• Proceedings of the Korea Information Processing Society Conference
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• 2009.11a
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• pp.291-292
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• 2009

모바일 장치에서 얻을 수 있는 정보는 의미 있는 다양한 개인 정보를 가지고 있다. 본 논문에서는 모바일 장치에서 얻을 수 있는 정보를 분석하여 특이성을 추론하는 방법을 제안한다. 특이성 추론 방법으로 인과관계의 지식을 모델링하고 표현하며 추론하는 주요 형식화 방법의 하나인 FCM(Fuzzy Cognitive Map)을 사용하였다. 제안된 방법은 모바일 장치에서 얻은 정보와 추론된 특이성을 개념노드로 이용하여 새로운 특이성을 추론하며, 개념노드간의 인과관계를 효율적으로 표현한다.

• Korean Journal of Social Welfare
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• v.67 no.4
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• pp.79-101
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• 2015

What is the role of welfare discourse? Michel Foucault suggests the power and knowledge relation that power in a particular society and period controls the society and members by creating knowledge affecting the formation of cognitive and normative systems. Having the formation of exclusions(constraint of cognition), and materiality and reality(normative system) as an analytical framework, this article attempts the exploration of welfare discourse analyses with public statements relating to welfare subjects of the four former Korean presidents. As a result, It is found that dominant epistemic system is formed by balancing welfare and growth and regarding jobs as the best welfare(the linkage of welfare-growth-employment), emphasizing individual economic responsibility and self-reliance, pursuing welfare selectivism, and excluding comprehensive welfare provisions. At the same time, it is observed that power is not always formulating systematic knowledge and that there is a gap between cognition and norm. While the Foucauldian discourse analysis provides a causal inference about low social welfare expenditure, excessive focus on the role of power as knowledge generator and infuser causes a question of how to accommodate contemporary changes into knowledge system.

• Journal of Advanced Marine Engineering and Technology
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• v.20 no.1
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• pp.13-23
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• 1996

Weld defects degrade the strength and safety of astructure and are resulted from the various cases. The complexity of causal relation of weld defects requires an expert for the analysis of weld defects and the measures counter to them. An expert system has the intelligent functions such as the representation of knowledge and the inference. On this research, weld defect are systematically analysed and their causal model is developed. This information is saved to the knowledge base. The suitable inference algorithm for the diagnosis of weld defects is developed and realized with C++ programming.

• Proceedings of the Korea Society for Simulation Conference
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• 1993.10a
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• pp.11-11
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• 1993

도메인에 대한 전문 지식 획득(Acquisition of expert knowlegde)은 지식 제공자인 인간 전문가에 의존한다. 도메인이 복잡해 질수록 인간 전문가로부터 관련된 모든 지식을 획득하기란 어렵다. 이런 지식 획득의 어려움을 부분 흑은 완전 자동화된 지식 획득 시스템을 통해 해결하려는 많은 연구가 있어 왔다. 그러나 지식 획득을 위한 여러 시도들은 지식 제공자의 촛점이 도메인이 아닌 표현 구조나 도구- representation environment -에 보다 치우치게 하여, 잘못된 지식을 획득하게 하거나 주요지식이 생략되는 경우를 보이기도 한다. 또한 정적인 관계(relationship)에 의해서만 지식(Static Knowledge)을 생성하므로 시간흐름에 따라변화하는 지식을 나타내기는 어렵다. 본 연구에서는 시뮬레이션을 통한 자동 지식 획득(Simulation Based automatic Knowledge Acquisition) 방법을 제시한다. 이 방법은 1) 도메인에 관한 초기 인과관계 정보를 입력 받고, 2) 입력된 정보를 일정한 프레임에 따라 구조화 시켜 경험 베이스를 구성하고 이를 탐색하여 도메인과 관련된 확장된 정보를 얻은 후, 3) 위의1),2)를 통해 얻어진 정보를 분석하여 주어지는 입력에 대해 다양한 출력을 낼 수 있는 시뮬레이션 모델을 생성한다. 이 모델은 다음 단계의 지식 생성을 위한 수단(resource)이 되며, 구간값과 같은 불확실한 정보를 포함할 수 있는 구조이다. 마지막으로 4) 생성된 모델을 시뮬레이션하여 결과로 생성된 지식을 획득한다. 위의 과정에서, 지식획득을 위한 수단인 시뮬레이션 모델이 지식 제공자의 개입 없이 자동 생성됨에 따라, 지식 제공자는 도메인 관련 지식 그 자체에 집중할 수 있으며, 생성된 모델을 시뮬레이션한 결과에 의해 지식을 생성함으로써 동적인 지식이 얻어질 수 있다. DEVS 모델에 대한 타당성 검사 방법을 고찰하고 그 문제점에 대하여 자세히 설명한다. DEVS 모델의 타당성 검사에 이용하는 SPN 모델에 대한 개념과 DEVS 모델과 행위적으로 동등한 SNP 모델로 변환을 위한 관점을 제조명하다. 동일한 관점에서 두 모델의 상태표현이 같도록 DEVS 모델이 SPN 모델로 표현됨을 보이는 변환이론을 제시하고 변환이론을 바탕으로 모델 변환과정을 제시한다. 모델 변환이론과 변환고정을 기본으로 타당성 검사를 위한 새로운 동질함수(homogeneous function)를 정의하고 이와 함께 SPN 모델의 특성을 이용하여 DEVS 모델에 대한 타당성 검사 방법을 새롭게 제안한다. 에탄올투여로 증가된 유리기 해독계 효소인 GSH-Px활성을 큰 폭으로 감소시키고 에탄올투여로 감소된 비효소적 항산화작용을 나타내는 GSH함량을 다량 증가시킴으로서 지질과산화물에 대한 방어력이 증가되어 나타난 결과로 여겨지며, 또한 혈청중의 ALT, ALP 및 LDH활성을 유의성있게 감소시키므로서 감잎 phenolic compounds가 에탄올에 의한 간세포 손상에 대한 해독 및 보호작용이 있는 것으로 사료된다.반적으로 홍삼 제조시 내공의 발생은 제조공정에서 나타나는 경우가 많으며, 내백의 경우는 홍삼으로 가공되면서 발생하는 경우가 있고, 인삼이 성장될 때 부분적인 영양상태의 불충분이나 기후 등에 따른 영향을 받을 수 있기 때문에 앞으로 이에 대한 많은 연구가 이루어져야할 것으로 판단된다.태에도 불구하고 [-wh]의미의 겹의문사는 병렬적 관계의 합성어가 아니라 내부구조를 지니지 않은 단순한 단어(minimal $X^{0}$ elements)로 가정한다. 즉, [+wh] 의미의 겹의문사는 동일한 구성요 소를 지닌 병렬적 합성어([$[W1]_{XO-}$ $[W1]_{XO}$ ]$

• Knowledge Management Research
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• v.13 no.4
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• pp.55-69
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• 2012

This paper developed measurement indices for intellectual capital of public R&D organizations and investigated causal relationships among the components. We developed 10 measurement factors and 37 indicators and confirmed the reliability of these measurements. We offered an alternative to the existing model for searching causal relationships. From our survey research, using the structural equation model, we found a new relationship. In contrast to the existing model, we found a cycling relationship among three variables: human capital causes structural capital, structural capital causes relational capital, and relational capital causes human capital.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.135-139
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• 2008

MMORPG로 대표되는 우리나라 온라인게임의 게임아이템 유형을 보면 대부분이 능력치와 관련된 것들이 많다. 이것은 게임아이템의 일부 기능만을 활용한다는 점에서 보다 적극적으로 게임아이템을 구성하고 그것에 유기적인 역할을 부여할 필요성을 갖게 한다. 이러한 필요성을 충족시키기 위하여 게임아이템을 인지심리학적 관점으로 연구는 것은 매우 유효하다. "게임아이템의 인지프로세스와 지식표상 모델"이라는 것은 인지심리학의 정보처리 과정을 게임아이템 사용자에게 적용하여 구조화한 것이다. 이러한 프로세스와 지식표상 모델은 게임아이템의 명료화와 인과적 플레이를 유도하기 위한 것으로 위의 필요성을 충족시킬 수 있다.

• The Journal of the Korea Contents Association
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• v.13 no.1
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• pp.376-390
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• 2013

The purpose of this study are as follows : First, This study conceptually and artificially defines concepts of OCB, absorptive capacity, IT group-efficacy, and TTF. Second, this study confirms the relationship among the KMS performance, the result of using KMS, and the result drawn from OCB, absorptive capacity, group-efficacy, and TTF by the preceding researches, suggesting the research model and verifying through empirical study. Lastly, this study suggests the practical and strategic advices to the groups wanting to get on the edge through KMS. The results of data analysis showed that TTF was found to have a positive influence on KMS performance. IT group-efficacy and absorptive capacity were also found to have a positive effect on TTF. And IT group-efficacy was found to have a positive influence on OCB. The findings are discussed and further research topics are suggested as well.

• Journal of the Korean Home Economics Association
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• v.44 no.3 s.217
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• pp.143-151
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• 2006

The purpose of this study was to investigate the levels of knowledge and behavior towards food hygiene among child consumers, examine the factors influencing them, and analyze the causal relationship between them. The data were collected from 521 elementary school students in Youngnam area by a self-administered questionnaire. Frequencies, Pearson's correlation analysis, multiple regression analyses, and path analysis were conducted by SPSS Windows. The results from this study were as follows. First, the level of knowledge towards food hygiene was not particularly high, and the level of behavior was somewhat more than the average. Second, the factors influencing the level of knowledge towards food hygiene were school record (upper and middle), and concerns about food hygiene. In addition, concerns about food hygiene, the frequency of food hygiene education in the family, and the level of knowledge towards food hygiene had an effect on the level of behavior towards food hygiene. Third, in the analysis of the causal relationship between the knowledge and behavior towards food hygiene, school record indirectly influenced the behavior towards food hygiene, and the frequency of food hygiene education in the family directly affected the behavior towards food hygiene. On the other hand, concerns about food hygiene had direct and indirect influence on the behavior towards food hygiene. In addition, the knowledge towards food hygiene showed a direct effect on the behavior towards food hygiene. These results imply that knowledge towards food hygiene is a very important factor to improve the children's behavior towards food hygiene and that parents' concerns and guidance for children are needed.

• The Journal of the Korea Contents Association
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• v.17 no.12
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• pp.158-168
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• 2017

As the big data technologies advance, there is an increasing interest in systematic methodologies for data-based policy determination especially in the public health area. This study proposes a method to develop an issue detection model through the collaboration with domain experts in order to intelligently detect major socio-national issues on infectious diseases based on data. At first, the factors influencing the 'domestic inflow of foreign infectious diseases' are determined and variables representing the factors are set. Thereafter, by using system dynamics methods, the causal analysis is made to find causal map indicating main influential factors. In this process, an empirical modeling is conducted through collaboration between data analysts and experts in the infectious disease domain. The proposed issue detection approach based on domain knowledges will make it possible to make a decision on policies more efficiently if the detection system is capable of continuos monitoring of the related issues.

• Korean Journal of Cognitive Science
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• v.10 no.1
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• pp.57-66
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• 1999

We believe that science experiments in a laboratory are essential for science education. Scientific experiments begin with situations set by selecting and locating tools and reagents. and by proper experimental behavior, and thereafter situations are changed by natural laws and intermediate experimental behavior. While scientists and students do experiments, they build a cognitive model internally, do causal reasoning on the model to derive system behavior, and then learn scientific truth. We suggest not only a representation method for a 2-dimentional model and for ontological entities necessary in causal reasoning, but also an inferencing method to derive behavior. Chemistry experiments are chosen for the implementation. For the ontological entities, we consider experimental tools, reagents and their heirarchical structures, physics and chemistry natural laws, and functional abstraction knowledge. In order to show the usefulness of our methods, we have developed a program, called ACUArtificial Chemistry Laboratory), which provides an experiment environment where students can do non-predetermined experiments, and shows experiment려 system behavior similar to what happens in the same situation in a real world and descriptions about why it happens.