• Journal of the Korea Academia-Industrial cooperation Society
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• v.15 no.2
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• pp.883-890
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• 2014

The purpose of thesis was to examine an effect of physical activities with peer competence for children. In this study, 44 children in the age of 5 in 2nd Kindergarten located in K city, Chungnam. The subjects were 22 children(11 boys and 10 girls) in A Kindergarten are selected in order to conduct physical activities based on cooperation and 22 children(10 boys and 11 girls) in B Kindergarten as a comparison group to implement individual-oriented physical activities. We applied the program in the total of 20 times at 30 minutes each time, and 2 times in each session for a total of 10 weeks. For peer competence tests, a measure for peer competence is used, which is developed for children. The results are as followed. firstly, the physical activity programs developed in the study on peer competence of five-year old children. secondly, Secondly, the activities improved every sub-factors of the peer competence such as sociability, pro-sociability, proactive. In addition, the study suggests a theoretical basis that can be used as practical measures of physical activity in the children. In addition, the physical activities in peer competence could build good inter-personal relationship through active interaction among the infants and lead positive impact on the development of their sociality.

• The KIPS Transactions:PartC
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• v.13C no.4 s.107
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• pp.427-434
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• 2006

Broadband Convergence Network(BcN) is a critical infrastructure to provide wired-and-wireless high-quality multimedia services by converging communication and broadcasting systems, However, there exist possible danger to spread the damage of an intrusion incident within an individual network to the whole network due to the convergence and newly generated threats according to the advent of various services roaming vertically and horizontally. In order to cope with these new threats, we need to analyze the vulnerabilities of BcN in a system architecture aspect and classify them in a systematic way and to make the results to be utilized in preparing proper countermeasures, In this paper, we propose a new classification of vulnerabilities which has been extended from the ITU-T recommendation X.805, which defines the security related architectural elements. This new classification includes system elements to be protected for each service, possible attack strategies, resulting damage and its criticalness, and effective countermeasures. The new classification method is compared with the existing methods of CVE(Common Vulnerabilities and Exposures) and CERT/CC(Computer Emergency Response Team/Coordination Center), and the result of an application to one of typical services, VoIP(Voice over IP) and the development of vulnerability database and its management software tool are presented in the paper. The consequence of the research presented in the paper is expected to contribute to the integration of security knowledge and to the identification of newly required security techniques.

• Korean Security Journal
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• no.27
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• pp.81-105
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• 2011

Lately, with the increase of the private security industry, individual quality improvement of the private security guards is rising. Especially, in accordance with competence of the private security guards, in the base of individual technical or knowledge, the confidence of own ability is essential for the improvement of the private security industry. In accordance with the private security guards, the study of their competence is rare. But through the study of teenagers or members of the public organization, we can know the influence of variables competence. The purpose of this study is to show how the self-esteem, need for Achievement, relation with co-worker and supervisor, and leadership effect on competence. Consequently this study will offer effective ways to develop the private security guards competence. We can show that self-esteem effects competence of the private security guards between the need for achievement and self-esteem which are adjusted as the individual characteristic. Namely, the higher the self-esteem of the private security guards is, the higher competence is. The study shows that the relation with co-worker and supervisor of the private security guards doesn't effect competence. Unlike the previous studies, this study proves that contingent reward has a positive effect on the Private Security Guards competence in the transactional leadership. That is, the higher the contingent reward of leader is, the higher the level of competence of the Private Security Guards is. Lastly, We can know individualized consideration effect the competence of the private security guards in the transformational leadership.

• Journal of Korean Society of Transportation
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• v.27 no.5
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• pp.97-111
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• 2009

Image-based traffic information collection systems have entered widespread adoption and use in many countries since these systems are not only capable of replacing existing loop-based detectors which have limitations in management and administration, but are also capable of providing and managing a wide variety of traffic related information. In addition, these systems are expanding rapidly in terms of purpose and scope of use. Currently, the utilization of image processing technology in the field of traffic accident management is limited to installing surveillance cameras on locations where traffic accidents are expected to occur and digitalizing of recorded data. Accurately recording the sequence of situations around a traffic accident in a signal intersection and then objectively and clearly analyzing how such accident occurred is more urgent and important than anything else in resolving a traffic accident. Therefore, in this research, we intend to present a technology capable of overcoming problems in which advanced existing technologies exhibited limitations in handling real-time due to large data capacity such as object separation of vehicles and tracking, which pose difficulties due to environmental diversities and changes at a signal intersection with complex traffic situations, as pointed out by many past researches while presenting and implementing an active and environmentally adaptive methodology capable of effectively reducing false detection situations which frequently occur even with the Gaussian complex model analytical method which has been considered the best among well-known environmental obstacle reduction methods. To prove that the technology developed by this research has performance advantage over existing automatic traffic accident recording systems, a test was performed by entering image data from an actually operating crossroad online in real-time. The test results were compared with the performance of other existing technologies.

• Journal of the Korean Society for Library and Information Science
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• v.49 no.4
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• pp.355-378
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• 2015

In recent years, countries such as USA, United Kingdom and Australia have begun to implement national policies in order to systematically manage and share research data produced through publicly funded research. However, Korea as of yet does not have a coordinated research data policy. The lack of infrastructure that supports the sharing and preserving research data results in the poor management and loss of valuable data produced from significant national R&D investments. The need for research data collection, management and sharing goes beyond the outcome assessment of national research: it facilitates the diffusion of research impact and economic development. There is a growing recognition that data sharing is an essential element of research ethics. This research investigates the relevant research data policies and methods of governance at the national level using a case study analysis. United Kingdom was selected as a case study target as it shows a wide variety of policy examples and instruments. In particular, this research focuses on the UK's national legal framework for research data sharing, analyzes the RCUK (Research Councils UK)'s data policies, activities at the seven research councils under RCUK as well as several supporting institutions. Based on the analyses, this research offers a national roadmap for better managing and sharing of research data in Korea.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.10
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• pp.261-270
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• 2016

This study attempted to survey nursing students' motives for choosing nursing as their major, and to examine how such motives affect their satisfaction with their major, campus-life satisfaction, and self-directed learning ability. This study was conducted as a descriptive survey. Data were collected using a self-report questionnaire during the period from the 1st to 15th of April, 2015, and the questionnaires from 195 nursing students were used in the analysis using Fisher's exact test, t-test, one way ANOVA, Mann Whitney test, and ANCOVA. Only 41.5% of the nursing students chose nursing as their major because of their aptitude and interest. The motive for the selection of the major was found to have a significant effect on their satisfaction with the major (p<.001), campus-life satisfaction (p=.008), and self-directed learning ability (p=.001). Middle and high school students should be provided with various types of information on nursing, so that they can have the opportunity to choose nursing based on their aptitude and interest before entering university. Once they start university, nursing students' adjustment to campus-life and learning ability should be enhanced through various extracurricular activity programs in order to stimulate their interest in the major.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.35 no.8C
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• pp.651-660
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• 2010

In this paper, we implement an efficient histogram-based prefiltering to compensate the illumination mismatches in regions between neighboring views. In multi-view video, such illumination disharmony can primarily occur on account of different camera location and orientation and an imperfect camera calibration. This discrepancy can cause the performance decrease of multi-view video coding(MVC) algorithm. A histogram matching algorithm can be exploited to make up for these differences in a prefiltering step. Once all camera frames of a multi-view sequence are adjusted to a predefined reference through the histogram matching, the coding efficiency of MVC is improved. However general frames of multi-view video sequence are composed of several regions with different color composition and their histogram distribution which are mutually independent of each other. In addition, the location and depth of these objects from sequeuces captured from different cameras can be different with different frames. Thus we propose a new algorithm which classify a image into several subpartitions by its depth information first and then histogram matching is performed for each region individually. Experimental results show that the compression ratio for the proposed algorithm is improved comparing with the conventional image-based algorithms.

• Korean Journal of Construction Engineering and Management
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• v.20 no.6
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• pp.107-116
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• 2019

Korean construction engineering firms want to pave the way for expansion of overseas markets through the World Bank's Official Development Assistance (ODA) projects as a way to improve their overseas project performance. However, since the World Bank project competes with global companies for limited projects, building partnerships with suitable business partners is essential to gain an upper hand in bidding competition and meet the institutional conditions of the recipient country. In this regard, many network studies have been conducted in the past through Social Network Analysis (SNA), but few have been analyzed based on the process of changes in the network. So, This study collected winning data from the three Southeast Asian countries that ended after the World Bank's ODA project performed smoothly, and established a learning-based link prediction model that reflected the dynamic nature of the network. As a result, the 11 main variables acting on building a cooperative relationship between winning companies were derived and the effect of each variables on the probability value of cooperation between individual links was identified.

• Journal of Korea Water Resources Association
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• v.54 no.spc1
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• pp.1083-1093
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• 2021

It is an essential to predict water usage for establishing an optimal supply operation plan and reducing power consumption. However, the water usage by consumer has a non-linear characteristics due to various factors such as user type, usage pattern, and weather condition. Therefore, in order to predict the water consumption, we proposed the methodology linking various techniques that can consider non-linear characteristics of water use and we called it as KWD framework. Say, K-means (K) cluster analysis was performed to classify similar patterns according to usage of each individual consumer; then Wavelet (W) transform was applied to derive main periodic pattern of the usage by removing noise components; also, Deep (D) learning algorithm was used for trying to do learning of non-linear characteristics of water usage. The performance of a proposed framework or model was analyzed by comparing with the ARMA model, which is a linear time series model. As a result, the proposed model showed the correlation of 92% and ARMA model showed about 39%. Therefore, we had known that the performance of the proposed model was better than a linear time series model and KWD framework could be used for other nonlinear time series which has similar pattern with water usage. Therefore, if the KWD framework is used, it will be possible to accurately predict water usage and establish an optimal supply plan every the various event.

• Journal of Science Education
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• v.45 no.2
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• pp.156-171
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• 2021

This study aims at investigating the characteristics of trends of future education over time though the literature review and examining the accuracy of the framework for forecasting future education proposed by the previous studies by comparing the outcomes between the literature review and media articles. Thus, this study collects the articles dealing with future education searched from the Web of Science and categorized them into four periods during the new millennium. The new articles from media were selected to find out the present of education so that we can figure out the appropriateness of the proposed framework to predict the future of education. Research findings reveal that gradual tendencies of topics could not be found except teacher education and they are diverse from characteristics of agents (students and teachers) to the curriculum and pedagogical strategies. On the other hand, the results of analysis on the media articles focuses more on the projects launched by the government and the immediate responses to the COVID-19, as well as educational technologies related to big data and artificial intelligence. It is surprising that only a few key words are occupied in the latest articles from the literature review and many of them have not been discussed before. This indicates that the predictive framework is not effective to establish the long-term plan for education due to the uncertainty of educational environment, and thus this study will give some implications for developing the model to forecast the future of education.