Industrial AI: jung

BPM Lab. . . . . 1 match
* [http://www.win.tue.nl/ieeetfpm/doku.php?id=shared:jung_jae-yoon '''IEEE Task Force on Process Mining''']
Courses . . . . 47 matches
      * [https://jjyjung.github.io/ai/ Artificial Intelligence] [https://github.com/jjyjung/ai github]
      * [https://jjyjung.github.io/algorithm/ Algorithms for Industrial Engineers] [https://github.com/jjyjung/algorithm github]
      * [https://jjyjung.github.io/ai/ Artificial Intelligence] [https://github.com/jjyjung/ai github]
      * [https://jjyjung.github.io/algorithm/ Algorithms for Industrial Engineers] [https://github.com/jjyjung/algorithm github]
      * [https://github.com/jjyjung/ai/blob/gh-pages/index_2021.md Artificial Intelligence]
      * [https://github.com/jjyjung/algorithm/blob/gh-pages/index_2021.md Algorithms for Industrial Engineers]
      * [https://jjyjung.github.io/pmining/ Process Mining (graduate)]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=ai19 Artificial Intelligence]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=algo19 Algorithms for Industrial Engineers]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=db19 Database Theory & Practices]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=ict19 ICT Production System (graduate)]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=ai18 Artificial Intelligence]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=algo18 Algorithms for Industrial Engineers]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=db18 Database Theory & Practices] * 2 sections
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=sf18 Introduction to Smart Factory (graduate)]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=ai17 Artificial Intelligence]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=algo17 Algorithms for Industrial Engineers]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=hightech15 High-Tech Marketing]
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=enterprise15 Enterprise Information Design] * 2 sections
      * [http://web.khu.ac.kr/~jung/bbs/zboard.php?id=java15 JAVA Programming]
Data Mining . . . . 1 match
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Gallery . . . . 1 match
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IAI Lab. . . . . 5 matches
      * '''Young-Suk Han''' and Jae-Yoon Jung, "Imitation learning of '''job dispatching''' data combining classification and ranking", ''CAIE'', under revision 250221.
      * '''Seohyun Choi''', Young Ha Joo, Hoonseok Park, Younkook Kang, Ri Choe, and Jae-Yoon Jung*, "Travel Time Prediction for Line-to-line Transfers in a '''Semiconductor Fab''': A Case Study", ''RCIM'', under revision 240416.
      * '''Aekyung Kim''' and Jae-Yoon Jung*, "'''Multi-objective Scheduling''' Using Deep Reinforcement Learning, ''JIM'', under revision 0705.
      * '''Josue Obregon''' and Jae-Yoon Jung*, "Rule-based Visualization of Faulty Process Conditions in the '''Die-casting''' Manufacturing", ''Journal of Intelligent Manufacturing'', vol. 35, no. 2, Feb 2024, pp. 521-537. (SCIE, IF=8.3, 15.5%, CS/AI) (Ack: Engy, OCC). [https://doi.org/10.1007/s10845-022-02057-1 doi] [https://link.springer.com/content/pdf/10.1007/s10845-022-02057-1.pdf pdf] [https://drive.google.com/file/d/1yjpCUGbqupA6AqWsd3XvMl3cUeMKtSBz/ pdf]
      * '''Josue Obregon''', Jihoon Hong, Jae-Yoon Jung*, "Rule-based Explanations Based on Ensemble Machine Learning for Detecting Sink Mark Defects in the '''Injection Moulding''' Process", ''Journal of Manufacturing Systems'', Vol. 60, Jul. 2021, pp. 392-405 (SCIE, IF=8.633, 0.6%, OR/MS). [https://www.sciencedirect.com/science/article/pii/S0278612521001382?via%3Dihub link]
      * '''Aekyung Kim''', Kyuhyup Oh, Jae-Yoon Jung*, and Bohyun Kim, "'''Imbalanced Classification''' of Manufacturing Quality Conditions Using Cost-Sensitive Decision Tree Ensembles",''International Journal of Computer Integrated Manufacturing'', Vol. 31, No. 8, Aug 2018, pp. 701-717. (SCIE, IF=2.090, 38%, OR/MS) [http://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1407447 link] [http://www.tandfonline.com/eprint/9JwDxaSmfSsizDnrzsSC/full pdf]
      * '''Jimin Kim, Josue Obregon, Hoonseok Park''', Jae-Yoon Jung*, "Multi-step day-ahead '''photovoltaic power forecasting''' using transformer networks with pretrained recurrent neural networks", ''Renewable and Sustainable Energy Reviews'', vol. 200, Aug 2024, 114479. (SCIE, '''IF=15.9, 3.3%(2/46)''', GSST) (Ack: Engy, AIC). [https://doi.org/10.1016/j.rser.2024.114479 doi] [https://drive.google.com/file/d/1hJVdAMS5wv9u6UhlNA2Y_rj3V2Ub0K8K/view?usp=drive_link pdf]
      * '''Josue Obregon''', '''Yu-Ri Han''', Chang Won Ho, Devanadane Mouraliraman, Chang Woo Lee*, and Jae-Yoon Jung*, "Convolutional Autoencoder-based '''SOH Estimation of Lithium-ion Batteries''' Using Electrochemical Impedance Spectroscopy", ''Journal of Energy Storage'', Vol. 60, Apr. 2023, 106680. (SCIE, IF=8.907, 19.0%, E&F) (Ack: Engy, AIC). [https://www.sciencedirect.com/science/article/pii/S2352152X23000774 link] [https://drive.google.com/file/d/1PcnCnPpboJztMafFdJLYtpLfWpZdWUd6/ pdf]
      * '''Berny Carrera''', '''Min Kyu Sim'''*, and Jae-Yoon Jung, "PVHybNet: A Hybrid Framework for '''Predicting Photovoltaic Power Generation''' Using Both Weather Forecast and Observation Data", ''IET Renewable Power Generation'', Vol. 14, No. 12, Sep. 2020, pp. 2192-2201. (SCIE, IF=3.894, 21%, EEE) [https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2018.6174 link] [https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rpg.2018.6174 pdf]
      * '''Hoonseok Park''', '''Donghyun Park''', Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee, and Jae-Yoon Jung*, "Perturbation-based Influence Estimation for Example-based Explanation of Convolutional Neural Networks in EEG-based BCI", ''TSMC'', to be submitted.
      * '''Donghyun Park''', Hoonseok Park, Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee, and Jae-Yoon Jung*, "'''Spatio-temporal explanation''' of 3D-EEGNet for motor imagery EEG classification using permutation and saliency", ''IEEE Transactions on Neural Systems and Rehabilitation Engineering'', vol. 31, Nov 2023, pp. 4504-4513. (SCIE, IF=4.9, __5.1%__, Reh) (Ack: EEG, AIC). [https://ieeexplore.ieee.org/document/10310256/ link] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10310256 pdf]
      * Sanghyun Choo, '''Hoonseok Park''', Sangyeon Kim, '''Donghyun Park''', Jae-Yoon Jung, Sangwon Lee, and Chang S. Nam*, "Effectiveness of Multi-Task Deep Learning Framework for EEG-based '''Emotion and Context Recognition'''", ''Expert Systems with Applications'', vol. 227, Oct 2023, 120348. (SCIE, IF=8.5, __6.4%__, OR/MS) (Ack: EEG, etc.)[https://doi.org/10.1016/j.eswa.2023.120348 link] [https://www.sciencedirect.com/science/article/pii/S0957417423008503/pdfft?md5=93b0a87825134dc63c2de87b7dd63950&pid=1-s2.0-S0957417423008503-main.pdf pdf]
      * Sangyeon Kim, Sanghyun Choo, Donghyun Park, Hoonseok Park, Chang S. Nam, Jae-Yoon Jung, and Sangwon Lee*, "Designing an '''XAI Interface for BCI Experts''': A Contextual Design for Pragmatic Explanation Interface Based on Domain Knowledge in a Specific Context", ''International Journal of Human-Computer Studies'', vol. 174, Jun 2023, 103009. (SSCI, IF=5.4, 11.9%, Ergo) (Ack: EEG, etc). [https://www.sciencedirect.com/science/article/pii/S1071581923000150 link] [https://www.sciencedirect.com/science/article/pii/S1071581923000150/pdfft?md5=c43d7a6ff62416f94cb62fc20b7ce6c6&pid=1-s2.0-S1071581923000150-main.pdf pdf]
      * '''Josue Obregon''' and Jae-Yoon Jung*, "'''RuleCOSI+''': Rule Extraction for Interpreting Classification Tree Ensembles", ''Information Fusion'', Vol. 89, Jan. 2023, 355-381. (SCIE, IF=__17.564, 0.45%(1/109)__, CS/T&M) (Ack: Engy, OCC). [https://www.sciencedirect.com/science/article/pii/S1566253522001129 link] [https://www.sciencedirect.com/science/article/pii/S1566253522001129/pdfft?md5=0b58e19ec75339e444a7354d6b745245&pid=1-s2.0-S1566253522001129-main.pdf pdf] [https://drive.google.com/file/d/1qYXTT5mcOtSKSo9bXY6R_lpeID5BnILc/ pdf]
      * '''Josue Obregon''', Aekyung Kim, and Jae-Yoon Jung*, "'''RuleCOSI''': Combination and Simplification of Production Rules from Boosted Decision Trees for Imbalanced Classification", ''Expert Systems with Applications'', Vol. 126, Jul 2019, pp. 64-82. (SCIE, IF=4.292, 8%, OR/MS) [https://doi.org/10.1016/j.eswa.2019.02.012 link] [https://drive.google.com/file/d/1FwMrNQXNCo_6g0U9O52n47DEN5oURglI/view?usp=sharing pdf]
      * '''Donghyun Park''', Hoonseok Park, Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee, and Jae-Yoon Jung*, "'''Spatio-temporal explanation''' of 3D-EEGNet for motor imagery EEG classification using permutation and saliency", ''IEEE Transactions on Neural Systems and Rehabilitation Engineering'', vol. 31, Nov 2023, pp. 4504-4513. (SCIE, IF=4.9, __5.1%__, Reh) (Ack: EEG, AIC). [https://ieeexplore.ieee.org/document/10310256/ link] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10310256 pdf]
      * '''Young-Suk Han''' and Jae-Yoon Jung*, "A Stable Multi-Object Tracking Method for Unstable and Irregular Maritime Environments", ''Journal of Marine Science and Engineering'', 12(12), Dec 2024, 2252. (SCIE, IF=2.7, 22%(6/25), MRE) (Ack: DAPA, AIC) [https://doi.org/10.3390/jmse12122252 doi] [https://www.mdpi.com/2077-1312/12/12/2252/pdf?version=1733749085 pdf]
      * '''Bitzel Cortez''', Berny Carrera, Young-Jin Kim, and Jae-Yoon Jung*, "An Architecture for '''Emergency Event Prediction''' Using LSTM Recurrent Neural Networks", ''Expert Systems with Applications'', Vol. 97, May 2018, pp. 315-324. (SCIE, IF=3.928, 3%, OR/MS) [http://www.sciencedirect.com/science/article/pii/S0957417417308606 link] [https://ac.els-cdn.com/S0957417417308606/1-s2.0-S0957417417308606-main.pdf?_tid=7a175d9c-e6fe-11e7-ad42-00000aab0f6b&acdnat=1513936810_8ee150967c2d415218f873f9ad50ff39 pdf]
      * YeonJun In and Jae-Yoon Jung*, "Simple Averaging of '''Direct and Recursive Forecasts''' via Partial Pooling Using Machine Learning", ''International Journal of Forecasting'', Vol. 38, No. 4, Oct. 2022, pp. 1386-1399. (SSCI, IF=7.022, 6.2%(24/379), Econo) [https://www.sciencedirect.com/science/article/pii/S0169207021001813 link] [https://drive.google.com/file/d/1iwTewGKMoyxPBM1QGUUFbFjnR0V_5y7L/ pdf]
      * '''Hoonseok Park''' and Jae-Yoon Jung*, "'''SAX-ARM: Deviated Event Pattern Discovery''' from Multivariate Time-Series Using Symbolic Aggregate Approximation and Association Rule Mining", ''Expert Systems with Applications'', Vol. 141, Mar 2020, 112950. (SCIE, IF=5.452, 1.8%, OR/MS)
JYJung . . . . 9 matches
     === Professor Jae-Yoon Jung ===
      ||<|4>attachment:Members/jung9.jpg||<width="80%">'''Affiliation''': [[br]]Professor, Industrial & Management Systems Engineering (IE), KHU, 2007.9~present [[br]]Adjunct Professor, Artificial Intelligence (AI), KHU, 2022.9~present [[br]]Adjunct Professor, Big Data Analytics (BDA), KHU, 2020.9~present [[br]]Adjunct Professor, Software Convergence (SWCon), KHU, 2017.3~present[[br]]'''Address''': [[br]]1732, Deogyeong-daero, Giheung-gu, Yongin-si, Gyeonggi-do 17104, Republic of Korea [[br]]'''Tel''': +82 31 201 2537 / '''E-mail''': jyjung_at_khu.ac.kr[[br]][http://iai.khu.ac.kr/wiki/wiki.php/JYJung] [[br]][http://web.khu.ac.kr/~jung] [[br]][http://web.khu.ac.kr/~jung/paper/Jung_CV_201310.pdf '''Curriculum vitae''']||
      Dr. Jae-Yoon Jung (정재윤, 鄭在倫) is a professor in the department of industrial and management systems engineering at Kyung Hee University (KHU), Korea, and also an adjunct professor of the department of artificial intelligence, the department of the department of big data analytics (BDA), and the department of software convergence (SWCon), KHU. He is leading Industrial AI Lab at KHU.
      1. '''Josue Obregon''' and Jae-Yoon Jung*, "'''RuleCOSI+''': Rule Extraction for Interpreting Classification Tree Ensembles", ''Information Fusion'', Vol. 89, Jan. 2023, 355-381. (SCIE, IF=__17.564, 0.45%(1/109)__, CS/T&M) (Ack: Engy, OCC). [https://www.sciencedirect.com/science/article/pii/S1566253522001129 link] [https://www.sciencedirect.com/science/article/pii/S1566253522001129/pdfft?md5=0b58e19ec75339e444a7354d6b745245&pid=1-s2.0-S1566253522001129-main.pdf pdf] [https://drive.google.com/file/d/1qYXTT5mcOtSKSo9bXY6R_lpeID5BnILc/ pdf]
      1. '''Josue Obregon''', Aekyung Kim, and Jae-Yoon Jung*, "'''RuleCOSI''': Combination and Simplification of Production Rules from Boosted Decision Trees for Imbalanced Classification", Expert Systems with Applications, Vol. 126, Jul 2019, pp. 64-82. (SCIE, IF=4.292, 8%, OR/MS) [https://doi.org/10.1016/j.eswa.2019.02.012 link] [https://drive.google.com/file/d/1FwMrNQXNCo_6g0U9O52n47DEN5oURglI/view?usp=sharing pdf]
      1. '''Donghyun Park''', Hoonseok Park, Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee, and Jae-Yoon Jung*, "'''Spatio-temporal explanation''' of 3D-EEGNet for motor imagery EEG classification using permutation and saliency", ''IEEE Transactions on Neural Systems and Rehabilitation Engineering'', vol. 31, Nov 2023, pp. 4504-4513. (SCIE, IF=4.9, __5.1%__, Reh) (Ack: EEG, AIC). [https://ieeexplore.ieee.org/document/10310256/ link] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10310256 pdf]
      1. '''Young-Suk Han''' and Jae-Yoon Jung, "Imitation learning of job dispatching data combining classification and ranking", ''CAIE'', submitted 241010. (SCIE, IF=6.7, 11.5%(20/169), CS/IA)
      1. '''Seohyun Choi''', Young Ha Joo, Hoonseok Park, Younkook Kang, Ri Choe, and Jae-Yoon Jung*, "Travel Time Prediction for Line-to-line Transfers in a '''Semiconductor Fab''': A Case Study", ''RCIM'', under revision 240416. (SCIE, IF=10.4, 5.9%, CS/IA)
      1. '''Aekyung Kim''', Jae-Yoon Jung*, "'''Multi-objective Scheduling''' Using Deep Reinforcement Learning, ''JIM'', under revision 0705. (Ack: AIC, OCC)
      1. '''Josue Obregon''' and Jae-Yoon Jung*, "Rule-based Visualization of Faulty Process Conditions in the '''Die-casting''' Manufacturing", ''Journal of Intelligent Manufacturing'', vol. 35, no. 2, Feb 2024, pp. 521-537. (SCIE, IF=8.3, 15.5%, CS/AI) (Ack: Engy, OCC). [https://doi.org/10.1007/s10845-022-02057-1 doi] [https://link.springer.com/content/pdf/10.1007/s10845-022-02057-1.pdf pdf] [https://drive.google.com/file/d/1yjpCUGbqupA6AqWsd3XvMl3cUeMKtSBz/ pdf]
      1. '''Josue Obregon''', Jihoon Hong, Jae-Yoon Jung*, "Rule-based Explanations Based on Ensemble Machine Learning for Detecting Sink Mark Defects in the '''Injection Moulding''' Process", Journal of Manufacturing Systems, Vol. 60, Jul. 2021, pp. 392-405 (SCIE, IF=8.633, 0.6%, OR/MS). [https://www.sciencedirect.com/science/article/pii/S0278612521001382?via%3Dihub link]
      1. '''Aekyung Kim''', Kyuhyup Oh, Jae-Yoon Jung*, and Bohyun Kim, "'''Imbalanced Classification''' of Manufacturing Quality Conditions Using Cost-Sensitive Decision Tree Ensembles", International Journal of Computer Integrated Manufacturing, Vol. 31, No. 8, Aug 2018, pp. 701-717. (SCIE, IF=2.090, 38%, OR/MS) [http://www.tandfonline.com/doi/full/10.1080/0951192X.2017.1407447 link] [http://www.tandfonline.com/eprint/9JwDxaSmfSsizDnrzsSC/full pdf]
      1. '''Jimin Kim, Josue Obregon, Hoonseok Park''', Jae-Yoon Jung*, "Multi-step day-ahead '''photovoltaic power forecasting''' using transformer networks with pretrained recurrent neural networks", ''Renewable and Sustainable Energy Reviews'', vol. 200, Aug 2024, 114479. (SCIE, __'''IF=15.9, 3.3%(2/46)'''__, GSST) (Ack: Engy, AIC). [https://doi.org/10.1016/j.rser.2024.114479 doi] [https://drive.google.com/file/d/1hJVdAMS5wv9u6UhlNA2Y_rj3V2Ub0K8K/view?usp=drive_link pdf]
      1. '''Josue Obregon''', '''Yu-Ri Han''', Chang Won Ho, Devanadane Mouraliraman, Chang Woo Lee*, and Jae-Yoon Jung*, "Convolutional Autoencoder-based '''SOH Estimation of Lithium-ion Batteries''' Using Electrochemical Impedance Spectroscopy", ''Journal of Energy Storage'', Vol. 60, Apr. 2023, 106680. (SCIE, IF=8.907, 19.0%, E&F) (Ack: Engy, AIC). [https://www.sciencedirect.com/science/article/pii/S2352152X23000774 link] [https://drive.google.com/file/d/1PcnCnPpboJztMafFdJLYtpLfWpZdWUd6/ pdf]
      1. '''Berny Carrera''', '''Min Kyu Sim'''*, and Jae-Yoon Jung, "PVHybNet: A Hybrid Framework for '''Predicting Photovoltaic Power Generation''' Using Both Weather Forecast and Observation Data", ''IET Renewable Power Generation'', Vol. 14, No. 12, Sep. 2020, pp. 2192-2201. (SCIE, IF=3.894, 21%, EEE) [https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-rpg.2018.6174 link] [https://ietresearch.onlinelibrary.wiley.com/doi/epdf/10.1049/iet-rpg.2018.6174 pdf]
      1. YeonJun In and Jae-Yoon Jung*, "Simple Averaging of '''Direct and Recursive Forecasts''' via Partial Pooling Using Machine Learning", International Journal of Forecasting, Vol. 38, No. 4, Oct. 2022, pp. 1386-1399. (SSCI, IF=7.022, 6.2%(24/379), Econo) [https://www.sciencedirect.com/science/article/pii/S0169207021001813 link] [https://drive.google.com/file/d/1iwTewGKMoyxPBM1QGUUFbFjnR0V_5y7L/ pdf]
      1. '''Hoonseok Park''' and Jae-Yoon Jung*, "'''SAX-ARM: Deviated Event Pattern Discovery''' from Multivariate Time-Series Using Symbolic Aggregate Approximation and Association Rule Mining", Expert Systems with Applications, Vol. 141, Mar 2020, 112950. (SCIE, IF=5.452, 1.8%, OR/MS)
      1. '''Bitzel Cortez''', Berny Carrera, Young-Jin Kim, and Jae-Yoon Jung*, "An Architecture for '''Emergency Event Prediction''' Using LSTM Recurrent Neural Networks", Expert Systems with Applications, Vol. 97, May 2018, pp. 315-324. (SCIE, IF=3.928, 3%, OR/MS) [http://www.sciencedirect.com/science/article/pii/S0957417417308606 link] [https://ac.els-cdn.com/S0957417417308606/1-s2.0-S0957417417308606-main.pdf?_tid=7a175d9c-e6fe-11e7-ad42-00000aab0f6b&acdnat=1513936810_8ee150967c2d415218f873f9ad50ff39 pdf]
      1. '''Kwanho Kim''', Kyuhyup Oh, Yeong Kyu Lee, SungHo Kim, and Jae-Yoon Jung*, "An Analysis on '''Movement Patterns between Zones''' Using Smart Card Data in Subway Networks", International Journal of Geographical Information Science, Vol. 28, No. 9, Sep 2014, pp. 1781-1801. [http://web.khu.ac.kr/~jung/paper/Jung_IJ_2014_IJGIS.pdf pdf]
      1. '''Josue Obregon''', Minseok Song, and Jae-Yoon Jung*, "'''InfoFlow''': Mining Information Flow Based on User Community in Social Networking Services", IEEE Access, Vo. 7, Apr 2019, pp. 48024-48036. (SCIE, IF=4.098, 14%, CS/IS) [https://ieeexplore.ieee.org/document/8681519?arnumber=8681519 link] [https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8681519 pdf]
Jae-YoonJung . . . . 3 matches
     === Jae-Yoon Jung, Ph.D. ===
      ||<|4>attachment:jung2.jpg||<width="80%">Assistant Professor, Industrial Engineering, Kyung Hee University [[br]]1 Seochen-Dong, Giheung-Gu, Yongin-Si, Gyeonggi-Do, 446-701, Korea [[br]] '''Office''': 438-Ho, Eng. Bld. [[br]]'''Tel''': +82 31 201 2537[[br]] '''E-mail''': jyjung_at_khu.ac.kr[[br]]'''Home''': http://web.khu.ac.kr/~jung [[br]] http://bpm.khu.ac.kr/wiki/wiki.php/Jae-YoonJung||
      Dr. Jung is an assistant professor in the department of industrial and management systems engineering at Kyung Hee University (KHU). He is also the director of Business Process Management Lab at KHU. He received the Ph.D., M.S., and B.S. degrees in Industrial Engineering at Seoul National University (SNU), in 2005, 2001, and 1999, respectively. In SNU, he was supervised by prof. Suk-Ho Kang and Yeongho Kim in Intelligent Manufacturing Systems Lab. After that, he also collaborated with prof. Jonghun Park in Information Management Lab at SNU, and visited BPM Group in Faculty of Technology Management, Eindhoven University of Technology (TU/e) in the Netherland, supervised by prof. Wil van der Aalst. Before joining in KHU, he worked for u-Computing Innovation Center (uCIC) directed by Prof. Jinwoo Park.
Members . . . . 4 matches
     ||<|4>attachment:jung9.jpg?width=120||<width="80%">[http://bpm.khu.ac.kr/wiki/wiki.php/JYJung '''Jae-Yoon JUNG (정재윤, 鄭在倫)'''] [[br]]Professor, Dept. of Industrial & Management Systems Engineering (IE), KHU, 2018.9~present [[br]]Dean of Information Service and Strategy, KHU, 2021.9~present [[br]]Adjunct Professor, Dept. of Artificial Intelligence (AI), KHU, 2022.9~present [[br]]Adjunct Professor, Dept. of Big Data Analytics (BDA), KHU, 2020.9~present [[br]]Adjunct Professor, Dept. of Software Convergence (SWCon), KHU, 2017.3~present [[br]]Department Head, BDA, KHU, 2021.9~2022.8, 2024.3~ [[br]]Graduate Program Director, IE, KHU, 2018.2~2020.1 [[br]]Department Head, IE, KHU, 2015.2~2018.1 [[br]]Director, Graduate Program for Smart Manufacturing Intelligence (SMI), KHU, 2017.3~2020.2[[br]]Associate/Assistant Professor, IE, KHU, 2007.9~2018.8 [[br]]Ph.D./M.S./B.S., Industrial Engineering, Seoul National University, 2005, 2001, 1999 [[br]] (Office) 430-Ho, Eng. Bld., (Tel) +82-31-201-2537, (E-mail) jyjung_at_khu.ac.kr [[br]](Lab) http://iai.khu.ac.kr/wiki/wiki.php/JYJung [[br]](Personal) http://web.khu.ac.kr/~jung [[br]] [https://drive.google.com/file/d/1MgIE0Cbr949q1uHZRneCGj181f_i7KKq/ Curriculum vitae] [https://scholar.google.com/citations?user=iuRrCpIAAAAJ&hl=en Google scholar] [https://www.scopus.com/authid/detail.uri?authorId=55575978400 Scopus profile] [https://orcid.org/0000-0002-4850-6284 orcid] ||
     ##||attachment:win.jpg?width=120||<width="80%">'''Yeung-Yoon JUNG''' (RA, 2018) [[br]]Hyundae Motors, 2019.7~[[br]]Research Assistant at IAILab., 2016.3~2016.12, 2017.9~2018.4[[br]]Industrial Engineering, Kyung Hee University[[br]]E-mail - fedbook_at_naver.com||
     ||attachment:jhjung.jpg||<width="80%">'''Jihwan JUNG''' (MS, 2010)[[br]]Master of Science at MISLab., 2008.3~2010.2[[br]]B.S., Industrial Engineering, Kyung Hee University, 2008.2[[br]]Business Innovation Center, LG Display (LG디스플레이)[[br]]jiwhan_at_lgdisplay.com[[br]]'''Thesis''': SCOR 모델에 기반한 제조협업에서의 협력적 성과지표 관리||
Publications . . . . 16 matches
      1. '''Junmo An''' and Jae-Yoon Jung*, "An Explainable 1D-CNN Deep Learning Method for Fault Diagnosis of Rotating Machinery Using FFT-CAM", working (Korean draft, Experiment complete)
      1. '''Young-Suk Han, Donghyun Park''', and Jae-Yoon Jung*, "Interpretation of Machine Learning for Wind Power Forecasting in Jeju Island, Korea", ''Sustainable Energy Technologies and Assessments'', working (Korean draft, Experiment complete).
      1. '''Jimin Kim, Hoonseok Park''', Jae-Yoon Jung*, "Learning Storage Policies for SBS/RS Using Hierarchical Deep Q-Network", working (Korean draft, Experiment complete).
      1. '''Donghyun Park''' and Jae-Yoon Jung*, "Explainable domain generalization for time series", ''IF'', to be submitted. (SCIE, IF=14.7, 1.0%(2/143), CS/TM)
      1. '''Jeong-Eon Ahn, Young-Suk Han''', and Jae-Yoon Jung*, "A Machine Learning-based Constructive Scheduling Method for Multi-objective Scheduling using Learning MIP Solutions", ''IJPR'', to be submitted. (SCIE, IF=7.0, 14%(10/69), IE) - 수정중
      1. '''Young Ha Joo, Seohyun Choi, Hoonseok Park''', Jae-Yoon Jung*, Younkook Kang, and Ri Choe, "Traffic flow speed prediction in semiconductor fab using temporal graph convolutional networks", ''JIII'', to be submitted. (SCIE, IF=10.4, 2.7%(5/169), CS/IA) - 교정
      1. '''Hoonseok Park, Young Ha Joo''', Donghun Lee, Haejoong Kim, Ri Choe, Younkook Kang, Kwanho Kim and Jae-Yoon Jung*, "Rail Network-Embedded Neural Networks for Travel Time Prediction of OHT in a Semiconductor Fab", ''TII'', to be resubmitted. (SCIE, IF=11.7, 1.5%(3/169), CS/IA) - 교정
      1. '''Hoonseok Park''', '''Donghyun Park''', Sangyeon Kim, Sanghyun Choo, Chang S. Nam, Sangwon Lee, and Jae-Yoon Jung*, "Perturbation-based Influence Estimation for Example-based Explanation of Convolutional Neural Networks in EEG-based BCI", ''TSMC'', to be submitted. (SCIE, IF=8.6, 5.4%(5/84), ACS) - 교정
      1. '''Donghyuk Jang, Seohyun Choi''', and Jae-Yoon Jung*, "Interpretable open-set recognition for fault diagnosis of rotating machines", ''JMS'', to be submitted. (SCIE, IF=12.2, 0.5%(1/69), OR/MS) - 교정
      1. '''Hanik Cho, Donghyun Park,''' and Jae-Yoon Jung, "Supervised contrastive learning for fault classification of rotating machines", ''AEI'', to be submitted. (SCIE, IF=8.0, 2.0%(4/179), E/MD) - 완성
      1. '''Donghyun Park, Junmo An''', and Jae-Yoon Jung*, "Performance Comparison of One-class Classification Tech-niques for Fault Detection Based on Vibration Data", ''Processes'', to be submitted. (SCIE, IF=2.8, 47%(80/170), CE) - 완성
      1. '''Aekyung Kim''' and Jae-Yoon Jung*, "DQN: Multi-objective Scheduling Using Deep Reinforcement Learning", ''JIM'', under revision 230705. (SCIE, IF=5.9, 19%(39/197), CS/AI) (Ack: AIC, OCC) - 완성
      1. '''Young-Suk Han''' and Jae-Yoon Jung*, "Job Dispatching Method for Production Scheduling Using Machine-Learned Ranking", ''IJPR'', to be submitted. (SCIE, IF=7.0, 14%(10/69), IE) - 완성
      1. '''Seohyun Choi, Young Ha Joo, Hoonseok Park''', Younkook Kang, Ri Choe, and Jae-Yoon Jung*, "Travel Time Prediction for Line-to-line Transfers in a Semiconductor Fab: A Case Study", ''JMS'', to be submitted. (SCIE, IF=12.2, 0.5%(1/69), OR/MS) - 완성
      1. '''Donghyuk Jang, Seohyun Choi''', and Jae-Yoon Jung*, "Fault Monitoring and Visualization System of Integrating Multiclass Mahalanobis-Taguchi Systems and Principal Component Analysis", ''EAAI'', under revision 240501. (SCIE, IF=8.0, 5.0%, MDE)
      1. Donghun Lee, Suhee Kim, '''Hoonseok Park''', Haejoong Kim, Ri Choe, Younkook Kang, Jae-Yoon Jung, and Kwanho Kim*, "An integrated neural network-based traffic congestion prediction for material handling systems of semiconductor manufacturing", ''IEEE Access'', under revision 250406. (SCIE, IF=3.4, 35%, IS)
      1. '''Young-Suk Han''' and Jae-Yoon Jung, "Imitation learning of job dispatching data combining classification and ranking", ''Computers & Industrial Engineering'', accepted 250606. (SCIE, IF=6.7, 11.5%, CS/IA) [doi] [pdf]
      1. '''Donghyun Park''', Jae-Yoon Jung*, and Beom Jin Park, "Estimation of Ship Operational Performance Degradation Using Fuel Oil Consumption Prediction Models Based on Deep Neural Networks with Shortcut Connection", ''International Journal of Naval Architecture and Ocean Engineering'', online published 250529. (SCIE, IF=2.3, 30%, Marine) (Ack: Ship, AIC) [https://doi.org/10.1016/j.ijnaoe.2025.100666 doi] [pdf]
      1. '''Young-Suk Han''' and Jae-Yoon Jung*, "Three-stage data-driven approach to fast and accurate job dispatching using learning-to-rank techniques", ''Lecture Notes in Production Engineering (ICPR 2023)'', 2025. (Scopus) (Ack: AIC)
      1. '''Yu-Ri Han''', '''Donghyun Park''', '''Young-Suk Han''', and Jae-Yoon Jung*, "Cost-efficient Active Transfer Learning Framework for Object Detection from Engineering Documents", ''Processes'', 13(6), 1657. (SCIE, IF=2.8, 47%) (Ack: Qual, AIC) [https://doi.org/10.3390/pr13061657 doi] [https://www.mdpi.com/2227-9717/13/6/1657/pdf?version=1748164201 pdf]
Seminar . . . . 1 match
http://web.khu.ac.kr/~jung/bbs/zboard.php?id=seminar
Seminars . . . . 4 matches
      * 태블로: 클라우드 라이센스 <- Jung
      * mdpi Energies에 제출 (XAI of wind power generation) - 한글 => mdpi에 회신 [jung]
      * L2R 검토 [jung]
      [http://web.khu.ac.kr/~jung/publication.html http://web.khu.ac.kr/~jung/publication.html]
      * 9/21 : 박동현 - RuleCOSI+ (J. Obregon and Jung, 2022)[IF]
      - SFA모델 : => 정체예측모형 개발 => Jung 알아보기
     - 고장진단 방안 => 포맷(Jung)
      * DenseUNet => Hyperparameter 목록 기재 => 하나씩 바꿔보면서 최적 세트 찾기 (w/ Jung)
      * CSPI : 제안서 제출 (by Jung)
      * ASAP : Submission to IEEE TKDE (by Jung)
meeting . . . . 2 matches
      * review the Bitzel's paper : Jung -> Josue's
      - uBPM, Reality : 다년도카드 연장(jung)
      - uBPM, Reality : 다년도카드 연장(jung)
      - Reality Mining: 연구원 참여 확인 필요. IEICE 논문게재료 처리 필요함 (Jung 결제완료).
      - uBPM: EA학회 논문게재료 지급신청(to Jung)
      - Reality Mining: 협약계획서 제출(Jung & JLee), 계약후 IEICE 논문게재료 처리 필요함.
      - uBPM: 인센티브 신청***(Jung)
      - Reality Mining: 연차보고서 작성 계획 -> 실적부분 채우기***(Jung), 인센티브 신청***(Jung)
      - AK : *** 애경: DSS에 논문 확장할 부분 고민해보기 (Jung)
      - Reality Mining : 인센티브 신청(Jung), 과제비 조정(JS) -> 확인 필요
      - Construct personal web page by the end of March.(e.g. http://bpm.khu.ac.kr/wiki/wiki.php/JYJung)
      '''- Reality Mining : 인센티브 신청(Jung), 과제비 조정(JS)'''
      - '''Construct personal web page by the end of March.'''(e.g. http://bpm.khu.ac.kr/wiki/wiki.php/JYJung)
member_temp . . . . 1 match
||<|4>attachment:Members/jung9.jpg||<width="80%">[http://bpm.khu.ac.kr/wiki/wiki.php/JYJung '''Jae-Yoon JUNG'''] [[br]]Professor, Dept. of Industrial & Management Systems Engineering (IE), KHU, 2018.9~present [[br]]Associate/Assistant Professor, IE, KHU, 2007.9~2018.8 [[br]]Adjunct Professor, Dept. of Software Convergence (SWCon), KHU, 2017.3~present [[br]]Director, Smart Factory Program (SMI), KHU, 2017.3~present [[br]]Graduate Program Director, IE, KHU, 2018.2~present [[br]]Department Head, IE, KHU, 2015.2~2018.1 [[br]]Ph.D./M.S./B.S., Industrial Engineering, Seoul National University, 2005, 2001, 1999 ||

Found 13 matching pages out of 185 total pages


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