• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.53-63
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• 2023

The utilization of department information in bibliometric analysis using scientific and technological literature is highly advantageous. In this paper, the department information dataset was built through the screening, data refinement, and classification processing of authors' department type belonging to university institutions appearing in academic journals in the field of science and technology published in Korea, and the automatic classification model based on deep learning was developed using the department information dataset as learning data and verification data. In addition, we analyzed the co-authorship structure and network in the field of computer science using the department information dataset and affiliation information of authors from domestic academic journals. The research resulted in a 98.6% accuracy rate for the automatic classification model using Korean department information. Moreover, the co-authorship patterns of Korean researchers in the computer science and engineering field, along with the characteristics and centralities of the co-author network based on institution type, region, institution, and department type, were identified in detail and visually presented on a map.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.305-305
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• 2017

많은 국가에서 중소기업의 기술혁신을 지원하기 위해서 다양한 직 간접적 지원 프로그램을 기획하고 운영한다. 이 연구는 R&D 투자 효율성을 제고하기 위한 간접 지원의 대표적인 사례 중에서 지식서비스, 특히 그중에서도 R&D 기획, 기술가치평가, 정보 지원 사업에 주목했다. 이 연구에서는 지식서비스의 일환으로 공공과 민간에서 다양하게 제공되고 있는 3가지 지원 사업을 대상으로 R&D 중소기업 중에서 수요 집단의 특징을 프로파일링 했다. 이런 프로파일링을 통해 기업의 해당 지식서비스 지원 적합성을 진단할 수 있는 계량적인 방법을 제안하고 나아가 이를 통한 처방 방법을 논의한다. 구체적인 연구 방법으로는 데이터 마이닝을 통한 분석 방법으로 수요 집단을 프로파일링 했으며, 전통적인 통계 방법인 판별분석 방법을 활용해서 구체적인 지식서비스 적합성 진단 모형을 제시했다. 본 연구에서는 특정 지식서비스 수요에 대한 중소기업의 특징을 프로파일링하기 위해서 설문정보를 활용했으며, 모형의 적정성을 검증하기 위해서 새로운 설문을 활용하는 등 총 6,600 기업에 대한 대규모 설문을 활용했다는데도 차별적 의의가 있다. 본 연구의 결과는 대규모 데이터를 바탕으로 한 중소기업에 대한 지식서비스 또는 R&D 진단과 처방 서비스를 제시해 중소기업과 정부 R&D 투자 효율성을 개선시키는데 기여할 것으로 기대된다.

• Korean Business Review
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• v.16
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• pp.123-144
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• 2003

The transfer of R&D performance is the technology transfer in a narrow sense. This study aimed at fanning the effective managerial systems of the transfer of the academic entrepreneur's R&D performance. For this purpose, this study analysed the characteristics and success factors of R&D performance transfer based on the theory of project life cycle. This research classified the life cycle of academic entrepreneurs' R&D projects into six stages. And the risks associated with the transfer process was categorized using the case study about the establishing processes the mineral-related small finns. Especially, the risk of the technology transfer was investigated by the R&D project implementation stages. Based on this results, this paper suggested the strategic system such as the marketing-oriented thinking, the clear-cut statement of the role among the stake-holders of the R&D and commercialization processes, the dynamic system of the academic entrepreneurs' leadership, the formation of the transfer management system, and the usage of project risk management techniques.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.1
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• pp.255-283
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• 2024

In this study, as a preliminary research to effectively support data-driven R&D of researchers, we analyzed the academic information and data requirements for researchers to discover new types of academic information and datasets, and to propose directions for academic information services. To achieve the research objectives, we conducted an exploratory case study involving five researchers and administered an online survey among ScienceON users to glean insights into data-driven R&D behaviors and information/data requirements. As a result, researchers relatively referred to academic papers, datasets and software information from academic papers or conference materials. Moreover, the methods and pathways for acquiring data, as well as the types of data, varied across different subject areas. Researchers often faced challenges in data-driven R&D due to difficulties in locating and accessing necessary datasets or software such as learning models. Therefore it has been analyzed that for future support of data-driven R&D, there is a need to systematically construct datasets by subject. Additionally, it is considered necessary to extract and summarize dataset and related software information in conjunction with academic papers.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.413-429
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• 2009

As science and technology which the society requires become highly advanced and complicated, the need of so-called Convergence Technology(CovT) is getting more significant. The major developed countries are presenting their own vision and strategies of CovT to take the lead of future society and global economies. In Korea, each ministries and government offices are suggesting their own directions of promoting CovT and supporting the related programs. This paper investigates the overall status of national and international R&D activities related to CovT in order to invigorate the related national R&D programs and maximize their effectiveness. It also purports to realize the growth potential and a ripple effect of CovT, such as new business creation and fulfillment of public needs, so that secure new CovT in an early stage. Based on the analysis of the overall status of national R&D programs, we redefine and re-categorize the CovT, which is especially oriented to the development of government support policy, and present the customized strategies to each categories.

• Korean Journal of Weed Science
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• v.16 no.4
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• pp.354-361
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• 1996

This study was conducted to evaluate the susceptibility of rice(Oryza sativa L.) cultivars to herbicide thiobencarb through the determination of protein patterns using SDS-PAGE. In both greenhouse and laboratory screening tests, IR 10198-66-2 and IR 9660-50-3-1 showed relatively tolerant response to thiobencarb, while IR 22, IR 31802-48-2-2-2 and IR 20656-R-R-R-6-1 were susceptible to it. The total protein content of susceptible cultivars markedly decreased as the thiobencarb concentrations increased, but tolerant cultivars such as IR 10198-66-2 and IR 9660-50-3-1 showed very slight changes suggesting that protein synthesis of susceptible cultivars may be inhibited by thiobencarb. The protein profiles of the tolerant cultivars were not much affected by thiobencarb treatment. However, the protein spots with molecular weights of 14.4 kD and 55 kD in the susceptible cultivar of IR 22 disappeared with the treatment of 3 ppm thiobencarb, indicating that differential susceptibilities of rice cultivars against thiobencarb can be attributed to their difference in protein metabolism affected by thiobencarb.

• Fire Science and Engineering
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• v.24 no.6
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• pp.126-132
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• 2010

Due to the change of future environment like high-rise building and the use of basement space etc, new types of disaster occur in recent years. The scale of disasters is changing to bigger than past and the environment of fire industry is varied with Korea-America FTA etc. As the reasons above expressed, the necessity of technical innovation of fire industry comes to the fore. Domestic fire products don't have competitive technique than one of developed countries and also don't have competitive price than one of Southeast Asia and China. It is very important that the independent fire industry must be established using R&D vitalization to overcome these problems. In this study, we have analysed the status of domestic R&D and the domestic fire industry R&D. And we suggested the problems of above analysis and improvement. Consequently, we want to suggest the development strategy through R&D vitalization.

• Journal of Animal Environmental Science
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• v.14 no.3
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• pp.149-158
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• 2008

The purpose of this study was to determine the effect of milking system type on milking center effluent production through the four seasons. Four different types of milking systems (Bucket, Pipeline, Tandem and Herringbone) were estimated, in duplicate, through the different seasons. The following conclusions can be drawn from this study. 1. The quantity of wastewater produced from Tandem and Herringbone milking systems were significantly larger than Bucket milking system (p<0.05). 2. The main wastewater production was from the washing of milking apparatus. Tandem and Herringbone milking systems produced 398.8 and $407.7{\ell}$/day of wastewater, respectively, for apparatus washing. These values were significantly higher than the other milking systems during the summer (p<0.05). 3. The average wastewater production from the various milking systems was $15.4{\ell}$/head/day. The quantity of wastewater production during summer ($16.4{\ell}$/head/day) season was higher than of the other seasons. 4. The highest level of $BOD_5$ ($906.4mg/\ell$) was produced from the washing of the parlor floor and the lowest level of $BOD_5$ ($212.4mg/\ell$) was produced from the washing of the udders of the cows. 5. The pH of dairy wastewater was in the range of $7.3{\sim}8.2$ and the average levels of $BOD_5$, COD, SS, T-N, and T-P were 731.2, 479.0, 751.6, 79.1, $14.7mg/\ell$, respectively. Following conclusions can be drawn from this experiment. The quantities of wastewater production from Bucket, Pipeline, Tandem and Herringbone milking system were 143.9, 487.9, 914.0, and $856.7{\ell}$, respectively. The average wastewater produced from the milking systems was $15.4{\ell}$/head per day. In order to effectively manage on the wastewater from milking systems, dairy farms need to consider the milking system type and farm size when determining the optimum wastewater treatment system.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.12
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• pp.473-484
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• 2017

This study analyzed collaborative R&D projects funded by the Korean government from 2013-2015. For this analysis, input and output variables of projects were considered, and a combination of those variables was itemized. The output-oriented variable return to scale (VRS) model extended from the DEA methodology was adopted to evaluate the cooperation efficiency of the types of R&D collaboration, which were classified according to the project leader's organizations. In addition, hierarchical cluster analysis was conducted using the efficiency results of the scientific, technical, and economical outcome models. The results showed that cooperation efficiency between large companies and public research institutions was relatively high. Conversely, cooperation among medium-sized companies, small businesses and universities was particularly inefficient. The clustering results demonstrated the various strengths and weaknesses of the types depending on publications, patents, technical loyalties and the number of commercialization. In conclusion, this study suggests differentiated investment portfolios and strategies based on the efficiency results of diverse cooperation types among industries, universities and public research institutions.

• Proceedings of the KIEE Conference
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• 2002.07d
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• pp.2061-2063
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• 2002

상용 DVD 플레이어에서 불량디스크에 대한 재생성능을 향상시키는 기술은 제조업체에게는 다른 어떤 것보다 우선하는 중요한 성능상의 지표이다. 불량디스크를 유형별로 나누어 보면 스크래치 디스크, 지문 디스크, 틸트 불량디스크 등으로 구분할 수 있다. 본 논문에서는 이러한 불량디스크 중 틸트 불량 디스크에 대한 플레이어의 재생성능을 향상시키는 기법을 제안한다. 즉 디스크의 재생도중 검출되는 지터데이터를 궤환하여 별도로 구동되는 틸트모터를 제어함으로써 재생성능의 향상을 꽤한다. 또한 실험을 통하여 그 유효성을 검증한다.