• Title/Summary/Keyword: State-of-the-Art Technology

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Case Study on Measuring Technology Level Applying Growth Curve Model: Three Core Areas of Fishery Science and Technology (성장곡선 모형 적용을 통한 기술수준평가 사례 연구 : 특정 수산과학기술 분야를 중심으로)

  • Kim, Wan-Min;Park, Ju-Chan;Bark, Pyeng-Mu
    • The Journal of Fisheries Business Administration
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    • v.46 no.3
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    • pp.103-118
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    • 2015
  • The purpose of this paper is to discuss possibilities of applying growth curve models, such as Logistic, Log-Logistic, Log-Normal, Gompertz and Weibull, to three specific technology areas of Fishery Science and Technology in the process of measuring their technology level between Korea and countries with the state-of-the art level. Technology areas of hazard control of organism, environment restoration, and fish cluster detect were selected for this study. Expert panel survey was conducted to construct relevant panel data for years of 2013, 2016, and a future time of approaching the theoretical maximum technology level. The size of data was 70, 70 and 40 respectively. First finding is that estimation of shape and location parameters of each model was statistically significant, and lack-of-fit test using estimated parameters was statistically rejected for each model, meaning all models were good enough to apply for measuring technology levels. Second, three models other than Pearl and Gompertz seemed very appropriate to apply despite the fact that previous case studies have used only Gompertz and Pearl. This study suggests that Weibull model would be a very valid candidate for the purpose. Third, fish cluster detect technology level is relatively higher for both Korea and a country with the state-of-the-art among three areas as of 2013. However, all three areas seem to be approaching their limits(highest technology level point) until 2020 for countries with the state-of-the-art. This implies that Korea might have to speed up her research activities in order to catch up them prior to 2020. Final suggestion is that future study may better apply various and more appropriate models respectively considering each technology characteristics and other factors.

A Study on the State of Art and International Cooperation in the Field of Mechanical Engineering by Delphi Method (Delphi기법에 의한 기계공학기술의 수준평가 및 국제 기술협력기반에 관한 연구)

  • 권영주
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1996.04a
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    • pp.169-175
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    • 1996
  • We provide a fudamental set of information on technologies in the area of mechanical engineering to draw action plans for intermationalization of the National R&D activites. First, we design and use a modified Delphi method to evaluate levels of our technological capabilities and developed countries' as well. We investigate technology acquistion methodolgies, technology characteristcs and various aspects of international cooperation in terms of technology. Secondly, we analyze final responses of participants (i.e,. the third round results of Delphi method) tosee the correlation between various factors in developing mechanical engineering technologies through international cooperation. The technology classification used in this research is developed by STEPI (Science and Technology Policy Institute).

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Media Improvisation of Lecturers in the State-Owned Colleges of Education in the South-West, Nigeria

  • Ogunwuyi, Babatunde Oyeyemi;Adenike, Omoike
    • International Journal of Knowledge Content Development & Technology
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    • v.12 no.3
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    • pp.7-17
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    • 2022
  • Media improvisation among lecturers in colleges is inevitable because of insufficient media resources for utilization. The study investigated media improvisation in the state -owned colleges of education in the South-West, Nigeria. The study is anchored on Media Richness Theory. Stratified sampling technique was adopted to select 812 lecturers. Media improvisation scale (r = .71) was used for data collection and T-test statistical method was adopted for data analysis. The result showed that there was no significant differences between media improvisation of Art/Social Science and Science lecturers (Crit - t = 1.96, Cal. t = 821, df = 278, p>.05) and that of lecturers in the School of Art/Social Sciences and Vocational/Technical Education (Crit. t = 1.96, Cal. t = .136, df = 276, p>.05). Significant difference did not exit between that of the Schools of Languages and Education (Crit. t = 1.96, Cal. t = 1.946, dif. = 288 p<.05) . It is recommended that media improvisation of lecturers in schools should be encouraged and improved upon.

The Features of Ukrainian Media Art in a Global Context

  • Hridyayeva, Tamara O.;Kohut, Volodymyr O.;Tokar, Maryna I.;Stanychnov, Oleg O.;Helytovych, Andrii A.
    • International Journal of Computer Science & Network Security
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    • v.21 no.4
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    • pp.229-240
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    • 2021
  • The article seeks to explore Ukrainian media art and its features in a global context. In particular, it performs an in-depth analysis of the stages of its development from video art of the 1990s, media installations of the 2000s, and to various digital and VR technologies today. Due to historical circumstances, the development of media art was quite rapid, as young artists sought to gain new experience in media art. Most often, their experience was broadened through international cooperation and studying abroad. The paper analyzes the presentation of Ukrainian media art outside the country during 1993-2020 and distinguishes the main thematic areas of the artists' work. It examines how artists present and reveal the peculiarities of the Ukrainian worldview, aesthetics, and culture through the problematization of certain aspects and themes in their work. Specifically, among the principal topics which are problematized in the work of media artists are a sensory experience, limited sensory capabilities, gender issues, the Chernobyl tragedy, the development of utopian models of the city, and global communication. The leading themes of Ukrainian artists also include revolution and war. Notably, political and social sentiments determine the unique energy and vitality of contemporary Ukrainian art, create a revolutionary creative environment, and unite media artists in group art projects. It is concluded that by showing, exhibiting, and presenting them outside the country, artists shape the image of Ukrainian art in a global context.

The State of the Art in BIPV Technology (건물일체형 태양광 발전 (BIPV) 기술 동향)

  • Yoon, Jong-Ho
    • Journal of the Korean Institute of Electrical and Electronic Material Engineers
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    • v.27 no.1
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    • pp.1-7
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    • 2014
  • The current downturn of BIPV sector has an enormous potential to rebound and expand into the PV sector for construction market in the foreseeable future. Solar technology has already gained a significant market due to lack of natural resources in the Korean domestic market. Given the technical infrastructure of state-of-the-art fusion technology, the competitiveness of software-driven BIPV market in the world can be ver attractive and have the potential to develop as a key national technology. To do this, from the viewpoint of complexity, technical R&D, national political aspect, social aspect, economic aspect and institutional support systems need to be parallelly formulated. A dedicated BIPV sector has not yet been established, especially policy and institutional framework have very crucial impact on the establishment of BIPV sector.

Real-Time License Plate Detection in High-Resolution Videos Using Fastest Available Cascade Classifier and Core Patterns

  • Han, Byung-Gil;Lee, Jong Taek;Lim, Kil-Taek;Chung, Yunsu
    • ETRI Journal
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    • v.37 no.2
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    • pp.251-261
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    • 2015
  • We present a novel method for real-time automatic license plate detection in high-resolution videos. Although there have been extensive studies of license plate detection since the 1970s, the suggested approaches resulting from such studies have difficulties in processing high-resolution imagery in real-time. Herein, we propose a novel cascade structure, the fastest classifier available, by rejecting false positives most efficiently. Furthermore, we train the classifier using the core patterns of various types of license plates, improving both the computation load and the accuracy of license plate detection. To show its superiority, our approach is compared with other state-of-the-art approaches. In addition, we collected 20,000 images including license plates from real traffic scenes for comprehensive experiments. The results show that our proposed approach significantly reduces the computational load in comparison to the other state-of-the-art approaches, with comparable performance accuracy.