Yonggwan Won

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 7

Top Topics

Total Hip Arthroplasty

Correlation Analysis

Top Venues

Multim. Tools Appl.

Biomed. Signal Process. Control.

Publications

Rayoung Park, Heonzoo Lee, Tan Loc Nguyen, Sejin Kim, Yonggwan Won
A Fast and Simple Method for Sleep Breathing Cycle Segmentation in Time Domain. IMCOM (2024)
Jinsul Kim, Yonggwan Won, Changwoo Yoon, Jin-Young Kim, Sangho Park, JaeCheol Ryou, Linh Van Ma
A Context-aware adaptive algorithm for ambient intelligence DASH at mobile edge computing. J. Ambient Intell. Humaniz. Comput. 11 (4) (2020)
Hieu Trung Huynh, Yonggwan Won
Application of Regularized Online Sequential Learning for Glucose Correction. Trans. Large Scale Data Knowl. Centered Syst. 41 (2019)
Linh Van Ma, Gwanghyun Yu, Jin-Young Kim, Yonggwan Won, Jinsul Kim
An efficient transmission method based on HEVC multi-view adaptive video streaming over P2P network in NFV. J. Supercomput. 74 (12) (2018)
Hieu Trung Huynh, Ho Dac Quan, Yonggwan Won
Accuracy Improvement for Glucose Measurement in Handheld Devices by Using Neural Networks. FDSE (2017)
Tran Thi Thu Ha, Yonggwan Won, Jinsul Kim
An efficient hybrid push-pull methodology for peer-to-peer video live streaming system on mobile broadcasting social media. Multim. Tools Appl. 76 (2) (2017)
Hai-Trieu Pham, Pubudu N. Pathirana, Yonggwan Won, Saiyi Li
A summative scoring system for evaluation of human kinematic performance. Biomed. Signal Process. Control. 23 (2016)
Hai-Trieu Pham, Jung-Ja Kim, Tan Loc Nguyen, Yonggwan Won
3D motion matching algorithm using signature feature descriptor. Multim. Tools Appl. 74 (3) (2015)
Jung-Kyu Choi, Keunhwan Jeon, Yonggwan Won, Jung-Ja Kim
Application of big data analysis with decision tree for the foot disorder. Clust. Comput. 18 (4) (2015)
Tan Loc Nguyen, Yonggwan Won
Performance Comparison of Multilayer Neural Networks for Sleep Snoring Detection. ICITCS (2014)
Jung-Kyu Choi, Chan-Il Yoo, Kyung-Ah Kim, Yonggwan Won, Jung-Ja Kim
Study on Datamining Techinique for Foot Disease Prediction. ICITCS (2014)
Ji-Yong Jung, Chan-Il Yoo, Kyung-Ah Kim, Soo-Kyung Bok, Bong-Ok Kim, Yonggwan Won, Jung-Ja Kim
Evaluation of Sitting Balance in Adolescent Idiopathic Scoliosis Patients with Pelvic Rotation Using Balance Board System with Accelerometer. ICITCS (2014)
Ji-Yong Jung, Chan-Il Yoo, Kyung-Ah Kim, Soo-Kyung Bok, Bong-Ok Kim, Yonggwan Won, Jung-Ja Kim
Correlation Analysis between Idiopathic Scoliosis and Pelvic Asymmetry Using Sitting Posture Measurement System. ICITCS (2014)
Jung-Kyu Choi, Chan-Il Yoo, Kyung-Ah Kim, Yonggwan Won, Jung-Ja Kim
Evaluation of Custom-Made Insoles on Pes Cavus During Walking. ICITCS (2014)
Tran Thi Thu Ha, Jaehyung Park, Yonggwan Won, Jinsul Kim
Combining STUN Protocol and UDP Hole Punching Technique for Peer-To-Peer Communication across Network Address Translation. ICITCS (2014)
Kwang-Ki Kim, Byeong-ok Jang, Sanghyun Park, Yonggwan Won, Jinsul Kim
Mastering Signal Processing with Residual Coding Scheme in Spatial Audio Object Coding. ICISA (2013)
Sanghyun Park, Yonggwan Won, Jinsul Kim, Ilgu Jung, SengKyun Jo, Won Ryu, JongSeok Chae
A Network-Based Mobile Multicast Framework for Heterogeneous IP-Based Networks. ICISA (2013)
Hai-Trieu Pham, Yonggwan Won, Jung-Ja Kim
Controlling multi-class error rates for MLP classifier by bias adjustment based on penalty matrix. ICUIMC (2012)
Hai-Trieu Pham, Jung-Ja Kim, Yonggwan Won
A Cost Effective Method for Matching the 3D Motion Trajectories. ICITCS (2012)
Hieu Trung Huynh, Yonggwan Won
Regularized online sequential learning algorithm for single-hidden layer feedforward neural networks. Pattern Recognit. Lett. 32 (14) (2011)
Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won
DNA Microarray Classification Using Single Hidden-Layer Feedforward Networks Trained by SVD. FGIT-BSBT (2009)
Hieu Trung Huynh, Yonggwan Won
Online training for single hidden-layer feedforward neural networks using RLS-ELM. CIRA (2009)
Hieu Trung Huynh, Yonggwan Won
Extreme Learning Machine with Fuzzy Activation Function. NCM (2009)
Jung-Ja Kim, Heetaek Ceong, Yonggwan Won
Weighted Association Rule Mining for Item Groups with Different Properties and Risk Assessment for Networked Systems. IEICE Trans. Inf. Syst. (1) (2009)
Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim
Neural Networks for Estimation of Hematocrit Density from Transduced Current Curve Patterns. ICNSC (2008)
Hieu Trung Huynh, Yonggwan Won
Evolutionary algorithm for training compact single hidden layer feedforward neural networks. IJCNN (2008)
Hieu Trung Huynh, Yonggwan Won
Hematocrit estimation from compact single hidden layer feedforward neural networks trained by evolutionary algorithm. IEEE Congress on Evolutionary Computation (2008)
Hieu Trung Huynh, Yonggwan Won
Small Number of Hidden Units for ELM with Two-Stage Linear Model. IEICE Trans. Inf. Syst. (4) (2008)
Hieu Trung Huynh, Yonggwan Won, Jung-Ja Kim
An Improvement of Extreme Learning Machine for Compact Single-Hidden-Layer Feedforward Neural Networks. Int. J. Neural Syst. 18 (5) (2008)
Hieu Trung Huynh, Yonggwan Won
Weighted Least Squares Scheme for Reducing Effects of Outliers in Regression based on Extreme Learning Machine. J. Digit. Content Technol. its Appl. 2 (3) (2008)
Hieu Trung Huynh, Yonggwan Won
Decoding Cognitive States from fMRI Data Using Single Hidden-Layer Feedforward Neural Networks. NCM (1) (2008)
Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won
A Robust Online Sequential Extreme Learning Machine. ISNN (1) (2007)
Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won
Outlier Treatment for SLFNs in Classification. ICCSA Workshops (2007)
Minh-Tuan T. Hoang, Yonggwan Won, Hyung-Jeong Yang
Cognitive States Detection in fMRI using incremental P. ICCSA Workshops (2007)
Hieu Trung Huynh, Nguyen H. Vo, Minh-Tuan T. Hoang, Yonggwan Won
Performance Enhancement of RBF Networks in Classification by Removing Outliers in the Training Phase. MDAI (2007)
Minh-Tuan T. Hoang, Hieu Trung Huynh, Nguyen H. Vo, Yonggwan Won, Jung-Ja Kim
Two-Step Iterative Registration for 2D-Gel Electrophoresis Images. RIVF (2007)
Hieu Trung Huynh, Jung-Ja Kim, Yonggwan Won
DNA Microarray Classification with Compact Single Hidden-Layer FeedForward Neural Networks. FBIT (2007)
Seong-Joon Baek, Aaron Park, Sangki Kang, Yonggwan Won, Jin Young Kim, Seung You Na
Detection of Basal Cell Carcinoma Based on Gaussian Prototype Fitting of Confocal Raman Spectra. ISNN (2) (2007)
Nguyen H. Vo, Yonggwan Won
Classification of Unbalanced Medical Data with Weighted Regularized Least Squares. FBIT (2007)
Seong-Joon Baek, Aaron Park, Jin Young Kim, Seung You Na, Yonggwan Won, Jaebum Choo
Detection of Basal Cell Carcinoma by Automatic Classification of Confocal Raman Spectra. ICIC (3) (2006)
Sujeong Chang, Jaehyung Park, Yonggwan Won, Mijeong Yang, Min Young Chung
Performance Comparison of TCP Traffic over Mobile IPv4 and IPv6 Networks and a Mobile Network Deployment Approach. CIT (2005)
Jung-Ja Kim, Young-Ho Kim, Yonggwan Won
A Hybrid Classification System for Cancer Diagnosis with Proteomic Bio-markers. EPIA (2005)
Sujeong Chang, Jaehyung Park, Yonggwan Won
Evaluation on a Simple Deployment Approach of Mobile IP Networks with Dual Stack Access Routers. ICWN (2005)
Jaehyung Park, Min Young Chung, Jinsoo Kim, Yonggwan Won
A Distributed Architecture of the Indirect IP Lookup Scheme for High-Speed Routers. PDCAT (2004)
Jung-Ja Kim, Young-Ho Kim, Yonggwan Won
Proteomic Pattern Classification Using Bio-markers for Prostate Cancer Diagnosis. CIS (2004)
Mina Jeong, Jung-Ja Kim, Yonggwan Won
A Flexible Database Security System Using Multiple Access Control Policies. DEXA (2003)
Youngho Kim, Jung-Ja Kim, Yonggwan Won, Yongho In
Segmentation of Protein Spots in 2D Gel Electrophoresis Images with Watersheds Using Hierarchical Threshold. ISCIS (2003)
Doheon Lee, Jung-Ja Kim, Mina Jeong, Yonggwan Won, Seon Hee Park, Kwang Hyung Lee
Immune-Based Framework for Exploratory Bio-information Retrieval from the Semantic Web. ICARIS (2003)
Bae-Ho Lee, Kwang-Hee Kim, Yonggwan Won, Jiseung Nam
Efficient and Automatic Faces Detection Based on Skin-Tone and Neural Network Model. IEA/AIE (2002)
Yonggwan Won, Jiseung Nam, Bae-Ho Lee
Image Pattern Recognition in Natural Environment Using Morphological Feature Extraction. SSPR/SPR (2000)
Yonggwan Won, Paul D. Gader, Patrick C. Coffield
Morphological shared-weight networks with applications to automatic target recognition. IEEE Trans. Neural Networks 8 (5) (1997)
Yonggwan Won, Bae-Ho Lee, Yong-Chang Baek, Jung-Soo Lee
Shift-Invariant Fuzzy-Morphology Neural Network for Occluded Target Recognition. IWANN (1997)
Yonggwan Won, Paul D. Gader
Comparison of linear and morphological shared-weight neural networks. Electronic Imaging: Nonlinear Image Processing (1996)
Yonggwan Won, Paul D. Gader
Morphological shared-weight neural network for pattern classification and automatic target detection. ICNN (1995)
Paul D. Gader, Joseph R. Miramonti, Yonggwan Won, Patrick C. Coffield
Segmentation free shared weight networks for automatic vehicle detection. Neural Networks 8 (9) (1995)