• Industry Promotion Research
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• v.5 no.3
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• pp.37-44
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• 2020

Currently, the delayed compensation system, which does not reflect the R&D characteristics of the defense industry, is being applied, causing problems such as worsening management of defense companies and delayed power generation. The purpose of this study is to contribute to the development of the defense industry and the efficient promotion of combat capability by studying the improvement plan of the delayed compensation system reflecting the R&D characteristics of the defense industry. The research analyzed the defense industry R&D characteristics, national R&D, delayed compensation rate, reduction and exemption procedures and existing studies. Further, the Delphi technique was applied based on the status of the delayed compensation and the analysis of the cause of delay. It has been studied that it is not appropriate to apply the 'manufacturing and purchasing' standard of commercial products to defense industry R&D where the latest technology is applied and the success is unclear. Four measures were drawn to prevent delays, including the selection of excellent technology companies, and three measures to reduce delay compensation and apply differentials for rational treatment in case of delays. Just as the defense industry R&D is carried out under the Defense Acquisition Program Act due to the nature of the R&D industry, the defense industry will develop if the delayed compensation system is improved to reflect the R&D characteristics of the defense industry, and it will contribute to the acquisition of an efficient and economic weapons system.

• Korean Journal of Community Nutrition
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• v.15 no.1
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• pp.137-148
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• 2010

This study was conducted on 175 child-care teachers, who participated in in-service education, to research the methods to improve child-care teacher's nutrition management capability for infants and children. Investigated results of child-care teachers' nutrition knowledge, dietary attitude status, and needs on nutrition education in child-care centers are as follows: The score of child-care teachers' nutrition knowledge was 10.83 points out of 15, which is about 72%. Total score increased as teachers' age but not significantly different from their career duration, since teachers who have a child-care career less than 5 years acquired 10.91 points, which is higher than 10.64 points of teachers having more than 5 years of child-care career. Teachers' average recognition to the nutrition knowledge was 90.6%, increased significantly by the older they are, and decreased according to the accumulation of their career. The average accuracy of the nutrition knowledge was 79.7%, increased in proportion to the teachers' age. The marks of child-care teachers' dietary attitude were 41.3 points (possible score range 5-50) and 83%, older teachers tended to have more desirable dietary attitude. As indicated by the increment of child-care career, the score of emotional attitude tended to be increased but which of cognitive and behavioral attitude showed a declining tendency. Nutrition information which child-care teachers were mainly interested in were correct selection of food (58.1%), obesity and weight management (52.7%), and nutrient content of food (44.9%). Nutrition education contents which child-care teachers needed were 'nutritious food and menu for child' (72.2%), 'health management of child' (69.2%) and meal management of child (40.2%). Nutrition education methods, which child-care teachers considered as of desirable ones, were cooking class of small scale (31.8%), visiting class at child-care center (26.5%). In consequence, the nutrition knowledge and dietary attitude of child-care teachers were not good and showed different issues by age and career duration. Therefore, it is requisite to intensify nutrition management courses in child-care teachers' qualification and in-service education courses which has actual necessity and suitability based on teachers' age, career, and the type of child-care center, and to disseminate these through public health centers and child-care & education information centers to pursue the efficient balance of nutrition education programs.

• Journal of KIISE:Software and Applications
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• v.31 no.9
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• pp.1233-1245
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• 2004

Though biometrics to authenticate a person is a good tool in terms of security and convenience, typical authentication algorithms using biometrics may not be executed on resource-constrained devices such as smart cards. Thus, to execute biometric processing on resource-constrained devices, it is desirable to develop lightweight authentication algorithm that requires only small amount of memory and computation. Also, among biological features, face is one of the most acceptable biometrics, because humans use it in their visual interactions and acquiring face images is non-intrusive. We present a new face authentication algorithm in this paper. Our achievement is two-fold. One is to present a face authentication algorithm with low memory requirement, which uses support vector machines (SVM) with the feature set extracted by genetic algorithms (GA). The other contribution is to suggest a method to reduce further, if needed, the amount of memory required in the authentication at the expense of verification rate by changing a controllable system parameter for a feature set size. Given a pre-defined amount of memory, this capability is quite effective to mount our algorithm on memory-constrained devices. The experimental results on various databases show that our face authentication algorithm with SVM whose input vectors consist of discriminating features extracted by GA has much better performance than the algorithm without feature selection process by GA has, in terms of accuracy and memory requirement. Experiment also shows that the number of the feature ttl be selected is controllable by a system parameter.

• Journal of the Korean Society of Hazard Mitigation
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• v.5 no.2 s.17
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• pp.9-16
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• 2005

This paper presents the use of an Artificial Neural Network (ANN) as a viable means of forecasting Inundation Damage Area (IDA) in many watersheds. In order to develop the forecasting model with various environmental factors, we selected 108 watershed areas in South Korea and collected 49 damage data sets from 1990 to 2000, of which each set is composed of 27 parameters including the IDA, rainfall amount, and land use. After successful training processes of the ANN, a good agreement (R=0.92) is obtained (under present conditions) between the measured values of the IDA and those predicted by the developed ANN using the remaining 26 data sets as input parameters. The results indicate that the inundation damage is affected by not only meteorological information such as the rainfall amount, but also various environmental characteristics of the watersheds. So, the ANN proves its present ability to predict the IDA caused by an event of complex factors in a specific watershed area using accumulated temporal-spatial information, and it also shows a potential capability to handle complex non-linear dynamic phenomena of environmental changes. In this light, the ANN can be further harnessed to estimate the importance of certain input parameters to an output (e.g., the IDA in this study), quantify the significance of parameters involved in pre-existing models, and contribute to the presumption, selection, and calibration of input parameters of conventional models.

• Journal of the Korean Society of Marine Environment & Safety
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• v.24 no.1
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• pp.36-42
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• 2018

This paper considers the Marine Traffic Risk Assessment for fixed and moving targets, which threaten officers during a voyage. The Collision Risk Assessment Formula was calculated based on a dynamic ship domain considering the length, speed and maneuvering capability of a vessel. In particular, the Navigation Risk Assessment Model that is used to quantitatively index the effect of a ship's size, speed, etc. has been reviewed and improved using a hybrid combination of a vessel's dynamic area and the Collision Risk Assessment Formula. Accordingly, a new type of Marine Traffic Risk Assessment Model has been suggested giving consideration to the Speed Length Ratio, which was not sufficiently reflected in the existing Risk Assessment Model. The larger the Speed Length Ratio (dimensionless speed), the higher the CJ value. That is, the CJ value is presented well by the Speed Length Ratio. When the Speed Length Ratio is large, states ranging from [Caution], [Warning], [Dangerous] or [Very Dangerous] are presented from a greater distance than when the Speed Length Ratio is small. The results of this study, can be used for route and port development, including dangerous route avoidance, optimum route planning, breakwater width, bridge span, etc. as well as the development of costal navigation safety charts. This research is also applicable for the selection of optimum ship routing and the prevention of collisions for smart ships such as autonomous vessels.

• Journal of Korea Technology Innovation Society
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• v.15 no.3
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• pp.649-674
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• 2012

The purpose of this study is to investigate the effects of public R&D subsidies on private R&D. We have analyzed rationales for the public R&D subsidy from different perspectives. On the basis of literature review, a two step research model is constructed: participation phase (when firms benefit from public subsidies) and decision phase (when firms make decision on additional R&D investments). Using propensity score matching(PSM) method, we compare the potential outcome of the treated group to a matched controlled group of non-subsidized firms. The data used in this paper was collected from various sources. The Korean Innovation Survey 2008(manufacturing sector) is a main source of data. Financial data such as revenue, asset and capital stock, and number of employees were supplemented from the Nice Information Service KIS Value database. The R&D survey, conducted by MEST(Ministry of Education, Science and Technology) each year, was also used for the R&D expenditures of the manufacturing firms. This study comes up with the following empirical results. First, a firm's innovation capability, financial constraints, and sector appear to influence the selection of firms who were benefited from government's financial supports for R&D. Second, empirical results show that public R&D funding complements private investment on average and appear to have perpetual effects on the following year. Finally, sectoral difference in the effect of public subsidies on firms' R&D investment was confirmed. In addition, SMEs show more positive effects than large firms.

• Korean Journal of Poultry Science
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• v.32 no.2
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• pp.113-123
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• 2005

Avian influenza (AI) virus (AIV) is distributed worldwide and it has been isolated from various species of wild and domestic birds. AI transfers with high speed and shows diverse pathogenicity syndroms. In Korea, several low Pathogenic AIV, H9N2, have been isolated from the commercial farms with severe decrease of egg production and mortality resulted in severe economic loss since 1996. Therefore, it has been requested to develop AI vaccines to prevent clinical signs and economic losses from the field infection of AIV. To develop a killed vaccine that efficiently prevents low pathogenic AIV (H9N2), evaluation on the pathogenicity and selection of an inactivator for H9N2 is taking place and is being tested safety and immunogenicity of vaccine produced. Based on the pathogenicity test and viral reisolation test, the ADL0401 isolate is the characteristic low pathogenic AIVs and has fairly similar biologic functions compared with MS96 which is the official low pathogenic AIV (H9N2) and one of the predominant AIV isolated from poultry farms in Korea. In antigenicity tests, the ADL0401 and MS96 virus have no significant antigenic difference. In inactivation tests, the ADL0401 isolates can be easily inactivated with $0.1\%$ Formalin at $37^{\circ}C$ within 1 hour with a little decrease of HA titer. The vaccine developed in the present report has no harmful effect on bird and forms good immune capability. Therefore, the isolates, ADL0401 can be used for a killed vaccine which can reduce the clinical signs and viral shedding in the birds infected with H9N2 low pathogenic AIVs.

• Journal of Life Science
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• v.14 no.5
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• pp.821-828
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• 2004

The increasing apparent photosynthetic rate per leaf area may improve seed yield in soybean. Leaf area, length and width are related to the photosynthetic capability of the plant. In this study, two populations derived from the cross of Keunolkong, Shinpaldalkong and Iksanl0 were evaluated with simple sequence repeat (SSR) markers to identify length, width and length/width ratio of leaf. Leaf length/width ratio were significantly negative correlation with leaf width in K/S and K/I populations. In the K/S population, two minor QTLs for leaf length (LL) were found on LG Dlb+W and 1. Two QTLs on LG J and L were related to LL in K/I population. Two and three minor QTLs were identified in leaf width with total phenotypic variation of 13% and 18.04 in K/S and K/I populations, respectively. The leaf length/width ratio, two QTLs on LG I and L, and three QTLs on LG Cl, E and L were related to K/S and K/I populations, respectively. Thus it is assumed that the leaf traits are very much dependent on the genotype used and different breeding approach should be considered for the selection of favorite leaf traits in soybean breeding programs.

• Journal of Korean Home Economics Education Association
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• v.28 no.2
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• pp.79-93
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• 2016

This study analyzes the middle school Home Economics textbook's 'Adolescence consumption life' unit using framework of Education for Sustainable Development(ESD) to examine correlation with the current Home Economics ESD, and aims to provide the base data for the composition of the educational curriculum that can help the students cultivate the capability for leading sustainable life from the future oriented perspective and for the selection of educational contents. This study analyzes the 'Adolescence consumption life' unit in the Home Economics textbook of the 12 type revised curriculum of 2009. As for the analysis method, Romey's content analysis method is used to carry out in-depth analysis of the ESD content elements. The analysis demonstrates the following. First, content elements extracted commonly from the 'Adolescence consumption life' unit are analyzed with the ESD's criteria of analysis (environment, economic and social domain), which led to the composition with the sub content elements following 23 related topics. Secondly, content elements of 12 types of Home Economics textbook's 'Adolescence consumption life' unit used in middle school are analyzed in three domains, which led to social domain (68%), economic domain (58%) and environmental domain (40%) in the order mentioned. This focused on the role of the Adolescent-consumer on the active consumer that is presented in the 2009 revised educational curriculum, and it is possible to see that this is very closely related to the right to organize and to be active in terms of the human safety, consumption culture, social interest and group.

• Journal of Distribution Science
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• v.16 no.7
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• pp.67-75
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• 2018

Purpose - In the 21st century, as information technology advances alongside the emergence of the 4th generation, industrial age, industrial environment has become individualized and customized. It is important to hire good quality employees for good service in the industry. The e-learning market is growing every year. Although e-learning companies are finding better quality employees in e-learning, it is not easy to find it. Companies also spend a lot of time and cost to find employee. On the employees side, they want to get a job freely when they want, but they cannot find their job easily. Furthermore, the labor market environment is changing fast. In the 4th generation, industrial age, employers require to find manpower whenever they need and want at little cost. So of their own accord, we have considered the necessity of management of human resources for employees and employers in e-learning. The purpose of this study is to propose a human cloud platform framework for enabling an efficient management of human resources in e-learning industry. Research design, data, and methodology - To pinpoint the items of a human cloud platform framework, the study was initiated according to the following process. First, items of competency relating to e-learning instructional designer was analyzed. Second, based on the items of information from this analysis, selection and validity verification took place with 5 e-learning specialists group. Third, the opinion of experts who were in charge of hiring in e-learning companies were collated with the questionnaire. Lastly, the human cloud platform framework was proposed based on opinion results. Results - The framework was comprised of 7 domains and 27 items in order to develop the human cloud platform for e-learning instructional designer. The analysis results showed that the most highly considered item were 'skill (4.60)' that employee already have the capability. Following this (in order) were 'project type (4.56)', 'work competency (4.56)', and 'strength area of instructional design (4.52)'. Conclusions - The 27 items in the human cloud platform framework were suggested in this study. Following this, we can consider to develop the human cloud platform for finding a job and hiring e-learning instructional designer easily. For successful platform operation, we need to consider reliability between employer and employee. In addition, we need quality assurance system based on operation has public confidence.