• Journal of Digital Convergence
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• v.10 no.4
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• pp.297-308
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• 2012

This study is intended to estimate the demand for the green health industry market, to seek for the strategies to develop human resources and to provide fundamental data for development of local green health industry specialization programs in the manner of investigating the intentions to participate in and opinions about the green health industry. Data were collected from 190 and surveyed from 5 to 19 in November 2010. Based upon the priority survey and factor analyses of educational contents for development of human resources specializing in the green health industry, there is some difference in the classification of all domains between the two groups, however the results concerning the cognition of the language education of educational contents and the priority of medical tourism marketing are similar between the two groups. As one of the biggest problems with medical tourism is the difficulty of communication during medical examination and treatment, it is desirable to develop professional human resources with global competitiveness based on customized education as well as excellent language skills by the specialized fields of green health industry.

• The Journal of the Korea Contents Association
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• v.10 no.1
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• pp.446-456
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• 2010

Environmental sculptures not only play a part as various cultural facilities but also symbolize local unique culture beyond the limit of functional role. Therefore subway environmental sculptures not only should be approached in terms of public installations and beauty but also should be designed to meet the needs of subway users appropriately. In order to find out what subway users think about environment sculptures installed in subway stations, the factors that can evaluate awareness and preference for environment sculptures and visual image of environment sculptures were examined and analyzed. Positive elements have been shown with regard to environment sculptures but it was judged that visual quality of subway environment can be improved more if environment sculptures keep in harmony with the characteristics of stations.

• Journal of the Korean Geotechnical Society
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• v.34 no.6
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• pp.37-47
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• 2018

In this study, 34 laboratory load test data were collected, and analyzed to propose the equations for predicting ultimate bearing capacity of sand compaction pile (SCP) and gravel compaction pile (GCP) reinforced clay. The collected data were compared with the ultimate bearing capacity estimated by existing theoretical equations, and the prediction accuracy of the existing theoretical equations was identified. Also, multiple regression analysis was performed to predict the ultimate bearing capacity, and the most efficient number and type of input variables were selected through error evaluation by leave-one-out cross validation. Finally, the multiple regression equations for estimating the ultimate bearing capacity of laboratory load test for SCP and GCP were proposed, and their performance was evaluated.

• Proceedings of the Korean Society of Propulsion Engineers Conference
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• 2017.05a
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• pp.892-895
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• 2017

As a component development of heavy duty industrial gas turbine combustor development program, pressure swirl simplex injector was designed and tested to figure out spray characteristics and performance. Injector flow rate as a function of pressure drop was measured and compared to the design target. Also spray shape was analyzed qualitatively and spray cone angle was measured from spray visualization image using shadowgraph. The flow test result showed that the injector was designed and manufactured correctly according to the design target and spray cone angle was measured from shadowgraph result. As a next step, PDA (Phase Doppler Anemometry) measurement is planned to figure out more specific spray performance and characterization.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.12 no.11
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• pp.5027-5033
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• 2011

The purpose of this study was to analyze a qualitative research on the essential structure of the acculturation of North Korean defectors, who settled in South Korea. The participants in this study were nine North Korean defectors who had resided in the city of D, South Korea, for three years or more after defecting from North Korea. After an in-depth interview, collected data were analyzed by applying Colaizzi's phenomenological method. As a result, their acculturation were classified into three categories : 'heterogeneity coming from different cultures', 'undergoing various sufferings after defection', and 'trying to tide over the difficulties in the actuality'. And 11 clusters of theme were selected. It's basically meant in this study to find out problems North Korean Defectors encountered and their process of overcoming the difficulties in an effort to step up the acculturation of the new settlers and ease their difficulties. And it's suggested that adjustment programs should be provided for them to fit into South Korean society.

• Resources Recycling
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• v.26 no.4
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• pp.19-25
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• 2017

The ways of producing metal silicon include a carbon reduction method, a plasma reduction method, and a thermite reaction method. The carbon reduction process produces metal silicon by metallurgical refining. The carbon reduction method is produced by adding a raw material mixed with quartz and coke to an electric arc furnace which is for carbon reduction. The cost of high energy costs and environmental protection facilities is an issue when producing metal silicon using electric arc furnaces. For this reason, there is no metal silicon production facility in Korea yet. Therefore, the optimal manufacturing conditions by the carbon reduction method are being studied through the experimental facilities by the companies and research institutes. The present study investigated the change of metal silicon purity according to the purity of silicon when extracting metal silicon using the thermit reaction, which has a relatively lower manufacturing cost than the carbon reduction method.

• Journal of KIISE:Information Networking
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• v.36 no.5
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• pp.437-455
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• 2009

In the near future, various multicast based services will be provided over clustered wireless networks. To provide multicast services in secure manner, multicast messages are encrypted by using group key which is shared by group members. Therefore, various group key management schemes have been introduced until now. Among them, tree based approach is one of the most representative paradigms in group key management. Traditional tree based approaches effectively reduce rekeying message transmissions of the key distribution center. However, they do not consider the network bandwidth used for transmitting the rekeying messages. In this paper, we firstly present formulas that describe bandwidth consumption of tree based group key management scheme. Based on our formulations, we propose a bandwidth efficient key tree management scheme for clustered wireless networks where membership changes occur frequently. Simulation results show that our scheme effectively reduces the bandwidth consumption used for rekeying compared to existing key tree schemes.

• Journal of the Korea Convergence Society
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• v.10 no.11
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• pp.117-124
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• 2019

Recently, medical IT solutions are being provided on a distributed environment basis. In Korea, the necessity of developing a clinical decision support system that can share medical information in a distributed environment has been recognized and studied. The existing clinical decision support system is being built using only medical information of its own within the hospital. This makes it difficult for existing systems to achieve good results in terms of efficiency and accuracy of decision support. In order to solve these limitations, this paper proposes a design and implementation method of clinical decision support system based on common data model in medical field. To explain the application process of the proposed model, we describe the development scenario of the clinical decision support system for the diagnosis of colorectal cancer. We also propose the essential requirements for the development of successful clinical decision support systems. Through this, it is expected that it will be possible to develop clinical decision support system that can be used in various hospitals and improve the efficiency and accuracy of the system.

• Korean Journal of Breeding Science
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• v.41 no.2
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• pp.126-129
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• 2009

The new Rubus coreanus Miq. variety, 'Doo-Ryun', was selected from 227 clones of the clone bank. This breeding was progressed to select the superior variety for high productivity from 1998 to 2005. To evaluate the clones, characteristics of a fruiting lateral and a ripe fruit were investigated. 'Doo-Ryun' was finally selected through selection of three times and stable trial at four different regions. 'Doo-Ryun' has specific morphological characteristics that are fewer thorn in lateral and strong glossiness of leaf upper side than contrast clone. The flowing and fruiting characteristics of 'Doo-Ryun' shown that the number of flower per fruitng lateral, the number of fruit per fruiting lateral, fruit weight and yield per individual were 17.2, 16.9, 1.73g and 4.50kg, respectively. Also, their selection effects were evaluated as 103.6%, 107.6%, 140.6% and 155.7% compared to the mean of whole clones in the clone bank, respectively.

• Food Engineering Progress
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• v.15 no.3
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• pp.214-220
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• 2011

$\beta$-Glucosidase enzyme reaction under high hydrostatic pressure was investigated in terms of physical chemistry. A model substrate (p-nitrophenyl-${\beta}$-D-glucopyranoside(pNPG)) was used, and the pressure effects on the enzymatic hydrolysis (pNPG${\rightarrow}$pNP) at 25 MPa, 50 MPa, 75 MPa, and 100 MPa were analyzed. Two parts of the reaction such as kinetic and equilibrium stages were considered for mathematical modelling, and their physicochemical parameters such as forward and inverse reaction constants, equilibrium constant, volume change by pressure, etc. were mathematically modeled. The product concentration increased with pressure, and the two stages of reaction were observed. Prediction models were derived to numerically compute the product concentrations according to reaction time over kinetic to equilibrium stages under high pressure condition. Conclusively, the $\beta$-Glucosidase enzyme reaction could be activated by pressurization within 100 MPa, and the developed models were very successful in their prediction.