• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.2
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• pp.189-196
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• 2024

Classification of drones and birds is challenging due to diverse flight patterns and limited data availability. Previous research has focused on identifying the flight patterns of unmanned aerial vehicles by emphasizing dynamic features such as speed and heading. However, this approach tends to neglect crucial spatial information, making accurate discrimination of unmanned aerial vehicle characteristics challenging. Furthermore, training methods for situations with imbalanced data among classes have not been proposed by traditional machine learning techniques. In this paper, we propose a data processing method that preserves angle information while maintaining positional details, enabling the deep learning model to better comprehend positional information of drones. Additionally, we introduce a training technique to address the issue of data imbalance.

• Electronics and Telecommunications Trends
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• v.39 no.2
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• pp.93-102
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• 2024

As the scale of research and development (R&D) increases, countries and companies are consistently establishing R&D directions to meet strategic goals and market demands as well as roadmaps to increase efficiency through concentration and selection. However, establishing an effective roadmap and discovering promising technologies are challenging under the current numerous technological possibilities and uncertainties. The importance of discovering promising technologies to secure future technological competitiveness is recognized worldwide, and Europe, the United States, and Japan are establishing processes to identify promising future technologies and support related R&D. Methods for discovering promising future technologies can be classified into future social needs analysis, forecasting, surveys, use of expert opinions, and data analysis. We describe the types and limitations of technology roadmaps and investigate the status of domestic and foreign organizations using weak signal search through quantitative data analysis.

• The Journal of the Korea Contents Association
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• v.14 no.8
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• pp.365-373
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• 2014

The assignment of exploration on individuals provides challenging work environments, while it generates high levels of complexity. On the other hand, the assignment of exploitation on individuals offers less challenging work environments, while it makes low levels of complexity. Give the characteristics of exploration and exploitation, I argue that the assignments of both exploration and exploitation create the favorable work environments to individuals. Developed hypotheses were tested using a logit regression from a sample of 168 project managers in a R&D center. I found that a manager who experienced exploitation project(s) is positively related to higher performance in exploitation project(s). In addition, a manager who experienced both exploitation and exploration projects are found to be positively associated with higher project performance.

• Economic and Environmental Geology
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• v.52 no.3
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• pp.243-250
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• 2019

The purpose of this study is to pro-actively respond to changes in government R&D policy and start to supplement the limitations of previous KIGAM R&D planning process. We looked out through the existing literature for a variety of R&D planning process, and analyzed the R&D planning process characteristics of each institution through the interview. As a result, we can be derived conclusions and implications from three sides, environmental analysis, demand excavation methods, R&D project configuration and selection method. In the case of environmental analysis and the overall need to enhance the skills and mega trend analysis by market trend analysis. And in the demand side, the institute need to establish challenging and specific R&D goals. In addition, in case of configuration and selection of R&D projects we derived several implications, such as convergence, SME support, resource analysis, selection of long-term project.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.4
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• pp.199-209
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• 2022

As the uncertainty of technology development and market needs increases due to changes in the global business environment, the interest and demand for R&D activities of individual companies are increasing. To respond to these environmental changes, technology commercialization players are paying great attention to enhancing the qualitative competitiveness of R&D. In particular, R&D companies in the marine and fishery sector face many difficulties compared to other industries. For example, the R&D environment is barren, it is challenging to secure R&D human resources, and it is facing a somewhat more difficult environment compared to other sectors, such as the difficulty in maintaining R&D continuity due to the turnover rate of researchers. In this study, based on the empirical data and patent status of private companies closely related to the R&D technology status, big data analysis, and simulation analysis methods were used to identify the relative position of individual companies' R&D capabilities and industrial perspectives. In this study, based on industrial evidence and patent applications closely related to the R&D technology status, the R&D capabilities of individual companies were evaluated using extensive data analysis and simulation analysis methods, and a statistical test was performed to analyze if there were differences in capabilities from an industrial point of view. At this time, the industries to be analyzed were based on all sectors, the maritime industry, the fisheries industry, and the maritime industry integration sector. In conclusion, it was analyzed that there was a certain level of difference in the R&D capabilities of individual companies in each industry sector, Therefore when developing a future R&D capability system, it was confirmed that it was necessary to separate the population for each industry and establish a strategy.

• New & Renewable Energy
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• v.10 no.4
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• pp.16-21
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• 2014

Advanced biofuels are recognized as a key tool to mitigate the $CO_2$ emissions in the transport sector. Active R&D works have been carried out but there are still some major barriers to implement the technology. In this paper, recent developments on the advanced biofuels' technology are reviewed and the major barriers to commercialization of the biofuels will be discussed.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.346-366
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• 2013

The importance of challenging and creative research recently has been increased, risk-taking on the R&D is being needed. The settlement of policy is urgently required in order to protect the result of high-risk research. 'Honorable Failure' is statutory by 'Regulation on the National R&D Program management' to resolve this issue, however its standards and detailed guides are not provided enough or the ministerial funding agencies apply different guidelines, making the researchers on the field confused by far. Therefore this paper reviews the current state of 'Honorable Failure Policy'(saving the 'failed' research despite of its adequate process or performance) and compares with the cases of major countries, then points out following issues; the uncertainty of the criterion, the difference of the main agent performing evaluation, admission of the failure, the utilization of the result of 'failed' research, the vagueness of the range of sanctions and restriction, and the lack of method of inspection and prevention for repetitive failure of the research projects. Finally, this paper proposes the solutions for these issues to improve.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.32 no.2
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• pp.29-37
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• 2009

National R&D programs play an important role in the development of a country in this age of the knowledge economy. Since many numbers of R&D programs compete for limited resources such as national R&D budget, the R&D program evaluation problem is a challenging decision-making problem faced by decision makers that deal with R&D management. In this sense, DEA(Data Envelopment Analysis) has been regarded as one of the most widely accepted methods to measure the relative efficiency of productivity of R&D programs. DEA is a methodology to measure and to evaluate the relative efficiency of a homogeneous set of decision-making units(DMUs) in a process which uses multiple inputs to produce multiple outputs. However, the sample of the R&D programs could consist of two or more naturally occurring subsets, thus exhibiting clear signs of heterogeneity such as different objectives. In such situations, the fairness of DEA is limited, for the nature of the relative efficiency of a DMU is likely to be influenced by its membership in a particular subset of the sample. In this study, we propose a methodology AI-DEA(attainment index DEA) allowing for reflecting decision maker's subjective judgement on difference among different subsets of R&D programs which have heterogeneous objectives. This methodology combines AHP and Delphi in order to decide the attainmnet index of each DMU for each outputs, and apply them to DEA model. We illustrate the proposed approach with a pilot evaluation of 13 programs involving 6 different subsets of Korean National R&D programs and compares the results of the original DEA model and AI-DEA model.

• Journal of the Korea Institute of Military Science and Technology
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• v.13 no.5
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• pp.886-893
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• 2010

This paper considers the problem of time difference-of-arrival(TDOA) source localization when the TDOA and angle of arrival(AOA) measurements from an airborne emitter source are subject to ground-platform sensor position. The optimization of sensors' position is a challenging problem and a solution with good localization accuracy has yet to be found. This paper proposes an estimator that can achieve these purposes and provides optimized sensor position for good localization accuracy using the proposed estimator. The developed algorithm and sensor position are then examined under the special case of a single airborne source. The theoretical developments are supported by simulations.

• Journal of the Korea Institute of Military Science and Technology
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• v.27 no.2
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• pp.247-255
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• 2024

Development of electronic warfare(EW) software has become increasingly challenging due to stricter regulations, shorter development cycles, and increased reliability testing. Consequently, software development often proceeds without proper architecture design, which can lead to missing critical quality requirements and potential system redesigns. In this study, we propose using Attribute-Driven Design(ADD) 3.0 to design software architecture specifically tailored for EW systems, enabling a more systematic approach to address quality requirements. The paper presents an overview of EW software and ADD 3.0 methodology, followed by an analysis of the architecture design results using static and dynamic views. The paper concludes by discussing the effectiveness of the proposed architecture design.