• 제어로봇시스템학회논문지
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• 제10권5호
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• pp.450-457
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• 2004

In this research, the automatic synthesis of knowledge models is proposed. which are the basis of the methods using qualitative models adapted widely in fault diagnosis and hazard evaluation of chemical processes. To provide an easy and fast way to construct accurate causal model of the target process, the Role-Behavior modeling method is developed to represent the knowledge of modularized process units. In this modeling method, Fault-Behavior model and Structure-Role model present the relationship of the internal behaviors and faults in the process units and the relationship between process units respectively. Through the multiple modeling techniques, the knowledge is separated into what is independent of process and dependent on process to provide the extensibility and portability in model building, and possibility in the automatic synthesis. By taking advantage of the Role-Behavior Model, an algorithm is proposed to synthesize the plant-wide causal model, Fault-Causality Graph (FCG) from specific Fault-Behavior models of the each unit process, which are derived from generic Fault-Behavior models and Structure-Role model. To validate the proposed modeling method and algorithm, a system for building FCG model is developed on G2, an expert system development tool. Case study such as CSTR with recycle using the developed system showed that the proposed method and algorithm were remarkably effective in synthesizing the causal knowledge models for diagnosis of chemical processes.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 1998년도 춘계학술대회 학술발표 논문집
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• pp.127-130
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• 1998

In this paper, we propose a method of cooperative control(T-cell modeling) and selection of group behavior strategy(B-cell modeling) based on immune system in distributed autonomous robotic system(DARS). Immune system is living body's self-protection and self-maintenance system. Thus these features can be applied to decision making of optimal swarm behavior in dynamically changing environment. For the purpose of applying immune system to DARS, a robot is regarded as a B cell, each environmental condition as an antigen, a behavior strategy as an antibody and control parameter as a T-call respectively. The executing process of proposed method is as follows. When the environmental condition changes, a robot selects an appropriate behavior strategy. And its behavior strategy is stimulated and suppressed by other robot using communication. Finally much stimulated strategy is adopted as a swarm behavior strategy. This control scheme is based of clonal selection and idiotopic network hypothesis. And it is used for decision making of optimal swarm strategy. By T-cell modeling, adaptation ability of robot is enhanced in dynamic environments.

• 한국콘텐츠학회논문지
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• 제6권11호
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• pp.126-134
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• 2006

기존의 객체지향 통합 모델링 방법은 전쟁게임 모델을 두 계층으로 구분하여 개발할 수 있는데, 상위계층에서는 객체의 추상화된 행위를 모델링하며 하위계층에서는 모델의 세부적인 행위를 표현하게 된다. 이 방법에서는 시뮬레이션 전문가와 군 관련 전문가가 각각의 계층에서 별도로 작업을 할 수 있는 장점이 있다. 본 논문에서는 통합 모델링을 발전시킨 파라미터 행위 모델링 방법을 이용하여 전쟁 게임 시뮬레이터를 구축할 수 있는 방안을 제시한다. 제안한 방법에서는 군 관련 전문가 또는 사용자가 모델링 방법에 대하여 별도의 지식이 없이도 새로운 알고리즘이나 전략을 시뮬레이터에 추가하거나 수정할 수 있는 장점이 있다. 제안한 방법의 효용성을 보이기 위해 구현된 해군 군함의 전쟁게임 시뮬레이터를 구체적으로 소개한다.

• 한국시뮬레이션학회논문지
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• 제29권2호
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• pp.35-47
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• 2020

인구수 감소와 국방개혁으로 인한 병력 감축, 4차 산업혁명 기술의 초고도화에 따른 기술적 요인으로 국방 M&S의 개체를 자동화 모의하는 것은 이제 군의 현실적인 목표가 되었다. 자동화 모의 기술의 사용자인 군과 기술을 개발해야 하는 공학자들의 공통된 방향설정이 필요한 시점이다. 본 연구는 향후 국방 M&S의 자동화 모의 연구를 위한 가이드라인을 제시한다. 이를 위해, 먼저 자동화 모의를 가능하게 방법론들 규칙-기반방법, 에이전트-기반방법, 학습-기반방법에 대해 논의하고, 이어서 이러한 방법론을 어떠한 방향으로 개발해야 하는지에 대해 논의한다. 연구를 통해 국방 M&S의 자동화 모의 기술 연구가 본격화 되고, 군과 개발자 사이의 간극이 좁혀지기를 기대한다.

• International Journal of Advanced Culture Technology
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• 제11권4호
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• pp.193-201
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• 2023

With the end of global COVID-19 epidemic, hospital staff are likely to be "physically and mentally exhausted" after three years of grueling work in the fight against the epidemic. At this point, it is especially important to enable them to continue to maintain their previous proactive work behavior. This study focuses on 400 employees of various types in three-A grade hospitals in Zhanjiang, Guangdong Province, through the proactive motivation model. Statistical software SPSS 25.0 and AOMS 22.0 were used to analyze the survey data to test whether role modeling in hospital management can have an impact on employees' proactive behaviors, in addition to verifying the mediating role of transactional psychological contract. The results of this study show that: First, role modeling of hospital leaders has a positive effect on employees' proactive behavior and a negative effect on their transactional psychological contract; Second, transactional psychological contract has a negative effect on employees' proactive behavior; Third, the transactional psychological contract mediates the effect between role modeling of leaders and employees' proactive behavior. The results of this research add to the F-path of proactive motivation model, and provide enlightenments and implications for hospital management.

• Journal of Information Technology Applications and Management
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• 제11권1호
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• pp.117-135
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• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.

• 한국항해항만학회지
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• 제31권4호
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• pp.309-315
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• 2007

We've investigated the characteristics on mariner's behavior in the collision situation through a full-mission ship handling simulator and considered that it's necessary to model the standard avoiding behavior of mariners in order to apply the obtained results more widely and effectively. Thus we described the contents of standard avoiding behavior taken by mariners in the collision situation and established the concept of the standard model based on human factors for collision avoidance in a previous study. As a following study, this paper is to propose the method of modeling on mariners' standard behavior for collision avoidance by analyzing the contents of mariner's information processing and the related factors using regression analysis. As a result, we confirmed the influence of relating factors to avoiding behavior in mariner's deciding decisions and proposed the modeling method of mariners' standard behavior for collision avoidance with a example of recognition model.

• Geomechanics and Engineering
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• 제1권1호
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• pp.53-74
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• 2009

In recent years, several computer-aided pattern recognition and data mining techniques have been developed for modeling of soil behavior. The main idea behind a pattern recognition system is that it learns adaptively from experience and is able to provide predictions for new cases. Artificial neural networks are the most widely used pattern recognition methods that have been utilized to model soil behavior. Recently, the authors have pioneered the application of genetic programming (GP) and evolutionary polynomial regression (EPR) techniques for modeling of soils and a number of other geotechnical applications. The paper reviews applications of pattern recognition and data mining systems in geotechnical engineering with particular reference to constitutive modeling of soils. It covers applications of artificial neural network, genetic programming and evolutionary programming approaches for soil modeling. It is suggested that these systems could be developed as efficient tools for modeling of soils and analysis of geotechnical engineering problems, especially for cases where the behavior is too complex and conventional models are unable to effectively describe various aspects of the behavior. It is also recognized that these techniques are complementary to conventional soil models rather than a substitute to them.

• 한국시뮬레이션학회논문지
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• 제12권2호
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• pp.63-73
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• 2003

The major objective of this paper is to propose the method of attacker and host modeling for cyber-attack simulation. In the security modeling and simulation for information assurance, it is essential the modeling of attacker that is able to generate various cyber-attack scenarios as well as the modeling of host, which is able to represent behavior on attack concretely The security modeling and simulation, which was announced by Cohen, Nong Ye and etc., is too simple to concretely analyze attack behavior on the host. And, the attacker modeling, which was announced by CERT, Laura and etc., is impossible to represent complex attack excepting fixed forms. To deal with this problem, we have accomplished attacker modeling by adopted the rule-based SES which integrates the existing SES with rule-based expert system for synthesis and performed host modeling by using the DEVS formalism. Our approach is to show the difference from others in that (ⅰ) it is able to represent complex and repetitive attack, (ⅱ) it automatically generates the cyber-attack scenario suitable on the target system, (ⅲ) it is able to analyze host's behavior of cyber attack concretely. Simulation tests performed on the sample network verify the soundness of proposed method.

• 수산해양교육연구
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• 제25권6호
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• pp.1306-1314
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• 2013

The purpose of this study is to find the structural relationships among major satisfaction, career search efficacy, and career exploration behavior with marine science high school students. For investigating this topic, 524 students were surveyed from the marine science high schools. In order to find out the structural relationships among major satisfaction, career search efficacy, and career exploration behavior, structural equation modeling was used. Followings were the results of the research: (a) Major satisfaction effected significantly on the career search efficacy. (b) Career search efficacy effected significantly on the career exploration behavior. (C) There was not significant direct cause and effects from major satisfaction to career exploration behavior, but indirect effect was significant. Some recommendations were suggested for increasing career exploration behavior of marine science high school students.