Jong-Myon Kim
Orcid: 0000-0002-5185-1062
According to our database1,
Jong-Myon Kim
authored at least 214 papers
between 2001 and 2024.
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Bibliography
2024
Fault Diagnosis of a Multistage Centrifugal Pump Using Explanatory Ratio Linear Discriminant Analysis.
Sensors, March, 2024
Fault Diagnosis in Centrifugal Pumps: A Dual-Scalogram Approach with Convolution Autoencoder and Artificial Neural Network.
Sensors, February, 2024
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., February, 2024
An Ensemble Approach for Robust Automated Crack Detection and Segmentation in Concrete Structures.
Sensors, 2024
Fault Diagnosis of Rotating Machinery Using an Optimal Blind Deconvolution Method and Hybrid Invertible Neural Network.
Sensors, 2024
2023
A Reliable Pipeline Leak Detection Method Using Acoustic Emission with Time Difference of Arrival and Kolmogorov-Smirnov Test.
Sensors, December, 2023
Leak State Detection and Size Identification for Fluid Pipelines with a Novel Acoustic Emission Intensity Index and Random Forest.
Sensors, November, 2023
A Technique for Centrifugal Pump Fault Detection and Identification Based on a Novel Fault-Specific Mann-Whitney Test.
Sensors, November, 2023
An Intelligent Framework for Fault Diagnosis of Centrifugal Pump Leveraging Wavelet Coherence Analysis and Deep Learning.
Sensors, October, 2023
A Hybrid Deep Learning Approach: Integrating Short-Time Fourier Transform and Continuous Wavelet Transform for Improved Pipeline Leak Detection.
Sensors, October, 2023
Sensors, March, 2023
Sensors, January, 2023
Sensors, 2023
Centrifugal Pump Health Condition Identification Based on Novel Multi-filter Processed Scalograms and CNN.
Proceedings of the Intelligent Human Computer Interaction - 15th International Conference, 2023
A Hybrid Classification Framework of Centrifugal Pumps Using Wavelet Coherence Visuals and Principal Component Analysis.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
Comprehensive Pipeline Leak Detection Using Induced-Leak Enhanced Scalogram Analysis and Deep Learning.
Proceedings of the IEEE International Conference on High Performance Computing & Communications, 2023
WPT-Base Selection for Bearing Fault Feature Extraction: A Node-Specific Approach Study.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023
A Framework for Centrifugal Pump Diagnosis Using Health Sensitivity Ratio Based Feature Selection and KNN.
Proceedings of the Pattern Recognition - 7th Asian Conference, 2023
2022
IEEE Trans. Instrum. Meas., 2022
A Bearing Fault Classification Framework Based on Image Encoding Techniques and a Convolutional Neural Network under Different Operating Conditions.
Sensors, 2022
Classification Framework of the Bearing Faults of an Induction Motor Using Wavelet Scattering Transform-Based Features.
Sensors, 2022
Strict-Feedback Backstepping Digital Twin and Machine Learning Solution in AE Signals for Bearing Crack Identification.
Sensors, 2022
Gearbox Fault Identification Model Using an Adaptive Noise Canceling Technique, Heterogeneous Feature Extraction, and Distance Ratio Principal Component Analysis.
Sensors, 2022
A Deep-Learning-Based Health Indicator Constructor Using Kullback-Leibler Divergence for Predicting the Remaining Useful Life of Concrete Structures.
Sensors, 2022
Bearing Fault Diagnosis Using Multidomain Fusion-Based Vibration Imaging and Multitask Learning.
Sensors, 2022
Sensors, 2022
A Hybrid Leak Localization Approach Using Acoustic Emission for Industrial Pipelines.
Sensors, 2022
Multistage Centrifugal Pump Fault Diagnosis Using Informative Ratio Principal Component Analysis.
Sensors, 2022
Sensors, 2022
A Centrifugal Pump Fault Diagnosis Framework Based on Supervised Contrastive Learning.
Sensors, 2022
Leak detection and localization for pipelines using multivariable fuzzy learning backstepping.
J. Intell. Fuzzy Syst., 2022
Intelligent rubbing fault identification using multivariate signals and a multivariate one-dimensional convolutional neural network.
Expert Syst. Appl., 2022
Rolling Bearing Fault Diagnosis Based on Improved GAN and 2-D Representation of Acoustic Emission Signals.
IEEE Access, 2022
Data-Driven Fault Classification of Induction Motor Based on Recurrence Plot and Deep Convolution Neural Network.
Proceedings of the Machine Learning and Artificial Intelligence, 2022
Proceedings of the Machine Learning and Artificial Intelligence, 2022
Proceedings of the Pattern Recognition and Image Analysis - 10th Iberian Conference, 2022
Comparison of Health Indicators Construction for Concrete Structure Using Acoustic Emission Hit and Kullback-Leibler Divergence.
Proceedings of the Future Data and Security Engineering. Big Data, Security and Privacy, Smart City and Industry 4.0 Applications, 2022
2021
Hybrid Rubbing Fault Identification Using a Deep Learning-Based Observation Technique.
IEEE Trans. Neural Networks Learn. Syst., 2021
A Deep Autoencoder-Based Convolution Neural Network Framework for Bearing Fault Classification in Induction Motors.
Sensors, 2021
A Novel Pipeline Leak Detection Technique Based on Acoustic Emission Features and Two-Sample Kolmogorov-Smirnov Test.
Sensors, 2021
Real-Time Leak Detection for a Gas Pipeline Using a k-NN Classifier and Hybrid AE Features.
Sensors, 2021
Deep Learning-Based Adaptive Neural-Fuzzy Structure Scheme for Bearing Fault Pattern Recognition and Crack Size Identification.
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.
Sensors, 2021
A Scheme with Acoustic Emission Hit Removal for the Remaining Useful Life Prediction of Concrete Structures.
Sensors, 2021
Novel Bearing Fault Diagnosis Using Gaussian Mixture Model-Based Fault Band Selection.
Sensors, 2021
A Novel Hybrid Deep Learning Method for Fault Diagnosis of Rotating Machinery Based on Extended WDCNN and Long Short-Term Memory.
Sensors, 2021
Fault Diagnosis of Bearings Using an Intelligence-Based Autoregressive Learning Lyapunov Algorithm.
Int. J. Comput. Intell. Syst., 2021
Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults.
IEEE Access, 2021
Efficient Fault Diagnosis of Rolling Bearings Using Neural Network Architecture Search and Sharing Weights.
IEEE Access, 2021
A Fault Diagnosis Framework for Centrifugal Pumps by Scalogram-Based Imaging and Deep Learning.
IEEE Access, 2021
A Lightweight Deep Learning-Based Approach for Concrete Crack Characterization Using Acoustic Emission Signals.
IEEE Access, 2021
A Novel Framework for Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Coefficients of Walsh Transform and Cosine Linear Discriminant Analysis.
IEEE Access, 2021
Bearing Fault Classification of Induction Motor Using Statistical Features and Machine Learning Algorithms.
Proceedings of the Intelligent Systems Design and Applications, 2021
An Adaptive-Backstepping Digital Twin-Based Approach for Bearing Crack Size Identification Using Acoustic Emission Signals.
Proceedings of the Intelligent Systems Design and Applications, 2021
Transfer Learning with 2D Vibration Images for Fault Diagnosis of Bearings Under Variable Speed.
Proceedings of the Intelligent Systems Design and Applications, 2021
Centrifugal Pump Fault Diagnosis Using Discriminative Factor-Based Features Selection and K-Nearest Neighbors.
Proceedings of the Intelligent Systems Design and Applications, 2021
Proceedings of the International Conference on Information and Communication Technology Convergence, 2021
2020
IEEE Trans. Instrum. Meas., 2020
A Novel Health Indicator Based on Information Theory Features for Assessing Rotating Machinery Performance Degradation.
IEEE Trans. Instrum. Meas., 2020
SVD-Based Image Watermarking Using the Fast Walsh-Hadamard Transform, Key Mapping, and Coefficient Ordering for Ownership Protection.
Symmetry, 2020
Bearing Fault Diagnosis of Induction Motors Using a Genetic Algorithm and Machine Learning Classifiers.
Sensors, 2020
Blade Rub-Impact Fault Identification Using Autoencoder-Based Nonlinear Function Approximation and a Deep Neural Network.
Sensors, 2020
Sensors, 2020
A Reliable Fault Diagnosis Method for a Gearbox System with Varying Rotational Speeds.
Sensors, 2020
The Enhancement of Leak Detection Performance for Water Pipelines through the Renovation of Training Data.
Sensors, 2020
A Multitask-Aided Transfer Learning-Based Diagnostic Framework for Bearings under Inconsistent Working Conditions.
Sensors, 2020
Performance Degradation Assessment of Concrete Beams Based on Acoustic Emission Burst Features and Mahalanobis - Taguchi System.
Sensors, 2020
Robot manipulator active fault-tolerant control using a machine learning-based automated robust hybrid observer.
J. Intell. Fuzzy Syst., 2020
J. Intell. Fuzzy Syst., 2020
Pressure Vessel Diagnosis by Eliminating Undesired Signal Sources and Incorporating GA-Based Fault Feature Evaluation.
IEEE Access, 2020
IEEE Access, 2020
Multistage Centrifugal Pump Fault Diagnosis by Selecting Fault Characteristic Modes of Vibration and Using Pearson Linear Discriminant Analysis.
IEEE Access, 2020
Fault Identification of Multi-level Gear Defects Using Adaptive Noise Control and a Genetic Algorithm.
Proceedings of the Intelligent Human Computer Interaction, 2020
2019
Vision-Based Autonomous Crack Detection of Concrete Structures Using a Fully Convolutional Encoder-Decoder Network.
Sensors, 2019
Reliable multiple combined fault diagnosis of bearings using heterogeneous feature models and multiclass support vector Machines.
Reliab. Eng. Syst. Saf., 2019
A reliable technique for remaining useful life estimation of rolling element bearings using dynamic regression models.
Reliab. Eng. Syst. Saf., 2019
Optimization of Pipelined Discrete Wavelet Packet Transform Based on an Efficient Transpose Form and an Advanced Functional Sharing Technique.
J. Inf. Process. Syst., 2019
Improving the Performance of Storage Tank Fault Diagnosis by Removing Unwanted Components and Utilizing Wavelet-Based Features.
Entropy, 2019
Automated bearing fault diagnosis scheme using 2D representation of wavelet packet transform and deep convolutional neural network.
Comput. Ind., 2019
An Improved Algorithm for Selecting IMF Components in Ensemble Empirical Mode Decomposition for Domain of Rub-Impact Fault Diagnosis.
IEEE Access, 2019
Deep Convolutional Neural Network with 2D Spectral Energy Maps for Fault Diagnosis of Gearboxes Under Variable Speed.
Proceedings of the Pattern Recognition and Artificial Intelligence, 2019
Leakage Classification Based on Improved Kullback-Leibler Separation in Water Pipelines.
Proceedings of the Future Data and Security Engineering - 6th International Conference, 2019
2018
A Hybrid Prognostics Technique for Rolling Element Bearings Using Adaptive Predictive Models.
IEEE Trans. Ind. Electron., 2018
Improvement of Risk Assessment Using Numerical Analysis for an Offshore Plant Dipole Antenna.
Symmetry, 2018
Reliable fault diagnosis of bearings with varying rotational speeds using envelope spectrum and convolution neural networks.
Soft Comput., 2018
Rub-Impact Fault Diagnosis Using an Effective IMF Selection Technique in Ensemble Empirical Mode Decomposition and Hybrid Feature Models.
Sensors, 2018
Bearing Fault Diagnosis Using an Extended Variable Structure Feedback Linearization Observer.
Sensors, 2018
Bearing Fault Diagnosis by a Robust Higher-Order Super-Twisting Sliding Mode Observer.
Sensors, 2018
Optimal Sub-Band Analysis Based on the Envelope Power Spectrum for Effective Fault Detection in Bearing under Variable, Low Speeds.
Sensors, 2018
Crack Classification of a Pressure Vessel Using Feature Selection and Deep Learning Methods.
Sensors, 2018
Non-Mutually Exclusive Deep Neural Network Classifier for Combined Modes of Bearing Fault Diagnosis.
Sensors, 2018
Robust Composite High-Order Super-Twisting Sliding Mode Control of Robot Manipulators.
Robotics, 2018
A high-performance, resource-efficient, reconfigurable parallel-pipelined FFT processor for FPGA platforms.
Microprocess. Microsystems, 2018
Application Characteristics-Aware Sporadic Cache Bypassing for high performance GPGPUs.
J. Parallel Distributed Comput., 2018
Texture analysis based feature extraction using Gabor filter and SVD for reliable fault diagnosis of an induction motor.
Int. J. Inf. Technol. Manag., 2018
Leakage Detection of a Boiler Tube Using a Genetic Algorithm-like Method and Support Vector Machines.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018
An Improved Gas Classification Technique Using New Features and Support Vector Machines.
Proceedings of the Tenth International Conference on Soft Computing and Pattern Recognition, 2018
Proceedings of the Parallel and Distributed Computing, 2018
Proceedings of the Parallel and Distributed Computing, 2018
Proceedings of the Parallel and Distributed Computing, 2018
Intelligent Rub-Impact Fault Diagnosis Based on Genetic Algorithm-Based IMF Selection in Ensemble Empirical Mode Decomposition and Diverse Features Models.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2018, 2018
Separability Index-Based Feature Selection and a Two-Tier Classifier for Improving Diagnostic Performance in Bearings.
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
Proceedings of the Image and Signal Processing - 8th International Conference, 2018
An Effective Envelope Analysis Using Gaussian Windows for Evaluation of Fault Severity in Bearing.
Proceedings of the Information Science and Applications 2018, 2018
Towards bearing health prognosis using generative adversarial networks: Modeling bearing degradation.
Proceedings of the International Conference on Advancements in Computational Sciences, 2018
Development of an Intelligent Diagnosis System for Detecting Leakage of Circulating Fluidized Bed Boiler Tubes.
Proceedings of the Hybrid Intelligent Systems, 2018
An Intelligent Data Acquisition and Control System for Simulating the Detection of Pipeline Leakage.
Proceedings of the Hybrid Intelligent Systems, 2018
Proceedings of the Hybrid Intelligent Systems, 2018
Motor Bearing Fault Diagnosis Using Deep Convolutional Neural Networks with 2D Analysis of Vibration Signal.
Proceedings of the Advances in Artificial Intelligence, 2018
2017
Bearing Fault Diagnosis under Variable Speed Using Convolutional Neural Networks and the Stochastic Diagonal Levenberg-Marquardt Algorithm.
Sensors, 2017
Sensors, 2017
Microprocess. Microsystems, 2017
A video-based smoke detection using smoke flow pattern and spatial-temporal energy analyses for alarm systems.
Inf. Sci., 2017
CoRR, 2017
Proceedings of the Robot Intelligence Technology and Applications 5, 2017
Proceedings of the Multi-disciplinary Trends in Artificial Intelligence, 2017
Bearing Fault Diagnosis Based on Convolutional Neural Networks with Kurtogram Representation of Acoustic Emission Signals.
Proceedings of the Advances in Computer Science and Ubiquitous Computing, 2017
An FPGA-Based Implementation of a Pipelined FFT Processor for High-Speed Signal Processing Applications.
Proceedings of the Applied Reconfigurable Computing - 13th International Symposium, 2017
Quantitative Assessment of Heart Function: A Hybrid Mechanism for Left Ventricle Segmentation from Cine MRI Sequences.
Proceedings of the Artificial Life and Computational Intelligence, 2017
A Hybrid Feature Selection Scheme Based on Local Compactness and Global Separability for Improving Roller Bearing Diagnostic Performance.
Proceedings of the Artificial Life and Computational Intelligence, 2017
Reliable Fault Diagnosis of Bearings Using Distance and Density Similarity on an Enhanced k-NN.
Proceedings of the Artificial Life and Computational Intelligence, 2017
2016
NTB branch predictor: dynamic branch predictor for high-performance embedded processors.
J. Supercomput., 2016
A Massively Parallel Approach to Real-Time Bearing Fault Detection Using Sub-Band Analysis on an FPGA-Based Multicore System.
IEEE Trans. Ind. Electron., 2016
A Hybrid Feature Selection Scheme for Reducing Diagnostic Performance Deterioration Caused by Outliers in Data-Driven Diagnostics.
IEEE Trans. Ind. Electron., 2016
Accelerating IP routing algorithm using graphics processing unit for high speed multimedia communication.
Multim. Tools Appl., 2016
Accelerating the formant synthesis of haegeum sounds using a general-purpose graphics processing unit.
Multim. Tools Appl., 2016
Discriminant Feature Distribution Analysis-Based Hybrid Feature Selection for Online Bearing Fault Diagnosis in Induction Motors.
J. Sensors, 2016
Adaptive ECG denoising using genetic algorithm-based thresholding and ensemble empirical mode decomposition.
Inf. Sci., 2016
Acoustic Emission Sensor Network Based Fault Diagnosis of Induction Motors Using a Gabor Filter and Multiclass Support Vector Machines.
Ad Hoc Sens. Wirel. Networks, 2016
Protocols and Mechanisms to Recover Failed Packets in Wireless Networks: History and Evolution.
IEEE Access, 2016
Accelerating Envelope Analysis-Based Fault Diagnosis Using a General-Purpose Graphics Processing Unit.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016
A New Fault Classification Scheme Using Vibration Signal Signatures and the Mahalanobis Distance.
Proceedings of the Integrated Uncertainty in Knowledge Modelling and Decision Making, 2016
Multi-core Accelerated Discriminant Feature Selection for Real-Time Bearing Fault Diagnosis.
Proceedings of the Trends in Applied Knowledge-Based Systems and Data Science, 2016
A Sequential <i>k</i>-Nearest Neighbor Classification Approach for Data-Driven Fault Diagnosis Using Distance- and Density-Based Affinity Measures.
Proceedings of the Data Mining and Big Data, First International Conference, 2016
2015
An optimal many-core model-based supercomputing for accelerating video-equipped fire detection.
J. Supercomput., 2015
A fast and energy-efficient Hamming decoder for software-defined radio using graphics processing units.
J. Supercomput., 2015
Time-Varying and Multiresolution Envelope Analysis and Discriminative Feature Analysis for Bearing Fault Diagnosis.
IEEE Trans. Ind. Electron., 2015
An FPGA-Based Multicore System for Real-Time Bearing Fault Diagnosis Using Ultrasampling Rate AE Signals.
IEEE Trans. Ind. Electron., 2015
A new cache replacement algorithm for last-level caches by exploiting tag-distance correlation of cache lines.
Microprocess. Microsystems, 2015
Computationally efficient implementation of a Hamming code decoder using graphics processing unit.
J. Commun. Networks, 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].
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].
Inf. Sci., 2015
Reliable fault diagnosis for incipient low-speed bearings using fault feature analysis based on a binary bat algorithm.
Inf. Sci., 2015
Robust condition monitoring of rolling element bearings using de-noising and envelope analysis with signal decomposition techniques.
Expert Syst. Appl., 2015
A GPU-based (8, 4) Hamming decoder for secure transmission of watermarked medical images.
Clust. Comput., 2015
Clust. Comput., 2015
Real-time and energy-efficient bearing fault diagnosis using discriminative wavelet-based fault features on a multi-core system.
Proceedings of the 2015 IEEE Conference on Prognostics and Health Management, 2015
Multi-fault Diagnosis of Roller Bearings Using Support Vector Machines with an Improved Decision Strategy.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
Maximum Class Separability-Based Discriminant Feature Selection Using a GA for Reliable Fault Diagnosis of Induction Motors.
Proceedings of the Advanced Intelligent Computing Theories and Applications, 2015
2014
A shortly connected mesh topology for high performance and energy efficient network-on-chip architectures.
J. Supercomput., 2014
Concurrent warp execution: improving performance of GPU-likely SIMD architecture by increasing resource utilization.
J. Supercomput., 2014
Accelerating Extended Hamming Code Decoders on Graphic Processing Units for High Speed Communication.
IEICE Trans. Commun., 2014
Proceedings of the PRICAI 2014: Trends in Artificial Intelligence, 2014
Proceedings of the 2014 International Conference on IT Convergence and Security, 2014
Early Fire Detection Using Multi-Stage Pattern Recognition Techniques in Video Sequences.
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014
Implementation of a Multi-core Prototyping System for a Video-Based Fire Detection Algorithm.
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014
Fault Classification of an Induction Motor Using Texture Features of Vibration Signals.
Proceedings of the Frontier and Innovation in Future Computing and Communications, 2014
Fuzzy C-means clustering with spatially weighted information for medical image segmentation.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014
Reliable condition monitoring of an induction motor using a genetic algorithm based method.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014
2013
An Analysis of Reducing Communication Delay in Network-on-Chip Interconnect Architecture.
Wirel. Pers. Commun., 2013
An efficient scheduling scheme using estimated execution time for heterogeneous computing systems.
J. Supercomput., 2013
IEEE Trans. Image Process., 2013
Highly reliable state monitoring system for induction motors using dominant features in a two-dimension vibration signal.
New Rev. Hypermedia Multim., 2013
Multim. Tools Appl., 2013
An analysis of content-based classification of audio signals using a fuzzy c-means algorithm.
Multim. Tools Appl., 2013
An enhanced motion estimation approach using a genetic trail bounded approximation for H.264/AVC codecs.
Multim. Tools Appl., 2013
Design space exploration in many-core processors for sound synthesis of plucked string instruments.
J. Parallel Distributed Comput., 2013
Proceedings of the Mobile, Ubiquitous, and Intelligent Computing, 2013
Proceedings of the Mobile, Ubiquitous, and Intelligent Computing, 2013
Proceedings of the Mobile, Ubiquitous, and Intelligent Computing, 2013
2012
Fire flame detection in video sequences using multi-stage pattern recognition techniques.
Eng. Appl. Artif. Intell., 2012
2011
J. Signal Process. Syst., 2011
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
Audio Segmentation and Classification Using a Temporally Weighted Fuzzy C-Means Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2011, 2011
High-Performance Video Based Fire Detection Algorithms Using a Multi-core Architecture.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2011
Implementation of High-Performance Sound Synthesis Engine for Plucked-String Instruments.
Proceedings of the Advanced Intelligent Computing - 7th International Conference, 2011
Proceedings of the Computational Science and Its Applications - ICCSA 2011, 2011
Enhanced Edge Localization and Gradient Directional Masking for Moving Object Detection.
Proceedings of the Signal Processing, Image Processing and Pattern Recognition, 2011
Robust Audio Watermarking Scheme Based on Short Time Fourier Transformation and Singular Value Decomposition.
Proceedings of the Security Technology, 2011
Proceedings of the Control and Automation, and Energy System Engineering, 2011
2010
IET Comput. Digit. Tech., 2010
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2010
Impact of Multimedia Extensions for Different Processing Element Granularities on an Embedded Imaging System.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2010
An Efficient Audio Watermarking Algorithm in Frequency Domain for Copyright Protection.
Proceedings of the Security Technology, Disaster Recovery and Business Continuity, 2010
Proceedings of the Security Technology, Disaster Recovery and Business Continuity, 2010
Proceedings of the Fifth IEEE International Symposium on Electronic Design, 2010
Performance Evaluation of Multimedia Extensions on Variable Many-Core Processors.
Proceedings of the 2010 International Conference on Computer Design, 2010
Thermal-aware Duplicated Filter Cache for Improving Processor Reliability.
Proceedings of the 2010 International Conference on Computer Design, 2010
2009
Proceedings of the 10th ACIS International Conference on Software Engineering, 2009
Real-Time Sound Synthesis of Plucked String Instruments Using a Data Parallel Architecture.
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009
Proceedings of the Emerging Intelligent Computing Technology and Applications, 2009
A Massively Parallel Approach to Affine Transformataion in Medical Image Registration.
Proceedings of the 11th IEEE International Conference on High Performance Computing and Communications, 2009
Proceedings of the FUZZ-IEEE 2009, 2009
2008
Proceedings of the Advances in Visual Computing, 4th International Symposium, 2008
Proceedings of the 3rd IEEE Asia-Pacific Services Computing Conference, 2008
The Impact of Multimedia Extensions for Multimedia Applications on Mobile Computing Systems.
Proceedings of the Computer-Human Interaction, 8th Asia-Pacific Conference, 2008
2005
PhD thesis, 2005
Effective detection and elimination of impulse noise for reliable 4: 2: 0 YCbCr signals prior to compression encoding.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005
Implementing and Evaluating Color-Aware Instruction Set for Low-Memory, Embedded Video Processing in Data Parallel Architectures.
Proceedings of the Embedded and Ubiquitous Computing, 2005
Determining Optimal Grain Size for Efficient Vector Processing on SIMD Image Processing Architectures.
Proceedings of the Advances in Computer Systems Architecture, 10th Asia-Pacific Conference, 2005
Proceedings of the Advances in Computer Systems Architecture, 10th Asia-Pacific Conference, 2005
2004
Efficient Processing of Color Image Sequences Using a Color-Aware Instruction Set on Mobile Systems.
Proceedings of the 15th IEEE International Conference on Application-Specific Systems, 2004
2003
Proceedings of the 2003 International Symposium on Information Technology (ITCC 2003), 2003
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003
2002
Proceedings of the 14th International Conference on Digital Signal Processing, 2002
2001
IEEE Trans. Educ., 2001