• 제어로봇시스템학회논문지
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• 제5권2호
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• pp.174-179
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• 1999

In this paper, we propose an optimal algorithm for finding the shortest connection of two kinds of parts to pairs. If total part numbers are of size N, then there are order 2ㆍ(N/2)$^{N}$ possible solutions, of which we want the one that minimizes the energy function. The appropriate dynamic rule and parameters used in network are proposed by a new energy function which is minimized when 3-constraints are satisfied. This dynamic nile has three important parameters, an enhancement variable connected to pairs, a normalized distance term and a time variable. The enhancement variable connected to pairs have to a perfect connection of two kinds of parts to pairs. The normalized distance term get rids of a unstable states caused by the change of total part numbers. And the time variable removes the un-optimal connection in the case of distance constraint and the wrong or not connection of two kinds of parts to pairs. First of all, we review the theoretical basis for Hopfield model and present a new energy function. Then, the connection matrix and the offset bias created by a new energy function and used in dynamic nile are shown. Finally, we show examples through computer simulation with 20, 30 and 40 parts and discuss the stability and feasibility of the resultant solutions for the proposed connection algorithm.m.

• International Journal of Naval Architecture and Ocean Engineering
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• 제7권1호
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• pp.195-211
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• 2015

Flat plate friction lines have been used in the process to estimate speed performance of full-scale ships in model tests. The results of the previous studies showed considerable differences in determining form factors depending on changes in plate friction lines and Reynolds numbers. These differences had a great influence on estimation of speed performance of full-scale ships. This study was conducted in two parts. In the first part, the scale effect of the form factor depending on change in the Reynolds number was studied based on CFD, in connection with three kinds of friction resistance curves: the ITTC-1957, the curve proposed by Grigson (1993; 1996), and the curve developed by Katsui et al. (2005). In the second part, change in the form factor by three kinds of friction resistance curves was investtigated based on model tests, and then the brake power and the revolution that were finally determined by expansion processes of full-scale ships. When three kinds of friction resistance curves were applied to each kind of ships, these were investigated: differences between resistance and self-propulsion components induced in the expansion processes of full-scale ships, correlation of effects between these components, and tendency of each kind of ships. Finally, what friction resistance curve was well consistent with results of test operation was examined per each kind of ships.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2003년도 추계학술대회논문집
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• pp.824-830
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• 2003

The Power Flow Finite Element Method(PFFEM) offers very promising results in predicting the vibration responses of system structures, and the first PFFEM software, PFADS has been developed in Seoul National University for the vibration predictions and analysis of coupled system structures in medium-to-high frequency ranges. PFFEM is numerical method which solves energy governing equation using finite element technique for complicated structures where the exact solutions are not available. Through the upgrades, the current version PFADS R3 could cover the general beam and plate structures including various kinds of beam-plate rigid joints, spring-damper connection and rigid body connection within beam and plate in addition. This software is composed of three parts; translator, model converter and solver. The translator makes its own FE-model from bulk data of commercial FE software, and the model converter is used to convert FE-model to PFFE-model automatically. The solver calculates vibrational energy density and intensity for PFFE-model by solving global matrix equations of PFFEM. For the applications of PFADS R3, two vehicle models and a container model are examined with respect to major parameters, and reliable results are obtained.

• 전기학회논문지
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• 제61권5호
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• pp.744-752
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• 2012

In this study, the Polynomial-based Radial Basis Function Neural Networks is proposed as an one of the recognition part of overall face recognition system that consists of two parts such as the preprocessing part and recognition part. The design methodology and procedure of the proposed pRBFNNs are presented to obtain the solution to high-dimensional pattern recognition problems. In data preprocessing part, Principal Component Analysis(PCA) which is generally used in face recognition, which is useful to express some classes using reduction, since it is effective to maintain the rate of recognition and to reduce the amount of data at the same time. However, because of there of the whole face image, it can not guarantee the detection rate about the change of viewpoint and whole image. Thus, to compensate for the defects, Linear Discriminant Analysis(LDA) is used to enhance the separation of different classes. In this paper, we combine the PCA&LDA algorithm and design the optimized pRBFNNs for recognition module. The proposed pRBFNNs architecture consists of three functional modules such as the condition part, the conclusion part, and the inference part as fuzzy rules formed in 'If-then' format. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of pRBFNNs is represented as two kinds of polynomials such as constant, and linear. The coefficients of connection weight identified with back-propagation using gradient descent method. The output of the pRBFNNs model is obtained by fuzzy inference method in the inference part of fuzzy rules. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of Differential Evolution. The proposed pRBFNNs are applied to face image(ex Yale, AT&T) datasets and then demonstrated from the viewpoint of the output performance and recognition rate.

• 건축역사연구
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• 제20권1호
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• pp.117-133
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• 2011

This thesis is a study on the oldest feng-shui book "Janggyeong(葬經)". Specially, it is a focus on the feng-shui orientation method so called Sasepalryongbub(四勢八龍法) in that book. This method is to identify fortune and misfortune with the directions to be measured by a feng-shui compass. Sa(四) of Sase(四勢) is the four pieces of direction of dividing 12 parts for 360 degree circle. To divide for 12 parts is related with 12-Jiji(地支). Sa mean In(寅), Sin(申), Sa(巳), and Hae(亥). Se of Sase means a large stem of mountain. Generally, Sase are the big mountain stems of the four directions as In, Sin, Sa, and Hae. Pal(八) of Palryong(八龍) mean the 8 parts of equal division for 360 degree. It is related with Palgoe(八卦) that divide for 8 parts equally. Palgoe are Jin(震), Li(離), Gam(坎), Tae(兌), Geon(乾), Gon(坤), Gan(艮), and Son(巽). Ryong(龍) of Palryong(八龍) is a stem of mountain that is measured with 8 parts of equal division feng-shui compass. Sasepalryongbub make a connection between Sase and Palryong. When they are connected, it is a good fortune like as In(寅) and Li(離), Sin(申) and Gam(坎) or Gon(坤) or Gan(艮), Sa(巳) and Tae(兌) or Geon(乾), Hae(亥) and Jin(辰) or Son(巽). It is based on two theories. The one is 12-Unseongron(運星論), the other is one of Ohaengron(五行論) as Samhap-Ohaeng(三合五行). 12-Unseongron begins from dividing all human life affairs with 12 steps. Saeng(生), Wang(旺), Myo(墓) are the very important things among 12 steps. Saeng means starting, Wang means flourishing, Myo means keeping. Samhap-Ohaeng is made with Jiji of Saeng, Wang and Myo steps about 12-Unseongron. Saeng is the most important thing among of Saeng, Wang and Myo in Sasepalryongbub which means birth. Saeng of Jiji direction can help Palgoe direction as a counterpart. Like this, the good relation of Sase and Palryong is that Jiji direction can help Palgoe direction. For example, there are In(寅) of Jiji and Li(離) of Palgoe, can be explained as these kinds of the good relations. In view of Samhap-Ohaeng, In of Jiji is regared as Saeng of fire(火). This fire- Saeng-In as Jiji can help fire- Li as Palgoe. It can be said as a good condition that Sase and Palryong be connected like this case. This is the main content of Sasepalryongbub as being treated in this study.

• 한국수학교육학회지시리즈C:초등수학교육
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• 제21권2호
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• pp.237-260
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• 2018

본 연구는 4개국의 초등학교 수학 교과서 비와 비율 단원에서 어떠한 모델을 사용하고 있는지 알아보고, 비례에 대한 곱셈적 사고와 비례 상황의 구조에 따라 이러한 모델이 교과서에 어떻게 반영되어 있는지 살펴보았다. 이를 위해 한국, 일본, 싱가포르, 미국의 초등학교 5, 6학년 수학 교과서를 비교 분석하였다. 그 결과 그림 모델과 비표, 이중수직선, 테이프 다이어그램에서 비례에 대한 곱셈적 사고와 비례 상황의 구조에 따른 차이를 확인할 수 있었다. 또한 다중묶음관점에서 변동부분관점으로 이어지는 일본교과서의 전개나 두 가지 이상의 모델이 함께 쓰인 각 나라 교과서의 사례에서 곱셈적 사고의 연결 및 통합 가능성을 찾을 수 있었다. 따라서 학생들의 곱셈적 사고를 신장시키고 측정 공간 내 또는 측정 공간 사이의 비례추론을 지도하기 위해 차기 교과서에서 어떤 종류의 모델을 어떻게 제시하는 것이 효과적일지 좀 더 신중한 검증과 논의가 필요하다.

• 제어로봇시스템학회논문지
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• 제16권12호
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• pp.1150-1158
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• 2010

In this study, the Polynomial-based Radial Basis Function Neural Networks is proposed as one of the recognition part of overall face recognition system that consists of two parts such as the preprocessing part and recognition part. The design methodology and procedure of the proposed pRBFNNs are presented to obtain the solution to high-dimensional pattern recognition problem. First, in preprocessing part, we use a CCD camera to obtain a picture frame in real-time. By using histogram equalization method, we can partially enhance the distorted image influenced by natural as well as artificial illumination. We use an AdaBoost algorithm proposed by Viola and Jones, which is exploited for the detection of facial image area between face and non-facial image area. As the feature extraction algorithm, PCA method is used. In this study, the PCA method, which is a feature extraction algorithm, is used to carry out the dimension reduction of facial image area formed by high-dimensional information. Secondly, we use pRBFNNs to identify the ID by recognizing unique pattern of each person. The proposed pRBFNNs architecture consists of three functional modules such as the condition part, the conclusion part, and the inference part as fuzzy rules formed in 'If-then' format. In the condition part of fuzzy rules, input space is partitioned with Fuzzy C-Means clustering. In the conclusion part of rules, the connection weight of pRBFNNs is represented as three kinds of polynomials such as constant, linear, and quadratic. Coefficients of connection weight identified with back-propagation using gradient descent method. The output of pRBFNNs model is obtained by fuzzy inference method in the inference part of fuzzy rules. The essential design parameters (including learning rate, momentum coefficient and fuzzification coefficient) of the networks are optimized by means of the Particle Swarm Optimization. The proposed pRBFNNs are applied to real-time face recognition system and then demonstrated from the viewpoint of output performance and recognition rate.

• 정보관리연구
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• 제34권4호
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• pp.63-84
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• 2003

본 연구는 정부의 원자력 분야 정보 인프라 구축사업의 지원으로 이루어진 연구로서 한국원자력연구소가 국가 원자력 정보센터로서의 기능을 적극 수행하기 위하여 원자력분야 학술정보통합정보관리시스템인 NUCLIS21(Nuclear Information System21)을 구축한 프로젝트이다. 본 시스템은 웹기반의 이용자 중심 단일 인터페이스를 제공하여 국가 원자력 분야 정보기반구축은 물론 기존 정보센터의 정보관리시스템을 개선하는데 목적이 있다. 또한 구축된 시스템은 원자력 분야 학술정보 통합정보관리시스템으로서 크게 두 가지로 먼저 경영정보시스템(MIS)과의 연계모듈과 6개의 하위시스템으로 즉, OPAC과 연동되는 통합검색 시스템, My Library 시스템, 정보수집 시스템, 편목 시스템, 정보제공 시스템, 연속간행물 시스템으로 구성된다. 그 특징은 경영정보시스템(MIS)과 연계하여 연구 프로젝트 등 연구관련 정보를 반입하여 관련 정보를 제공함으로써 이용자의 연구 주제별 맞춤정보, 상호작용, 후속 서비스 등이 가능하도록 구성하였다. 구축결과 시스템의 평가는 만족도를 조사하였는데 이용자 만족도는 정보제공의 충실성은 75.7% (200명), 신속성은 62.1% (164명), 편리성은 78.4% (207명)가 대부분 만족한다고 응답하여 전체적인 시스템 만족도는 비교적 높게 나타났다.