• Smart Structures and Systems
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• v.13 no.6
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• pp.901-925
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• 2014

The reliability of a Bridge management System depends on the quality of visual inspection and the reliable estimation of bridge condition rating. However, the current practices of visual inspection have been identified with several limitations, such as: they are time-consuming, provide incomplete information, and their reliance on inspectors' experience. To overcome such limitations, this paper presents an approach of automating the prediction of condition rating for bridges based on digital image analysis. The proposed methodology encompasses image acquisition, development of 3D visualization model, image processing, and condition rating model. Under this method, scaling defect in concrete bridge components is considered as a candidate defect and the guidelines in the Ontario Structure Inspection Manual (OSIM) have been adopted for developing and testing the proposed method. The automated algorithms for scaling depth prediction and mapping of condition ratings are based on training of back propagation neural networks. The result of developed models showed better prediction capability of condition rating over the existing methods such as, Naïve Bayes Classifiers and Bagged Decision Tree.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2004.10a
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• pp.170-174
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• 2004

Despite the widespread use in the various manufacturing industries, the full automation of the robotic CO$_2$ welding has not yet been achieved partly because the mathematical model for the process parameters of a given welding task is not fully understood and quantified. Several mathematical models to control welding quality, productivity, microstructure and weld properties in arc welding processes have been studied. However, it is not an easy task to apply them to the various practical situations because the relationship between the process parameters and the bead geometry is non-linear and also they are usually dependent on the specific experimental results. Practically, it is difficult, but important to know how to establish a mathematical model that can predict the result of the actual welding process and how to select the optimum welding condition under a certain constraint. In this paper, an attempt has been made to develop an Radial basis function network model to predict the weld top-bead width as a function of key process parameters in the robotic CO$_2$ welding. and to compare the developed model and a simple neural network model using two different training algorithms in order to verify performance. of the developed model.

• Journal of Distribution Science
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• v.12 no.5
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• pp.109-117
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• 2014

Purpose - The study investigates the history, production methods, market scale, and distribution of the traditional liquors of three countries: South Korean sokokju, Chinese shaoxing-chiew, and Japanese sake. These have similar production methods, being made from rice or cereal, cores of their respective food industries. Research design, data, and methodology - The study investigated the history of the three liquors, liquor classification in the three countries, and production methods. It examined the scale of the traditional liquor market and these countries' distribution structure. Results - Brand cognition of traditional liquors is affected by a focus on wellbeing and LOHAS (lifestyle of health and sustainability). Promotion and marketing strategies along with a high quality image, shelf life of draft liquor, traditional liquor identification systems, and high taxes on traditional liquor, and the need for continuous R&D and training of professionals all impacted the industry. Conclusions - These countries play important roles in world trade, seeking economic integration. By forming a free trade agreement (FTA), their traditional liquors, with a proud history, can be jointly branded in the world market.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.603-611
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• 2020

Higher education has long been considered as a means of human resource development in a nation. The faculty member plays a significant role in improving the quality of higher education. It is clear that job satisfaction and motivation have effect on the faculty member's performance. The objective of this study is to investigate the levels and factors affecting lecturers' motivation in Vietnamese public universities. In this study, ordinary least squares (OLS) and exploratory factor analysis (EFA) have been utilized to identify the factors affecting work motivation of lecturers at Vietnamese universities. A questionnaire was administered to a sample of 189 lecturers at different public universities in Vietnam. The finding indicates that seven factors including Work characteristics (WC), Wage and welfare (WW), Social recognition (SR), Peer relationships (PR), Training and promotion opportunities (PO), Leader caring (LC) and Teacher-student interaction and student's attitude (IA) have positive effect on lecturers' work motivation. Among these factors, Teacher-student interaction and student's attitude (IA) has the strongest impact with the coefficient of 0.631 and Peer relationships (PR) has the least impact on work motivation with the coefficient of 0.020. The study findings can facilitate the understanding of how to increase work satisfaction at the universities in Vietnam.

• 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 Korean Academy of Nursing
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• v.43 no.4
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• pp.507-516
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• 2013

Purpose: The purpose of this study was to use cost-benefit analysis of activity to clarify the economic effect of prepared nurses versus atmospheric environment managing engineers as healthcare managers. Methods: For the study 111 workplaces were surveyed, workplaces in which nurses or atmospheric environment managing engineers were employed as healthcare managers. The survey content included annual gross salaries, participation in external job training, costs in joining association covered by the company, location and year of construction of the healthcare office, various kinds of healthcare expenditures, costs in operating healthcare office, health education, and activity performance in the work of environment management. Results: In the case of the healthcare manager being a nurse, benefit was larger than input costs at a ratio of 2.31. On the other hand, in the case of healthcare manager being an atmospheric environment managing engineer, input costs were larger than benefits (benefit-cost ratio 0.88). Conclusion: Results indicate that nurses are an effective healthcare human resource and can offer good quality healthcare service. Therefore companies should hire nurses and actively promote the economic efficiency of nurses in workplace.

• Knowledge Management Research
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• v.10 no.4
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• pp.185-207
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• 2009

One of the most important issues in a small and medium sized enterprise (SME) is to identify how to apply IT to the organization so that it maximizes the effectiveness of IT. In general, a large company mainly plans to adopt, implement, and stimulate a new IT in a viewpoint of advanced IT system's capability for maximizing the effectiveness of IT. However, SME requires a totally different approach since SME's situation is different from a large enterprise's one. In this study, we investigate several factors that have an influence on the successful IT adoption and implementation of a SME through the case of Hwacheon. We also find out that CEO's support, CEO-initiating strategic meeting, IT development ability, and organizational compatibility in the introduction stage of IT are relatively more important than those in the implementation stage of IT, whereas IT flexibility, system quality, training and support, overcoming organizational resistance and performance improvement in the implementation stage of IT play critical roles in the IS success. Our results show that the advance of IT may not guarantee the success of IT implementation.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.48 no.2
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• pp.107-114
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• 1999

This paper presents an application of artificial neural networks(ANN) to assess the dynamic security of power systems. The basic role of ANN is to provide assessment of the system's stability based on training samples from off-line analysi. The critical clearing time(CCT) is an attribute which provides significant information about the quality of the post-fault system behaviour. The function of ANN is a mapping of the pre-fault, fault-on, and post-fault system conditions into the CCT's. In previous work, a feed forward neural network is used to learn this mapping by using the generation outputs during the fault as the input data. However, it takes significant calculation time to make the input data through the network reduction at a fault as the input data. However, it takes significant calculation time to make the input data through the network reduction at a fault considered. In order to enhance the speed of security assessment, the bus data and line powers are used as the input data of the ANN in thil paper. Test results show that the proposed neural networks have the reasonable accuracy and can be used in on-line security assenssment efficiently.

• Proceedings of the Korea Contents Association Conference
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• 2014.11a
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• pp.235-236
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• 2014

군의 교육훈련간 디브리핑과 피드백 장치 활용을 통한 심폐소생술 교육방법을 적용하여 보다 효과적인 교육 방법을 확인하고 심폐소생술 수행 전 후 피로도를 검사하여 심폐소생술 술기가 숙달된 인원과 숙달되지 않은 인원의 피로도 차이를 분석함으로써 심폐소생술 교육프로그램의 기초자료를 제공하고자 한다. 현재 야전에서 응급처치교육을 받은 적이 없는 비 의무병인자로 전투병 생존법 교육 소집 대상자 중 참여 희망자 50명을 대상으로 하였다. 연구방법은 3가지 교육방법(디브리핑, 피드백장치, 디브리핑과 피드백장치 조합) 을 적용한 3개의 그룹에서 1,2,3차의 평가와 전체 디브리핑을 통해 심폐소생술 수행능력의 질적 향상에 미치는 영향과 동일 대상 중 희망자 20명에 한하여 심폐소생술 수행(5분) 전 후 혈중 젖산 농도 측정 및 주관적인 문답(1~10점)을 통해 심폐소생술 수행에 따른 피로도 실험을 진행하였다. 3가지 교육방법에 따른 심폐소생술수행능력 향상은 모든 그룹에서 유의하였으며(p<.001), 그룹별 심폐소생술 수행능력 향상효과의 차이는 디브리핑과 피드백장치를 조합하여 적용한 그룹에서 유의하게 높았다(p<.01). 심폐소생술 수행능력이 숙달되기 전 후의 피로도에 대해서는 본인이 느끼는 피로도는 유의한 차이는 없었으나 혈중 젖산농도에 따른 피로도는 유의한 차이로 전보다 후가 낮아졌다(p<.01).

• The Korean Journal of Rehabilitation Nursing
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• v.18 no.2
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• pp.75-87
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• 2015

Purpose: The purpose of this study was to develop a home-based self-management support intervention (SMSI) for enhancing pulmonary rehabilitation (PR) in patients with chronic obstructive pulmonary disease (COPD) in Korea. Methods: This methodological study was conducted by following these 4 steps: constructing the preliminary draft of a home-based SMSI from existing recommendation and a literature review on PR and self-management interventions; testing content validity with 6 experts in COPD; exploring clinical applicability of the intervention by applying it to 4 COPD patients; determining the final intervention. Results: The final intervention included 4 components and contents identified from the literature review as essentials for self-management of COPD patients: education; exercise training and practice including breathing, muscle strengthening and aerobic exercises; cognitive behavioral strategies including informative self-decision making, collaborative goal setting and supportive advice; and action planning for exacerbation. The intervention was designed to be run by a trained nurse and had 8 weekly sessions consisting of three 60-minute face-to-face sessions and five 20-minute phone-call sessions. Conclusion: The intervention developed in this study incorporates essential components of self-management, i.e. action plan and cognitive behavioral strategies, and will contribute to enhancing and maintaining effects of PR by increasing self-management in COPD patients.