• Title/Summary/Keyword: 국방R&D

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A Meta Evaluation for the Self Evaluation System of Defense R&D Programs (국방연구개발사업 자체평가시스템의 메타평가 모형분석 및 검증)

  • Kim, Soon-Yeong;Ha, Kyu-Soo
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.10 no.8
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    • pp.2088-2102
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    • 2009
  • This study is the result of meta evaluation for the self evaluation of defense R&D programs in Korea. The overall meta evaluation result gained 74.3 points out of 100, so it was evaluated as 'Good'. T- test and one-way ANOVA were used to identify the difference between groups. As a result of difference analysis between groups, some evaluation items showed difference within significance level. From this analysis, it is attempted to identify possible problems and to find out the ways of improvements related to the self evaluation system of defense R&D Programs. The ultimate objective of this study is to manage the programs effectively and improve the reliability and the objectiveness of the defense R&D performances.

Learning Domain Invariant Representation via Self-Rugularization (자기 정규화를 통한 도메인 불변 특징 학습)

  • Hyun, Jaeguk;Lee, ChanYong;Kim, Hoseong;Yoo, Hyunjung;Koh, Eunjin
    • Journal of the Korea Institute of Military Science and Technology
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    • v.24 no.4
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    • pp.382-391
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    • 2021
  • Unsupervised domain adaptation often gives impressive solutions to handle domain shift of data. Most of current approaches assume that unlabeled target data to train is abundant. This assumption is not always true in practices. To tackle this issue, we propose a general solution to solve the domain gap minimization problem without any target data. Our method consists of two regularization steps. The first step is a pixel regularization by arbitrary style transfer. Recently, some methods bring style transfer algorithms to domain adaptation and domain generalization process. They use style transfer algorithms to remove texture bias in source domain data. We also use style transfer algorithms for removing texture bias, but our method depends on neither domain adaptation nor domain generalization paradigm. The second regularization step is a feature regularization by feature alignment. Adding a feature alignment loss term to the model loss, the model learns domain invariant representation more efficiently. We evaluate our regularization methods from several experiments both on small dataset and large dataset. From the experiments, we show that our model can learn domain invariant representation as much as unsupervised domain adaptation methods.

Study for Analyzing Defense Industry Technology using Datamining technique: Patent Analysis Approach (데이터마이닝을 통한 방위산업기술 분석 연구: 특허분석을 중심으로)

  • Son, Changho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.10
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    • pp.101-107
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    • 2018
  • Recently, Korea's defense industry has advanced highly, and defense R&D budget is gradually increasing in defense budget. However, without objective analysis of defense industry technology, effective defense R&D activities are limited and defense budgets can be used inefficiently. Therefore, in addition to analyzing the defense industry technology quantitatively reflecting the opinions of the experts, this paper aims to analyze the defense industry technology objectively by quantitative methods, and to make efficient use of the defense budget. In addition, we propose a patent analysis method to grasp the characteristics of the defense industry technology and the vacant technology objectively and systematically by applying the big data analysis method, which is one of the keywords of the 4th industrial revolution, to the defense industry technology. The proposed method is applied to the technology of the firepower industry among several defense industrial technologies and the case analysis is conducted. In the process, the patents of 10 domestic companies related to firepower were collected through the Kipris in the defense industry companies' classification of the Korea Defense Industry Association(KDIA), and the data matrix was preprocessed to utilize IPC codes among them. And then, we Implemented association rule mining which can grasp the relation between each item in data mining technique using R program. The results of this study are suggested through interpretation of support, confidence lift index which were resulted from suggested approach. Therefore, this paper suggests that it can help the efficient use of massive national defense budget and enhance the competitiveness of defense industry technology.

항공우주과학기술의 상호 교환 및 협력에 부쳐

  • Hong, Jae-Hak
    • Defense and Technology
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    • no.8 s.162
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    • pp.22-29
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    • 1992
  • 세계적인 군축분위기속에서 우리나라의 막대한 국방비 지출이 전시에 대한 대비는 물론, 평화시에도 국가발전의 디딤돌이 되고 있다는 인식을 확산시킬 필요가 있습니다. 이와함께 우리나라의 항공우주정책이 과거와 같은 조달중심의 정책에서 개발중심의 정책으로 전환되어야 할 것이며, 국가경제에서 차지하는 국방비의 비중을 고려해서라도 국방 연구개발(R&D)이 국방차원에서 머물러서는 안될 것입니다

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A Priority Evaluation Methodology for Spin-off of Defense Technology : Patent Analysis and AHP Approach (국방 기술의 민수화 우선순위 평가 방법론 : 특허 분석 및 계층분석과정 (AHP) 기반)

  • Park, Yun-Mi;Seol, Hyeon-Ju
    • Journal of the military operations research society of Korea
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    • v.36 no.3
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    • pp.15-27
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    • 2010
  • Dual-use technology, upon its effective development, can be a highly efficient technology that may be utilized for both achieving industry competitiveness and building National Security. Although research needs for such development methodology and call for corresponding efforts have long been proposed, actual outputs have not reached its desired level. Hence, this paper aims to provide more concrete and quantitative process in technology planning used to activate development of dual-use technology, considering dual usability and transferability of such technologies. In such effort, we propose use of patent analysis and the Analytic Hierarchy Process (AHP) for determining priorities for spin-off defense technology. First, the necessity of R&D and potential spin-off are measured based on patent information. Second, the necessity of R&D results from a quantitative analysis and the potentials spin-off are derived from analysis of patent citations. Then, AHP is used to calculate the importance of evaluating factors, and to assess alternative scores. Finally, we present the result of spin-off priority. A case study on the Korea defense technology is presented to illustrate the proposed method. We expect this study to make contribution in vision making of the military R&D spending.

Analyzing the Efficiency of Defense Basic Research Projects using DEA (자료포락분석(DEA)을 활용한 국방 기초연구개발 사업의 효율성 분석)

  • Lim, Yong-Hwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.21 no.7
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    • pp.517-524
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    • 2020
  • In line with the recent wave of the 4th Industrial Revolution, the environment for defense R&D is transforming into a center of high-tech military technology. In particular, developed countries are strengthening control of technology exports and technology transfer to protect advanced defense science and technology. For this reason, the budget demand for securing the ability to develop independently high-tech weapons and core technologies suitable for the future battlefield environment is increasing, and increasing efficiency in R&D investment has been highlighted for efficient distribution of limited budgets. This study examined the efficiency of the defense basic R&D project using the non-parametric approach, DEA. The R&D budget, R&D researcher, and R&D period were selected as the input variables, and the number of papers and patents were used as output variables. The efficiency of basic R&D projects was analyzed through CCR, BCC models, and SE. Lastly, based on the efficiency measurements, the cause of the inefficiency of R&D projects was suggested, and ways to improve efficiency were suggested. This study is expected to be used as useful information that can be applied to project performance management through efficiency analysis of basic defense R&D projects and be reflected in the project planning stage through feedback.

A Study on the Application of Analytic Hierarchy Process to Improve the Fairness of Evaluation Indicators for the National Defense Core Technology R&D Projects (국방 핵심기술 연구개발 사업의 평가지표 개선을 위한 계층분석적의사결정기법 적용 연구)

  • Kim, Chan-Soo;Cho, Kyu-Kab
    • Journal of the Korea Institute of Military Science and Technology
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    • v.10 no.3
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    • pp.79-89
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    • 2007
  • This study suggests the applicability of an AHP(Analytic Hierarchy Process) to improve the validity and fairness of evaluation index to assess the defense core-technology R&D projects. This study focused on the design of the proposal and performance evaluation index to structure them into a hierarchy using AHP which can be applicable to take the opinion of the defense R&D experts. Using the refined evaluation index, we propose a technique to enhance the reliability of the defense R&D projects evaluation system.

A Study on the Analysis and Improvement of Defense Technology Planning in Response to the Fourth Industrial Revolution (4차 산업혁명 대응을 위한 국방기술기획 분석 및 개선방안 연구)

  • Noh, Sang-Woo;Song, Yu Ha;Choi, Jong-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.4
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    • pp.551-556
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    • 2018
  • With the rise of the fourth industrial revolution, the importance of establishing R&D strategies to develop ICT technologies such as Big Data, Artificial Intelligence, Robots, the Internet of Objects, and 3D Printing is increasing. In this study, we analyzed the effects of the fourth industrial revolution on society and the present state of the national defense technology planning system, and proposed improvement measures for the utilization of the fourth industrial revolution in the defense industry from the perspective of defense R&D. The current defense R&D strategy focuses on securing the core technologies of each weapon system required by the military through research and development. Under the current system, the role of fourth industrial revolution technology will be confined to some of the weapons systems required by the military. In order to overcome this limitation, we propose a technology roadmap for the future weapons systems.

A Study for Defense Acquisition System Improvement (국방무기체계 획득절차 발전방향 - 미국 국방획득절차 개선노력을 중심으로 -)

  • Go, Sim-Jae
    • Journal of the military operations research society of Korea
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    • v.31 no.2
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    • pp.86-104
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    • 2005
  • During the 'Cold War', DoD had focused on the high performance and timely acquisition which enabled quick field out the superior weapons than the enemy regardless of acquisition cost. But, after the cold war, the focus has been changed to the 'cost effective acquisition' of weapon systems because of tremendous investment cost & economic theory. The U.S. DoD has been tried to make 'the most effective acquisition system'(AR, Acquisition Reform) from mid-80's with their enough experienced program data, and as a result, they had launched the new acquisition procedure - DoD 5000 series - in 1996. DoD is continuously doing the study and making several improvements on the procedure after it had been once announced. On Oct 30. 2002, DoD noticed that they cancelled the DoD 5000 series documents(5000.1, 5000.2, 5000.2-R) and 5000.2-R will be reissued as a guide. The most recent version which focused on 1) evolutionary acquisition and spiral development, 2) procedure for future technology systems including software and IT, 3) supplement on the area of efficiency, flexibility, creativity and innovation of old system was issued by May 12. 2003. This article suggests a 'good idea' based on the reviewing of these DoD efforts for our defense acquisition regulation and procedure to go. It includes the CAIV concept application, IPT utilization, T&E method, cost or price based contract etc-all for the effective acquisition.