• Journal of the Society of Naval Architects of Korea
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• v.29 no.1
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• pp.1-13
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• 1992

The objective of this study is to develop knowledge-based system for the preliminary design and midship section design of bulk carrier and to enhance the applicability of knowledge engineering in the field of Naval Architecture. First, expert system shell called E.1 is developed in C language. E.1 supports backward-chaining, automatic iteration procedure and reiterative inference mechanism for efficient application of knowledge-based system in structural design. Knowledge representation in E.1 includes IF-THEN rules, 'facts'and 'tables'. Second, knowledge bases for the principal particulars and midship section design are developed by experimental formula, design standard and experiential knowlege. Third, hybrid system combined this knowledge-based system with the optimization program of midship section is developed. Finally, the simplified design method utilizing the regression analysis of the optimum results of stiffened plate is developed for facilitating the design process. Using this knowledge-based system, the design process and results for Bulk carrier and stiffened plates are discussed. It is concluded that knowledge-based system is efficient for preliminary design and midship section design of the ship. It is expected that the performance of the CAD system would be enhanced if the better knowledge-base is accumulated in the E.1 tool.

• Proceedings of the IEEK Conference
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• 2002.07b
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• pp.1165-1168
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• 2002

Knowledge acquisition is the process that extracts the required knowledge from available sources, such as experts, textbooks and databases, for incorporation into a knowledge-based system. Knowledge acquisition is described as the first step in building expert systems and a major bottleneck in the efficient development and application of effective knowledge based expert systems. One cause of the problem is that the process of human reasoning we need to understand for knowledge-based system development is not available for direct observation. Moreover, the expertise of interest is typically not reportable due to the compilation of knowledge which results from extensive practice in a domain of problem solving activity. This is also a problem of modeling knowledge, which has been described as not a problem of accessing and translating what is known, but the familiar scientific and engineering problem of formalizing models for the first time. And this formalization process is especially difficult for knowledge engineers who are often faced with the difficult task of creating a knowledge model of a domain unfamiliar to them. In this paper, we propose an automated knowledge acquisition tool which is based on an implementation of the Inferential Modeling Technique. The Inferential Modeling Technique is derived from the Inferential Model which is a domain-independent categorization of knowledge types and inferences ［Chan 1992］. The model can serve as a template of the types of knowledge in a knowledge model of any domain.

• Knowledge Management Research
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• v.18 no.1
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• pp.1-24
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• 2017

The voluntary knowledge creation plays an important role in achieving competitive advantage in the organization from the perspective of knowledge management. Although many companies have introduced the Knowledge Management Systems (KMS) for this purpose, they have not gained the expected benefits from those systems. One of the reasons for that is KMS have not provided organization members with sufficient intrinsic motivation about knowledge creation, diffusion and application. Therefore, this study proposes a concept called psychological knowledge ownership as intrinsic motivation factor that facilitates knowledge creation and examines its antecedents and consequences. The research results show that reputation, self-efficacy, and expertise sharing have impacts on psychological knowledge ownership, which in turn influences knowledge creation attitude. In conclusion, we discuss both theoretical and practical implications of this research and suggest its limitations.

• Korean Journal of Adult Nursing
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• v.26 no.3
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• pp.253-265
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• 2014

Purpose: This study was done to develop and evaluate a smartphone application for the medication confirmation of high-alert medications. Methods: A nonequivalent control group non-synchronized design was used for this study. Participants in the treatment group used the application for four weeks. Data were analyzed using descriptive analysis, ${\chi}^2$-test, and t-test for the homogeneity of participants, and a paired t-test for effectiveness in each group with the SPSS 18.0. Results: Stability of medication administration was estimated by knowledge and certainty, ranged from a score of one to three. A correct answer with high certainty was coded as high stability, low certainty regardless of correct answer was coded as a moderate stability, and incorrect answers with high certainty were rated as low stability. There were no differences in 'knowledge of high alert medication', 'Certainty of knowledge', 'stability of medication administration', 'confidence of single checking medication', and 'medication safety activities' between the treatment group and the comparison group. The treatment group reported a greater difference between pretest and post-test in 'certainty of medication knowledge' (t=3.51, p=.001) than the comparison group. Conclusion: Smartphone application for medication confirmation of high-alert medications will provide an important platform for reducing medication errors risk.

• Journal of Korean Library and Information Science Society
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• v.46 no.1
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• pp.177-202
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• 2015

This research was conducted to evaluate whether knowledge and information resources produced in four educational institutions function as a knowledge management system in the institutions, and to suggest a proposed plan for the foundation of the national knowledge management system. Knowledge and information resources available on the institutes' websites were classified as 'knowledge and information resources of result', 'knowledge and information resources of process', and 'knowledge and information resources of communication'. The application of metadata and the configuration of the search system were examined by content analysis method. From the result, 8 ways to improve the management of knowledge and information resources have been found; the development of standardized metadata and classification scheme, high recognition that the website is a counter for external distribution of knowledge and information resources, various searching skills and the provision of knowledge maps available, provision of linked information for original information acquisition, awareness of the agency managers and homepage managers to the homepages as knowledge management systems, segmentation of appropriate data size unit in a mobile environment work, an organic linkage function of the internal electronic approval system and the homepage have been proposed.

• Journal of Digital Convergence
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• v.16 no.3
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• pp.75-85
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• 2018

The purpose of this study was to analyze the college students' acceptance of PatentNOW, which was developed for effective proceeding of patent application education program. Results of this research as follow. First, perceived ease of use positively influenced perceived usefulness. Second, perceived usefulness and perceived ease of use positively influenced attitude toward using and attitude toward using also positively influenced behavioral intention to use. Third, the level of prior knowledge about the patent system and experience of patent application possessed by the users of PatentNOW had a negative effect on the relationship between perceived ease of use and attitude toward using. These results suggested that the teaching method of utilizing PatentNOW should be differentiated according to the level of prior knowledge of the students in order to improve the quality of patent application education.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.10a
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• pp.768-769
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• 2016

To prevent occupational disasters and build a pleasant work environment, it is necessary to develop a monitoring system to keep operators safe from the hazards. A variety of practical studies must be performed on application services designed to freely provide context-aware monitoring services in USN environments. This paper proposes a system in which work environment monitoring information can be monitored using a mobile phone and inference engine. The structure of a mobile work environment monitoring system is designed first. The proposed system is consisted of data manager, inference engine, database, and application knowledge base.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.6
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• pp.127-131
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• 2020

In today's financial industry, Fintech (financial technology) has showed its role of an innovation-driving area, which can bring outstanding changes to the traditional financial market. This article will briefly introduce Fintech as well as its development in Vietnam. Besides, the research also provided a survey on experts' opinions on the challenges to the promotion of Fintech application for the modernization of the banking-finance system in Vietnam. The survey results of 40 experts in banking with knowledge of Fintech identify five challenges faced by Fintech companies in Vietnam: (1) legal corridor; (2) infrastructure; (3) Fintech companies; (4) customers; and (5) human resources. From these five challenges/barriers, there are 14 detailed aspects. The results of the expert survey using descriptive statistics show that all five factors are assessed to be low and need to be better addressed in the future. The authors suggest several solutions for further development of Fintech to support the modernization of the banking-finance system in Vietnam: (1) quickly complete the regulatory framework; (2) introduce policies on tax exemption; (3) promote research and application of the benefits of block-chain technology; (4) utilize the abilities of the human resources; and (5) actively promote and popularize knowledge about Fintech.

• Knowledge Management Research
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• v.9 no.3
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• pp.173-194
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• 2008

Conventional financial accounting system has overseen the significant roles of the non-financial facets of the activities of the company, especially whose value creating abilities are based on knowledge assets. In the knowledge-based economy, telecommunication service companies must recognize the changes from the tangible assets to the knowledge assets as value creating resources, understand the dynamic processes in which the knowledge is converted to financial profits and seek the method to measure and report knowledge assets to sustain the competitive advantage continuously. This study proposes the indicators and measures of knowledge assets of Korea Telecom. Through the analysis and application of tile knowledge assets report of the Korea Telecom, this study shows the usefulness of the knowledge assets report.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2004.04a
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• pp.235-240
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• 2004

In this paper, we propose a framework for ontological knowledge-based image understanding systems. Ontology composed of concepts can be used as a guide for describing objects from a specific domain of interest and describing relations between objects from different domains The proposed framework consists of four main subparts ⅰ) ontological knowledge bases, ⅱ) primitive feature detectors, ⅲ) concept inference engine, and ⅳ) semantic inference engine. Using ontological knowledge bases on various domains and features extracted from the detectors, concept inference engine infers concepts on regions of interest in an image and semantic inference engine reasons semantic situations between concepts from different domains. We present a outline for ontological knowledge-based image understanding systems and application examples within specific domains such as text recognition and human recognition in order to show the validity of the proposed system.