• Title/Summary/Keyword: Reference target

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Difference in Peak and Integrated Target Strengths Depending on Signal Duration Using a Time-Domain Physical Diffraction Theory

  • Lee, Keun-Hwa;Park, Sang-Hyun;Yang, In-Sik;Oh, Won-Tchon;Seong, Woo-Jae
    • The Journal of the Acoustical Society of Korea
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    • v.28 no.3E
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    • pp.88-92
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    • 2009
  • The target strength (TS) is calculated from the measured signal using the definition of the peak TS (PTS) or the integrated TS (ITS). These two types of TS sometimes give different results depending on what the pulse duration is. In this paper, we model the scattered time signal by the numerical code based on the physical diffraction theory and examine the effect of the pulse duration on the value of PTS or ITS. The transformed TS (TTS) for the frequency domain is used as a reference solution.

Tracking a Selected Target among Multiple Moving Objects (다수의 물체가 이동하는 환경에서 선택된 물체의 추적기법)

  • 김준석;송필재;차형태;홍민철;한헌수
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.363-363
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    • 2000
  • The conventional algorithms which identify and follow a moving target using a camera located at a fixed position are not appropriate for applying to the cases o( using mobile robots, due to their long processing time. This paper proposes a new tracking algorithm based on the sensing system which uses a line light with a single camera. The algorithm categirizes the motion patterns of a pair of mobile objects into parallel, branching, and merging motion, to decide of which objects the trajectories should be calculated to follow the reference object. Kalman Filter is used to estimate the trajectories of selected objects. The proposed algorithm has shown in the experiments that the mobile robot does not miss the target in most cases.

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PCB Defects Detection using Connected Component Classification (연결 성분 분류를 이용한 PCB 결함 검출)

  • Jung, Min-Chul
    • Journal of the Semiconductor & Display Technology
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    • v.10 no.1
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    • pp.113-118
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    • 2011
  • This paper proposes computer visual inspection algorithms for PCB defects which are found in a manufacturing process. The proposed method can detect open circuit and short circuit on bare PCB without using any reference images. It performs adaptive threshold processing for the ROI (Region of Interest) of a target image, median filtering to remove noises, and then analyzes connected components of the binary image. In this paper, the connected components of circuit pattern are defined as 6 types. The proposed method classifies the connected components of the target image into 6 types, and determines an unclassified component as a defect of the circuit. The analysis of the original target image detects open circuits, while the analysis of the complement image finds short circuits. The machine vision inspection system is implemented using C language in an embedded Linux system for a high-speed real-time image processing. Experiment results show that the proposed algorithms are quite successful.

Dead Pixel Detection Method by Different Response at Hot & Cold Images for Infrared Camera

  • Ye, Seong-Eun;Kim, Bo-Mee
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.11
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    • pp.1-7
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    • 2018
  • In this paper, we propose soft dead pixels detection method by analysing different response at hot and cold images. Abnormal pixels are able to effect detecting a small target. It also makes confusing real target or not cause of changing target size. Almost exist abnormal pixels after image signal processing even if dead pixels are removed by dead pixel compensation are called soft dead pixels. They are showed defect in final image. So removing or compensating dead pixels are very important for detecting object. The key idea of this proposed method, detecting dead pixels, is that most of soft deads have different response characteristics between hot image and cold image. General infrared cameras do NUC to remove FPN. Working 2-reference NUC must be needed getting data, hot & cold images. The way which is proposed dead pixel detection is that we compare response, NUC gain, at each pixel about two different temperature images and find out dead pixels if the pixels exceed threshold about average gain of around pixels.

Nonlinear 3D image correlator using computational integral imaging reconstruction method (컴퓨터 집적 영상 복원 방법을 이용한 비선형 3D 영상 상관기)

  • Shin, Dong-Hak;Hong, Seok-Min;Kim, Kyoung-Won;Lee, Byung-Gook
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2012.05a
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    • pp.155-157
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    • 2012
  • In this paper, we propose a nonlinear 3D image correlator using computational reconstruction of 3D images based on integral imaging. In the proposed method, the elemental images for reference 3D object and target 3D object are recorded through the lens array. The recorded elemental images are reconstructed as reference plane image and target plane images using the computational integral imaging reconstruction algorithm and the nonolinear correlation between them is performed for object recognition. To show the usefulness of the proposed method, the preliminary experiments are carried out and the experimental results are presented compared with the conventional results.

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Robust Relative Localization Using a Novel Modified Rounding Estimation Technique

  • Cho, Hyun-Jong;Kim, Won-Yeol;Joo, Yang-Ick;Seo, Dong-Hoan
    • Journal of Advanced Marine Engineering and Technology
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    • v.39 no.2
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    • pp.187-194
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    • 2015
  • Accurate relative location estimation is a key requirement in indoor localization systems based on wireless sensor networks (WSNs). However, although these systems have applied not only various optimization algorithms but also fusion with sensors to achieve high accuracy in position determination, they are difficult to provide accurate relative azimuth and locations to users because of cumulative errors in inertial sensors with time and the influence of external magnetic fields. This paper based on ultra-wideband positioning system, which is relatively suitable for indoor localization compared to other wireless communications, presents an indoor localization system for estimating relative azimuth and location of location-unaware nodes, referred to as target nodes without applying any algorithms with complex variable and constraints to achieve high accuracy. In the proposed method, the target nodes comprising three mobile nodes estimate the relative distance and azimuth from two reference nodes that can be installed by users. In addition, in the process of estimating the relative localization information acquired from the reference nodes, positioning errors are minimized through a novel modified rounding estimation technique in which Kalman filter is applied without any time consumption algorithms. Experimental results show the feasibility and validity of the proposed system.

INTEGRATED CONTROL SYSTEM DESIGN OF ACTIVE FRONT WHEEL STEERING AND FOUR WHEEL TORQUE TO IMPROVE VEHICLE HANDLING AND STABILITY

  • Wu, J.Y.;Tang, H.J.;Li, S.Y.;Zheng, S.B.
    • International Journal of Automotive Technology
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    • v.8 no.3
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    • pp.299-308
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    • 2007
  • This study proposes a two-layer hierarchical control system that integrates active front wheel steering and four wheel braking torque control to improve vehicle handling performance and stability. The first layer is a robust model matching controller (R-MMC) based on linear matrix inequalities (LMIs), which optimizes an active front steering angle compensation and a desired yaw moment control, and calculates reference wheel slip for the target wheel according to the desired yaw moment. The second layer is a moving sliding mode controller (MSMC) that can track the reference wheel slip in a predetermined time by commanding proper braking torque on the target wheel to achieve the desired yaw moment. Since vehicle sideslip angle measurement is difficult to achieve in practice, a sliding mode observer (SMO) that requires only vehicle yaw rate as the measured input is also developed in this study. The performance and robustness of the SMO and the integrated control system are demonstrated through comprehensive computer simulations. Simulation results reveal the satisfactory tracking ability of the SMO, and the superior improved vehicle handling performance, stability and robustness of the integrated control vehicle.

Implementation of a Labview Based Time-Frequency Domain Reflectometry Real Time System for the Load Impedance Measurement (부하 임피던스 측정을 위한 랩뷰기반 시간-주파수 영역 반사파 실시간 시스템 구현)

  • Park, Tae-Geun;Kwak, Ki-Seok;Park, Jin-Bae;Yoon, Tae-Sung
    • Proceedings of the KIEE Conference
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    • 2006.07d
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    • pp.1803-1804
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    • 2006
  • The purpose of this paper is to implement a Labview based TFDR Real Time system through the instruments of Pci eXtensions for Instrumentation(PXI). The proposed load impedance measurement algorithm was verified by experiments via the implemented real time system. The TFDR real time system consisted of the reference signal design, signal generation, signal acquisition, algorithm execution and results display parts. To implement real time system, all of the parts wore programmed by the Labview which is one of graphical programming languages. In the application software implemented by the Labview we were able to design a suitable reference signal according to the length and frequency attenuation characteristics of the target cable and controled the arbitrary waveform generator(ZT500PXI) of the signal generation part and the digital storage oscilloscope(ZT430PXI) of the signal acquisition part. By using the TFDR real time system with the terminal resistor on the target cable, we applied to the load impedance measurements. In the proposed load impedance algorithm a normalized time-frequency cross correlation function and a cross time-frequency distribution function was employed to calculate the reflection coefficient and phase difference between the input and the reflected signals.

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Preliminary Study on the Elemental Quantification of in Ambient Liquid Samples of Microliter Volume Using the In-air Micro-PIXE Technique

  • Ma, Chang-Jin;Lim, Cheol-Soo;Sakai, Takuro
    • Asian Journal of Atmospheric Environment
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    • v.11 no.1
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    • pp.54-60
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    • 2017
  • Quantifying the trace elements in infinitesimal ambient liquid samples (e.g., single raindrop, cloud/fog water, and the soluble fraction extracted from the particles collected for a short time) is an important task for understanding formation processes, heating/cooling rates, and their health hazards. The purpose of this study is to employ an in-air micro PIXE system for quantitative analysis of the trace elements in a thimbleful of reference liquid sample. The bag type liquid sample holder originally designed with $10{\mu}m$ thick $Mylar^{(R)}$ film retained the original shape without any film perforation and apparent peaks of film blank by the end of the analysis. As one of tasks to be solved, the homogeneity of the elemental distribution in liquid reference species was verified by the X-ray line profiles for several references. It was possible to resolve the significant peaks for whole target elements corresponding to the channel number of micro-PIXE spectrum. The calibration curves for the six target elements (Si, S, Cl, Fe, Ni, and Zn) in standard solutions were successfully plotted by concentration (ppm) and ROI of interest net counts/dose (nC).

RF Seeker Measurement modeling using ISAR Image (ISAR 영상을 이용한 RF탐색기 측정치 모델링)

  • Ha, Hyun-Jong;Park, Woosung;Jung, Ki-Hwan;Park, Sang-Sup;Koh, Il-Suek;Ryoo, Chang-Kyung
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.43 no.1
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    • pp.40-48
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    • 2015
  • In this paper, we suggest a measurement modeling of the RF seeker using the ISAR(Inverse Synthetic Aperture Radar) image. Reference scattering points are extracted first from ISAR images which are changed according to target attitude. And then uncertainties included in RF seeker measurement such as noise strength, blink, and boresight error are added to the reference scattering points. The proposed measurement model of the RF seeker can be used to develop various kinds of target tracking algorithms.