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Chang Geun Kim
Publication Activity (10 Years)
Years Active: 1999-2013
Publications (10 Years): 0
Top Topics
Pairwise
Video Images
Computational Complexity
Top Venues
J. Inform. and Commun. Convergence Engineering
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Publications
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Chang Geun Kim
,
Soung-Gyun Kim
,
Hyun-Ju Kim
A Method for Identification of Harmful Video Images Using a 2-Dimensional Projection Map.
J. Inform. and Commun. Convergence Engineering
11 (1) (2013)
Yun-Ji Ma
,
Hyun-Chul Baek
,
Chang Geun Kim
,
Sang-Bok Kim
Prevention of DDoS Attacks for Enterprise Network Based on Traceback and Network Traffic Analysis.
J. Inform. and Commun. Convergence Engineering
7 (2) (2009)
Han Ho Tack
,
Chang Geun Kim
,
Myeong-Kyu Kim
Control of the Mobile Robot Navigation Using a New Time Sensor Fusion.
Int. J. Fuzzy Log. Intell. Syst.
4 (1) (2004)
Chang Geun Kim
,
Han Ho Tack
Design and Implementation of the Compound Noun Segmentation Algorithm Based on Statistical Information.
Int. J. Fuzzy Log. Intell. Syst.
4 (3) (2004)
Han Ho Tack
,
Chang Geun Kim
,
Shin-Chul Kang
Tele-operated Control of an Autonomous Mobile Robot Using a Virtual Force-reflection.
Int. J. Fuzzy Log. Intell. Syst.
3 (2) (2003)
Chang Geun Kim
,
Byeong-Jin Park
,
Han Ho Tack
Design and Implementation of the EEIS Considering the Load of DB Server.
Int. J. Fuzzy Log. Intell. Syst.
3 (1) (2003)
Han Ho Tack
,
Chang Geun Kim
Development of New Algorithm for RWA Problem Solution on an Optical Multi-Networks.
Int. J. Fuzzy Log. Intell. Syst.
2 (3) (2002)
Han Ho Tack
,
Chang Geun Kim
,
Myung Gyu Kim
,
Min Woo Jung
Design of globally stable robust adaptive neural networks controller for the nonlinear system.
KES
(2000)
Myung Gyu Kim
,
Han Ho Tack
,
Chang Geun Kim
The stabilization control of nonlinear complex systems using adaptive fuzzy-neuro controller.
KES
(2000)
Yeon Gyu Choo
,
Han Ho Tack
,
Chang Geun Kim
The study on position control of a flexible robot manipulator using fuzzy neural networks.
KES
(1999)
Han Ho Tack
,
Yeon Gyu Choo
,
Chang Geun Kim
,
Min Woo Jung
The stabilization control of ball-beam using self-recurrent neural networks.
KES
(1999)