On-Line Detection of Errors in Homogeneous Multiprocessor Systems. - Jung Hwan Kim (RTSS, 1986)

A novel reconfiguration scheme for 2-D processor arrays. - Phill-Kyu Rhee; Jung Hwan Kim; Hee Yong Youn (ICCAD, 1989)

On the Design of Fault-Tolerant Two-Dimensional Systolic Arrays for Yield Enhancement. - Jung Hwan Kim; Sudhakar M. Reddy (IEEE Trans. Computers, 1989)

A Parallel Reconfiguration Algorithm for WSI/VLSI Processor Arrays. - Jung Hwan Kim; Phill-Kyu Rhee (ICPP (1), 1991)

A resource-efficient reconfiguration algorithm of VLSI 2-D processor arrays. - Jung Hwan Kim; Phill-Kyu Rhee (J. VLSI Signal Process., 1992)

Complete Tests in Algorithm-Based Fault-Tolerant Matrix Operations on Processor Arrays. - Dah-Yea Wei; Jung Hwan Kim; T. R. N. Rao (DFT, 1993)

The Rule-Based Approach to Reconfiguration of 2-D Processor Arrays. - Jung Hwan Kim; Phill-Kyu Rhee (IEEE Trans. Computers, 1993)

Roundoff Error-Free Tests in Algorithm-Based Fault Tolerant Matrix Operations on 2-D Processor Arrays. - Dah-Yea Wei; Jung Hwan Kim; T. R. N. Rao (DFT, 1994)

Live neural network formations on electronic chips. - Harold Szu; Jung Hwan Kim; Insook Kim (Neurocomputing, 1994)

Synthesis of three-layer threshold networks. - Jung Hwan Kim; Hyunseo Oh; Sung-Kwon Park; Youngnam Han (Algorithms and Architectures, 1998)

Fault-tolerant self-organizing map implemented by wafer-scale integration. - Moritoshi Yasunaga; I. Hachiya; K. Moki; Jung Hwan Kim (IEEE Trans. Very Large Scale Integr. Syst., 1998)

Parallel self-organization map using multiple stimuli. - Moritoshi Yasunaga; Kenichi Tominaga; Jung Hwan Kim (IJCNN, 1999)

A High Speed and High Fault Tolerant Reconfigurable Reasoning System: Toward a Wafer Scale Reconfigurable Reasoning LSI. - Moritoshi Yasunaga; Ikuo Yoshihara; Jung Hwan Kim (DFT, 2000)

Kernel-Based Pattern Recognition Hardware: Its Design Methodology Using Evolved Truth Tables. - Moritoshi Yasunaga; Taro Nakamura; Jung Hwan Kim; Ikuo Yoshihara (Evolvable Hardware, 2000)

The application of genetic algorithms to the design of reconfigurable reasoning VLSI chips. - Moritoshi Yasunaga; Jung Hwan Kim; Ikuo Yoshihara (FPGA, 2000)

Genetic Elevator Group Control. - Jung Hwan Kim; Byung Ro Moon (GECCO, 2000)

Kernel Optimization in Pattern Recognition Using a Genetic Algorithm. - Moritoshi Yasunaga; Taro Nakamura; Ikuo Yoshihara; Jung Hwan Kim (GECCO, 2000)

Genetic Algorithm-Based Methodology for Pattern Recognition Hardware. - Moritoshi Yasunaga; Taro Nakamura; Ikuo Yoshihara; Jung Hwan Kim (ICES, 2000)

Optimal trajectory planning and sliding mode control for robots using evolution strategy. - Young-Kiu Choi; Jin-Hyun Park; Hyun-Sik Kim; Jung Hwan Kim (Robotica, 2000)

Performance of smart antennas with adaptive combining at handsets for the 3GPP W-CDMA system. - Suk Won Kim; Dong Sam Ha; Jeong Ho Kim; Jung Hwan Kim (VTC Fall, 2001)

Evolvable Reasoning Hardware: Its Prototyping and Performance Evaluation. - Moritoshi Yasunaga; Jung Hwan Kim; Ikuo Yoshihara (Genet. Program. Evolvable Mach., 2001)

Robust noncoherent PN-code acquisition for CDMA communication systems. - Jung Hwan Kim; Shanuj V. Sarin; Moritoshi Yasunaga; Hyunseo Oh (IEEE Trans. Veh. Technol., 2001)

Neuron Reordering For Better Neuro-genetic Hybrids. - Jung Hwan Kim; Byung Ro Moon (GECCO, 2002)

The design of segmental-transmission-line for high-speed digital signals using genetic algorithms. - Moritoshi Yasunaga; Ikuo Yoshihara; Jung Hwan Kim (IEEE Congress on Evolutionary Computation, 2003)

New Usage of SOM for Genetic Algorithms. - Jung Hwan Kim; Byung Ro Moon (GECCO, 2003)

Gene Finding Using Evolvable Reasoning Hardware. - Moritoshi Yasunaga; Ikuo Yoshihara; Jung Hwan Kim (ICES, 2003)

A computational approach to detect regulatory elements in Dictyostelium discoideum. - Daekwan Seo; Moritoshi Yasunaga; Jung Hwan Kim (IEEE Congress on Evolutionary Computation, 2004)

Neural Network Normalization for Genetic Search. - Jung Hwan Kim; Sung-Soon Choi; Byung Ro Moon (GECCO (2), 2004)

Finding transcriptional regulatory elements in Dictyostelium gene expression. - Daekwan Seo; Moritoshi Yasunaga; Insook Kim; Byungwoon Ham; Jung Hwan Kim (Congress on Evolutionary Computation, 2005)

Normalization for neural network in genetic search. - Jung Hwan Kim; Sung-Soon Choi; Byung Ro Moon (GECCO, 2005)

The Segmental-Transmission-Line: Its Design and Prototype Evaluation. - Moritoshi Yasunaga; Yoshiki Yamaguchi; Hiroshi Nakayama; Ikuo Yoshihara; Naoki Koizumi; Jung Hwan Kim (ICES, 2008)

QoS and channel aware packet bundling for VoIP traffic in cellular networks. - Jung Hwan Kim; Baek-Young Choi; Cory C. Beard (ITC, 2009)

A new methodology for measuring coastline recession using buffering and non-linear least squares estimation. - Joon Heo; Jung Hwan Kim; Jin Woo Kim (Int. J. Geogr. Inf. Sci., 2009)

A voxelized model of direct infusion into the corpus callosum and hippocampus of the rat brain: model development and parameter analysis. - Jung Hwan Kim; Thomas H. Mareci; Malisa Sarntinoranont (Medical Biol. Eng. Comput., 2010)

QoS and Channel-Aware Packet Bundling for Capacity Improvement in Cellular Networks. - Baek-Young Choi; Jung Hwan Kim; Cory C. Beard (IEEE Trans. Veh. Technol., 2010)

Computational modeling of the transient hemodynamic response in cerebral cortex. - Jung Hwan Kim; Reswanul K. Khan; David Ress (EMBC, 2012)

Simple Signed-Distance Function Depth Calculation Applied to Measurement of the fMRI BOLD Hemodynamic Response Function in Human Visual Cortex. - Jung Hwan Kim; Amanda Taylor; David Ress (CompIMAGE, 2016)

Arterial impulse model for the BOLD response to brief neural activation. - Jung Hwan Kim; David Ress (NeuroImage, 2016)

Polar-angle representation of saccadic eye movements in human superior colliculus. - Ricky R. Savjani; Sucharit Katyal; Elizabeth Halfen; Jung Hwan Kim; David Ress (NeuroImage, 2018)

Characterization of the hemodynamic response function across the majority of human cerebral cortex. - Amanda Taylor; Jung Hwan Kim; David Ress (NeuroImage, 2018)

Data Breach Risks and Resolutions: A Literature Synthesis. - Freeha S. Khan; Jung Hwan Kim; Robin L. Moore; Lars Mathiassen (AMCIS, 2019)

Biosignal-Based Attention Monitoring to Support Nuclear Operator Safety-Relevant Tasks. - Jung Hwan Kim; Chul Min Kim; Eun-Soo Jung; Man-Sung Yim (Frontiers Comput. Neurosci., 2020)

An Investigation of Insider Threat Mitigation Based on EEG Signal Classification. - Jung Hwan Kim; Chul Min Kim; Man-Sung Yim (Sensors, 2020)

Feature Vector Extraction Technique for Facial Emotion Recognition Using Facial Landmarks. - Alwin Poulose; Jung Hwan Kim; Dong Seog Han (ICTC, 2021)

Foreground Extraction Based Facial Emotion Recognition Using Deep Learning Xception Model. - Alwin Poulose; Chinthala Sreya Reddy; Jung Hwan Kim; Dong Seog Han (ICUFN, 2021)

Development of an Information Security-Enforced EEG-Based Nuclear Operators' Fitness for Duty Classification System. - Jung Hwan Kim; Younggeol Cho; Young A. Suh; Man-Sung Yim (IEEE Access, 2021)

DATA BREACH MANAGEMENT: AN INTEGRATED RISK MODEL. - Freeha S. Khan; Jung Hwan Kim; Lars Mathiassen; Robin L. Moore (Inf. Manag., 2021)

The Extensive Usage of the Facial Image Threshing Machine for Facial Emotion Recognition Performance. - Jung Hwan Kim; Alwin Poulose; Dong Seog Han (Sensors, 2021)

Pig Treatment Classification on Thermal Image Data using Deep Learning. - Savina Jassica Colaco; Jung Hwan Kim; Alwin Poulose; Zutphen Sanne Van; Suresh Neethirajan; Dong Seog Han (ICUFN, 2022)

Dilated Causal Convolution Based Human Activity Recognition Using Voxelized Point Cloud Radar Data. - Samuel Kakuba; Savina Jassica Colaco; Jung Hwan Kim; Dong-Gyu Lee; Youngjin Yoon; Dong Seog Han (ICAIIC, 2024)

Validating Time Serial Images for Emotion Recognition. - Jung Hwan Kim; Dong Seog Han (ICAIIC, 2024)

CVGG-19: Customized Visual Geometry Group Deep Learning Architecture for Facial Emotion Recognition. - Jung Hwan Kim; Alwin Poulose; Dong Seog Han (IEEE Access, 2024)