• 제목/요약/키워드: Science & Technology Researchers

검색결과 1,199건 처리시간 0.028초

ON SEQUENCE OF FUNCTIONS

  • Salehbhai, Ibrahim A.;Prajapati, Jyotindra C.;Shukla, Ajay K.
    • 대한수학회논문집
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    • 제28권1호
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    • pp.123-134
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    • 2013
  • Operational techniques have drawn the attention of several researchers in the study of sequence of functions and polynomials. An attempt is made to introduce a new sequence of functions by using operational techniques. Some generating relations and finite summation formulae have been obtained. The corresponding MAPLE code for obtaining above sequence of functions for different values of parameters was also discussed.

Science-Related Attitudes of Korean Housewives

  • Kim, Heui-Baik;Min, Jin-Seon;Park, Jee-Young;Heo, Nam-Young;Song, Jin-Woong
    • 한국과학교육학회지
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    • 제24권1호
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    • pp.183-192
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    • 2004
  • The purpose of this research is to suggest the way to promote housewives' understanding of science and technology, based on the survey results of the attitude toward science and technology, the scientific attitude, and the interest in science and technology of housewives in Korea. The questionnaire was developed by researchers and administered to housewives who live in Seoul to get basic information. Housewives showed slightly positive attitudes toward science and technology, and similarly positive scientific attitudes. These scores were increased as monthly income and education level were raised. Housewives' interest of the science-technology related topics (foods, health, education, leisure, social issues, cooking, housing, everyday activity) was relatively high, and the interest of foods, health, education, and leisure was significantly correlated with the scores of housewives' attitude towards science and technology and their scientific attitudes. Housewives are shown to be curious to know these topics when they were asked by their children or do not know the terms appeared in media, or purchase home appliances and food. And they get the answers in a passive way by asking their family members or by watching TV or newspapers. They preferred TV program for enhancing their understanding of science. But such program could be proper to present science knowledge but not fulfill the role to promote scientific literacy. Specially designed programs through science centers or science museums would be suggested for their lifelong education.

Information Systems in Interdisciplinary Research: Analytic and Holistic Ways to Access Information Science Knowledge

  • Engerer, Volkmar P.
    • Journal of Information Science Theory and Practice
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    • 제7권2호
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    • pp.6-22
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    • 2019
  • The paper explores how information science knowledge can be used systematically in digital, interdisciplinary research settings and gives a conceptual analysis of the relationship between information science knowledge as donor and other research as receiver in an interdisciplinary project environment. The validity of the approach is demonstrated by the author's work on the project "The Primacy of Tense: A. N. Prior Now and Then." The study proposes a hybrid approach, combining analysis and synthesis. The analytical component identifies information systems, assigns an information system type to them, and accesses the information science knowledge associated with that type. The synthetic part focuses on the connections between information systems according to the receiver discipline's practices. The paper makes explicit the actions of experienced information professionals, thereby making their expertise accessible to others. The analytical and synthetic strategies are explained by linking them to two modes of researchers in the receiver discipline, how they act as researchers and what they know about it. The paper offers information professionals concrete assistance with identification of the appropriate strategy for accessing professional knowledge and taking appropriate actions and development decisions.

Fuzzy based Intelligent Expert Search for Knowledge Management Systems

  • Yang, Kun-Woo;Huh, Soon-Young
    • 지능정보연구
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    • 제9권2호
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    • pp.87-100
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    • 2003
  • In managing organizational tacit knowledge, recent researches have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise. In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user′s information needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To improve FAH, a text categorization approach called Vector Space Model is utilized. To test applicability and practicality of the proposed framework, the prototype system, "Knowledge Portal for Researchers in Science and Technology" sponsored by the Ministry of Science and Technology (MOST) of Korea, was developed.

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내시경 로봇을 위한 웜구동 방사형 이동메커니즘 (Radial Type Locomotive Mechanism with Worm for Robotic Endoscope)

  • 김경대;이승학;김병규;박종오
    • 제어로봇시스템학회논문지
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    • 제8권3호
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    • pp.220-225
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    • 2002
  • In this paper, we suggest a new locomotive mechanism fur self-propelling robotic endoscope which could substitute conventional endoscope. Many researchers proposed inchworm-like mechanism for self-propelling robotic endoscope. But it could not be commercialized because they did not solve the limitation caused by clamping. Therefore, we suggest a new radial-type locomotive mechanism with worm. It can propel itself in any situation and take passive-steering because of radial type. In addition, it can be miniaturized with worm. In this paper, we evaluate the mechanism in the dead pig colon as well as under various environments, and verify the performance fur robotic endoscope.

Atomic Resolution Imaging of Rotated Bilayer Graphene Sheets Using a Low kV Aberration-corrected Transmission Electron Microscope

  • Ryu, Gyeong Hee;Park, Hyo Ju;Kim, Na Yeon;Lee, Zonghoon
    • Applied Microscopy
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    • 제42권4호
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    • pp.218-222
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    • 2012
  • Modern aberration-corrected transmission electron microscope (TEM) with appropriate electron beam energy is able to achieve atomic resolution imaging of single and bilayer graphene sheets. Especially, atomic configuration of bilayer graphene with a rotation angle can be identified from the direct imaging and phase reconstructed imaging since atomic resolution Moir$\acute{e}$ pattern can be obtained successfully at atomic scale using an aberration-corrected TEM. This study boosts a reliable stacking order analysis, which is required for synthesized or artificially prepared multilayer graphene, and lets graphene researchers utilize the information of atomic configuration of stacked graphene layers readily.

Fuzzy-based Intelligent Expert Search for Knowledge Management Systems

  • Yang, Kun-woo;Huh, Soon-young
    • 한국산학기술학회:학술대회논문집
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    • 한국산학기술학회 2003년도 Proceeding
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    • pp.73-79
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    • 2003
  • In managing organizational tacit knowledge, recent researches have shown that it is more applicable in many ways to provide expert search mechanisms in KMS to pinpoint experts in the organizations with searched expertise. In this paper, we propose an intelligent expert search framework to provide search capabilities for experts in similar or related fields according to the user's information needs. In enabling intelligent expert searches, Fuzzy Abstraction Hierarchy (FAH) framework has been adopted, through which finding experts with similar or related expertise is possible according to the subject field hierarchy defined in the system. To improve FAH, a text categorization approach called Vector Space Model is utilized. To test applicability and practicality of the proposed framework, the prototype system, "Knowledge Portal for Researchers in Science and Technology" sponsored by the Ministry of Science and Technology (MOST) of Korea, was developed.

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Large-Scale Graphene Production Techniques for Practical Applications

  • Bae, Sukang;Lee, Seoung-Ki;Park, Min
    • Applied Science and Convergence Technology
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    • 제27권5호
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    • pp.79-85
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    • 2018
  • Many studies have been conducted on large-scale graphene synthesis by chemical vapor deposition. Furthermore, numerous researchers have attempted to develop processes that can continuously fabricate uniform and high-quality graphene. To compete with other types of carbon materials (carbon black, carbon fiber, carbon nanotubes, and so on), various factors, such as price, mass manufacturing capability, and quality, are crucial. Thus, in this study, we examine various large-scale graphene production methods focusing on cost competitiveness and productivity improvements for applications in various fields.

A quantitative measurement of concrete air content using image analyses

  • Hwang, C.L.;Peng, S.S.;Wang, E.;Lin, S.H.;Huang, S.L.
    • Computers and Concrete
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    • 제7권3호
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    • pp.239-247
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    • 2010
  • A proposed topology method is introduced to measure the air content of fresh cement paste and hardened concrete. The method takes advantage of chromatographic analysis in void areas that are highlighted using different color schemes and later calculated using built-in computer software. The air content measured by the topology method is compared with results obtained from the conventional ASTM methods. It is concluded that the proposed method is reliable, and costs less and is easier to operate compared with the ASTM methods. In addition, 3 dimensional pore models can be created using image post-processing techniques. The proposed method helps researchers in understanding the formation and existence of concrete pores. This paper reports a detailed test program demonstrating the standard operating procedure used for the proposed method and presents a comparison of results between the proposed method and conventional ASTM Specifications. It is also concluded that the air content increases with increasing size of pores and increasing percentage of coarse aggregates.

Detection and Recognition of Vehicle License Plates using Deep Learning in Video Surveillance

  • Farooq, Muhammad Umer;Ahmed, Saad;Latif, Mustafa;Jawaid, Danish;Khan, Muhammad Zofeen;Khan, Yahya
    • International Journal of Computer Science & Network Security
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    • 제22권11호
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    • pp.121-126
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    • 2022
  • The number of vehicles has increased exponentially over the past 20 years due to technological advancements. It is becoming almost impossible to manually control and manage the traffic in a city like Karachi. Without license plate recognition, traffic management is impossible. The Framework for License Plate Detection & Recognition to overcome these issues is proposed. License Plate Detection & Recognition is primarily performed in two steps. The first step is to accurately detect the license plate in the given image, and the second step is to successfully read and recognize each character of that license plate. Some of the most common algorithms used in the past are based on colour, texture, edge-detection and template matching. Nowadays, many researchers are proposing methods based on deep learning. This research proposes a framework for License Plate Detection & Recognition using a custom YOLOv5 Object Detector, image segmentation techniques, and Tesseract's optical character recognition OCR. The accuracy of this framework is 0.89.