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Myeongsu Kang
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2020 – today
- 2020
- [j23]Wenliao Du
, Myeongsu Kang
, Michael G. Pecht
:
Fault Diagnosis Using Adaptive Multifractal Detrended Fluctuation Analysis. IEEE Trans. Ind. Electron. 67(3): 2272-2282 (2020)
2010 – 2019
- 2019
- [j22]Minghang Zhao
, Myeongsu Kang
, Baoping Tang, Michael G. Pecht
:
Multiple Wavelet Coefficients Fusion in Deep Residual Networks for Fault Diagnosis. IEEE Trans. Ind. Electron. 66(6): 4696-4706 (2019) - 2018
- [j21]Xuerong Ye, Cen Chen
, Myeongsu Kang
, Guofu Zhai, Michael G. Pecht
:
A Joint Distribution-Based Testability Metric Estimation Model for Unreliable Tests. IEEE Access 6: 42566-42577 (2018) - [j20]Jie Gao, Myeongsu Kang, Jing Tian, Lifeng Wu
, Michael G. Pecht
:
Unsupervised Locality-Preserving Robust Latent Low-Rank Recovery-Based Subspace Clustering for Fault Diagnosis. IEEE Access 6: 52345-52354 (2018) - [j19]Minghang Zhao
, Myeongsu Kang, Baoping Tang, Michael G. Pecht:
Deep Residual Networks With Dynamically Weighted Wavelet Coefficients for Fault Diagnosis of Planetary Gearboxes. IEEE Trans. Ind. Electron. 65(5): 4290-4300 (2018) - [j18]Fardin Dalvand
, Myeongsu Kang, Satar Dalvand
, Michael G. Pecht
:
Detection of Generalized-Roughness and Single-Point Bearing Faults Using Linear Prediction-Based Current Noise Cancellation. IEEE Trans. Ind. Electron. 65(12): 9728-9738 (2018) - [c16]Saurabh Saxena, Myeongsu Kang, Yinjiao Xing, Michael G. Pecht:
Anomaly Detection During Lithium-ion Battery Qualification Testing. ICPHM 2018: 1-6 - 2017
- [j17]Moon-Hwan Chang, Myeongsu Kang, Michael G. Pecht:
Prognostics-Based LED Qualification Using Similarity-Based Statistical Measure With RVM Regression Model. IEEE Trans. Ind. Electron. 64(7): 5667-5677 (2017) - 2016
- [j16]Michael G. Pecht, Tadahiro Shibutani, Myeongsu Kang, Melinda Hodkiewicz
, Edward Cripps
:
A fusion prognostics-based qualification test methodology for microelectronic products. Microelectron. Reliab. 63: 320-324 (2016) - [j15]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) - [j14]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) - [j13]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) - [j12]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) - [c15]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 - 2015
- [j11]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) - [j10]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) - [j9]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) - [j8]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) - [j7]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) - [j6]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) - [j5]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) - [j4]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) - [c14]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
- [c13]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 - [c12]Myeongsu Kang, Jong-Myon Kim:
Fuzzy C-means clustering with spatially weighted information for medical image segmentation. CIMSIVP 2014: 35-42 - [c11]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 - [c10]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 - [c9]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 - [c8]Won-Chul Jang, Myeongsu Kang, Jong-Myon Kim:
Fault Classification of an Induction Motor Using Texture Features of Vibration Signals. FCC 2014: 177-183 - [c7]Junsang Seo, Myeongsu Kang, Cheol-Hong Kim, Jong-Myon Kim:
High-Performance Cluster Estimation Using Many-Core Models. FCC 2014: 193-201 - [c6]Myeongsu Kang, Jong-Myon Kim:
Audio Classification Using GA-Based Fuzzy C-Means. FCC 2014: 393-400 - [c5]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 - 2013
- [j3]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) - [j2]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) - [j1]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) - [c4]Myeongsu Kang, Cheol Hong Kim, Jong-Myon Kim:
High-Performance Sound Engine of Guitar on Optimal Many-Core Processors. MUSIC 2013: 599-607 - 2011
- [c3]Sangjin Cho, Myeongsu Kang, Uipil Chong:
A Novel Musical Synthesizer Embedded with Physical Modeling Sound Synthesis Algorithm. ICIC (1) 2011: 464-471 - [c2]Yongmin Kim, Myeongsu Kang, Jong-Myon Kim:
High-Performance Video Based Fire Detection Algorithms Using a Multi-core Architecture. ICIC (2) 2011: 476-483 - [c1]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
Coauthor Index
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