• 한국지능시스템학회논문지
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• 제15권2호
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• pp.224-229
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• 2005

일반적으로 유전 알고리즘은 전형적인 프로세서에서 수행할 경우 매우 큰 시간 공간 복잡도를 가진다. 따라서 유전 알고리즘 처리를 위해서는 고성능$\cdot$고가격의 프로세서를 필요로 하게 된다. 또한 이것은 유전 알고리즘을 소형 이동 로봇과 같이 비교적 간단한 룰을 필요로 하는 실제 하드웨어에 적용하는데 있어 큰 장벽으로 작용한다. 이러한 문제의 해결을 위해, 본 논문에서는 유전 알고리즘의 신속한 처리를 위해 강화된 프로세서 구조를 보인다. 정렬 네트워크와 residue number system (RNS)를 이용하여 일반적인 프로세서의 구조를 유전 알고리즘의 처리에 효율적이도록 강화할 수 있다. 정렬 네트워크는 유전 알고리즘에 필수적인 해들의 품질 비교를 하드웨어적으로 처리할 수 있게 하여 수행에 요구되는 시간을 줄일 수 있다. RNS는 산술 연산의 속도를 좌우하는 bit 사이즈를 줄여 전체적인 로직의 사이즈를 줄이고, 산술 연산의 처리 속도를 빠르게 할 수 있다.

• 한국농업기계학회:학술대회논문집
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• 한국농업기계학회 1998년도 동계 학술대회 논문집
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• pp.438-443
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• 1998

• 한국CDE학회논문집
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• 제4권3호
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• pp.269-283
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• 1999

Surface/surface intersection is a common and important problem in geometric modeling and CAD/CAM. Several methods have been used to approach this problem. All possible intersection curves can be obtained by using the subdivision algorithm, while it requires a great deal of memory and is somewhat inefficient. The tracing algorithm is much faster than the subdivision algorithm, and can find points on the intersection curve sequentially. But, the tracing algorithm has some problems in the intersection curves on surface boundaries. In this paper, an Improved tracing algorithm that includes some ideas such as a new trace-terminating condition for the intersection curves on surface boundaries, detecting closed intersections and extension for composite surfaces is suggested. This algorithm consists of three step: generating state points for curve tracing, tracing intersection curves and sorting pieces of the intersection curves. The results of this algorithm and comparisons to the 'DESIGNBASE' and 'ACIS' system are presented.

• 대한전자공학회논문지SP
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• 제44권2호
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• pp.108-115
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• 2007

본 논문에서는 최적화 알고리즘의 속도를 향상시킬 수 있는 방안으로 설계자가 원하는 목적함수들의 수렴 범위를 Goal로 설정하여 최적화를 수행하는 GBNSGA(Goal-Pareto based Non-dominated Sorting Genetic Algorithm)를 제안한다. 많은 공학문제들은 하나의 목표치를 충족하는 해를 찾는 것이 아니라 다수 목적함수들을 충족하는 해를 찾는 것이 일반적이다 특히, 이러한 목적함수들은 서로 상충적인 관계를 갖는 경우가 대부분이기 때문에 모든 목적함수들을 만족하는 유일해를 찾는 것은 거의 불가능하다. 그 대안으로 일부 목적을 희생하며 설계에 부합되는 최적해를 찾는 파레토(Pareto) 방식의 최적화 알고리즘들에 대한 많은 연구가 진행되었다. 본 논문에서는 이러한 파레토 기반의 최적화 알고리즘들의 성능 향상을 도모하기 위하여 설계자의 목적을 파레토 할당에 반영하는 GBNSGA를 제안하고, 그 성능을 NSGA와 weighted-sum 접근 방식과의 비교를 통해 그 우수성을 검증하였다.

• 정보교육학회논문지
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• 제23권2호
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• pp.107-116
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• 2019

본 연구는 초등학생의 논리적 사고력 신장을 위한 교육 방법으로 수행시간 중심의 파이썬 정렬 알고리즘 교육 프로그램을 개발하여 적용한 후 그 효과를 검증하였다. 교육 프로그램은 현직 초등학교 교사 100명을 대상으로 실시한 사전 요구 분석 결과를 바탕으로 하여 개발하였다. 개발한 교육 프로그램의 효과를 검증하기 위해 ${\bigcirc}{\bigcirc}$ 대학교에서 실시한 초등학생 교육기부 프로그램의 지원자 표집에 의한 지원자 표본 25명을 대상으로 6일간 1일 7차시씩 42차시를 진행하였다. 한국교육개발원에서 개발한 '논리적 사고 검사(GALT)'를 활용하여 사전 사후 검사 결과를 통해 교육적 효과를 분석하였으며, 분석 결과 수행시간 중심의 파이썬 정렬 알고리즘교육이 초등학생의 논리적 사고력 향상에 효과적인 것으로 나타났다.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2002년도 하계종합학술대회 논문집(1)
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• pp.347-350
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• 2002

In the input buffer switch system, VOQ(Virtual Output Queue) archives 100% throughput. The VOQ with the systolic architecture maintains an uniform performance regardless of a number of Packet class and output port, so that it doesn't have a limitation of scalability. In spite of these advantages, the systolic architecture VOQ is difficult to change sorting order In this paper, we Proposed a systolic architecture VOQ which support weighted round robin(WRR) algorithm to provide with flow control service.

• 한국해양공학회지
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• 제34권4호
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• pp.272-276
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• 2020

This paper presents an optimization process for a catamaran hull form. The entire optimization process was managed using the CAD-CFD integration platform CAESES. The resistance of the demi-hull was simulated in calm water using the CFD solver STAR-CCM+, and an inviscid fluid model was used to reduce the computing time. The Free-Form Deformation (FFD) method was used to make local changes in the bulbous bow. For the optimization of the bulbous bow, the Non-dominated Sorting Genetic Algorithm (NSGA)-II was applied, and the optimization variables were the length, breadth, and angle between the bulbous bow and the base line. The Lackenby method was used for global variation of the bow of the hull. Nine hull forms were generated by moving the center of buoyancy while keeping the displacement constant. The optimum bow part was selected by comparing the resistance of the forms. After obtaining the optimum demi-hull, the distance between two demi-hulls was optimized. The results show that the proposed optimization sequence can be used to reduce the resistance of a catamaran in calm water.

• International Journal of Contents
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• 제4권1호
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• pp.20-25
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• 2008

The development of communication technology and the spread of computers and internet have affected to the field of education. In this paper, we design a learning process with LAMS to make the new education environment which is required in an information age. We made the learning environment with LAMS which develops the learner's algorithmic thinking faculty on some sorting algorithm, especially such as selection sort, bubble sort and insertion sort algorithm. In addition, we analyse the effectiveness of the learning environment. The designed contents were applied to elementary school students' learning and a questionnaire survey was conducted after a learning course. The research of the questionnaire shows that the learning system using LAMS motivates a learner for learning and provides a convenient learning environment.

• Journal of Biosystems Engineering
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• 제16권3호
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• pp.272-280
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• 1991

The aims of this study were to investigate the feasivility of analyzing a few sorting factors such as size, coloration and defect of apples with a monochrome image processing system and to find apparent properties which could be effectively used for apple sorting. The results are summarized as follows. 1. A computer program was made to analyze the projection area, coloration and defect of an apple with a monochrome image processing system. 2. The algorithm developed to compute the projedtion area of an apple was between on the proportional relation between a given reference area and the corresponding number of pixels, and the computing time was 0.74 to 0.82 second depending on the size of apple. 3. The coloration of an apple was expressed as the ratio of the gray value of a reference color to that of a given bounded area of the stem end surface (defined as coloration index), and the computing time was about 3.0 seconds with this algorithm. 4. Defect of an apple could be isolated by lowpass filtering and image subtraction but it took about 20 seconds in computing time. 5. The coloration of the Fuji apple could be classified into 3 to 4 groups by the coloration index and also, it was found that the correlation coefficient between the indices and sugar contents was 0.74. 6. The coloration index obtained from a given bounded area of the stem end side of the Fuji apple could represent the coloration of total surface with a correlation coefficient of 0.922.

• Smart Structures and Systems
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• 제22권4호
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• pp.469-479
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• 2018

The present research study utilizes a multi-objective optimization method for Pareto optimization of an eight-degree of freedom full vehicle vibration model, adopting a non-dominated sorting genetic algorithm II (NSGA-II). In this research, a full set of ride comfort as well as ride safety parameters are considered as objective functions. These objective functions are divided in to two groups (ride comfort group and ride safety group) where the ones in one group are in conflict with those in the other. Also, in this research, a special optimizing technique and combinational method consisting of weighted sum method and Pareto optimization are applied to transform Pareto double-objective optimization to Pareto full-objective optimization which can simultaneously minimize all objectives. Using this technique, the full set of ride parameters of three dimensional vehicle model are minimizing simultaneously. In derived Pareto front, unique trade-off design points can selected which are non-dominated solutions of optimizing the weighted sum comfort parameters versus weighted sum safety parameters. The comparison of the obtained results with those reported in the literature, demonstrates the distinction and comprehensiveness of the results arrived in the present study.