• 한국지역사회생활과학회지
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• 제20권2호
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• pp.169-180
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• 2009

This study was performed to examine the emotion expectations and explanations of four participants(an actor, a recipient, a child observer, and an adult observer) in moral, social-conventional, and personal rule transgression situations. Six vignettes describing the rule transgressions were presented to 200 children who were either five or seven years old. The children were asked to predict and explain each participant's emotions. The children's emotion expectations were different depending on the domain of the rule transgressions and on the type of the participant. The actors were predicted to feel happy during all transgressions, while the recipients and two observers(a child and an adult) were predicted to feel unhappy. The seven-year-old children attributed more happiness to the actors, and more negative affect to the recipients compared to the five-year-olds. This result was inconsistent with the previous findings that older children attributed more happiness to actors. This finding was discussed in relation to the 'happy victimizer'. Some categories of emotion explanations were differentiated according to the domain of rule transgressions. The personal rule transgressions, newly defined and examined in this study, were judged to be less serious than the moral rule transgressions in terms of the intensity of the negative affect.

• 정보처리학회논문지D
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• 제10D권1호
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• pp.33-44
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• 2003

XML은 웹 데이터의 표현과 정보교환을 위한 표준이다. XML의 급격한 사용증가로 인하여 XML 저장 관리 시스템 및 XML 문서의 변화에 자동으로 대응할 수 있는 규칙기반의 기술개발에 대한 연구가 활발히 진행되고 있다. 능동 규칙은 사건, 조건, 조치로 구성되며 데이터베이스의 상태 변화에 자동으로 대응할 수 있는 특성이 있으므로 이러한 요구를 충족시킨다. 따라서 이 논문에서는 XML 문서를 자동으로 관리하기 위한 XML 기반의 능동 규칙 언어를 제안하고 이 규칙언어로 정의되는 능동 규칙에 대한 종료 분석 방법을 제시한다. 아울러 XML 문서의 능동적 관리를 위한 규칙의 적용 사례를 제시하고 분석 방법의 효율성에 대해 검증한다.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2000년도 추계학술발표논문집 (상)
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• pp.11-14
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• 2000

대부분 기존의 Multimedia 시스템은 응용프로그램이나 사용자에 의해 발생되는 Operation 을 수동적인 형태로 처리를 한다. 개발자는 시스템의 목적이나 전략에 따라 시스템을 구성하는 각각의 Module에 대해 작업을 해야 하지만 목적이나 전략이 변경되면 해당되는 각각의 Module을 찾아서 수정을 해야만 한다. 이러한 일은 상당히 번거롭고 Error를 발생시킬 수 있는 가능성을 내포하고 있다. 또한 Multimedia 시스템은 적절한 정보를 관리하고 다양한 응용프로그램을 지원하기 위해서 많은 기능을 가져야 한다. 이 논문은 Event-Condition-Action(ECA) rule의 Active특성을 Multimedia 시스템에 적용하는 것을 제안하고 있다. 이러한 접근 방법을 통해 코드를 효과적으로 관리할 수 있다. 또한, Operation으로부터 rule을 정의하고 관리하는 것을 분리함으로써 Multimedia 시스템에 대해 상위 계층의 새로운 개념을 제시한다. 이렇게 Multimedia 시스템 상에 Active Rule시스템을 계층화시킴으로써 진보된 Multimedia 서비스를 제공할 수 있다. 시스템의 모든 기능은 Event에 의해 발생되고 Rule의 Condition이 만족할 때 해당하는 Rule의 Action이 실행된다. 여기서 제안한 Interactive Group Teaching System (IGTS) 시스템은 Active Rule 시스템인 Active Rule Management System(ARMS) 상에서 구현되었고, Active 속성을 가진 IGTS 을 설계하는 것을 목적으로 하고 있다. 본 시스템은 ECA Rule 개념이 적용 가능함을 보여준다.

• 대한조선학회 특별논문집
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• 대한조선학회 2007년도 특별논문집
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• pp.14-21
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• 2007

A passenger ship is consist of five(5) constituents; passenger, sea, crew, port and ship itself and the rule & regulation which is applicable to passenger ship are differently required as their objects of constituents. the basic concept of rule & regulation can be defined all activities to keep safety of ship and her constituents. Especially, the rule & regulation for passenger ship design and construction shall be considered not only safety of ship itself but also safety of lives, so its are required more severe than commercial vessel. Recently, the IMO have finished the rule making work on the 'passenger ship safety' since it has been discussed last 2000 and next MSC meeting will be adopted the results. In this paper, the application method of rule & regulation are treated and the new rule which were made by IMO are introduced. The rule & regulation for passenger ship is one of the most important things. therefore, it is required to careful consideration to apply on the rule application.

• 한국세라믹학회지
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• 제40권4호
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• pp.371-374
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• 2003

Various types of equation for mixing rule on permittivity of mixture have been proposed, but none of these is not perfect because of the inconsistency between the actual geometrical configuration and the basic model for calculation. Serial model and parallel model are lower and upper extremes of mixing manner, the apparent permittivity of any other type of mixture stay between these two extreme states. For the random mixture of the stumpy fine particles, customarily the logarithmic mixing rule has been applied. But, the logarithmic mixing rule does not give the proper value of permittivity in low or high mixing rate of constituent. The author proposed the new mixing rule that gives better consistency with measured value in whole mixing range compared to the logarithmic rule. In this paper, a desirable refinement on the equation proposed in the previous paper is made to adapt to thr configuration image of actual compound and then the equation has been expanded to the complex permittivity to apply the mixing rule on the dissipative materials cases.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2005년도 추계학술대회 학술발표 논문집 제15권 제2호
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• pp.271-275
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• 2005

In this research, we propose a Unified Fuzzy rule-based knowledge Inference Systems UFIS) to help the expert in cosmetic brand detection. Users' preferred cosmetic product detection is very important in the level of CRM. To this Purpose, many corporations trying to develop an efficient data mining tool. In this study, we develop a prototype fuzzy rule detection and inference system. The framework used in this development is mainly based on two different mechanisms such as fuzzy rule extraction and RDB (Relational DB)-based fuzzy rule inference. First, fuzzy clustering and fuzzy rule extraction deal with the presence of the knowledge in data base and its value is presented with a value between $0\∼1$. Second, RDB and SQL(Structured Query Language)-based fuzzy rule inference mechanism provide more flexibility in knowledge management than conventional non-fuzzy value-based KMS(Knowledge Management Systems)

• The Journal of Asian Finance, Economics and Business
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• 제6권4호
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• pp.297-307
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• 2019

Despite the fact that the implementation of 5% rule is widely recognized to enhance the transparency of capital market and fairness of corporate governance market, a few evidences present information effect of 5% rule. Using 7,088 non-financial firm-year observations listed on the Korea Stock Exchange from 2006 to 2012, we analyze the relation between trading volume and 5% rule disclosure. The results show that the daily and abnormal trading volume is increased when 5% rule disclosure is released. Moreover, the trading volume is significantly increased during cooling period. Specifically, trading volume is significantly greater when one day before cooling period or the expiration day of cooling period. We also find the information effect of firms with stable ownership structure before 5% rule disclosure is relatively smaller than the firms with unstable ownership structure with unstable ownership structure. These results imply that capital market participants use the information from 5% rule disclosure and reflect in their real economic decision.

• International Journal of Fuzzy Logic and Intelligent Systems
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• 제1권1호
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• pp.75-80
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• 2001

Rule inconsistency is an important issue that is needed to be addressed while designing efficient and optimal fuzzy rule bases. Automatic generation of fuzzy rules from data sets, using machine learning techniques, can generate a significant number of redundant and inconsistent rules. In this study we have shown that it is possible to provide a systematic approach to understand the fuzzy rule inconsistency problem by using the proposed measure called the Commonality measure. Apart from introducing this measure, this paper describes an algorithm to optimize a fuzzy rule base using it. The optimization procedure performs elimination of redundant and/or inconsistent fuzzy rules from a rule base.

• 한국경영과학회:학술대회논문집
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• 한국경영과학회/대한산업공학회 2003년도 춘계공동학술대회
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• pp.884-888
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• 2003

In this paper, we introduce the hybrid data mining mechanism based in association rule and fuzzy neural networks (FNN). Most of data mining mechanisms are depended in the association rule extraction algorithm. However, the basic association rule-based data mining has not the learning ability. In addition, sequential patterns of association rules could not represent the complicate fuzzy logic. To resolve these problems, we suggest the hybrid mechanism using association rule-based data mining, and fuzzy neural networks. Our hybrid data mining mechanism was consisted of four phases. First, we used general association rule mining mechanism to develop the initial rule-base. Then, in the second phase, we used the fuzzy neural networks to learn the past historical patterns embedded in the database. Third, fuzzy rule extraction algorithm was used to extract the implicit knowledge from the FNN. Fourth, we combine the association knowledge base and fuzzy rules. Our proposed hybrid data mining mechanism can reflect both association rule-based logical inference and complicate fuzzy logic.

• Molecules and Cells
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• 제39권3호
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• pp.169-178
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• 2016

Although $N{\alpha}$-terminal acetylation (Nt-acetylation) is a pervasive protein modification in eukaryotes, its general functions in a majority of proteins are poorly understood. In 2010, it was discovered that Nt-acetylation creates a specific protein degradation signal that is targeted by a new class of the N-end rule proteolytic system, called the Ac/N-end rule pathway. Here, we review recent advances in our understanding of the mechanism and biological functions of the Ac/N-end rule pathway, and its crosstalk with the Arg/N-end rule pathway (the classical N-end rule pathway).