• 간호행정학회지
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• 제18권2호
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• pp.202-212
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• 2012

Purpose: As Evidence-Based Practice (EBP) has increasingly been proven as a means of cost-effective and higher-quality healthcare, its successful implementing are challenging. This study done to identify EBP beliefs, knowledge and performance among nurses experienced as a preceptor. Method: A descriptive cross-sectional survey was conducted with a convenience sample of 249 preceptor nurses working in 9 general hospitals in Korea. Reliable and valid questionnaires (EBP beliefs scale, Evidence Based Practice Questionnaire, Research-related activities) were used and the data were analyzed using SPSS win 17.0. Result: Perceived beliefs on EBP were relatively positive (mean score 3.57 out of 5), and the level of knowledge was moderate (4.21 out of 7). However, performance of EBP was low (3.82 out of 7). Regularity in reading research journals and searching evidences using core web-database were rarely conducted. Statistically significant correlations were found between beliefs, knowledge and performance of EBP (all p<.05). Conclusions: This result indicates that education and training programs to facilitate EBP performance are needed among preceptor nurses.

• 한국농공학회논문집
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• 제53권3호
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• pp.59-64
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• 2011

The objective of the study is to develop life cycle inventory (LCI) database of dam, a major facility for irrigation water supply. The types of database developed are three out of nine dams according to the size of the wate r storage capacity: two kinds larger than 500,000 $m^3$ depending on gate for discharging (Type 1) and the other dam smaller than 500,000 $m^3$ (Type 2). According to the LCI analysis, type 1 larger than 500,000 $m^3$ storage capacity with gate has the lowest environment impact in the 6 impact categories. The impact of the type 1 accounts for 7~35 % of the type 2 for supplying irrigation water. Comparing with the environment impacts of water for other uses such as drinking and industrial water, the impacts of 1 $m^3$ irrigation water supply is 4~45 % of the one for industrial water supply and 1~16 % of the drinking water's. The three types of LCI DB on the irrigation water by dams will be useful in the application of Life Cycle Assessment in agricultural products and environmental labelling including carbon footprint since it is complied to the guidelines of LCI DB constr uction issued by Ministry of Environment and Ministry of Knowledge Economy.

• 한국환경과학회지
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• 제7권3호
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• pp.251-262
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• 1998

A number of illustrated floras are generally used when we want to idenufy a name of a certain tree. This method, however, has not been efficient because it has taken a great deal of time and effort for persons who do not have much knowledge on the group of the plant. In contrast to this method, the use of taxonomical keys is very efficient for finding out the group of a certain plant. But this method Is very dirtficult for non-specialists to understand the taxonomical ternunology and thus has not been of general use. In thins context, this study was conducted to present the efficient way of the group of a certain tree through the computer database by using the brief forms of plant organs. The database consists of effect fields such as form of trunk and evergreen or deciduous, types of leaf and leaf arrangement, existence of price and hair on twig, form of leaf margin, leaf form and venation, existence of hair on leaf surface and petiole, length of leaf and petiole. The 222 species of tree used for landscape architecture were sorted by items of the eight fields. As a result, the 222 species were divided into 185 groups and the one group contains 7species, 2 groups contain 3 species, 27 groups contain 2 species and 155 groups contain only one species. Therefore it is suggested that the use of computer database and illustrated floras is very easy and efficient in identifying a tree.

• 한국의사학회지
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• 제36권1호
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• pp.143-154
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• 2023

This paper is a study that considers how current scientific medicine could be supported by traditional medicine, and if the scope of this support is expected to gradually widen. This study begins by understanding the process by which Traditional Chinese Medicine (TCM) has developed interventions for COVID-19. We then examine what support is offered by the ancient Korean medical text "Uibang Yuchi". This paper insists that a key database is absolutely necessary to develop treatment techniques for new diseases. The key database should be considered not only from the point of view of knowledge but also from the point of view of intellectual property rights, and for this reason, the text of "Uibang Yuchi" is important. This paper shows the process of how a new treatment technique can be derived from the ancient book "Uibang Yuchi". We expect that the suggested model would play a role as a reference model in the process of pursuing similar strategies in the future.

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2008년도 추계학술발표대회
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• pp.325-327
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• 2008

In electrical industry, classification methodology has been an important issue for analyzing power consumption patterns. It has many applications including decisions on energy purchasing, load switching as well as helping in infrastructure development. Our aim in this work is to classify the electrical section and find potentially non-safe electrical sections. For this purpose, we use Emerging Patterns based classification. The classification method uses the aggregate score of emerging patterns to build classifier. The proposed methodology was applied to a set of electrical section data of the Korea power. The test data and relational electricity information and knowledge are supported by Korea Electric Power Research Institute (KEPRI).

• 한국의사학회지
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• 제15권2호
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• pp.59-82
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• 2002

"KoKeumDoSeoJipSeong" EuiBoo that is commonly known as 'EuiBooJeonRok' is a part of "HeumJeongKoKeumDoSeoJipSeong" which was published under Qing empire support and it has a significance in gathering all the results of eastern medicine until 18th century. It contained the best knowledge of the time and considered as the most precious book for two hundred years, but nowadays it is looked away in its value and use. We could prescribe the historical significance this classic medical book has and furthermore, embody the basic knowledge necessary for constructing database by studing compilation and editions. This is the significance the classic "DoSeoJipSeong" has and the significance of the digital EuiBooJipSeong which will be newly shown as a digital knowledge information system.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 1994년도 가을 학술발표회 논문집
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• pp.137-144
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• 1994

This study describes an application of a knowledge-based system for a part of the development of an integrated structural design system. In preliminary structural design procedure, most structural design operation are performed by structural engineer's manual method. These lack of systematic operation hampers the effective system integration. By introducing expert system to the structural planning stage, structural engineer can automate structural Planning process of an integrated structural design system for complex design. Engineering data management is receiving increasing attention due to complexity of information necessary for performing structural engineering operations. So, in this paper, we describe a methodology for automating conceptual structural design and developing a knowledge-based system integrated with database. At the end, we use an implemented example to support our methodology.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.281-287
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• 1999

Decision class analysis (DCA) is viewed as a classification problem where a set of input data (situation-specific knowledge) and output data (a topological leveled influence diagram (ID)) is given. Situation-specific knowledge is usually given from a decision maker (DM) with the help of domain expert(s). But it is not easy for the DM to know the situation-specific knowledge of decision problem exactly. This paper presents a methodology fur sensitivity analysis of DCA under incomplete information. The purpose of sensitivity analysis in DCA is to identify the effects of incomplete situation-specific frames whose uncertainty affects the importance of each variable in the resulting model. For such a purpose, our suggested methodology consists of two procedures: generative procedure and adaptive procedure. An interactive procedure is also suggested based the sensitivity analysis to build a well-formed ID. These procedures are formally explained and illustrated with a raw material purchasing problem.

• 한국데이타베이스학회:학술대회논문집
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• 한국데이타베이스학회 1999년도 춘계공동학술대회: 지식경영과 지식공학
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• pp.125-133
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• 1999

The objective of knowledge discovery and data mining lies in the generation of useful insights from a store of data. This paper presents a framework for knowledge mining to provide a systematic approach to the selection and deployment of tools for automated learning. Every methodology has its strengths and limitations. Consequently, a multistrategy approach may be required to take advantage of the strengths of disparate technique while circumventing their individual limitations. For concreteness, the general framework for data mining in marketing is examined in the context of developing agents for optimizing a supply chain network.

• 한국경영과학회:학술대회논문집
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• 대한산업공학회/한국경영과학회 1995년도 춘계공동학술대회논문집; 전남대학교; 28-29 Apr. 1995
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• pp.79-90
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• 1995

The material handling equipment selection, that is a key task in the material handling system design, is a complex, difficult task, and requires a massive technical knowledge and systematic analysis. It is invaluable to justify the selected equipment model by the performance evaluation before its actual implementation. This paper presents an intelligent knowledge-based expert system called "IMESE" created by authors, for the selection and evaluation of material handling equipment model suitable for movement and storage of materials in a manufacturing facility. The IMESE is consisted of four modules: a knowledge base to select an appropriate equipment type, a multiple criteria decision making procedure to choose the most favorable commercial model of the selected equipment type, a database to store the list of commercial models of equipment types with their specifications, and simulators to evaluate the performance of the equipment model. The whole process of IMESE is executed under VP-Expert expert system environment.vironment.