Learning on demand-a hybrid synchronous/asynchronous approach. - Haniph A. Latchman; Christophe Salzmann; Denis Gillet; Jongmyon Kim (IEEE Trans. Educ., 2001)

Impulse noise removal on an embedded, low memory SIMD processor. - Jongmyon Kim; Soojung Ryu; Antonio Gentile; Linda M. Wills; D. Scott Wills (DSP, 2002)

Quantized color instruction set for media-on-demand applications. - Jongmyon Kim; D. Scott Wills (ICME, 2003)

Fast Color Image Processing Using Quantized Color Instruction Set. - Jongmyon Kim; Santithorn Bunchua; D. Scott Wills (ITCC, 2003)

Efficient Processing of Color Image Sequences Using a Color-Aware Instruction Set on Mobile Systems. - Jongmyon Kim; D. Scott Wills (ASAP, 2004)

Architectural Enhancements for Color Image and Video Processing on Embedded Systems. - Jongmyon Kim; D. Scott Wills; Linda M. Wills (Asia-Pacific Computer Systems Architecture Conference, 2005)

Determining Optimal Grain Size for Efficient Vector Processing on SIMD Image Processing Architectures. - Jongmyon Kim; D. Scott Wills; Linda M. Wills (Asia-Pacific Computer Systems Architecture Conference, 2005)

Implementing and Evaluating Color-Aware Instruction Set for Low-Memory, Embedded Video Processing in Data Parallel Architectures. - Jongmyon Kim; D. Scott Wills; Linda M. Wills (EUC, 2005)

Effective detection and elimination of impulse noise for reliable 4: 2: 0 YCbCr signals prior to compression encoding. - Jongmyon Kim; Linda M. Wills; D. Scott Wills (ICASSP (2), 2005)

Architectural Enhancements for Color Image and Video Processing on Embedded Systems. - Jongmyon Kim (2005)

The Impact of Multimedia Extensions for Multimedia Applications on Mobile Computing Systems. - Jong-Myon Kim (APCHI, 2008)

Loop Detection for Energy-Aware High Performance Embedded Processors. - Nara Yang; Gilsang Yoon; Jeonghwan Lee; Intae Hwang; Cheol Hong Kim; Jong-Myon Kim (APSCC, 2008)

A New Parallel Approach to Fuzzy Clustering for Medical Image Segmentation. - Hyunh Van Luong; Jong-Myon Kim (ISVC (1), 2008)

A generalized spatial fuzzy c-means algorithm for medical image segmentation. - Huynh Van Luong; Jong-Myon Kim (FUZZ-IEEE, 2009)

A Massively Parallel Approach to Affine Transformataion in Medical Image Registration. - Hyunh Van Luong; Jong-Myon Kim (HPCC, 2009)

Synthesis of Bowhead Whale Sound Using Modified Spectral Modeling. - Pranab Kumar Dhar; Sangjin Cho; Jong-Myon Kim (ICIC (1), 2009)

Real-Time Sound Synthesis of Plucked String Instruments Using a Data Parallel Architecture. - Hyunh Van Luong; Sangjin Cho; Jong-Myon Kim; Uipil Chong (ICIC (1), 2009)

Parallel Approach to Fuzzy Vector Quantization for Image Compression. - Huynh Van Luong; Yongmin Kim; Byung-Kook Kim; Jong-Myon Kim; Cheol Hong Kim (SNPD, 2009)

Thermal-aware Duplicated Filter Cache for Improving Processor Reliability. - Hong Jun Choi; Young Jin Park; Seung Gu Kang; Cheol Hong Kim; Sung Woo Chung; Jong-Myon Kim; Dongseop Kwon (CDES, 2010)

Performance Evaluation of Multimedia Extensions on Variable Many-Core Processors. - Jong-Myon Kim; Yongmin Kim; Cheol Hong Kim (CDES, 2010)

Energy-aware Filter Cache Architecture for Multicore Processors. - Young Jin Park; Hong Jun Choi; Cheol Hong Kim; Jong-Myon Kim (DELTA, 2010)

Robust Audio Watermarking Scheme Based on Deterministic Plus Stochastic Model. - Pranab Kumar Dhar; Cheol Hong Kim; Jong-Myon Kim (FGIT-SecTech/DRBC, 2010)

An Efficient Audio Watermarking Algorithm in Frequency Domain for Copyright Protection. - Pranab Kumar Dhar; Mohammad Ibrahim Khan; Cheol Hong Kim; Jong-Myon Kim (FGIT-SecTech/DRBC, 2010)

Impact of Multimedia Extensions for Different Processing Element Granularities on an Embedded Imaging System. - Jong-Myon Kim (ICA3PP (1), 2010)

Direction Integrated Genetic Algorithm for Motion Estimation in H.264/AVC. - Linh Tran Ho; Jong-Myon Kim (ICIC (2), 2010)

Energy-aware instruction cache design using small trace cache. - Jong-Myon Kim; Sung Woo Chung; Cheol Hong Kim (IET Comput. Digit. Tech., 2010)

Complexity Adaptive Branch Predictor for Thermal-Aware 3D Multi-core Processors. - Jin Woo Ahn; Dong Oh Son; Hyung Gyu Jeon; Jong-Myon Kim; Cheol Hong Kim (FGIT-CA/CES3, 2011)

Robust Audio Watermarking Scheme Based on Short Time Fourier Transformation and Singular Value Decomposition. - Pranab Kumar Dhar; Mohammad Ibrahim Khan; Sunil Dhar; Jong-Myon Kim (FGIT-SecTech, 2011)

Enhanced Edge Localization and Gradient Directional Masking for Moving Object Detection. - Pranab Kumar Dhar; Mohammad Ibrahim Khan; D. M. H. Hasan; Jong-Myon Kim (FGIT-SIP, 2011)

Thermal-Aware Floorplan Schemes for Reliable 3D Multi-core Processors. - Dong Oh Son; Young Jin Park; Jin Woo Ahn; Jaehyung Park; Jong-Myon Kim; Cheol Hong Kim (ICCSA (2), 2011)

Implementation of High-Performance Sound Synthesis Engine for Plucked-String Instruments. - Myeongsu Kang; Jiwon Choi; Yongmin Kim; Cheol Hong Kim; Jong-Myon Kim (ICIC (1), 2011)

High-Performance Video Based Fire Detection Algorithms Using a Multi-core Architecture. - Yongmin Kim; Myeongsu Kang; Jong-Myon Kim (ICIC (2), 2011)

Audio Segmentation and Classification Using a Temporally Weighted Fuzzy C-Means Algorithm. - Ngoc Thi Thu Nguyen; Mohammad A. Haque; Cheol Hong Kim; Jong-Myon Kim (ISNN (2), 2011)

Fire Detection with Video Using Fuzzy c-Means and Back-Propagation Neural Network. - Tung Xuan Truong; Jong-Myon Kim (ISNN (2), 2011)

Color-Aware Instructions for Embedded Superscalar Processors. - Jongmyon Kim; Linda M. Wills; D. Scott Wills (J. Signal Process. Syst., 2011)

Fire flame detection in video sequences using multi-stage pattern recognition techniques. - Tung Xuan Truong; Jong-Myon Kim (Eng. Appl. Artif. Intell., 2012)

End-to-End High Speed Forward Error Correction Using Graphics Processing Units. - Md. Shohidul Islam; Jong-Myon Kim (MUSIC, 2013)

Accelerating Adaptive Forward Error Correction Using Graphics Processing Units. - Md. Shohidul Islam; Jong-Myon Kim (MUSIC, 2013)

High-Performance Sound Engine of Guitar on Optimal Many-Core Processors. - Myeongsu Kang; Cheol Hong Kim; Jong-Myon Kim (MUSIC, 2013)

Design space exploration in many-core processors for sound synthesis of plucked string instruments. - Jiwon Choi; Myeongsu Kang; Yongmin Kim; Cheol Hong Kim; Jong-Myon Kim (J. Parallel Distributed Comput., 2013)

An enhanced motion estimation approach using a genetic trail bounded approximation for H.264/AVC codecs. - Mohammad A. Haque; Jong-Myon Kim (Multim. Tools Appl., 2013)

An analysis of content-based classification of audio signals using a fuzzy c-means algorithm. - Mohammad A. Haque; Jong-Myon Kim (Multim. Tools Appl., 2013)

An enhanced fuzzy c-means algorithm for audio segmentation and classification. - Mohammad A. Haque; Jong-Myon Kim (Multim. Tools Appl., 2013)

Highly reliable state monitoring system for induction motors using dominant features in a two-dimension vibration signal. - Dinh Nguyen; Myeongsu Kang; Cheol Hong Kim; Jong-Myon Kim (New Rev. Hypermedia Multim., 2013)

Exploration of Optimal Many-Core Models for Efficient Image Segmentation. - Yongmin Kim; Myeongsu Kang; Jong-Myon Kim (IEEE Trans. Image Process., 2013)

An efficient scheduling scheme using estimated execution time for heterogeneous computing systems. - Hong Jun Choi; Dong Oh Son; Seung Gu Kang; Jong-Myon Kim; Hsien-Hsin S. Lee; Cheol Hong Kim (J. Supercomput., 2013)

An Analysis of Reducing Communication Delay in Network-on-Chip Interconnect Architecture. - Hasan Furhad; Mohammad A. Haque; Cheol Hong Kim; Jong-Myon Kim (Wirel. Pers. Commun., 2013)

Reliable condition monitoring of an induction motor using a genetic algorithm based method. - Won-Chul Jang; Myeongsu Kang; Jaeyoung Kim; Jong-Myon Kim; Hung Nguyen Ngoc (CIES, 2014)

Fuzzy C-means clustering with spatially weighted information for medical image segmentation. - Myeongsu Kang; Jong-Myon Kim (CIMSIVP, 2014)

Fault Classification of an Induction Motor Using Texture Features of Vibration Signals. - Won-Chul Jang; Myeongsu Kang; Jong-Myon Kim (FCC, 2014)

Accelerating a Bellman-Ford Routing Algorithm Using GPU. - In-Kyu Jeong; Jia Uddin; Myeongsu Kang; Cheol-Hong Kim; Jong-Myon Kim (FCC, 2014)

Audio Classification Using GA-Based Fuzzy C-Means. - Myeongsu Kang; Jong-Myon Kim (FCC, 2014)

Implementation of a Multi-core Prototyping System for a Video-Based Fire Detection Algorithm. - Yong-Hun Park; Myeongsu Kang; Jong-Myon Kim (FCC, 2014)

High-Performance Cluster Estimation Using Many-Core Models. - Junsang Seo; Myeongsu Kang; Cheol-Hong Kim; Jong-Myon Kim (FCC, 2014)

Early Fire Detection Using Multi-Stage Pattern Recognition Techniques in Video Sequences. - Dongkoo Shon; Myeongsu Kang; Junsang Seo; Jong-Myon Kim (FCC, 2014)

Analysis on the Power Efficiency of Mobile Systems Varying Device Parameters. - Dong Oh Son; Hong Jun Choi; Jong-Myon Kim; Cheol Hong Kim (ICITCS, 2014)

Reliable Fault Diagnosis of Low-Speed Bearing Defects Using a Genetic Algorithm. - Phuong Nguyen; Myeongsu Kang; Jaeyoung Kim; Jong-Myon Kim; Andy Chit Chiow Tan; Eric Y. Kim (PRICAI, 2014)

Accelerating Extended Hamming Code Decoders on Graphic Processing Units for High Speed Communication. - Md. Shohidul Islam; Jong-Myon Kim (IEICE Trans. Commun., 2014)

Concurrent warp execution: improving performance of GPU-likely SIMD architecture by increasing resource utilization. - Hong Jun Choi; Dong Oh Son; Jong-Myon Kim; Cheol Hong Kim (J. Supercomput., 2014)

A shortly connected mesh topology for high performance and energy efficient network-on-chip architectures. - Hasan Furhad; Jong-Myon Kim (J. Supercomput., 2014)

Maximum Class Separability-Based Discriminant Feature Selection Using a GA for Reliable Fault Diagnosis of Induction Motors. - Md. Rashedul Islam; Sheraz A. Khan; Jong-Myon Kim (ICIC (3), 2015)

Multi-fault Diagnosis of Roller Bearings Using Support Vector Machines with an Improved Decision Strategy. - M. M. Manjurul Islam; Sheraz A. Khan; Jong-Myon Kim (ICIC (3), 2015)

Real-time and energy-efficient bearing fault diagnosis using discriminative wavelet-based fault features on a multi-core system. - Jaeyoung Kim; Myeongsu Kang; In-Kyu Jeong; Heesung Jun; Jong-Myon Kim; Byeong-Keun Choi (ICPHM, 2015)

A novel memory management technique for cloud client devices. - Hong Jun Choi; Dong Oh Son; Jong-Myon Kim; Jinsul Kim; Cheol Hong Kim (Clust. Comput., 2015)

GPU-based fast error recovery for high speed data communication in media technology. - Md. Shohidul Islam; Jong-Myon Kim (Clust. Comput., 2015)

A GPU-based (8, 4) Hamming decoder for secure transmission of watermarked medical images. - Md. Shohidul Islam; Cheol Hong Kim; Jong-Myon Kim (Clust. Comput., 2015)

Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques. - Phuong Nguyen; Myeongsu Kang; Jong-Myon Kim; Byung-Hyun Ahn; Jeong-Min Ha; Byeong-Keun Choi (Expert Syst. Appl., 2015)

Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm. - Myeongsu Kang; Jaeyoung Kim; Jong-Myon Kim (Inf. Sci., 2015)

Corrigendum to "Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm" [Inform. Sci. 294 (2015) 423-438]. - Myeongsu Kang; Jaeyoung Kim; Jong-Myon Kim (Inf. Sci., 2015)

Corrigendum to "Reliable fault diagnosis for incipient low-speed bearings using feature analysis based on a binary bat algorithm" [Inform. Sci. 294(2015) 423-438]. - Myeongsu Kang; Jaeyoung Kim; Jong-Myon Kim; Andy Chit Chiow Tan; Eric Y. Kim; Byeong-Keun Choi (Inf. Sci., 2015)

Computationally efficient implementation of a Hamming code decoder using graphics processing unit. - Md. Shohidul Islam; Cheol Hong Kim; Jong-Myon Kim (J. Commun. Networks, 2015)

A new cache replacement algorithm for last-level caches by exploiting tag-distance correlation of cache lines. - Cong Thuan Do; Hong Jun Choi; Jong-Myon Kim; Cheol Hong Kim (Microprocess. Microsystems, 2015)

An FPGA-Based Multicore System for Real-Time Bearing Fault Diagnosis Using Ultrasampling Rate AE Signals. - Myeongsu Kang; Jaeyoung Kim; Jong-Myon Kim (IEEE Trans. Ind. Electron., 2015)

Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis. - Myeongsu Kang; Jaeyoung Kim; Linda M. Wills; Jong-Myon Kim (IEEE Trans. Ind. Electron., 2015)

A fast and energy-efficient Hamming decoder for software-defined radio using graphics processing units. - Jaeyoung Kim; Myeongsu Kang; Md. Shohidul Islam; Cheol Hong Kim; Jong-Myon Kim (J. Supercomput., 2015)

An optimal many-core model-based supercomputing for accelerating video-equipped fire detection. - Junsang Seo; Myeongsu Kang; Cheol Hong Kim; Jong-Myon Kim (J. Supercomput., 2015)

A Sequential k-Nearest Neighbor Classification Approach for Data-Driven Fault Diagnosis Using Distance- and Density-Based Affinity Measures. - Myeongsu Kang; Gopala Krishnan Ramaswami; Melinda Hodkiewicz; Edward Cripps; Jong-Myon Kim; Michael G. Pecht (DMBD, 2016)

Multi-core Accelerated Discriminant Feature Selection for Real-Time Bearing Fault Diagnosis. - Md. Rashedul Islam; Md. Sharif Uddin; Sheraz A. Khan; Jong-Myon Kim; Cheol Hong Kim (IEA/AIE, 2016)

A New Fault Classification Scheme Using Vibration Signal Signatures and the Mahalanobis Distance. - Jaeyoung Kim; Hung Nguyen Ngoc; Jongmyon Kim (IUKM, 2016)

Accelerating Envelope Analysis-Based Fault Diagnosis Using a General-Purpose Graphics Processing Unit. - Viet Tra; Md. Sharif Uddin; Jaeyoung Kim; Cheol Hong Kim; Jongmyon Kim (IUKM, 2016)

Protocols and Mechanisms to Recover Failed Packets in Wireless Networks: History and Evolution. - Sheraz Ali Khan; Muhammad Moosa; Farhan Naeem; Muhammad Hamad Alizai; Jong-Myon Kim (IEEE Access, 2016)

Acoustic Emission Sensor Network Based Fault Diagnosis of Induction Motors Using a Gabor Filter and Multiclass Support Vector Machines. - Md. Rashedul Islam; Jia Uddin; Jong-Myon Kim (Ad Hoc Sens. Wirel. Networks, 2016)

Adaptive ECG denoising using genetic algorithm-based thresholding and ensemble empirical mode decomposition. - Phuong Nguyen; Jong-Myon Kim (Inf. Sci., 2016)

Discriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors. - Md. Rashedul Islam; Sheraz A. Khan; Jong-Myon Kim (J. Sensors, 2016)

Accelerating the formant synthesis of haegeum sounds using a general-purpose graphics processing unit. - Myeongsu Kang; Md. Shohidul Islam; Md. Rashedul Islam; Jong-Myon Kim (Multim. Tools Appl., 2016)

Accelerating IP routing algorithm using graphics processing unit for high speed multimedia communication. - Jia Uddin; In-Kyu Jeong; Myeongsu Kang; Cheol Hong Kim; Jong-Myon Kim (Multim. Tools Appl., 2016)

A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics. - Myeongsu Kang; Md. Rashedul Islam; Jaeyoung Kim; Jong-Myon Kim; Michael G. Pecht (IEEE Trans. Ind. Electron., 2016)

A Massively Parallel Approach to Real-Time Bearing Fault Detection Using Sub-Band Analysis on an FPGA-Based Multicore System. - Myeongsu Kang; Jaeyoung Kim; In-Kyu Jeong; Jong-Myon Kim; Michael G. Pecht (IEEE Trans. Ind. Electron., 2016)

NTB branch predictor: dynamic branch predictor for high-performance embedded processors. - Cong Thuan Do; Hong Jun Choi; Dong Oh Son; Jong-Myon Kim; Cheol Hong Kim (J. Supercomput., 2016)

Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN. - Dileep Kumar Appana; Md. Rashedul Islam; Jong-Myon Kim (ACALCI, 2017)

A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance. - M. M. Manjurul Islam; Md. Rashedul Islam; Jong-Myon Kim (ACALCI, 2017)

Quantitative Assessment of Heart Function: A Hybrid Mechanism for Left Ventricle Segmentation from Cine MRI Sequences. - Muhammad Sohaib; Jong-Myon Kim (ACALCI, 2017)

An FPGA-Based Implementation of a Pipelined FFT Processor for High-Speed Signal Processing Applications. - Ngoc-Hung Nguyen; Sheraz Ali Khan; Cheol Hong Kim; Jong-Myon Kim (ARC, 2017)

Bearing Fault Diagnosis Based on Convolutional Neural Networks with Kurtogram Representation of Acoustic Emission Signals. - Alexander E. Prosvirin; Jaeyoung Kim; Jong-Myon Kim (CSA/CUTE, 2017)

Speed Invariant Bearing Fault Characterization Using Convolutional Neural Networks. - Dileep Kumar Appana; Wasim Ahmad; Jong-Myon Kim (MIWAI, 2017)

Fault Diagnosis of a Robot Manipulator Based on an ARX-Laguerre Fuzzy PID Observer. - Farzin Piltan; Muhammad Sohaib; Jong-Myon Kim (RiTA, 2017)

Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Network. - Akm Ashiquzzaman; Abdul Kawsar Tushar; Md. Rashedul Islam; Jong-Myon Kim (CoRR, 2017)

A video-based smoke detection using smoke flow pattern and spatial-temporal energy analyses for alarm systems. - Dileep Kumar Appana; Md. Rashedul Islam; Sheraz A. Khan; Jong-Myon Kim (Inf. Sci., 2017)

Early miss prediction based periodic cache bypassing for high performance GPUs. - Cong Thuan Do; Jong-Myon Kim; Cheol Hong Kim (Microprocess. Microsystems, 2017)

A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis. - Muhammad Sohaib; Cheol-Hong Kim; Jong-Myon Kim (Sensors, 2017)

Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm. - Viet Tra; Jaeyoung Kim; Sheraz Ali Khan; Jong-Myon Kim (Sensors, 2017)

Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal. - M. M. Manjurul Islam; Jong-Myon Kim (Canadian AI, 2018)

A Real-Time Monitoring System for Boiler Tube Leakage Detection. - Min-Gi Choi; Jae-Young Kim; In-Kyu Jeong; Yu-Hyun Kim; Jong-Myon Kim (HIS, 2018)

An Intelligent Data Acquisition and Control System for Simulating the Detection of Pipeline Leakage. - Jaeho Jeong; In-Kyu Jeong; Duck-Chan Jeon; Jong-Myon Kim (HIS, 2018)

Development of an Intelligent Diagnosis System for Detecting Leakage of Circulating Fluidized Bed Boiler Tubes. - Yu-Hyun Kim; In-Kyu Jeong; Jaeyoung Kim; Jae-Kyo Ban; Jong-Myon Kim (HIS, 2018)

Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation. - Sheraz Ali Khan; Alexander E. Prosvirin; Jong-Myon Kim (ICACS, 2018)

An Effective Envelope Analysis Using Gaussian Windows for Evaluation of Fault Severity in Bearing. - Hung Nguyen Ngoc; Jaeyoung Kim; Jong-Myon Kim (ICISA, 2018)

Pipeline Fault Diagnosis Using Wavelet Entropy and Ensemble Deep Neural Technique. - Bach Phi Duong; Jong-Myon Kim (ICISP, 2018)

Separability Index-Based Feature Selection and a Two-Tier Classifier for Improving Diagnostic Performance in Bearings. - Viet Tra; Bach Phi Duong; Jong-Myon Kim (ICISP, 2018)

Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models. - M. M. Manjurul Islam; Alexander E. Prosvirin; Jong-Myon Kim (IDEAL (1), 2018)

A Study on L1 Data Cache Bypassing Methods for High-Performance GPUs. - Cong Thuan Do; Min Goo Moon; Jong-Myon Kim; Cheol Hong Kim (PDCAT, 2018)

Dynamic Selective Warp Scheduling for GPUs Using L1 Data Cache Locality Information. - Gwang Bok Kim; Jong-Myon Kim; Cheol Hong Kim (PDCAT, 2018)

Fault Diagnosis of a Wireless Sensor Network Using a Hybrid Method. - Farzin Piltan; Jong-Myon Kim (PDCAT, 2018)

An Improved Gas Classification Technique Using New Features and Support Vector Machines. - Se-Jong Kang; Jae-Young Kim; In-Kyu Jeong; M. M. Manjurul Islam; Kichang Im; Jong-Myon Kim (SoCPaR, 2018)

Leakage Detection of a Boiler Tube Using a Genetic Algorithm-like Method and Support Vector Machines. - Young-Hun Kim; Jaeyoung Kim; Jong-Myon Kim (SoCPaR, 2018)

Texture analysis based feature extraction using Gabor filter and SVD for reliable fault diagnosis of an induction motor. - Md. Rashedul Islam; Jia Uddin; Jong-Myon Kim (Int. J. Inf. Technol. Manag., 2018)

Application Characteristics-Aware Sporadic Cache Bypassing for high performance GPGPUs. - Cong Thuan Do; Jong-Myon Kim; Cheol Hong Kim (J. Parallel Distributed Comput., 2018)

A high-performance, resource-efficient, reconfigurable parallel-pipelined FFT processor for FPGA platforms. - Ngoc-Hung Nguyen; Sheraz Ali Khan; Cheol-Hong Kim; Jong-Myon Kim (Microprocess. Microsystems, 2018)

Robust Composite High-Order Super-Twisting Sliding Mode Control of Robot Manipulators. - Shahnaz Tayebi-Haghighi; Farzin Piltan; Jong-Myon Kim (Robotics, 2018)

Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis. - Bach Phi Duong; Jong-Myon Kim (Sensors, 2018)

A Reliable Health Indicator for Fault Prognosis of Bearings. - Bach Phi Duong; Sheraz Ali Khan; Dongkoo Shon; Kichang Im; Jeongho Park; Dong-Sun Lim; Byungtae Jang; Jong-Myon Kim (Sensors, 2018)

Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods. - M. M. Manjurul Islam; Muhammad Sohaib; Jaeyoung Kim; Jong-Myon Kim (Sensors, 2018)

Optimal Sub-Band Analysis Based on the Envelope Power Spectrum for Effective Fault Detection in Bearing under Variable, Low Speeds. - Hung Nguyen Ngoc; Jaeyoung Kim; Jong-Myon Kim (Sensors, 2018)

Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode Observer. - Farzin Piltan; Jong-Myon Kim (Sensors, 2018)

Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization Observer. - Farzin Piltan; Jong-Myon Kim (Sensors, 2018)

Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models. - Alexander E. Prosvirin; M. M. Manjurul Islam; Jaeyoung Kim; Jong-Myon Kim (Sensors, 2018)

Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks. - Dileep Kumar Appana; Alexander E. Prosvirin; Jong-Myon Kim (Soft Comput., 2018)

Improvement of Risk Assessment Using Numerical Analysis for an Offshore Plant Dipole Antenna. - Yun-Jeong Cho; Kichang Im; Dongkoo Shon; Daehoon Park; Jong-Myon Kim (Symmetry, 2018)

A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models. - Wasim Ahmad; Sheraz Ali Khan; Jong-Myon Kim (IEEE Trans. Ind. Electron., 2018)

Leakage Classification Based on Improved Kullback-Leibler Separation in Water Pipelines. - Thi Ngoc Tu Luong; Jong-Myon Kim (FDSE, 2019)

Deep Convolutional Neural Network with 2D Spectral Energy Maps for Fault Diagnosis of Gearboxes Under Variable Speed. - Md Junayed Hasan; Jongmyon Kim (MedPRAI, 2019)

An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis. - Alexander E. Prosvirin; M. M. Manjurul Islam; Jong-Myon Kim (IEEE Access, 2019)

Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network. - M. M. Manjurul Islam; Jong-Myon Kim (Comput. Ind., 2019)

Improving the Performance of Storage Tank Fault Diagnosis by Removing Unwanted Components and Utilizing Wavelet-Based Features. - Viet Tra; Bach Phi Duong; Jaeyoung Kim; Muhammad Sohaib; Jong-Myon Kim (Entropy, 2019)

Optimization of Pipelined Discrete Wavelet Packet Transform Based on an Efficient Transpose Form and an Advanced Functional Sharing Technique. - Ngoc-Hung Nguyen; Cheol-Hong Kim; Jong-Myon Kim (J. Inf. Process. Syst., 2019)

A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models. - Wasim Ahmad; Sheraz Ali Khan; M. M. Manjurul Islam; Jong-Myon Kim (Reliab. Eng. Syst. Saf., 2019)

Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines. - M. M. Manjurul Islam; Jong-Myon Kim (Reliab. Eng. Syst. Saf., 2019)

Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder-Decoder Network. - M. M. Manjurul Islam; Jong-Myon Kim (Sensors, 2019)

Fault Identification of Multi-level Gear Defects Using Adaptive Noise Control and a Genetic Algorithm. - Cong Dai Nguyen; Alexander E. Prosvirin; Jong-Myon Kim (IHCI (1), 2020)

Multistage Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Modes of Vibration and Using Pearson Linear Discriminant Analysis. - Zahoor Ahmad; Alexander E. Prosvirin; Jaeyoung Kim; Jong-Myon Kim (IEEE Access, 2020)

Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis. - Zahoor Ahmad; Akhand Rai; Andrei S. Maliuk; Jong-Myon Kim (IEEE Access, 2020)

Pressure Vessel Diagnosis by Eliminating Undesired Signal Sources and Incorporating GA-Based Fault Feature Evaluation. - Viet Tra; Jongmyon Kim (IEEE Access, 2020)

Advanced fuzzy-based leak detection and size estimation for pipelines. - Farzin Piltan; Jong-Myon Kim (J. Intell. Fuzzy Syst., 2020)

Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer. - Farzin Piltan; Alexander E. Prosvirin; Jong-Myon Kim (J. Intell. Fuzzy Syst., 2020)

Performance Degradation Assessment of Concrete Beams Based on Acoustic Emission Burst Features and Mahalanobis - Taguchi System. - Md Arafat Habib; Akhand Rai; Jong-Myon Kim (Sensors, 2020)

A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions. - Md Junayed Hasan; Muhammad Sohaib; Jong-Myon Kim (Sensors, 2020)

The Enhancement of Leak Detection Performance for Water Pipelines through the Renovation of Training Data. - Thi Ngoc Tu Luong; Jong-Myon Kim (Sensors, 2020)

A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds. - Cong Dai Nguyen; Alexander E. Prosvirin; Jong-Myon Kim (Sensors, 2020)

Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems. - Minh Tuan Pham; Jong-Myon Kim; Cheol Hong Kim (Sensors, 2020)

Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network. - Alexander E. Prosvirin; Farzin Piltan; Jong-Myon Kim (Sensors, 2020)

Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers. - Rafia Nishat Toma; Alexander E. Prosvirin; Jong-Myon Kim (Sensors, 2020)

SVD-Based Image Watermarking Using the Fast Walsh-Hadamard Transform, Key Mapping, and Coefficient Ordering for Ownership Protection. - Tahmina Khanam; Pranab Kumar Dhar; Saki Kowsar; Jong-Myon Kim (Symmetry, 2020)

A Novel Health Indicator Based on Information Theory Features for Assessing Rotating Machinery Performance Degradation. - Akhand Rai; Jong-Myon Kim (IEEE Trans. Instrum. Meas., 2020)

Fault Diagnosis of Rotary Machine Bearings Under Inconsistent Working Conditions. - Muhammad Sohaib; Jong-Myon Kim (IEEE Trans. Instrum. Meas., 2020)

Crack Localization of Pipelines Using Machine Learning and Fuzzy Digital Twin. - Farzin Piltan; Jong-Myon Kim (ICTC, 2021)

Centrifugal Pump Fault Diagnosis Using Discriminative Factor-Based Features Selection and K-Nearest Neighbors. - Zahoor Ahmad; Md Junayed Hasan; Jong-Myon Kim (ISDA, 2021)

Transfer Learning with 2D Vibration Images for Fault Diagnosis of Bearings Under Variable Speed. - Zahoor Ahmad; Md Junayed Hasan; Jong-Myon Kim (ISDA, 2021)

An Adaptive-Backstepping Digital Twin-Based Approach for Bearing Crack Size Identification Using Acoustic Emission Signals. - Farzin Piltan; Jong-Myon Kim (ISDA, 2021)

Bearing Fault Classification of Induction Motor Using Statistical Features and Machine Learning Algorithms. - Rafia Nishat Toma; Jong-Myon Kim (ISDA, 2021)

A Novel Framework for Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Coefficients of Walsh Transform and Cosine Linear Discriminant Analysis. - Zahoor Ahmad; Akhand Rai; Md Junayed Hasan; Cheol Hong Kim; Jong-Myon Kim (IEEE Access, 2021)

A Lightweight Deep Learning-Based Approach for Concrete Crack Characterization Using Acoustic Emission Signals. - Md Arafat Habib; Md Junayed Hasan; Jong-Myon Kim (IEEE Access, 2021)

A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning. - Md Junayed Hasan; Akhand Rai; Zahoor Ahmad; Jong-Myon Kim (IEEE Access, 2021)

Efficient Fault Diagnosis of Rolling Bearings Using Neural Network Architecture Search and Sharing Weights. - Minh Tuan Pham; Jong-Myon Kim; Cheol Hong Kim (IEEE Access, 2021)

Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults. - Alexander E. Prosvirin; Zahoor Ahmad; Jong-Myon Kim (IEEE Access, 2021)

Fault Diagnosis of Bearings Using an Intelligence-Based Autoregressive Learning Lyapunov Algorithm. - Farzin Piltan; Jong-Myon Kim (Int. J. Comput. Intell. Syst., 2021)

A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory. - Yangde Gao; Cheol Hong Kim; Jong-Myon Kim (Sensors, 2021)

An Explainable AI-Based Fault Diagnosis Model for Bearings. - Md Junayed Hasan; Muhammad Sohaib; Jong-Myon Kim (Sensors, 2021)

Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection. - Andrei S. Maliuk; Alexander E. Prosvirin; Zahoor Ahmad; Cheol Hong Kim; Jong-Myon Kim (Sensors, 2021)

A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures. - Tuan-Khai Nguyen; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2021)

Construction of a Sensitive and Speed Invariant Gearbox Fault Diagnosis Model Using an Incorporated Utilizing Adaptive Noise Control and a Stacked Sparse Autoencoder-Based Deep Neural Network. - Cong Dai Nguyen; Alexander E. Prosvirin; Cheol Hong Kim; Jong-Myon Kim (Sensors, 2021)

Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size Identification. - Farzin Piltan; Bach Phi Duong; Jong-Myon Kim (Sensors, 2021)

Crack Size Identification for Bearings Using an Adaptive Digital Twin. - Farzin Piltan; Jong-Myon Kim (Sensors, 2021)

Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features. - Thang Bui Quy; Jong-Myon Kim (Sensors, 2021)

A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov-Smirnov Test. - Akhand Rai; Zahoor Ahmad; Md Junayed Hasan; Jong-Myon Kim (Sensors, 2021)

A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors. - Rafia Nishat Toma; Farzin Piltan; Jong-Myon Kim (Sensors, 2021)

Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique. - Alexander E. Prosvirin; Farzin Piltan; Jong-Myon Kim (IEEE Trans. Neural Networks Learn. Syst., 2021)

Comparison of Health Indicators Construction for Concrete Structure Using Acoustic Emission Hit and Kullback-Leibler Divergence. - Tuan-Khai Nguyen; Zahoor Ahmad; Jong-Myon Kim (FDSE (CCIS Volume), 2022)

GMM-Aided DNN Bearing Fault Diagnosis Using Sparse Autoencoder Feature Extraction. - Andrei S. Maliuk; Zahoor Ahmad; Jong-Myon Kim (IbPRIA, 2022)

A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings. - Yangde Gao; Farzin Piltan; Zahoor Ahmad; Rafia Nishat Toma; Jong-Myon Kim (MLIS, 2022)

Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network. - Rafia Nishat Toma; Yangde Gao; Jong-Myon Kim (MLIS, 2022)

Rolling Bearing Fault Diagnosis Based on Improved GAN and 2-D Representation of Acoustic Emission Signals. - Minh Tuan Pham; Jong-Myon Kim; Cheol Hong Kim (IEEE Access, 2022)

Intelligent rubbing fault identification using multivariate signals and a multivariate one-dimensional convolutional neural network. - Alexander E. Prosvirin; Andrei S. Maliuk; Jong-Myon Kim (Expert Syst. Appl., 2022)

Leak detection and localization for pipelines using multivariable fuzzy learning backstepping. - Farzin Piltan; Jong-Myon Kim (J. Intell. Fuzzy Syst., 2022)

A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning. - Sajjad Ahmad; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2022)

A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning. - Sajjad Ahmad; Zahoor Ahmad; Cheol Hong Kim; Jong-Myon Kim (Sensors, 2022)

Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis. - Zahoor Ahmad; Tuan-Khai Nguyen; Sajjad Ahmad; Cong Dai Nguyen; Jong-Myon Kim (Sensors, 2022)

A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines. - Yangde Gao; Farzin Piltan; Jong-Myon Kim (Sensors, 2022)

A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery. - Yangde Gao; Farzin Piltan; Jong-Myon Kim (Sensors, 2022)

Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning. - Md Junayed Hasan; M. M. Manjurul Islam; Jong-Myon Kim (Sensors, 2022)

A Deep-Learning-Based Health Indicator Constructor Using Kullback-Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures. - Tuan-Khai Nguyen; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2022)

Gearbox Fault Identification Model Using an Adaptive Noise Canceling Technique, Heterogeneous Feature Extraction, and Distance Ratio Principal Component Analysis. - Cong Dai Nguyen; Cheol Hong Kim; Jong-Myon Kim (Sensors, 2022)

Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification. - Farzin Piltan; Rafia Nishat Toma; Dongkoo Shon; Kichang Im; Hyun-Kyun Choi; Dae-Seung Yoo; Jong-Myon Kim (Sensors, 2022)

Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features. - Rafia Nishat Toma; Yangde Gao; Farzin Piltan; Kichang Im; Dongkoo Shon; Tae Hyun Yoon; Dae-Seung Yoo; Jong-Myon Kim (Sensors, 2022)

A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions. - Rafia Nishat Toma; Farzin Piltan; Kichang Im; Dongkoo Shon; Tae Hyun Yoon; Dae-Seung Yoo; Jong-Myon Kim (Sensors, 2022)

Pipeline Leak Detection Using Acoustic Emission and State Estimate in Feature Space. - Thang Bui Quy; Jong-Myon Kim (IEEE Trans. Instrum. Meas., 2022)

A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN. - Zahoor Ahmad; Niamat Ullah; Wasim Zaman; Muhammad Farooq Siddique; Jaeyoung Kim; Jong-Myon Kim (ACPR (2), 2023)

WPT-Base Selection for Bearing Fault Feature Extraction: A Node-Specific Approach Study. - Andrei S. Maliuk; Jong-Myon Kim (ACPR (2), 2023)

Comprehensive Pipeline Leak Detection Using Induced-Leak Enhanced Scalogram Analysis and Deep Learning. - Muhammad Farooq Siddique; Niamat Ullah; Jong-Myon Kim (HPCC/DSS/SmartCity/DependSys, 2023)

A Hybrid Classification Framework of Centrifugal Pumps Using Wavelet Coherence Visuals and Principal Component Analysis. - Niamat Ullah; Muhammad Farooq Siddique; Jong-Myon Kim (HPCC/DSS/SmartCity/DependSys, 2023)

Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN. - Zahoor Ahmad; Muhammad Farooq Siddique; Niamat Ullah; Jaeyoung Kim; Jong-Myon Kim (IHCI (2), 2023)

Leak Localization on Cylinder Tank Bottom Using Acoustic Emission. - Tuan-Khai Nguyen; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2023)

Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN. - Wasim Zaman; Zahoor Ahmad; Muhammad Farooq Siddique; Niamat Ullah; Jong-Myon Kim (Sensors, 2023)

Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator Scheme. - Farzin Piltan; Jong-Myon Kim (Sensors, 2023)

Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms. - Niamat Ullah; Zahoor Ahmed; Jong-Myon Kim (Sensors, 2023)

A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection. - Muhammad Farooq Siddique; Zahoor Ahmad; Niamat Ullah; Jongmyon Kim (Sensors, 2023)

An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning. - Niamat Ullah; Zahoor Ahmad; Muhammad Farooq Siddique; Kichang Im; Dongkoo Shon; Tae Hyun Yoon; Dae-Seung Yoo; Jong-Myon Kim (Sensors, 2023)

A Technique for Centrifugal Pump Fault Detection and Identification Based on a Novel Fault-Specific Mann-Whitney Test. - Zahoor Ahmad; Jae-Young Kim; Jong-Myon Kim (Sensors, 2023)

Leak State Detection and Size Identification for Fluid Pipelines with a Novel Acoustic Emission Intensity Index and Random Forest. - Tuan-Khai Nguyen; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2023)

A Reliable Pipeline Leak Detection Method Using Acoustic Emission with Time Difference of Arrival and Kolmogorov-Smirnov Test. - Nguyen Duc Thuan; Tuan-Khai Nguyen; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2023)

A Novel Leak Localization Method for Water Pipeline Systems Based on Acoustic Emission Monitoring and Event Correlation. - Nguyen Duc Thuan; Jong-Myon Kim (ICCSA (2), 2024)

Pipeline Leak Detection: Leveraging Acoustic Emission Signal Processing and Machine Learning. - Muhammad Farooq Siddique; Wasim Zaman; Niamat Ullah; Saif Ullah; Jong-Myon Kim (IHCI (1), 2024)

Remaining Useful Life Prediction for Pressurized Fluid Pipelines Based on Acoustic Emission Monitoring and an Adaptive Fuzzy Similarity Measure. - Nguyen Duc Thuan; Tuan-Khai Nguyen; Zahoor Ahmad; Jong-Myon Kim (IEEE Access, 2024)

Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network. - Yangde Gao; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2024)

An Ensemble Approach for Robust Automated Crack Detection and Segmentation in Concrete Structures. - Muhammad Sohaib; Saima Jamil; Jong-Myon Kim (Sensors, 2024)

Time-frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings. - M. M. Manjurul Islam; Jong-Myon Kim (J. Ambient Intell. Humaniz. Comput., 2024)

Fault Diagnosis in Centrifugal Pumps: A Dual-Scalogram Approach with Convolution Autoencoder and Artificial Neural Network. - Wasim Zaman; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2024)

Fault Diagnosis of a Multistage Centrifugal Pump Using Explanatory Ratio Linear Discriminant Analysis. - Saif Ullah; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2024)

The Prediction of the Remaining Useful Life of Rotating Machinery Based on an Adaptive Maximum Second-Order Cyclostationarity Blind Deconvolution and a Convolutional LSTM Autoencoder. - Yangde Gao; Zahoor Ahmad; Jong-Myon Kim (Sensors, 2024)

Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework. - Muhammad Farooq Siddique; Zahoor Ahmad; Niamat Ullah; Saif Ullah; Jong-Myon Kim (Sensors, 2024)

Advanced Fault Diagnosis in Milling Machines Using Acoustic Emission and Transfer Learning. - Muhammad Umar; Zahoor Ahmad; Saif Ullah; Faisal Saleem; Muhammad Farooq Siddique; Jong-Myon Kim (IEEE Access, 2025)

Trustworthy Pipeline Leak Localization Based on Acoustic Emission Event Monitoring. - Duc-Thuan Nguyen; Jong-Myon Kim (IEEE Trans. Instrum. Meas., 2025)