• 제목/요약/키워드: infrastructure-based

검색결과 4,280건 처리시간 0.032초

초고속 통신망의 번호 체계에 관한 연구 (A Study on the Numbering Plan for National Information Infrastructure)

  • 황건;김용진;최준균
    • 한국정보통신학회논문지
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    • 제2권3호
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    • pp.283-293
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    • 1998
  • 점차 일반 사용자들에게로의 도입이 가속화되고 있는 초고속통신망에서 초고속 서비스 사업자 시스템에 적용될 번호체계, 상호 접속 기준에 대한 기본적 요건과 기술적 표준 규정 등에 대한 정의가 미비한 실정이다. 초고속 서비스 사업자 망과 초고속 통신망에 접속 및 운용되는 시스템에서 초고속망의 번호 계획을 위하여 연동을 고려할 대상 망은 기존의 전화망, 패킷 데이터망, 이동 전화망, 및 ISDN 등이 있다. 본 고에서는 ITU-T 표준 규격을 따르는 공중 또는 사설 B-ISDN망의 번호 체계에 대하여 논한다. 특히 현재 제정된 ITU-T표준규격을 중심으로 현존하는 망과 초고속 번호 체계간의 상호 연동 방안을 기술하였다. 또한 ATM포럼 등의 사설 기관에서 사용하고 있는 번호체계도 추가적으로 검토하였다.

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Evaluation of existing bridges using neural networks

  • Molina, Augusto V.;Chou, Karen C.
    • Structural Engineering and Mechanics
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    • 제13권2호
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    • pp.187-209
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    • 2002
  • The infrastructure system in the United States has been aging faster than the resource available to restore them. Therefore decision for allocating the resources is based in part on the condition of the structural system. This paper proposes to use neural network to predict the overall rating of the structural system because of the successful applications of neural network to other fields which require a "symptom-diagnostic" type relationship. The goal of this paper is to illustrate the potential of using neural network in civil engineering applications and, particularly, in bridge evaluations. Data collected by the Tennessee Department of Transportation were used as "test bed" for the study. Multi-layer feed forward networks were developed using the Levenberg-Marquardt training algorithm. All the neural networks consisted of at least one hidden layer of neurons. Hyperbolic tangent transfer functions were used in the first hidden layer and log-sigmoid transfer functions were used in the subsequent hidden and output layers. The best performing neural network consisted of three hidden layers. This network contained three neurons in the first hidden layer, two neurons in the second hidden layer and one neuron in the third hidden layer. The neural network performed well based on a target error of 10%. The results of this study indicate that the potential for using neural networks for the evaluation of infrastructure systems is very good.

의료기술평가 기반으로서의 데이터 연계 (Data-Linking Infrastructure for the Health Technology Assessment)

  • 박종연
    • 보건의료기술평가
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    • 제6권2호
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    • pp.81-87
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    • 2018
  • With the recent change of healthcare environment including rapid technological development, evidences are more and more important and necessary to support relevant policies in health technology assessment to provide safe and effective health services, utilizing medical resources efficiently. Despite of the emphasis on the importance of real world data and real world evidence in health care research, current infrastructure supporting clinical research is considerably weak due to absence of legal and institutional basis. However, in accordance with the Article 26 of the Health and Medical Technology Promotion Act, there is a limited legal apparatus that can be used only in public data with other dataset for the purpose of healthcare technology assessment at the National Evidence-based Collaborating Agency. Although the use of linked data from various sources was often required in the field of clinical research, it was not yet working well due to insufficient environmental conditions. In order to support the decision-making of medical practice and health care policies, data-linking platform for clinical research is needed. If the legal system that can link up to the data of the private institutions without violating the significant value such as the protection of private informations is established, it will be a decisive foundation reinforcing the researches and policy making processes for the improvement of the national health care system.

딥러닝 데이터 활용한 신호등 색 인식 알고리즘 개발 (Development of Color Recognition Algorithm for Traffic Lights using Deep Learning Data)

  • 백서하;김종호;이경수
    • 자동차안전학회지
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    • 제14권2호
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    • pp.45-50
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    • 2022
  • The vehicle motion in urban environment is determined by surrounding traffic flow, which cause understanding the flow to be a factor that dominantly affects the motion planning of the vehicle. The traffic flow in this urban environment is accessed using various urban infrastructure information. This paper represents a color recognition algorithm for traffic lights to perceive traffic condition which is a main information among various urban infrastructure information. Deep learning based vision open source realizes positions of traffic lights around the host vehicle. The data are processed to input data based on whether it exists on the route of ego vehicle. The colors of traffic lights are estimated through pixel values from the camera image. The proposed algorithm is validated in intersection situations with traffic lights on the test track. The results show that the proposed algorithm guarantees precise recognition on traffic lights associated with the ego vehicle path in urban intersection scenarios.

항만 인프라 재해 및 노후화 관리를 위한 빅데이터 연계 방안 연구 (Study on Big Data Linkage Method for Managing Port Infrastructure Disasters and Aging)

  • 최우근;박순호
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2021년도 추계학술대회
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    • pp.134-137
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    • 2021
  • 본 연구는 스마트 유지보수 기술이 반영된 디지털 트윈 및 빅데이터 기반 항만 인프라 관제시스템을 개발하는 것을 목표로 한다. 항만 인프라에서 취득되는 센싱 데이터, 영상 데이터 등 이기종 데이터들을 빅데이터화하고, 디지털 트윈 기반의 관제시스템에 가시화한다. 가상 세계의 핵심 요소인 데이터들을 결합해 물리적 세계 및 프로세스로 표현하고, 이를 바탕으로 노후도 및 재해위험도를 평가할 수 있도록 지원한다. 이를 위해 빅데이터의 의미와 필요한 데이터 확보, 가공, 저장, 분석 및 활용의 단계별로 반영하여야 할 사항들을 도출하고, 이를 현재의 IT자원과 연계하기 위한 방법들을 정의하고자 한다.

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공공장소에서의 전기 자동차 충전기 디자인 콘셉트 제안 (Proposed concept design for electric vehicle charger in public places)

  • 진아영
    • Design & Manufacturing
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    • 제16권2호
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    • pp.13-19
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    • 2022
  • Recently, electric vehicles are gaining popularity among many domestic and foreign users due to their eco-friendly advantages of reducing fine dust and environmental greenhouse gases. As the demand and supply of electric vehicles increase, the demand for electric vehicle charging infrastructure is also growing together. Many users are experiencing inconvenience due to poor charging infrastructure, which makes them hesitant to buy electric vehicles. Research on the user experience of chargers in apartment complexes, a common residential type in Korea, is being conducted somewhat, but research on the design of electric vehicle charging devices in public places is insufficient. The purpose of this research is to identify user requirements and complaints based on the product design of the electric vehicle charger in public places and propose a new electric vehicle product design concept that meets the requirements. The research method understood the charging base and status of electric vehicles in public places through literature research and examined and analyzed the characteristics and problems of product design cases that improved the charging problem of electric vehicles recently released in the market. It is intended to identify and analyze the problems of the charging device product design through user interviews, a qualitative research method, and based on this, it is intended to propose a user-centered product design concept that improves major complaints.

Probability-based prediction of residual displacement for SDOF using nonlinear static analysis

  • Feng, Zhibin;Gong, Jinxin
    • Earthquakes and Structures
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    • 제22권6호
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    • pp.571-584
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    • 2022
  • The residual displacement ratio (RDRs) response spectra have been generally used as an important means to evaluate the post-earthquake repairability, and the ratios of residual to maximum inelastic displacement are considered to be more appropriate for development of the spectra. This methodology, however, assumes that the expected residual displacement can be computed as the product of the RDRs and maximum inelastic displacement, without considering the correlation between these two variables, which inevitably introduces potential systematic error. For providing an adequately accurate estimate of residual displacement, while accounting for the collapse resistance performance prior to the repairability evaluation, a probability-based procedure to estimate the residual displacement demands using the nonlinear static analysis (NSA) is developed for single-degree-of-freedom (SDOF) systems. To this end, the energy-based equivalent damping ratio used for NSA is revised to obtain the maximum displacement coincident with the nonlinear time history analysis (NTHA) results in the mean sense. Then, the possible systematic error resulted from RDRs spectra methodology is examined based on the NTHA results of SDOF systems. Finally, the statistical relation between the residual displacement and the NSA-based maximum displacement is established. The results indicate that the energy-based equivalent damping ratio will underestimate the damping for short period ranges, and overestimate the damping for longer period ranges. The RDRs spectra methodology generally leads to the results being non-conservative, depending on post-yield stiffness. The proposed approach emphasizes that the repairability evaluation should be based on the premise of no collapse, which matches with the current performance-based seismic assessment procedure.

기업 정보체계의 키 복구 기술 (Key Recovery Technology for Enterprise Information Infrastructure(EII))

  • 임신영;강상승;하영국;함호상;박상봉
    • 한국전자거래학회지
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    • 제4권3호
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    • pp.159-178
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    • 1999
  • As Electronic Commerce is getting larger, the volume of Internet-based commerce by enterprise is also getting larger. This phenomenon applies to Internet EDI, Global Internet Business, and CALS information services. In this paper, a new type of cryptographic key recovery mechanism satisfying requirements of business environment is proposed. It is also applied to enterprise information infrastructure for managing employees' task related to handling official properties of electronic enterprise documents exchange. This technology needs to be complied to information management policy of a certain enterprise environment because behavior of cryptographic key recovery can cause interruption of the employees' privacy. However, the cryptographic key recovery mechanism is able to applied to any kind of information service, the application areas of key recovery technology must be seriously considered as not disturbing user's privacy It will depend on the policy of enterprise information management of a specific company.

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ebXML Collabration Model of Single Window for Marine Transport

  • Lee, Young-Chan;Ahn, Kyeong-Rim
    • Journal of Advanced Marine Engineering and Technology
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    • 제31권3호
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    • pp.301-309
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    • 2007
  • Netherlands had suggested a uniform system to standardize and simplify EDI systems relating to the Arrival/Departure, stay, and clearance of ships, persons, and cargoes for the Facilitation of International Maritime Transport to the International Maritime Organization(IMO). Republic of Korea proposed the Framework of XML-based Single Window System for the simplified clearance of ships to the 32nd session of Facilitation Committee of the IMO. Accordingly the authors studied that the XML Infrastructure for Single Window efficiently supports the Single Window service and the business collaboration between business entities of logistics. The proposed XML Infrastructure designs to support the various document format translation and to easily manage. Therefore business entity using the proposed system has the effect of downing the resource and costs on using Single Window.

Global Flood Alert System (GFAS)

  • Umeda, Kazuo
    • 한국수자원학회:학술대회논문집
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    • 한국수자원학회 2006년도 학술발표회 논문집
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    • pp.28-35
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    • 2006
  • Global Flood Alert System (GFAS) is an attempt to make the best use of satellite rainfall data in flood forecasting. The project of GFAS is promoted both by Ministry of Land, Infrastructure and Transport-Japan (MLIT) and Japan Aerospace Exploration Agency (JAXA), under which Infrastructure Development Institute-Japan (IDI) has been working on the development of Internet-based information system and just launched trial run of GFAS in April 2006 on International Flood Network (IFNet) website. The function of GFAS is to connect space agencies and hydrological services/river authorities in charge of flood forecasting and warning by providing global rainfall information in maps, text data e-mails and so on which is produced from binary global rainfall data downloaded from National Aeronautics and Space Administration (NASA) website. Although the effectiveness of satellite rainfall data in flood forecasting and warning has yet to be verified, satellite rainfall is expected to play an important role to strengthen existing flood forecasting systems by diversifying hydrological data source.

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