• 가정과삶의질연구
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• 제28권6호
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• pp.113-123
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• 2010

The purpose of this study is to understand police officers' perceptions and influential factors on their recognition of domestic violence. The participants of the present study were 226 police officers around Iksan province, and the data were collected by the self-administered questionnaire method. The major results of this research were as follows. First, 55.3% of the respondents had received training on domestic violence. Second, 64.6% of police officers had experienced cases of domestic violence, and 65.4% of them had chosen passive action in domestic violence situations. Third, there was a significant positive correlation between gender equality consciousness and knowledge of the domestic violence prevention act, and the police officer's recognition of domestic violence. Fourth, there was a significant negative correlation between possible violence and the intervening attitudes of the police officers, and the police officers' recognition of domestic violence. Finally, multiple regression analysis was performed to find out the general characteristics of the participants and associated variables. It was found that the domestic violence experience of police officers was the most powerful predictor of their recognition of domestic violence. Gender equality consciousness, knowledge of the domestic violence prevention act, and the intervening attitudes of police officers were the next powerful predictors of police officers' recognition of domestic violence.

• 한국정밀공학회:학술대회논문집
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• 한국정밀공학회 2005년도 춘계학술대회 논문집
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• pp.331-336
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• 2005

A lot of manufacturing knowledge and method have applied to increase manufacturing efficiency in industry field. DES(Discrete Event Simulation) is one of solution to deal with manufacturing problems in factory. Beginning of research, old maintenance system of KNR ( Korea National Railroad) and its technical problems are basically investigated. KNR has maintained railway vehicle with their own solution based on experience. Very advanced railway vehicles such as KTX (Korea Train Express) and TTX(Tilting Train Express) will be difficult to maintain with their old maintenance method. In order to apply knowledge of DES, maintenance field of railway must be considered. Imaginary maintenance machine are selected to variable of DES. Maintenance capability of each machine will be evaluated base on imaginary data from imaginary machine. The machine could be very expensive as well as difficult to replace. Target of research is minimization of number of machine in railway workshop. So basic knowledge of discrete event simulation is introduced. Then five essential stages of discrete event simulation are provided. Each maintenance case defined as event. Each event is discrete and simulated base on different case such as one maintenance line with one machine and one maintenance line with two machines in railway workshop. simple maintenance method, discrete event simulation, will be come out very powerful in complicate maintenance system and will be helpful to reduce maintenance cost as well as maintenance labor.

• 한국학교ㆍ지역보건교육학회지
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• 제16권2호
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• pp.1-15
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• 2015

Objectives: This study purposed to identify the factors influencing cardiopulmonary resuscitation(CPR) skills in nursing students. Methods: The research design was descriptive study. Data were collected through structured questionnaires. The participants of this study were 202 nursing students in B & U metropolitan city, and C city. Data were collected from November 15 to November 30, 2013. The data were analyzed using t-test, ANOVA, Scheffe's test, Pearson's correlation coefficients, and Multiple stepwise regression with SPSS WIN v 20.0. Results: CPR knowledge(r=0.51, p<0.001), critical thinking disposition(r=0.43, p<0.001), CPR attitude(r=0.56, p<0.001). self efficacy(r=0.74, p<0.001), and CPR skills were significantly correlated with each other. Predictors of CPR skills were self efficacy, CPR knowledge, critical thinking disposition, grade, and CPR attitude. These variables explained 60% of CPR skills. Multiple regression analysis showed that most powerful factors influencing CPR skills among nursing students was self efficacy. Conclusions: Based on this study, it is required to develop nursing education program to improve self efficacy of nursing students for increasing CPR skills.

• 한국항해학회지
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• 제19권4호
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• pp.103-121
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• 1995

As Daniel Bell says, that modern society is an information society. In contrast to earlier days, modern society has placed a high value on information and knowledge. Therefore, modern civilization depends largely on information and knowledged, which is the most valuable sources of all intelligence activities. By coordinating a large number of human action, the information creates a powerful social tool. It combines its personnel with its resources and new materials at various level. At the same time, It continually evaluates how well it is performing and tries to adjust itself accordingly in order to achieve social goals. As we shall see, all this allows information to sew the various needs of society. In connection with above mentioned problem consciousness, the study is designed to sew the following purposes. As its title indicates, and perhaps most significant. This study is to review and reinterpret the existing literature on local telecommunication system, networks, and policy direction in order to arrive at a somewhat more general approach to understanding them. In local telecommunications service, the service exploitation and promotion and database development must be accomplished by establishing local telecommunications. If we develop local telecommunications toward the progressing direction, we would dissolve the regional information disparity and could also make the local policy suited for high-intelligence society. It is true of any science that knowledge is never complete. It is also true of a science that knowledge should grow, through systematic reexamination of the body of findings. There are certainly true of this study on the developmental direction for local telecommunication system.

• 한국CDE학회논문집
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• 제2권1호
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• pp.53-59
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• 1997

Current CAD systems used in the AEC community have some critical problems. One of them is that they hardly support design collaboration. Thus designers and engineers are hard to transfer design knowledge from one discipline to another. What we need is a common building database which creates and manages building plans/models and relevant design knowledge consistently and effectively. This paper presents a powerful CAD editor, called UNIFORM, which is being developed. Currently UNIFORM includes three main modules: a plan generator, a 3-D model generator, and component databases. A plan generator, called UNIFORM PLANNER, creates a plan which contains semantically-rich information of building. Each component in the plan can be presented in various ways and connected to component databases that contain knowledge of building components such as windows, doors, walls, etc. Based on the plan UNIFORM MODELER, another module of the program, generates a three dimensional building model which could be a multiple-story building. One of the main ideas behind the system is that it generates and maintains a common building form that can be easily delivered to other members of the project team. Thus it is expected to increase system integration, team interactions, and productivity.

• 지식경영연구
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• 제19권1호
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• pp.1-18
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• 2018

As the online space becomes more active, interest in protecting personal information is increasing. From this point of view, it is important to prevent personal information from being leaked in advance. As a precaution, it is suggested that users change their password periodically to protect their personal information effectively. Currently, various online services provide a request message that prompts users to periodically change their password. These messages are expressed as positive-centric or negative-centric. This message can be seen as a powerful way to trigger users' behavior. In this context, this study suggests that message framing type can be applied to the password change request message, and to investigate the difference between the positive-centric message and the negative-centric message. In addition, this study concluded that the effect of message type may be different depending on the degree of psychological ownership of the individual on the online service. As a result, users with high psychological ownership in online service were more effective when positive-centric message was presented than negative-centric message. On the other hand, users with low psychological ownership in online service were more effective when negative-centric message was presented than positive-centric message.

• 한국콘텐츠학회논문지
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• 제19권8호
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• pp.58-68
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• 2019

최근 제품리뷰 형태의 SNS 광고가 늘어나고 있다. 이들 광고는 효과와 영향력에 비해 관리와 규제를 덜 받고 있어 소비자 불만 역시 증가하고 있다. 본 연구는 정보성, 오락성, 신뢰성, 친근성 등 제품리뷰 SNS 광고 속성이 소비자의 구매의도 및 브랜드 태도에 끼치는 영향을 알아보고자 하였다. 이 때 높아진 소비자 불만들로 인해 개개인이 구축한 설득지식은 광고효과에 영향을 끼칠 수 있을 것으로 예상되어 이를 조절효과로 살펴보았다. 240명의 제품리뷰 SNS 광고 이용자를 대상으로 설문한 결과, 광고 속성이 구매의도에 끼치는 영향 관계에서 설득지식의 조절효과는 오락성, 정보성이 채택되었고 광고 속성이 브랜드 태도에 끼치는 영향 관계에서는 오락성, 정보성, 친근성이 채택되었다.

• 한국근적외분광분석학회:학술대회논문집
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• 한국근적외분광분석학회 2001년도 NIR-2001
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• pp.1071-1071
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• 2001

Near-infrared spectroscopy (NIRS) is potentially a powerful and revolutionary technology for environmental analysis. It is supported by a large body of scientific and experiential knowledge. The instrumentation is well-developed, with easy-to-use, highly dependable instruments, but at the same time it is still developing, particularly with the production of more portable and rapid instruments, and more powerful software. NIRS is used globally in numerous industries for commodity analysis. Yet NIRS is largely unknown in the field of environmental chemistry and monitoring, and is not even routinely used in soil analysis, where the research literature on NIRS extends over four decades. Part of the explanation for the poor visibility of NIRS is the fact that NIRS is not routinely taught in Chemistry programs in universities, where most environmental chemists and environmental technicians are trained. This presentation examines the unique capabilities of NIRS, such as rapid, real-time analysis; analysis of whole samples; simultaneous analysis of multiple constituents; cost-effectiveness, and portability, as they match needs for analysis in several environmental areas. Examples of NIRS usage and published and unpublished results will be described for such areas as soil and sediment analysis; water quality monitoring; and nutrient loading in application of manures and sewage sludge (biosolids) to land. Present barriers to the use of NIRS in environmental analysis will be discussed. It is argued that emerging environmental problems and increasing attention to some traditional problems will enhance the application of NIRS in the future.

• 지능정보연구
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• 제17권4호
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• pp.59-74
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• 2011

웹 2.0 환경에서는 사용자 참여를 통한 지식 생산이 증가하고 있으며, 이러한 지식들을 효과적으로 분류하고 공유하기 위한 방법으로 태그 기반의 단일 폭소노미가 활용되고 있다. 그러나 단일 폭소노미를 구성하는 태그들은 단일 태그로 구성되어 있어 그 의미가 불명확하다. 이를 위해 태그간의 관계성이 명시된 구조화된 폭소노미를 구축하는 연구들이 진행되었다. 그러나 이러한 연구들에서도 태그의 의미를 정의하기 위해 미리 정의된 용어집을 사용하기 때문에 용어집에 없는 새로운 태그는 정의할 수 없고, 수작업으로 태그의 의미를 정의할 때 시간이 소요되는 문제점이 발생하였다. 본 연구에서는 사용자가 태그를 입력할 때 입력된 태그가 속할 수 있는 카테고리를 미리 정의된 용어집 없이 자유롭게 정의할 수 있는 카테고리형 태깅 방식을 제안하고자 한다. 또한 사용자들로부터 수집된 카테고리형 태그들을 이용하여 다수의 사용자가 생각하는 태그의 관계를 구조화된 폭소노미에 반영하는 기술을 언급하고자 한다. 끝으로 본 연구에서 제시한 방법들이 조직의 지식 분류와 검색에 활용될 수 있음을 증명하기 위해, 카테고리형 태그 기반의 지식조직체계를 시스템으로 구현하였다.

• 한국지능정보시스템학회:학술대회논문집
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• 한국지능정보시스템학회 2001년도 The Pacific Aisan Confrence On Intelligent Systems 2001
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• pp.128-132
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• 2001

In this paper, we evaluate and contrast four neural network rule extraction approaches for credit scoring. Experiments are carried our on three real life credit scoring data sets. Both the continuous and the discretised versions of all data sets are analysed The rule extraction algorithms, Neurolonear, Neurorule. Trepan and Nefclass, have different characteristics, with respect to their perception of the neural network and their way of representing the generated rules or knowledge. It is shown that Neurolinear, Neurorule and Trepan are able to extract very concise rule sets or trees with a high predictive accuracy when compared to classical decision tree(rule) induction algorithms like C4.5(rules). Especially Neurorule extracted easy to understand and powerful propositional if -then rules for all discretised data sets. Hence, the Neurorule algorithm may offer a viable alternative for rule generation and knowledge discovery in the domain of credit scoring.