• Proceedings of the Korean Institute Of Construction Engineering and Management
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• 2007.11a
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• pp.977-982
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• 2007

There have been many efforts in automatic object recognition using computing technologies. Especially in the development of automated construction equipment, automatic object recognition is very important issue for the proper equipment maneuvering. 3D laser scanning, which uses (time-of-flight) method to construct the 3-dimensional information, is applied to the civil earth work environment for its high accuracy, quick data collection, and object recognition capability that will be developed by the authors in the future. The 3D earth model is also used as a fundamental information for intelligent earth work task planning. This paper presents the analysis of the 3D laser scanner market and selection of the most optimum 3D scanner for the intelligent earth work planning. As well as the hardware configuration for the automated 3D earth modeling is developed but also the software structure and detailed user interface are designed in this research. In addition, it is presented in this paper that the accuracy comparison test between TotalStation(R) which is a traditional survey tool and ScanStation(R). The accuracy test is done by relative distance measurement using known targets.

• Journal of Internet Computing and Services
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• v.19 no.2
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• pp.43-48
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• 2018

Various artifacts that are produced as software R&D project progresses contain research plan, research report, software requirements and design descriptions, etc. When conducting a software R&D project, it is necessary to confirm that the developed system has implemented its research requirements well. However, various research results make it difficult to design appropriate tests. So, there is a practical need for us to comprehensively handle the planning, execution, and reporting of software test for finding and verifying information related to the research. In this paper, we propose a useful method for software test process in R&D project which supports model based software testing. The proposed method supports automation of test design and generation of test data by explicitly separating each step of System Under Test (SUT). The method utilizes the various models representing the control flow of the function to extract the information necessary for testing the system. And it supports a systematic testing process based on TMMi and ISO 29119. Finally, we show the validity of the method by implementing a prototype with basic functionality to generate test data from software behavioral models.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.2
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• pp.172-183
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• 2014

This paper measures and compares the efficiency of national health technology R&D programs focused on translational research program increasing importance using data envelopment analysis (DEA). Three input variables and three output variables are selected for DEA. Inputs are funds, researchers, and project period and outputs are SCI (E) papers, applied and granted patents, and impact factor. This study uses a three-stage approach. In the first stage, output-based DEA model is applied to evaluate the efficiency of decision making unit (DMU). In the second stage, based on efficiency scores of target diseases high-efficiency group and low-efficiency group are classified. And then strategic portfolio matrix of translational research program is composed of four dimensions combining research types. Mann-Whitney U test is then run to compare average efficiency scores among four groups. In the final stage, Tobit regression model is used to estimate factors likely to influence the efficiency. The results are expected to provide policy implications for effectively establishing investment strategy and managing performance of R&D program.

• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.289-296
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• 2015

Recently, the Korean government has been making efforts to achieve 'creative economy' based on science and technology. As part of these efforts, it has been promoted specific policies for innovation and performance enhancement of national R&D projects. They contains commercialization of research outcomes, technology transfer, technology based startup and support small and medium-sized businesses. The railroad transportation industry is a representative in the field of SOC and has own characteristics different from other industry areas. Especially, industry and market of railroad transportation are directly related to planning and implementation of government SOC policies. So in order to promoting commercialization of railroad transportation projects, it is very important to ensure consistency between government policies and R&D projects. In this paper, we investigate barriers of successful commercialization with typical researchers in the area of railroad transportation, and suggest problems and improvements of policy-based commercialization by giving specific examples.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.spc
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• pp.1-8
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• 2023

To investigate the national science and technology policy direction in the field of construction machinery, an analysis was conducted on projects selected as national research and development (R&D) initiatives by the government. Assuming that the project titles contain key keywords, text mining was employed to substantiate this assumption. Project information data spanning nine years from 2014 to 2022 was collected through the National Science & Technology Information Service (NTIS). To observe changes over time, the years were divided into three-year sections. To analyze research trends efficiently, keywords were categorized into groups: 'equipment,' 'smart,' and 'eco-friendly.' Based on the collected data, keyword frequency analysis, N-gram analysis, and topic modeling were performed. The research findings indicate that domestic government R&D in the construction machinery field primarily focuses on smart-related research and development. Specifically, investments in monitoring systems and autonomous operation technologies are increasing. This study holds significance in analyzing objective research trends through the utilization of big data analysis techniques and is expected to contribute to future research and development planning, strategic formulation, and project management.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.512-521
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• 2013

This paper presents the user needs analysis and information visualization for the development of a semantic-based national R&D information navigation service in information service planning phase, which converges and fuses NDSL databases and NTIS databases. To investigate and analyze the user needs for improving usability, we make an improvement plan for R&D information services via a survey targeted at 30 persons, and on-site interviews targeted at 12 persons, almost of who are researchers in industries, universities and government-funded institutes. To design new information visualization service, we propose an interactive national R&D information visualization service, which is provided in navigation type, and prescribe persona and screen prototyping according to the user needs analysis. We design the national R&D information convergence/fusion architecture based on the NDSL databases, including 345,411 academic articles, 620,555 co-authors and 49,958 reports and NTIS databases including 187,466 national R&D projects. We expect that the national R&D information convergence/fusion architecture contributes to R&D information convergence/fusion as a leading model/standard and the interactive navigation-typed information visualization service strengthens usability continuously.

• Journal of Digital Convergence
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• v.14 no.1
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• pp.163-170
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• 2016

The purpose of this study is to determine the effect of R&D learning organization activities of domestic small and medium-sized businesses on economic/technological results. This study, through investigation on preceding studies of domestic and foreign learning organization researchers, examined the definition, characteristics, and deteriorating factors of learning organization, and learned dependent variables, which are the definition of organizational performance, and relationship between learning organization and organizational performance. Then it performed a survey targeting small- and medium-sized businesses in Gumi and grasped the relationship between R&D capability (study planning, vision goal adequacy, project management, commercialization of technologies) and learning organization capability (creation of constant learning opportunities, knowledge sharing and utilizing system, strategic learning leadership) by classifying them to seven independent variables, using regression analysis. Because this study grasped the effect of R&D learning organization activities on organizational performance, it is expected to promote forming R&D learning organization for active R&D activities and contribute to enhancing small and medium-sized businesses' recognition on the need of R&D activities.

• Journal of the Korean Geographical Society
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• v.37 no.5
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• pp.551-558
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• 2002

The further economy and trade cooperation between China and the Korean Peninsula should be carried out due to the process of globalization. Being the biggest border city and one of the windows of opening outside policy, Dandong plays a very important role in the economy and trade cooperation between China and D.P.R.K. With the tendency of regional economy cooperation amony countries of Northeast Asia, Dandong should also act as a bridge in the economy and trade cooperation between R.O.K and D.P.R.K.

• Journal of Korean Society for Quality Management
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• v.44 no.4
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• pp.785-798
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• 2016

Purpose: This paper developed the framework for extracting strategies of research and business development (R&BD) based on the data envelopment analysis(DEA). Methods: DEA has been widely utilized in evaluating R&D efficiency. Even though, technology transfer and commercialization has been regarded as the important factors for practical R&D efficiency evaluation, most research have evaluated R&D efficiency by just using the DEA outputs such as the number of patents and papers. The technology transfer, commercialization and relations among costs and generated technology and commercialization are needed to be considered for more practical R&D efficiency evaluation. Thus, this research addressed a method on how to incorporate the commercialization factors into the R&DB efficiency evaluation, and improve the efficiency strategically in terms of R&D and B&D. To achieve this, this research utilized a two-stage network DEA model for R&BD efficiency evaluation. Results: The proposed framework was applied to the 15 public research institutes and the 34 universities for validation. R&BD efficiency for the 15 public research institutes and the 34 universities was evaluated, and the differentiated improvement strategies for the inefficient DMUs to improve their efficient were proposed. Conclusion: The R&BD efficiency would be effectively analyzed based on two-stage network DEA. It would be utilized for the effective strategy planning for cultivating R&BD.

• 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.