• Title/Summary/Keyword: detection technique

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A Study on an Image Noise Erase Method By to be an Image Noise Frequent Occur for Raining, in Measurement Machine Vision System for using CCD Camera Of Pantograph Sliding Plate (팬터그래프 습판마모의 머신 비젼 측정에서 우천시 발생하는 영상의 노이즈 제거방법에 대한 연구)

  • Lee, Seong-Gwon;Lee, Dae-Won;Kang, Seung-Wook;Oh, Sang-Yoon
    • Proceedings of the KIEE Conference
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    • 2007.11c
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    • pp.191-193
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    • 2007
  • Pantograph sliding plate abrasion auto-detect system, one of the electric rail car auto-detecting devices, is a system that decides how much abrasion and when to replace without an inspector physically looking at the abrasion on the wet plate using machine vision, a cutting-edge technology. This paper covers the cause of deteriorating reliability that affects pantograph wet plate edge detection due to noise added to the video when it rains. In order to remove such noise, problems should be checked through Smoothing, Averaging mask and Median filter using filtering technique and stable edge detection without being affected by noise should be induced in video measurement used in machine vision technology.

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Experimental studies on impact damage location in composite aerospace structures using genetic algorithms and neural networks

  • Mahzan, Shahruddin;Staszewski, Wieslaw J.;Worden, Keith
    • Smart Structures and Systems
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    • v.6 no.2
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    • pp.147-165
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    • 2010
  • Impact damage detection in composite structures has gained a considerable interest in many engineering areas. The capability to detect damage at the early stages reduces any risk of catastrophic failure. This paper compares two advanced signal processing methods for impact location in composite aircraft structures. The first method is based on a modified triangulation procedure and Genetic Algorithms whereas the second technique applies Artificial Neural Networks. A series of impacts is performed experimentally on a composite aircraft wing-box structure instrumented with low-profile, bonded piezoceramic sensors. The strain data are used for learning in the Neural Network approach. The triangulation procedure utilises the same data to establish impact velocities for various angles of strain wave propagation. The study demonstrates that both approaches are capable of good impact location estimates in this complex structure.

Protection of Multimedia Content under Mobile Environment (이동 환경에서의 멀티미디어 콘텐츠 보호)

  • Kim, Hang-Rae;Park, Young
    • Proceedings of the Korea Contents Association Conference
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    • 2003.11a
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    • pp.124-127
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    • 2003
  • In this research, a watermarking scheme for multimedia content service under the mobile envrionment is proposed. The proposed watermarking scheme that adds robustness to the errors occured in the mobile envrionment existing the pathloss, fading, interference and noise was designed. In case of the multimedia content service under the mobile envrionment, Possible methods for important matters to be considered for the copyright protection, construction of the watermark and position of insertion and detection are also proposed. It is observed that a watermark is composed of information of the mobile user Insertion and detection of the watermark is implemented with CDMA technique in the frequency region.

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Efficient Signal Feature Detection method using Spectral Correlation Function in the Fading channel

  • Song, Chang-Kun;Kim, Kyung-Seok
    • International Journal of Contents
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    • v.3 no.2
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    • pp.35-39
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    • 2007
  • The cognitive radio communication is taking the attentions because the development of the technique came to be possible to analyze wireless signals. In the IEEE 802.22 WRAN Systems[1], how to detect a spectrum and signals is continuously studied. In this paper, we propose the efficient signal detection method using SCF (Spectral Correlation Function). It is easy to detect the signal feature when we are using the SCF. Because most modulated signals have the cyclo-stationarity which is unique for each signal. But the fading channel effected serious influence even though it detects the feature of the signal. We applied LMS(Least Mean Square) filter for the compensation of the signal which is effected the serious influence in the fading channel. And we analyze some signal patterns through the SCF. And we show the unique signal feature of each signal through the SCF method. It is robust for low SNR(Signal to Noise Ratio) environment and we can distinguish it in the fading channel using LMS Filter.

Performance Analysis of OFDM Timing Synchronization Method with Imperfect Noise Estimation (불완전한 잡음 예측하에서 OFDM 시간 동기화 기법의 성능 분석)

  • Lee, Ki-Chang;Yoon, Young-Joong
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.32 no.3C
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    • pp.189-194
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    • 2007
  • This paper derives and computes the detection probability of timing synchronization in an orthogonal frequency division multiplexing (OFDM) system encountered with a multipath Rayleigh fading channel and imperfect noise estimation. The timing synchronization scheme using a simple repeated constant amplitude zero auto-correlation (CAZAC) training symbol and correlation techniques is adopted. With this provision, we focus on the numerical analysis for OFDM timing synchronization scheme employing a preadvancement technique to reduce the inter-symbol interference (ISI). For measuring system performance, the detection performance derived in the considered system is presented in a multipath Rayleigh fading channel.

An application of damage detection technique to the railway tunnel lining (철도터널 라이닝에 대한 손상도 파악기법의 현장적용)

  • Bang Choon-seok;Lee Jun S.;Choi Il-Yoon;Lee Hee-Up;Kim Yun Tae
    • Proceedings of the KSR Conference
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    • 2004.06a
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    • pp.1142-1147
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    • 2004
  • In this study, two damage detection techniques are applied to the railway tunnel liner based on the static deformation data. Models based on uniform reduction of stiffness and smeared crack concept are both employed, and the efficiency and relative advantage are compared with each other. Numerical analyses are performed on the idealized tunnel structure and the effect of white noise, common in most measurement data, is also investigated to better understand the suitability of the proposed models. As a result, model 1 based on uniform stiffness reduction method is shown to be relatively insensitive to the noise, while model 2 with the smeared crack concept is proven to be easily applied to the field situation since the effect of stiffness reduction is rather small. Finally, real deformation data of a rail tunnel in which health monitoring system is in operation are introduced to find the possible damage and it is shown that the prediction shows quite satisfactory result.

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Development of Probabilistic Risk Analysis Model on Railroad System - Its Application to Tunnel Fire Risk Analysis (철도시스템의 확률론적 위험평가 모델 개발 연구 - 터널화재 위험도 평가에의 적용)

  • Kwak Sang Log;Wang Jong Bae;Hong Seon Ho;Kim Sang Am
    • Proceedings of the KSR Conference
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    • 2003.10b
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    • pp.265-270
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    • 2003
  • Though the probability of tunnel fire accident is very low, but critical fatalities are expected when it occurred. In this study the effect of critical safety parameters on tunnel fire accident are examined using probabilistic technique. Fire detection time, smoke spread velocity, passenger escape velocity, flash-over time, and emergency service arrival time are considered. In order to estimate the uncertainties of input parameters Monte Carlo simulation are used, and fatalities for each assumed accident scenarios are obtained as results. For the efficiency of iterative calculation PRA(Probabilistic Risk Analysis) code is developed in this study. As a result fire detection have large effect.

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DETECTING LANDSLIDE LOCATION USING KOMSAT 1AND IT'S USING LANDSLIDE-SUSCEPTIBILITY MAPPING

  • Lee, Sa-Ro;Lee, Moung-Jin
    • Proceedings of the KSRS Conference
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    • v.2
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    • pp.840-843
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    • 2006
  • The aim of this study was to detect landslide using satellite image and apply the landslide to probabilistic landslide-susceptibility mapping at Gangneung area, Korea using a Geographic Information System (GIS). Landslide locations were identified by change detection technique of KOMSAT-1 (Korea Multipurpose Satellite) EOC (Electro Optical Camera) images and checked in field. For landslide-susceptibility mapping, maps of the topography, geology, soil, forest, lineaments, and land cover were constructed from the spatial data sets. Then, the sixteen factors that influence landslide occurrence were extracted from the database. Using the factors and detected landslide, the relationships were calculated using frequency ratio, one of the probabilistic model. Then, landslide-susceptibility map was drawn using the frequency ration and finally, the map was verified by comparing with existing landslide locations. As the verification result, the prediction accuracy showed 86.76%. The landslide-susceptibility map can be used to reduce hazards associated with landslides and to land cover planning.

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Direction of Arrival Estimation of GNSS Signal using Dual Antenna

  • Ong, Junho;So, Hyoungmin
    • Journal of Positioning, Navigation, and Timing
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    • v.9 no.3
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    • pp.215-220
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    • 2020
  • This paper deal with estimating the direction of arrival (DOA) of GNSS signal using two antennae for spoofing detection. A technique for estimating the azimuth angle of a received signal by applying the interferometer method to the GPS carrier signal is proposed. The experiment assumes two antennas placed on the earth's surface and estimates the azimuth angle when only GPS signal are received without spoofing signal. The proposed method confirmed the availability through GPS satellite placement simulation and experiments using a dual antenna GPS receiver. In this case of using dual antenna, an azimuth angle ambiguity of the received signal occurs with respect to the baseline between two antennas. For this reason, the accurate azimuth angle estimation is limits, but it can be used for deception by cross-validating the ambiguity.

Automatic Detection Approach of Ship using RADARSAT-1 Synthetic Aperture Radar

  • Kwan, Seung-Joon;Gong, In-Young;Yang, Chan-Su
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.29 no.1
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    • pp.147-152
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    • 2005
  • This paper proposes an evaluates a new approach to detect ships as targets from Radarsat-1 SAR (Synthetic Aperture Radar) imagery in the vicinity of Korean peninsula. To be more specific, a labeling technique and morphological filtering in conjunction with some other methods are employed to automatically detect the ships. From the test, the ships are revealed to be detected. For ground truth data, information from a radar system is used, which allows assessing accuracy of the approach. The results showed that the proposed approach has the high potential in automatically detecting the ships.

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