• Convergence Security Journal
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• v.18 no.1
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• pp.33-42
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• 2018

CFD analysis is an analytical technique that applies a computer to the design and development of products across the entire industry for heat or fluid flow. This technology is used to shorten the development period and reduce costs through computerized simulation. However, the software used for CFD analysis is now required to use expensive foreign software. The Opensource CFD analysis software used in the proposed system has reliability of commercial CFD analysis software and has various user groups. However, for users who have expert knowledge, Opensource CFD software which supports only text interface environment, We have developed an environment that enables the construction of a CFD analysis environment for beginners as well as professionals. In addition, the proposed system supports the pre-processing (design and meshing) environment for CFD analysis and the environment for post-processing (result analysis & visualization), enabling the integrated CFD analysis process in one platform.

• Convergence Security Journal
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• v.18 no.2
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• pp.77-88
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• 2018

The purposes of this paper are to research the military utilization of weather modification techniques and to induce their research priority when considering the Korean Peninsular environment and technical level. To achieve these goals, the advantages and disadvantages of weather modification technologies have been discussed, and the evaluation index evaluation was derived through the Delphi method, and the weight of the evaluation index and the final research priority were induced through analytic hierarchical process. Analysis shows that the ionospheric modulation technology has the highest priority in terms of effectiveness as a weapon system and compatibility in the Korean Peninsula environment. It is expected that Korean ionosphere modification can disturb C4ISR function of the enemy and guarantee ours reliably when operating PGM, military satellite, surveillance & reconnaissance equipments, etc. Other weather modification technologies except for ionosphere modification should be developed gradually in that potential threat can be expanded to neighboring countries after the Unification of the Korea.

• The Korean Journal of Archival Studies
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• no.34
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• pp.107-163
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• 2012

The share of the internet has grown significantly in terms of usage and level of influence. Among the internet media, OhmyNews is considered a alternative media representing Korea's independent internet news, and a typical example displaying characteristics of the internet news. The processing step can be divided as five stage, with recorded information and applicable technical element extractable from each stage. In this thesis paper, we have analyzed domestic and overseas metadata standard examples to devise metadata design plans. Items to be focused when redesigning metadata based on domestic and foreign case studies are as follows: First, user access should be convenient; second, connection with related information should be considered; third, accumulation of production, management, usage, storage, and action history should be considered; and fourth, the design should allow higher utilization of contents. In depth researches over internet media are already being carried out in external academic disciplines including the media information studies, information and communication studies, and communications studies. We expect that it will also be necessary to consider such researches over the internet media for mass media record management research going forward.

• Journal of the Korean Society for Aeronautical & Space Sciences
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• v.47 no.6
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• pp.460-467
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• 2019

This paper proposes a multi-objective optimization (MOO) framework for conceptual design of a surface-to-surface missile system. It can generate the set of Pareto optimal system design, which can be used for system trade-off study in a very early stage of the research and development process. The proposed framework consists of four functional modules (an environmental setting module, a variable setting module, a multidisciplinary analysis module and an optimization module) to make the model easy to change, and the concept design process using the framework was able to achieve the purpose of reviewing various designs in the early stage of development. A case study demonstrating the effectiveness of the framework has presented applicability to the system design, and the proposed framework has contributed to presenting a design environment that can ensure reliability and reduce computational time in the conceptual design stage.

• Journal of Convergence for Information Technology
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• v.9 no.6
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• pp.175-182
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• 2019

This study was conducted to test the assessment validity and examine the cut-off scores for driving risk as a part of the Self-report Assessment Forecasting Elderly Driving Risk (SAFE-DR) development project. The 132 senior drivers were categorized as either risky of 58 or safe of 74 drivers through the Drivers 65 Plus. Based on this initial assessment, we analyzed the risk prediction cut-offs. Furthermore, we tested the construct, content, and predictive validity. The cut-off score for the prediction of driving risk was found to be 74.5 points. The positive predictive value was 88.6%, and the negative predictive value was 86.3% about the cut-off score, signifying an excellent level of discrimination. Convergent validity, nomological validity, and content validity were found to be appropriate. Therefore, this study confirms that SAFE-DR is an appropriate assessment that can be used to screen dangerous elderly drivers.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.12
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• pp.416-431
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• 2018

The purpose of this study was to analyze in-depth the nurses' experience of hospital work and the factors affecting career interruption of nurses. For this purpose, 20 inactive nurses aged 26-55 participated in interviews about their experience as nurses, characteristics of nursing work, and reasons for retirement, and applied the analysis method of Colaizzi among phenomenological research methods. The analysis resulted in 104 significant statements, 17 formulated meanings, 6 clusters of theme, and 2 categories. The two categories are nursing work characteristics and work environment characteristics. In the characteristics of nursing work, there are four clusters of theme of 'time pressure', 'lack of autonomy', 'physical and emotional labor', 'low wage increase', and in the characteristics of nursing work environment, there are two clusters of theme of 'physical environment' and 'human environment'. Therefore, in order to improve the nurse career interruption, efforts should be made to alleviate excessive work intensity, raise the appropriate level of pay and provide a safe working environment.

• The Journal of the Korea Contents Association
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• v.19 no.5
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• pp.342-349
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• 2019

This study was purposed to study on employment preference and employment perception and job value of dental hygiene department graduating students. The subjects of the study were 111 graduating students on 4-year-course K-University, dental hygiene department at W-city in Gangwon-do. The questionnaire consisted of 30 questions about general characteristics, employment characteristics and job value. The data were analyzed using the frequency analysis, Mann-Whitney U-test or Kruskal-Wallis test, and the Pearson's correlation between the level of job recognition with IBM SPSS Statistics ver. 20.0. The significance level was 0.05. There were significant difference between major satisfaction, grade, number of certificate and job value(p<0.05). Each questions of job value showed a significant correlation(p<0.01). Although there are limited sample qroups, this study identified employment characteristics and job value of dental hygiene department graduating students on 4-year-course and could be used for future career and job guidance.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.5
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• pp.508-515
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• 2019

Although various quantitative indexes are used as criteria for deciding the success of software R & D projects, it is somewhat difficult to find which quantitative indexes are appropriate. In this paper, we propose a quantitative evaluation index generation process for software product development using ISO / IEC25023, which is used as a standard of software quality level, to provide criteria for quantitative evaluation index of software development. The proposed process consists of two stages. In the first step, quality characteristics and subcharacteristics of ISO / IEC25023 standard specification are derived and in the second stage, we derive an evaluation indicator guides that matches the quality characteristics and sub characteristics. The proposed quantitative evaluation index generation process is expected to be helpful for the selection of quantitative evaluation indexes according to the characteristics of software development projects.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.2
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• pp.151-159
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• 2019

As the era of big data, which is the foundation of the fourth industry, has come, most related industries are developing related solutions focusing on the technologies of data storage, statistical analysis and visualization. However, for the diffusion of bigdata technology, it is necessary to develop the prediction analysis technologies using artificial intelligence. But these advanced technologies are only possible by some experts now called data scientists. For big data-related industries to develop, a non-expert, called a citizen data scientist, should be able to easily access the big data analysis process at low cost because they have insight into their own data. In this paper, we propose a system for analyzing bigdata and building business models with the support of easy-to-use analysis system without knowledge of high-level data science. We also define the necessary components and environment for the prediction analysis system and present the overall service plan.

• Journal of The Korean Association of Information Education
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• v.25 no.5
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• pp.673-681
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• 2021

This study is a case study of artificial intelligence education subjects in the graduate school of education. The main educational contents consisted of understanding and practice of machine learning, data analysis, actual artificial intelligence using Entries, artificial intelligence and physical computing. As a result of the survey on the educational effect after the application of the curriculum, it was found that the students preferred the use of the Entry AI block and the use of the Blacksmith board as a physical computing tool as the priority applied to the elementary education field. In addition, the data analysis area is effective in linking math data and graph education. As a physical computing tool, Husky Lens is useful for scalability by using image processing functions for self-driving car maker education. Suggestions for desirable AI education include training courses by level and reinforcement of data collection and analysis education.