Publication trends (based on Research Studies until 2025. 07)

  Book

 

  Book chapters

 

  Patent

 

  International journal papers
  International proceedings & Presentation
  Domestic Journal papers

  Domestic proceedings
  • Adela Safitri Novrizal and Hyunsoo Lee , “Disruption-responsive stochastic programming control framework of the cement industry  ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session H7, H7.1, pp. 1-24, Jeju, June 20, 2025.    
  • Tagir Salakhov and Hyunsoo Lee , “Uncertain trajectory prediction using GAT and KAN  ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session E6, E6.2, pp. 1-24, Jeju, June 19, 2025.    
  • Jinhwan Kim and Hyunsoo Lee , “Federated learning framework using correlation-based attention mechanism in imbalanced data environment   ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session E6, E6.1, pp. 1-24, Jeju, June 19, 2025.    
  • Lutfiana Sausan and Hyunsoo Lee , “Task offloading in mobile edge computing using deep reinforce learning ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session E6, E6.4, pp. 1-24, Jeju, June 19, 2025.    
  • Adela Safitri Novizal and Hyunsoo Lee , “Disruption-based stochastic programming control framework for the cement industry ”, Proceedings of KIIS Spring Conference,Vol. 35, No. 1, pp. 99-100, Gumi, April 25, 2025.    
  • Tagir Salakhov and Hyunsoo Lee , “Stochastic trajectory prediction framework for human-driven vehicles in mixed traffic environments ”, Proceedings of KIIS Spring Conference,Vol. 35, No. 1, pp. 125-126, Gumi, April 25, 2025.    
  • Lutfiana Sausan and Hyunsoo Lee , “Quantum scheduling: Grover algorithm for graph coloring with constraints ”, Proceedings of KIIS Spring Conference,Vol. 35, No. 1, pp. 94-95, Gumi, April 25, 2025.    
  • Jinhwan Kim and Hyunsoo Lee , “Federated learning framewwork using loss-based dynamic attention mechanism ”, Proceedings of KIIS Spring Conference,Vol. 35, No. 1, pp. 34-35, Gumi, April 25, 2025.    
  • Raghda Mansouur Kamel Noureldin and Hyunsoo Lee , “Modeling and Estimation of EV Battery Thermal System Dynamics using a Physics Inspired Neural Network Approach ”, Proceedings of KIIS Spring Conference,Vol. 35, No. 1, pp. 31-32, Gumi, April 25, 2025.    
  • Raghda Mansouur Kamel Noureldin and Hyunsoo Lee , “Electric vehicle battery performance analysis and enhancement framework uusing physics-informed neuural network ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session F11, F11.4, pp. 1-24, Yeosu, May 03, 2024.    
  • Sangmin Park and Hyunsoo Lee , “Enhancing supply chain resilience using graph-based multi-stream deep learning and casual networks ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session H05, H05.1, pp. 1-24, Yeosu, May 03, 2024.    
  • Jaeuk Jang and Hyunsoo Lee , “Stochastic optimization of the hydrogen supply chain network considering progressive uncertainty and solution methodology based on scenario sampling ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session H01, H01.2, pp. 1-24, Yeosu, May 03, 2024.    
  • Jinhwan Kim and Hyunsoo Lee , “Multiple industrial edge-based federated learning framework uusing multi-stream deep learning ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session C02, C2.6, pp. 1-24, Yeosu, May 02, 2024.    
  • Eunseo Oh and Hyunsoo Lee , “Efficient path generation framework using quantuum computing-based HHL and Grover algorithm ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session A01, A1.1, pp. 1-24, Yeosu, May 02, 2024.    
  • Lutfiana Sausan and Hyunsoo Lee , “Enhanced quantum approximate algorithm for the traveling salesmand problem ”, Proceedings of KIIE Spring Conference,Vol. 1, No. 1, Session A10, A10.3, pp. 1-24, Yeosu, May 02, 2024.    
  • Hyunsoo Lee , “BWhen intelligent systems meet quantum computing  ”, Proceedings of Korean Institute of Intelligent Systems, 2024, Vol. 34, No. 1, 2024, pp. 154-156.    
  • Raghda Mansour Kamel Noureldin and Hyunsoo Lee , “Battery pack control and simulation using machine learning-based EV battery pack enhancement ”, Proceedings of Korean Institute of Intelligent Systems, 2024, Vol. 34, No. 1, 2024, pp. 212-213.    
  • Sangmin Park and Hyunsoo Lee , “A graph-based multi-stream framework for responding to dynamic supply chain changes ”, Proceedings of Korean Institute of Intelligent Systems, 2024, Vol. 34, No. 1, 2024, pp. 115-116.    
  • Jaeuk Jang and Hyunsoo Lee , “Hydrogen supply chain design considering uncertainties in hydrogen demand and renewable energy supply and sampling based modified Benders decomposition ”, Proceedings of Korean Institute of Intelligent Systems, 2024, Vol. 34, No. 1, 2024, pp. 146-147.    
  • Jinhwan Kim and Hyunsoo Lee , “Enhanced federated learning framework in distrubuted industrial environments utilizing multi-output stream deep learning ”, Proceedings of Korean Institute of Intelligent Systems, 2024, Vol. 34, No. 1, 2024, pp. 113-114.    
  • Raghda Mansour Kamel Noureldin and Hyunsoo Lee , “Enhancing EVV charging efficiency and battery longevity with multiple-steam deep learning model for Lithium iron phosphate batteries ”, Proceedings of Korean Institute of Intelligent Systems, 2023, Vol. 33, No. 2, 2023, pp. 181-182.    
  • Eisha Denise Besmonte, Ardvin Kester Ong and Hyunsoo Lee , “Deep learning-based moral theory classifier of general Ai interface ”, Proceedings of Korean Institute of Intelligent Systems, 2023, Vol. 33, No. 2, 2023, pp. 183-184.    
  • Jinhwan Kim and Hyunsoo Lee , “Multiple edge computing and federated learning framework using device-to-devvice communication ”, Proceedings of Korean Institute of Intelligent Systems, 2023, Vol. 33, No. 2, 2023, pp. 148-149.    
  • Sangmin Park and Hyunsoo Lee, “Multi-stream graph convolutional neural network-based subway congestion prediction framework ”, Proceedings of Korean Institute of Intelligent Systems, 2023, Vol. 33, No. 2, 2023, pp. 156-157.    
  • Jaeuk Jang and Hyunsoo Lee, “Hydrogen supply chain network operation framework using nonlinear multi-stage stochastic programming with wighted scenario method ”, Proceedings of Korean Institute of Intelligent Systems, 2023, Vol. 33, No. 2, 2023, pp. 185-186.    
  • Eunseo Oh and Hyunsoo Lee, “Gas turbine energy yield prediction framework using neural network based on quantum mechanics ”, Proceedings of Korean Institute of Intelligent Systems, 2023, Vol. 33, No. 2, 2023, pp. 158-159.    
  • Jinhan Kim and Hyunsoo Lee, “Federated learning framework using consensus-based averaging for multiple edge computing environment”, Proceedings of KIIE Spring Conference, Vol. 1, No. 2, Session D5, D5.1, pp. 1-24, UNIST, Ulsan, November 03, 2023
  • Junpyo Hong and Hyunsoo Lee, “Dense coding capacity projection framework of phase damping channel system ”, Proceedings of KIIE Spring Conference, Vol. 1, No. 2, Session B2, B1.4, pp. 1-24, UNIST, Ulsan, November 03, 2023
  • Sangmin Park and Hyunsoo Lee, “Subway crowdedness prediction using multi-stream hybrid deep learning ”, Proceedings of KIIE Spring Conference, Vol. 1, No. 2, Session C5, C5.4, pp. 1-24, UNIST, Ulsan, November 03, 2023
  • Raghda Mansour Kamel Noureldin and Hyunsoo Lee, “Hybrid deep learning-based dynamic demand forecasting for hotel scheduling ”, Proceedings of KIIE Spring Conference, Vol. 1, No. 2, Session B9, B9.2, pp. 1-24, UNIST, Ulsan, November 03, 2023
  • Eunseo Oh and Hyunsoo Lee, “Energy load preduction framework using deep neural network based on quantum mechanics ”, Proceedings of KIIE Spring Conference, Vol. 1, No. 2, Session B5, B5.5, pp. 1-24, UNIST, Ulsan, November 03, 2023
  • Jaeuk Jang and Hyunsoo Lee, “Stochastic programming and scenario weight sampling methodology for uncertain hydrogen supply chain network ”, Proceedings of KIIE Spring Conference, Vol. 1, No. 2, Session A2, A2.3, pp. 1-24, UNIST, Ulsan, November 03, 2023
  • Eunseo Oh and Hyunsoo Lee, “Specific energy consumption prediction framework of hydrogen liquefaction process using quantum mechanics-based neural network”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, Session G6, G6.3, pp. 1-24, Jeju Shinhwa Convention Center, Jeju, June 02, 2023
  • Sangmin Park and Hyunsoo Lee, “Graph structure analysis and classification framework using graph convolutional netrwork”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, Session H3, H3.1, pp. 1-24, Jeju Shinhwa Convention Center, Jeju, June 02, 2023
  • Jaeuk Jang and Hyunsoo Lee, “Overlapped Nanoparticle Identification framework based on convolutional neural networks and center-to-edge distance graph analysis”, Proceedings of KIIE Spring Conference, Session G9, G9.2, Vol. 1, No. 1, pp. 1-24, Jeju Shinhwa Convention Center, Jeju, June 02, 2023
  • Eunseo Oh and Hyunsoo Lee, “Defect Prediction Framework in Semiconductor Processes based on Quantum Mechanics”, Proceedings of KIIS Spring Conference, Vol. 33, No. 1, pp. 231-232, Jeju National University, Jeju, April 15, 2023
  • Sangmin Park and Hyunsoo Lee, “Unconnected and Acyclic Graph Reasoning Framework using Graph Convolutional Network”, Proceedings of KIIS Spring Conference, Vol. 33, No. 1, pp. 101-102, Jeju National University, Jeju, April 15, 2023
  • Jaeuk Jang and Hyunsoo Lee, “Overlapped Nanoparticle Structure Estimation Framework using Graph Analysis based on Convolutional Neural Networks”, Proceedings of KIIS Spring Conference, Vol. 33, No. 1, pp. 103-104, Jeju National University, Jeju, April 15, 2023
  • Maryam Kairunissa and Hyunsoo Lee, “Disrupted Supply Chain Planning considering Multiple Stage Stochastic Scenarios”, Proceedings of KIIE Fall Conference, Vol. 1, No. 1, Session A8, A8.3, pp. 1-24, Incheon, November 04, 2022
  • Eunseo Oh and Hyunsoo Lee, “Fault Detection Framework of Hydraulic System using Quantum Mechanics-based Stochastic Process”, Proceedings of KIIE Fall Conference, Vol. 1, No. 1, Session A5, A5.4, pp. 1-24, Incheon, November 04, 2022
  • Maryam Kairunissa and Hyunsoo Lee, “Dynamic Network Control considering Multi-resources Supply Chain and Uncertain Disaster Scenarios”, Proceedings of KIIS Fall Conference, Vol. 32, No. 2, Session Intelligent Control II, pp. 1-2, Mokpo National Maritime University,Mokpo, October 28, 2022
  • Ahtehsam Bakht and Hyunsoo Lee, “Transfer- learning-based Forcasting Framework for Particle Matter considering Temporal Resolution”, Proceedings of KIIS Fall Conference, Vol. 32, No. 2, Session Machine Learning II, pp. 1-2, Mokpo National Maritime University,Mokpo, October 28, 2022
  • Sangmin Park and Hyunsoo Lee, “Research Trend Analysis of Graph Neural Network and Application”, Proceedings of KIIS Fall Conference, Vol. 32, No. 2, Session Machine Learning II, pp. 1-2, Mokpo National Maritime University,Mokpo, October 28, 2022
  • Jaeuk Jeong and Hyunsoo Lee, “Spartial Graph-based Three Dimensional Nanoparticle Structure Analysis Framework using Autoencoder”, Proceedings of KIIS Fall Conference, Vol. 32, No. 2, Session Deep Learning II, pp. 1-2, Mokpo National Maritime University,Mokpo, October 28, 2022
  • Eunseo Oh and Hyunsoo Lee, “Quantum Mechanics-based Fault Prediction Framework of Hydraulic System”, Proceedings of KIIS Fall Conference, Vol. 32, No. 2, Session Machine Learning II, pp. 1-2, Mokpo National Maritime University,Mokpo, October 28, 2022
  • Sangmin Park and Hyunsoo Lee, “Effective Route Generation Framework using Ant Colony Optimization in Dynamic Network Topology”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, Session E7, E7.3, pp. 1-24, Jeju, June 03, 2022
  • Hyunsoo Lee, “Industring Engineering Sustainability Analysis focusing on Program modifications and Affiliated Professors ”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, Session F2, F2.4, pp. 1-24, Jeju, June 03, 2022
  • Jaeuk Jang and Hyunsoo Lee, “Manufacturing Fault Detection and Classification Framework using Mixed Pooling-based Convolutional Neural Network”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, Session B9, B9.5, pp. 1-24, Jeju, June 02, 2022
  • Ahtesham Bakht and Hyunsoo Lee, “Deep Learning-based Forecasting of Particulate Matter at Indoor Subway Station Platform”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, Session B9, B9.4, pp. 1-24, Jeju, June 02, 2022
  • Maryam Khairunissa and Hyunsoo Lee, “Deep Learning Analysis and Comparison for Perishable Food Freshness-based Cold Chain Supply Chain ”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, Session B9, B9.3, pp. 1-24, Jeju, June 02, 2022
  • Eunseo Oh and Hyunsoo Lee, “Missing Value Estimation Framework using Quantum Mechanics”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, Session A3, A3.5, pp. 1-24, Jeju, June 02, 2022
  • Eunseo Oh and Hyunsoo Lee, “Missing Value Estimation Framework using Quantum Mechanics-based Generative Adversarial Networks”, Proceedings of KIIS Spring Conference, Vol. 32, No. 1, pp. 291-292,  Hankyong National Univ., Gyeonggi, May 14, 2022
  • Ahtesham Bakht and Hyunsoo Lee, “Indoor Air Quality Prediction Framework of Train Station using Hybrid Deep Learning”, Proceedings of KIIS Spring Conference, Vol. 32, No. 1, pp. 293-294,  Hankyong National Univ., Gyeonggi, May 14, 2022
  • Maryam Khairunissa and Hyunsoo Lee, “Deep Learning-based Persishable Food Freshness Prediction”, Proceedings of KIIS Spring Conference, Vol. 32, No. 1, pp. 251-252,  Hankyong National Univ., Gyeonggi, May 14, 2022
  • Maryam Khairunissa and Hyunsoo Lee, “Deep Learning-based Electron Microsopic Image Analysis of Nanoparticles”, Proceedings of KIIS Fall Conference, Vol. 31, No. 2, pp. 201-202,  Chosun Univ., Gwangju, November 20, 2021
  • Ahtesham Bakht and Hyunsoo Lee, “Hybrid Multi-stream Deep Learning-based Nutrient Estimation in Biological Wastewater Treatment”, Proceedings of KIIS Fall Conference, Vol. 31, No. 2, pp. 3-4,  Chosun Univ., Gwangju, November 20, 2021
  • Eunseo Oh and Hyunsoo Lee, “Efficient Route Generation Framework using Quantum Mechanics-based Meta Heuristics”, Proceedings of KIIS Fall Conference, Vol. 31, No. 2, pp. 215-216,  Chosun Univ., Gwangju, November 20, 2021
  • Eunseo Oh and Hyunsoo Lee, “Quantum Mechanism-based Network Route Generation Framework using Multidirectional Parallel Ant Colony Algorithm”, Proceedings of KIIE Fall Conference, Vol. 1, No. 1, Session C7, pp. 1-24,  Dongkuk Univ., Seoul, November 12, 2021
  • Ahtesham Bakht and Hyunsoo Lee, “Soft Sensor based Hybrid Multi-Stream Deep Learning Framework for Biological Wastewater Treatment Process”, Proceedings of KIIE Fall Conference, Vol. 1, No. 1, Session C3, pp. 25-48,  Dongkuk Univ., Seoul, November 12, 2021
  • Maryam Khairunissa and Hyunsoo Lee, “Deep Learning for Electron Microscopic Image Analysis of Nanoparticles using Convolution Neural Net”, Proceedings of KIIE Fall Conference, Vol. 1, No. 1, Session C3, pp. 1-24,  Dongkuk Univ., Seoul, November 12, 2021
  • Rahmawati and Hyunsoo Lee, “Crack Analysis on the Wings of Airplane using Convolutional Encoder/Decoder Framework”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, pp. 3855-3877,  Jeju, June 4, 2021
  • Eunseo Oh and Hyunsoo Lee, “Missing Value Estimation of Air Pressure System using Support Vector Regression-based Generative Adversarial Network”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, pp. 3831-3854,  Jeju, June 4, 2021
  • Maryam Khairunissa and Hyunsoo Lee, “Diagnostics of COVID-19 Infection Degree using Deep Learning based Two-path Model and Fintness Wearable Device”, Proceedings of KIIS Spring Conference, Vol. 31, No. 1, pp. 159-160,  Seoul, April 24, 2021
  • Ahtesham Bakht and Hyunsoo Lee, “Deep Learning based Defect Detection and Classification on Metallic Surface considering Characteristics of the Object”, Proceedings of KIIS Spring Conference, Vol. 31, No. 1, pp. 45-46,  Seoul, April 24, 2021
  • Eunseo Oh and Hyunsoo Lee, “Estimation of Missing Values of Air Pressure System using Nonlinear Regression-based Generative Adversarial Network”, Proceedings of KIIS Fall Conference, Vol. 30, No. 2, pp. 34-35,  Jeonju, November 28, 2020
  • Firda Rahmadani and Hyunsoo Lee, “Forecast COVID-19 Transmission using Deep Learning based Meta-population Model ”, Proceedings of KIIS Fall Conference, Vol. 30, No. 2, pp. 166-167,  Jeonuu, November 28, 2020
  • Eunseo Oh  and Hyunsoo Lee, “Estimation of Missing Values of Air Pressure System using Nonlinear Regression”, Proceedings of KIIS Spring Conference, Vol. 30, No. 1, pp. 23-24,  Seoul, June 27, 2020
  • Youngki Jo  and Hyunsoo Lee, “Electricity Demand Pattern Classification using Gaussian Mixture Model-based Cluster Analysis”, Proceedings of KIIS Spring Conference, Vol. 30, No. 1, pp. 25-26,  Seoul, June 27, 2020
  • Firda Rahmadani  and Hyunsoo Lee, “Multiple-layered Network for Modeling Transmission of COVID-19 Outbreak”, Proceedings of KIIS Spring Conference, Vol. 30, No. 1, pp. 37-38,  Seoul, June 27, 2020
  • Firda Rahmadani and Hyunsoo Lee, “Compartment Modeling and Classification of Viral Hepatitis A's Infection using Nonlinear Support Vector Machine”, Proceedings of KIIS Autumn Conference, Vol. 29, No. 2, pp. 87-88,  Busan, November 02, 2019
  • Firda Rahmadani, Youngki Jo and Hyunsoo Lee, “A Study on the Implementation and Framework of 5G based Smart Factory”, Proceedings of KICS Summer Conference, Vol. 1, No. 1, pp. 17-18,  Jeju, June 19, 2019
  • Saleh Saif, Firda Rahmandani and Hyunsoo Lee, “Simulation and Control using Cyber Physical System Framework with Robotic Arm and Simulation Analytics”, Proceedings of KIIS Spring Conference, Vol. 29, No. 1, pp. 131-133,  Chengjoo, April 27, 2019
  • Eunseo Oh and Hyunsoo Lee, “Efficient Escape Route Generation Framework using Nonlinear Regression based-Multi-directional and Parallel Ant Colony Optimization”, Proceedings of KIIS Spring Conference, Vol. 29, No. 1, pp. 134-135,  Chengjoo, April 27, 2019
  • Youngki Jo and Hyunsoo Lee, “Sensitivity Analysis of Electricity Demand Forecasting using Recurrent Neural Network”, Proceedings of KIIS Spring Conference, Vol. 29, No. 1, pp. 136-138,  Chengjoo, April 27, 2019
  • Jinbae Kim and Hyunsoo Lee, “Deep Learning-based CPS for Precise Control of Smart Factory Process Intelligence Robots”, Proceedings of KIIS Spring Conference, Vol. 29, No. 1, pp. 138-139,  Chengjoo, April 27, 2019
  • Eunseo Oh and Hyunsoo Lee, “Efficient Moving Route Generation of Driver Framework using Multi-Directional and Parallel Ant Colony Optimization on a Road with a Dynamical Environment”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, pp. 2347-2370,  Gwangjoo, April 12, 2018
  • Youngki Jo and Hyunsoo Lee, “Predictive Sensitivity Analysis by Predicting and Normalization of Activity State Through Recurrent Neural Network”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, pp. 347-365,  Gwangjoo, April 11, 2019
  • Jinbae Kim and Hyunsoo Lee, “Deep Learning-based CPS Implementation for Threshold Control Management of Semiconductor Chip Mounting Process”, Proceedings of KIIE Spring Conference, Vol. 1, No. 1, pp. 455-473,  Gwangjoo, April 11, 2019
  • Youngki Jo, Daesun Yoo and Hyunsoo Lee, “Optimization of Deep Convolutional Neural Networks using Adaptive Dropout”, Proceedings of KIIS Fall Conference, Vol. 28, No. 3, pp. 29-30,  Wonju, October 27, 2018
  • Jinbae Kim, Saleh Saker Abdulla Ali Saif and Hyunsoo Lee, “Pattern Recognition and Classifier Design of Bio-Signals collected in HAli”, Proceedings of KIIS Fall Conference, Vol. 28, No. 3, pp. 9-10,  Wonju, October 27, 2018
  • Eunseo Oh, Heesoo Kim and Hyunsoo Lee, “Efficient Traffic Route Generation Framework using Multi-directional and Parallel Ant Colony Algorithm considering Dynamic Traffic Environment”, Proceedings of KIIS Fall Conference, Vol. 28, No. 3, pp. 7-8,  Wonju, October 27, 2018
  • Eunseo Oh and Hyunsoo Lee, “Framework of Escape Routing Generation using Multi-directional and Parallel Ant Colony Optimization in Emergency”, Proceedings of KIIS Spring Conference, Vol. 28, No. 1, pp. 17-18,  Seoul, April 21, 2018
  • Eunseo Oh, Heesoo Kim and Hyunsoo Lee, “Framework of Guide Route Estimation for Mobile Robot using Distributed Ant Colony Optimization Algorithms in an Emergency Situation ”, Proceedings of KIIE Spring Conference, pp. 1-24,  Kyungju, Korea, April 06, 2018
  • Youngki Jo, Daesun Yoo and Hyunsoo Lee, “Real-time Yield Optimization Framework Development in Smart Factory with Deep Neural Network ”, Proceedings of KIIE Spring Conference, pp. 1-24,  Kyungju, Korea, April 05, 2018
  • Jinbae Kim, Andrade Garcia Diego Fernando, Taesung Kim and Hyunsoo Lee, “Stochastic Optimization Framework for Cyber Physical Production System ”, Proceedings of KIIE Spring Conference, pp. 1-24,  Kyungju, Korea, April 05, 2018
  • Daesung Yoo and Hyunsoo Lee, “Pricing Model and Scheduling for Consumer's Voluntary PAR Reduction in Smart Grid ”, Proceedings of KIIS Fall Conference, pp. 95-96, Jeonnam National University, Yeosu, Korea, November 25, 2017
  • Jinbae Kim and Hyunsoo Lee, “Framework and Development of Nonlinear SVM with Nonlinear Membership Function based Type II Fuzzy Set ”, Proceedings of KIIS Fall Conference, pp. 121-122, Jeonnam National University, Yeosu, Korea, November 25, 2017
  • Jinbae Kim and Hyunsoo Lee, “Framework and Development of Gaussian Kernel based Nonlinear Support Vector Machine with Type II Fuzzy Number ”, Proceedings of KIIS Spring Conference, pp. 57-58, Jeju University, Jeju, Korea, April 15, 2017
  • Taesung Kim, Huisu Kim and Hyunsoo Lee, “Embedded System Framework for Device-to-Device Wireless Communication considering Smart Factory ”, Proceedings of KIIS Spring Conference, pp. 63-64, Jeju University, Jeju, Korea, April 15, 2017
  • Sanghyun Choo and Hyunsoo Lee, “Performance Evaluation and Characteristics Analyses of Ensemble Machine Combining Deep Belief Learning and General Types of Neural Network ”, Proceedings of KIIS Autumn Conference, pp. 176-177, Yonsei University, Seoul, Korea, Oct 29, 2016
  • Sanghyun Choo and Hyunsoo Lee,“Economic Trend Prediction and Belief Quantization using Deep Learning and Control Line”, Proceedings of 2016 the Spring Conference on Korea Institute of Industrial Engineering, pp. 1018-1041, Jeju, Korea, April 14, 2016. 
  • Junkyu Kim and Hyunsoo Lee, “Evacuation Modeling and Route Generation of Human Crowd using Spatial Evacuation Simulation in Emergency Situations”, Proceedings of 2016 the Spring Conference on Korea Institute of Industrial Engineering, pp. 618-641, Jeju, Korea, April 14, 2016. 
  • Sanghyun Choo and Hyunsoo Lee, “Stock Price Prediction and Investment Strategy based on Deep Learning ”, Proceedings of 2016 the Spring Conference on Korea Institute of Intelligent Systems, pp. 11-12, Bundang, Korea, April 09, 2016. 
  • Junkyu Kim and Hyunsoo Lee, “Pedestrians' Evacuation Route Modeling and Framework using Intelligent Scoring Algorithm in Emergency Situation ”, Proceedings of 2016 the Spring Conference on Korea Institute of Intelligent Systems, pp. 53-54, Bundang, Korea, April 09, 2016. 
  • Sanghyun Choo and Hyunsoo Lee, “Relationship Modelling and Analysis between Hidden Layers with Different Hidden Nodes using Supervised Learning Method ”, Proceedings of 2015 the Fall Conference on Korea Institute of Industrial Engineering, pp. 1223-1246,Seoul, Korea, November 7, 2015. 
  • Sanghyun Choo and Hyunsoo Lee, “Framework and Analysis of Human Activity Monitorin System using Class RBM”, Proceedings of 2015 the Fall Conference on Korea Institute of Intelligent Systems, pp.27-28, Choongju, Korea, October 17, 2015. 
  • Hyunsoo Lee, “Modeling and Analysis of Type II Fuzzy Number Embedded TSP Problem using Self-Organizing Map”, Proceedings of 2015 the Spring Conference on Korea Institute of Intelligent Systems, pp. 57-58, Ansan, Korea, April 25, 2015. 
  • Sulki Kang and Hyunsoo Lee, “Dynamic Modeling and Analysis of Sustainable Supply Chain Network considering Social Cost of Carbon and Demand Uncertainties”, Proceedings of 2014 the Fall Conference on Korea Institute of Industrial Engineering, pp. 2654-2677, Busan, Korea, November 22, 2014. 
  • Sulki Kang and HyunsooLee, “ Clustering and Logistics Design with Ambiguity Type Uncertainty using Fuzzy Self-Organizing Map”, Proceedings of 2014 the Spring Conference on Korea Institute of Industrial Engineering, pp. 1685-1696, Busan, Korea, May 17, 2014. 
  • Jinbae Kim and Hyunsoo Lee, “ Framework and Analysis of Nonlinear Closed-loop SCM Incorporating Remanufacturing Process”, Proceedings of 2014 the Spring Conference on Korea Institute of Industrial Engineering, pp. 82-93, Busan, Korea, May 16, 2014. 
  • Jinbae Kim and Hyunsoo Lee, “ Forecasting and Analysis of Supply Chain Demand Considering Multivariable Inference Parameters' Dependency Structure”, Proceedings of 2013 the Fall Conference on Korea Institute of Industrial Engineering, pp 211-222, Suwon, Korea, November 15, 2013. 
  • Hyunsoo Lee and Sangho Kim, “ Inappropriate Neck Posture Detection and Posture Period-based Early-Warning System Development using Smart Device”, Proceedings of 2013 the Fall Conference on Korea Institute of Industrial Engineering, pp 519-530, Suwon, Korea, November 15, 2013. 
  • Hyunsoo Lee and Taesung Kim, “ Design and Analysis of Process Batch Model using Bayesian Network based Multi Objective Nonlinear Programming”, Proceedings of 2013 the Spring Joint Conference on KOMS and KIIE, pp 219-230, Yeosu, Korea, May 24-25, 2013. 
  • Hyunsoo Lee, Jinbae Kim and Hongsuk Park, “ New Product Development and Evaluation using Design Compatibility Framework and Time Series Analysis”, Proceedings of 2013 the Ergonomics Society of Korea Conference, pp 1-6, Ulsan, Korea, May 23-24, 2013. 
  • Hyunsoo Lee and Sangho Kim, “ Design and Evaluation of Hand Gestures for Contactless Numeral Communication between Human and Device with Stereovision”, Proceedings of 2012 the Ergonomics Society of Korea Conference, pp 1-6, Pyungchang, Korea, November 1-2, 2012. 
  • S.H. Suh, J.H. Cho, D.H. Chung, B.E. Lee, S.U. Cheon, H.S. Lee and H.D. Hong, “Korea STEP-NC: An integrated STEP-compliant CNC system employing STEP-based information model (ISO 14649)”, Proceedings of 2002 CAD/CAM Conference, pp113-120, Seoul, Korea, Jan 30, 2002.