• Title/Summary/Keyword: 시간간격신호

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Time-reversal Channel Capacity in Rayleigh and Ricean Environment (Rayleigh와 Ricean 채널 환경에서 동작하는 시역전 통신 채널 용량)

  • Koh, Il-Suek
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.34 no.3C
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    • pp.243-250
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    • 2009
  • In this paper, a closed-form expression of the ergodic channel capacity for a narrow-band time-reversal communication scheme is analytically formulated. In the time-reversal communication scenario, a transmitter sends a signal and a so-called time-reversal array receives the signal. Then, the received signal is reversed in the time do main and resent to the original transmitter. Here, one transmitter and an antenna array for the time-reversal array are assumed. Since the spacing between the array elements is large, the signals received by each antenna element can be considered independent. For simplicity, the communication channel is assumed stationary, whose properties are not changed for the time-reversal process. Based on the obtained formulation, the channel capacities for the time-reversal and the conventional channels are compared.

A Review of Roundabout Capacity Model (회전교차로 용량분석 방법에 대한 고찰)

  • An, Hong Ki;Kim, Dong Sun
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.41 no.2
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    • pp.143-150
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    • 2021
  • Roundabouts have been spreading out all over the world quickly with their attractions including capacity enhancement, safety increase and pollutant emission decrease. The history of Korean roundabout has already been 10 years. However, due to the accumulation of unclear right of way and insufficient data, the advantages of the roundabout are not fully utilized so far. Moreover, there are some differences in the capacity model of roundabouts compared to overseas capacity models. In addition, most research tend to concentrate in evaluation of roundabout performance using computer software. This paper, therefore, investigated overseas typical roundabout capacity models; empirical model and gap acceptance model, and then KHCM 2013 was compared to SIDRA model and USHCM 2010 model. It is expected that this paper will assist and guide practitioners in analyzing and estimating roundabout capacity more precise.

Determination of Acquisition Parameters for High-Resolution Marine Reflection Surveys through a Computer Model Study (전산모형을 통한 고해상도 다중채널 해양반사파의 획득변수 결정)

  • 김기영;주형태;홍종국;유해수
    • The Journal of Engineering Geology
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    • v.4 no.2
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    • pp.187-206
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    • 1994
  • Through a computer model study, optimum system configuration and field parameters were determined for high-resolution marine reflection surveys. Characteristics of far-field signatures were analysed in both time and frequency domains for the six individual R/V Onnuri. The analysis shows that the cluster fired at the depth of 2m below the sea surface generates the most ideal far-field signatures among the above seismic sources. Compared with the 96-channel streamer on the R/V Onnuri, the 12-channel streamer is suitable for shallow reflection profiling due to its high resolution both in the vertical and horizontal directions despite its lower signal-to-noise ratio. Considering factors including target depth, frequency range, airgun volume, number of recording channels, and capacity of compressors, optimum values for record length, sample period, and shot interval are believed to be is, 1ms, and 3.125m or 6.25m, respectively.

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Deep Learning Research on Vessel Trajectory Prediction Based on AIS Data with Interpolation Techniques

  • Won-Hee Lee;Seung-Won Yoon;Da-Hyun Jang;Kyu-Chul Lee
    • Journal of the Korea Society of Computer and Information
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    • v.29 no.3
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    • pp.1-10
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    • 2024
  • The research on predicting the routes of ships, which constitute the majority of maritime transportation, can detect potential hazards at sea in advance and prevent accidents. Unlike roads, there is no distinct signal system at sea, and traffic management is challenging, making ship route prediction essential for maritime safety. However, the time intervals of the ship route datasets are irregular due to communication disruptions. This study presents a method to adjust the time intervals of data using appropriate interpolation techniques for ship route prediction. Additionally, a deep learning model for predicting ship routes has been developed. This model is an LSTM model that predicts the future GPS coordinates of ships by understanding their movement patterns through real-time route information contained in AIS data. This paper presents a data preprocessing method using linear interpolation and a suitable deep learning model for ship route prediction. The experimental results demonstrate the effectiveness of the proposed method with an MSE of 0.0131 and an Accuracy of 0.9467.

Angle Difference Based State Transition Modeling Technique for the Classification of Signal Pattern from the Sensor Array (센서 어레이의 신호패턴 분류를 위한 각도 변이 기반 상태 천이 모델링 기법)

  • Kim, A-Ram;Lee, Seung-Jae;Kim, Sung-Kyung;Park, Soo-Hyun;Kim, Chang-Hwa
    • Journal of the Korea Society for Simulation
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    • v.15 no.3
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    • pp.49-60
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    • 2006
  • We propose a method to use a state transition model so that the sensing object can be distinguished through classification of signal patterns sensed by a sensor array. Focusing on the design of the model that is able to distinguish the sensed object more exactly, we present an idea in which the modeling elements, 'states' and 'transitions' are defined as each same-sized angle intervals into which the angle interval $(-\frac{\pi}{2},\frac{\pi}{2})$ is divided and the angle differences between adjacent signal values on sampling signal value sequence value sequence sensed from the sensor array in the uniform time interval, respectively. In addition we show the usefulness of our model through experiments.

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Analysis and Design Optimization of Interconnects for High-Speed LVDS Applications (고속 LVDS 응용을 위한 전송선 분석 및 설계 최적화)

  • Ryu, Jee-Youl;Noh, Seok-Ho
    • Journal of the Institute of Electronics Engineers of Korea SD
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    • v.46 no.10
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    • pp.70-78
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    • 2009
  • This paper addresses the analysis and the design optimization of differential interconnects for high-speed Low-Voltage Differential Signaling (LVDS) applications. Thanks to the differential transmission and the low voltage swing, LVDS offers high data rates and improved noise immunity with significantly reduced power consumption in data communications, high-resolution display, and flat panel display. We present an improved model and new equations to reduce impedance mismatch and signal degradation in cascaded interconnects using optimization of interconnect design parameters such as trace width, trace height and trace space in differential printed circuit board (FPCB) transmission lines. We have carried out frequency-domain full-wave electromagnetic simulations, and time-domain transient simulations to evaluate the high-frequency characteristics of the differential FPCB interconnects. We believe that the proposed approach is very helpful to optimize high-speed differential FPCB interconnects for LVDS applications.

Adaptive Searching Channel Estimate Algorithm for IMT-Advanced Repeater (차세대 이동통신 중계시스템용 적응형 탐색 채널추정 알고리듬 연구)

  • Lee, Suk-Hui;Lee, Sang-Soo;Lee, Kwang-Ho;Bang, Sung-Il
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.46 no.11
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    • pp.32-39
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    • 2009
  • In this thesis, design effective elimination interference algorithm of ICS repeat system for repeater that improve frequency efficiency. Gennerally, LMS Algorithm apply to ICS repeat system. Error convergence speed and accuracy of LMS Algorithm are influenced by reference signal. For improve LMS Algorithm, suggest Adaptive searching channel estimate algorithm. For using channel characteristic, adaptive searching channel estimate algorithm make reference signal similar interference signal by convolution operation and complement LMS algorithm demerit. For make channel similar pratical channel, apply Jake's Rayleigh multi-path model. LMS algorithm and suggested adaptive searching channel estimate algorithm that have 16 taps apply to ICS repeat system under Rayleigh multi-path channel, so simulate with MATLAB. According to simulate, ICS repeat system with LMS algorithm show -40 dB mean square error convergent after 110 datas iteration and ICS repeat system with adaptive searching channel estimate algorithm show -80 dB mean square en-or convergent after 120 datas iteration. Analyze simulation result, suggested adaptive searching channel estimate algorithm show 40 dB accuracy than LMS algorithm.

Spectral Analysis of Heart Rate Variability in ECG and Pulse-wave using autoregressive model (AR모델을 이용한 심전도와 맥파의 심박변동 스펙트럼 해석)

  • Kim NagHwan;Lee EunSil;Min HongKi;Lee EungHyuk;Hong SeungHong
    • Journal of the Institute of Convergence Signal Processing
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    • v.1 no.1
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    • pp.15-22
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    • 2000
  • The analysis of power spectrum based on linear AR model is applied widely to quantize the response of autonomic nerve noninvasively, In this paper, we estimate the power spectrum density for heartrate variability of the electrocadiogram and pulse wave for short term data(less than two minute), The time series of heart rate variability is obtained from the time interval(RRI, PPI) between the feature point of the electrocadiogram and pulse wave for normal person, The generated time series reconstructed into new time series through polynomial interpolation to apply to the AR mode. The power spectrum density for AR model is calculated by Burg algorithm, After applying AR model, the power spectrum density for heart rate variability of the electrocadiogram and the pulse wave is shown smooth spectrum power at the region of low frequence and high frequence, and that the power spectrum density of electrocadiogram and pulse wave has similar form for same subject.

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Design and Fabrication of Compressive Receiver for RFID Signal Detection (RFID 신호 탐지용 컴프레시브 수신기의 설계 및 제작)

  • Jo, Won-Sang;Park, Dong-Chul
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.21 no.3
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    • pp.321-330
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    • 2010
  • In this paper, the theoretical background and the specific implementation method of a compressive receiver for RFID signal detection as well as the design method of DDL(Dispersive Delay Line) and chirp LO are described. DDL, which is one of the main components of the compressive receiver, is designed to have $13{\mu}s$ dispersive delay time and 6 MHz bandwidth using the SAW technique based on $LiNbO_3$ material. The chirp LO is designed using DDS(Direct Digital Synthesizer). Also the compressive receiver is fabricated to be installed into the RFID reader. Test results show the maximum frequency error of 25 kHz for single signal input, the receiver sensitivity of -44 dBm, and the maximum frequency error is 75 kHz for 6 multi-tone input signals. These results indicate that the fabricated compressive receiver is working well even in dense RFID operating environments.

Performance Analysis of FFTSA Method Using Water pulley Model (수차 모형 배열을 이용한 FFTSA 기법 성능 분석)

  • 최주평;이원철
    • Proceedings of the IEEK Conference
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    • 2001.09a
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    • pp.521-524
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    • 2001
  • 신호 대 잡음비가 매우 낮은 수중 음원을 탐지하기 위해서는 많은 센서를 갖는 견인 배열 시스템을 운용하여야 한다. 그러나 이러한 경우 수백 미터에 이르는 배열을 견인함이 끌고 다닐 때 파도와 같은 해수면의 움직임과 견인선의 기동 형태에 따라 원하는 배열 형태를 항상 유지할 수 없다. 그러므로 본 논문에서는 실제 수 중 환경에서 견인되는 배열의 왜곡된 형태를 시간적으로 뿐만 아니라 공간적으로 통합된 센서의 움직임 근거로 한 상관 형태를 잘 표현한 ""Paidoussis"" 방정식을적용하여 이 방정식의 간단화된 형태인 수차 모형(Water pulley)배열을 협대역 목표물 탐지에 이용하였다. [1][2][8] 수차 모형 구조의 배열을 이용하여 사상 기법을 적용하면 수차 모형의 왜곡 특성으로 인해 센서간 간격이 비균일성을 가지는 가상의 선형 배열이 형성되어 진다. 본 논문에서는 사상 기법에 의해 생성된 가상의 선형 배열을 토대로 합성 어패처 방식의 일종인 FFTSA(Fast Fourier Transform Synthetic Aperture) 기법을 이용하여 센서 배열의 입사각 추정 성능에 중대한 영향을 부여하는 코히어런스 주기에 따른 추정 성능의 변화 및 견인함의 이동 경로 변화에 따른 변동 경로 주기에 따른 성능 변화를 분석하였다.

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