• Title/Summary/Keyword: Technology-oriented

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An Analysis on the Research Network Structure of Convergence Technologies in Government-sponsored Research Institutes (출연연구기관 융합기술 연구네트워크 구조 분석)

  • Kim, Hongyoung;Chung, Sunyang
    • Journal of Korea Technology Innovation Society
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    • v.18 no.4
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    • pp.693-718
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    • 2015
  • This paper examines the presence of network structures among convergence technologies focusing on national R&D projects performed by GRIs(Government-sponsored Research Institutes) in Korea. The dataset of convergence technology projects, which were conducted by 24 GRIs over 3 years (2011-2013), are analysed using the network analysis method. In this paper, a convergence technology project is defined as a project that consists of 2 or more then 2 technologies according to the intermediate classification of National Standard Classification of S&T. The research results confirm that convergence researches of government-sponsored research institutes are performed more actively than the entire convergence researches of national R&D projects. Furthermore, technological fields of GRIs' convergence projects are found to be much more varied. This paper also shows that in-house researches are more active than collaborative ones with external organizations. According to the network centrality analysis, it is identified that the network central characteristics of convergence technologies can be classified into internally oriented technologies and externally oriented technologies. Convergence technologies do not just mean simple mixture of different technologies. Therefore Korean government-sponsored research institutes should make more efforts to create convergence research areas which could generate new technologies and industries more effectively than simple multidisciplinary technology researches. From this perspective, some policy suggestions can be derived on the role of government-sponsored research institutes for activating convergence researches through the analysis of status of convergence researches and networks of institutions.

Structural, electrical and optical properties of Al-doped ZnO thin films by pulsed DC magnetron sputtering

  • Ko, Hyung-Duk;Lee, Choong-Sun;Kim, Ki-Chul;Lee, Jae-Seok;Tai, Weon-Pil;Suh, Su-Jeong;Kim, Young-Sung
    • Journal of the Korean Crystal Growth and Crystal Technology
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    • v.14 no.4
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    • pp.145-150
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    • 2004
  • We have investigated the structural, electrical and optical properties of Al-doped ZnO (AZO) thin films grown on glass substrate by pulsed DC magnetron sputtering as functions of pulse frequency and substrate temperature. A highly c-axis oriented AZO thin film is grown in perpendicular to the substrate when pulse frequency of 30 kHz and substrate temperature of $400^{\circ}C$ was applied. Under this optimized growth condition, the resistivity of AZO thin films exhibited $7.40\times 10^{-4}\Omega \textrm{cm}$. This indicated that the decrease of film resistivity resulted from the improvement of film crystallinity. The optical transmittance spectra of the films showed a very high transmittance of 85∼90 % in the visible wavelength region and exhibited the absorption edge of about 350 nm. The results show the potential application for transparent conductivity oxide (TCO) thin films.

Video smoke detection with block DNCNN and visual change image

  • Liu, Tong;Cheng, Jianghua;Yuan, Zhimin;Hua, Honghu;Zhao, Kangcheng
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.14 no.9
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    • pp.3712-3729
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    • 2020
  • Smoke detection is helpful for early fire detection. With its large coverage area and low cost, vision-based smoke detection technology is the main research direction of outdoor smoke detection. We propose a two-stage smoke detection method combined with block Deep Normalization and Convolutional Neural Network (DNCNN) and visual change image. In the first stage, each suspected smoke region is detected from each frame of the images by using block DNCNN. According to the physical characteristics of smoke diffusion, a concept of visual change image is put forward in this paper, which is constructed by the video motion change state of the suspected smoke regions, and can describe the physical diffusion characteristics of smoke in the time and space domains. In the second stage, the Support Vector Machine (SVM) classifier is used to classify the Histogram of Oriented Gradients (HOG) features of visual change images of the suspected smoke regions, in this way to reduce the false alarm caused by the smoke-like objects such as cloud and fog. Simulation experiments are carried out on two public datasets of smoke. Results show that the accuracy and recall rate of smoke detection are high, and the false alarm rate is much lower than that of other comparison methods.

Development on the Curriculum of the Department of Semiconductor Technology in Ulsan College (전문대학 반도체 응용과 교육과정 개발)

  • Park, Hyo-Yeol;Kim, Keun-Joo
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.37 no.4
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    • pp.35-46
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    • 2000
  • Semiconductor technology includes from semiconductor materials, design, fabrication, handling of process equipments, reliability test to packaged semiconductor devices. Our departmental curriculum is organized with 2-years/6-quarters system of Ulsan College: the understanding for the fundamental of semiconductor is carried out in the first academic year and the training for the design skill on semiconductor devices will be focused in the second academic year. The main focus is reflected on the worldwide trend on the design engineering of semiconductor devices and considered for the market establishment on design engineers trained by the lab-oriented practice as well as the fundamental of semiconductor technology.

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A Study on Predicting Bankruptcy Discriminant Model for Small-Sized Venture Firms using Technology Evaluation Data (기술력평가 자료를 이용한 중소벤처기업 파산예측 판별모형에 관한 연구)

  • Sung Oong-Hyun
    • Journal of Korea Technology Innovation Society
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    • v.9 no.2
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    • pp.304-324
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    • 2006
  • There were considerable researches by finance people trying to find out business ratios as predictors of corporate bankruptcy. However, such financial ratios usually lack theoretical justification to predict bankruptcy for technology-oriented small sized venture firms. This study proposes a bankruptcy predictive discriminant model using technology evaluation data instead of financial data, evaluates the model fit by the correct classification rate, cross-validation method and M-P-P method. The results indicate that linear discriminant model was found to be more appropriate model than the logistic discriminant model and 69% of original grouped data were correctly classified while 67% of future data were expected to be classified correctly.

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A Zero Voltage Switching Phase Shift Full Bridge Converter with Separated Primary Winding

  • Kim, Young-Do;Kim, Chong-Eun;Cho, Kyu-Min;Park, Ki-Bum;Cho, In-Ho;Moon, Gun-Woo
    • Proceedings of the KIPE Conference
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    • 2008.06a
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    • pp.379-381
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    • 2008
  • Generally additional leakage inductance and two clamp diodes are adopted into the conventional phase shift full bridge (PSFB) converter for reducing the voltage stress of secondary rectifier diodes and extending the range of zero voltage switching (ZVS) operation. However, since additional leakage inductance carries the ac current similar to the primary one, the core and copper loss oriented from additional leakage inductance can be high enough to decrease the whole efficiency of DC/DC converter. Therefore, in this paper, a new ZVS phase shift full bridge converter with separated primary winding (SPW) is proposed. Proposed converter makes the transformer and additional leakage inductor with one ferrite core. Using this method, leakage inductance is controlled by the winding ratio of separated primary winding. Moreover, by manufacturing the both magnetic components with one core, size and core loss can be reduced and it turns out the improvement of efficiency and power density of DC/DC converter. The operational principle of proposed converter is analyzed and verified by the 1.2kW prototype.

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4P Model for Strategic Research Planning: Focusing on the Cases of Korea Research Institute of Chemical Technology

  • Choi, Kyungsun;Choe, Hochull;Ko, Youngjoo
    • Asian Journal of Innovation and Policy
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    • v.7 no.2
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    • pp.287-309
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    • 2018
  • The demand for efficient utilization of input resources and productive outcomes is increasing as the government's R&D investments in Government-funded research institutes (GRIs) expand. These changes call for improving research-planning activities, which are defined as a set of activities wherein objectives are established, strategies for acquisition and expenditures of research resources are devised, and utilizations of research outcomes are addressed. This study introduces the integrated 4P analysis model that identifies the relationships among patents, papers, products, and projects. It looks into 4P analysis structure and its efficiency as a research planning means through case studies of the Korea Research Institute of Chemical Technology. This study introduces 4P analysis applied to KRICT, which can be utilized for outcome-oriented research planning of GRIs. At the same time, it investigates into the benefits and implications of 4P analysis. It proffers policy suggestions on such aspects as how research planning of GRIs should go through changes in a strategic and systematic way.

Evolutionary Design of Fuzzy Classifiers for Human Detection Using Intersection Points and Confusion Matrix (교차점과 오차행렬을 이용한 사람 검출용 퍼지 분류기 진화 설계)

  • Lee, Joon-Yong;Park, So-Youn;Choi, Byung-Suk;Shin, Seung-Yong;Lee, Ju-Jang
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.8
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    • pp.761-765
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    • 2010
  • This paper presents the design of optimal fuzzy classifier for human detection by using genetic algorithms, one of the best-known meta-heuristic search methods. For this purpose, encoding scheme to search the optimal sequential intersection points between adjacent fuzzy membership functions is originally presented for the fuzzy classifier design for HOG (Histograms of Oriented Gradient) descriptors. The intersection points are sequentially encoded in the proposed encoding scheme to reduce the redundancy of search space occurred in the combinational problem. Furthermore, the fitness function is modified with the true-positive and true-negative of the confusion matrix instead of the total success rate. Experimental results show that the two proposed approaches give superior performance in HOG datasets.

Developing Network Infrastructure and Smart Service for Safety Management of City-gas Facilities (도시가스 시설 안전관리를 위한 네트워크 인프라 및 지능형 서비스 구축)

  • Oh, Jeong-Seok;Sung, Jong-Gyu;Kim, Young-Dae
    • Journal of the Korean Institute of Gas
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    • v.15 no.1
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    • pp.46-53
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    • 2011
  • The information technology paradigm has been shift to smart service environment, as ubiquitous technology is used in the latest industry trend. The convergency between industry facilities and ubiquitous technologies accelerate related studies and technologies because of increasing accident prevention and decreasing cost. However, ubiquitous technologies are not used to life environment and industry facilities, because those technologies did not consider industry domain characteristics by means of developing IT technology for common environment until now. This paper aims to develop wireless city gas safety management system, which provide efficient service, and establish the field oriented wireless data transmission infrastructure in order to use ubiquitous technology to city gas facilities.

A Study on Developing Competency Model of Techno Leadership (기술리더십 역량모델 개발에 관한 연구 : IT기업 사례를 중심으로)

  • Park, Bum Joo;Lee, Hae Jun;Shin, Wan Seon
    • Korean Management Science Review
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    • v.32 no.2
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    • pp.1-14
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    • 2015
  • The importance of technical innovation is increasing gradually in accordance with the life cycle of technology being shortened and the convergence being accelerate. This thesis aims to present the Framework of Competency Model of Techno Leadership capable of utilizing in promoting R&D (Research and Development) Leaders systematically by the technology based enterprise. The characteristic of core behavior necessary for Techno Leaders has been sorted out through the literature investigation and the analysis course of meaning, etc., the competency model of Techno Leadership has been deducted by analyzing the relation with MOT (Management of Technology) capacity being common skill of task necessary for Techno Leaders and the characteristic of behavior based on this through the questionnaire survey. The possibility of application in the field as well has been verified by applying the developed competency model in the actual field of enterprise. The competency model of techno Leadership developed in this research may be utilized in the direction establishment for the promotion of Techno Leadership in the enterprise or laboratory, especially, if would be effective to self-diagnose the core competency necessary for R&D manpower to be grown as the Techno leader in the IT oriented enterprise and to establish the improvement direction.