• 제목/요약/키워드: new designs

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Fuzzy Logic Controller Design via Genetic Algorithm

  • Kwon, Oh-Kook;Wook Chang;Joo, Young-Hoon;Park, Jin-Bae
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1998년도 The Third Asian Fuzzy Systems Symposium
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    • pp.612-618
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    • 1998
  • The success of a fuzzy logic control system solving any given problem critically depends on the architecture of th network. Various attempts have been made in optimizing its structure its structure using genetic algorithm automated designs. In a regular genetic algorithm , a difficulty exists which lies in the encoding of the problem by highly fit gene combinations of a fixed-length. This paper presents a new approach to structurally optimized designs of a fuzzy model. We use a messy genetic algorithm, whose main characteristics is the variable length of chromosomes. A messy genetic algorithms used to obtain structurally optimized fuzzy models. Structural optimization is regarded important before neural network based learning is switched into. We have applied the method to the exampled of a cart-pole balancing.

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유로 형상 변화에 따른 CFD 해석 결과와 PEM 연료전지 성능 비교 (Comparison between CFD analysis and experiments according to various PEMFC flow-field designs)

  • 이강인;박민수;이세원;주종남
    • 한국신재생에너지학회:학술대회논문집
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    • 한국신재생에너지학회 2008년도 춘계학술대회 논문집
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    • pp.572-575
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    • 2008
  • Flow-field design has much influence over the performance of proton exchange membrane fuel cell (PEMFC) because it affects the pressure magnitude and distribution of the reactant gases. To obtain the pressure magnitude and distribution of reactant gases in four kinds of flow-field designs without additional measurement equipment, computational fluid dynamics (CFD) analysis was performed. After the CFD analysis, the performance values of PEMFC according to the flow-field configurations were measured via a single cell test. As expected, the pressure differences due to different flow-field configurations were related to the PEMFC performance because the actual performance results showed the same tendency as the results of the CFD analysis. A large pressure drop resulted in high PEMFC performance. So, the single serpentine configuration gave the highest performance. On the other hand, the parallel flow-field configuration gave the lowest performance because the pressure difference between inlet and outlet was the lowest.

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한국형 고속틸팅열차의 충돌안전도 평가기법 소개 (Introduction to an Evaluation Method for Crashworthiness of Korean Tilting Train Express)

  • 정현승;권태수;구정서
    • 한국정밀공학회:학술대회논문집
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    • 한국정밀공학회 2005년도 춘계학술대회 논문집
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    • pp.318-321
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    • 2005
  • Crashworthy design of a train is a systematic approach to ensure the safety of passengers and crews in railway transportation for the prescribed accident scenarios. This approach needs new structural arrangements and designs to absorb higher levels of impact energy in a controlled manner and interior designs to minimize passenger injuries. In this paper, an evaluation method for crashworthiness of Korean tilting train express is introduced. Crush characteristics for each part of tilting train express are evaluated numerically through 3-dimensional shell element analysis with LS-DYNA. Based on a head-on collision and a level crossing collision scenarios, the crash behaviors of tilting train express are evaluated numerically using full-rake collision simulations.

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관광상품개발을 위한 cap 디자인 연구 -전통박쥐문양의 응용을 중심으로- (The Study on Cap Design for Developing Tourist Souvenir: Applying Traditional Bat Motifs)

  • 김혜경;정성일
    • 한국의류학회지
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    • 제24권8호
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    • pp.1209-1219
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    • 2000
  • The importance of souvenirs are increasing immensely these days owing to the increase of foreign visitors to our country, which forces us to turn our eyes to this field. Upon these reflections, this study aims at aims at developing cap designs that satisfy the foreign tourists needs and let them recognize the outstanding beauty of Korean traditional patterns by applying traditional motifs. The Korean traditional patterns and their symbolic meanings were researched as well as the previous studies on the designing of goods for foreign visitors which had traditional patterns applied. Furthermore, the overall tendencies of the purchase of souvenirs and goods by foreign tourists in Korea as well as in foreign countries were investigated. Next, the present state of apparel goods and caps for sightseers in Korea was analyzed according to their shapes, colors, and patterns. Finally, by using CAD system, new cap designs were developed applying traditional bat motifs in order to capture the traditional images for a modern sense of beauty.

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2015 밀라노 페어를 통해 본 가구디자인 문화 연구 - 기업의 장수 제품과 리뉴얼 디자인을 중심으로 - (A Study on the Culture of Furniture Design in Consideration of Milano Fair 2015 - Focusing on corporate longevity products and renewal design -)

  • 김경원;김건수;김정호;김종서
    • 한국가구학회지
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    • 제26권3호
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    • pp.241-251
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    • 2015
  • Milano Fair is the most authoritative event in the world and the most noticeable exhibition for expecting stream of furniture design and future. Companies and designers, who participate in this event, pioneer independent market through the creative and creative products based on their own identity. Their competitiveness in the market comes from the identity of the brands and it is possible when making continuous efforts to make competitiveness by differentiated designs and products. Upright design culture will be made when respecting the value of designers and designs, making the history and tradition and striving for new challenges and pioneerings.

텍스타일 디자인 요소에 따른 감성 분석 (Sensibilities according to The Design Factors of Woven Textiles)

  • 나영주;한경미
    • 감성과학
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    • 제5권3호
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    • pp.29-34
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    • 2002
  • This study aimed to investigate the effect of design factors of woven textiles on the consumer's sensibility and emotion. 60 textile design pictures and 18 adjectives were prepared to get responses from 512 adult subjects. Textiles designs were analyzed into 9 design factors, such as, motif source, motif-background ratio, motif interpretation, motif arrangement, motif variation, motif articulation, hue contrast, value contrast, and chroma contrast. The results are followings: 1) The design factors of textiles were connected to other design factors, for example, the type of motif interpretation determined the type of chroma contrast, motif source, the ratio, and chroma contrast significantly. 2) The correlational coefficients of the ratio, motif variation, chroma contrast, hue contrast, articulation, and value contrast were positively signed significantly. 3) Consumer's sensibility was changed in urban, natural, graceful, mannish, young, dynamic, new, modem and etc, as the textile designs were changed in motif source, arrangement, hue contrast and etc.

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Design and optimization of steel trusses using genetic algorithms, parallel computing, and human-computer interaction

  • Agarwal, Pranab;Raich, Anne M.
    • Structural Engineering and Mechanics
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    • 제23권4호
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    • pp.325-337
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    • 2006
  • A hybrid structural design and optimization methodology that combines the strengths of genetic algorithms, local search techniques, and parallel computing is developed to evolve optimal truss systems in this research effort. The primary objective that is met in evolving near-optimal or optimal structural systems using this approach is the capability of satisfying user-defined design criteria while minimizing the computational time required. The application of genetic algorithms to the design and optimization of truss systems supports conceptual design by facilitating the exploration of new design alternatives. In addition, final shape optimization of the evolved designs is supported through the refinement of member sizes using local search techniques for further improvement. The use of the hybrid approach, therefore, enhances the overall process of structural design. Parallel computing is implemented to reduce the total computation time required to obtain near-optimal designs. The support of human-computer interaction during layout optimization and local optimization is also discussed since it assists in evolving optimal truss systems that better satisfy a user's design requirements and design preferences.

잘림구조 집중기에 기초한 O(logN) 깊이의 라우팅 구조 (O(logN) Depth Routing Structure Based on truncated Concentrators)

  • Lee, Jong-Keuk
    • 한국멀티미디어학회:학술대회논문집
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    • 한국멀티미디어학회 1998년도 춘계학술발표논문집
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    • pp.366-370
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    • 1998
  • One major limitation of the efficiency of parallel computer designs has been the prohibitively high cost of parallel communication between processors and memories. Linear order concentrators can be used to build theoretically optimal interconnection schemes. Current designs call for building superconcentrators from concentrators, then using these to recursively partition the connection streams O(log2N) times to achieve point-to-point routing. Since the superconcentrators each have O(N) hardware complexity but O(log2N) depth, the resulting networks are optimal in hardware, but they are of O(log2N) depth. This pepth is not better than the O(log2N) depth Bitonic sorting networks, which can be implemented on the O(N) shuffle-exchange network with message passing. This paper introduces a new method of constructing networks using linear order concentrators and expanders, which can be used to build interconnection networks with O(log2N) depth as well as O(Nlog2N) hardware cost. (All logarithms are in base 2 throughout paper)

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농업 기본통계 및 가축통계 조사 표본설계 (Sample designs of the farm population survey and the livestock survey)

  • 김규성;전종우;박홍래
    • 응용통계연구
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    • 제7권1호
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    • pp.47-58
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    • 1994
  • 본 연구에서는 농업 기본통계 조사 표본설계와 가축통계 조사 표본설계를 제안한다. 농업 기본통계는 시.군 단위의 통계를, 그리고 가축통계는 시.도 단위의 통계를 생산할 수 있도록 설계하였다. 두 설계 모두 현행 표본보다 표본수를 줄여 표본조사의 업무량을 줄였고, 이를 위해 시.군 단위의 층화(농업 기본통계)와 시.도 단위의 층화(가축통계)를 하였으며, 특히 가축통계에서는 유의표본과 전수조사가구를 선정하여 설계의 효과를 높였다. 그 밖에 연속조사임을 감안하여 표본관리 및 표본대체 방법을 언급하였다.

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메시 유전 알고리듬을 이용한 퍼지 규칙 동정 (Fuzzy Rule Identification Using Messy Genetic Algorithm)

  • 권오국;장욱;주영훈;박진배
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1997년도 추계학술대회 학술발표 논문집
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    • pp.252-256
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    • 1997
  • The success of a fuzzy neural network(FNN) control system solving any given problem critically depends on the architecture of the network. Various attempts have been made in optimizing its structure using genetic algorithm automated designs. This paper presents a new approach to structurally optimized designs of FNN models. A messy genetic algorithm is used to obtain structurally optimized FNN models. Structural optimization is regarded important before neural networks based learning is switched into. We have applied the method to the problem of a numerical approximation

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