• Title/Summary/Keyword: time offset

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A Development of Data Structure and Mesh Generation Algorithm for Global Ship Analysis Modeling System (선박의 전선해석 모델링 시스템을 위한 자료구조와 요소생성 알고리즘 개발)

  • Kim I.I.;Choi J.H.;Jo H.J.;Suh H.W.
    • Korean Journal of Computational Design and Engineering
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    • v.10 no.1
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    • pp.61-69
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    • 2005
  • In the global ship structure and vibration analysis, the FE(finite element) analysis model is required in the early design stage before the 3D CAD model is defined. And the analysis model generation process is a time-consuming job and takes much more time than the engineering work itself. In particular, ship structure has too many associated structural members such as stringers, stiffness and girders etc. These structural members should be satisfied as the constraints in analysis modeling. Therefore it is necessary to support generation of analysis model with satisfying these constraints as an automatic manner. For the effective support of the global ship analysis modeling, a method to generate analysis model using initial design information within ship design process, that hull form offset data and compartment data, is developed. In order to easily handle initial design information and FE model information, flexible data structure is proposed. An automatic quadrilateral mesh generation algorithm using initial design information to satisfy the constraints imposed on the ship structure is also proposed. The proposed data structure and mesh generation algorithm are applied for the various type of vessels for the usability test. Through this test, we have verified the stability and usefulness of this system including mesh generation algorithm.

Micro-seismic monitoring in mines based on cross wavelet transform

  • Huang, Linqi;Hao, Hong;Li, Xibing;Li, Jun
    • Earthquakes and Structures
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    • v.11 no.6
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    • pp.1143-1164
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    • 2016
  • Time Delay of Arrival (TDOA) estimation methods based on correlation function analysis play an important role in the micro-seismic event monitoring. It makes full use of the similarity in the recorded signals that are from the same source. However, those methods are subjected to the noise effect, particularly when the global similarity of the signals is low. This paper proposes a new approach for micro-seismic monitoring based on cross wavelet transform. The cross wavelet transform is utilized to analyse the measured signals under micro-seismic events, and the cross wavelet power spectrum is used to measure the similarity of two signals in a multi-scale dimension and subsequently identify TDOA. The offset time instant associated with the maximum cross wavelet transform spectrum power is identified as TDOA, and then the location of micro-seismic event can be identified. Individual and statistical identification tests are performed with measurement data from an in-field mine. Experimental studies demonstrate that the proposed approach significantly improves the robustness and accuracy of micro-seismic source locating in mines compared to several existing methods, such as the cross-correlation, multi-correlation, STA/LTA and Kurtosis methods.

Fabrication of a Brain Model using the Adaptive Slicing Technique (적응단면기법을 이용한 뇌모형제작)

  • Yeom, Sang-Won;Um, Tai-Joon;Joo, Yung-Chul;Kim, Seung-Woo;Kong, Yong-Hae;Chun, In-Gook;Bang, Jae-Chul
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.27 no.4
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    • pp.485-490
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    • 2003
  • RP(Rapid Prototyping) has been used in the various industrial applications. This paper presents the optimization techniques fur fabricated 3D model design using RP machine for the medical field. Once the original brain model data are obtained from 2D slices of MRI/CT machine, the data can be modeled as an optimal ellipse. The objective of this study includes optimization of fabrication time and surface roughness using the adaptive slicing method. It can reduce fabrication time without losing surface roughness quality by accumulating the slices with variable thickness. According to the parameter tuning and synthesis of its effect, more suitable parameter values can be obtained by enhanced 3D brain model fabrication. Therefore, accurate 3D brain model fabricated by RP machine can enable a surgeon to perform pre-operation. to make a decision for the operation sequence and to perceive the 3D positions in prototype, before delicate operation of actual surgery.

Performance Evaluation of Synchronization Method for Reducing the Overall Synchronization Time in Digital Radio Mondiale Receivers

  • Kwon, Ki-Won;Kim, Seong-Jun;Hwang, Jun;Paik, Jong-Ho
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.7 no.8
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    • pp.1860-1875
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    • 2013
  • In this paper, we present a comparative performance evaluation of the sampling frequency synchronization method that eliminates the initial sampling frequency offset (SFO) to reduce the overall synchronization time in Digital Radio Mondiale (DRM) receivers. To satisfy the advanced synchronization performance requirements of DRM receivers, we introduce the conventional DRM synchronization method (Method 1) and another method (Method 2), which does not perform the initial sampling frequency synchronization in the conventional synchronization method (both methods are mentioned later in this paper). To demonstrate the effectiveness of the performance evaluation, analytical expressions for frame detection are derived and simulations are provided. Based on the simulations and numerical analysis, our result shows that Method 2, with a negligible performance loss, is robust to the effects of the initial sampling frequency synchronization even if SFO is present in the DRM signal. In addition, we verify that the inter-cell differential correlation used between reference cells is robust to the effect of the initial SFO.

Spatial Compare Filter Based Real-Time dead Pixel Correction Method for Infrared Camera

  • Moon, Kil-Soo
    • Journal of the Korea Society of Computer and Information
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    • v.21 no.12
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    • pp.35-41
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    • 2016
  • In this paper, we propose a new real-time dead pixel detection method based on spatial compare filtering, which are usually used in the small target detection. Actually, the soft dead and the small target are cast in the same mold. Our proposed method detect and remove the dead pixels as applying the spatial compare filtering, into the pixel outputs of a detector after the non-uniformity correction. Therefore, we proposed method can effectively detect and replace the dead pixels regardless of the non-uniformity correction performance. In infrared camera, there are usually many dead detector pixels which produce abnormal output caused by manufactural process or operational environment. There are two kind of dead pixel. one is hard dead pixel which electronically generate abnormal outputs and other is soft dead pixel which changed and generated abnormal outputs by the planning process. Infrared camera have to perform non-uniformity correction because of structural and material properties of infrared detector. The hard dead pixels whose offset values obtained by non-uniformity correction are much larger or smaller than the average can be detected easily as dead pixels. However, some dead pixels(soft dead pixel) can remain, because of the difficulty of uncleared decision whether normal pixel or abnormal pixel.

A Wideband Clock Generator Design using Improved Automatic Frequency Calibration Circuit (개선된 자동 주파수 보정회로를 이용한 광대역 클록 발생기 설계)

  • Jeong, Sang-Hun;Yoo, Nam-Hee;Cho, Seong-Ik
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.60 no.2
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    • pp.451-454
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    • 2011
  • In this paper, a wideband clock generator using novel Automatic frequency calibration(AFC) scheme is proposed. Wideband clock generator using AFC has the advantage of small VCO gain and wide frequency band. The conventional AFC compares whether the feedback frequency is faster or slower then the reference frequency. However, the proposed AFC can detect frequency difference between reference frequency with feedback frequency. So it can be reduced an operation time than conventional methods AFC. Conventional AFC goes to the initial code if the frequency step changed. This AFC, on the other hand, can a prior state code so it can approach a fast operation. In simulation results, the proposed clock generator is designed for DisplayPort using the CMOS ring-VCO. The VCO tuning range is 350MHz, and a VCO frequency is 270MHz. The lock time of clock generator is less then 3us at input reference frequency, 67.5MHz. The phase noise is -109dBC/Hz at 1MHz offset from the center frequency. and power consumption is 10.1mW at 1.8V supply and layout area is $0.384mm^2$.

Study on the Phase Noise of Voltage Controlled Oscillator (전압조절발진기의 위상잡음 연구)

  • Park, Se-Hoon;Seo, Hee-Sung
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • v.9 no.1
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    • pp.1057-1060
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    • 2005
  • Noises from circuits components and interference with other circuits components generate the phase noise in voltage controlled oscillators (VCO). The effects of the random noise on the phase noise is depending on the instant when the noise enters the VCO. When the noise enters at the transition time of the output of VCO, the effect is most prominent. Using this time variable system, it is revealed that the power spectral density of phase noise of VCO is made of the integrated noise powers of frequency components slightly offset from the fundamental and harmonic frequencies.

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KRISS와 MMIA 양방향시각비교 교정

  • Yang, Seong-Hun;Lee, Yeong-Gyu;Lee, Seung-U;Han, Ji-Ae;Lee, Chang-Bok
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.2
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    • pp.479-481
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    • 2006
  • 1967년 시간의 기본 단위인 초가 세슘원시계에 의해 정의된 이후, 각 국의 표준기관에서는 보다 정확한 원자시계개발 연구와 평가를 수행하고 있다. 이러한 연구는 정확한 시간척도(Time Scale)와 국제원자시를 생성하여 산업과 과학분야에 기여하기 위한 것이며, 이에 필연적으로 국제간 시각비교 개선을 위한 연구도 함께 발전되어 왔다. 전파를 이용한 시각비교는 지상파를 이용하던 70년대 초부터 시작되었는고 1981년부터 GPS에 의한 시각비교 방법이 소개된 이후, 80년대 후반에 들어서면서 GPS 활성화에 따라 급격히 시각비교 정확도가 향상되었다. 그러나 GPS와 더불어 통신위성을 이용한 양방향 시각비교(TWSTFT)의 필요성에 따라 세계 선진 표준기관들은 이 방법을 수행하고 있다. 한국표준과학연구원(KRISS)에서도 통신위성을 이용한 양방향시각비교를 구축하여 운용하고 있으며 아시아, 오세아니아, 유럽지역과 비교를 할 수 있는 시스템을 구축하여 운용하고 있다. 본 논문에서는 PAS-8위성을 이용한 KRISS와 NMIA(호주)와 양방향시각비교를 수행함에 있어 필수적으로 계산 또는 측정하여야하는 오프셋값을 결정방법으로 GPS와 Circular-T를 이용하여 산출한 결과를 제시한다.

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Time-Optimal Power Control for KMRR Using Reactivity Constraint Method (반응도 제한법에 의한 KMRR의 시간 최적 출력 제어)

  • Lee, Byung-Ill;Kim, Myung-Hyun
    • Nuclear Engineering and Technology
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    • v.23 no.1
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    • pp.30-40
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    • 1991
  • For automatic power control of KMRR, a new method, Reactivity Constraint Method, is applied for time optimal control. This method limits the net reactivity to the amount that can be offset by instantaneous control rod action. The reactivity to be constrained for the constant reactor period should be obtained by the dynamic period equation. A new formulation of the dynamic period equation for 2-point kinetics model is presented. A methematical controller model was applied to the plant simulator, KMRSIM to test this control law. The performance test showed that reactivity constraint approach is also a reliable means for reactor power change control.

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Single-channel Demodulation Algorithm for Non-cooperative PCMA Signals Based on Neural Network

  • Wei, Chi;Peng, Hua;Fan, Junhui
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.13 no.7
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    • pp.3433-3446
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    • 2019
  • Aiming at the high complexity of traditional single-channel demodulation algorithm for PCMA signals, a new demodulation algorithm based on neural network is proposed to reduce the complexity of demodulation in the system of non-cooperative PCMA communication. The demodulation network is trained in this paper, which combines the preprocessing module and decision module. Firstly, the preprocessing module is used to estimate the initial parameters, and the auxiliary signals are obtained by using the information of frequency offset estimation. Then, the time-frequency characteristic data of auxiliary signals are obtained, which is taken as the input data of the neural network to be trained. Finally, the decision module is used to output the demodulated bit sequence. Compared with traditional single-channel demodulation algorithms, the proposed algorithm does not need to go through all the possible values of transmit symbol pairs, which greatly reduces the complexity of demodulation. The simulation results show that the trained neural network can greatly extract the time-frequency characteristics of PCMA signals. The performance of the proposed algorithm is similar to that of PSP algorithm, but the complexity of demodulation can be greatly reduced through the proposed algorithm.