• 제목/요약/키워드: Network Building

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빌딩 오토메이션 시스템의 향상된 통합 방안 (Advanced Integration of Building Automation System)

  • 임채성;심일주;장경배;백상민;유종일;정의국;박귀태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2003년도 학술회의 논문집 정보 및 제어부문 B
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    • pp.496-499
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    • 2003
  • System Integration is significant role in building, because it is that the more building system is integrated, the more they can save management costs and energy costs. Nowadays system protocols in building use BACnet, LonWorks, etc. to integrate effectively, but their interoperability is not perfect. Therefore, we propose system integration using Ethernet and TCP/IP for perfect harmony. When data network protocol, Ethernet and TCP/IP is used for control network, there are several problems. But there have been solved by many researches. therefore it is possible that building system integrate to use Ethernet and TCP/IP. Finally, we show that Ethernet and TCP/IP can be used for building automation system integration.

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보-기둥구조 PC공동주택 시공관리를 위한 골조공사 ADM공정표 작성 (Writing ADM Network Diagram of Frame Work for the Precast Concrete Public Apartment Building Construction Management)

  • 김기호;김민준;김진원;이동건;손정락;이범식
    • 한국건축시공학회:학술대회논문집
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    • 한국건축시공학회 2022년도 가을 학술논문 발표대회
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    • pp.221-222
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    • 2022
  • In this study, the work flow of the construction process was analyzed based on construction monitoring for a building of the middle size beam-column system Precast Concrete(PC) apartment building supplied by LH, and the Arrow Daigram Method(ADM) network diagram of its construction was written. The results of this study are judged to be able to improve productivity by using the PC structure apartment building construction plan to calculate a reasonable construction period and prepare a process management method for the PC structure frame construction.

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Using neural networks to model and predict amplitude dependent damping in buildings

  • Li, Q.S.;Liu, D.K.;Fang, J.Q.;Jeary, A.P.;Wong, C.K.
    • Wind and Structures
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    • 제2권1호
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    • pp.25-40
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    • 1999
  • In this paper, artificial neural networks, a new kind of intelligent method, are employed to model and predict amplitude dependent damping in buildings based on our full-scale measurements of buildings. The modelling method and procedure using neural networks to model the damping are studied. Comparative analysis of different neural network models of damping, which includes multi-layer perception network (MLP), recurrent neural network, and general regression neural network (GRNN), is performed and discussed in detail. The performances of the models are evaluated and discussed by tests and predictions including self-test, "one-lag" prediction and "multi-lag" prediction of the damping values at high amplitude levels. The established models of damping are used to predict the damping in the following three ways : (1) the model is established by part of the data measured from one building and is used to predict the another part of damping values which are always difficult to obtain from field measurements : the values at the high amplitude level. (2) The model is established by the damping data measured from one building and is used to predict the variation curve of damping for another building. And (3) the model is established by the data measured from more than one buildings and is used to predict the variation curve of damping for another building. The prediction results are discussed.

Prediction of downburst-induced wind pressure coefficients on high-rise building surfaces using BP neural network

  • Fang, Zhiyuan;Wang, Zhisong;Li, Zhengliang
    • Wind and Structures
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    • 제30권3호
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    • pp.289-298
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    • 2020
  • Gusts generated by downburst have caused a great variety of structural damages in many regions around the world. It is of great significance to accurately evaluate the downburst-induced wind load on high-rise building for the wind resistance design. The main objective of this paper is to propose a computational modeling approach which can satisfactorily predict the mean and fluctuating wind pressure coefficients induced by downburst on high-rise building surfaces. In this study, using an impinging jet to simulate downburst-like wind, and simultaneous pressure measurements are obtained on a high-rise building model at different radial locations. The model test data are used as the database for developing back propagation neural network (BPNN) models. Comparisons between the BPNN prediction results and those from impinging jet test demonstrate that the BPNN-based method can satisfactorily and efficiently predict the downburst-induced wind pressure coefficients on single and overall surfaces of high-rise building at various radial locations.

네트워크 보안성평가 지표개발에 관한 연구 (The Study of Developing an Index for Evaluating the Security of the Network)

  • 박동석;안성진;정진욱
    • 융합보안논문지
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    • 제2권1호
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    • pp.17-33
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    • 2002
  • 네트워크 구축의 각 단계별로 제시하는 분석단계의 정보요구, 기능요구, 성능요구, 보호요구, 접속요구, 다양한 서비스요구와 설계단계의 기능성, 확장성, 서비스계속성, 변경 가능성, 네트워크단순성, 실현가능성, 표준 및 시스템과의 호환성 목표 그리고 시험단계의 시기성, 대역폭, 신뢰성, 중요도, 비용 목표 마지막으로 구현 및 운용 단계의 단순성과 간편한 구성, 데이터전송량, 비용 대비 효과, 네트워크 관리 및 통제, 관리가능성, 보안, 교육 등의 목표를 제시하였고 구축된 네트워크의 보안성부문을 평가하기 위한 지표를 제시하고 있으며 지표별로 네트워크 감리 활동에 적용할 수 있는 기준값을 제시하였다.

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SOCIAL NETWORK THEORY AND PRIVATE HOUSING DEVELOPERS IN MALAYSIA

  • Muhammad Hijas Sahari;Mastura Jaafar;Abdul Rashid Abdul Aziz
    • 국제학술발표논문집
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    • The 2th International Conference on Construction Engineering and Project Management
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    • pp.704-710
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    • 2007
  • This paper examines the operations of private housing developers (PHDs) based on Social Network Theory. PHDs need to choose the best consultants, contractors and suppliers (CCS) to make sure the project run and complete successfully. PHDs gather the scarce resources from the external environment through personal network. This research used the social network method which relies on alliances based on network, social, tie and trust. The more people/firm PHDs network with, the better chances of finding the right CCS.

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전력선 통신 시스템의 구내 네트워크 데이터 처리량 연구 (Study on Network Throughput of Power Line Communication System in In-Building Network)

  • 장호덕
    • 한국정보전자통신기술학회논문지
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    • 제14권1호
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    • pp.43-47
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    • 2021
  • 본 논문에서는 전력선 통신 (PLC: Power Line Communication) 시스템의 네트워크 데이터 처리량 (throughput)을 구내 (In-building) 환경에서 연구하였다. 전력선 채널은 주파수 선택적 페이딩 주파수 응답을 가지므로 감쇠 및 잡음의 영향을 최소화하기 위해서 adaptive bit loading 방식을 적용한 OFDM (Orthogonal Frequency Division Multiplexing) 변조 방식을 사용하였다. 구내 네트워크의 게이트웨이/CPE (Customer Premise Equipment) 전력선 통신 모뎀 사이의 전력선 통신 구간에서 처리할 수 있는 최대 데이터 처리량을 측정하기 위해 iperf 네트워크 성능 측정 툴을 이용하였고, TCP (Transmission Control Protocol) 윈도우 사이즈별 throughput을 분석하였다.

Collaborative Relationship Analysis between Members of Apartment Construction Organizations

  • Kim, Jae-Yeob
    • 한국건축시공학회지
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    • 제14권1호
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    • pp.102-109
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    • 2014
  • The purpose of this study is to analyze collaborative relationship between members of a building construction organization. For the analysis of collaborative relationship, this researcher collected data by conducting a questionnaire survey with members of three large building construction organizations for apartment housing. The analyzed contents of collaborative relationship were the 'frequency of communication between organizational members' and their 'reliability'. According to the analysis of communication network, construction managers had low frequency of communication, whereas those responsible for each area, like construction deputy managers, had high frequency of communication. It indicates that middle managers are at the center of communication related to construction work in construction organizations. According to the analysis of reliability network, construction managers showed highest reliability, and employees at the top level in an organizational map also showed high reliability. Since they generally have a lot of experience, are some older of age, and assume responsibility for work, they are considered to receive reliability from other organizational members. This study proved that it was possible to numerically express reliability of organizational members, which is an abstract concept, and analyze it. Therefore, it is expected that the analysis result will highly be likely to be used in the area of construction management.

스마트 빌딩 시스템을 위한 임베디드 웹서버의 디자인 (Design of the Embedded Webserver for Smart Building System)

  • 유종일;신승우;장경배;심일주;박귀태
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 하계학술대회 논문집 D
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    • pp.2461-2464
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    • 2004
  • Recently, research about optimizing network of IBS(Intelligent Building System) is in progress activity. When we install existent building control network using general PC, system's efficiency drops. Because server that is charged with the task process is not and is expensive. Also, CapEx(Capital Expenditure) rises because of setting up the network equipment to integrate different protocol in building system. In this paper, we suggests the embedded web server that has various network structure.

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초고층 건물의 건전성 감시를 위한 변형률 기반 무선 센서 네트워크 기법의 기초적 연구 (Fundamental Research of Strain-based Wireless Sensor Network for Structural Health Monitoring of Highrise building)

  • 정은수;박효선;최석원;차호정
    • 한국방재학회:학술대회논문집
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    • 한국방재학회 2007년도 정기총회 및 학술발표대회
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    • pp.429-432
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    • 2007
  • For smart structure technologies, the interests in wireless sensor networks for structural health monitoring are growing. The wireless sensor networks reduce the installation of the wire embedded in the whole structure and save the costs. But the wireless sensor networks have lots of limits and there are lots of researches and developments of wireless sensor and the network for data process. Most of the researches of wireless sensor network is applying to the civil engineering structure and the researches for the highrise building are required. And strain-based SHM gives the local damage information of the structures which acceleration-based SHM can not. In this paper, concept of wireless sensor network for structural health monitoring of highrise building is suggested. And verifying the feasibility of the strain-based SHM a strain sensor board has developed and tested by experiments.

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