• Title/Summary/Keyword: 인과추론

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Development of Diagnosis System Based on Alarm Processing (경보처리 기반 진단 시스템 개발)

  • 정학영;박혁신
    • Journal of Intelligence and Information Systems
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    • v.4 no.1
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    • pp.103-114
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    • 1998
  • 본 논문은 화력발전소 적용을 위한 경보처리 기반 고장진단 전문가 시스템(APDX(Alarm Processing and Diagnosis Expert System)개발에 관하여 논의한다. 본 연구에서 제시된 경보처리 알고리즘은 근본적으로는 경보 인과관계 트리를 사용하고 있으나 최종 원인 경보선택에 있어서는 경보 발생시간과 경보 우선순위 Meta-Rul를 활용한다. 경보처리 모듈에서 처리된 원인경보를 근거로 하여 본 원인경보와 관련된 고장부위를 진단하게 된다. 진단모듈에서는 경보에 관련된 센서들과 고장들 사이의 관계를 정상적으로 모델링하고 센서들의 트랜드를 정성적 해석기로 분석하여 증가, 정상, 감소의 세가지 상태에 대한 신뢰도를 출력한다. 또한 각 경보로부터 고장이 예상되는 고장타입을 센서 천이도로 모델링하여 진단에 활용된다. 최종적으로 추론모듈에서 퍼지(Fuzzy) 추론 알고리즘을 이용하여 모델된 고장 타입과 계산된 고장과의 매칭과정을 통하여 진단을 수행하게 되며, 계산 창 (Window)를 변경하면서 고장을 재 확인하게 된다.

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Verification of Automobile Collision Accident Reconstruction Using Qualitative Reasoning (정성적 추론을 이용한 자동차 충돌 사고 재구성의 검증)

  • 김현경;명한나;한인환
    • Korean Journal of Cognitive Science
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    • v.10 no.4
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    • pp.63-70
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    • 1999
  • Reconstruction of collision accidents is to analyze the cause of accidents and collision behavior using available information from vehicle accident circumstances. This paper introduces a collision reconstruction system which is developed to be applicable to traffic accident reconstruction. Our System combines both quantitative and qualitative collision models so as to compensate for weaknesses in each with strengths of each other. I It provides accurate predictions and causal explanations of the collision behavior. During r reverse analysis of collision. qualitative simulation is used to verify a hypothesis and to detect any conflict in early stage of reconstruction. It is implemented and applied to real car-to-car collision accidents. The test results verify the reliabilities of our techniques.

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An Analysis of Undergraduate Students' Mental Models on the Mechanism of the Moon Craters Formation (달 크레이터 생성에 대한 대학생들의 정신모형 분석)

  • Lee, Ho;Cho, Hyun-Jun;Lee, Hyo-Nyong
    • Journal of the Korean earth science society
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    • v.28 no.6
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    • pp.655-672
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    • 2007
  • The purpose of this study was to investigate information sources and types of reasoning that non-astronomy major undergraduate students used to build their mental models on the mechanism of the Moon craters formation. In-depth interview was used to collect qualitative data, and the questions for the interview were developed through an analytical induction method. We interviewed four students individually by using Seidman's interview step. The findings revealed that the participants built nonscientific mental models, and yet they held a consistent explanatory framework. The students explained that the crater was made by the fall of a meteorite. They all suggested a similar shape of meteorite even though their drawings about the shape of craters and its related to variables were different from one another. The information sources that the participants used fur their explanatory frameworks were varied, i.e., daily experiences, subject knowledges, and intuition. In addition, they used causal reasoning, intuitional reasoning, knowledge based reasoning, and analogical reasoning.

Kant's Proof of the Causal Principle (칸트의 인과율 증명)

  • Bae, Jeong-ho
    • Journal of Korean Philosophical Society
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    • v.147
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    • pp.215-237
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    • 2018
  • The purpose of this study is to illuminate the precise nature and the central line of Kant's proof of the causal principle stated in the Second Analogy of the 2nd. edition of the Critique of Pure Reason. The study argues for the following thesis: 1. The proof of the Second Analogy concerns only the causal principle called the "every-event-some-cause" principle, and not the causal law(s) called the "same-cause-same-event" principle. 2. The goal of the proof is to establish the possibility of knowledge of an temporal order of successive states of an object. 3. The proof is broadly an single transcendental argument in two steps. The 1st. step is an analytic argument that infers from the given perceptions of an oder of successive states of an objects to the conclusion that the causal principle is the necessary condition for the objectivity of dies perceived order. The 2nd. step is a synthetic argument that infers from the formal nature of time to the conclusion that the causal principle is a necessary condition for die possibility of objective alterations and of empirical knowledge of these alterations. 4. The poof involves not the 'non sequitur' assumed by P. F. Strawson, that is, Kant infers not directly from a feature of our perceptions to a conclusion regarding the causal relations of distinct states of affairs that supposedly correspond to these perceptions.

Review on Study Approaching Methods to Prevent Human Errors (인적오류 예방을 위한 연구접근방법 고찰)

  • Yim, Jeong-Bin;Yang, Hyeong-Sun
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • 2016.05a
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    • pp.191-193
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    • 2016
  • 인적오류 예방은 해양사고 예방에 가장 중요한 이슈로 현재 인식되고 있다. 현재 이러한 인적오류를 예방하기 위한 다양한 과학적인 기법들이 등장하고 있으나, 실제 인적오류를 예방할 수 있는 기법은 아직 개발되어 있지 못한 실정이다. 그 이유는 인적오류의 발생 원인과 특징이 사람을 대상으로 하기 때문에 실로 방대하고 원인식별이 어려우며, 원인과 결과 사이의 인과관계 구축에는 한계가 있기 때문이다. 기존 개발된 다양한 기법들은 이론적으로는 완벽할 수 있으나, 실제 방대한 원인과 결과 사이에 형성된 연계체인을 모두 흡수하기가 곤란하기 때문이다. 현재 IMO의 공식안전성평가(FSA) 기법이 해상분야에 널리 적용되고 있으나 구체적으로 어떠한 기법을 적용하여 인적오류를 적용할 수 있는지에 대해서는 아직도 애매모호한 실정이다. FTA, ETA, FEMA, SWIFT 등 다양한 분석기법의 등장과 AI, Fuzzy, MMC, Kalman 등 기초과학분야의 기본적인 이론과 기술을 적용할 수 있으나 인간의 인적오류 식별과 분석 및 평가와 예측에는 한계가 있는 것이 현재의 실정이다. 한편 최근에는 기존에 많은 문제점을 내포하고 있는 것으로 고려되었던 베이지안 네트워크(Bayesian Network, BN)가 다시 분석과 예측 분야에 등장하고 있는데, BN의 장점을 수용하고 단점을 해결할 수 있는 방법들이 연구되고 있기 때문이다. BN의 장점은 전방추론과 후방추론을 적용하여 사고의 원인과 결과를 분석한 후, 이에 대한 해결 방안을 식별할 수 있기 때문이다. BN의 단점은 이진(binary) 구조의 데이터만을 수용할 수 있기 때문에 상관 변수들이 방대한 경우 계산시간이 방대해지고 이를 모두 수용할 수 있는 방법이 없기 때문이다. 따라서 BN 구조를 어떻게 설계하는냐가 최근의 이수로 등장하고 있다. 본 연구에서는 이러한 제 문제점을 고찰하고 인적오류 모델 개발에 최적인 방법 또는 기술을 모색하는데 있다.

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An Empirical Study on the Asymmetric Correlation and Market Efficiency Between International Currency Futures and Spot Markets with Bivariate GJR-GARCH Model (이변량 GJR-GARCH모형을 이용한 국제통화선물시장과 통화현물시장간의 비대칭적 인과관계 및 시장효율성 비교분석에 관한 연구)

  • Hong, Chung-Hyo
    • The Korean Journal of Financial Management
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    • v.27 no.1
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    • pp.1-30
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    • 2010
  • This paper tested the lead-lag relationship as well as the symmetric and asymmetric volatility spillover effects between international currency futures markets and cash markets. We use five kinds of currency spot and futures markets such as British pound, Australian and Canadian dollar, Brasilian Real and won/dollar spot and futures markets. daily closing prices covering from September 15, 2003 to July 30, 2009. For this purpose we employed dynamic time series models such as the Granger causality based on VAR and time-varying MA(1)-GJR-GARCH(1, 1)-M. The main empirical results are as follows; First, according to Granger causality test, we find that the bilateral lead-lag relationship between the five countries' currency spot and futures market. The price discover effect from currency futures markets to spot market is relatively stronger than that from currency spot to futures markets. Second, based on the time varying GARCH model, we find that there is a bilateral conditional mean spillover effects between the five currency spot and futures markets. Third, we also find that there is a bilateral asymmetric volatility spillover effects between British pound, Canadian dollar, Brasilian Real and won/dollar spot and futures market. However there is a unilateral asymmetric volatility spillover effect from Australian dollar futures to cash market, not vice versa. From these empirical results we infer that most of currency futures markets have a much better price discovery function than currency cash market and are inefficient to the information.

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Modeling of Self-Constructed Clustering and Performance Evaluation (자기-구성 클러스터링의 모델링 및 성능평가)

  • Ryu Jeong woong;Kim Sung Suk;Song Chang kyu;Kim Sung Soo
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.6C
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    • pp.490-496
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    • 2005
  • In this paper, we propose a self-constructed clustering algorithm based on inference information of the fuzzy model. This method makes it possible to automatically detect and optimize the number of cluster and parameters by using input-output data. The propose method improves the performance of clustering by extended supervised learning technique. This technique uses the output information as well as input characteristics. For effect the similarity measure in clustering, we use the TSK fuzzy model to sent the information of output. In the conceptually, we design a learning method that use to feedback the information of output to the clustering since proposed algorithm perform to separate each classes in input data space. We show effectiveness of proposed method using simulation than previous ones

An Improvement of Coherence and Validity between CLD and SFD of System Dynamics (시스템 다이내믹스의 CLD와 SFD의 일관성 및 타당성 개선에 관한 연구)

  • Jung, Jae Un;Kim, Hyun Soo
    • Journal of Digital Convergence
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    • v.12 no.6
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    • pp.69-77
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    • 2014
  • System Dynamics(SD) is one of the complexity theories that has attracted attention as a computer-aided simulation methodology to analyze a dynamic problem and to develop a policy(strategy) in social science. Though there are properly unproven cases in research models which were developed in various fields by SD methodology during the last five decades, they are utilized as models to represent SD sub-theories. For this reason, this study targeted the population dynamics model which was frequently utilized to explain SD fundamentals and it proved errors of reasoning a structure of the existing causal and dominant feedback loop. Consequently, we presented a strategy to strengthen the coherence between CLD(causal loop diagram) and SFD(stocks-and-flows diagram) for improving validity of the existing model. The findings of this study contribute to the advancement of the existing SD and to the reinforcement of validation for policy research models of SD.

Dynamic Linkages : Stock Markets, Construction Industries, and Construction Firms (한국 건설주가의 동태적 국내외 연계성에 관한 실증분석)

  • You, Tae-Woo;Jang, Won-Ki
    • The Korean Journal of Financial Management
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    • v.20 no.1
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    • pp.125-162
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    • 2003
  • This paper investigates the short- and long- run relationship among Korean, U.S. and Japanese construction indices. We conducted the Johansen's cointegration tests on the hypotheses that the construction indices of three countries we related in the long-run as well as in the short-run. The test results show that there exists no long-run relationship among three countrie's construction indices. In addition, the cointegrating relation did not exist for three countrie's stock market indices and five major Korean construction firms. It fumed out that the U.S. indices Granger-causes Japanese and Korean indices. This finding implies that there may exist international diversification benefit through forming a portfolio from these indices.

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Variable Control in Inductive Inference for Engineering Education (공학교육에서 귀납법 추론을 위한 변수 통제)

  • Hwang, Un Hak
    • Journal of Practical Engineering Education
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    • v.6 no.1
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    • pp.1-7
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    • 2014
  • The variable control in the inductive inference for the confirmation and verification when the experimental data are collected is studied by applying the principle of probability inference. The control in engineering experiments is to protect any effect by of intervening variable except primary independent variable on the dependent variable. By the special condition the possibility for developing a phenomenon will be maximized; otherwise, by the extraneous condition the possibility for developing a phenomenon will be minimized. By doing so, the control may provide insurance for the causal relationship between the certain prior event (independent variable) and the post-event (the dependent variable). Some experiments by using both elliptical trainer and tread mill under the variable control are performed in order to find the relations between the energy expenditure, the respiratory exchange ratio (RER), and the heart rate (HR) against the exercise speed.