• Journal of Korean Society of Industrial and Systems Engineering
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• v.43 no.3
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• pp.87-94
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• 2020

In this study, the factors affecting the efficiency of 48 projects of private R&D institutes were analyzed using the Tobit model. Influencing factors were selected as open R&D network size, IT industry, interaction between R&D network size and IT industry, and type of R&D network cooperation. As a result of Tobit analysis, the R&D network size, the IT industry, and the type of R&D network cooperation were found to be significant. The larger the open R&D network size, the lower the efficiency, and the IT industry showed lower R&D efficiency than other industries. In addition, cooperation with universities and research institutes showed lower R&D efficiency than cooperation with companies. As a result of these studies, companies will be able to select and focus on cooperation with the outside in relations and investment allocation.

• TTA Journal
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• s.94
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• pp.57-64
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• 2004

• Journal of Digital Convergence
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• v.15 no.11
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• pp.199-207
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• 2017

The business environment changing very fast with technology advance and convergence makes the role of R&D become more and more important to firms' success. By analyzing the 683 firm-level data of small and medium venture firms with the ordinary least squares regression, this study sheds new light on the following four points. First, small and medium venture firms' exterior R&D collaboration network heterogeneity positively impacts their import substitution from technology development. Second, the existence of the corporate R&D center moderates the positive impact of small and venture firms' exterior R&D collaboration network heterogeneity on their import substitution from technology development. Third, small and venture firms' exterior R&D information network heterogeneity positively impacts their import substitution from technology development. Fourth, The existence of the corporate R&D center moderates the positive influence of small and venture firms' exterior R&D information network heterogeneity on their import substitution from technology development.

• 한국정보디스플레이학회:학술대회논문집
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• 2002.08a
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• pp.835-837
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• 2002

The 17" Backlight Unit (BLU) employing twelve EEFLs (External Electrode Fluorescent Lamp) has been developed for LCD-TV The characteristics of the EEFL BLU without dual brightness enhancement film (DBEF) were equivalent to those of CCFL (Cold cathode Fluorescent Lamp) BLU employing eight CCFLs with DBEF. Luminance, power consumption and uniformity were 12,000nits, 32watt and 80%, respectively. The inverter of EEFL Backlight Unit is composed of 2 transformers and driven by the sinusoidal waveform.

• 한국정보통신설비학회:학술대회논문집
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• 2005.08a
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• pp.431-435
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• 2005

이동통신망을 설계하고 최적화하기 위한 무선망 분석 시뮬레이션 툴은 다양한 분석기능을 가지고 있다. 전파전파예측을 비롯한 용량, 커버리지 분석까지 가능한 이러한 시뮬레이션 툴의 신뢰도는 망 성능에 절대적인 영향을 미친다. 특히 데이터 서비스 중심으로 망이 고도화 되어가면서 시뮬레이션 툴의 신뢰도에 대한 기준 정립이나 신뢰도 향상 기법에 대한 체계적인 연구가 요구된다. 본 논문에서는 이러한 시뮬레이션 툴의 기본 기능에 대한 신뢰도를 향상시키는 구체적인 절차나 기법에 대해 이론적/경험적으로 접근해 구체화시키고 이를 바탕으로 과학적인 신뢰도 향상 기법을 도출해낸다.

• Journal of Ocean Engineering and Technology
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• v.34 no.6
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• pp.461-468
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• 2020

This study examined how national research and development (R&D) in the domain of logistics has changed recently in the Republic of Korea. We conducted basic statistical analysis and social network analysis on 5,327 logistics-related R&D projects undertaken during 2005-2019. Data for performing these analyses were collected from the R&D database of the National Science and Technology Information Service (NTIS). By constructing a co-occurrence matrix with keywords, we conducted degree and betweenness centrality analysis and visualized the network matrix to display a cluster map. This study presents our observations related to the following findings: (1) the chronical trends of logistics R&D, (2) focused fields of logistics R&D, (3) the relations among keywords, and (4) the characteristics of logistics R&D. Finally, we suggest policy implications to boost and diversify logistics R&D.

• Proceedings of the Korea Technology Innovation Society Conference
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• 2017.11a
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• pp.129-129
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• 2017

In planning and evaluating government R&D programs, one of the first steps is to understand the government's current R&D investment portfolio - which fields or topics the government is now investing in in R&D. Analysis methods of an investment portfolio of government R&D tend traditionally to rely on keyword searches or ad-hoc two-dimensional classifications. The main drawback of these approaches is their limited ability to account for the characteristics of the whole government investment in R&D and the role of individual R&D program in it, which tends to depend on the relationship with other programs. This paper suggests a new method for mapping and analyzing government investment in R&D using a combination of methods from natural language processing (NLP) and network analysis. The NLP enables us to build a network of government R&D programs whose links are defined as similarity in R&D topics. Then methods from network analysis show the characteristics of government investment in R&D, including major investment fields, unexplored topics, and key R&D programs which play a role like a hub or a bridge in the network of R&D programs, which are difficult to be identified by conventional methods. These insights can be utilized in planning a new R&D program, in reviewing its proposal, or in evaluating the performance of R&D programs. The utilized (filtered) Korean text corpus consists of hundreds of R&D program descriptions in the budget requests for fiscal year 2017 submitted by government departments to the Korean Ministry of Strategy and Finance.

• 한국정보통신설비학회:학술대회논문집
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• 2004.08a
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• pp.31-34
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• 2004

본 논문에서는 현재 위성 DMB 국내 표준으로 채택되어 있는 System E 방식의 Dual Mode 신호 전송에 따른 신호변환시 Time Delay측정 방법에 대해서 제안을 하였다. 제안된 방식의 경우 아날로그 방식이 아닌 디지털 방식으로 정확한 Time Delay 측정이 가능하다. 그리고 위성 DMB Gap Filler System의 입 출력 단자를 통하여 측정이 가능함으로 측정값에 대한 신뢰성 확보가 가능하며 자동측정 방식임으로 측정시 발생될 수 있는 Human Error를 최소화 할 수 있다는 장점을 가지고 있다.

• Knowledge Management Research
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• v.17 no.4
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• pp.77-104
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• 2016

The effective management of R&D employees is critical for a small or medium sized firm's sustainable growth. R&D employees have professional skills and choose expertise-oriented or management-oriented careers in the process of organizational socialization. This study synthetically verifies the direct and indirect effects of R&D employees' social network and self-esteem on their career orientation by organizational commitment based on social network theory and social recognition theory. The research model has been analyzed through structural equation modeling using survey responses from 220 R&D employees at small- and medium-sized firms in Korea. The analysis results show that internal network activities have direct and indirect impacts on organizational commitment and career orientation, but external network activities do not have significant effects on self-esteem, organizational commitment, or career orientation. There is no consensus in prior studies on whether expert orientation and management orientation are distinct concepts. In this study, these two types of orientation are verified as distinct concepts. It is also found that R&D employees' internal network activities are significant factors for a company's growth. A company should implement an educational system of roles and duties using which individuals can pursue career progression. In addition, it is necessary to provide career development programs such as job rotation, mentoring, and career counseling.

• Journal of the Korea Convergence Society
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• v.9 no.12
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• pp.17-24
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• 2018

This study attempted to analyze technology convergence structure and key technology research sectors in bio-health. For this, network analysis was performed based on the patent outcomes achieved through national R&Ds. Then, a patent network was analyzed to derive problems and collect data from the National Science & Technology Information Service. With the five groups obtained through the analysis of IPC network and national R&D patents in bio-health based on a research frame network, topics were chosen based on the bio-healthcare technology system. Then, the technology with the greatest ripple effects was derived and compared to other sectors, suggesting a direction for national R&D investments. It is anticipated that this study would make a contribution to a search for R&D investment direction by additionally analyzing overseas patent data and improving correlation analysis between technology convergence and government-led R&D expenses.