• 제목/요약/키워드: Cable Networks

검색결과 126건 처리시간 0.026초

신경망을 사용한 교량구조의 미지계수 추정 (Structural Parameter Estimation of Bridges Using Neural Networks)

  • 방은영;윤정방
    • 한국전산구조공학회:학술대회논문집
    • /
    • 한국전산구조공학회 1995년도 가을 학술발표회 논문집
    • /
    • pp.95-102
    • /
    • 1995
  • Procedures for estimation of axial or flexural rigidities of bridge members by neural networks are shown. To treat large scale structures containing many unkwon parameters, substructuring concept is introduced. The measurement points are selected considering the sensitivity of the element stiffnesses of interest. Utilization of relative mode vectors is found to be very effective for the local parameter estimation. Then, the study focuses on the method to obtain the training set enough to represent structures. It is shown that noise injection is effective to reduce the estimation errors caused by measurement noise. Verification of the present method is carried out using a cable-stayed bridge model.

  • PDF

위성 B-ISDN 신호 프로토콜의 설계 및 검증 (Desing and Verification of Satellite B-ISDN Signalling Protocol)

  • 박석천;최동영;강성용
    • 한국정보처리학회논문지
    • /
    • 제6권7호
    • /
    • pp.1909-1918
    • /
    • 1999
  • The terrestrial/satellite hybrid network may replace or supply the terrestrial network in some areas or certain applications. For example, it may play a major role in global B-ISDN or in certain areas where the deployment of optical cable is not feasible, especially at the early stage of implementing terrestrial B-ISDN. Furthermore, it can play an important role in the development of B-ISDN due to their features of flexible wide coverage, independent of ground distances and geographical constraints, multiple access and multipoint broadcast. Also, satellite have the capability to supply terrestrial B-ISDN/ATM with flexible links for access networks as well as trunk networks. This paper describes the design and verification of the interworking protocol between terrestrial B-ISDN뭉 satellite network. For the verification, the designed interworking protocol is modeled by Petri-net and the model is analyzed by reachability tree.

  • PDF

이기종망에서 계층 부호화된 UHD 방송을 위한 서비스 아키텍처 구현 (Implementation of Service Architecture for Hierarchical UHD Broadcasting over Heterogeneous Networks)

  • 서민재;백종호
    • 한국위성정보통신학회논문지
    • /
    • 제9권4호
    • /
    • pp.38-41
    • /
    • 2014
  • 단말기의 성능이 각기 다양해지고, 여러 망을 통해 멀티미디어 서비스를 제공하는 것이 가능해지면서 미디어 소비 환경은 다양한 형태로 진화하였다. 최근 들어 실시간 모바일 서비스와 방송 서비스를 방송망은 물론 IP망에서도 제공되기 시작하였다. 이러한 변화의 흐름에 따라 이기종망 환경에서 다양한 멀티미디어 서비스에 대한 요구가 제기되었으며, 이를 해결하기 위한 방법으로 MPEG에서는 기존 HD급 전송을 위해 적용한 MPEG-TS를 대체할 수 있는 MMT(MPEG Media Transport)를 멀티미디어 전송 표준으로 채택하였다. MMT는 IP 기반으로 지상파, 위성, 케이블 방송 네트워크 등에서 다양한 방송을 제공할 수 있으며, 다른 종류의 여러 망을 동시에 사용하여 멀티미디어를 전달할 수 있는 특징을 갖고 있으며, 이를 이용하여 최근 많은 관심을 받고 있는 UHD(Ultra High Definition)급 방송 서비스 전송에 적용하기 위한 다양한 시도가 이루어지고 있다. 본 논문에서는 MMT를 기반으로 이기종망을 통해 초고화질의 콘텐츠를 수신하도록 설계한 아키텍처 구현 방법을 제안한다.

Deep learning-based sensor fault detection using S-Long Short Term Memory Networks

  • Li, Lili;Liu, Gang;Zhang, Liangliang;Li, Qing
    • Structural Monitoring and Maintenance
    • /
    • 제5권1호
    • /
    • pp.51-65
    • /
    • 2018
  • A number of sensing techniques have been implemented for detecting defects in civil infrastructures instead of onsite human inspections in structural health monitoring. However, the issue of faults in sensors has not received much attention. This issue may lead to incorrect interpretation of data and false alarms. To overcome these challenges, this article presents a deep learning-based method with a new architecture of Stateful Long Short Term Memory Neural Networks (S-LSTM NN) for detecting sensor fault without going into details of the fault features. As LSTMs are capable of learning data features automatically, and the proposed method works without an accurate mathematical model. The detection of four types of sensor faults are studied in this paper. Non-stationary acceleration responses of a three-span continuous bridge when under operational conditions are studied. A deep network model is applied to the measured bridge data with estimation to detect the sensor fault. Another set of sensor output data is used to supervise the network parameters and backpropagation algorithm to fine tune the parameters to establish a deep self-coding network model. The response residuals between the true value and the predicted value of the deep S-LSTM network was statistically analyzed to determine the fault threshold of sensor. Experimental study with a cable-stayed bridge further indicated that the proposed method is robust in the detection of the sensor fault.

Traffic Flow Estimation based Channel Assignment for Wireless Mesh Networks

  • Pak, Woo-Guil;Bahk, Sae-Woong
    • KSII Transactions on Internet and Information Systems (TIIS)
    • /
    • 제5권1호
    • /
    • pp.68-82
    • /
    • 2011
  • Wireless mesh networks (WMNs) provide high-speed backbone networks without any wired cable. Many researchers have tried to increase network throughput by using multi-channel and multi-radio interfaces. A multi-radio multi-channel WMN requires channel assignment algorithm to decide the number of channels needed for each link. Since the channel assignment affects routing and interference directly, it is a critical component for enhancing network performance. However, the optimal channel assignment is known as a NP complete problem. For high performance, most of previous works assign channels in a centralized manner but they are limited in being applied for dynamic network environments. In this paper, we propose a simple flow estimation algorithm and a hybrid channel assignment algorithm. Our flow estimation algorithm obtains aggregated flow rate information between routers by packet sampling, thereby achieving high scalability. Our hybrid channel assignment algorithm initially assigns channels in a centralized manner first, and runs in a distributed manner to adjust channel assignment when notable traffic changes are detected. This approach provides high scalability and high performance compared with existing algorithms, and they are confirmed through extensive performance evaluations.

예비 구조설계를 위한 유전알고리즘을 이용한 다단계 인공신경망에 관한 연구 (A Study on the Multi-Level Artificial Neural Networks Using Genetic Algorithm for Preliminary Structural Design)

  • 최병한
    • 한국강구조학회 논문집
    • /
    • 제16권4호통권71호
    • /
    • pp.443-452
    • /
    • 2004
  • 인간의 뇌와 유사한 병렬 연산 모델을 활용하여 다양하고 복잡한 비선형적인 문제에 효과적으로 연관관계를 조직화 할 수 있는 인공신경망에 관한 연구가 근래에 공학의 넓은 분야에서 도입되고 그에 따른 많은 성과가 나타나고 있다. 본 연구에서는 설계자의 판단력과 경험에 의존 하던 기존의 예비구조설계 단계에 효과적인 인공신경망을 적용하여 예비 구조설계 단계에 컴퓨터를 이용한 정형화된 방법을 제시하고자 한다. 이를 위해 각 구조물의 일반적인 설계과정에 따른 다단계 신경망을 제시하고 인공신경망의 학습은 역전파알고리즘과 유전알고리즘을 적용하여 예비구조설계의 원형을 구현한다. 이와 같이 구성된 다단계 신경망을 사장교의 예비구조설계 단계에 활용하여 본 연구의 적용성과 두가지 학습기법에 따른 결과를 비교 분석 한다.

Monarch를 이용한 주택내 초고속 인터넷망의 성능 측정 (Performance Measurement of Residential Broadband Network with Monarch)

  • 최순병;이영석
    • 한국정보과학회논문지:정보통신
    • /
    • 제36권5호
    • /
    • pp.369-375
    • /
    • 2009
  • 주택내 광대역통신망(Residential Broadband Network: RBN)은 xDSL/Cable 망에서 점차 100Mbps급의 FTTH로 발전하고 있다. 사용자들은 고속의 인터넷서비스를 이용하여 웹, 멀티미디어, 게임, 및 파일 공유 등 다양한 인터넷 응용들을 사용하고 있다. 따라서, 주택내 초고속 인터넷 망의 성능은 사용자의 만족도에 중요한 영향을 끼치게 된다. 일반적으로 ISP들은 특정 서버와 소프트웨어를 통해 사용자의 접속을 유도하여 망 성능 측정 결과를 공개하고 있다. 이러한 방법은 사용자의 적극적인 참여를 통한 측정이기 때문에 많은 시간과 비용이 들게 되며, 사용자의 참여를 적극적으로 유도해야한다. 본 논문은 최소한의 테스트 트래픽을 특정 서버에서 생성하여 주택내 광대역통신망의 성능 측정 방법인 Monarch라는 툴을 활용하여 국내의 대표적인 3개 ISP의 FTTH 인터넷 성능을 측정하고 분석한 결과를 제시하였다. 300개 이상의 유효 국내 FTTH 가입자들에 대한 광범위한 실험을 통하여 사용자가 직접 측정한 결과와 비교할 때 큰 오차를 보이지 않음을 확인하였고, 국내 ISP의 FTTH 망 $80{\sim}90Mbps$의 대역폭과 30ms 이내의 RTT를 관찰할 수 있었다.

Develoment of high-sensitivity wireless strain sensor for structural health monitoring

  • Jo, Hongki;Park, Jong-Woong;Spencer, B.F. Jr.;Jung, Hyung-Jo
    • Smart Structures and Systems
    • /
    • 제11권5호
    • /
    • pp.477-496
    • /
    • 2013
  • Due to their cost-effectiveness and ease of installation, wireless smart sensors (WSS) have received considerable recent attention for structural health monitoring of civil infrastructure. Though various wireless smart sensor networks (WSSN) have been successfully implemented for full-scale structural health monitoring (SHM) applications, monitoring of low-level ambient strain still remains a challenging problem for WSS due to A/D converter (ADC) resolution, inherent circuit noise, and the need for automatic operation. In this paper, the design and validation of high-precision strain sensor board for the Imote2 WSS platform and its application to SHM of a cable-stayed bridge are presented. By accurate and automated balancing of the Wheatstone bridge, signal amplification of up to 2507-times can be obtained, while keeping signal mean close to the center of the ADC span, which allows utilization of the full span of the ADC. For better applicability to SHM for real-world structures, temperature compensation and shunt calibration are also implemented. Moreover, the sensor board has been designed to accommodate a friction-type magnet strain sensor, in addition to traditional foil-type strain gages, facilitating fast and easy deployment. The wireless strain sensor board performance is verified through both laboratory-scale tests and deployment on a full-scale cable-stayed bridge.

전력케이블과 가스배관의 병행구간에 대한 교류부식 영향 검토 연구 (The Study on the AC Interference of High Power Cable on Underground Gas Pipeline)

  • 배정효;김대경;하태현;이현구;곽방명;임채중
    • 대한전기학회:학술대회논문집
    • /
    • 대한전기학회 2000년도 하계학술대회 논문집 A
    • /
    • pp.470-473
    • /
    • 2000
  • Because of the continuous growth of energy consumption, and also the tendency to site power lines and pipelines along the same routes, the close proximity of high voltage structures and metallic pipelines has become more and more frequent. Moreover, normal steady state and fault currents become higher as electric networks increase in size and power. Therefore, there has been and still is a growing concern (safety of people marking contact with pipeline, risk of damage to the pipeline coating, the metal and equipment connected to pipeline. especially cathodic protection system) about possible hazards resulting from the influence of high voltage power system on metallic structures(gas pipeline, oil pipeline and water pipeline etc.). Therefore, we analyze the interference problems when the gas pipeline is buried with power cable in the same submarine tunnel. This paper present the results of the study about interference mechanism, AC corrosion, limitation of safety voltage and analysis of indiction voltage.

  • PDF

IP Studio Infrastructure intended for Modern Production and TV broadcasting Facilities

  • Mfitumukiza, Joseph;Mariappan, Vinayagam;Lee, Minwoo;Lee, Seungyoun;Lee, Junghoon;Lee, Juyoung;Lim, Yunsik;Cha, Jaesang
    • International journal of advanced smart convergence
    • /
    • 제5권3호
    • /
    • pp.61-65
    • /
    • 2016
  • In the TV broadcasting, movie production and business the transportation of video between creators (programmers, studios) and distributors (broadcast and cable networks, cable and satellites companies) is still a mix of File Transfer Protocol (FTP), physical delivery, and expensive multicast satellite. Cloud-based file sync-and-share providers like Dropbox and box are playing an increasing role, but the industry's unique demands for speed and multicasting have fueled the growth of IP Video transport. This paper gives a solid grasp of the major elements of IP video technology, including content preparation, system architecture alternatives and network performance management.