• 제목/요약/키워드: Function Module

검색결과 1,057건 처리시간 0.098초

조립 합리화를 위한 제품 모듈화의 결정 요소 (Determination factor of Modularization of a product)

  • 목학수;양태일
    • 한국정밀공학회지
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    • 제15권8호
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    • pp.88-101
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    • 1998
  • In this paper, module of a product is determined by the characteristics of a product itself and art assembly process. To analyze the characteristics o( the product, assembly function, structure of subassembly and parts could be considered. Based on the analysis of characteristics of product structure, assembly process and product function, determination criteria of a module could be proposed. For the assembly process, assembly methods, assembly equipment and workers could be considered. For the product structure, constituent object and structural feature could also be considered. To obtain the interrelationship between the product and the assembly process, the matrix table could be used to find the influencing factors that affected the module.

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OPTIMUM DESIGN OF AN AUTOMOTIVE CATALYTIC CONVERTER FOR MINIMIZATION OF COLD-START EMISSIONS USING A MICRO GENETIC ALGORITHM

  • Kim, Y.D.;Kim, W.S.
    • International Journal of Automotive Technology
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    • 제8권5호
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    • pp.563-573
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    • 2007
  • Optimal design of an automotive catalytic converter for minimization of cold-start emissions is numerically performed using a micro genetic algorithm for two optimization problems: optimal geometry design of the monolith for various operating conditions and optimal axial catalyst distribution. The optimal design process considered in this study consists of three modules: analysis, optimization, and control. The analysis module is used to evaluate the objective functions with a one-dimensional single channel model and the Romberg integration method. It obtains new design variables from the control module, produces the CO cumulative emissions and the integral value of a catalyst distribution function over the monolith volume, and provides objective function values to the control module. The optimal design variables for minimizing the objective functions are determined by the optimization module using a micro genetic algorithm. The control module manages the optimal design process that mainly takes place in both the analysis and optimization modules.

BIM기반 추계학적 공기 예측 모듈 프로토 타입 개발에 관한 연구 (A Study on Proto-type Development of BIM based Stochastic Duration Estimation Module)

  • 박재현;윤석현;백준홍
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2009년도 춘계 학술논문 발표대회 학계
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    • pp.159-162
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    • 2009
  • Today's construction is more various and more complex. Because of that, a lot of uncertain factors are occurred and they related uncertain construction duration. For management complex architecture project, importance of construction schedule management also increased. In previous studies, one of solutions to overcome those problems is suggested. It was BIM based construction simulation process which focused on construction schedule and construction schedule management. But latest process had limited point which has no duration estimation function. So this paper suggested duration estimation method and developed duration estimation module. Duration estimation module developed with current scheduling tool MS Project and their macro function. However, this module has just developed Reinforced Concrete Structure and has to do more development and research.

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자동차용 모듈화 도어의 동특성 평가 시험법 개발 (The Development of Evaluation Process for Dynamic Characteristics of Door Module)

  • 배철용;김찬중;권성진;이봉현;장운성;이준우
    • 한국소음진동공학회:학술대회논문집
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    • 한국소음진동공학회 2007년도 추계학술대회논문집
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    • pp.291-296
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    • 2007
  • This study presents the evaluation process for door module. Its objective evades the resonance generated at module plate due to the operation of window regulator motor. For this study, the design improvement process is composed of experimental methods having three steps. First step is modal analysis at door assembly status for acquisition of dynamic characteristics which are modal frequency and damping. Second step is a vibration experiment to get the test mode considered an efficiency of window regulator motor. Last step is a vibration measurement by the form of $6{\times}6$ array on module plate. A vibration measurement of 6x6 array form can be got to three analysis results which are a transfer path of vibration using cross correlation function, a vibration map using OA level and a contribution by frequency band using coherent output power spectrum on module plate. These results are applied to SDM(structural dynamic modification) for design improvement to get around the resonance on module plate by the excitation of window regulator motor.

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자동차용 모듈화 도어의 동특성 분석에 관한 연구 (A Study on the Dynamic Characteristics of Door Module for Vehicle)

  • 배철용;김찬중;권성진;이봉현;장운성;이준우
    • 한국소음진동공학회논문집
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    • 제17권11호
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    • pp.1093-1101
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    • 2007
  • This study presents the design improvement process for door module. Its objective evades the resonance generated at module plate due to the operation of window regulator motor. For this study, the design improvement process is composed of experimental methods having three steps. First step is modal analysis at door assembly status for acquisition of dynamic characteristics which are modal frequency and damping. Second step is a vibration experiment to get the test mode considered an efficiency of window regulator motor. Last step is a vibration measurement by the form of $6{\times}6$ array on module plate. A vibration measurement of $6{\times}6$ array form can be got to three analysis results which are a transfer path of vibration using cross correlation function, a vibration map using OA level and a contribution by frequency band using coherent output power spectrum on module plate. These results are applied to SDM(structural dynamic modification) for design improvement to get around the resonance on module plate by the excitation of window regulator motor.

General Purpose Optical Fuzzy Computing Modules

  • Mamano, Kazuho
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 1993년도 Fifth International Fuzzy Systems Association World Congress 93
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    • pp.777-780
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    • 1993
  • Three optical fuzzy calculating modules, MAX/MIN, NOT/THROUGH, and SUP/THROUGH operating modules, are proposed. The MAX/MIN operating on inputted 2 membership functions. The NOT/THROUGH operating module calculates the complement of the membership function. The SUP/THROUGH operating module outputs an image representing the supremum (least upper bound) of the membership function. The THROUGH operation passes the image of the inputted membership function from the entrance to the exit. This paper demonstrates that these modules can output the image into which the modules transform inputted images on the basis of operation on fuzzy logic.

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문화위성계정 체계 (System of Culture Satellite Account)

  • 김지영
    • Communications for Statistical Applications and Methods
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    • 제17권6호
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    • pp.879-889
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    • 2010
  • 본 논문은 국민계정의 문화부문 위성계정인 문화위성계정의 체계와 우리나라가 문화위성계정을 작성하기 위해 필요한 사항 등을 내용으로 한다. 문화위성계정은 각기 개별적 기능을 갖는 5개 부문으로 구성하도록 권고되고 있다. 동 권고안에 의하면 제 1부문부터 제 4부문까지는 각각 해당부문의 공급과 수요측면의 통계를 수록하도록 되어 있고, 제 5부문은 참고사항 모듈(documentation module)로 편제하도록 권고되고 있다. 문화위성계정의 제 1부문은 문화활동 개요 모듈(macro-information module), 제 2부문은 문화생산량 모듈(quantity/volume output module), 제 3부문은 특성 모듈(characterization module), 제 4부문은 목표분석 모듈(targeted analysis/analytical module)로 구성된다.

모듈화된 웨이블렛 신경망의 적응 구조 (Adaptive Structure of Modular Wavelet Neural Network)

  • 서재용;김용택;김성현;조현찬;전홍태
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 추계학술대회 학술발표 논문집
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    • pp.247-250
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    • 2001
  • In this paper, we propose an growing and pruning algorithm to design the adaptive structure of modular wavelet neural network(MWNN) with F-projection and geometric growing criterion. Geometric growing criterion consists of estimated error criterion considering local error and angle criterion which attempts to assign wavelet function that is nearly orthogonal to all other existing wavelet functions. These criteria provide a methodology that a network designer can constructs wavelet neural network according to one's intention. The proposed growing algorithm grows the module and the size of modules. Also, the pruning algorithm eliminates unnecessary node of module or module from constructed MWNN to overcome the problem due to localized characteristic of wavelet neural network which is used to modules of MWNN. We apply the proposed constructing algorithm of the adaptive structure of MWNN to approximation problems of 1-D function and 2-D function, and evaluate the effectiveness of the proposed algorithm.

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PCA와 입자 군집 최적화 알고리즘을 이용한 얼굴이미지에서 특징선택에 관한 연구 (A Study on Feature Selection in Face Image Using Principal Component Analysis and Particle Swarm Optimization Algorithm)

  • 김웅기;오성권;김현기
    • 전기학회논문지
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    • 제58권12호
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    • pp.2511-2519
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    • 2009
  • In this paper, we introduce the methodological system design via feature selection using Principal Component Analysis and Particle Swarm Optimization algorithms. The overall methodological system design comes from three kinds of modules such as preprocessing module, feature extraction module, and recognition module. First, Histogram equalization enhance the quality of image by exploiting contrast effect based on the normalized function generated from histogram distribution values of 2D face image. Secondly, PCA extracts feature vectors to be used for face recognition by using eigenvalues and eigenvectors obtained from covariance matrix. Finally the feature selection for face recognition among the entire feature vectors is considered by means of the Particle Swarm Optimization. The optimized Polynomial-based Radial Basis Function Neural Networks are used to evaluate the face recognition performance. This study shows that the proposed methodological system design is effective to the analysis of preferred face recognition.

Design of Intelligent Transportation Control System Based on Blockchain Technology

  • Xia, Wei
    • Journal of Information Processing Systems
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    • 제18권6호
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    • pp.763-769
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    • 2022
  • Transportation allocation requires information such as storage location and order information. In order to guarantee the safe transmission and real-time sharing of information in all links, an intelligent transportation control system based on blockchain technology is designed. Firstly, the technical architecture of intelligent transportation information traceability blockchain and the overall architecture of intelligent transportation control system were designed. Secondly, the transportation management demand module and storage demand management module were designed, and the control process of each module was given. Then, the type of intelligent transportation vehicle was defined, the objective function of intelligent transportation control was designed, and the objective function of intelligent transportation control was constructed. Finally, the intelligent transportation control was realized by genetic algorithm. It was found that when the transportation order volume was 50×103, and the CPU occupancy of the designed system was only 11.8%. The reliability attenuation of the code deletion scheme was lower, indicating better performance of the designed system.