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Deok-Hwan Kim
Person information
- affiliation: Inha University, Incheon, South Korea
- affiliation (PhD 2003): Korea Advanced Institute of Science and Technology, Daejeon, South Korea
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2020 – today
- 2024
- [j45]Hyunjun Jo
, Deok-Hwan Kim
Intrusion Detection Using Transformer in Controller Area Network. IEEE Access 12: 121932-121946 (2024) - [j44]Jong-Ho Won, Deok-Hwan Kim:
Metric-Based Few-Shot Transfer Learning Approach for Voice Pathology Detection. IEEE Access 12: 159226-159238 (2024) - [j43]Dohee Kang
Beyond superficial emotion recognition: Modality-adaptive emotion recognition system. Expert Syst. Appl. 235: 121097 (2024) - [j42]Shan Ullah, Mehdi Pirahandeh
Self-attention deep ConvLSTM with sparse-learned channel dependencies for wearable sensor-based human activity recognition. Neurocomputing 571: 127157 (2024) - [j41]Shan Ullah
Multiaccent EMG-to-Speech Optimized Transduction With PerFL and MAML Adaptations. IEEE Trans. Instrum. Meas. 73: 1-17 (2024) - [c35]Shan Ullah, Deok-Hwan Kim:
An Optimized EMG Encoder to Minimize Soft Speech Loss for Speech to EMG Conversions. BigComp 2024: 215-218 - 2023
- [j40]Jeong-Geun Lee, Deok-Hwan Kim
Proactive Fault Diagnosis of a Radiator: A Combination of Gaussian Mixture Model and LSTM Autoencoder. Sensors 23(21): 8688 (2023) - [j39]Khikmatullo Tulkinbekov, Deok-Hwan Kim
Data Modifications in Blockchain Architecture for Big-Data Processing. Sensors 23(21): 8762 (2023) - [c34]Khikmatullo Tulkinbekov, Deok-Hwan Kim:
Data Collection Framework Using a Lightweight Blockchain. ICEIC 2023: 1-4 - 2022
- [j38]Dong-Hyun Kang, Deok-Hwan Kim
1D Convolutional Autoencoder-Based PPG and GSR Signals for Real-Time Emotion Classification. IEEE Access 10: 91332-91345 (2022) - [j37]Miran Lee, Joo-Ho Lee, Deok-Hwan Kim
Gender recognition using optimal gait feature based on recursive feature elimination in normal walking. Expert Syst. Appl. 189: 116040 (2022) - [j36]Mehdi Pirahandeh
MS scheduler: New, scalable, and high-performance sparse AVX-2 parity encoding and decoding technique for erasure-coded cloud storage systems. Future Gener. Comput. Syst. 126: 123-135 (2022) - [j35]Woohyun Hwang, Dong-Hyun Kang, Deok-Hwan Kim
Brain lateralisation feature extraction and ant colony optimisation-bidirectional LSTM network model for emotion recognition. IET Signal Process. 16(1): 45-61 (2022) - [j34]Khikmatullo Tulkinbekov
Blockchain-Enabled Approach for Big Data Processing in Edge Computing. IEEE Internet Things J. 9(19): 18473-18486 (2022) - [c33]Shan Ullah, Deok-Hwan Kim:
Federated Learning convergence on IID features via optimized local model parameters. BigComp 2022: 92-95 - 2021
- [j33]Shan Ullah
Federated Learning Using Sparse-Adaptive Model Selection for Embedded Edge Computing. IEEE Access 9: 167868-167879 (2021) - [j32]Joohwan Kim, Shan Ullah, Deok-Hwan Kim
GPU-based embedded edge server configuration and offloading for a neural network service. J. Supercomput. 77(8): 8593-8621 (2021) - [c32]Shan Ullah, Deok-Hwan Kim:
Sparse Feature Learning for Human Activity Recognition. BigComp 2021: 309-312 - [c31]Khikmatullo Tulkinbekov, Deok-Hwan Kim:
Storing Blockchain Data in Public Storage. ICUFN 2021: 299-301 - 2020
- [j31]Khikmatullo Tulkinbekov
CaseDB: Lightweight Key-Value Store for Edge Computing Environment. IEEE Access 8: 149775-149786 (2020) - [j30]Dong-Yoon Choi
Multimodal Attention Network for Continuous-Time Emotion Recognition Using Video and EEG Signals. IEEE Access 8: 203814-203826 (2020) - [j29]Shan Ullah, Deok-Hwan Kim
Lightweight Driver Behavior Identification Model with Sparse Learning on In-Vehicle CAN-BUS Sensor Data. Sensors 20(18): 5030 (2020) - [c30]Shan Ullah, Deok-Hwan Kim:
Benchmarking Jetson Platform for 3D Point-Cloud and Hyper-Spectral Image Classification. BigComp 2020: 477-482
2010 – 2019
- 2019
- [j28]Mehdi Pirahandeh
Energy-aware RAID scheduling methods in distributed storage applications. Clust. Comput. 22(2): 445-454 (2019) - [j27]Jae-Hwan Ryu
EOG-based eye tracking protocol using baseline drift removal algorithm for long-term eye movement detection. Expert Syst. Appl. 131: 275-287 (2019) - [c29]Khikmatullo Tulkinbekov, Mehdi Pirahandeh
CLeveldb: Coalesced Leveldb for Small Data. ICUFN 2019: 567-569 - 2018
- [j26]Tae-Geon Song, Mehdi Pirahandeh
GPU-accelerated high-performance encoding and decoding of hierarchical RAID in virtual machines. J. Supercomput. 74(11): 5865-5888 (2018) - [c28]Miran Lee, Inchan Youn, Jae-Hwan Ryu, Deok-Hwan Kim:
Classification of Both Seizure and Non-Seizure Based on EEG Signals Using Hidden Markov Model. BigComp 2018: 469-474 - [c27]Mehdi Pirahandeh
EGE: A New Energy-Aware GPU Based Erasure Coding Scheduler for Cloud Storage Systems. ICUFN 2018: 619-621 - 2017
- [j25]Mehdi Pirahandeh
High performance GPU-based parity computing scheduler in storage applications. Concurr. Comput. Pract. Exp. 29(4) (2017) - [j24]Jae-Hwan Ryu, Deok-Hwan Kim:
Real-time gait subphase detection using an EMG signal graph matching (ESGM) algorithm based on EMG signals. Expert Syst. Appl. 85: 357-365 (2017) - [j23]Mehdi Pirahandeh
Energy-aware and intelligent storage features for multimedia devices in smart classroom. Multim. Tools Appl. 76(1): 1139-1157 (2017) - [j22]Jae-Hwan Ryu, Byeong-Hyeon Lee, Deok-Hwan Kim
sEMG Signal-Based Lower Limb Human Motion Detection Using a Top and Slope Feature Extraction Algorithm. IEEE Signal Process. Lett. 24(7): 929-932 (2017) - 2016
- [j21]Huiseong Heo, Cheong-Jin Ahn, Deok-Hwan Kim:
Parity Data De-Duplication in All Flash Array-Based OpenStack Cloud Block Storage. IEICE Trans. Inf. Syst. 99-D(5): 1384-1387 (2016) - [c26]Tae-Gun Song, Mehdi Pirahandeh
Hierarchical RAID's parity generation using pass-through GPU in multi virtual-machine environment. BigComp 2016: 386-389 - [c25]Byeong-Hyeon Lee, Tae-Geon Song, Deok-Hwan Kim:
Block storage scheduling based on SLA in cloud storage systems. EDB 2016: 72-76 - [c24]Jae-Hwan Ryu, Byeong-Hyeon Lee, Deok-Hwan Kim:
EMG signal-based gait phase recognition using a GPES library and ISMF. EMBC 2016: 2003-2006 - [c23]Mehdi Pirahandeh
Delta RAID to Enhance Recovery and Small-Write Performance of RAID Storages. UIC/ATC/ScalCom/CBDCom/IoP/SmartWorld 2016: 1228 - 2015
- [j20]Md. Zia Uddin, Deok-Hwan Kim, Tae-Seong Kim:
A human activity recognition system using hmms with gda on enhanced independent component features. Int. Arab J. Inf. Technol. 12(3): 304-310 (2015) - [c22]Kwangsoo Lee, Huiseong Heo, Teagun Song, Deok-Hwan Kim:
Erasure Codes Encoding Performance Enhancing Techniques Using GPGPU Based Non-sparse Coding Vector in Storage Systems. CSA/CUTE 2015: 819-824 - 2014
- [j19]Byoung-Hoon Lee, Deok-Hwan Kim, Sang-Min Lee:
User Adaptive and Fair Broadcasting in an Error-prone Environment. Intell. Autom. Soft Comput. 20(3): 319-334 (2014) - [c21]Mehdi Pirahandeh
Energy-aware erasure codes using XOR Reference Matrix for SSD based RAID systems. BigComp 2014: 121-122 - [c20]Jae-Hwan Ryu, Deok-Hwan Kim:
Multiple gait phase recognition using boosted classifiers based on sEMG signal and classification matrix. ICUIMC 2014: 90:1-90:4 - 2012
- [j18]Muhammad A. Hasan, Seok-Lyong Lee, Deok-Hwan Kim, Myung-Kwan Lim:
Automatic evaluation of cardiac hypertrophy using cardiothoracic area ratio in chest radiograph images. Comput. Methods Programs Biomed. 105(2): 95-108 (2012) - [j17]Khairul Muzzammil Saipullah
A robust texture feature extraction using the localized angular phase. Multim. Tools Appl. 59(3): 717-747 (2012) - [j16]Byoung-Hoon Lee, Deok-Hwan Kim:
Efficient context-aware selection based on user feedback. IEEE Trans. Consumer Electron. 58(3): 978-984 (2012) - [c19]Jae-Hwan Yu, Byoung-Hoon Lee, Deok-Hwan Kim:
EOG based eye movement measure of visual fatigue caused by 2D and 3D displays. BHI 2012: 305-308 - 2011
- [j15]Yongkwon Kim, Chin-Wan Chung, Seok-Lyong Lee, Deok-Hwan Kim:
Distance approximation techniques to reduce the dimensionality for multimedia databases. Knowl. Inf. Syst. 28(1): 227-248 (2011) - [c18]Khairul Muzzammil Saipullah
Rotation invariant texture feature extraction based on Sorted Neighborhood Differences. ICME 2011: 1-6 - 2010
- [j14]Shao-Hu Peng, Deok-Hwan Kim, Seok-Lyong Lee, Myung-Kwan Lim:
Texture feature extraction based on a uniformity estimation method for local brightness and structure in chest CT images. Comput. Biol. Medicine 40(11-12): 931-942 (2010) - [j13]Deok-Hwan Kim, Kwang-Jae Kim, K. Sam Park:
Compromising prioritization from pairwise comparisons considering type I and II errors. Eur. J. Oper. Res. 204(2): 285-293 (2010) - [j12]Shao-Hu Peng, Deok-Hwan Kim, Seok-Lyong Lee, Chin-Wan Chung:
A visual shape descriptor using sectors and shape context of contour lines. Inf. Sci. 180(16): 2925-2939 (2010) - [c17]Shao-Hu Peng, Khairul Muzzammil Saipullah, Deok-Hwan Kim:
Robust feature detection based on local variation for image retrieval. ICIP 2010: 1033-1036
2000 – 2009
- 2009
- [j11]Deok-Hwan Kim, Kwang-Jae Kim:
Robustness indices and robust prioritization in QFD. Expert Syst. Appl. 36(2): 2651-2658 (2009) - [j10]Deok-Hwan Kim:
Image Recommendation Algorithm Using Feature-Based Collaborative Filtering. IEICE Trans. Inf. Syst. 92-D(3): 413-421 (2009) - [c16]Chung-Ho Noh, Seok-Lyong Lee, Deok-Hwan Kim, Chin-Wan Chung:
Effective defect classification for flat display panel film images. ICHIT 2009: 264-267 - 2008
- [j9]Kye-Hwan Lee, Sang-Ick Kang, Deok-Hwan Kim, Joon-Hyuk Chang:
A Support Vector Machine-Based Gender Identification Using Speech Signal. IEICE Trans. Commun. 91-B(10): 3326-3329 (2008) - [j8]Bumghi Choi, Ju-Hong Lee, Deok-Hwan Kim:
Solving local minima problem with large number of hidden nodes on two-layered feed-forward artificial neural networks. Neurocomputing 71(16-18): 3640-3643 (2008) - [j7]Deok-Hwan Kim, Seung-Hoon Yu:
A new region filtering and region weighting approach to relevance feedback in content-based image retrieval. J. Syst. Softw. 81(9): 1525-1538 (2008) - 2007
- [j6]Kwang-Jae Kim, Deok-Hwan Kim, Dae-Kee Min:
Robust QFD: framework and a case study. Qual. Reliab. Eng. Int. 23(1): 31-44 (2007) - [c15]Sang Ho Park, Ju-Hong Lee, Deok-Hwan Kim:
Spatial Clustering Based on Moving Distance in the Presence of Obstacles. DASFAA 2007: 1024-1027 - [c14]Seok-Lyong Lee, Deok-Hwan Kim:
Effective Pattern Similarity Match for Multidimensional Sequence Data Sets. International Conference on Computational Science (1) 2007: 204-212 - [c13]Chan-Min Ahn, Jae-Hyun You, Ju-Hong Lee, Deok-Hwan Kim:
Effective Spatial Characterization System Using Density-Based Clustering. International Conference on Computational Science (2) 2007: 515-522 - [c12]Tae-Soon Kim, Ju-Hong Lee, Jae-Won Song, Deok-Hwan Kim:
Similarity Measurement of XML Documents Based on Structure and Contents. International Conference on Computational Science (3) 2007: 902-905 - [c11]Deok-Hwan Kim, Jae-Won Song, Ju-Hong Lee:
A Hybrid Region Weighting Approach for Relevance Feedback in Region-Based Image Search on the Web. SOFSEM (1) 2007: 705-715 - [c10]Sun Park, Ju-Hong Lee, Deok-Hwan Kim, Chan-Min Ahn:
Multi-document Summarization Based on Cluster Using Non-negative Matrix Factorization. SOFSEM (1) 2007: 761-770 - [c9]Sun Park, Ju-Hong Lee, Deok-Hwan Kim, Chan-Min Ahn:
Multi-document Summarization Using Weighted Similarity Between Topic and Clustering-Based Non-negative Semantic Feature. APWeb/WAIM 2007: 108-115 - 2006
- [c8]Tae-Su Park, Ju-Hong Lee, Sang Ho Park, Bumghi Choi, Deok-Hwan Kim:
Search Method of Time Sensitive Frequent Itemsets in Data Streams. CIARP 2006: 511-518 - [c7]Kyungmee Choi, Deok-Hwan Kim, Taeryon Choi:
Estimating the Number of Clusters Using Multivariate Location Test Statistics. FSKD 2006: 373-382 - [c6]Deok-Hwan Kim, Seok-Lyong Lee:
Relevance Feedback Using Adaptive Clustering for Region Based Image Similarity Retrieval. PRICAI 2006: 641-650 - 2005
- [j5]Deok-Hwan Kim, Chin-Wan Chung, Kobus Barnard
Relevance feedback using adaptive clustering for image similarity retrieval. J. Syst. Softw. 78(1): 9-23 (2005) - [c5]Deok-Hwan Kim, Chan Young Kim, Yoon Ho Cho:
Automatic Generation of the Initial Query Set for CBIR on the Mobile Web. PCM (1) 2005: 957-968 - 2004
- [j4]Chan Young Kim, Jae Kyu Lee, Yoon Ho Cho, Deok-Hwan Kim:
VISCORS: A Visual-Content Recommender for the Mobile Web. IEEE Intell. Syst. 19(6): 32-39 (2004) - [c4]Yoon Ho Cho, Chan Young Kim, Deok-Hwan Kim:
Personalized Image Recommendation in the Mobile Internet. PRICAI 2004: 963-964 - 2003
- [j3]Deok-Hwan Kim, Chin-Wan Chung:
Collection fusion using Bayesian estimation of a linear regression model in image databases on the Web. Inf. Process. Manag. 39(2): 267-285 (2003) - [c3]Deok-Hwan Kim, Chin-Wan Chung:
Qcluster: Relevance Feedback Using Adaptive Clustering for Content-Based Image Retrieval. SIGMOD Conference 2003: 599-610 - 2002
- [j2]Deok-Hwan Kim, Seok-Lyong Lee, Chin-Wan Chung:
Heterogeneous image database selection on the Web. J. Syst. Softw. 64(2): 131-149 (2002) - 2000
- [j1]Ju-Hong Lee, Deok-Hwan Kim, Seok-Lyong Lee, Chin-Wan Chung, Guang-Ho Cha:
Distributed similarity search algorithm in distributed heterogeneous multimedia databases. Inf. Process. Lett. 75(1-2): 35-42 (2000) - [c2]Seok-Lyong Lee, Seok-Ju Chun, Deok-Hwan Kim, Ju-Hong Lee, Chin-Wan Chung:
Similarity Search for Multidimensional Data Sequences. ICDE 2000: 599-608
1990 – 1999
- 1999
- [c1]Ju-Hong Lee, Deok-Hwan Kim, Chin-Wan Chung:
Multi-dimensional Selectivity Estimation Using Compressed Histogram Information. SIGMOD Conference 1999: 205-214
Coauthor Index
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