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2020 – today
- 2024
[j126]Nguyen Duc Thuan
, Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim:
Remaining Useful Life Prediction for Pressurized Fluid Pipelines Based on Acoustic Emission Monitoring and an Adaptive Fuzzy Similarity Measure. IEEE Access 12: 104518-104532 (2024)- [j125]M. M. Manjurul Islam, Jong-Myon Kim:
Time-frequency envelope analysis-based sub-band selection and probabilistic support vector machines for multi-fault diagnosis of low-speed bearings. J. Ambient Intell. Humaniz. Comput. 15(2): 1527-1542 (2024) - [j124]Yangde Gao, Zahoor Ahmad, Jong-Myon Kim:
Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network. Sensors 24(1): 256 (2024) - [j123]Muhammad Sohaib, Saima Jamil, Jong-Myon Kim:
An Ensemble Approach for Robust Automated Crack Detection and Segmentation in Concrete Structures. Sensors 24(1): 257 (2024) - [j122]Wasim Zaman, Zahoor Ahmad, Jong-Myon Kim:
Fault Diagnosis in Centrifugal Pumps: A Dual-Scalogram Approach with Convolution Autoencoder and Artificial Neural Network. Sensors 24(3): 851 (2024) - [j121]Saif Ullah, Zahoor Ahmad, Jong-Myon Kim:
Fault Diagnosis of a Multistage Centrifugal Pump Using Explanatory Ratio Linear Discriminant Analysis. Sensors 24(6): 1830 (2024) - [j120]Yangde Gao, Zahoor Ahmad, Jong-Myon Kim:
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. Sensors 24(8): 2382 (2024) - [j119]Muhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, Saif Ullah, Jong-Myon Kim:
Pipeline Leak Detection: A Comprehensive Deep Learning Model Using CWT Image Analysis and an Optimized DBN-GA-LSSVM Framework. Sensors 24(12): 4009 (2024) - [c90]Nguyen Duc Thuan, Jong-Myon Kim:
A Novel Leak Localization Method for Water Pipeline Systems Based on Acoustic Emission Monitoring and Event Correlation. ICCSA (2) 2024: 261-272 - 2023
- [j118]Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim:
Leak Localization on Cylinder Tank Bottom Using Acoustic Emission. Sensors 23(1): 27 (2023) - [j117]Farzin Piltan, Jong-Myon Kim:
Bearing Fault Diagnosis Using a Hybrid Fuzzy V-Structure Fault Estimator Scheme. Sensors 23(2): 1021 (2023) - [j116]Niamat Ullah, Zahoor Ahmed, Jong-Myon Kim:
Pipeline Leakage Detection Using Acoustic Emission and Machine Learning Algorithms. Sensors 23(6): 3226 (2023) - [j115]Wasim Zaman, Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim:
Centrifugal Pump Fault Diagnosis Based on a Novel SobelEdge Scalogram and CNN. Sensors 23(11): 5255 (2023) - [j114]Muhammad Farooq Siddique, Zahoor Ahmad, Niamat Ullah, Jongmyon Kim:
A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection. Sensors 23(19): 8079 (2023) - [j113]Niamat Ullah, Zahoor Ahmad, Muhammad Farooq Siddique, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim:
An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning. Sensors 23(21): 8850 (2023) - [j112]Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim:
Leak State Detection and Size Identification for Fluid Pipelines with a Novel Acoustic Emission Intensity Index and Random Forest. Sensors 23(22): 9087 (2023) - [j111]Zahoor Ahmad, Jae-Young Kim, Jong-Myon Kim:
A Technique for Centrifugal Pump Fault Detection and Identification Based on a Novel Fault-Specific Mann-Whitney Test. Sensors 23(22): 9090 (2023) - [j110]Nguyen Duc Thuan, Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim:
A Reliable Pipeline Leak Detection Method Using Acoustic Emission with Time Difference of Arrival and Kolmogorov-Smirnov Test. Sensors 23(23): 9296 (2023) - [c89]Zahoor Ahmad, Niamat Ullah, Wasim Zaman, Muhammad Farooq Siddique, Jaeyoung Kim, Jong-Myon Kim:
A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN. ACPR (2) 2023: 170-179 - [c88]Andrei S. Maliuk, Jong-Myon Kim:
WPT-Base Selection for Bearing Fault Feature Extraction: A Node-Specific Approach Study. ACPR (2) 2023: 180-191 - [c87]Muhammad Farooq Siddique, Niamat Ullah, Jong-Myon Kim:
Comprehensive Pipeline Leak Detection Using Induced-Leak Enhanced Scalogram Analysis and Deep Learning. HPCC/DSS/SmartCity/DependSys 2023: 877-883 - [c86]Niamat Ullah, Muhammad Farooq Siddique, Jong-Myon Kim:
A Hybrid Classification Framework of Centrifugal Pumps Using Wavelet Coherence Visuals and Principal Component Analysis. HPCC/DSS/SmartCity/DependSys 2023: 906-911 - [c85]Zahoor Ahmad, Muhammad Farooq Siddique, Niamat Ullah, Jaeyoung Kim, Jong-Myon Kim:
Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN. IHCI (2) 2023: 162-170 - 2022
- [j109]Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim:
Rolling Bearing Fault Diagnosis Based on Improved GAN and 2-D Representation of Acoustic Emission Signals. IEEE Access 10: 78056-78069 (2022) - [j108]Alexander E. Prosvirin, Andrei S. Maliuk, Jong-Myon Kim:
Intelligent rubbing fault identification using multivariate signals and a multivariate one-dimensional convolutional neural network. Expert Syst. Appl. 198: 116868 (2022) - [j107]Farzin Piltan, Jong-Myon Kim:
Leak detection and localization for pipelines using multivariable fuzzy learning backstepping. J. Intell. Fuzzy Syst. 42(1): 377-388 (2022) - [j106]Md Junayed Hasan, M. M. Manjurul Islam, Jong-Myon Kim:
Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning. Sensors 22(1): 56 (2022) - [j105]Zahoor Ahmad, Tuan-Khai Nguyen, Sajjad Ahmad, Cong Dai Nguyen, Jong-Myon Kim:
Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis. Sensors 22(1): 179 (2022) - [j104]Farzin Piltan, Rafia Nishat Toma, Dongkoo Shon, Kichang Im, Hyun-Kyun Choi, Dae-Seung Yoo, Jong-Myon Kim:
Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification. Sensors 22(2): 539 (2022) - [j103]Sajjad Ahmad, Zahoor Ahmad, Cheol Hong Kim, Jong-Myon Kim:
A Method for Pipeline Leak Detection Based on Acoustic Imaging and Deep Learning. Sensors 22(4): 1562 (2022) - [j102]Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim:
A Deep-Learning-Based Health Indicator Constructor Using Kullback-Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures. Sensors 22(10): 3687 (2022) - [j101]Yangde Gao, Farzin Piltan, Jong-Myon Kim:
A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines. Sensors 22(10): 3963 (2022) - [j100]Cong Dai Nguyen, Cheol Hong Kim, Jong-Myon Kim:
Gearbox Fault Identification Model Using an Adaptive Noise Canceling Technique, Heterogeneous Feature Extraction, and Distance Ratio Principal Component Analysis. Sensors 22(11): 4091 (2022) - [j99]Rafia Nishat Toma, Farzin Piltan, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim:
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions. Sensors 22(13): 4881 (2022) - [j98]Sajjad Ahmad, Zahoor Ahmad, Jong-Myon Kim:
A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning. Sensors 22(17): 6448 (2022) - [j97]Yangde Gao, Farzin Piltan, Jong-Myon Kim:
A Novel Image-Based Diagnosis Method Using Improved DCGAN for Rotating Machinery. Sensors 22(19): 7534 (2022) - [j96]Rafia Nishat Toma, Yangde Gao, Farzin Piltan, Kichang Im, Dongkoo Shon, Tae Hyun Yoon, Dae-Seung Yoo, Jong-Myon Kim:
Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features. Sensors 22(22): 8958 (2022) - [j95]Thang Bui Quy, Jong-Myon Kim:
Pipeline Leak Detection Using Acoustic Emission and State Estimate in Feature Space. IEEE Trans. Instrum. Meas. 71: 1-9 (2022) - [c84]Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim:
Comparison of Health Indicators Construction for Concrete Structure Using Acoustic Emission Hit and Kullback-Leibler Divergence. FDSE (CCIS Volume) 2022: 603-613 - [c83]Andrei S. Maliuk, Zahoor Ahmad, Jong-Myon Kim:
GMM-Aided DNN Bearing Fault Diagnosis Using Sparse Autoencoder Feature Extraction. IbPRIA 2022: 555-564 - [c82]Yangde Gao, Farzin Piltan, Zahoor Ahmad, Rafia Nishat Toma, Jong-Myon Kim:
A Novel Fault Diagnosis Method Based on MADCNN for Rolling Bearings. MLIS 2022: 56-63 - [c81]Rafia Nishat Toma, Yangde Gao, Jong-Myon Kim:
Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network. MLIS 2022: 64-71 - 2021
- [j94]Md Junayed Hasan, Akhand Rai, Zahoor Ahmad, Jong-Myon Kim:
A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning. IEEE Access 9: 58052-58066 (2021) - [j93]Alexander E. Prosvirin, Zahoor Ahmad, Jong-Myon Kim:
Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults. IEEE Access 9: 65838-65854 (2021) - [j92]Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim:
Efficient Fault Diagnosis of Rolling Bearings Using Neural Network Architecture Search and Sharing Weights. IEEE Access 9: 98800-98811 (2021) - [j91]Md Arafat Habib, Md Junayed Hasan, Jong-Myon Kim:
A Lightweight Deep Learning-Based Approach for Concrete Crack Characterization Using Acoustic Emission Signals. IEEE Access 9: 104029-104050 (2021) - [j90]Zahoor Ahmad, Akhand Rai, Md Junayed Hasan, Cheol Hong Kim, Jong-Myon Kim:
A Novel Framework for Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Coefficients of Walsh Transform and Cosine Linear Discriminant Analysis. IEEE Access 9: 150128-150141 (2021) - [j89]Farzin Piltan, Jong-Myon Kim:
Fault Diagnosis of Bearings Using an Intelligence-Based Autoregressive Learning Lyapunov Algorithm. Int. J. Comput. Intell. Syst. 14(1): 537-549 (2021) - [j88]Cong Dai Nguyen, Alexander E. Prosvirin, Cheol Hong Kim, Jong-Myon Kim:
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. Sensors 21(1): 18 (2021) - [j87]Thang Bui Quy, Jong-Myon Kim:
Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features. Sensors 21(2): 367 (2021) - [j86]Farzin Piltan, Bach Phi Duong, Jong-Myon Kim:
Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size Identification. Sensors 21(6): 2102 (2021) - [j85]Md Junayed Hasan, Muhammad Sohaib, Jong-Myon Kim:
An Explainable AI-Based Fault Diagnosis Model for Bearings. Sensors 21(12): 4070 (2021) - [j84]Farzin Piltan, Jong-Myon Kim:
Crack Size Identification for Bearings Using an Adaptive Digital Twin. Sensors 21(15): 5009 (2021) - [j83]Andrei S. Maliuk, Alexander E. Prosvirin, Zahoor Ahmad, Cheol Hong Kim, Jong-Myon Kim:
Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection. Sensors 21(19): 6579 (2021) - [j82]Yangde Gao, Cheol Hong Kim, Jong-Myon Kim:
A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory. Sensors 21(19): 6614 (2021) - [j81]Tuan-Khai Nguyen, Zahoor Ahmad, Jong-Myon Kim:
A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures. Sensors 21(22): 7761 (2021) - [j80]Akhand Rai, Zahoor Ahmad, Md Junayed Hasan, Jong-Myon Kim:
A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov-Smirnov Test. Sensors 21(24): 8247 (2021) - [j79]Rafia Nishat Toma, Farzin Piltan, Jong-Myon Kim:
A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors. Sensors 21(24): 8453 (2021) - [j78]Alexander E. Prosvirin, Farzin Piltan, Jong-Myon Kim:
Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique. IEEE Trans. Neural Networks Learn. Syst. 32(11): 5144-5155 (2021) - [c80]Farzin Piltan, Jong-Myon Kim:
Crack Localization of Pipelines Using Machine Learning and Fuzzy Digital Twin. ICTC 2021: 337-342 - [c79]Zahoor Ahmad, Md Junayed Hasan, Jong-Myon Kim:
Centrifugal Pump Fault Diagnosis Using Discriminative Factor-Based Features Selection and K-Nearest Neighbors. ISDA 2021: 145-153 - [c78]Zahoor Ahmad, Md Junayed Hasan, Jong-Myon Kim:
Transfer Learning with 2D Vibration Images for Fault Diagnosis of Bearings Under Variable Speed. ISDA 2021: 154-164 - [c77]Rafia Nishat Toma, Jong-Myon Kim:
Bearing Fault Classification of Induction Motor Using Statistical Features and Machine Learning Algorithms. ISDA 2021: 243-254 - [c76]Farzin Piltan, Jong-Myon Kim:
An Adaptive-Backstepping Digital Twin-Based Approach for Bearing Crack Size Identification Using Acoustic Emission Signals. ISDA 2021: 538-547 - 2020
- [j77]Viet Tra, Jongmyon Kim:
Pressure Vessel Diagnosis by Eliminating Undesired Signal Sources and Incorporating GA-Based Fault Feature Evaluation. IEEE Access 8: 134653-134667 (2020) - [j76]Zahoor Ahmad, Akhand Rai, Andrei S. Maliuk, Jong-Myon Kim:
Discriminant Feature Extraction for Centrifugal Pump Fault Diagnosis. IEEE Access 8: 165512-165528 (2020) - [j75]Zahoor Ahmad, Alexander E. Prosvirin, Jaeyoung Kim, Jong-Myon Kim:
Multistage Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Modes of Vibration and Using Pearson Linear Discriminant Analysis. IEEE Access 8: 223030-223040 (2020) - [j74]Farzin Piltan, Jong-Myon Kim:
Advanced fuzzy-based leak detection and size estimation for pipelines. J. Intell. Fuzzy Syst. 38(1): 947-961 (2020) - [j73]Farzin Piltan, Alexander E. Prosvirin, Jong-Myon Kim:
Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer. J. Intell. Fuzzy Syst. 39(5): 6443-6463 (2020) - [j72]Rafia Nishat Toma, Alexander E. Prosvirin, Jong-Myon Kim:
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers. Sensors 20(7): 1884 (2020) - [j71]Thi Ngoc Tu Luong, Jong-Myon Kim:
The Enhancement of Leak Detection Performance for Water Pipelines through the Renovation of Training Data. Sensors 20(9): 2542 (2020) - [j70]Cong Dai Nguyen, Alexander E. Prosvirin, Jong-Myon Kim:
A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds. Sensors 20(11): 3105 (2020) - [j69]Md Arafat Habib, Akhand Rai, Jong-Myon Kim:
Performance Degradation Assessment of Concrete Beams Based on Acoustic Emission Burst Features and Mahalanobis - Taguchi System. Sensors 20(12): 3402 (2020) - [j68]Alexander E. Prosvirin, Farzin Piltan, Jong-Myon Kim:
Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network. Sensors 20(21): 6265 (2020) - [j67]Minh Tuan Pham, Jong-Myon Kim, Cheol Hong Kim:
Deep Learning-Based Bearing Fault Diagnosis Method for Embedded Systems. Sensors 20(23): 6886 (2020) - [j66]Md Junayed Hasan, Muhammad Sohaib, Jong-Myon Kim:
A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions. Sensors 20(24): 7205 (2020) - [j65]Tahmina Khanam, Pranab Kumar Dhar, Saki Kowsar, Jong-Myon Kim:
SVD-Based Image Watermarking Using the Fast Walsh-Hadamard Transform, Key Mapping, and Coefficient Ordering for Ownership Protection. Symmetry 12(1): 52 (2020) - [j64]Muhammad Sohaib, Jong-Myon Kim:
Fault Diagnosis of Rotary Machine Bearings Under Inconsistent Working Conditions. IEEE Trans. Instrum. Meas. 69(6): 3334-3347 (2020) - [j63]Akhand Rai, Jong-Myon Kim:
A Novel Health Indicator Based on Information Theory Features for Assessing Rotating Machinery Performance Degradation. IEEE Trans. Instrum. Meas. 69(9): 6982-6994 (2020) - [c75]Cong Dai Nguyen, Alexander E. Prosvirin, Jong-Myon Kim:
Fault Identification of Multi-level Gear Defects Using Adaptive Noise Control and a Genetic Algorithm. IHCI (1) 2020: 325-335
2010 – 2019
- 2019
- [j62]Alexander E. Prosvirin, M. M. Manjurul Islam, Jong-Myon Kim:
An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis. IEEE Access 7: 121728-121741 (2019) - [j61]M. M. Manjurul Islam, Jong-Myon Kim:
Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network. Comput. Ind. 106: 142-153 (2019) - [j60]Viet Tra, Bach Phi Duong, Jaeyoung Kim, Muhammad Sohaib, Jong-Myon Kim:
Improving the Performance of Storage Tank Fault Diagnosis by Removing Unwanted Components and Utilizing Wavelet-Based Features. Entropy 21(2): 145 (2019) - [j59]Ngoc-Hung Nguyen, Cheol-Hong Kim, Jong-Myon Kim:
Optimization of Pipelined Discrete Wavelet Packet Transform Based on an Efficient Transpose Form and an Advanced Functional Sharing Technique. J. Inf. Process. Syst. 15(2): 374-385 (2019) - [j58]M. M. Manjurul Islam, Jong-Myon Kim:
Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines. Reliab. Eng. Syst. Saf. 184: 55-66 (2019) - [j57]Wasim Ahmad, Sheraz Ali Khan, M. M. Manjurul Islam, Jong-Myon Kim:
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models. Reliab. Eng. Syst. Saf. 184: 67-76 (2019) - [j56]M. M. Manjurul Islam, Jong-Myon Kim:
Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder-Decoder Network. Sensors 19(19): 4251 (2019) - [c74]Thi Ngoc Tu Luong, Jong-Myon Kim:
Leakage Classification Based on Improved Kullback-Leibler Separation in Water Pipelines. FDSE 2019: 56-67 - [c73]Md Junayed Hasan, Jongmyon Kim:
Deep Convolutional Neural Network with 2D Spectral Energy Maps for Fault Diagnosis of Gearboxes Under Variable Speed. MedPRAI 2019: 106-117 - 2018
- [j55]Md. Rashedul Islam, Jia Uddin, Jong-Myon Kim:
Texture analysis based feature extraction using Gabor filter and SVD for reliable fault diagnosis of an induction motor. Int. J. Inf. Technol. Manag. 17(1/2): 20-32 (2018) - [j54]Cong Thuan Do, Jong-Myon Kim, Cheol Hong Kim:
Application Characteristics-Aware Sporadic Cache Bypassing for high performance GPGPUs. J. Parallel Distributed Comput. 122: 238-250 (2018) - [j53]Ngoc-Hung Nguyen, Sheraz Ali Khan, Cheol-Hong Kim, Jong-Myon Kim:
A high-performance, resource-efficient, reconfigurable parallel-pipelined FFT processor for FPGA platforms. Microprocess. Microsystems 60: 96-106 (2018) - [j52]Shahnaz Tayebi-Haghighi, Farzin Piltan, Jong-Myon Kim:
Robust Composite High-Order Super-Twisting Sliding Mode Control of Robot Manipulators. Robotics 7(1): 13 (2018) - [j51]Farzin Piltan, Jong-Myon Kim:
Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode Observer. Sensors 18(4): 1128 (2018) - [j50]Bach Phi Duong, Jong-Myon Kim:
Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis. Sensors 18(4): 1129 (2018) - [j49]Hung Nguyen Ngoc, Jaeyoung Kim, Jong-Myon Kim:
Optimal Sub-Band Analysis Based on the Envelope Power Spectrum for Effective Fault Detection in Bearing under Variable, Low Speeds. Sensors 18(5): 1389 (2018) - [j48]Alexander E. Prosvirin, M. M. Manjurul Islam, Jaeyoung Kim, Jong-Myon Kim:
Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models. Sensors 18(7): 2040 (2018) - [j47]Bach Phi Duong, Sheraz Ali Khan, Dongkoo Shon, Kichang Im, Jeongho Park, Dong-Sun Lim, Byungtae Jang, Jong-Myon Kim:
A Reliable Health Indicator for Fault Prognosis of Bearings. Sensors 18(11): 3740 (2018) - [j46]Farzin Piltan, Jong-Myon Kim:
Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization Observer. Sensors 18(12): 4359 (2018) - [j45]M. M. Manjurul Islam, Muhammad Sohaib, Jaeyoung Kim, Jong-Myon Kim:
Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods. Sensors 18(12): 4379 (2018) - [j44]Dileep Kumar Appana, Alexander E. Prosvirin, Jong-Myon Kim:
Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks. Soft Comput. 22(20): 6719-6729 (2018) - [j43]Yun-Jeong Cho, Kichang Im, Dongkoo Shon, Daehoon Park, Jong-Myon Kim:
Improvement of Risk Assessment Using Numerical Analysis for an Offshore Plant Dipole Antenna. Symmetry 10(12): 681 (2018) - [j42]Wasim Ahmad, Sheraz Ali Khan, Jong-Myon Kim:
A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models. IEEE Trans. Ind. Electron. 65(2): 1577-1584 (2018) - [c72]M. M. Manjurul Islam, Jong-Myon Kim:
Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal. Canadian AI 2018: 144-155 - [c71]Min-Gi Choi, Jae-Young Kim, In-Kyu Jeong, Yu-Hyun Kim, Jong-Myon Kim:
A Real-Time Monitoring System for Boiler Tube Leakage Detection. HIS 2018: 106-114 - [c70]Jaeho Jeong, In-Kyu Jeong, Duck-Chan Jeon, Jong-Myon Kim:
An Intelligent Data Acquisition and Control System for Simulating the Detection of Pipeline Leakage. HIS 2018: 115-124 - [c69]Yu-Hyun Kim, In-Kyu Jeong, Jaeyoung Kim, Jae-Kyo Ban, Jong-Myon Kim:
Development of an Intelligent Diagnosis System for Detecting Leakage of Circulating Fluidized Bed Boiler Tubes. HIS 2018: 311-320 - [c68]Sheraz Ali Khan, Alexander E. Prosvirin, Jong-Myon Kim:
Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation. ICACS 2018: 1-6 - [c67]Hung Nguyen Ngoc, Jaeyoung Kim, Jong-Myon Kim:
An Effective Envelope Analysis Using Gaussian Windows for Evaluation of Fault Severity in Bearing. ICISA 2018: 457-464 - [c66]Viet Tra, Bach Phi Duong, Jong-Myon Kim:
Separability Index-Based Feature Selection and a Two-Tier Classifier for Improving Diagnostic Performance in Bearings. ICISP 2018: 99-107 - [c65]Bach Phi Duong, Jong-Myon Kim:
Pipeline Fault Diagnosis Using Wavelet Entropy and Ensemble Deep Neural Technique. ICISP 2018: 292-300 - [c64]M. M. Manjurul Islam, Alexander E. Prosvirin, Jong-Myon Kim:
Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models. IDEAL (1) 2018: 147-155 - [c63]Farzin Piltan, Jong-Myon Kim:
Fault Diagnosis of a Wireless Sensor Network Using a Hybrid Method. PDCAT 2018: 133-142 - [c62]Cong Thuan Do, Min Goo Moon, Jong-Myon Kim, Cheol Hong Kim:
A Study on L1 Data Cache Bypassing Methods for High-Performance GPUs. PDCAT 2018: 210-219 - [c61]Gwang Bok Kim, Jong-Myon Kim, Cheol Hong Kim:
Dynamic Selective Warp Scheduling for GPUs Using L1 Data Cache Locality Information. PDCAT 2018: 230-239 - [c60]Young-Hun Kim, Jaeyoung Kim, Jong-Myon Kim:
Leakage Detection of a Boiler Tube Using a Genetic Algorithm-like Method and Support Vector Machines. SoCPaR 2018: 86-93 - [c59]Se-Jong Kang, Jae-Young Kim, In-Kyu Jeong, M. M. Manjurul Islam, Kichang Im, Jong-Myon Kim:
An Improved Gas Classification Technique Using New Features and Support Vector Machines. SoCPaR 2018: 158-166 - 2017
- [j41]Dileep Kumar Appana, Md. Rashedul Islam, Sheraz A. Khan, Jong-Myon Kim:
A video-based smoke detection using smoke flow pattern and spatial-temporal energy analyses for alarm systems. Inf. Sci. 418: 91-101 (2017) - [j40]Cong Thuan Do, Jong-Myon Kim, Cheol Hong Kim:
Early miss prediction based periodic cache bypassing for high performance GPUs. Microprocess. Microsystems 55: 44-54 (2017) - [j39]Viet Tra, Jaeyoung Kim, Sheraz Ali Khan, Jong-Myon Kim:
Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm. Sensors 17(12): 2834 (2017) - [j38]Muhammad Sohaib, Cheol-Hong Kim, Jong-Myon Kim:
A Hybrid Feature Model and Deep-Learning-Based Bearing Fault Diagnosis. Sensors 17(12): 2876 (2017) - [c58]Muhammad Sohaib, Jong-Myon Kim:
Quantitative Assessment of Heart Function: A Hybrid Mechanism for Left Ventricle Segmentation from Cine MRI Sequences. ACALCI 2017: 169-179 - [c57]M. M. Manjurul Islam, Md. Rashedul Islam, Jong-Myon Kim:
A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance. ACALCI 2017: 180-192 - [c56]Dileep Kumar Appana, Md. Rashedul Islam, Jong-Myon Kim:
Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN. ACALCI 2017: 193-203 - [c55]Ngoc-Hung Nguyen, Sheraz Ali Khan, Cheol Hong Kim, Jong-Myon Kim:
An FPGA-Based Implementation of a Pipelined FFT Processor for High-Speed Signal Processing Applications. ARC 2017: 81-89 - [c54]Alexander E. Prosvirin, Jaeyoung Kim, Jong-Myon Kim:
Bearing Fault Diagnosis Based on Convolutional Neural Networks with Kurtogram Representation of Acoustic Emission Signals. CSA/CUTE 2017: 21-26 - [c53]Dileep Kumar Appana, Wasim Ahmad, Jong-Myon Kim:
Speed Invariant Bearing Fault Characterization Using Convolutional Neural Networks. MIWAI 2017: 189-198 - [c52]Farzin Piltan, Muhammad Sohaib, Jong-Myon Kim:
Fault Diagnosis of a Robot Manipulator Based on an ARX-Laguerre Fuzzy PID Observer. RiTA 2017: 393-407 - [i2]Akm Ashiquzzaman, Abdul Kawsar Tushar, Md. Rashedul Islam, Jong-Myon Kim:
Reduction of Overfitting in Diabetes Prediction Using Deep Learning Neural Network. CoRR abs/1707.08386 (2017) - 2016
- [j37]Sheraz Ali Khan, Muhammad Moosa, Farhan Naeem, Muhammad Hamad Alizai, Jong-Myon Kim:
Protocols and Mechanisms to Recover Failed Packets in Wireless Networks: History and Evolution. IEEE Access 4: 4207-4224 (2016) - [j36]Md. Rashedul Islam, Jia Uddin, Jong-Myon Kim:
Acoustic Emission Sensor Network Based Fault Diagnosis of Induction Motors Using a Gabor Filter and Multiclass Support Vector Machines. Ad Hoc Sens. Wirel. Networks 34(1-4): 273-287 (2016) - [j35]Phuong Nguyen, Jong-Myon Kim:
Adaptive ECG denoising using genetic algorithm-based thresholding and ensemble empirical mode decomposition. Inf. Sci. 373: 499-511 (2016) - [j34]Md. Rashedul Islam, Sheraz A. Khan, Jong-Myon Kim:
Discriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors. J. Sensors 2016: 7145715:1-7145715:16 (2016) - [j33]Jia Uddin, In-Kyu Jeong, Myeongsu Kang, Cheol Hong Kim, Jong-Myon Kim:
Accelerating IP routing algorithm using graphics processing unit for high speed multimedia communication. Multim. Tools Appl. 75(23): 15365-15379 (2016) - [j32]Myeongsu Kang, Md. Shohidul Islam, Md. Rashedul Islam, Jong-Myon Kim:
Accelerating the formant synthesis of haegeum sounds using a general-purpose graphics processing unit. Multim. Tools Appl. 75(23): 15445-15459 (2016) - [j31]Myeongsu Kang, Md. Rashedul Islam, Jaeyoung Kim, Jong-Myon Kim, Michael G. Pecht:
A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics. IEEE Trans. Ind. Electron. 63(5): 3299-3310 (2016) - [j30]Myeongsu Kang, Jaeyoung Kim, In-Kyu Jeong, Jong-Myon Kim, Michael G. Pecht:
A Massively Parallel Approach to Real-Time Bearing Fault Detection Using Sub-Band Analysis on an FPGA-Based Multicore System. IEEE Trans. Ind. Electron. 63(10): 6325-6335 (2016) - [j29]Cong Thuan Do, Hong Jun Choi, Dong Oh Son, Jong-Myon Kim, Cheol Hong Kim:
NTB branch predictor: dynamic branch predictor for high-performance embedded processors. J. Supercomput. 72(5): 1679-1693 (2016) - [c51]Myeongsu Kang, Gopala Krishnan Ramaswami, Melinda Hodkiewicz, Edward Cripps, Jong-Myon Kim, Michael G. Pecht:
A Sequential k-Nearest Neighbor Classification Approach for Data-Driven Fault Diagnosis Using Distance- and Density-Based Affinity Measures. DMBD 2016: 253-261 - [c50]Md. Rashedul Islam, Md. Sharif Uddin, Sheraz A. Khan, Jong-Myon Kim, Cheol Hong Kim:
Multi-core Accelerated Discriminant Feature Selection for Real-Time Bearing Fault Diagnosis. IEA/AIE 2016: 645-656 - [c49]Jaeyoung Kim, Hung Nguyen Ngoc, Jongmyon Kim:
A New Fault Classification Scheme Using Vibration Signal Signatures and the Mahalanobis Distance. IUKM 2016: 230-241 - [c48]Viet Tra, Md. Sharif Uddin, Jaeyoung Kim, Cheol Hong Kim, Jongmyon Kim:
Accelerating Envelope Analysis-Based Fault Diagnosis Using a General-Purpose Graphics Processing Unit. IUKM 2016: 409-420 - 2015
- [j28]Md. Shohidul Islam, Jong-Myon Kim:
GPU-based fast error recovery for high speed data communication in media technology. Clust. Comput. 18(1): 93-101 (2015) - [j27]Md. Shohidul Islam, Cheol Hong Kim, Jong-Myon Kim:
A GPU-based (8, 4) Hamming decoder for secure transmission of watermarked medical images. Clust. Comput. 18(1): 333-341 (2015) - [j26]Hong Jun Choi, Dong Oh Son, Jong-Myon Kim, Jinsul Kim, Cheol Hong Kim:
A novel memory management technique for cloud client devices. Clust. Comput. 18(3): 1111-1116 (2015) - [j25]Phuong Nguyen, Myeongsu Kang, Jong-Myon Kim, Byung-Hyun Ahn, Jeong-Min Ha, Byeong-Keun Choi:
Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques. Expert Syst. Appl. 42(22): 9024-9032 (2015) - [j24]Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim:
Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm. Inf. Sci. 294: 423-438 (2015) - [j23]Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim:
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]. Inf. Sci. 308: 155 (2015) - [j22]Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Andy Chit Chiow Tan, Eric Y. Kim, Byeong-Keun Choi:
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]. Inf. Sci. 311: 205-206 (2015) - [j21]Md. Shohidul Islam, Cheol Hong Kim, Jong-Myon Kim:
Computationally efficient implementation of a Hamming code decoder using graphics processing unit. J. Commun. Networks 17(2): 198-202 (2015) - [j20]Cong Thuan Do, Hong Jun Choi, Jong-Myon Kim, Cheol Hong Kim:
A new cache replacement algorithm for last-level caches by exploiting tag-distance correlation of cache lines. Microprocess. Microsystems 39(4-5): 286-295 (2015) - [j19]Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim:
An FPGA-Based Multicore System for Real-Time Bearing Fault Diagnosis Using Ultrasampling Rate AE Signals. IEEE Trans. Ind. Electron. 62(4): 2319-2329 (2015) - [j18]Myeongsu Kang, Jaeyoung Kim, Linda M. Wills, Jong-Myon Kim:
Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis. IEEE Trans. Ind. Electron. 62(12): 7749-7761 (2015) - [j17]Junsang Seo, Myeongsu Kang, Cheol Hong Kim, Jong-Myon Kim:
An optimal many-core model-based supercomputing for accelerating video-equipped fire detection. J. Supercomput. 71(6): 2275-2308 (2015) - [j16]Jaeyoung Kim, Myeongsu Kang, Md. Shohidul Islam, Cheol Hong Kim, Jong-Myon Kim:
A fast and energy-efficient Hamming decoder for software-defined radio using graphics processing units. J. Supercomput. 71(7): 2454-2472 (2015) - [c47]Md. Rashedul Islam, Sheraz A. Khan, Jong-Myon Kim:
Maximum Class Separability-Based Discriminant Feature Selection Using a GA for Reliable Fault Diagnosis of Induction Motors. ICIC (3) 2015: 526-537 - [c46]M. M. Manjurul Islam, Sheraz A. Khan, Jong-Myon Kim:
Multi-fault Diagnosis of Roller Bearings Using Support Vector Machines with an Improved Decision Strategy. ICIC (3) 2015: 538-550 - [c45]Jaeyoung Kim, Myeongsu Kang, In-Kyu Jeong, Heesung Jun, Jong-Myon Kim, Byeong-Keun Choi:
Real-time and energy-efficient bearing fault diagnosis using discriminative wavelet-based fault features on a multi-core system. ICPHM 2015: 1-11 - 2014
- [j15]Md. Shohidul Islam, Jong-Myon Kim:
Accelerating Extended Hamming Code Decoders on Graphic Processing Units for High Speed Communication. IEICE Trans. Commun. 97-B(5): 1050-1058 (2014) - [j14]Hong Jun Choi, Dong Oh Son, Jong-Myon Kim, Cheol Hong Kim:
Concurrent warp execution: improving performance of GPU-likely SIMD architecture by increasing resource utilization. J. Supercomput. 69(1): 330-356 (2014) - [j13]Hasan Furhad, Jong-Myon Kim:
A shortly connected mesh topology for high performance and energy efficient network-on-chip architectures. J. Supercomput. 69(2): 766-792 (2014) - [c44]Won-Chul Jang, Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Hung Nguyen Ngoc:
Reliable condition monitoring of an induction motor using a genetic algorithm based method. CIES 2014: 37-41 - [c43]Myeongsu Kang, Jong-Myon Kim:
Fuzzy C-means clustering with spatially weighted information for medical image segmentation. CIMSIVP 2014: 35-42 - [c42]Yong-Hun Park, Myeongsu Kang, Jong-Myon Kim:
Implementation of a Multi-core Prototyping System for a Video-Based Fire Detection Algorithm. FCC 2014: 135-144 - [c41]In-Kyu Jeong, Jia Uddin, Myeongsu Kang, Cheol-Hong Kim, Jong-Myon Kim:
Accelerating a Bellman-Ford Routing Algorithm Using GPU. FCC 2014: 153-160 - [c40]Dongkoo Shon, Myeongsu Kang, Junsang Seo, Jong-Myon Kim:
Early Fire Detection Using Multi-Stage Pattern Recognition Techniques in Video Sequences. FCC 2014: 161-168 - [c39]Won-Chul Jang, Myeongsu Kang, Jong-Myon Kim:
Fault Classification of an Induction Motor Using Texture Features of Vibration Signals. FCC 2014: 177-183 - [c38]Junsang Seo, Myeongsu Kang, Cheol-Hong Kim, Jong-Myon Kim:
High-Performance Cluster Estimation Using Many-Core Models. FCC 2014: 193-201 - [c37]Myeongsu Kang, Jong-Myon Kim:
Audio Classification Using GA-Based Fuzzy C-Means. FCC 2014: 393-400 - [c36]Dong Oh Son, Hong Jun Choi, Jong-Myon Kim, Cheol Hong Kim:
Analysis on the Power Efficiency of Mobile Systems Varying Device Parameters. ICITCS 2014: 1-3 - [c35]Phuong Nguyen, Myeongsu Kang, Jaeyoung Kim, Jong-Myon Kim, Andy Chit Chiow Tan, Eric Y. Kim:
Reliable Fault Diagnosis of Low-Speed Bearing Defects Using a Genetic Algorithm. PRICAI 2014: 248-255 - [i1]Md. Shohidul Islam, Cheol Hong Kim, Jong-Myon Kim:
Computationally Efficient Implementation of a Hamming Code Decoder using a Graphics Processing Unit. CoRR abs/1412.6862 (2014) - 2013
- [j12]Jiwon Choi, Myeongsu Kang, Yongmin Kim, Cheol Hong Kim, Jong-Myon Kim:
Design space exploration in many-core processors for sound synthesis of plucked string instruments. J. Parallel Distributed Comput. 73(11): 1506-1522 (2013) - [j11]Mohammad A. Haque, Jong-Myon Kim:
An enhanced motion estimation approach using a genetic trail bounded approximation for H.264/AVC codecs. Multim. Tools Appl. 63(1): 63-76 (2013) - [j10]Mohammad A. Haque, Jong-Myon Kim:
An analysis of content-based classification of audio signals using a fuzzy c-means algorithm. Multim. Tools Appl. 63(1): 77-92 (2013) - [j9]Mohammad A. Haque, Jong-Myon Kim:
An enhanced fuzzy c-means algorithm for audio segmentation and classification. Multim. Tools Appl. 63(2): 485-500 (2013) - [j8]Dinh Nguyen, Myeongsu Kang, Cheol Hong Kim, Jong-Myon Kim:
Highly reliable state monitoring system for induction motors using dominant features in a two-dimension vibration signal. New Rev. Hypermedia Multim. 19(3-4): 248-258 (2013) - [j7]Yongmin Kim, Myeongsu Kang, Jong-Myon Kim:
Exploration of Optimal Many-Core Models for Efficient Image Segmentation. IEEE Trans. Image Process. 22(5): 1767-1777 (2013) - [j6]Hong Jun Choi, Dong Oh Son, Seung Gu Kang, Jong-Myon Kim, Hsien-Hsin S. Lee, Cheol Hong Kim:
An efficient scheduling scheme using estimated execution time for heterogeneous computing systems. J. Supercomput. 65(2): 886-902 (2013) - [j5]Hasan Furhad, Mohammad A. Haque, Cheol Hong Kim, Jong-Myon Kim:
An Analysis of Reducing Communication Delay in Network-on-Chip Interconnect Architecture. Wirel. Pers. Commun. 73(4): 1403-1419 (2013) - [c34]Md. Shohidul Islam, Jong-Myon Kim:
End-to-End High Speed Forward Error Correction Using Graphics Processing Units. MUSIC 2013: 47-53 - [c33]Md. Shohidul Islam, Jong-Myon Kim:
Accelerating Adaptive Forward Error Correction Using Graphics Processing Units. MUSIC 2013: 591-597 - [c32]Myeongsu Kang, Cheol Hong Kim, Jong-Myon Kim:
High-Performance Sound Engine of Guitar on Optimal Many-Core Processors. MUSIC 2013: 599-607 - 2012
- [j4]Tung Xuan Truong, Jong-Myon Kim:
Fire flame detection in video sequences using multi-stage pattern recognition techniques. Eng. Appl. Artif. Intell. 25(7): 1365-1372 (2012) - 2011
- [j3]Jongmyon Kim, Linda M. Wills, D. Scott Wills:
Color-Aware Instructions for Embedded Superscalar Processors. J. Signal Process. Syst. 64(3): 335-350 (2011) - [c31]Pranab Kumar Dhar, Mohammad Ibrahim Khan, Sunil Dhar, Jong-Myon Kim:
Robust Audio Watermarking Scheme Based on Short Time Fourier Transformation and Singular Value Decomposition. FGIT-SecTech 2011: 128-138 - [c30]Pranab Kumar Dhar, Mohammad Ibrahim Khan, D. M. H. Hasan, Jong-Myon Kim:
Enhanced Edge Localization and Gradient Directional Masking for Moving Object Detection. FGIT-SIP 2011: 234-243 - [c29]Jin Woo Ahn, Dong Oh Son, Hyung Gyu Jeon, Jong-Myon Kim, Cheol Hong Kim:
Complexity Adaptive Branch Predictor for Thermal-Aware 3D Multi-core Processors. FGIT-CA/CES3 2011: 333-343 - [c28]Dong Oh Son, Young Jin Park, Jin Woo Ahn, Jaehyung Park, Jong-Myon Kim, Cheol Hong Kim:
Thermal-Aware Floorplan Schemes for Reliable 3D Multi-core Processors. ICCSA (2) 2011: 463-474 - [c27]Yongmin Kim, Myeongsu Kang, Jong-Myon Kim:
High-Performance Video Based Fire Detection Algorithms Using a Multi-core Architecture. ICIC (2) 2011: 476-483 - [c26]Myeongsu Kang, Jiwon Choi, Yongmin Kim, Cheol Hong Kim, Jong-Myon Kim:
Implementation of High-Performance Sound Synthesis Engine for Plucked-String Instruments. ICIC (1) 2011: 480-487 - [c25]Tung Xuan Truong, Jong-Myon Kim:
Fire Detection with Video Using Fuzzy c-Means and Back-Propagation Neural Network. ISNN (2) 2011: 373-380 - [c24]Ngoc Thi Thu Nguyen, Mohammad A. Haque, Cheol Hong Kim, Jong-Myon Kim:
Audio Segmentation and Classification Using a Temporally Weighted Fuzzy C-Means Algorithm. ISNN (2) 2011: 447-456 - 2010
- [j2]Jong-Myon Kim, Sung Woo Chung, Cheol Hong Kim:
Energy-aware instruction cache design using small trace cache. IET Comput. Digit. Tech. 4(4): 293-305 (2010) - [c23]Jong-Myon Kim, Yongmin Kim, Cheol Hong Kim:
Performance Evaluation of Multimedia Extensions on Variable Many-Core Processors. CDES 2010: 98-104 - [c22]Hong Jun Choi, Young Jin Park, Seung Gu Kang, Cheol Hong Kim, Sung Woo Chung, Jong-Myon Kim, Dongseop Kwon:
Thermal-aware Duplicated Filter Cache for Improving Processor Reliability. CDES 2010: 160-168 - [c21]Young Jin Park, Hong Jun Choi, Cheol Hong Kim, Jong-Myon Kim:
Energy-aware Filter Cache Architecture for Multicore Processors. DELTA 2010: 58-62 - [c20]Pranab Kumar Dhar, Mohammad Ibrahim Khan, Cheol Hong Kim, Jong-Myon Kim:
An Efficient Audio Watermarking Algorithm in Frequency Domain for Copyright Protection. FGIT-SecTech/DRBC 2010: 104-113 - [c19]Pranab Kumar Dhar, Cheol Hong Kim, Jong-Myon Kim:
Robust Audio Watermarking Scheme Based on Deterministic Plus Stochastic Model. FGIT-SecTech/DRBC 2010: 114-125 - [c18]Jong-Myon Kim:
Impact of Multimedia Extensions for Different Processing Element Granularities on an Embedded Imaging System. ICA3PP (1) 2010: 487-498 - [c17]Linh Tran Ho, Jong-Myon Kim:
Direction Integrated Genetic Algorithm for Motion Estimation in H.264/AVC. ICIC (2) 2010: 279-286
2000 – 2009
- 2009
- [c16]Huynh Van Luong, Jong-Myon Kim:
A generalized spatial fuzzy c-means algorithm for medical image segmentation. FUZZ-IEEE 2009: 409-414 - [c15]Hyunh Van Luong, Jong-Myon Kim:
A Massively Parallel Approach to Affine Transformataion in Medical Image Registration. HPCC 2009: 117-123 - [c14]Pranab Kumar Dhar, Sangjin Cho, Jong-Myon Kim:
Synthesis of Bowhead Whale Sound Using Modified Spectral Modeling. ICIC (1) 2009: 166-176 - [c13]Hyunh Van Luong, Sangjin Cho, Jong-Myon Kim, Uipil Chong:
Real-Time Sound Synthesis of Plucked String Instruments Using a Data Parallel Architecture. ICIC (1) 2009: 211-221 - [c12]Huynh Van Luong, Yongmin Kim, Byung-Kook Kim, Jong-Myon Kim, Cheol Hong Kim:
Parallel Approach to Fuzzy Vector Quantization for Image Compression. SNPD 2009: 510-515 - 2008
- [c11]Jong-Myon Kim:
The Impact of Multimedia Extensions for Multimedia Applications on Mobile Computing Systems. APCHI 2008: 266-275 - [c10]Nara Yang, Gilsang Yoon, Jeonghwan Lee, Intae Hwang, Cheol Hong Kim, Jong-Myon Kim:
Loop Detection for Energy-Aware High Performance Embedded Processors. APSCC 2008: 1578-1583 - [c9]Hyunh Van Luong, Jong-Myon Kim:
A New Parallel Approach to Fuzzy Clustering for Medical Image Segmentation. ISVC (1) 2008: 1092-1101 - 2005
- [b1]Jongmyon Kim:
Architectural Enhancements for Color Image and Video Processing on Embedded Systems. Georgia Institute of Technology, Atlanta, GA, USA, 2005 - [c8]Jongmyon Kim, D. Scott Wills, Linda M. Wills:
Architectural Enhancements for Color Image and Video Processing on Embedded Systems. Asia-Pacific Computer Systems Architecture Conference 2005: 104-117 - [c7]Jongmyon Kim, D. Scott Wills, Linda M. Wills:
Determining Optimal Grain Size for Efficient Vector Processing on SIMD Image Processing Architectures. Asia-Pacific Computer Systems Architecture Conference 2005: 551-565 - [c6]Jongmyon Kim, D. Scott Wills, Linda M. Wills:
Implementing and Evaluating Color-Aware Instruction Set for Low-Memory, Embedded Video Processing in Data Parallel Architectures. EUC 2005: 4-16 - [c5]Jongmyon Kim, Linda M. Wills, D. Scott Wills:
Effective detection and elimination of impulse noise for reliable 4: 2: 0 YCbCr signals prior to compression encoding. ICASSP (2) 2005: 1005-1008 - 2004
- [c4]Jongmyon Kim, D. Scott Wills:
Efficient Processing of Color Image Sequences Using a Color-Aware Instruction Set on Mobile Systems. ASAP 2004: 137-149 - 2003
- [c3]Jongmyon Kim, D. Scott Wills:
Quantized color instruction set for media-on-demand applications. ICME 2003: 141-144 - [c2]Jongmyon Kim, Santithorn Bunchua, D. Scott Wills:
Fast Color Image Processing Using Quantized Color Instruction Set. ITCC 2003: 529-535 - 2002
- [c1]Jongmyon Kim, Soojung Ryu, Antonio Gentile, Linda M. Wills, D. Scott Wills:
Impulse noise removal on an embedded, low memory SIMD processor. DSP 2002: 1257-1260 - 2001
- [j1]Haniph A. Latchman, Christophe Salzmann, Denis Gillet, Jongmyon Kim:
Learning on demand-a hybrid synchronous/asynchronous approach. IEEE Trans. Educ. 44(2): 17 (2001)
Coauthor Index
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