• Journal of the Korean Institute of Telematics and Electronics S
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• v.35S no.11
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• pp.176-183
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• 1998

A new recognition technique using neural network coupled with Genetic Algorithms (GAs) was proposed. This technique concentrate on efficient Electromyography signal recognition through out improving neural network's several demerits. GAs paly a role of selecting Multilayer Perceptron's optimized initial connection weights by its typical global search. Electro Myography signal was pre-processed with Hidden Markov Model (HMM) in order to refect its time-varying property into input pattern except other features such as Zero Crossing Number(ZCN) and Integral Absolute Value (IAV). Results for 6 primitive motions show that the suggested technique has better performance in learning time and recognition rates than already established ordinary methods. Moreover, it performed stable recognition without convergence into a local minimum.

• Journal of KIISE:Software and Applications
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• v.30 no.5_6
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• pp.466-475
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• 2003

To build an efficient Question-Answering (QA) system, a question type classifier is needed. It can classify user's queries into predefined categories regardless of the surface form of a question. In this paper, we propose a question type classifier using a Support Vector Machine (SVM). The question type classifier first extracts features like lexical forms, part of speech and semantic markers from a user's question. The system uses $X^2$ statistic to select important features. Selected features are represented as a vector. Finally, a SVM categorizes questions into predefined categories according to the extracted features. In the experiment, the proposed system accomplished 86.4% accuracy The system precisely classifies question type without using any rules like lexico-syntactic patterns. Therefore, the system is robust and easily portable to other domains.

• Journal of Korean Society of Transportation
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• v.22 no.5
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• pp.19-33
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• 2004

신호교차로 운영 최적화를 위한 4가지 변수인 주기, 현시순서, 현시녹색시간, 옵셋 중에서 지금 지 정형화된 지침이 없이 전문가의 경험이나 휴리스틱한 규칙(Heuristic rule)에 의해 결정되었던 현시순서에 대해 다양한 교통조건을 고려하여 최적현시와 지체변화를 분석하였다. 교통조건은 독립/연동교차로, 교차로 기하구조, 비혼잡/혼잡상태, 통과교통량에 대한 좌회전 교통량비(LT/Thru)에 따라 Dual ring에서 구현가능한 모든 현시순서를 대상으로 최적현시를 도출하였다. 분석과정에서 비혼잡상태의 경우 LT/Thru가 작을수록 직진 중첩 동시신호가 가장 우수하게 나왔으며, LT/Thru가 크게 증가할수록 선행양방향좌회전이 양호하게 나타났다. 혼잡상태의 경우는 LT/Thru 15%에서 공통적으로 최적현시가 변하였는데 이는 포화도와 이동류별 녹색시간비율이 크게 변하면서 급작스런 주기 증가에 기인한 것으로 판단되었다. 또한 독립교차로 및 연동교차로 현시순서 분석 결과를 보면 전반적으로 선행양방좌회전 현시와 직진 중첩 동시신호 현시가 가장 양호한 것으로 나타났으며, 양방 동시신호 현시는 대체로 지체가 높게 나타나 신호운영에 비효율적인 것을 다시 한번 입증하게 되었다. 특히 연동교차로에서는 연동에 중요한 요소인 옵셋과 진행대폭(bandwidth)의 상호관계를 탄력적으로 대응할 수 있는 직진 중첩 동시신호가 최적현시로 나타났다. 본 연구는 검지기가 설치되지 않은 고정식 신호기로 운영되는 지방부 및 도시 가로망의 교통류 효율성을 높이는 중요한 자료로 사용될 것으로 판단된다. 최근에는 실시간 교통신호 제어시스템이 활발히 연구. 운영되고 있는데 이 시스템 내에 포함되어 있는 TOD방식의 고정시간 제어(pretimed control)나 패턴선택제어(pattern selection control)에도 충분히 활용할 수 있을 것으로 사료된다.

• Korean Journal of Logic
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• v.17 no.2
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• pp.253-287
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• 2014

In First-Order Logic the English expressions, 'any', 'every', 'all', and 'each' are treated on a par but have different meanings in the natural language usages. Especially the expression 'any' is typically used only in the negative contexts, which linguists have paid attention to and attempted to provide an adequate explanation of. I shall show that the explanations so far mainly from linguists are not satisfactory and revive the philosophical insights concerning the logical features of 'any' provided by Zeno Vendler in 1962. I shall claim that the expression 'any' has what Vendler calls the 'freedom of choice' as its primary meaning and denotes what Kit Fine calls an 'arbitrary object'. It will be shown that the logical features of 'any' are manifested more evidently in the analysis of the Korean expression 'amwu'. I believe that this analysis has significant philosophical implications. As an instance I shall show that we can take a fresh perspective on the problem which involves the universal generalization rule and the preface paradox.

• Journal of Intelligence and Information Systems
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• v.9 no.1
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• pp.139-155
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• 2003

This paper presents the new methodology of analyzing and classifying patterns of customers in mobile telecommunication market to enhance the performance of predicting the credit information based on the decision tree and neural network. With the application of variance selection process from decision tree, the systemic process of defining input vector's value and the rule generation were developed. In point of customer management, this research analyzes current customers and produces the patterns of them so that the company can maintain good customer relationship and makes special management on the customer who has huh potential of getting out of contract in advance. The real implementation of proposed method shows that the predicted accuracy is higher than existing methods such as decision tree(CART, C4.5), regression, neural network and combined model(CART and NN).

• The KIPS Transactions:PartC
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• v.17C no.5
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• pp.399-406
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• 2010

Many problems are arisen due to the weakness in the security and invasion to privacy by malicious attacker or internal users while various data services are available in ubiquitous network environment. The matter of controlling security for various contents and large capacity of data has appeared as an important issue to solve this problem. The allocation methods of Ito, Saito and Nishizeki based on traditional polynomial require all shares to restore the secret information shared. On the contrary, the secret information can be restored if the shares beyond the threshold value is collected. In addition, it has the effect of distributed DBMS operation which distributes and restores the data, especially the flexibility in realization by using parameters t,v,k in combinatorial design which has regularity in DB server and share selection. This paper discuss the construction of new share allocation method and data distribution/storage management with the application of matrix structure of t-(v,k,1) design for allocating share when using secret sharing in management scheme to solve the matter of allocating share.

• Journal of Intelligence and Information Systems
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• v.11 no.1
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• pp.191-205
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• 2005

This paper presents a novel product recommender system as a tool fur differentiated marketing service of online shopping malls. Ihe proposed model uses genetic algorithnt one of popular global optimization techniques, to construct a personalized product recommender systen The genetic algorinun may be useful to recommendation engine in product recommender system because it produces optimal or near-optimal recommendation rules using the customer profile and transaction data. In this study, we develop a prototype of WeLbased personalized product recommender system using the recommendation rules fi:om the genetic algorithnL In addition, this study evaluates usefulness of the proposed model through the test fur user satisfaction in real world.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2003.05a
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• pp.155-160
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• 2003

This paper presents a multiple face detector based on a robust pupil detection technique. The pupil detector uses active illumination that exploits the retro-reflectivity property of eyes to facilitate detection. The detection range of this method is appropriate for interactive desktop and kiosk applications. Once the location of the pupil candidates are computed, the candidates are filtered and grouped into pairs that correspond to faces using heuristic rules. To demonstrate the robustness of the face detection technique, a dual mode face tracker was developed, which is initialized with the most salient detected face. Recursive estimators are used to guarantee the stability of the process and combine the measurements from the multi-face detector and a feature correlation tracker. The estimated position of the face is used to control a pan-tilt servo mechanism in real-time, that moves the camera to keep the tracked face always centered in the image.

• The KIPS Transactions:PartD
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• v.10D no.4
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• pp.671-678
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• 2003

A digital video is usually very long temporally. requiring large storage capacity. Therefore, users want to watch pre-summarized video before they watch a large long video. Especially in the field of sports video, they want to watch a highlight video. Consequently, highlight video is used that the viewers decide whether it is valuable for them to watch the video or not. This paper proposes how to create soccer video highlight using the structural features of the caption such as temporal and spatial features. Caption frame intervals and caption key frames are extracted by using those structural features. And then, highlight video is created by using scene relocation, logical indexing and highlight creation rule. Finally. retrieval and browsing of highlight and video segment is performed by selection of item on browser.

• The KIPS Transactions:PartA
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• v.14A no.2
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• pp.107-116
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• 2007

In this paper, we present a method on the construction of multiple-valued circuits using Reed-Muller Expansions(RME). First, we discussed the input output interconnection of multiple valued function using Perfect Shuffle techniques and Kronecker product and designed the basic cells of performing the transform matrix and the reverse transform matrix of multiple valued RME using addition circuit and multiplication circuit of GF(4). Using these basic cells and the input-output interconnection technique based on Perfect Shuffle and Kronecker product, we implemented the multiple valued logic circuit based on RME. The proposed design method of multiple valued RME is simple and very efficient to reduce addition circuits and multiplication circuits as compared with other methods for same function because of using matrix transform based on modular structures. The proposed design method of multiple valued logic circuits is simple and regular for wire routing and possess the properties of concurrency and modularity of array.