• Journal of Korean Academy of Nursing Administration
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• v.18 no.2
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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.

• Journal of the Korean Society for information Management
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• v.20 no.1
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• pp.341-371
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• 2003

The purpose of the study is to design the ontology-based Prescription Knowledge Management System of Oriental Medicine. The study was done with the premise that the effectiveness of the system can be improved by using ontological abstractional structure based on definition of concept, attribution and relations of words related to the specific area. The system is developed with Protege-2000 by using newly developed KPML(Korean Medicine Prescription Markup Language). The results of the study provide the model of Prescription Knowledge Management System and the possibility of implementing XML-based ontology system to the semantic web environment.

• The Korean Journal of Emergency Medical Services
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• v.18 no.3
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• pp.91-104
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• 2014

Purpose: This study aimed to confirm the effects of a simulation-based program on knowledge and clinical performance in the post-operative management of emergency patients. Methods: This was a pre- and post-research design with a nonequivalent control group and randomly sampled 29 experimental and control groups, respectively from nursing department juniors for 4 weeks from September of 2014. The experimental group received lectures, team study, team simulation, and debriefing in post-operative management of simulation-based emergency patients and control group conducted in the traditional lecture-type setting. Educational learning effects were measured by using the knowledge and clinical performance measurement tools of 15 and 20 items, respectively. Data were analyzed by using the SPSS program, including frequency, ratio, and results from the Chi-square test, Fisher's exact test, Kolmogorov-Smirnov test, t-test. Results: Our research results indicate that, the experimental group showed significantly higher knowledge and clinical performance score compared with the control group. Conclusion: We confirmed that education on post-operative management of simulation-based emergency patients was an effective educational method to improve the knowledge and clinical performance of nursing students.

• Transactions of Materials Processing
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• v.7 no.6
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• pp.554-561
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• 1998

This paper describes a research work of developing a computer-aided design of lead frame semicon-ductor with piercing operation which is very precise for progressive working. An approach to the sys-tem is based on to knowledge-based rules. Knowledge for the system is formulated from plasticity theories experimental results and the empirical knowledge of field experts. This system has been writ-ten using AutoLISP to AutoCAD on a personal computer and is composed of three main modules which are input and shape treatment production feasibility check and strip-layout module. Based on the knowledge-based rules the system is designed by considering several factors such as material and thickness of product complexities of blank geometry and punch profile, and availability of press. Also strip-layout drawing generated by piercing operation according to punch profiles considered V-notch dimple. pad chamfer spank cavity punch camber and cross bow of lead frame is displayed in graphic forms. This system can be used by a novice who may not have any knowledge of tool design and will invrease efficiencies to the designer in this field.

• Journal of the Economic Geographical Society of Korea
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• v.20 no.2
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• pp.137-157
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• 2017

As unemployment rises and economic growth slows, interest in startups, which is considered to be the driving force of job creation, is increasing. This study aimed to analyze the employment effects of knowledge-based startups in South Korea. In particular, startups were divided into three categories (knowledge-based manufacturing, knowledge-based service, and other industries) and the region were divided into the capital region and the other regions. The result of the analysis, which used census on Establishments Data from Statistics Korea(KOSIS), showed that the employment effects of startups change in three steps over time. When new firms were created, employment increases instantly. However, as the competition among firms increases, some firms exit the market and employment decreases. In the long-term, some firms will survive the market competition and increase their firm size and the number of jobs they offer. The total employment effect was greater for knowledge-based startups than the other industries startups. The total employment effect of knowledge-based startups are 2.84%p for the period of 6 years. Startups in the Capital region showed higher employment effect than startups in other regions. This implies that in the capital region, employment increases more after the startups are created, but due to fierce competition, employment also decreases relatively more than it does in other regions. However, companies that survive competition create more employment. This study may give some policy implications that startup policies should be tailored to the startup's type and regional characteristics in order to achieve more effective job creation performance.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.18 no.3
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• pp.383-391
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• 2011

Purpose: This study was done to develop a web-based education program on appropriate antibiotic use and test the effects of the program on knowledge and attitudes towards antibiotic use in Korean adolescents. Methods: The web-based education program was developed through an extensive literature review and professional advisory meetings including technical assistance from a web-based education programmer and content experts. A convenience sample of 851 students from middle and high schools participated in the assessment of effects of the program. Knowledge and attitudes of the students towards antibiotic use and satisfaction with the web-based education program were measured. Descriptive statistics and paired t-test were used to analyze the data. Results: There were significant improvements in knowledge and attitudes towards antibiotic use following self-learning via the web-based education program in both middle and high school students. High school students demonstrated higher scores in knowledge and attitudes than middle school students. Conclusion: The results of this study indicate that this web-based education program on appropriate antibiotic use is a convenient and effective medium for self-learning in adolescents. Therefore the web-based program should be put into wide use as an effective and convenient teaching method for health education in secondary schools.

• ETRI Journal
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• v.36 no.5
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• pp.714-720
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• 2014

In this paper, we propose the use of data-driven probabilistic utterance-level decision logic to improve Weighted Finite State Transducer (WFST)-based endpoint detection. In general, endpoint detection is dealt with using two cascaded decision processes. The first process is frame-level speech/non-speech classification based on statistical hypothesis testing, and the second process is a heuristic-knowledge-based utterance-level speech boundary decision. To handle these two processes within a unified framework, we propose a WFST-based approach. However, a WFST-based approach has the same limitations as conventional approaches in that the utterance-level decision is based on heuristic knowledge and the decision parameters are tuned sequentially. Therefore, to obtain decision knowledge from a speech corpus and optimize the parameters at the same time, we propose the use of data-driven probabilistic utterance-level decision logic. The proposed method reduces the average detection failure rate by about 14% for various noisy-speech corpora collected for an endpoint detection evaluation.

• Journal of Ship and Ocean Technology
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• v.5 no.3
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• pp.27-35
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• 2001

In this research, hybrid method with case-based reasoning and rule-based reasoning is applied. Using case-based reasoning, design experts'experience and know-how are effectively represented in order to obtain a proper configuration of midship section in the initial ship design stage. Since there is not sufficient domain knowledge available to us, traditional case-adaptation algorithms cannot be applied to our problem, i.e., creating the configuration of midship section. Thus, new case-adaptation algorithms not requiring any domain knowledge are developed antral applied to our problem. Using the knowledge representation of DnV rules, rule-based reasoning can perform deductive inference in order to obtain the scantling of midship section efficiently. The results from the case-based reasoning and the rule-based reasoning are examined by comparing the results with various conventional methods. And the reasonability of our results is verified by comparing the results wish actual values from parent ship.

• Journal of Korea Game Society
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• v.9 no.3
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• pp.139-150
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• 2009

This paper attempts to investigate the establishment of an interactive knowledge base for action planning by virtual agents and an interactive knowledge-based planning system. A fixed knowledge base is unable to properly handle a change in circumstances because fixed planning is only available under a fixed knowledge base. Therefore, this paper proposes the establishment of an interactive knowledge base which is applicable to diverse environments and an artificial intelligence planning system in which an interactive knowledge base is available. The interactive knowledge base proposed in this paper consists of motivation, behavior, object and action. The association relationship between knowledge base and its input is set using an automation tool. With this tool, a user can easily add to or amend the components of the knowledge base. With this knowledge base, a character plans all action items and chooses one of them to take an action. Since a new action can be applicable by updating the knowledge base even when the character environment changes, it is very useful for virtual reality content developers. This paper has established a relationship between scalable interactive knowledge base components and other components and proposes a convenient input tool and a planning system algorithm effective for an interactive knowledge base. The results of this study have been verified through testing in a virtual environment ('virtual library').

• Knowledge Management Research
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• v.22 no.1
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• pp.217-242
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• 2021

The purpose of this study is to examine the research trends in the filed of individual knowledge hiding through keyword network analysis. As individuals intentionally hide their knowledge beyond not sharing their knowledge in organizations and the research on knowledge hiding steadily spreads, it is necessary to examine the research trends regarding knowledge hiding behaviors. For keyword network analyses, we collected 346 kinds of 578 keywords from 120 articles associated with knowledge hiding behaviors. We also transformed the keywords to 86 nodes and 667 links by data standardizing criteria and finally analyzed the keyword network among them. Moreover, this study scrutinized knowledge hiding trends by comparing the conceptual model for knowledge hiding based on literature review and the network structure based on keyword network analysis. As results, first, the network centrality degree, knowledge sharing, creativity, and performance was higher than others in Degree, Betweenness, Closeness centrality. Second, this study analyzed ego networks about psychological ownership and individual emotion theoretically associated with knowledge hiding and explored the relationship between variables through comparing with the conceptual model for knowledge hiding. Finally, the study suggested theoretical and practical implications and provided the limitations and suggestions for future research based on study findings.