• Title/Summary/Keyword: 링크예측

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Probabilistic Fiber Strength of Composite Pressure Vessel (복합재 압력용기의 확률 섬유 강도)

  • 황태경;홍창선;김천곤
    • Composites Research
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    • v.16 no.6
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    • pp.1-9
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    • 2003
  • In this paper, probabilistic failure analysis based on Weibull distribution function is proposed to predict the fiber strength of composite pressure vessel. And, experimental tests were performed using fiber strand specimens, unidirectional laminate specimens and composite pressure vessels to confirm the volumetric size effect on the fiber strength. As an analytical method, the Weibull weakest link model and the sequential multi-step failure model are considered and mutually compared. The volumetric size effect shows the clearly observed tendency towards fiber strength degradation with increasing stressed volume. Good agreement of fiber strength distribution was shown between test data and predicted results for unidirectional laminate and hoop ply in pressure vessel. The site effect on fiber strength depends on material and processing factors, the reduction of fiber strength due to the stressed volume shows different values according to the variation of material and processing conditions.

Design Methodology of System-Level Simulators for Wideband CDMA Cellular Standards (광대역 CDMA 셀룰러 표준을 위한 시스템 수준 시뮬레이터의 설계 방법론)

  • Park, Sungkyung
    • Journal of the Korea Society for Simulation
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    • v.22 no.1
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    • pp.41-51
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    • 2013
  • This tutorial paper presents the design methodology of system-level simulators targeted for code division multiple access (CDMA) cellular standards such as EV-DO (Evolution-Data Only) and broadcast multicast service (BCMCS). The basic structure and simulation flow of system-level simulators are delineated, following the procedure of cell layout, mobile drops, channel modeling, received power calculation, scheduling, packet error prediction, and traffic generation. Packet data transmissions on the forward link of CDMA systems and EV-DO BCMCS systems are considered for modeling simulators. System-level simulators for cellular standards are modeled and developed with high-level languages and utilized to evaluate and predict air interface performance metrics including capacity and coverage.

A Node Management Scheme in Tactical Data Link Network (전술데이터링크 네트워크에서의 노드 이탈 관리 기법)

  • Ahn, Kwang-Ho;Lee, Ju-Hyung;Cho, Joon-Young;Oh, Hyuk-Jun
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.36 no.4B
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    • pp.386-390
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    • 2011
  • Modem warfares have changed from PCW (platform Centric Warfare) to NCW (Network Centric Warfare). Therefore, it is more important to operate and manage the network. This paper proposed a node management scheme in military wireless networks. In military wireless networks, nodes can join and leave the networks easily. It causes a degradation of network capacity. This paper figured out a problem caused by node which is leaving the network. This paper proposed a RSSI based method of estimating and detecting the leaving nodes in the networks. Finally, an experimental result was demonstrated to show the efficiency of the proposed method.

A Route Selection Method for Transmitting Data in MANET(Mobile Ad-hoc NETwork) (MANET(Mobile Ad-hoc NETwork)에서의 효율적인 데이터 전송을 위한 경로선택기법)

  • Cha, Hyun-Jong;Han, In-Sung;Ryou, Hwang-Bin
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.05a
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    • pp.671-674
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    • 2008
  • 초기의 Ad-hoc 네트워크의 라우팅 프로토콜들은 Table-driven 알고리즘이 대두되었으나, 많은 문제점으로 이동단말의 이동성을 지원하는 On-demand 방식의 라우팅 프로토콜에 대한 연구가 진행되었다. 최근에는 On-demand 와 Table-driven의 장점을 반영한 AODV(Ad-hoc On-demand Distance Vector)가 널리 이용되고 있다. 그러나 AODV의 장점에도 불구하고 아직까지 AODV 는 노드들의 잦은 이동으로 Ad-hoc 네트워크에 많은 라우팅 패킷을 발생시켜 전체적인 네트워크의 성능 면에서 많은 약점을 보이고 있다. 본 논문에서는 Ad-hoc 네트워크를 구성하는 노드들 사이의 링크에 대한 신뢰성을 위해 노드의 이동경로예측을 기반으로 하는 새로운 경로설정 및 유지기법을 제안한다. 제안하는 기법은 AOMDV를 기반으로 노드의 위치와 이동 정보로 이동되는 방향과 위치를 예측하여 보다 안정적인 경로를 선택할 수 있는 기회를 제공하는 라우팅 기법이다. 또한 AOMDV로 다중경로를 보유하여 데이터의 종류와 특성에 적합한 최적의 경로선택으로 불필요한 경로설정 메시지의 오버헤드를 줄인다.

A Short-Term Vehicle Speed Prediction using Bayesian Network Based Selective Data Learning (선별적 데이터 학습 기반의 베이지안 네트워크를 이용한 단기차량속도 예측)

  • Park, Seong-ho;Yu, Young-jung;Moon, Sang-ho;Kim, Young-ho
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.19 no.12
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    • pp.2779-2784
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    • 2015
  • The prediction of the accurate traffic information can provide an optimal route from the place of departure to a destination, therefore, this makes it possible to obtain a saving of time and money. To predict traffic information, we use a Bayesian network method based on probability model in this paper. Existing researches predicting the traffic information based on a Bayesian network generally used to study the data for all time. In this paper, however, only data corresponding to same time and day of the week to predict selectively will be used for learning. In fact, the experiment was carried out for 14 links zone in Seoul, also, the accuracy of the prediction results of the two different methods should be tested with MAPE (Mean Absolute Percentage Error) which is commonly used. In view of MAPE, experimental results show that the proposed method may calculate traffic prediction value with a higher accuracy than the method used to learn the data for all time zones.

Development of a Mid-/Long-term Prediction Algorithm for Traffic Speed Under Foggy Weather Conditions (안개시 도시고속도로 통행속도 중장기 예측 알고리즘 개발)

  • JEONG, Eunbi;OH, Cheol;KIM, Youngho
    • Journal of Korean Society of Transportation
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    • v.33 no.3
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    • pp.256-267
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    • 2015
  • The intelligent transportation systems allow us to have valuable opportunities for collecting wide-area coverage traffic data. The significant efforts have been made in many countries to provide the reliable traffic conditions information such as travel time. This study analyzes the impacts of the fog weather conditions on the traffic stream. Also, a strategy for predicting the long-term traffic speeds is developed under foggy weather conditions. The results show that the average of speed reductions are 2.92kph and 5.36kph under the slight and heavy fog respectively. The best prediction performance is achieved when the previous 45 pattern cases data is used, and the 14.11% of mean absolute percentage error(MAPE) is obtained. The outcomes of this study support the development of more reliable traffic information for providing advanced traffic information service.

A Novel Predictive Current Control of Induction Motor Using Resonant DC Link Inverter (공진형 직류 링크단을 이용한 유도전동기의 예측형 전류 제어)

  • Oh, In-Hwan;Moon, Gun-Woo;Kim, Sung-Kwun;Youn, Myung-Joong
    • Proceedings of the KIEE Conference
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    • 1996.07a
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    • pp.567-570
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    • 1996
  • A predictive current control technique for an induction motor employing a resonant DC link inverter is proposed to overcome the disadvantage of the current regulated delta modulation(CRDM) which was employed to control the resonant DC link inverter. The discrete model of an induction motor and estimation of back EMF are investigated and a novel predictive current control technique is newly developed based on this discrete model and estimated back EMF. Using the proposed control technique, the minimized current ripple with reduced offset can be obtained. The usefulness of the proposed technique is verified through the computer simulation.

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An Optimum Decision Feedback Equalizer for SC-FDMA Systems (SC-FDMA 시스템을 위한 최적 판정궤환 등화기)

  • Lee, Su-Kyoung;Park, Yong-Hyun;Seo, Bo-Seok
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2010.07a
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    • pp.417-419
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    • 2010
  • SC-FDMA(Single Carrier Frequency Division Multiple Access) 방식은 다중경로의 영향을 제거할 수 있는 OFDM(Orthogonal Frequency Division Multiplexing) 방식의 장점을 유지하면서 OFDM의 단점인 높은 PAPR(Peak to Average Power Ratio) 문제를 해결할 수 있어 차세대 멀티미디어용 이동통신 시스템인 3GPP LTE(3rd Generation Partnership Project Long Term Evolution)의 상향링크 전송방식으로 채택되었다. 또한 SC-FDMA 수신기는 주파수 영역에서 채널등화기를 구현함으로써 OFDM 수신기와 마찬가지로 기존의 단일반송파 방식에 비해 등화기의 복잡도를 크게 감소시킬 수 있다. 한편 주파수 영역 채널등화기와 더불어 시간영역의 판정궤환 등화기를 같이 사용하여 수신기의 성능을 향상 시킬수 있다. 이 논문에서는 예측형 판정궤환 등화기 구조를 적용하여 채널등화기의 성능을 더 향상시킬 수 있는 방법을 제안하고자 한다. 또 모의실험을 통해 제안된 방법의 성능을 확인한다.

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A Development of Data-Driven Aircraft Taxi Time Prediction Algorithm (데이터 기반 항공기 지상 이동 시간 예측 알고리즘 개발)

  • Kim, Soyeun;Jeon, Daekeun;Eun, Yeonju
    • Journal of the Korean Society for Aviation and Aeronautics
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    • v.26 no.2
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    • pp.39-46
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    • 2018
  • Departure Manager (DMAN) is a tool to optimize the departure sequence and to suggest appropriate take-off time and off-block time of each departure aircraft to the air traffic controllers. To that end, Variable Taxi Time (VTT), which is time duration of the aircraft from the stand to the runway, should be estimated. In this paper, a study for development of VTT prediction algorithm based on machine learning techniques is presented. The factors affecting aircraft taxi speeds were identified through the analysis of historical traffic data on the airport surface. The prediction model suggested in this study consists of several sub-models that reflect different types of surface maneuvers based on the analysis result. The prediction performance of the proposed method was evaluated using the actual operational data.

Delay Analysis of Selective Repeat ARQ for a Markovian Source Over a Wireless Channel (무선 채널에서의 Selective Repeat ARQ 프로토콜의 Delay 성능 분석)

  • Kim Jeong Geun;Kim Young Soo;Lee Kyesan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.11B
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    • pp.930-937
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    • 2004
  • In this paper, we analyze the delay performance for a Markovian source transported over a wireless channel with time-varying error characteristics. To improve the reliability of the channel, the end points of the wireless link implement a selective-repeat (SR) ARQ error control protocol. We provide an approximate discrete-time analysis of the end-to-end mean packet delay, which consists of transport and resequencing delays. Numerical results and simulations indicate that our approximate analysis is sufficiently accurate for a wide range of parameter values.