• The Journal of Korean Academic Society of Nursing Education
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• v.10 no.1
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• pp.125-138
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• 2004

This study aims to explore the meanings of clinical expert nurse's professional experience. This study was based on a phenomenological approach. All participants were working at S-hospital, located in Seoul. Data were collected through in-depth interviews which were performed from October 2003 to September 2003. Interviews lasted one and half hours and data were analysed by Giorgi method.Four main meanings were identified: 1) scientific clinical nursing practice, 2) value oriented clinical nursing practice, 3) collaborative clinical nursing practice and 4) proactive clinical nursing practice. The results of this study showed that there were clinical expert nurse's nursing activites in South Korea. In order to develop the professionalims or experts of the clinical nursing practice, specialized programs stimulating nurse's personal effort and systmemic education and institutional programs are needed.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.31B no.10
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• pp.53-66
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• 1994

In this paper, a fuzzy expert system is developed for fault diagnoisis of a drum-type boiler system in fossil power plants. The develped fuzzy espert system is composed of knowledge base, fuzzification module, knowledge base process module, knowledge base management module, inference module, and linguistic approximation module. The main objective of the fuzzy expert system is to check the states of the system including the drum level and detect faults such as the feedwater flow sensor fault, feedwater flow control valve fault, and water wall bube rupture. The fuzzy expert system diagnoses faults using process values, manipulated values, and knowledge base which is built via interviews and questionaries with the experts on the plant operations. Finally, the validity of the developed fuzzy expert system is shown via experiments using the digital simulator for boiler system is Seoul Power Plant Unit 4.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2002.10a
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• pp.632-635
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• 2002

There are more than five dozen different RP(rapid prototyping) systems in the world and they are fairly expensive. All those systems have different capabilities and requirements in that each of them gives different tolerance, application field and part strength, etc. This situation may cause a problem of selecting an appropriate RP system. This paper presents an expert system, utilizing an algorithm that is composed up of rules to derive recommendations and answers to queries of the RP users. The expert system incorporates RP machines commercially available and adopts multi-selection criteria, namely, machine price, accuracy, build size, adopted process, etc. In the expert system, forward reasoning method is adopted and external spreadsheet for sub-data of the RP systems is used. The rules and knowledge are obtained from interviews and discussions with RP vendors and users, appropriate research publications and other reference materials.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.1
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• pp.18-37
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• 2016

Cloud computing is an upcoming technology and emerging concept in the field of information technologies. Companies have begun to invest in cloud computing with the expectation that it will improve their business performances, operations, and processes. However, many companies are not so much aware of the cloud computing, so they can hesitate to adopt this new technology. The aims of the study are analyzing factors affecting the adoption of cloud computing and applying structural equation modeling technique to analyze the important dimensions of the adoption. Concordantly, previous studies are examined and expert interviews are arranged. Based on both our literature review and expert interviews, a model is proposed to measure the adoption of cloud computing. It is obvious that there are scarce researches about cloud computing adoption in the literature. Thus, the originality of the paper lies on that it proposes a research model for cloud computing adoption and it investigates various dimensions of cloud computing adoption in detail.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2015.05a
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• pp.113-114
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• 2015

Throughout the world, energy sector is increasing in importance. Reflecting this situation, the government has introduced an energy efficiency rating system for buildings. In particular, the government is planning to introduce the energy evaluator examination system. In this study will want to analyze the relevant sectoral perception for the energy evaluator through expert interviews and surveys. The research results are expected to contribute to the rational management of the energy evaluator system.

• International Journal of Internet, Broadcasting and Communication
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• v.15 no.3
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• pp.135-148
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• 2023

The Code of Ethics for Newspaper Advertising in Korea, first implemented in 1976 and subsequently revised in 1976, 1996, and 2021, is a critical regulatory instrument for the country's advertising sector. However, the specialized domain of "advertising ethics," particularly the "code of advertising ethics," remains under-explored. This research addresses this scholarly gap, providing an empirical analysis of the 2021 amendment's revision trajectory. This study employs a robust methodological approach, integrating expert interviews and small-group AHP-based surveys. This approach allows for a comprehensive understanding of the revision needs, referencing existing ethical codes studies, and comparing similar ethics codes nationally and internationally. The research further investigates key challenges such as personal data protection and copyright issues in the rapidly evolving digital media landscape, while preserving the existing code's inherent value. The findings are expected to significantly contribute to the emerging field of advertising ethics in Korea, offering practical implications for future code revisions.

• Journal of the Ergonomics Society of Korea
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• v.26 no.4
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• pp.17-24
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• 2007

Analyses of eye tracking and think-aloud protocol data were performed to examine novice-expert differences in perceptual and cognitive aspects of air traffic controllers' situation awareness. In Experiment 1, three groups of field air traffic controllers (experts, intermediates, novices) were asked to perceive situations that were manipulated by situation complexity. In Experiment 2, protocol analysis for previous situation awareness tasks was performed to extract different task models and strategy models as a function of expertise. Then delayed-recall task and interviews about air control plans for the recalled situations were also executed. Results showed that expert controllers concentrate only on several critical features and have their own strategies to reduce mental workloads.

• Journal of Korean Institute of Industrial Engineers
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• v.19 no.2
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• pp.83-93
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• 1993

Conventional computer programs developed and used by practicing engineers can be considered to contain expert knowledge and design experience. If these conventional programs are converted into expert systems, the difficult and time consuming process of knowledge acquisition can be simplified. Also the constructed knowledge-base can have higher confidence level than that constructed by the usual knowledge acquisition method of interviews. An existing computer program which is being used by ship structural designers has been reformulated as a design expert system by applying an expert system development shell-Nexpert. Utilizing the callable interface provided by the development shell, external design tools have also been integrated. The interfaced external functions are a graphical user interface (GUI) for the design process control, and graphics functions for the visualization of design results. It is observed that the developed system for design support is useful in two aspects. The trace-back function shows what portion of design rules are applied in arriving at certain design decisions. Also the knowledge-base can be conveniently updated as design rules of the classification societies are updated.

• Computers and Concrete
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• v.9 no.2
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• pp.99-118
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• 2012

Marine Structures are very costly and need a continuous inspection and maintenance routine. The most effective way to control the structural health is the application of an expert system that can evaluate the importance of any distress on the structure and provide a maintenance program. An extensive literature review, interviews with expert supervisors and a national survey are used to build a decision support system for concrete structures in sea environment. Decision trees are the main rules in this system. The system input is inspection information and the system output is the main cause(s) of distress(es) and the best repair method(s). Economic condition, severity of distress, distress situation, and new technologies and the most repeated classical methods are considered to choose the best repair method. A case study demonstrates the application of the developed decision support system for a type of marine structure.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06c
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• pp.632-637
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• 1996

An expert system for cucumber disease and nutritional disorders(ESCD) was developed using HCLIPS in which several interface programs were added to CLIPS developed in NASA. The knowledges for constructing knowledge base was obtained from interviews with farmers, agrochemical vendors and employees of agrochemical company. The ESCD is able to diagnose eleven diseases and twelve nutritional disorders which farmers, agrochemical vendors and employees of agrochemical company. The ESCD is able to diagnose eleven diseases and twelve nutritional disorders which could frequently found in fields and greenhouses. Validation of ESCD by twenty -four experts proved a possibility of its practical use for diagnosing cucumber diseases and nutritional disorders in the future.