• 제목/요약/키워드: Dempster-Shafer's rule

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소속함수와 Dempster-Shafer 증거합 법칙을 이용한 긴장도 평가 알고리즘 개발 (Development of Arousal Level Estimation Algorithm by Membership Function and Dempster-Shafer′s Rule of Combination in Evidence)

  • 정순철
    • 감성과학
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    • 제5권1호
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    • pp.17-24
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    • 2002
  • 본 연구는 객관적인 생리신호로부터 인간의 감성을 추론할 수 있는 감성평가 전문가 시스템을 개발하기 위한 첫 번째 단계로 측정된 생리신호를 이용하여 인간의 긴장도를 판단하는 알고리즘의 개발을 목표로 한다. 감성평가와 관련된 애매함을 수리적으로 취급하기 위해 퍼지이론을 적용하여 임의의 감성영역에 속하는 정도를 소속함수로 정량화함으로써 감성평가를 가능하게 하고자 하였다. 소속함수의 결정은 상상을 통해 유발된 긴장/이완의 생리신호 데이터베이스 결과를 사용하였다. 그리고 두 가지 이상의 생리신호 측정결과와 각 생리신호의 소속함수로부터 하나의 최종결과(긴장도)를 유추하기 위해서 Dempster-Shafer증거합 법칙을 적용하였고, 이를 통해 최종적인 긴장도를 도출할 수 있도록 하였다.

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Dempster-Shafer 룰 결합을 이용한 변압기 보호계전 알고리즘 (Transformer Protective Relaying Algorithm Using A Dempster-Shafer'a Rule of Combination)

  • 강대훈;이승재;강상희;김상태;권태원;김일동;장병태;임성일
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1998년도 하계학술대회 논문집 C
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    • pp.1094-1096
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    • 1998
  • An intelligent power transformer protective relaying algorithm based on fuzzy decision-making is proposed. To distinguish external faults with CT saturation, overexcitation and inrush conditions from internal faults, a newly designed fuzzy-rule base is used. The Dempster-Shafer's rule of combition is used for fuzzy inference. A series of the S/W and H/W tests show the proposed protection algorithm has practically sufficient sensitivity and selectivity.

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High Accuracy Classification Methods for Multi-Temporal Images

  • Hong, Sun Pyo;Jeon, Dong Keun
    • The Journal of the Acoustical Society of Korea
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    • 제16권1E호
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    • pp.3-8
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    • 1997
  • Three new classification methods for multi temporal images are proposed. They are named as a likelihood addition method, a likelihood majority method and a Dempster-Shafer's rule method. Basic strategies using these methods are to calculate likelihoods for each temporal data and to combine obtained likelihoods for final classification. These three methods use different combining algorithms. From classification experiments, following results were obtained. The method based on Dempster-Shafer's rule of combination showed about 12% improvement of classification accuracies compared to a conventional method. This method needed about 16% more processing times than that of a conventional method. The other two proposed method showed 1% to 5% increase of classification accuracies. However processing times of these two proposed method showed 1% to 5% increase of classification accuracies. However processing times of these two methods are almost the same with that of a conventional method. Among the newly proposed three methods, the Dempster-Shafer's rule method showed the highest classification accuracies with more processing time than those of other methods.

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An Improved Dempster-Shafer Algorithm Using a Partial Conflict Measurement

  • Odgerel, Bayanmunkh;Lee, Chang-Hoon
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제16권4호
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    • pp.308-317
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    • 2016
  • Multiple evidences based decision making is an important functionality for computers and robots. To combine multiple evidences, mathematical theory of evidence has been developed, and it involves the most vital part called Dempster's rule of combination. The rule is used for combining multiple evidences. However, the combined result gives a counterintuitive conclusion when highly conflicting evidences exist. In particular, when we obtain two different sources of evidence for a single hypothesis, only one of the sources may contain evidence. In this paper, we introduce a modified combination rule based on the partial conflict measurement by using an absolute difference between two evidences' basic probability numbers. The basic probability number is described in details in Section 2 "Mathematical Theory of Evidence". As a result, the proposed combination rule outperforms Dempster's rule of combination. More precisely, the modified combination rule provides a reasonable conclusion when combining highly conflicting evidences and shows similar results with Dempster's rule of combination in the case of the both sources of evidence are not conflicting. In addition, when obtained evidences contain multiple hypotheses, our proposed combination rule shows more logically acceptable results in compared with the results of Dempster's rule.

컴포넌트 소프트웨어 품질 평가 모듈 설계 (Design of Quality Evaluation Criteria for Component Software)

  • 유지현;이병걸
    • 인터넷정보학회논문지
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    • 제4권1호
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    • pp.39-52
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    • 2003
  • 사회 및 경제가 발전함에 따라 소프트웨어 품질에 관심이 많아지며 고품질의 소프트웨어 생산을 위한 노력이 많이 이루어지고 있다. 이러한 소프트웨어의 가치를 평가하기 위해 ISO/IEC 9126 등의 표준안들이 많이 제공되고 있지만, 이러한 표준안들은 소프트웨어 항목 특성 및 평가 프로세스의 모형만을 제시하고 있을 뿐 평가 시 측정되는 평가 항목의 가중치에 대한 언급은 없다. 이에 본 논문에서는 ISO/IEC 9126의 지침에 따라 소프트웨어의 품질을 평가함에 있어 평가 항목간의 중요도 관계를 나타내는 평가 항목 가중치를 객관적이고 정량적인 방법으로 산출하여 품질 평가의 신뢰성을 높이고자 한다. 이러한 평가 항목에 대한 가중치 계산 방법의 바탕이 되는 이론으로, 각각의 평가 항목에 대한 신뢰 함수를 사용하여 평가 기준의 불확실성을 제거할 수 있게 하는 Dempster-Shafer 이론을 사용하며 더 나아가 Dempster-Shafer이론의 결합 규칙의 문제점을 개선하여 상호 배타적인 가설들의 결합 문제에도 효율적으로 적용하였다. 또한 평가자들의 정성적 인 표현으로부터 기초확률할당함수 값을 도출하는 정량화 기법의 사용으로 보다 효율적인 가중치 결정 기법을 제안하였다.

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Dempster 결합룰에 의한 전력용 변압기 외란상태판정 (Disturbance State Identification of Power Transformer Based on Dempster's Rule of Combination)

  • 강상희;이승재;권태원;김상태;강용철;박종근
    • 대한전기학회논문지:전력기술부문A
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    • 제48권12호
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    • pp.1479-1485
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    • 1999
  • This paper proposes a fuzzy decision making method for power transformer protection to identify an internal fault from other transient states such as inrush, over-excitation and an external fault with current transformer (CT) saturation. In this paper, analyzing over 300 EMTP simulations of disturbances, four input variables are selected and fuzzified. At every sampling interval from half to one cycle after a disturbance, from the EMPT simulations, different fuzzy rule base is composed of twelve if-then fuzzy rules associated with their basic probability assignments for singleton- or compound-support hypotheses. Dempster's rule of combination is used to process the fuzzy rules and get the final decision. A series of test results clearly indicate that the method can identify not only an internal fault but also the other transients. The average of relay operation times is about 12(ms). The proposed method is implemented into a Digital Signal Processor (TMS320C31) and tested.

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생리신호를 기반으로 한 자동 감성 평가 전문가 시스템의 개발 (Development of an Automatic Expert System for Human Sensibility Evaluation based on Physiological Signal)

  • 정순철;이봉수;민병찬
    • 대한인간공학회지
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    • 제23권1호
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    • pp.1-12
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    • 2004
  • The purpose of this study was to develop an automatic expert system for the evaluation of human sensibility, where human sensibility can be inferred from objective physiological signals. The study aim was also to develop an algorithm in which human arousal and pleasant level can be judged by using measured physiological signals. Fuzzy theory was applied for mathematical handling of the ambiguity related to evaluation of human sensibility. and the degree of belonging to a certain sensibility dimension was quantified by membership function through which the sensibility evaluation was able to be done. Determining membership function was achieved using results from a physiological signal database of arousal/relaxation and pleasant/unpleasant that was generated from imagination. To induce one final result (arousal and pleasant level) based on measuring the results of more than 2 physiological signals and the membership function of each physiological signal. Dempster-Shafer's rule of combination in evidence was applied, through which the final arousal and pleasant level was inferred.

다양한 기준과 Dempster 결합룰에 의한 1차 배전 보호 계통 평가방안 (A New Evaluation Methodology for Protection Systems of Primary Distribution Systems Considering Multi-Factors Based on Dempster's Combination Rule)

  • 이승재;강상희;김상태;장중구
    • 대한전기학회논문지:전력기술부문A
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    • 제48권11호
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    • pp.1401-1409
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    • 1999
  • In this paper, a conceptual framework of a new concept of protectability is proposed, which indicates the protection level of the system. Evaluation attributes have been identified and a hierarchical evaluation model has been established. Dempster-Shafer Theory of Evidence is applied in combining multiple uncertain judgements to produce an aggregated evaluation.

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추론 이론과 퍼지 컨트롤러 결합에 의한 이동 로봇의 자유로운 주변 환경 인식 (Reliable Navigation of a Mobile Robot in Cluttered Environment by Combining Evidential Theory and Fuzzy Controller)

  • 김영철;조성배;오상록
    • 한국지능시스템학회:학술대회논문집
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    • 한국퍼지및지능시스템학회 2001년도 춘계학술대회 학술발표 논문집
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    • pp.136-139
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    • 2001
  • This paper develops a sensor based navigation method that utilizes fuzzy logic and the Dempster-Shafer evidence theory for mobile robot in uncertain environment. The proposed navigator consists of two behaviors: obstacle avoidance and goal seeking. To navigate reliably in the environment, we make a map building process before the robot finds a goal position and create a robust fuzzy controller. In this paper, the map is constructed on a two-dimensional occupancy grid. The sensor readings are fused into the map using D-S inference rule. Whenever the robot moves, it catches new information about the environment and replaces the old map with new one. With that process the robot can go wandering and finding the goal position. The usefulness of the proposed method is verified by a series of simulations. This paper deals with the fuzzy modeling for the complex and uncertain nonlinear systems, in which conventional and mathematical models may fail to give satisfactory results. Finally, we provide numerical examples to evaluate the feasibility and generality of the proposed method in this paper.

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Fuzzy 추론을 이용한 3상 전력용 변압기 보호계전 알고리즘 (3 phase Power Transformer Protective Relaying Algorithm based on Fuzzy Inference)

  • 김상태;진보건;정상기;이승재;강상희;윤상현;이상윤
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 A
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    • pp.197-199
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    • 2000
  • The various criteria to identify the disturbances of the power transformer has been reported in this paper. They have been derived through EMTP simulations of internal faults, inrush and overexcitation for the model of 154/22.9[kV], 40[MVA], Y-Y three-phase power transformer. We also propose the algorithm which makes bpa Functions and infers the final decision from them based on Modfied Dempster-Shafer's rule of combination.

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