• Title/Summary/Keyword: R&D Networks

Search Result 318, Processing Time 0.026 seconds

Form-finding Analysis of Cable Networks Considering a Flexibility of the Structures for Mesh Reflector Antennas (구조 유연도를 고려한 메쉬 반사판 안테나의 케이블 네트워크 형상 설계)

  • Roh, Jin-Ho;Choi, Hye-Yoon;Jung, Hwa-Young;Kim, Hyo-Tae;Yun, Ji-Hyeon
    • Journal of Aerospace System Engineering
    • /
    • v.16 no.4
    • /
    • pp.68-76
    • /
    • 2022
  • The purpose of this paper was to design the cable networks for mesh reflector antennas, considering the flexibility of structures. An effective form-find methodology is proposed. The whole parts of the cable networks are described by the absolute nodal coordinate formulation. Additionally, nonlinear deformation of the cable can be obtained. The form-finding analysis of the reflector with standard configuration is performed, to validate the proposed methodology. The truss ring structure is numerically modeled using the frame elements. To consider the flexibility of the truss ring as well as the cable net structure, an iteration analysis between the truss ring and the cable net under tensional forces is also performed in the form-finding process. The finial configuration of the reflector with tensioned cable networks is demonstrated.

Characteristics of Technological Innovation and Methods for Innovation Capability in Daegu-Gyeongbuk's Mobile Industry (대구.경북 모바일산업의 기술혁신 특성 및 혁신역량 제고방안)

  • Jeon, Ji Hye;Lee, Chul Woo
    • Journal of the Korean association of regional geographers
    • /
    • v.20 no.1
    • /
    • pp.16-29
    • /
    • 2014
  • This study aims to suggest methods for improving innovation capability in Daegu-Gyeongbuk's mobile industry. Before offering suggestions, it analyzes the characteristics of technological innovation based on the mobile industry's value chain in Daegu-Gyeongbuk in relation to R&D workforce, R&D expenditures, and R&D networks. Support for R&D workforce in the Daegu-Gyeongbuk's mobile industry is concentrated in the mobile device and contents sectors. In addition, it is difficult for companies to finance R&D expenditures because most are SMEs, except for some large enterprises in the mobile device sector. R&D networks are structured mainly inside of companies, and linkages among universities, research institutes, and supporting institutes are weak in all sectors. To strengthen the innovation capability in Daegu-Gyeongbuk's mobile industry, therefore, human resource projects should be dispersed, and financial support should also be spread across value chain sectors rather than concentrated. Aside from this, a place for industry, academia, institutes, and government to build and enhance innovative networks should be created in all sectors.

  • PDF

An Evaluation Model for R&D in Mobile Convergence Era (이동통신 Convergence 시대에 있어 R&D 평가 모델)

  • Park, Bok-Nyong;Kim, Tae-Gue;Kwon, June-Hyuk
    • 한국정보통신설비학회:학술대회논문집
    • /
    • 2008.08a
    • /
    • pp.336-339
    • /
    • 2008
  • Convergence services are very important to mobile operators in next generation mobile networks. However, mobile operators cannot deal with all convergence services because there are numerous convergence services. Thus, they should select and develop main technologies to provide convergence services which are areas to grow our business. In this paper, we introduce basic technologies to provide convergence services and then present some evaluation models to select an important area and technology.

  • PDF

Networks and Innovative Performance of the Korean Manufacturing Firms

  • Sung, Tae-Kyung
    • Proceedings of the Technology Innovation Conference
    • /
    • 2005.08a
    • /
    • pp.5-28
    • /
    • 2005
  • This paper estimates the effect of networks on innovative performance at the firm level , using Korean Innovation Survey (KIS) dataset Product innovation, product improvement , and process innovation are used as proxies for innovative activity. The explanatory variables such as firm size, market concentration ratio, lagged profitability, foreign ownership, export ratio, firm's age, formal R&D activity, and industrial R&D intensity are yet other considerations. With two year-long (2000 and 2001) data from 1,124 Korean manufacturing firms, we estimated the logistic regression model. The research finding indicates that the external networks have a strong positive effect on innovative output regardless of type of innovation. However, the network effects by partner (other firms or research institutions) vary across the type of innovation. Especially, we found that the user-supplier linkage plays an important role in product ion innovation, product improvement, and process innovation.

  • PDF

Firm Size, Networks, and Innovation: Evidence from the Korean Manufacturing Firms (기업규모, 네트워크, 그리고 기술혁신: 우리나라 제조업에 대한 실증 분석)

  • 성태경
    • Journal of Technology Innovation
    • /
    • v.13 no.3
    • /
    • pp.77-100
    • /
    • 2005
  • This paper analyzes the determinants of firm's innovative activity, using Korean Innovation Survey (KIS) dataset. Especially, we focused on the role of external networks by partners(other firms or research institutions) in performing innovative activities. The product innovation, product improvement, and process innovation are used as proxies for innovative activity. The explanatory variables such as market concentration ratio, lagged profitability, foreign ownership, export ratio, firm's age, formal R&D activity, and industrial R&D intensity are also considered. With data from 1,124 firms for the two years (2000-2001), we estimated the logistic regression model. The finding is that the determinants of firm's innovative activities differ by type of innovations. We also found that the innovative behavior of SMEs differs from that of large firms. The result confirms that external networks have a strong positive effect on innovative activity. However, the network effects by partners vary across both firm size and type of innovations.

  • PDF

A Network-based Indexing Method for Trajectories of Moving Objects on Roads (도로 위에 존재하는 이동객체의 궤적에 대한 네트워크 기반의 색인 방법)

  • Kim, Kyoung-Sook;Li, Ki-Joune
    • The KIPS Transactions:PartD
    • /
    • v.13D no.7 s.110
    • /
    • pp.879-888
    • /
    • 2006
  • Recently many researchers have focused on management of Historical trajectories of moving objects in Euclidean spaces due to numerous sizes of accumulated data over time. However, the movement of moving objects in real applications generally has some constraints, for example vehicles on roads can only travel along connected road networks. In this paper, we propose an indexing method for trajectories of moving objects on road networks in order to process the network-based spatiotemporal range query. Our method contains the connect information of road networks to use the network distance for query processing, deals with trajectories which are represented by road segments in road networks, and manages them using multiple R-trees assigned per each road segment. Furthermore, it has a structure to be able to share R-tree among several road segments in large road networks. Consequently, we show that our method takes about 30% less in node accesses for the network-based spatiotemporal range query processing than other methods based on the Euclidean distance by experiments.

Analyzing Regional Innovation Network Differences and Influencing Factors: Focusing on Actors in National R&D Projects (지역별 혁신 네트워크의 차이와 영향요인 분석: 국가연구개발사업 참여 혁신주체의 관점에서)

  • Kim, Dongkwan;Nam, Taewoo
    • Journal of the Economic Geographical Society of Korea
    • /
    • v.24 no.3
    • /
    • pp.259-282
    • /
    • 2021
  • This study analyzes actor networks in regional innovation processes with a focus on actors' activities and finds the determinants of the networks, thereby aiming to provide information useful for regional innovation policy makers. To this end, the study conducted a social network analysis of the national R&D projects data and identified the activities of innovation actors. Finding out the network determinants was QAP analysis. The study suggests three main findings as follows. First, a meaningful difference exists in characteristics of innovation activity by region. Second, the network of innovation actors meaningfully differs from region to region. The centrality of the network was found to be high in universities and businesses in Seoul and Gyeonggi, and in public research institutes in Daejeon. There are regions where all the networks of innovative actors are composed of one component, while some regions are not yet established with the network. Finally, although the networks of innovation actors are influenced by the geographical proximity and the size of the R&D fund, it is notable that the previous continuous relationship forms a strong research network.

Technological Capability Building and Changes in R&D Networks in the Korean Automotive Industry (한국 자동차부품산업의 기술능력 형성과 연구개발 네트워크의 변화)

  • 심상완;이공래
    • Journal of Technology Innovation
    • /
    • v.8 no.1
    • /
    • pp.49-71
    • /
    • 2000
  • This paper looks at "network" aspects of research and development (R'||'&'||'D) with a special focus on small and medium (S'||'&'||'M) automotive part makers in Korea. It throws light on recent changes in the technological capability building mechanism of Korean automotive firms. The Korean automotive firms have mostly built up technological capability from scratch. It is widely acknowledged that they have benefited from two cooperative relations: namely (1) the close cooperative relationship with their own assemblers and (2) technical assistance from auto parts makers abroad. Too much emphasis on these two links can, however, keep us from understanding new developments. This paper argues that auto parts firms have diversified their networks for technological development. It is based on the analysis of the data drawn from the survey on technological development activities of small and medium sized firms, which was carried out by the Korea Federation of Small and Medium Business. Many automotive firms have recently increased joint R'||'&'||'D links with university and/or research institution while their reliance on foreign sources have decreased.

  • PDF

Visualizing Geographical Contexts in Social Networks

  • Lee, Yang-Won;Kim, Hyung-Joo
    • Spatial Information Research
    • /
    • v.14 no.4 s.39
    • /
    • pp.391-401
    • /
    • 2006
  • We propose a method for geographically enhanced representation of social networks and implement a Web-based 3D visualization of geographical contexts in social networks. A renovated social network graph is illustrated by using two key components: (i) GWCMs (geographically weighted centrality measures) that reflect the differences in interaction intensity and spatial proximity among nodes and (ii) MSNG (map-integrated social network graph) that incorporates the GWCMs and the geographically referenced arrangement of nodes on a choroplethic map. For the integrated 3D visualization of the renovated social network graph, we employ X3D (Extensible 3D), a standard 3D authoring tool for the Web. An experimental case study of regional R&D collaboration provides a visual clue to geographical contexts in social networks including how the social centralization relates to spatial centralization.

  • PDF

Estimation of Jamming Parameters based on Gaussian Kernel Function Networks (가우스 요소함수 망에 기초한 재밍 파라미터 추정)

  • Hwang, TaeHyun;Kil, Rhee Man;Lee, Hyun Ku;Kim, Jung Ho;Ko, Jae Heon;Jo, Jeil;Lee, Junghoon
    • Journal of the Korea Institute of Military Science and Technology
    • /
    • v.23 no.1
    • /
    • pp.1-10
    • /
    • 2020
  • Effective jamming in electronic warfare depends on proper jamming technique selection and jamming parameter estimation. For this purpose, this paper proposes a new method of estimating jamming parameters using Gaussian kernel function networks. In the proposed approach, a new method of determining the optimal structure and parameters of Gaussian kernel function networks is proposed. As a result, the proposed approach estimates the jamming parameters in a reliable manner and outperforms other methods such as the DNN(Deep Neural Network) and SVM(Support Vector Machine) estimation models.