2023 Journal Publication; 2023
1. Zhang, Haolan; Xue, Yun; Lu, Yifan; Lee, Sanghyuk, A Fusion Model: Towards a Virtual, Physical and Cognitive Integration and its Principles, IEEE Consumer Electronics Magazine, pp. 1-7, 1 August 2023 (Early access) (Q1, SCI IF. 4.135) , DOI: 10.1109/MCE.2023.3300488
2. Sanghyuk, Youpeng Yang, Analysis on the relation with similarity measure and hesitation for the intuitionistic fuzzy sets, Submitted to International Journal of Artificial Intelligence, Accepted. 18 August 2023 (Q2, SCOPUS)
2022
1. Sanghyuk Lee, Mihail Popescu and Eneko Osaba, Smart Processing for Systems under Uncertainty or Perturbation, Electronics, 2022, vol. 11, no. 5, 680, (SCIE, IF 2.397), 23 Feb. 2022. http://doi.org/10.3390/electronics11050680
2. Dharyll Prince M. Abellana, Robert R. Roxas, Demelo M. Lao, Paula E. Mayol and Sanghyuk Lee, Ensemble Feature Selection in Binary Machine Learning Classification: A Novel Application of the Evaluation based on Distance from Average Solution (EDAS) Method, September 2022, Mathematical Problems in Engineering 2022 (1):1-13. DOI: 10.1155/2022/4126536 (SCI, IF 1.43).
2021
1. Yang Y., Ding C., Lee S., Yu L. & Ma F., A Modified Teunter-Syntetos-Babai Method for Intermittent Demand Forecasting, Journal of Management Science and Engineering, vol.6, Issue 1, pp. 53-63, March 2021 https://doi.org/10.1016/j.jmse.2021.02.008
2. Long Zhao, Sanghyuk Lee and Seon-Phil Jeong, Design Tree Application to Classification Problems with Boosting Algorithm, Electronics, vol. 10, Issue 16, 2021. http://doi:10.3390/electronics10161903 (SCIE, IF 2.397)
3. Sanghyuk Lee, Mohamed Nayel, Van Huy Pham, Sang Bong Rhee, Algorithms and Devices for Smart Processing Technology for Energy Saving, Mathematical Problems in Engineering, Volume 2021, Article ID 9853615, 2 pages https://doi.org/10.1155/2021/9853615 2021 (SCIE, IF 1.305)
4. Jaehoon Cha, Moon Keun Kim, Sanghyuk Lee, Kyeong Soo Kim, Investigation of Applicability of Impact Factors to Predict Solar Irradiance: Comparative Analysis Using Machine Learning Algorithms, Applied Science, 2021, 11, 8533. https://doi.org/10.3390/app11188533. Sep. 14 2021. (SCIE, IF 2.679)
5. Xintao Huan, Kyeong Soo Kim, Sanghyuk Lee, Eng Gee Lim, and Alan Marshall, Improving Multi-Hop Time Synchronization Performance in Wireless Sensor Networks Based on Packet-Relaying Gateways with Per-Hop Delay Compensation, IEEE Transactions on Communications, Vol. 69, Issue 9, pp. 6093-6105, Sep. 2021 (SCI), http://doi:10.1109/TCOMM.2021.3092038
2020
1. Hao Lan Zhang, Sanghyuk Lee, Xingsen Li, Jing He, EEG Data Self-Adjusting Analysis Based on Optimized Sampling for Robot Control, Electronics 2020, Vol. 9, Issue 6, http://doi:10.3390/electronics9060925, June 2020, (SCIE, IF 2.412)
2. Jaehoon Cha, Kyeong Soo Kim, and Sanghyuk Lee, Hierarchical Auxiliary Learning, Machine Learning: Science and Technology. 1(4) https://doi.org/10.1088/2632-2153/aba7b3 (SCOPUS, ESCI) July 2020.
3. Ruiqin Fan, Xiaoyun Li, Sanghyuk Lee, Tongliang Li, Hao Lan Zhang, Smart Image Enhancement Using CLAHE Based on an F-Shift Transformation during Decompression, Elecronics 2020, vol. 9, issue 9, http://doi:10.3390/electronics9091374, August, 2020 (SCIE, IF 2.412)
2019
1. Eunmi Lee, Sanghyuk Lee, Kyeong Soo Kim, Van Huy Pham and Jinbae Sul, Analysis of Public Complaints to Identify Oriority Policy Area: Evidence from a Satellite City around Seoul, Sustainability, Vol. 11, Issue 21, Nov. 2019, http://doi:10.3390/su11216140 (SCIE, SSCI, IF 2.592)
2. Sanghyuk Lee, Jaehoon Cha, Moon Keun Kim, Kyeong Soo Kim, Van Huy Pham, Neural Network-Based Building Energy Consumption Prediction with Training Data Generation, Process, Vol. 7, Issue 10, October 2019 http://doi:10.3390/pr7100731 (SCIE, IF 1.963)
3. Kyeong Soo Kim, Sanghyuk Lee, Tiew On Ting, Xin-She Yang, Atomatic Scheduling of Appliance Energy Consumption in Residential Smart Grid, Energies, Vol. 12, Issue 19, September 2019 http://doi:10.3390/en12193666 (SCIE IF 2.676)
4. Xintao Huan, Kyeong Soo Kim, Sanghyuk Lee, Moon Keun Kim, Optimal Message Bundling with Delay and Synchronization Constraints in Wireless Sensor Networks, Sensors, Vol. 19, Issue 18, September 2019 http://doi:10.3390/s19184027 (SCIE, IF 3.031)
5. Moon Keun Kim, Jaehoon Cha, Eunmi Lee, Van Huy Pham, Sanghyuk Lee, Nipon Theera-Umpon, Simplified Neural Network Model Design with Sensitivity Analysis and Electricity Consumption Prediction in a Commercial Building, Energies 2019, Vol. 12, Issue 7, March 2019 doi:10.3390/en12071201 (SCIE IF 2.676)
6. Xintao Huan, Kyeong Soo Kim, Sanghyuk Lee, Eng Gee Lim, Alan Marshall, A Beaconless Asymmetric Energy-Efficient Time Synchronization Scheme for Resource-Constrained Multi-Hop Wireless Sensor Networks, IEEE Transactions on Communications, Vol. 68, Issue3, pp. 1716-1730, December 2019 10.1109/TCOMM.2019.2960344 (SCI, IF 5.69)
2018
1. PARK Keon-Woo, KIM Chul-Hwan, LEE Sang-Hyuk, RHEE Sang-Bong, New reclosing scheme of distribution system for utilization of BESS using wavelet transform, J. Cent. South Univ. January 2018 25: pp. 78−83 DOI: https://doi.org/10.1007/s11771-018-3718-7 (SCIE IF 0.973)
2. Nipon Theera-Umpon, Kun-Hee Han, Woo-Sik Bae, Sanghyuk Lee, Van Huy Pham, Verifying Secure Authentication Protocol for Communication between IoT-based Medical Devices, Journal of Universal Computer Science, vol. 24, no. 9, pp. 1258-1270, September 2018 (SCIE, IF 0.466)
3. Kyeong Soo Kim, Sanghyuk Lee, and Kaizhu Huang, A scalable deep neural network architecture for multi-building and multi-floor indoor localization based on Wi-Fi fingerprinting, Big Data Analytics , 2018 3:4 https://doi.org/10.1186/s41044-018-0031-2 Mar. 25, 2018 (SCOPUS)
4. Hongmei Wang, Chong Yao, Faguang Wang, Shiyin Li and Sanghyuk Lee, Multistandard receiver design for telemedicine monitoring system, Journal of Sensors, Volume 2018, Article ID 7501914, 8 pages https://doi.org/10.1155/2018/7501914 (SCI IF 1.704) April 2018.
5. Kyeong Soo Kim, Ruihao Wang, Zhenghang Zhong, Zikun Tan, Haowei Song, Jaehoon Cha & Sanghyuk Lee, Large-Scale Location-Aware Services in Access: Hierarchical Building/Floor Classification and Location Estimation Using Wi-Fi Fingerprinting Based on Deep Neural Networks, Fiber and Integrated Optics, Vol. 37, Issue 5, pp. 277-289, April 2018 https://doi.org/10.1080/01468030.2018.1467515 (SCIE)
2017
1. Sanghyuk Lee, Jaehoon Cha, Nipon Theera-Umpon, Kyeongsoo Kim, Analysis on Similarity Measure for Non-overlapped Data, Symmetry 2017, Vol. 9, Issue 5, doi:10.3390/sym9050068 - 9 May 2017, (SCIE IF 2.143)
2. Saeid Gholami Farkoush, Chang-Hwan Kim, Ho-Chul Jung, Sanghyuk Lee, Nipon Theera-Umpon, and Sang-Bong Rhee, Power Factor Improvement of Distribution System with EV Chargers based on SMC Method for SVC, Journal of Electrical Engineering and Technology, Vol. 12, No. 4, pp. 1340-1347, July 2017. (SCIE, IF 0.525)
3. Meijing Li, Xiuming yu, Keunho Ryu, Sanghyuk Lee, Nipon Theera-Umpon, Face recognition technology development with Gabor, PCA and SVM methodology under illumination normalization condition, Cluster Computing, March 2017, http://doi:10.1007/s10586-017-0806-7 (SCI IF 2.077)
4. Yu-Jia Zhai, Ding-Li Yu, Ke-Jun Qian, Sanghyuk Lee and Nipon Theera-Umpon, A Soft Sensor-Based Fault-Tolerant Control on the Air Fuel Ratio of Spark-Ignition Engines, Energies, January 2017, Vol. 10, Issue 1, http://doi:10.3390/en10010131 (SCIE IF 2.676)
5. Eng Gee Lim, Jingchen Wang, Gerry Juans, Zhao Wang, Mark Leach, Sanghyuk Lee, and Nipon Theera-Umpon, Design of Wearable Radio Frequency Identification Antenna, Wireless Personal Communications, Vol. 98, No. 4, pp. 3059-3070, December 2017. (SCIE, IF 0.951)
6. Eng Gee Lim, Jingchen Wang, Gerry Juans, Zhao Wang, Mark Leach, Sanghyuk Lee, and Nipon Theera-Umpon, Design of Wearable Radio Frequency Identification Antenna, Wireless Personal Communications, Vol. 98, No. 4, pp. 3059-3070, December 2017. (SCIE, IF 0.951)
2016
1. Hyeon-min Shim, Hongsub An, Sanghyuk Lee, Eung Hyuk Lee, Hong-ki Min and Sangmin Lee, EMG Pattern Classification by Split and Merge Deep Belief Network, Symmetry December 2016, Vol. 8, Issue 12, http://doi:10.3390/sym8120148 (SCIE IF 2.143)
2. Sang-Kyun Kim, Sang-Ick Kang, Young-Jin Park, Sanghyuk Lee and Sangmin Lee, Power Spectral Deviation-Based Voice Activity Detection Incorporating Teager Energy for Speech Enhancement, Symmetry, July 2016, Vol. 8, Issue 7, http://doi:10.3390/sym8070058 (SCIE IF 2.143)
3. Wang Jing-chen, Wang Zhao, Mark Leach, Lee Sanghyuk, Eng Gee Lim, Huang Yi, RF characteristics of wireless capsule endoscopy in human body, Journal of Central South University of Technology. Vol. 23, No.5, pp 1198-12-7, May 2016 (SCIE IF 0.973)
4. Sanghyuk Lee, Editorial: International Journal of Engineering and Future Technology, Issue No.1, Vol. 2, pp. 1-2, 2016.
5. Kyeongsoo Kim, Sanghyuk Lee, Enggee Lim, Energy-Efficient Time Synchronization Based on Asynchronous Source Clock Frequency Recovery and Reverse Two-Way Message Exchanges in Wireless Sensor Networks, IEEE Transactions on Communications, Vol. 65, No. 1, 347 – 359, November 2016. (SCI, IF 1.9079)
2015
1. WANG Hong-mei, KIM Jae-hyung, WANG Fa-guang, LEE Sang-hyuk, WANG Xue-song, The design of BPS digital frontend for SDR receiver, Journal of Central South University of Technology. Vol. 22, Issue 12, pp 4709 – 4716, December 2015 (SCIE IF 0.973)
2. ZHAI Yu-Jia, SUN Yan, QIAN Ke-Jun, LEE Sang-Hyuk, A Multi-Input and Multi-Output Design on Automotive Engine Management System, Journal of Central South University of Technology. Vol. 22, Issue 12, pp 4687-4692, 2015 (SCIE IF 0.973)
3. Xin-She Yang, Sanghyuk Lee, Sangmin Lee and Nipon Theera-Umpon, Information Analysis of High-Dimensional Data and Applications, Mathematical Problems in Engineering, Mathematical Problems in Engineering Volume 2015 (2015), Article ID 126740, 2 pages http://dx.doi.org/10.1155/2015/126740 (2012 SCI impact 0.762)
4. Si Chen and Sanghyuk Lee, Observer Design with Gershgorin Disc and Application to System with Unknown Input, M.S.R. Journal of Engineering and Technology Research, Vol. 3, No. 1, pp. 22-29, 2015.
5. Sanghyuk Lee, Entropy Analysis on Multiple Facts, M.S.R. Journal of Engineering and Technology Research, Vol. 2, No.2, pp. 25-26, 2015.
6. Siyang Zhou, Gunhee Han, Sanghyuk Lee, PID Autotuning methodology with heuristic approach, International Journal of Applied Engineering Research (SCOPUS), Vol. 10, No. 69, pp. 311-315, July, 2015.
7. Shuaihang Shen, Sanghyuk Lee, Sliding model control design on non-linear systems, International Journal of Applied Engineering Research (SCOPUS), Vol. 10, No. 69, pp. 316-321, July, 2015.
2014
1. Sanghyuk Lee, Wookje Park and Sikhang Jung, Fault Detection of Aircraft System with Random Forest algorithm and Similarity Measure, The Scientific World Journal, Issue, Computational Intelligence and Metaheuristic Algorithms with Applications, Vol. 2014, Article ID 727359, 7 pages, 2014. 7 (2011 SCI impact 1.73) http://dx.doi.org/10.1155/2014/727359
2. Sanghyuk Lee, Seungsoo Shin, Gait signal analysis with similarity measure, The Scientific World Journal, Issue, Computational Intelligence and Metaheuristic Algorithms with Applications, Vol. 2014, Article ID 136018, 8 pages, 2014. 7 (2011 SCI impact 1.73) http://dx.doi.org/10.1155/2014/136018
3. Sanghyuk Lee, Yan Sun, Yoonsu Jeong, Seungsoo Shin, Similarity measure design for high dimensional data, Journal of Central South University of Technology. Vol. 21, No. 9, pp. 3534-3539, 2014 (SCIE IF 0.973)
4. T.O. Ting, Su Fong Chien, Xin-She Yang, and Sanghyuk Lee, Analysis of QoS-Aware OFDMA System Considering Energy Efficiency, IET Communications, vol.8, issue 11, pp. 1947–1954, 2014 (SCI, IF 0.637)
Book Chapters:
2021
1. Youpeng Yang, Haolan Zhang, Sanghyuk Lee, EEG signal discrimination with permutation entropy, Workshop on Cutting Edge Technologies for Human-Computer Interaction (CET-HCI 2021), Lecture Notes in Computer Science, vol. 12960, pp. 519-528, Padova, Italy, September 17 2021. DOI:10.1007/978-3-030-86993-9_46 (SCOPUS, EI Comdex)
2020
1. Hao Lan Zhang, Sanghyuk Lee, and Jing He, An Optimized Self-Adjusting Model for EEG Data Analysis in Online Education Processes, International Conference on Brain Informatics 2020, Lecture Notes in Computer Science, vol. 12241, pp 338-348, Springer, 19. September 2020, DOI:10.1007/978-3-030-59277-6_31
2019
1. Haolan Zhang, Qixin Zhao, Sanghyuk Lee, and Margaret G. Dowens, EEG-based Driver Drowsiness Detection Using the Dynamic Time Dependency Method, Brain Informatics 2019, LNAI 11976, pp. 39–47, 2019. https://doi.org/10.1007/978-3-030-37078-7_5.
2008
1. Sang H. Lee, Hyunjeong Park and Wook Je Park, Similarity computation between fuzzy set and crisp set with similarity measure based on distance, Lecture Notes in Computer Science, Vol.4993, 644-649, 2008.01.
2. Sanghyuk Lee, Sangjin Kim and Dongyup Lee, Comparative Study with Fuzzy Entropy and Similarity Measure: one-to-one correspondence, Communications in Computer and Information Science, Vol. 15, 132-138, 2008.09.
3. Sanghyuk Lee, Sangjin Kim and Nam-Young Jang, Design of Fuzzy Entropy for Non-Convex Membership Function, Communications in Computer and Information Science, Vol. 15, 55-60, 2008.9.
2007
1. Wook Je Park, Sang H. Lee, Won Kyung Joo, and Jung Il Song, A Mixed Algorithm of PCA and LDA for Fault Diagnosis of Induction Motor, Lecture Notes in Computer Science 4682, pp. 934–942, 2007
2006
1. Sang-Hyuk Lee, Jang-Mok Kim and Young-Kiu Choi, Similarity measure construction using fuzzy entropy and distance measure, Lecture Notes in Artificial Intelligence, Vol. 4114, 952-958, 2006.8. (2007 SCI impact 0.402)
2. Sang-Hyuk Lee, Seong-Pyo Cheon, Yountae Kim, and Sungshin Kim, Fourier and Wavelet Transformations for the Fault Detection of Induction Motor with Stator Current, Lecture Notes in Computer Science 4114, pp. 557 – 569, 2006 (2007 SCI impact 0.402)
3. Sang-Hyuk Lee, Seong-Pyo Cheon, and Jinho Kim, Measure of Certainty with Fuzzy Entropy Function, Lecture Notes in Computer Science 4114, pp. 134 – 139, 2006 (2007 SCI impact 0.402)
2005
1. Hyeon Bae, Sungshin Kim, Yon Tae Kim, and Sang-Hyuk Lee, Application of Time-Series Data Mining for Fault Diagnosis of Induction Motors, Lecture Notes in Computer Science 3483, pp. 1085 – 1094, 2005(2007 SCI impact 0.402)
2. Sang-Hyuk Lee, Youn-Tae Kim, Seong-Pyo Cheon, and Sungshin Kim, Reliable Data Selection with Fuzzy Entropy, Lecture Notes in Computer Science 3613, pp. 203 – 212, 2005 (2007 SCI impact 0.402)