• 한국시뮬레이션학회:학술대회논문집
• /
• 한국시뮬레이션학회 1999년도 춘계학술대회 논문집
• /
• pp.184-188
• /
• 1999

The performance of an AGV varies with the applied AGV dispatching rule in the operation of AGVS. This study proposes a multi-attribute AGV dispatching rule. The suggested dispatching rule considers the output queue of a workstation, distance between an idle AGV and a workstation to be served, the input queue of the destination and the remaining job process of a part. This study suggests two types of and the remaining job process of a part. This study suggests two types of multi-attribute dispatching rules. One is an one-stage rule which selects the part to be served considering four attributes simultaneously. The other is a two-stage rule by which a workstation is selected and a part is chosen from the selected workstation. The simulation runs were executed under different experimental conditions to obtain preliminary statistics on the several performance measures.

• 한국지능시스템학회논문지
• /
• 제18권3호
• /
• pp.392-400
• /
• 2008

This paper proposes a novel optimization algorithm inspired by bacteria behavior patterns for foraging. Most bacteria can trace attractant chemical molecules for foraging. This tracing capability of bacteria called chemotaxis might be optimized for foraging because it has been evolved for few millenniums. From this observation, we developed a new optimization algorithm based on the chemotaxis of bacteria in this paper. We first define behavior and decision rules based on the behavior patterns of bacteria and then devise an optimization algorithm with these behavior and decision rules. Generally bacteria have a quorum sensing mechanism that makes it possible to effectively forage, but we leave its implementation as a further work for simplicity. Thereby, we call our algorithm a simple bacteria cooperative optimization (BCO) algorithm. Our simple BCO is tested with four function optimization problems on various' parameters of the algorithm. It was found from experiments that the simple BCO can be a good framework for optimization.

• 아동학회지
• /
• 제13권2호
• /
• pp.33-51
• /
• 1992

The purpose of this study was to investigate activities of kindergarteners in the mathematics corner. The study included an analysis of children's interactions with mathematics materials and of children's peer interactions during mathematics activities. The subjects were 47 children aged three to four and 72 children aged four to five from four classes of two kindergartens in Kwangju. Children's math activities during free play sessions were observed and audiotaped. The data were coded by the categories of children's peer interactions and types of mathematics manipulations. The characteristics of children's peer interactions and materials frequently selected by the subjects were identified. The results indicated that (1) most of the math materials were for passive manipulation that require children to respond according to predetermined conditions like the rules of games, but (2) the materials that children liked to play with were active manipulative materials that require diversity and flexibility of children's thinking and allow several choices for solutions, and (3) children's peer interactions during math activities were categorized into unilateral and reciprocal/collaborative peer interaction type.

• 말소리와 음성과학
• /
• 제1권1호
• /
• pp.77-86
• /
• 2009

This study observes how the combined intervention program effects on the acquisition reading pronunciation of Korean phonological process words and the acquisition aspects of each phonological process rules to four Korean learners whose first language is Chinese. The training program is the combination of multisensory Auditory, Visual and Kinethetic (AVK) approach, wholistic approach, and metalinguistic approach. The training purpose is to evaluate how accurately they read the words of the phonological process which have fortisization, nasalization, lateralization, intermediate sound /ㅅ/ (/${\int}iot"$/). We access how they read the untrained words which include the four factors above. The intervention effects are analyzed by the multiple probe across subjects design. The results indicate that the combined phonological process rule explanation and the words activity intervention affects the four Chinese subjects in every type of word. The implications of the study are these: First, it suggests the effect of Korean pronunciation intervention in a concrete way. Second, it offers how to evaluate the phonological process and how to train people who are learning Korean language.

• Journal of Electrical Engineering and Technology
• /
• 제7권4호
• /
• pp.636-645
• /
• 2012

This study introduces an information granular-based fuzzy radial basis function neural networks (FRBFNN) based on multiobjective optimization and weighted least square (WLS). An improved multiobjective space search algorithm (IMSSA) is proposed to optimize the FRBFNN. In the design of FRBFNN, the premise part of the rules is constructed with the aid of Fuzzy C-Means (FCM) clustering while the consequent part of the fuzzy rules is developed by using four types of polynomials, namely constant, linear, quadratic, and modified quadratic. Information granulation realized with C-Means clustering helps determine the initial values of the apex parameters of the membership function of the fuzzy neural network. To enhance the flexibility of neural network, we use the WLS learning to estimate the coefficients of the polynomials. In comparison with ordinary least square commonly used in the design of fuzzy radial basis function neural networks, WLS could come with a different type of the local model in each rule when dealing with the FRBFNN. Since the performance of the FRBFNN model is directly affected by some parameters such as e.g., the fuzzification coefficient used in the FCM, the number of rules and the orders of the polynomials present in the consequent parts of the rules, we carry out both structural as well as parametric optimization of the network. The proposed IMSSA that aims at the simultaneous minimization of complexity and the maximization of accuracy is exploited here to optimize the parameters of the model. Experimental results illustrate that the proposed neural network leads to better performance in comparison with some existing neurofuzzy models encountered in the literature.

• Journal of Electrical Engineering and Technology
• /
• 제12권6호
• /
• pp.2388-2398
• /
• 2017

In this study, we propose a robust face recognition system to pose variations based on automatic pose estimation. Radial basis function neural network is applied as one of the functional components of the overall face recognition system. The proposed system consists of preprocessing and recognition modules to provide a solution to pose variation and high-dimensional pattern recognition problems. In the preprocessing part, principal component analysis (PCA) and 2-dimensional 2-directional PCA ($(2D)^2$ PCA) are applied. These functional modules are useful in reducing dimensionality of the feature space. The proposed RBFNNs architecture consists of three functional modules such as condition, conclusion and inference phase realized in terms of fuzzy "if-then" rules. In the condition phase of fuzzy rules, the input space is partitioned with the use of fuzzy clustering realized by the Fuzzy C-Means (FCM) algorithm. In conclusion phase of rules, the connections (weights) are realized through four types of polynomials such as constant, linear, quadratic and modified quadratic. The coefficients of the RBFNNs model are obtained by fuzzy inference method constituting the inference phase of fuzzy rules. The essential design parameters (such as the number of nodes, and fuzzification coefficient) of the networks are optimized with the aid of Particle Swarm Optimization (PSO). Experimental results completed on standard face database -Honda/UCSD, Cambridge Head pose, and IC&CI databases demonstrate the effectiveness and efficiency of face recognition system compared with other studies.

• 한국음향학회지
• /
• 제22권6호
• /
• pp.434-442
• /
• 2003

특정한 언어 (영어)로 구현된 소프트웨어를 다른 언어 (한국어, 중국어 등)에서 처리할 수 있도록 하는 과정인 소프트웨어의 국제화는 음성기술 분야에 적응할 때 매우 복잡해진다. 그 이유는 음성 자체가 언어와 많은 연관 관계를 갖기 때문이다. 그러나 어떠한 언어라 해도 그 나라의 언어표현은ASCII코드나 혹은 그 나라 고유의 코드 기반으로 소프트웨어를 처리한다. 영어의 경우는 ASCII코드의 코드체계로 이루어지지만 다른 나라 언어인 경우 다른 형태의 언어코드를 사용하는 것이 일반적이다. 음성 처리에서 언어의 본질적 특성은 어휘모델에 나타난다. 어휘모델은 문자집합, 음소집합, 발음규칙으로 구성된다. 본 논문에서는 다국어 음성인식처리를 위한 어휘모델을 자동으로 생성하기 위하여, 4단계로 나누어 처리하는 어휘모델 구축 방법을 제안한다. 우선 전처리 과정으로 특정한 언어로 표현한 단어를 유니코드로 변환한다. (1단계) 유니코드로부터 중간 형태 코드로의 변환 (2단계) 발음 형태를 기본으로 하는 표준화된 규칙 적용 (3단계) 음소 규칙들에 의한 문자소 구현 (4단계) 음운론을 적용하는 순서로 구성된다.

• 한국과학교육학회지
• /
• 제29권1호
• /
• pp.10-21
• /
• 2009

이 연구에서는 중학교 3학년 '물질의 구성' 단원과 '물질 변화에서의 규칙성' 단원에서 다루는 가설과 법칙들을 과학 교사들이 어떻게 이해하고 있는지 알아보고, 귀추적 관점을 경험하였을 때 이들의 사고가 어떻게 변화하는지 알아보았다. 22명의 대학원 과정 화학 교사들을 대상으로 3주간 귀추법에 관련된 토론 수업을 진행하고, 수업에 참여한 교사들 중에 4명을 선발하여 사고의 변화를 면담과 보고서 등을 통해 조사하였다. 조사 결과, 교과서 내용 순서에 문제점을 인식하지 못하였던 교사 2명은 토론 수업 후에 법칙과 가설의 차이를 인식하는 사고로 변화하였다. 수업 전에 교과서의 내용 전개 순서에 문제가 있다고 생각하였던 교사 2명은 수업을 통해 귀추적 관점을 획득하였다. 또한 이들은 학생들의 지도 방식에 대한 새로운 견해와 귀추적 관점이 가지는 교육적 의미도 깨달았다.

• 정보처리학회논문지B
• /
• 제18B권6호
• /
• pp.405-414
• /
• 2011

국내에서 가장 일반적으로 사용되고 있는 규칙 기반 오류 검출 방법은 언어 전문가가 한국어 문서에서 자주 발생하는 오류에 대한 검출 규칙을 경험적으로 구축하고 있다. 그러나 이렇게 경험적으로 규칙을 만들면 새로운 패턴의 문장이 나타날 때마다 규칙이 수정되어야 하므로 일관성 있는 오류 검사 및 교정을 기대할 수 없다. 본 논문에서는 이를 해결하려고 최근 개발되고 있는 어휘의미망 중에서 KorLex와 같은 정규화된 언어 자원을 활용하여 단어들의 범주 정보를 추출하고 이를 이용하여 오류 결정 규칙을 일반화한다. 그러나 현재 구축된 KorLex에는 명사의 계층관계 정보는 구축되어 있지만, 문장 요소와의 관계 정보, 즉, 격틀 정보가 부족하다. 본 논문에서는 용언 의미 오류 결정 규칙으로 사용할 선택제약 명사 클래스를 정보이론에 기초한 MDL과 Tree Cut Model을 활용하여 추출하고 이러한 선택제약 명사 클래스를 사용하여 문법 검사기 규칙을 일반화하는 방안을 제안한다. 실험 결과, 혼동하기 쉬운 네 개의 용언에 대해 목적어로 사용된 명사를 선택제약 명사 클래스로 일반화하여 문법 검사기 오류 결정 규칙 수를 평균 64.8%로 줄였고 기존 명사를 사용한 문법 검사기보다 정확도 측면에서 평균 약 6.2%정도 향상된 결과를 얻을 수 있었다.

• 동의생리병리학회지
• /
• 제24권3호
• /
• pp.353-360
• /
• 2010

Huang di's Four Classics introduces the first full-scale Yin-Yang theory. The ancient idea of Yin-Yang could be classified systematically throughout Huang di's Four Classics and make itself the cause of creation, movement, and variation. The Tao of essence and Reason-Law(理法) is a single 'One'(一) and completes the reality of Tao adopting Yin-Yang as an elementary. The elementary of Yin-Yang has rules and laws and then the Tao manifest itself through Yin-Yang. The features of Yin-Yang theory in Huang di's Four Classics are placed on the explanation of the structure of the universe embodied as class and system. The class and system are the structured worlds in the space based on the upper and lower sides Yin-Yang idea(上下陰陽觀). It means the system by Yin-Yang theory, corresponding to the flat structure of the Sky and the Earth mentioned in Gaitian theory, one of the ancient theory of the universe structure. By adopting Huang di's Four Classics' Tian-zhi Yin-Yang theory(天地陰陽論) and developing the class system in human bodies, The Hwangjenegyeng appreciates human bodies as a whole. In addition, by applying Four seasons Yin-Yang theory not only to human bodies but also to the space of Liu-he(六合) and the time of Four Seasons(四時), it developed Yin-Yang theory of Huang di's Four Classics more abundantly and embodied Yin-Yang theory in many fields including physiology, pathology, diagnostics, and prescriptions.