• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2006.11a
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• pp.295-300
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• 2006

In this research, risk factors which can raise project cost are identified in the initial stage and picked out through the decision maker's baseline. And also this probable risks are implemented to the project cash flow to estimate the contingency and to build a risk management system in the level of project. The risks that affect the projects profits were classified in two categories in the risk checklist. Firstly, financial risks derived from the external economic conditions for example exchange rate, escalation, interest rates etc. are analyzed through the stochastic methods, Monte-Carlo Simulation. Secondly, the project individual risks which are come from the project characteristics, for example country risk, clime, owner etc., are evaluated using the utility curve of the decision maker. Finally these risk analysis methods are used to forecast the actual project cash flow and final profit.

• Journal of KIISE:Computer Systems and Theory
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• v.27 no.4
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• pp.420-430
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• 2000

Several caching schemes for realtime multimedia systems have been proposed, but they focus only on increasing the hit ratio without providing any means to utilize the saved disk bandwidth due to cache hits. One of the most important metrics in multimedia systems is the number of clients that the systems can service simultaneously guaranteeing Quality of Service(QoS). Preemptive but Safe Interval Caching(PSIC) was proposed as a caching scheme which makes it possible to provide deterministic QoS.. However, it has no ability to adapt to the change of system environments since it has no mechanism to change the cache size. In this paper, we present a new caching scheme, Dynamic Interval Caching(DIC), which maximizes the performance, regardless of the change of system environments, providing hiccup-free service, by managing memory buffers dynamically. And it is demonstrated that DIC allocates buffer cache optimally, by comparing with PSIC through trace-driven simulations.

• Journal of the Korea Society for Simulation
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• v.20 no.1
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• pp.61-67
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• 2011

Smart TV System will lead to drastic change of communication and media industries as one of the emerging next generation network services. However, when the number of concurrent users increases rapidly, the issue of service quality degradation occurs because providing services to many users simultaneously stresses both the server and the network. The server limitation can be circumvented by deploying server clusters. but the network limitation is far less easy to cope with, due to the difficulty in determining the cause and location of congestion and in provisioning extra resources. In order to alleviate these problems, a number of schemes have been developed. Prior works mostly focus on reducing user-centric performance metrics of individual connection, such as the round-trip time(RTT), downloading time or packet loss rate, but tend to ignore the network loads caused by the concurrent connections or global network load balance. In this work, we make an in-depth investigation on the issue of user grouping for massive Smart TV services through simulations on actual Internet test-bed, PlanetLab.

• Journal of KIISE:Databases
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• v.32 no.2
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• pp.151-160
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• 2005

As web pages are created, destroyed, and updated frequently, web databases should be updated to keep up-to-date web pages. In order to keep web databases fresh effectively, we need to understand the change of real web pages. Previous researches on the change of the web pages have directed their efforts on the contents modification of web pages only, and have not taken into account the factors of creation and destruction of web pages In their research. This paper investigates the web page changes, which include contents modification, page creation, and page destruction. We introduce three metrics, namely DR (Download Rate), MR (Modification Rate), and CAV (Coefficient of Age Variation) to represent the change of the web pages. We have monitored three million web pages collected from the famous and random sites every other day for one hundred days. With the Download Rate and the Modification Rate, we learned that the download success and the modification depends on the past change of them, and proposes two estimation formulae that predict the download success and modification. With the Coefficient of Age Variation, we show how web pages do not change periodically.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.14 no.1
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• pp.169-175
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• 2013

According to the increase of the remarried family, education programs are needed to help the adaptation of them. The purpose of this study is to analyze remarriage preparations and to present considerations for the development of remarriage educational program in the future. Through analysis of total nine existing remarriage programs, there are needs to consider the following factors when developing remarriage programs. There is a need to be developed and implemented various programs to adequately support the remarried family. Also need to have a system that help adaption. As a result of research, future remarried program shall be as follows. First, the educational content consists of differency depending on the type of remarriage. Second, we should develop program avoiding the problem-oriented perspective, focus on the enhancements remarried families and address the adaptive factors. Third, psychological support counseling programs should be included. Remarriage Preparation measurement Scale is utilized and children is included in programs.

• Journal of the Korea Convergence Society
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• v.10 no.2
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• pp.269-276
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• 2019

The purpose of this study was to investigate the publication trends of children and adolescents' smoking-related researches published in Korean academic journals. Three hundred fifty papers published until 2018 were analyzed by focusing on the publication year, research participants, research themes and research methods. As a result, smoking-related research on children and adolescents increased sharply from 1995 to 2000, and the trend continued. The main research participants were general children and adolescents and the most frequently studied themes were 'Associated Factors,' 'Intervention,' 'Prevalence,' 'Prevention,' 'Characteristics,' 'Law and Policies,' 'Scales,' 'Review and Theories' respectively. The most frequently used research method was the quantitative method. Moreover, the most common data gathering method was using questionnaires, and the number of papers which used panel data was gradually increasing. Future studies were suggested to explore a broader range of themes, and a balanced research approach was also recommended using both qualitative and mixed methods.

• Journal of Digital Convergence
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• v.16 no.12
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• pp.51-60
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• 2018

This study would like to know the relationship among interpersonal competency based self-understanding and acceptance of others, self leadership, stress-coping and military adjustment. For this, 1289 military trainee in the army training station were surveyed. In results, The first, the acceptance of others did not have a significant effect on the perform-will, but had a significant effect on the job satisfaction and self leadership. The self-understanding had a significant effect on perform-will, job satisfaction and self leadership. The second, self leadership mediated between interpersonal competency and military adjustment. The third, in case of the perform-will, the moderating effect was showed in self leadership when the stress coping level was high. But in case of the job satisfaction, it was showed in both high group and low. Implications of this study is that the interpersonal competency based self-understanding and acceptance of others, self leadership and stress coping can be the positive potential variables on the military adjustment.

• (The) Korean Journal of Advertising
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• v.28 no.6
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• pp.7-34
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• 2017

The debate surrounding advertising effectiveness is not to be overstated as a major source of advertising research. However, there is still a lack of discussion on the model for measuring the effects of government and public service advertising. This study focuses on this point and develops an index model that can evaluate government advertising. For this purpose, we conducted a survey of 800 respondents in 7 major cities. Based on the creativity evaluation factors (originality, clarity, and appropriateness) of government advertising and the evaluation factors (interest, avoidance, and relevance) of policy contents, a causal model that affects the cognition, attitude, and behavioral responses of the audience was set up. As a result of analysis, originality, clarity, interest, and relevance except for appropriateness and avoidance were meaningful variables for creating government advertising effect such as policy understanding, audience attitude, word of mouth intention of policy. In addition, policy understanding and audience attitude were the main mediating variable influencing the word of mouth intention of policy. Based on research results, this paper discussed the direction for creating effective government and public service advertising in the future.

• The Journal of the Korea Contents Association
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• v.22 no.5
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• pp.48-56
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• 2022

The importance of data analysis in baseball has been increasing after the success of MLB's Oakland which applied Billy Beane's money ball theory, and the 2020 KBO winner NC Dinos. Various studies using data in baseball has been conducted not only in the United States but also in Korea, In particular, the models using deep learning and machine learning has been suggested. However, in the previous studies using deep learning and machine learning, the focus is only on predicting the win or loss of the game, and there is a limitation in that it is difficult to interpret the results of which factors have an important influence on the game. In this paper, to investigate which factors is important by position, the prediction model for the Golden Glove award which is given for the best player by position is developed. To develop the prediction model, XGBoost which is one of boosting method is used, which also provide the feature importance which can be used to interpret the factors for prediction results. From the analysis, the important factors by position are identified.

• Journal of the Korean Society for information Management
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• v.40 no.4
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• pp.375-401
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• 2023

A school library is where students develop their skills to cope with future uncertainty and can utilize various information materials to build their capability and response abilities to changes. Teachers' perception is crucial as their guidance is essential for the student to use the school library. Most studies, however, focused on quantitative measurement of the importance of the teachers' perception as an external environment, and there is a lack of specific categorization of different types of perceptions on the role of the school library. This study aims to examine types of perceptions about the school library among elementary school teachers. To do so, this study used Latent Profile Analysis (LPA), a person-centered approach, to identify teachers' complex perceptions about the role and importance of the school library, which were difficult to review in previous studies, and the teachers' most representative types of perceptions. Based on the findings from the above, this study is meaningful in proposing customized measures to operate and promote the school library depending on teachers' perceptions.