S. Park, J.-S. Kim, J.-G. Baek*, “Principal curve-based monitoring chart for anomaly detection of non-linear process signals”, International Journal of Advanced Manufacturing Technology, vol. 9-12, pp 3523-3531, 2016.11.
Domestic Papers (KCI | SCOPUS)
13. 최재욱, 유붕,박승환*, "CNC 정밀 가공 공정의 품질 최적화를 위한 강건 설계", 신뢰성응용연구, Vol. 24, No. 4, pp 346-353, 2024.12
12. 이준호, 허효범, 오은진, 박승환*, "원심펌프 고장진단을 위한 OCSVM 기반 특징에 관한 실험적 연구", 신뢰성응용연구, Vol. 23, No. 4, pp 335-344, 2023.12
11. 최현식, 허효범, 박승환*, "원심펌프 다중고장유형 분류 및 해석을 위한 딥러닝 모델링", Transactions of the KSME A, Vol. 47, No. 3, pp 263-272, 2023.03 (Scopus)
10. 최재욱, 허효범, 박승환*, "오토인코더를 활용한 선반 공구의 크레이터 마모 영상 특징 추출", Transactions of the KSME A, Vol. 47, No. 3, pp 273-281, 2023.03 (Scopus)
9. 박승환, 허효범, 강지훈*, "거리센서 기반의 컨베이어 객체 형상 추론 시스템", 한국정보기술학회논문지, Vol. 19, No. 4, pp 45-53, 2021. 04.
8. K. W. Kim. J. Kang, and S. H. Park*, “A Machine Learning-Based Signal Analytics Framework for Diagnosing the Anomalies of Centrifugal Pumps”, Journal of the Korean Society for Precision Engineering, Vol. 38(4), pp. 269-277, 2021.04
7. S. Yang and S. H. Park*, "Development of a Raspberry-Pi- and Sensor-based System for Monitoring Milling Machines", Transactions of the KSME A, Vol. 2020.9. (Scopus)
6. 김근형, 양성모, 강지훈, 정진은, 박승환*, "텍스트마이닝을 이용한 무기체계 비정형 데이터 분석", 신뢰성응용연구, Vol. 20(4), pp. 349-356, 2020.12.
5. 김근형, 이강택, 윤정아, 서양우, 박승환*, "무기체계 신뢰도 예측 프로세스 현황과 후속군수지원 데이터 적용 방안", Journal of the Korea Academia-Industrial cooperation Society, Vol. 19(1), pp 566-576. 2018.01.
4. 송봉근, 김근형, 김용국, 박승환, 백준걸*, “무기체계의 신뢰성 향상을 위한 고장발생기간 중심의 대응분석 연구”, Journal of the Korea Academia-Industrial cooperation Society, Vol. 17(10), pp 289-299, 2016.08.
3. 김근형, 김용국, 박승환*, "A Framework for Quality Improvement in Weapon System using Post-Logistics Support Data", Journal of the Korea Academia-Industrial cooperation Society, Vol. 17(5), pp 680-687, 2016.05.
2. 유영지, 안대웅, 박승환, 백준걸, “반도체 공정에서의 Wafer Map Image 분석 방법론”, 대한산업공학회지, Vol. 41, No. 3, pp 267-274, 2015. 06.
1. 박새롬, 김준석, 박정술, 박승환, 백준걸, “MCSVM을 이용한 반도체 공정데이터의 과소 추출 기법”, 대한산업공학회지, Vol. 40, No. 4, pp 404-414, 2014.08.