• 제목/요약/키워드: Case Adaptation

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사례기반추론을 이용한 조립공정 설계

  • 서윤호;이규형;신동목;김태운
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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    • pp.1108-1115
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    • 2003
  • This paper Introduces a method to automate process design using Case Based Reasoning technique. A case is represented hierarchically through functional requirement, behavioral model, and process mechanism model Specifically, a case retrieval algorithm to use function and behavior, case adaptation method to use hierarchical case representation, and a machine selection method are presented.

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영상콘텐츠에서 테마공간으로의 전환 양상:각색을 통한 재현을 중심으로 (Conversional Aspect of The Theme Space Based on Visual Image Content:A Focus on Representation through Adaptation)

  • 신동희;김희경
    • 한국콘텐츠학회논문지
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    • 제12권4호
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    • pp.186-197
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    • 2012
  • 본 논문은 영상콘텐츠에서 공간콘텐츠로의 전환의 핵심을 각색(adaptation)에 두고, 테마공간의 원형콘텐츠인 영상콘텐츠가 어떻게 각색되어 공간으로 재현되어야 하는가를 밝히는 것을 목적으로 한다. 또한 스토리텔링에 대한 연구는 무수히 많이 쏟아져 나오고 있고, 소설의 영화화나 TV드라마화, 영화의 게임화나 그 반대와 관련한 각색 연구는 많지만 영상콘텐츠에서 테마공간으로 전환 시의 각색의 방법과 스토리텔링의 전단계라는 측면에서의 각색에 대한 연구는 부족한 편이다. 우선 각색의 정의를 내리고, 자네티와 더들리의 각색방법을 차용하여 영상콘텐츠의 테마공간화에 적용해 보았다. 이어서 테마공간의 특징을 살펴본 후 테마공간은 결국 영상콘텐츠의 이야기 이미지 행위의 재현 장소임을 사례분석과 함께 밝히고, 각각 어떤 각색을 통해 재현되고 있는가를 분석하였다. 연구결과 공간의 스토리텔링보다 각색이 선행작업이어야 하고, 3인칭 시점의 영상콘텐츠와는 달리 1인칭 시점의 테마공간 재현의 핵심은 관람이 아닌 체험임을 확인하였다. 따라서 본 논문에서는 영상콘텐츠에서 테마공간의 전환은 단순한 모방이 아니라 새로운 콘텐츠로 재창조되었음을 밝혔다. 향후 다양한 테마공간의 구체적인 각론적 층위에서의 분석을 통해 양자간의 전환이 효과적으로 작용하고, 다양한 각색 방법이 실질적으로 적용되기를 기대한다.

에어컨 온도상승에 따른 온열쾌적성 변화에 관한 연구 (Research on Thermal Comfort by Increasing Air Conditioner Temperature)

  • 김형철;금종수;김동규;정용현
    • 수산해양교육연구
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    • 제18권2호
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    • pp.77-84
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    • 2006
  • This research evaluates thermal comfort by comparing the case of maintain cooing temperature of room with the case of raising it at the point of time that human body begins to adapt. An experiment uses constant temperature & humidity chamber 2 places. Pretesting room make up summer season environment, the testing room control by air-conditioner. In condition that maintain temperature of $33^{\circ}C$. The subjects stay in the pretesting room during the 30 minute for the heat storage amount of the normal summertime. The subjects stay in the testing room under each case (case 1: maintaining $24^{\circ}C$, case 2: maintaining $26^{\circ}C$, case 3: up $1^{\circ}C$ after maintaining $24^{\circ}C$ during 30 minute, case 4: up $1^{\circ}C$ after maintaining $26^{\circ}C$ during 40 minute). 1. Result of comparison of case 1 and case 2 appears that thermal sensitive vote examine from slight cool to cool and thermal comfort examine slight comfort by temperature rise at human body adaptation point of time.2. Test of case 3 and case 4 appear similar value at thermal sensitive vote and thermal comfort.3. Through the case 2 and case 4, continuous thermal comfort maintain at $24^{\circ}C$, if raise $26^{\circ}C$, same thermal comfort maintain after a human body adaptation temperature rising effect bring energy saving.

뇌졸중환자의 일상생활활동의 만족과 사회적응 능력 증진 사례연구 (A Case Study on the Improvement of Daily Living Activities, Satisfaction and Social Adaptation Performance Among Stroke Patients)

  • 김명섭;김정자
    • 한국임상보건과학회지
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    • 제5권3호
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    • pp.973-980
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    • 2017
  • Purpose. To understand the effectiveness of training programs to improve the daily living activities and social adaption abilities of stroke patients. Methods. The participant included 1 stroke patient in Jeonbuk, from March to August 2016. The test tools used was the Canadian occupational performance measurement, International classification of function, disability and health co-resets. After applying the training program, I compared the daily life satisfaction and social adaption abilities. Results. According to this study, both daily life satisfaction and social adaption abilities improved. Conclusion. In conclusion, after an exercise program, self- help program, and underwater exercise programs, daily life satisfaction and social adaptation levels were improved. Therefore, the programs that apply to stroke patients could be found to be effective.

서보 전동기 속도 제어를 위한 적응 퍼지 제어기 (Adaptive Fuzzy Controller for Speed Control of Servo Motor)

  • 손재현;노청민;김낙교;남문현
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1995년도 하계학술대회 논문집 B
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    • pp.947-949
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    • 1995
  • In this paper, model reference adaptive fuzzy controller (MRAFC) was proposed in order to overcome the difficulty of extracting rules and defects of the adaptation performance in the FLC. MRAFC comprised inner feedback loop consisting of the FLC and plant, and outer loop consisting of an adaptation mechanism which is designed for tuning a control rule of the FLC. A reference-model was used for design criteria of a fuzzy controller which characterizes and quantizes the control performance required in the overall control system. Tuning control rules of FLC is performed by the adaptation mechanism. For this, the fuzzy model for tuning the contorl rules is designed in accordance with the feature of error information. And DC servo motor was selected for case study of actual industrial plant and tested on various loads.

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Analysis of Strategies to Attain a Resilience Approach in Adaptation to Urban Flooding

  • Choi, Gye-Woon;Gourbesville, Philippe;Rio, Alicia Del
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2010년도 학술발표회
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    • pp.620-624
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    • 2010
  • The Integrated Flood Management (IFM) concept intends to obtain the maximum of benefits from the use of floodplains and the minimum of losses from flooding which seems to be the ideal outcome of flood management. For this, different strategies are recommended in order to reach this objective. The implementation of this concept leads to a resilience approach for the adaptive management of floods and is currently on its way to be better understood and integrated as part of the water resources management. There exist a fair amount of strategies to adapt to flooding that have been recommended or already implemented either as planned or autonomous ways of adaptation but their effectivity depends on the specific case where they are applied. This is why this paper looks to give a better overview of the different recommended or implemented strategies by analyzing them regarding their inherent advantages and disadvantages.

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Hybrid Neuro-Fuzzy Network를 이용한 실시간 주행속도 추정 (The Estimation of Link Travel Speed Using Hybrid Neuro-Fuzzy Networks)

  • 황인식;이홍철
    • 대한산업공학회지
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    • 제26권4호
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    • pp.306-314
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    • 2000
  • In this paper we present a new approach to estimate link travel speed based on the hybrid neuro-fuzzy network. It combines the fuzzy ART algorithm for structure learning and the backpropagation algorithm for parameter adaptation. At first, the fuzzy ART algorithm partitions the input/output space using the training data set in order to construct initial neuro-fuzzy inference network. After the initial network topology is completed, a backpropagation learning scheme is applied to optimize parameters of fuzzy membership functions. An initial neuro-fuzzy network can be applicable to any other link where the probe car data are available. This can be realized by the network adaptation and add/modify module. In the network adaptation module, a CBR(Case-Based Reasoning) approach is used. Various experiments show that proposed methodology has better performance for estimating link travel speed comparing to the existing method.

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벤쳐 투자를 위한 의사결정 클래스 분석 : 사례기반추론 접근방법 (Analyzing a Class of Investment Decisions in New Ventures : A CBR Approach)

  • Lee, Jae-Kwang;Kim, Jae-Kyeong
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 1999년도 추계학술대회-지능형 정보기술과 미래조직 Information Technology and Future Organization
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    • pp.355-361
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    • 1999
  • An application of case-based reasoning is proposed to build an influence diagram for identifying successful new ventures. The decision to invest in new ventures in characterized by incomplete information and uncertainty, where some measures of firm performance are quantitative, while some others are substituted by qualitative indicators. Influence diagrams are used as a model for representing investment decision problems based on incomplete and uncertain information from a variety of sources. The building of influence diagrams needs much time and efforts and the resulting model such as a decision model is applicable to only one specific problem. However, some prior knowledge from the experience to build decision model can be utilized to resolve other similar decision problems. The basic idea of case-based reasoning is that humans reuse the problem solving experience to solve a new decision. In this paper, we suggest a case-based reasoning approach to build an influence diagram for the class of investment decision problems. This is composed of a retrieval procedure and an adaptation procedure. The retrieval procedure use two suggested measures, the fitting ratio and the garbage ratio. An adaptation procedure is based on a decision-analytic knowledge and decision participants knowledge. Each step of procedure is explained step by step, and it is applied to the investment decision problem in new ventures.

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Cost-Sensitive Case Based Reasoning using Genetic Algorithm: Application to Diagnose for Diabetes

  • Park Yoon-Joo;Kim Byung-Chun
    • 한국지능정보시스템학회:학술대회논문집
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    • 한국지능정보시스템학회 2006년도 춘계학술대회
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    • pp.327-335
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    • 2006
  • Case Based Reasoning (CBR) has come to be considered as an appropriate technique for diagnosis, prognosis and prescription in medicine. However, canventional CBR has a limitation in that it cannot incorporate asymmetric misclassification cast. It assumes that the cast of type1 error and type2 error are the same, so it cannot be modified according ta the error cast of each type. This problem provides major disincentive to apply conventional CBR ta many real world cases that have different casts associated with different types of error. Medical diagnosis is an important example. In this paper we suggest the new knowledge extraction technique called Cast-Sensitive Case Based Reasoning (CSCBR) that can incorporate unequal misclassification cast. The main idea involves a dynamic adaptation of the optimal classification boundary paint and the number of neighbors that minimize the tatol misclassification cast according ta the error casts. Our technique uses a genetic algorithm (GA) for finding these two feature vectors of CSCBR. We apply this new method ta diabetes datasets and compare the results with those of the cast-sensitive methods, C5.0 and CART. The results of this paper shaw that the proposed technique outperforms other methods and overcomes the limitation of conventional CBR.

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호버링 로터 성능해석을 위한 수치기법 연구 (NUMERICAL TECHNIQUES FOR HOVERING ROTOR PERFORMANCE ANALYSIS)

  • 김철완;박영민;장병희
    • 한국전산유체공학회:학술대회논문집
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    • 한국전산유체공학회 2006년도 추계 학술대회논문집
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    • pp.151-154
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    • 2006
  • In the present paper, hovering performance analyses of proprotor and helicopter rotor blades were performed by using FLUENT software. As a proprotor, TRAM(Tilt Rotor Aeroacoustic Model) was selected and performance analysis was carried out with mesh adaptation for more elaborate solution. As a helicopter rotor blades, two bladed Caradonna and Tung's rotor and four-bladed BO-105 helicopter rotor blades were selected. In case of Caradonna and Tung's rotor, vortex trajectory was compared with experimental data to inspect the vortex convection capability of the present flow solver. For the final case, performance of BO-105 helicopter rotor blades was investigated and compared with experimental data. After performance analyses of proprotor and helicopter rotors, it was shown that the present solver showed reasonable vortex strength, wake geometry and thurst coefficient distributions. But power coefficient was somewhat overestimated about $10%{\sim}15%$ regard less of mesh adaptation.

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