Publications

Sejong University Research Profiles: https://sejong.elsevierpure.com/en/persons/chang-jae-chun/publications/

Google Scholar: https://scholar.google.co.kr/citations?user=QMOra_4AAAAJ&hl=en

International Journals

*corresponding author

• [19] J. Lee, S. Park, S. Kim, O.-K. Choi, and C.-J Chun*, "LiteFDNet: A lightweight network for current sensor-based bearing fault diagnosis," IEEE Access, accepted for publication, 2024 [IF: 3.4 (JCR'23)]

• [18] I. Malik, M. Yasmin, A. Iqbal, M. Raza, C.-J Chun, and M. A. Al-antari*, "A novel framework integrating ensemble transfer learning and ant colony optimization for knee osteoarthritis severity classification," Multimedia Tools and Applications, Jul. 2024 [IF: 3.0 (JCR'23)].

• [17] C.-J. Chun and C. Jeong*, "Data-driven resource allocation for deep learning in IoT networks,"  IEEE Internet of Things Journal, vol. 11, no. 2, pp. 2082-2096, Jan. 2024 [IF: 10.6  (JCR'22)].

• [16] H.-U. Lee, C.-J. Chun, and J.-M. Kang*, "Causality-Driven Efficient Feature Selection for Deep-Learning-Based Surface Roughness Prediction in Milling Machines," Mathematics, vol. 11, pp. 1-12, Nov. 2023 [IF: 2.4 (JCR'22)]

• [15] D.-W. Lim, C.-J. Chun, and J.-M. Kang*, "Transmit power adaptation for D2D communications underlaying SWIPT-based IoT cellular networks," IEEE Internet of Things Journal, vol. 10, no. 2, pp. 987-1000, Jan. 2023 [IF: 10.238  (JCR'21)].

• [14] T. Sim, S. Choi, Y. Kim, S. H. Youn, D-J. Jang, S. Lee, and C.-J. Chun*, "eXplainable AI (XAI)-based input variable selection methodology for forecasting energy consumption," Electronics, vol. 11, no. 18, pp. 1-14, Sep. 2022 [IF: 2.690 (JCR'21)].

• [13] C. Jeong, C.-J. Chun, W.-Y. Shin*, and I.-M. Kim, "Transport capacity optimization for resource allocation in Tera-IoT networks," IEEE Internet of Things Journal, vol. 9, no. 16, pp. 15270-15284, Aug. 2022 [IF: 10.238  (JCR'21)].

• [12] J.-M. Kang, C.-J. Chun, I.-M. Kim, and D.-I. Kim*, "Deep RNN-based channel tracking for wireless energy transfer system," IEEE Systems Journal, vol. 14, no. 3, pp. 4340-4343, Sep. 2020. [IF: 3.931]

• [11] J.-M. Kang and C.-J. Chun*, "Joint trajectory design, Tx power allocation, and Rx power splitting for UAV-enabled multicasting SWIPT systems," IEEE Systems Journal, vol. 14, no. 3, pp. 3740-3743, Sep. 2020 [IF: 3.931].

• [10] J.-M. Kang, I.-M. Kim, and C.-J. Chun*, "Deep learning based MIMO-NOMA with imperfect SIC decoding," IEEE Systems Journal, vol. 14, no. 3, pp. 3414-3417, Sep. 2020 [IF: 3.931].

• [9] J.-M. Kang, C.-J. Chun, and I.-M. Kim*, "Deep learning based channel estimation for MIMO systems with received SNR feedback," IEEE Access, vol. 8, pp. 121162-121181, Jul. 2020 [IF: 3.367].

• [8] J.-M. Kang, C.-J. Chun, I.-M. Kim, and D.-I. Kim*, "Dynamic power splitting for SWIPT with nonlinear energy harvesting in ergodic fading channel," IEEE Internet of Things Journal, vol. 7, no. 6, pp. 5648-5665, Jun. 2020 [IF: 9.936].

• [7] C.-J. Chun and J.-M. Kang*, "Optimal Training Design for MIMO Amplify-and-forward two-way relay systems in the presence of interference," IEEE Trans. Veh. Technol., vol. 69, no. 5, pp. 5151-5163, May 2020 [IF: 5.978].

• [6] C.-J. Chun, J.-M. Kang, and I.-M. Kim*, "Deep learning-based joint pilot design and channel estimation for multiuser MIMO channels," IEEE Commun. Lett., vol. 23, no. 11, pp. 1999-2003, Nov. 2019 [IF: 3.419].

• [5] C.-J. Chun, J.-M. Kang, and I.-M. Kim*, "Deep learning based channel estimation for massive MIMO systems," IEEE Wireless Commun. Lett., vol. 8, no. 4, pp. 1228-1231, Aug. 2019 [IF: 4.660].

• [4] D.-W Lim, J. Kangy, C.-J. Chun, and H.-M. Kim*, "Joint transmit power and time-switching control for device-to-device communications in SWIPT cellular networks," IEEE Commun. Lett., vol. 23, no. 2, pp. 322-325, Feb. 2019 [IF: 3.419].

• [3] C.-J. Chun, J.-M. Kang, and I.-M. Kim*, "Adaptive rate and energy harvesting interval control based on reinforcement learning for SWIPT," IEEE Commun. Lett., vol. 22, no. 12, pp. 2571-2574, Dec. 2018 [IF: 3.457].

• [2] J.-M. Kang, C.-J. Chun, and I.-M. Kim*, "Deep learning based channel estimation for wireless energy transfer," IEEE Commun. Lett., vol. 22, no. 11, pp. 2310-2313, Nov. 2018 [IF: 3.457].

• [1] C.-J. Chun, I.-M. Kim, D.-W. Lim, and H.-M. Kim*, "Channel training for MIMO relay systems in the presence of interference," IEEE Trans. Veh. Technol., vol. 66, no. 11, pp. 10601-10605, Nov. 2017 [IF: 4.432].

Conference Papers

• [20] S. Park and C.-J. Chun, "XAI-based feature selection for bearing anomaly detection," Autumn Annual Conference of IEIE, Nov. 2023.

• [19] H. Kwon, H. Yoon, T. Sim, S. Lee, H. Moon, and C-J. Chun, "Power consumption prediction using RNN-LSTM model," Autumn Annual Conference of IEIE, Nov. 2023.

• [18] J. H. Lee, J. K. Lee, T. Sim, S. Lee, H. Moon, and C.-J. Chun, "Performance analysis according to dataset similarity for meta-learning based anomaly detection," KICS Fall Conference, Nov. 2023. (장려상 수상)

• [17] D. Jung and C.-J. Chun, "Group-based feature selection method for enhancing anomaly detection in building energy consumption systems," Summer Annual Conference of IEIE, Jun. 2023.

• [16] J. H. Lee, J. Kim, and C.-J. Chun, "Defect detection of PCB components based on transfer learning and data augmentation," Summer Annual Conference of IEIE, Jun. 2023.

• [15] H. Yun, H. Gwon, and C.-J. Chun, "Neural network based anomaly detection for energy consumption using multi-domain data," Summer Annual Conference of IEIE, Jun. 2023.

• [14] S. Park and C.-J. Chun, "A Spectrogram Image-based spindle motor anomaly detection using convolutional neural network," Summer Annual Conference of IEIE, Jun. 2023.

• [13] J.-W. Kim, J. H. Lee, Y. J. Kim, S. Lee, C.-J Chun, and H.-J. Moon, "Defect detection of PCB parts using generative adversarial network," KSMTE  Annual Autumn Conference, Dec. 2022.

• [12] J. H. Lee, J.-W. Kim, and C.-J. Chun, "Transfer learning-based anomaly detection for PCB part assembly," KICS Fall Conference, Nov. 2022.

• [11] J. S. Lee and C.-J. Chun, "Residual learning-based electric motor anomaly detection," KICS Fall Conference, Nov. 2022.

• [10] H. Yun, H. Gwon, and C.-J. Chun, "Machine learning-based anomaly detection for heating energy consumption based on weather data," KICS Fall Conference, Nov. 2022.

• [9] H. Gwon, H. Yun, and C.-J. Chun, "Machine learning-based anomaly detection for gas heat pump system," KICS Fall Conference, Nov. 2022.

• [8] S. Park, Y. Oh, S. Kim, and C.-J. Chun, "A study on the optimal sampling rate for deep learning-based spindle motor abnormal detection," in Proc. Korea Artificial Intelligence Conference, Sep. 2022.

• [7] L. M. Dang, C. Oh, Y. Li, H. Wang, C.-J Chun, and H. Moon, "Robust tunnel crack segmentation and measurement using deep learning," in Proc. Next Generation Computing, May 2022.

• [6] Y. Oh, S. Park, H. Moon, T. Sim, S. Lee, and C.-J. Chun, "A study on machine learning method for anomaly detection in heat supply network based on big data," in Proc. Next Generation Computing, May 2022.

• [5] C. Jeong, C.-J. Chun, and W.-Y. Shin, "Terahertz meets transport capacity," in Proc. JCCI, Apr. 2022.

• [4] H. U. Lee, C.-J. Chun, J. W. Jeon, O. K. Choi, and J. M. Kim, "Development of Surface Roughness Prediction Model for CNC Machining Process based on Deep Learning," in Proc. KSMPE Spring Conference, Jun. 2020. [Best Paper Award]

• [3] D.-W. Lim, C.-J. Chun, H.-M. Kim, J.-H. Lim, and M.-S. Song, "An improved method for reflectivity estimation in frequency-sharing weather radar system," in Proc. ICCSIT, Limerick City, Ireland, Dec. 2016, pp. 1-5.

• [2] C.-J. Chun, J.-H. Lee, and H.-M. Kim, "Discriminatory channel estimation in MIMO decode-and-forward relay systems with cooperative jamming," in Proc. IEEE ICC-Workshops, Kuala Lumpur, Malaysia, May 2016, pp. 1-5.

• [1] D.-W. Lim, C.-J. Chun, J.-H. Lee, and H.-M. Kim, "Power allocation for time division broadcast protocol over Rayleigh fading channels," in Proc. IEEE ICNC, San Diego, CA, USA, Jan. 2013, pp. 1-5.

Patents

[6] Multi-domain anomaly detection method and apparatus for apartment complex, 2023

[5] System and method for acquiring image data for artificial intelligence learning, and a recoding medium having computer readable program for executing the method, 2020

[4] System and method for managing storage item using artificial intelligence, and a recoding medium having computer readable program for executing the method, 2020

[3] Mobile manipulator based metal surface inspector, 2020

[2] System and method for predicting manufacturing quality using artificial intelligence, 2020

[1] Operation method for interference cancellation in radar system and apparatus therefor, 2017

Technology Transfer

[2] AI-based real-time machine tool diagnosis software, main manager, 2020 (~2030.06.30.)

[1] KE-MES_V1.0, main manager, 2020 (~2030.12.31.)

Software Programs

[4] PCB 기판 결함탐지 모델, 2023.

[3] 에너지 이상 탐지 모델, 2023.

[2] AI-based real-time machine tool diagnosis software, main inventor, 2020.

[1] KE-MES_V1.0 (manufacturing execution system), 2nd inventor, 2019