• Journal of Information Technology Services
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• v.20 no.1
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• pp.67-79
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• 2021

The advent of the 4th Industrial Revolution is also causing many changes in defense operations. Defense reform and the fourth industrial revolution promoted smart defense innovation, and attempts are being made to incorporate cutting-edge science and technology into various fields such as weapons systems and defense operations. Education and training is one of the areas in which information and intelligence are urgently needed in the spirit of defense operations. Due to the nature of defense education and training, which aims to fight against the enemy, there is no emphasis on psychological training in the field rather than informatization, but in developed countries with various experiences of modern warfare, investment and vitalization of education and training are vital. Through this, efforts are being made to foster soldiers with problem-solving skills in uncertain battlefields. The informatization and intelligence of defense education and training is no longer a matter that can be delayed, and the innovation of education and training using cutting-edge science and technology can be said to be an age-old task to improve the results of education and training in the fourth industrial revolution. The purpose of this is because the application of related technologies is not the goal itself as the 4th Industrial Revolution arrives, but it has been made possible through the rapid advancement of science and technology that has made it difficult to realize education and training, even though it has long been desired. Ultimately, education and training data will be integrated and artificial intelligence-based intelligent learning systems will maximize the performance of education and training, thereby improving the combat readiness.

• Journal of Applied Reliability
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• v.8 no.2
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• pp.61-73
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• 2008

Reliability program in one of the most efficient tools for cost saving during the acquisition process including alternatives for design configurations, operation concepts, maintenance concepts. Industrial reliability centers have already equipped with infrastructure such as reliability standards, reliability apparatus. In this study revitalizing plans are proposed to apply industrial reliability technology to national defense technology.

• Journal of National Security and Military Science
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• s.5
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• pp.241-280
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• 2007

This study examines the relationship of the industry-specific factors that effect innovation of manufacturing technology and the market share within the defense industry. Since the establishment of the basic defense industry framework in 1973, there were numerous interactions of the industry-specific factors of the defense industry structure with the technological innovation and market organization of the defense industry. During last three decades, the domestic defense industry has achieved the considerable level but the framework of the basic system has not developed much in areas of the military science and the defense manufacturing technology. Industry-specific factors were formed in the process and appeared in a variety of behavioral characteristics as subsystems. Currently, there IS a growing trend where the management of defense industry is gradually deteriorating due to limitation of the domestic industry-specific factor (e.g. defense technologies, amount of demand, etc.). If there is a prominent imbalance of the industry-specific factors. it can trigger the potential problem of conflict, lack of cooperation and control, slowing the growth of the manufacturing technology thereby diminishing the market and deteriorating the defense supply/demand relationship. In a research conducted by Joe S. Bain, Bain analyzed the relationship of the traditional industrial organization where industry-specific factor(S) not only impacts the conductor(C). And, conductor(C) influences the shaping of the performance(P) of relationship of the traditional industrial organization. Consequently, the researcher has identified the demand monopoly, barriers to entry, and market competition with comparison of defense industry issues. These defense issues were three industry-specific factors identified, which are 1) The demand monopoly and The entry barriers to new market competition, 2) the industrial technical factor to a production technical competitiveness and a market sharing competitiveness, 3) the probability factor to revolution for military affairs(RMA) and a R&D production. According to baseline with these factors, the following research model is established from the special companies group(Group A), the systematization companies group(Group B), and the general companies group(Group 0. The hypothesis is that if there are more industry-specific factors, then there will be more relationships of defense industry relation statutes. This research is an empirical study on the relationship that the industry specific factors effects the innovation of manufacturing technology and the shaping of the market in the defense industry. Moreover, the existing models to evaluate the industry specific factors of the defense industry IS much to be desired with the controlled statistical analysis of the result. It is vital to study on current situation with suggesting alternative strategy to the efficient strategy. The descriptive analysis approach analysis is conducted with SPSSWIN to conduct reliability test, factor analysis, correlation analysis, cross-tabulation analysis, one-way ANOVA, and multiple regression analysis. However, there were some limitations of the survey such as the rigidity of concept about the technical factors and various market management factors. The wishes is that the decision-maker could be utilized these defence industrial factors to formulate efficient defence policy and strategy in the future.

• Journal of Korean Institute of Industrial Engineers
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• v.43 no.2
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• pp.120-126
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• 2017

This paper has proposed the development direction and R&D analysis approach that the diversity of defense R&D process and product should be mainly under consideration. It has shown that there is a fair possibility of the various quality assess to meet the R&D requirements in defense-based. Thus, the analysis on multiple quality elements is carried out with defense R&D characteristics. Especially, a quality management master planning based on the quality model of establishing defense R&D policy has proposed, identifying relevant quality characteristics on the R&D of weapon system and the R&D of core technology. That is, this paper is not only interested in determining an appropriate model for improving the quality of a R&D weapon system but also argued efforts in order to reap the best possible outcome and process on both the R&D of weapon system and quality of the R&D of core technology including present R&D activities.

• IE interfaces
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• v.23 no.1
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• pp.78-88
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• 2010

In this paper we develop a model for the performance evaluation of defense R&D test development projects based on analytic hierarchy process. First, evaluation indicators are collected through the related literature survey and a delphi inquiry method. Second, stepwise multiple linear regression is used for developing a hierarchical structure for analytic hierarchy process in the evaluation model, which can make the selected evaluation indicators of the hierarchical structure independent. Also we verify the effectiveness of proposed indicators of the performance evaluation by comparing with the existing evaluation indicators. The developed indicators for the performance evaluation is more reasonable and practical than the previous indicators on defense R&D test development projects.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.35 no.3
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• pp.217-224
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• 2012

This study is to review strategic priority for Defense Quality Management Factors of the Defense Agency for Technology and Quality. It is necessary to decide which quality factors are more important and which quality factors are relatively less important. In this study, Analytic Hierarchy Process (AHP) method was used in assigning the factors' weights. The survey of fifty one members participated in Defense R&D Programs showed that the Consistency Ratio was under 0.1 in evaluation items and factors.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.409-416
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• 2020

Artificial intelligence, which is in the spotlight as the core driving force of the 4th industrial revolution, is expanding its scope to various industrial fields such as smart factories and autonomous driving with the development of high-performance hardware, big data, data processing technology, learning methods and algorithms. In the field of defense, as the security environment has changed due to decreasing defense budget, reducing military service resources, and universalizing unmanned combat systems, advanced countries are also conducting technical and policy research to incorporate artificial intelligence into their work by including recognition systems, decision support, simplification of the work processes, and efficient resource utilization. For this reason, the importance of technology-driven planning and investigation is also increasing to discover and research potential defense future technologies. In this study, based on the research data that was collected to derive future defense technologies, we analyzed the characteristic evaluation indicators for future technologies in the field of artificial intelligence and conducted empirical studies. The study results confirmed that in the future technologies of the defense AI field, the applicability of the weapon system and the economic ripple effect will show a significant relationship with the prospect.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.5
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• pp.249-256
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• 2020

It is expected that the technology of the fourth industrial revolution will increase the productivity and efficiency of the industrial world. Many countries are providing political and financial supports to make big advances in the technology. Especially, developed countries, such as USA, Germany and Japan, are trying to use the technology for manufacturing and finance industry, and to increase the opportunity of test-bed environment. However, many restrictions hinder adopting non-governmental technology in defense due to various limitations such as national security and protection of technology. In this study, we propose methods to adopt new and non-governmental technology in defense through by investigating internal and external policies related to technology and case studies. First, it is necessary to expand opportunities to let small and medium sized companies participate in defense R&D projects. Second, it is important to improve R&D systems for introducing new and non-governmental technology on the defense industry. Third, it is needed to increase test-bed environments for experimenting and evaluating new technologies in the defense industry. Thus, we expect that the proposed methods will help form strategies for small and medium sized companies, and analyze trends for introducing new technologies in the defense industry.

• Journal of Korean Society for Quality Management
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• v.44 no.3
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• pp.575-586
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• 2016

Purpose: This paper proposes to improve the existing survey model for the quality management level of the defense industry by analyzing current quality management level, and to suggest the best survey model. Methods: The survey model was improved by merging and refining the questionnaires developed in 2014 for the purpose of reducing the answering burden and misunderstanding for questionnaires. In addition, a detailed video manual for filling the questionnaires was developed. Results: An improved survey model is presented and the quality management of the domestic defense industry is analyzed to derive some long-term policies for improving the quality level of defense industry. Conclusion: The proposed survey model will be continuously adopted to investigate the quality management level of the defense industry and target to provide the basic data for establishing the new defense policies.

• Journal of Industrial Technology
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• v.27 no.B
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• pp.77-82
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• 2007

A novel DDoS (Distributed Denial-of-Service) defense technique, Exaustiveness-Based Detection, is proposed in this work. It dispenses with the network congestion and the unfairness between users of the Defense-by-Offense technique by incorporating a kind of simple Detect-and-Block scheme (user identification), still improving the effectiveness of the defense in comparison to the original Defense-by-Offense technique. It uses SYN cookies to identify users in the granularity of ip address and to prevent ip address spoofing by the attacker. There can be, however, some probability of false negative (denying service to good clients), if the attacker wisely adapt to the new technique by saving some portion of its bandwidth resource and later mimicking good clients. Quantitative analysis the requirement for the good clients to be safe from the false negative is provided and a procedure to design the server capacity is explained.