• Title/Summary/Keyword: R&D networks

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Promoting Networks of Commercializing R&D: A Case Study on Technology-intensive Firms of Daeduck Research Complex, Korea (연구개발성과의 산업화를 위한 네트워크 활성화 방안: 대덕연구단지의 기술집약적 벤처기업을 중심으로)

  • 신동호
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2003.05a
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    • pp.313-335
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    • 2003
  • It has been thirty years since Daedeuk Science Park was established in Daejeon, Korea. The Park has grown to be a national center for scientific activities, hosting more thirty research institutes at major scale with 12,000 scientists. As a main purpose of establishing the science park was to promote sciences as basic research, there have not been much economic impacts created from the science park. There have also been very little networks established among research and educational institutes within the science park and the city of Daejeon in general. After the economic crisis in 1997, however, there have been increasing changes around the Park. Since then more than 400 technology-intensive firms were newly created, mainly from the research institutes, or introduced to the Park area. This paper analyzes R&D networks of these small firms, especially with research institutes and universities, based on a questionnaire survey. The paper has argued: 1) to establish technology transfer centers, 2) to emphasize research related to commercialization, 3) to intensify advertizement of research outputs to the potential entrepreneurs, 4) to assist entrepreneural associations of concerned companies.

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Self-Organized Ditributed Networks as Identifier of Nonlinear Systems (비선형 시스템 식별기로서의 자율분산 신경망)

  • Choi, Jong-Soo;Kim, Hyong-Suk;Kim, Sung-Joong;Choi, Chang-Ho
    • Proceedings of the KIEE Conference
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    • 1995.07b
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    • pp.804-806
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    • 1995
  • This paper discusses Self-organized Distributed Networks(SODN) as identifier of nonlinear dynamical systems. The structure of system identification employs series-parallel model. The identification procedure is based on a discrete-time formulation. The learning with the proposed SODN is fast and precise. Such properties arc caused from the local learning mechanism. Each local networks learns only data in a subregion. Large number of memory requirements and low generalization capability for the untrained region, which are drawbacks of conventional local network learning, are overcomed in the SODN. Through extensive simulation, SODN is shown to be effective for identification of nonlinear dynamical systems.

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A Hybrid Adaptive Security Framework for IEEE 802.15.4-based Wireless Sensor Networks

  • Shon, Tae-Shik;Park, Yong-Suk
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.3 no.6
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    • pp.597-611
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    • 2009
  • With the advent of ubiquitous computing society, many advanced technologies have enabled wireless sensor networks which consist of small sensor nodes. However, the sensor nodes have limited computing resources such as small size memory, low battery life, short transmission range, and low computational capabilities. Thus, decreasing energy consumption is one of the most significant issues in wireless sensor networks. In addition, numerous applications for wireless sensor networks are recently spreading to various fields (health-care, surveillance, location tracking, unmanned monitoring, nuclear reactor control, crop harvesting control, u-city, building automation etc.). For many of them, supporting security functionalities is an indispensable feature. Especially in case wireless sensor networks should provide a sufficient variety of security functions, sensor nodes are required to have more powerful performance and more energy demanding features. In other words, simultaneously providing security features and saving energy faces a trade-off problem. This paper presents a novel energy-efficient security architecture in an IEEE 802.15.4-based wireless sensor network called the Hybrid Adaptive Security (HAS) framework in order to resolve the trade off issue between security and energy. Moreover, we present a performance analysis based on the experimental results and a real implementation model in order to verify the proposed approach.

Multi-query Indexing Technique for Efficient Query Processing on Stream Data in Sensor Networks (센서 네트워크에서 스트림 데이터 질의의 효율적인 처리를 위한 다중 질의 색인 기법)

  • Lee, Min-Soo;Kim, Yearn-Jeong;Yoon, Hye-Jung
    • Journal of Korea Multimedia Society
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    • v.10 no.11
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    • pp.1367-1383
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    • 2007
  • A sensor network consists of a network of sensors that can perform computation and also communicate with each other through wireless communication. Some important characteristics of sensor networks are that the network should be self administered and the power efficiency should be greatly considered due to the fact that it uses battery power. In sensor networks, when large amounts of various stream data is produced and multiple queries need to be processed simultaneously, the power efficiency should be maximized. This work proposes a technique to create an index on multiple monitoring queries so that the multi-query processing performance could be increased and the memory and power could be efficiently used. The proposed SMILE tree modifies and combines the ideas of spatial indexing techniques such as k-d trees and R+-trees. The k-d tree can divide the dimensions at each level, while the R+-tree improves the R-tree by dividing the space into a hierarchical manner and reduces the overlapping areas. By applying the SMILE tree on multiple queries and using it on stream data in sensor networks, the response time for finding an indexed query takes in some cases 50% of the time taken for a linear search to find the query.

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Identifying Interdisciplinarity of Korean National R&D Using Patent CoIPC Network Analysis (한국 국가 R&D의 학제적 특성 분석 - 특허 공동IPC 연결망 분석의 활용 -)

  • Park, Hyunseok;Seo, Wonchul;Yoon, Janghyeok
    • Journal of the Korean Society for Library and Information Science
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    • v.46 no.4
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    • pp.99-117
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    • 2012
  • This paper proposes a method of using national R&D patents' CoIPC networks to identify interdisciplinary trends of technology areas related to Korean national R&D. While previous research analyzed interdisciplinarity of national R&D with simple bibliometric descriptions, this research uses the network-based indexes to analyze its interdisciplinarity from the viewpoints of interdisciplinary "diversity of coupling" and "strength of coupling". In this research, this proposed method was used to form a R&D CoIPC network from the Korean national R&D patents registered from 2007 to 2010. It is expected that the proposed method can be incorporated into a system for a national R&D trend analysis, and used to identify the issues of technology convergence in national R&D and formulate its related research policies.

Disfunctional Factors of R&D Information Retrieval Utilization: the Case of Environmental Science Database & Networks (환경.에너지 과학 R&D 정보 역기능 요인 분석: 디지털 네트워크 정보검색(NIR) 환경 적응사례)

  • 유사라
    • Journal of the Korean Society for information Management
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    • v.19 no.2
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    • pp.5-29
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    • 2002
  • This study explored the Dis-Functional(DF) factors associated with the information and utilization of the R&D outcomes which has been left behind in the environmental & energy science research field. Of the total of 225 sample surveyed, exactly 66.2% responded to the questions about DF factors. The major factors that have been experienced by the respondents included the followings : the shortage of manpower and budget, inadequate network utilities of resource sharing, unstable policies of digitalization of R&D databases and of presenting a specimen copy(not only report itself but also experimental data), deficient knowledge resource system for the specialized sub-research areas, absence of the process of TLO and commercialization of R&D results, and underestimation of the significance of quality control (evaluation) of academic and research information. Some recommendations for utilization of the R&D outcomes were suggested according to the DF factors investigated.

A study on the Fuzzy Recurrent Neural Networks for the image noise elimination filter (영상 잡음 제거 필터를 위한 퍼지 순환 신경망 연구)

  • Byun, Oh-Sung
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.6
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    • pp.61-70
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    • 2011
  • In this paper, it is realized an image filter for a noise elimination using a recurrent neural networks with fuzzy. The proposed fuzzy neural networks structure is to converge weights and the number of iteration for a certain value by using basically recurrent neural networks structure and is simplified computation and complexity of mathematics by applying the hybrid fuzzy membership function operator. In this paper, the proposed method, the recurrent neural networks applying fuzzy which is collected a certain value, has been proved improving average 0.38dB than the conventional method, the generalied recurrent neural networks, by using PSNR. Also, a result image of the proposed method was similar to the original image than a result image of the conventional method by comparing to visual images.

Trends of 3D R&D Policy in Japan (일본의 3D 연구개발 정책동향)

  • Kim, P.R.
    • Electronics and Telecommunications Trends
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    • v.27 no.2
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    • pp.149-157
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    • 2012
  • 최근까지 정체 국면에 있던 3D 산업이 2012년부터는 런던 올림픽과 여수 EXPO 등 글로벌 이벤트 발생으로 관련 산업이 활성화될 것으로 전망되고 있다. BBC 등 글로벌 미디어들도 3D 방송을 본격화할 예정이어서 3D 콘텐츠 시장이 국내외적으로 급성장할 것으로 기대된다. 우리나라는 아직까지 3D 산업이 초기 시장이기 때문에 향후 3D 산업을 육성 발전시키기 위해서는 정부의 역할이 중요하다고 할 수 있다. 본고의 목적은 정부 주도로 연구개발을 수행하면서 3D 연구개발 분야에서 세계를 선도하고 있는 일본의 3D 연구개발 정책동향을 살펴보고, 우리나라에 주는 시사점을 발굴하는 것이다. 이러한 목적을 달성하기 위하여 본고에서는 'UNS(Universal Communications, New Generation Networks, Security and Safety for the Ubiquitous Network Society) 전략 프로그램 II'를 중심으로 일본의 3D 기술개발 관련 주요 전략을 살펴 보았으며, 3D 기술개발을 위한 R&D 조직인 NICT(National Institute of Information and Communication Technology) 및 URCF(Ultra-Realistic Communications Forum)의 역할을 소개하는 한편, 일본의 3차원 영상기술에 의한 초현장감 커뮤니케이션 기술개발의 현황과 전망을 고찰하였다.

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Power-Aware Query Processing Using Optimized Distributed R-tree in Sensor Networks (센서 네트워크 환경에서 최적화된 분산 R-tree를 이용한 에너지 인식 질의 처리 방법)

  • Pandey Suraj;Eo Sang-Hun;Kim Ho-Seok;Bae Hae-Young
    • The KIPS Transactions:PartD
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    • v.13D no.1 s.104
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    • pp.23-28
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    • 2006
  • In this paper, a power-aware query processing using optimized distributed R-tree in a sensor network is proposed. The proposed technique is a new approach for processing range queries that uses spatial indexing. Range queries are most often encountered under sensor networks for computing aggregation values. The previous work just addressed the importance but didn't provide any efficient technique for processing range queries. A query processing scheme is thus designed for efficiently processing them. Each node in the sensor network has the MBR of the region where its children nodes and the node itself are located. The range query is evaluated over the region which intersects the geographic location of sensors. It ensures the maximum power savings by avoiding the communication of nodes not participating over the evaluation of the query.