• 제목/요약/키워드: Goal model

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동기 및 인지 변인이 화학 선다형 수리 문제 해결에 미치는 영향: 성취 목적, 유능감, 학습 전략, 자기 조절 능력 (The Impact of Motivational and Cognitive Variables on Multiple-Choice Algorithmic Chemistry Problem Solving: Achievement Goal, Perceived Ability, Learning Strategy, and Self-Regulation)

  • 전경문;박현주;노태희
    • 한국과학교육학회지
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    • 제26권1호
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    • pp.1-8
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    • 2006
  • 본 연구에서는 고등학교 학생들의 성취 목적(과제지향/수행 지향/수행 회피), 유능감 등의 동기 변인과 학습 전략(심층적/피상적), 자기 조절 능력 등의 인지 변인 및 화학 선다형 수리 문제 해결력 사이의 인과관계를 경로 분석을 통해 조사하였다. 연구 결과, 유능감과 과제 지향 목적은 자기 조절 능력을 통하여 화학 수리 문제 해결력에 긍정적 영향을 미쳤으며, 특히 유능감은 인지 변인을 경유하지 않고도 직접적으로 화학 수리 문제 해결력에 긍정적 영향을 주는 것으로 조사되었다. 인지 변인 중 심층적 학습 전략은 유능감과 과제 지향 목적의 영향을 받았고 피상적 학습 전략은 수행 회피 목적의 영향을 받았으나, 이러한 학습 전략과 화학 수리 문제 해결력 사이에는 인과관계가 존재하지 않았다.

RC deep beams with unconventional geometries: Experimental and numerical analyses

  • Vieira, Agno Alves;Melo, Guilherme Sales S.A.;Miranda, Antonio C.O.
    • Computers and Concrete
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    • 제26권4호
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    • pp.351-365
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    • 2020
  • This work presents numerical and experimental analyses of the behavior of reinforced-concrete deep beams with unconventional geometries. The main goal here is to experimentally and numerically study these geometries to find possible new behaviors due to the material nonlinearity of reinforced concrete with complex geometries. Usually, unconventional geometries result from innovative designs; in general, studies of reinforced concrete structures are performed only on conventional members such as beams, columns, and labs. To achieve the goal, four reinforced-concrete deep beams with geometries not addressed in the literature were tested. The models were numerically analyzed with the Adaptive Micro Truss Model (AMTM), which is the proposed method, to address new geometries. This work also studied the main parameters of the constitutive model of concrete based on a statistical analysis of the finite element (FE) results. To estimate the ultimate loads, FE simulations were performed using the Monte Carlo method. Based on the obtained ultimate loads, a probabilistic distribution was created, and the final ultimate loads were computed.

신경회로망 모델을 이용한 이동로봇의 경로생성 알고리즘 (Path planning algorithm of mobile robot using neural network model)

  • 차영엽;유창목
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.1601-1604
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    • 1997
  • The most important topic in research of mobile robot is path planning in order to avoid with obstacle. In this study the path planning algorithm using a neural network model is proposed. The inputs of neural network are range data which are acquired form laser range finderm and weights are based on difference with goal direction. The thresholds are made by consdiering the marginal distance between mobile robot and obstacle. Consequently the outputs are obtained by multiplying input and weight. The obtained heading directiion enables the mobile robot to approach the goal, without any collision with obstacles around. The effectiveness of the this method of real-time navigation of a mobile robot is estimated by computer simulation in complex environment.

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카노 모형을 고려한 고객 요구 속성의 중요도 산정 (Determining the Importance of Customer Attributes with Kano's Model)

  • 김경미
    • 품질경영학회지
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    • 제35권4호
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    • pp.38-51
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    • 2007
  • The House of Quality(HOQ) is used in the development stage to identify important customer attributes and corresponding engineering characteristics. The importance of each customer attribute obtained in the HOQ affects to the quality of the final product or service. Traditionally, such importance is derived based on the assumption that customer satisfaction is linearly proportional to the product performance. In this paper, we propose a nonlinear function so as to relate the product performance with the customer satisfaction according to the Kano model. A performance goal is obtained by maximizing the total customer satisfaction under a cost constraint and the importance of each customer attribute is developed from the performance goal. Therefore, the proposed approach incorporates the Kano categories and the improvement cost in determining the importance of customer attributes.

표적군 기반 공격 편대군 조합 최적화 모형 (Combinatorial Optimization Model of Air Strike Packages based on Target Groups)

  • 조상현;이문걸;장영배
    • 대한산업공학회지
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    • 제42권6호
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    • pp.386-394
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    • 2016
  • In this research, in order to optimize the multi-objective function effectively, we suggested the optimization model to maximize the total destruction of ground targets and minimize the total damage of aircrafts and cost of air munitions by using goal programming. To satisfy the various variables and constraints of this mathematical model, the concept of air strike package is applied. As a consequence, effective attack can be possible by identifying the prior ground targets more quickly. This study can contribute to maximize the ROK air force's combat power and preservation of high value air asset in the war.

일 유출모형의 물수지 분석에 의한 지하수 함양량 추정 (Estimation of Groundwater Recharge by the Water Balance Analysis using DAWAST Model)

  • 이덕주;이호천;이순광;김태철
    • 한국농공학회:학술대회논문집
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    • 한국농공학회 2003년도 학술발표논문집
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    • pp.431-434
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    • 2003
  • This research developed a method for the estimation of groundwater recharge by yielding daily soil moisture content and watershed evapotranspiration from the water balance concept of the unsaturated and saturated layers in rainfall-runoff model called DAWAST. The goal of the research is to estimate the groundwater recharge fulfilling conditions of the safe discharge for any season. To meet this goal, the data of groundwater level and stream flow rate have been monitored in a study area and used to validate the model.

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상차림중심의 지능형 수산물 인터넷 쇼핑몰 개발 (Intelligent Electronic Shoppingmall with Bundle Product Suggestions for Fisheries)

  • 정대율
    • 한국정보시스템학회지:정보시스템연구
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    • 제10권2호
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    • pp.5-32
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    • 2001
  • The main goal of this research is at the development of a bundle product suggestion sub-system of an internet shopping mall for fishery products, which can reduce the search cost of user. To achieve the goal, we first study tie key factors of successful direct commerce for fishery products, and second, we design a bundle product suggestion module and its sub-module. For this, we identify the objectives of system, and write out the necessary functions of the system and models(process model, data model, dynamic model) through the analysis of user requirements. Based on the functions and models, we design user interfaces, database, processes, and knowledge base. In designing knowledge base and inferencing strategy, we consider two intelligent agent approach(optimal algorithms, heuristic rules) and suggest one more approach(case-based reasoning). The intelligent agent can be used in enhancing the suggestion of multiple fishery product simultaneously. The system analysis and design documents presented as the research results can be used to provide good guidelines to the companies who consider developing an production suggestion agents.

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복합배전계통에서 분산형전원의 설치 및 운영을 위한 Fuzzy-GA 응용 (Fuzzy-GA Application for Allocation and Operation of Dispersed Generation Systems in Composite Distribution Systems)

  • 김규호;이유정;이상봉;유석구
    • 대한전기학회논문지:전력기술부문A
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    • 제52권10호
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    • pp.584-592
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    • 2003
  • This paper presents a fuzzy-GA method for the allocation and operation of dispersed generator systems(DGs) based on load model in composite distribution systems. Groups of each individual load model consist of residential, industrial, commercial, official and agricultural load. The problem formulation considers an objective to reduce power loss of distribution systems and the constraints such as the number or total capacity of DGs and the deviation of the bus voltage. The main idea of solving fuzzy goal programming is to transform the original objective function and constraints into the equivalent multi-objectives functions with fuzzy sets to evaluate their imprecise nature for the criterion of power loss minimization, the number or total capacity of DGs and the bus voltage deviation, and then solve the problem using genetic algorithm. The method proposed is applied to IEEE 12 bus and 33 bus test systems to demonstrate its effectiveness. .

정보시스템 투자를 위한 가치모형 설계 (Value Model for Information Systems Investment)

  • 이상원;김성현;박승범;안현섭
    • 한국컴퓨터정보학회:학술대회논문집
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    • 한국컴퓨터정보학회 2014년도 제50차 하계학술대회논문집 22권2호
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    • pp.101-102
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    • 2014
  • Results of Investment mean not results of procedure but the final goal of an organization. That is to say, results focus on success or failure of investment. So, cost effectiveness means financial cost that is affected in order to attain the output of organizational goal. Many enterprises are investing in developing and redeveloping various projects of information systems. But, it is not generally considered to check values with monitoring and evaluating their projects. We propose a new value model for information systems investment.

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유전 알고리듬을 이용한 U형태 혼합모델에서의 작업시간과 육체적 작업부하를 고려한 최적 라인밸런싱 (A U-shape Mixed Model Assembly Line Balancing Problem for Processing Time and Physical Workload Using the Genetic Algorithm)

  • 최경현;김찬우
    • 산업경영시스템학회지
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    • 제28권3호
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    • pp.98-108
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    • 2005
  • The assembly line balancing problem has been focused by many research works because the efficient management of the assembly line might influence not only the quality of the products but also the working conditions for the workers. This paper deals with U-shape mixed-model assembly line balancing and considers both the processing time and the physical workloads. We suggest the goal programming approach for this situation and to overcome some difficulties of finding optimal solution, we adopt the genetic algorithm that is one of the most promising solution techniques. We tested several test problems and present the results that indicate some improvement for the line balancing as well as the stable performance of the algorithm.