• 제목/요약/키워드: multi frequency network

검색결과 315건 처리시간 0.023초

분산 네트워크를 위한 다수 노드 주파수 동기화 방식 (Multi-node Frequency Synchronization Method for Distributed Networks)

  • 김정현;김지형;임광재
    • 한국통신학회논문지
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    • 제37권3C호
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    • pp.251-258
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    • 2012
  • 본 논문에서는 분산 네트워크 환경에서 다수 노드들의 주파수를 동기화하기 위한 방식을 제안한다. 제안한 방식은 네트워크 상의 모든 노드들의 반송파 주파수를 동기화시킴으로써 새로운 노드 진입 시 노드 간 빠른 동기화가 가능토록 한다. 또한, 다수의 그룹이 네트워크 상에 존재하는 경우 인접 그룹 간의 동기화 방식을 제안한다. 제안한 주파수 동기 알고리즘은 노드의 진입이 유동적이고 그룹 간 병합과 분리가 빈번하게 발생할 수 있는 군작전 시나리오에 효과적으로 사용될 것으로 기대된다.

No Blind Spot: Network Coverage Enhancement Through Joint Cooperation and Frequency Reuse

  • Zhong, Yi;Qiao, Pengcheng;Zhang, Wenyi;Zheng, Fu-chun
    • Journal of Communications and Networks
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    • 제18권5호
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    • pp.773-783
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    • 2016
  • Both coordinated multi-point transmission and frequency reuse are effective approaches to mitigate inter-cell interference and improve network coverage. The motivation of this work is to explore the manner to effectively utilize the spectrum resource by reasonably combining cooperation and frequency reuse. The $Mat{\acute{e}}rn$ cluster process, which is appropriate to model networks with hot spots, is used to model the spatial distribution of base stations. Two cooperative mechanisms, coherent and non-coherent joint transmission (JT), are analyzed and compared. We also evaluate the effect of multiple antennas and imperfect channel state information. The simulation reveals that the proposed approach to combine cooperation and frequency reuse is effective to improve the network coverage for users located at both the center and the boundary of the cooperative region.

다중 주파수 대역 convolutional neural network 기반 지진 신호 검출 기법 (Earthquake detection based on convolutional neural network using multi-band frequency signals)

  • 김승일;김동현;신현학;구본화;고한석
    • 한국음향학회지
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    • 제38권1호
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    • pp.23-29
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    • 2019
  • 본 논문에서는 국내에서 발생한 지진 신호를 검출 및 식별하기 위한 방법을 다루었다. 국내에서 발생한 지진 신호들을 분석해 본 결과 서로 다른 주파수 대역 신호의 특징들이 각각 분류를 위한 특징으로 적절함을 확인할 수 있었다. 이러한 분석 결과를 바탕으로 지진 신호에서 추출한 다중 주파수 대역 특징을 기반으로 하는 CNN(Convolutional Neural Network) 기법에 대해서 제안하였다. 제안하는 다중 주파수 대역 CNN 기법은 지진 신호에서 추출한 멜 스펙트럼에 대해서 각각 필터를 적용하여 서로 다른 주파수 대역(저/중/고 주파수)의 신호를 추출하였다. 추출된 신호들을 바탕으로 각각 CNN 기반 분류를 수행하였고, 수행된 결과를 융합하여 최종적으로 지진 이벤트에 대해 식별하였다. 2018년 동안 대한민국에서 발생한 실제 지진데이터를 기반으로 하는 실험을 통해 제안하는 기법에 대한 효용성을 검증하였다.

다중 사용자 OFDM시스템에서 Gradual Neural Network를 이용한 채널 할당 (Channel Allocation Using Gradual Neural Network For Multi-User OFDM Systems)

  • 문은진;이창욱;전기준
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2004년도 학술대회 논문집 정보 및 제어부문
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    • pp.240-242
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    • 2004
  • A channel allocation algorithm of multi-user OFDM(orthogonal frequency division multiplexing) system is presented. The proposed algorithm is to reduce the complexity of the system, using the GNN(gradual neural network) with gradual expansion scheme and the algorithm attempts to allocate channel with good channel gain to each user. The method has lower computational complexity and less iteration than other algorithms.

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WPAN 간섭원에 의한 MIMO-OFDM WLAN의 성능 열화 분석을 위한 실시간 주파수 간섭 분석 시스템 (Real-Time Frequency Interference Analysis System for Performance Degradation Analysis of MIMO-OFDM WLAN Due to WPAN Interferer)

  • 윤현구;박진수;장병준
    • 한국전자파학회논문지
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    • 제27권1호
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    • pp.88-91
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    • 2016
  • 본 논문에서는 WPAN(Wireless Personal Area Network) 주파수 간섭원에 의한 MIMO(Multi Input Multi Output)-OFDM(Orthogonal Frequency Division Multiplexing) WLAN(Wireless Local Area Network)의 성능 열화를 분석하기 위해 LabVIEW와 USRP (Universal Software Radio Peripheral)를 이용한 실시간 주파수 간섭 분석 시스템을 제안하였다. 제안한 시스템은 간섭원과 피간섭원을 각각 소프트웨어로 구현하고, USRP와 연결하여 실제 시스템과 유사한 2.4 GHz 대역의 송신신호를 발생시킨 후, 피간섭원의 수신과정에 잡음신호 및 간섭신호와 결합하여, 주파수 공동사용에 따른 MIMO 시스템의 BER(Bit Error Rate)을 분석하는 방식이다. 분석 결과, 이론값과 거의 일치하는 결과를 보여 제안한 시스템의 타당성을 입증하였다.

Comparison of High Frequency Detailed Generator Models for Partial Discharge Localization

  • Hassan Hosseini, S.M.;Hosseini Bafghi, S.M.
    • Journal of Electrical Engineering and Technology
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    • 제10권4호
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    • pp.1752-1758
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    • 2015
  • This paper presents partial discharge localization in stator winding of generators using multi-conductor transmission line (MTL) and RLC ladder network models. The high-voltage (HV) winding of a 6kV/250kW generator has been modeled by MATLAB software. The simulation results of the MTL and the RLC ladder network models have been evaluated with the measurements results in the frequency domain by applying of the Pearson’s correlation coefficients. Two PD generated calibrator signals in kHz and MHz frequency range were injected into different points of generator winding and the signals simulated/measured at the both ends of the winding. For partial discharge localization in stator winding of generators is necessary to calculate the frequency spectrum of the PD current signals and then estimate the poles of the system from the calculated frequency spectrum. Finally, the location of PD can be estimated. This theory applied for the above generator and the simulation/measured results show the good correlation for PD Location for RLC ladder network and MTL models in the frequency range of kHz (10kHz<f<1MHz) and MHz (1MHz<f<5MHz) respectively.

전산유체해석(CFD)을 이용한 밸브의 급폐쇄에 따른 다중 배관 수격 현상에 관한 연구 (Study on a Multi-pipe Water Hammer Phenomenon by using CFD of Rapid Valve Closing)

  • 박노석;김성수;강문선;최종웅
    • 상하수도학회지
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    • 제27권4호
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    • pp.479-487
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    • 2013
  • This study was to investigate characteristics for the pressure wave propagation and the maximum pressure near a rapid closure valve which was installed the end of multi piping network. The multi piping network consists of one inlet and three outlet with straight pipes. The diameter of the pipes including the valve was 100 mm, 80 mm, 80 mm respectively. The valve was rapidly closed with the instantaneous time which was 0.023s in the level for the water hammer. For the simulation, the influence of the pipe thickness and deformation due to pressure-wave-propagation was not considered. CFD was conducted under the following condition : the initial pressure was 1bar in the inlet and the mass flow rate was 7.83 kg/s in the outlet(the velocity in the pipe with 100 mm diameter was 1 m/s). As the valve have conditions that were status with and without fluid flow in the pipe after valve closing, the maximum pressure change and the frequency analysis were examined. As the results, the case that was status with fluid flow appeared the higher maximum pressure than another's, the maximum frequency band was about 10 ~ 11 Hz.

The First Multi-Frequency Synthesis Space-VLBI Observations of 0059+581 with Radioastron

  • Alexey Rudnitskiy;Mikhail Shchurov;Taehyun Jung;Marcello Giroletti
    • 천문학회지
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    • 제56권1호
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    • pp.91-96
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    • 2023
  • In this paper, we describe the first multi-frequency synthesis observations of blazar 0059+581 made with the Radioastron space-ground interferometer in conjunction with the Korean VLBI Network (KVN), Medicina and Torun ground telescopes. We conducted these observations to assess the spaceground interferometer multi-frequency mode capability for the first time.

Multi-frequency bands receiver system and its test observation results

  • 한석태;전파기술개발센터원;전파천문연구본부원
    • 천문학회보
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    • 제36권2호
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    • pp.127.1-127.1
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    • 2011
  • Over the past several years the millimeter wave VLBI(Veryl Long Baseline Interferometry) observations have been intensively carried out. However In millimeter and sub-millimeter waves observations for VLBI, it is crucial to calibrate correctly the phase variations of the electromagnetic waves propagation through the troposphere. To do this, KVN(Korean VLBI Network) has a unique multi-frequency bands receiver system which is able to perform the simultaneous observations in up to four bands such as 22, 43, 86, and 129GHz. The phase of a source at 22GHz can be used to calibrate the phase of the same source at higher frequency bands. The phase calibration using multi-frequency bands receiver system is possible because the phase fluctuations from a given amount of waver vapor increase linearly with frequency. That is to say that troposphere is non-dispersive property in terms of tropospheric delay fluctuations. In this talk, We present results of test observation for multi-frequency bands receiver system.

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PMCN: Combining PDF-modified Similarity and Complex Network in Multi-document Summarization

  • Tu, Yi-Ning;Hsu, Wei-Tse
    • International Journal of Knowledge Content Development & Technology
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    • 제9권3호
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    • pp.23-41
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    • 2019
  • This study combines the concept of degree centrality in complex network with the Term Frequency $^*$ Proportional Document Frequency ($TF^*PDF$) algorithm; the combined method, called PMCN (PDF-Modified similarity and Complex Network), constructs relationship networks among sentences for writing news summaries. The PMCN method is a multi-document summarization extension of the ideas of Bun and Ishizuka (2002), who first published the $TF^*PDF$ algorithm for detecting hot topics. In their $TF^*PDF$ algorithm, Bun and Ishizuka defined the publisher of a news item as its channel. If the PDF weight of a term is higher than the weights of other terms, then the term is hotter than the other terms. However, this study attempts to develop summaries for news items. Because the $TF^*PDF$ algorithm summarizes daily news, PMCN replaces the concept of "channel" with "the date of the news event", and uses the resulting chronicle ordering for a multi-document summarization algorithm, of which the F-measure scores were 0.042 and 0.051 higher than LexRank for the famous d30001t and d30003t tasks, respectively.