• Defense and Technology
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• no.12 s.214
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• pp.60-71
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• 1996

• Convergence Security Journal
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• v.20 no.4
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• pp.113-123
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• 2020

The fourth industrial revolution can be called the hyper-connected-based intelligent revolution triggered by advanced information technology and intelligent technology, and the basis for implementing these technologies is 'data'. This study proposes a way to strategically use data in order to lead this intelligent revolution in the defense area. First of all, implications through analysis of domestic and international trends and prior research and current status of defense data management were analyzed, and four directions for development were presented. If the government composes conditions for building, releasing, sharing, distribution, and convergence of defense data considering the environment of national defense in the future, it is expected that it will serve as a foundation and a shortcut to be a digitalized strong military through smart defense innovation in the era of the fourth industrial revolution.

• Journal of Digital Convergence
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• v.14 no.2
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• pp.41-48
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• 2016

This paper identifies the factors affecting user satisfaction for the successful application of Smart-education in national defense recently at the national level and suggests the political implications through the empirical research to nurture creative talents globally. The study model was designed by setting the influencing factors on the user satisfaction of smart education. In order to verify the reliability of the measurement item, it was calculating the coefficient Cronbach's ${\alpha}$ and validity was verified by carrying out factor analysis. The empirical results of this doctoral dissertation as a Smart-education, factors affecting user satisfaction, content, management, internal organization, user characteristics, such as classified into five areas detailed factors as independent variables correlation analyzes were carried out factors influencing the most effective impact on training and user satisfactions were tested.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.169-178
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• 2020

The reductions of troops/human resources, and improvement in combat power have made Korean Department of Defense actively adapt 4th Industrial Revolution technology (Artificial Intelligence, Big Data). The defense information system has been developed in various ways according to the task and the uniqueness of each military. In order to take full advantage of the 4th Industrial Revolution technology, it is necessary to improve the closed defense datamanagement system.However, the establishment and usage of data standards in all information systems for the utilization of defense big data and artificial intelligence has limitations due to security issues, business characteristics of each military, anddifficulty in standardizing large-scale systems. Based on the interworking requirements of each system, data sharing is limited through direct linkage through interoperability agreement between systems. In order to implement smart defense using the 4th Industrial Revolution technology, it is urgent to prepare a system that can share defense data and make good use of it. To technically support the defense, it is critical to develop Multi Repository Meta-Data Management (MRMM) that supports systematic standard management of defense data that manages enterprise standard and standard mapping for each system and promotes data interoperability through linkage between standards which obeys the Defense Interoperability Management Development Guidelines. We introduced MRMM, and implemented by using vocabulary similarity using machine learning and statistical approach. Based on MRMM, We expect to simplify the standardization integration of all military databases using artificial intelligence and bigdata. This will lead to huge reduction of defense budget while increasing combat power for implementing smart defense.

• Review of Korean Society for Internet Information
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• v.13 no.4
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• pp.54-59
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• 2012

• Defense and Technology
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• no.11 s.35
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• pp.6-13
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• 1981

• Convergence Security Journal
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• v.16 no.3_1
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• pp.27-35
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• 2016

This thesis analyzes the backgrounds of the third offset strategy of the US Department of Defense. The key technology areas to be developed and the implications of the 3rd strategy are also examined. The potential great powers, China and Russia have catched up with US in the certain areas of military technologies. The technological superiority of US military is found to have been eroded. The US DOD needs a new defense policy called the 3rd offset strategy to meet this new challenge. The 5 basic technology areas were identified; learning machines, human-machine collaboration, machine-assisted human operations, human-machine combat teaming, and autonomous weapons. The 3rd offset strategy should be managed not to move to the new arms race with rivalries. The defense acquisition system also needs to be improved for the smooth flow of the advanced commercial technologies to the defense sector. Korea needs to figure out the possible technologies of co-research and development with US.

• Review of Korean Society for Internet Information
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• v.13 no.4
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• pp.46-53
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• 2012

• Review of Korean Society for Internet Information
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• v.13 no.4
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• pp.39-45
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• 2012

• Journal of Korean Society for Quality Management
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• v.48 no.4
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• pp.567-580
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• 2020

Purpose: The purpose of this study is to present a preferred parts list, establish a search tool for common parts, and propose a development plan for parts management. Methods: When selecting the preferred parts list, the weight of the selection of the military parts and the online site of the civilian parts were taken into account. By establishing a database of selected preferred parts list, we have established a system for searching common parts. Results: The results of this study are as follows; In order to establish parts management work in Korea's defense, it is necessary to improve the Defense Acquisition Program Act, Enforcement Decree (Rules), and the Regulations for Defense Acquisition Program Administration. Development of performance indicators for parts management is required, and establishment of procedures and standards for selection of preferred parts lists is required. Considerations for the selection of preferred parts list include whether they are used a lot in civilian products, whether they are used a lot, whether they are certified suppliers, whether they are national and industrial standard products, whether they perform well considering reliability, durability, and quality, and whether they can be supplied continuously. Conclusion: It is necessary to establish policies and systems related to parts management and to establish criteria for selecting preferred parts list for the development of domestic parts management tasks.