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Reduced RBF Centers Based Multiuser Detection in DS-CDMA System
이정식,화재정,박지연,Lee, Jung-Sik,Hwang, Jae-Jeong,Park, Chi-Yeon The Korea Institute of Information and Commucation 2006 韓國通信學會論文誌 Vol.31 No.11C
The major goal of this paper is to develop a practically implemental radial basis function (RBF) neural network based multi-user detector (MUD) for direct sequence (DS)-CDMA system. This work is expected to provide an efficient solution for RBF based MUD by quickly setting up the proper number of RBF centers and their locations required in training. The basic idea in this research is to estimate all the possible RBF centers by using supervised ${\kappa-means$ clustering technique, and select the only centers which locate near seemingly decision boundary between centers, and reduce further by grouping the some of centers adjacent each other. Therefore, it reduces the computational burden for finding the proper number of RBF centers and their locations in the existing RBF based MUD, and ultimately, make its implementation practical.
투명표본(透明標本)에 의(依)한 상악제이구치(上顎第二臼齒)의 근관형태(根管形態)에 대(對)한 연구(硏究)
이정식,Lee, Jeong-Sik 대한치과보존학회 1980 Restorative Dentistry & Endodontics Vol.6 No.1
Fifty human maxillary second molars were injected with china ink, decalcified, cleared, and used in vitro study to determine the number of root canals, the frequency and location of lateral canals, canals per root, and frequency of apical deltas. The results were as follows. 1. The mesiobuccal root was found to contain a single primary canal in 62% of the teeth studied and two canals in 38% of the teeth studied. 2. In mesiobuccal roots with two canals, the seperated apical foramen appeared 24% of the specimens and the common apical foramen 14% of the specimens. 3. Of the 169 canals studied, 23.1% of the canals were found to contain lateral canals and these ramifications were mainly located in the apical third of the root.
Multi-User Detection using Support Vector Machines
이정식,이재완,황재정,정경택,Lee, Jung-Sik,Lee, Jae-Wan,Hwang, Jae-Jeong,Chung, Kyung-Taek The Korea Institute of Information and Commucation 2009 韓國通信學會論文誌 Vol.34 No.12
In this paper, support vector machines (SVM) are applied to multi-user detector (MUD) for direct sequence (DS)-CDMA system. This work shows an analytical performance of SVM based multi-user detector with some of kernel functions, such as linear, sigmoid, and Gaussian. The basic idea in SVM based training is to select the proper number of support vectors by maximizing the margin between two different classes. In simulation studies, the performance of SVM based MUD with different kernel functions is compared in terms of the number of selected support vectors, their corresponding decision boundary, and finally the bit error rate. It was found that controlling parameter, in SVM training have an effect, in some degree, to SVM based MUD with both sigmoid and Gaussian kernel. It is shown that SVM based MUD with Gaussian kernels outperforms those with other kernels.