• Title/Summary/Keyword: classification of R&D

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Reference model for development of work area and classification scheme related to telecommunications standardization (정보통신표준화 연구개발을 위한 기술분류참조모형)

  • Goo, Gyeong-Cheol;Son, Hong;Park, Gi-Sik
    • Proceedings of the Korean Operations and Management Science Society Conference
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    • 1996.10a
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    • pp.177-181
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    • 1996
  • Systematic classification system for standardization in telecommunication is essential to the standardization R&D strategy. This paper suggests a new reference model for development of work area and classification scheme related to the telecommunications standardization : Cubic and matrix approach. Standardization Work Areas(SWAs) that are upper level of the reference model are classified by its main role and function reflecting the market trends and user needs. Standardization expertise is lower level scheme, which can be regarded as the different possible layers of standardization to be applied to each one of the SWAs grouped under upper level scheme. A new reference model consists of two planes that are SWAs plane and Standardization layer plane. Finally the reference model for classification of SWAs in telecommunication mapping onto matrix table that row and column are defined by SWAs and standardization layer respectively.

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Electric Vehicle Technology Trends Forecast Research Using the Paper and Patent Data (논문 및 특허 데이터를 활용한 전기자동차 기술 동향 예측 연구)

  • Gu, Ja-Wook;Lee, Jong-Ho;Chung, Myoung-Sug;Lee, Joo-yeoun
    • Journal of Digital Convergence
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    • v.15 no.2
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    • pp.165-172
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    • 2017
  • In this paper, we analyze the research / technology trends of electric vehicles from 2001 to 2014, through keyword analysis using paper data published in SCIE or SSCI Journal on electric vehicles, time series analysis using patent data by IPC, and network analysis using nodeXL. also we predicted promising technologies of electric vehicles using one of the prediction methods, weighted moving average method. As a result of this study, battery technology among the electric vehicle component technologies appeared as a promising technology.

The performance of Bio-aerosol Detection System (BDS) with 405 nm laser diode (405 nm 광원을 이용한 생물입자탐지기의 에어로졸 분석성능)

  • Jeong, Young-Su;Chong, Eugene;Lee, Jong-Min;Choi, Kibong
    • Particle and aerosol research
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    • v.13 no.1
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    • pp.25-31
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    • 2017
  • This paper offer the characteristics for the detection and classification of biological and non-biological aerosol particles in the air by using laser-induced-fluorescence (LIF) based Bio-aerosol Detection System (BDS). The BDS is mainly consist of an optical chamber, in-outlet nozzle system, 405 nm diode laser, an avalanche photo detector (APD) for scattering signal and photomultiplier tubes (PMT) for fluorescence signals in two different wavelength range ; F1, 510-600 nm and F2, 435-470 nm. The detection characteristics, especially ratio of fluorescence signal intensity were examined using well-known components : polystylene latex (PSL), fluorescence PSL, $2{\mu}m$ of SiO2 micro sphere, dried yeast, NADH, ovalbumin, fungicide powder and standard dust. The results indicated that the 405 nm diode laser-based LIF instrument can be a useful bio-aerosol detection system for unexpected biological threaten alter in real-time to apply for dual-use technology in military and civilian fields.

5G Cyber Physical System-based Smart City Service Policy (5G CPS 기반 스마트시티 서비스 정책)

  • Kim, Byung-Woon
    • Informatization Policy
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    • v.27 no.4
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    • pp.67-84
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    • 2020
  • This study proposes a smart city service revitalization policy based on communication facility infrastructure in 5G CPS - the core of the 4th industrial revolution, R&D, and related legislations. The 5G CPS is a converged form of ICT technologies, communications facilities, and physical systems. In this study, we propose methods of creating new services for the smart city domain based on communication facilities and the cloud platform in 5G CPS - first, by improving the communication methods classification system based on the facility scale; second, by establishing the national telecommunication facility infrastructure and making long-term investment; third, by reorganizing the Smart City Act aimed at activating new services; and lastly, by expanding the national data analytics R&D and policy support.

Empirical Research on the R&D Investment and Performance of Venture Businesses (벤처기업의 R&D 투자와 성과에 관한 실증연구)

  • Lee, D.K.;Lee, C.K.;Kim, J.H.
    • 한국벤처창업학회:학술대회논문집
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    • 2008.04a
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    • pp.179-208
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    • 2008
  • In this research, an empirical analysis was performed to determine the correlation between management performance and R&D investment for domestic venture businesses in each industry. Specifically, an empirical analysis for each industry was attempted not only to clarify the general hypothesis on the relationship between management performance and R&D investment for venture businesses but also to demonstrate that differences exist for each industry. Empirical analysis was conducted for eight industries with respect to the $2002{\sim}2006$ panel data extracted as investigative results from the "Investigation Report on Science and Technology R&D Activities" published by the Ministry of Science and Technology. Industrial classification was limited to the middle-level classification (2-digit) in the Korea Standard Industry Code (KSIC) owing to the limited number of panels. Although this research only verified the overall positive effect of R&D activities and funds for existing research on corporate value or productivity and management performance, it was able to document the difference for each individual industry and each business size unlike existing research.Furthermore, the reliability of the research results was enhanced by targeting companies that have been continuously conducting R&D and management activities using consistent 5-year panel data in the analysis. Again, this was something that existing research did not have. Finally, through the use of recent data from 2002 after the IMF economic crisis up to 2006 in the empirical analysis, this research proposed the problems due to the prevailing circumstances at the time of entering the advanced nation stage based on an empirical analysis; the prevailing problems during the pursuit of advanced nation status before the IMF crisis broke out were not tackled. The key empirical analysis yielded several results. First, capital and size of the labor force have a positive correlation with the management performance for the entire company or the venture business. This applies to all eight industries as the subjects of the analysis. Second, although the number of years since a company has been established can have positive or negative correlation with management performance for the entire company or venture business in specific industries, a definite overall trend cannot be identified. Third, R&D investment can be said to have an overall positive effect on corporate management performance. Fourth, the size of the research staff cannot be said to be a factor unilaterally affecting the management performance of the entire company or the venture business. Fifth, the number of years a research institute has been in operation, which was assumed to have a positive effect on the management performance of a company because of the accumulated R&D know-how -- definitely acts as a positive factor contributing to the management performance of a company.

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An Analytical Validation of the GenesWellTM BCT Multigene Prognostic Test in Patients with Early Breast Cancer (조기 유방암 환자를 위한 다지표 예후 예측 검사 GenesWellTM BCT의 분석적 성능 시험)

  • Kim, Jee-Eun;Kang, Byeong-il;Bae, Seung-Min;Han, Saebom;Jun, Areum;Han, Jinil;Cho, Min-ah;Choi, Yoon-La;Lee, Jong-Heun;Moon, Young-Ho
    • Korean Journal of Clinical Laboratory Science
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    • v.49 no.2
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    • pp.79-87
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    • 2017
  • GenesWell$^{TM}$ BCT is a 12-gene test suggesting the prognostic risk score (BCT Score) for distant metastasis within the first 10 years in early breast cancer patients with hormone receptor-positive, HER2-negative, and pN0~1 tumors. In this study, we validated the analytical performance of GenesWell$^{TM}$ BCT. Gene expression values were measured by a one-step, real-time qPCR, using RNA extracted from FFPE specimens of early breast cancer patients. Limit of Blank, Limit of Detection, and dynamic range for each of the 12 genes were assessed by serially diluted RNA pools. The analytical precision and specificity were evaluated by three different RNA samples representing low risk group, high risk group, and near-cutoff group in accordance with their BCT Scores. GenesWell$^{TM}$ BCT could detect gene expression of each of the 12 genes from less than $1ng/{\mu}L$ of RNA. Repeatability and reproducibility across multiple testing sites resulted in 100% and 98.3% consistencies of risk classification, respectively. Moreover, it was confirmed that the potential interference substances does not affect the risk classification of the test. The findings demonstrate that GenesWell$^{TM}$ BCT have high analytical performance with over 95% consistency for risk classification.

A Comparison on Detected Concentrations of LPG Leakage Distribution through Actual Gas Release, CFD (FLACS) and Calculation of Hazardous Areas (가스 누출 실험, CFD 및 거리산출 비교를 통한 LP가스 누출 검지농도 분포에 대한 고찰)

  • Kim, Jeong Hwan;Lee, Min-Kyeong
    • Applied Chemistry for Engineering
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    • v.32 no.1
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    • pp.102-109
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    • 2021
  • Recently, an interest in risk calculation methods has been increasing in Korea due to the establishment of classification code for explosive hazardous area on gas facility (KGS CODE GC101), which is based on the international standard of classification of areas - explosive gas atmospheres (IEC 60079-10-1). However, experiments to check for leaks of combustible or toxic gases are very difficult. These experiments can lead to fire, explosion, and toxic poisoning. Therefore, even if someone tries to provide a laboratory for this experiment, it is difficult to install a gas leakage equipment. In this study we find out differences among actual experiments, CFD by using FLACS and calculation based on classification code for explosive hazardous area on gas facility (KGS CODE GC101) by comparing to each other. We develpoed KGS HAC (hazardous area classification) program which based on KGS GC101 for convenience and popularization. As a result, actual gas leak, CFD and KGS HAC are showing slightly different results. The results of dispersion of 1.8 to 2.7 m were shown in the actual experiment, and the CFD and KGS HAC showed a linear increase of about 0.4 to 1 m depending on the increase in a flow rate. In the actual experiment, the application of 3/8" tubes and orifice to take into account the momentum drop resulted in an increase in the hazardous distance of about 1.95 m. Comparing three methods was able to identify similarities between real and CFD, and also similarities and limitations of CFD and KGS HAC. We hope these results will provide a good basis for future experiments and risk calculations.

Empirical Research on the R&D Investment and Performance of Venture Businesses (벤처기업의 R&D 투자와 성과에 관한 실증연구)

  • Lee, Dong-Ki;Lee, Cheol-Kyu;Kim, Jung-Hwan
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.3 no.1
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    • pp.1-28
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    • 2008
  • In this research, an empirical analysis was performed to determine the correlation between management performance and Empirical Research on the R&D investment for domestic venture businesses in each industry. Specifically, an empirical analysis for each industry was attempted not only to clarify the general hypothesis on the relationship between management performance and R&D investment for venture businesses but also to demonstrate that differences exist for each industry. Empirical analysis was conducted for eight industries with respect to the $2002{\sim}2006$ panel data extracted as investigative results from the "Investigation Report on Science and Technology R&D Activities" published by the Ministry of Science and Technology. Industrial classification was limited to the middle-level classification (2-digit) in the Korea Standard Industry Code (KSIC) owing to the limited number of panels. Although this research only verified the overall positive effect of R&D activities and funds for existing research on corporate value or productivity and management performance, it was able to document the difference for each individual industry and each business size unlike existing research. Furthermore, the reliability of the research results was enhanced by targeting companies that have been continuously conducting R&D and management activities using consistent 5-year panel data in the analysis. Again, this was something that existing research did not have. Finally, through the use of recent data from 2002 after the IMF economic crisis up to 2006 in the empirical analysis, this research proposed the problems due to the prevailing circumstances at the time of entering the advanced nation stage based on an empirical analysis; the prevailing problems during the pursuit of advanced nation status before the IMF crisis broke out were not tackled. The key empirical analysis yielded several results. First, capital and size of the labor force have a positive correlation with the management performance for the entire company or the venture business. This applies to all eight industries as the subjects of the analysis. Second, although the number of years since a company has been established can have positive or negative correlation with management performance for the entire company or venture business in specific industries, a definite overall trend cannot be identified. Third, R&D investment can be said to have an overall positive effect on corporate management performance. Fourth, the size of the research staff cannot be said to be a factor unilaterally affecting the management performance of the entire company or the venture business. Fifth, the number of years a research institute has been in operation, which was assumed to have a positive effect on the management performance of a company because of the accumulated R&D know-how -- definitely acts as a positive factor contributing to the management performance of a company.

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Classification of Pathological Voice from ARS using Neural Network (신경회로망을 이용한 ARS 장애음성의 식별에 관한 연구)

  • Jo, C.W.;Kim, K.I.;Kim, D.H.;Kwon, S.B.;Kim, K.R.;Kim, Y.J.;Jun, K.R.;Wang, S.G.
    • Speech Sciences
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    • v.8 no.2
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    • pp.61-71
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    • 2001
  • Speech material, which is collected from ARS(Automatic Response System), was analyzed and classified into disease and non-disease state. The material include 11 different kinds of diseases. Along with ARS speech, DAT(Digital Audio Tape) speech is collected in parallel to give the bench mark. To analyze speech material, analysis tools, which is developed local laboratory, are used to provide an improved and robust performance to the obtained parameters. To classify speech into disease and non-disease class, multi-layered neural network was used. Three different combinations of 3, 6, 12 parameters are tested to obtain the proper network size and to find the best performance. From the experiment, the classification rate of 92.5% was obtained.

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A Study on the Method of Measuring and Valuation of Technology Level in Public Large-Scale R&D Program (국가 대형 R&D 기술수준 측정 및 평가 방법 연구)

  • Sung, Oong-Hyun
    • Journal of Korea Technology Innovation Society
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    • v.15 no.2
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    • pp.461-479
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    • 2012
  • In this study, new evaluation perspective and analysis methodology are suggested to assess the technological level of new product produced by national large R&D program and applied to case analysis of the superconducting cable technology. Logical Procedures for the assessment of the technological level include essential technology classification, analysis of evaluation factors, structure and content of assessment items, presentation method of the analysis result. Variable with technological properties are employed to analyze the relative competitiveness subjectively. The principal component analysis are applied to measure the relative competitiveness in terms of size and position. Finally the combined results of technology and right evaluation show that the technology level of DAPAS superconducting cables lies somewhere between 96.11% and 101.76% compared with a global leader in technology. The result provides sufficient evidences that it secures technological edges over other competitors. Therefore it can be called as a globally leading technology. New evaluation perspective and analysis methodology suggested can be applied usefully to assess the technology level of public large-scale R&D program.

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