• Title/Summary/Keyword: Image Board

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Turbulent Flow Simulations on 2-Dimensional Ground Effect Part II. Study on the Effects of Ground Boundary Conditions (2차원 지면효과에 대한 난류 유동장 해석 Part II. 지면경계 조건의 영향에 대한 연구)

  • Kim, Yoon-Sik;Lee, Jae-Eun;Kim, Eu-Gene;Kwon, Jang-Hyuk
    • Journal of the Korean Society for Aeronautical & Space Sciences
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    • v.35 no.8
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    • pp.670-676
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    • 2007
  • A comparative study on ground boundary conditions for the airfoil in ground effect has been carried out. The objective of the present study is to clarify effects of the ground boundary conditions so that it will be helpful to analyse results of wind tunnel tests using the fixed ground board or the image method. A low Mach number preconditioned Navier-Stokes solver using the overlap grid method has been applied. It has been turned out that results with the symmetric boundary condition are almost the same to those with the moving boundary condition. Results with the fixed ground boundary show discrepancy to those with the moving boundary condition when flow separation on the ground board takes place.

Motion analysis system using image processing (화상처리를 이용한 동작분석 시스템에 관한 연구)

  • 박경수;반영환;이안재;임창주;오인석;이현철
    • Journal of the Ergonomics Society of Korea
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    • v.16 no.3
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    • pp.71-75
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    • 1997
  • This paper presents the development of videobased 3-dimensional tracking system. Measurement of human motion is important in the application of ertonomics. The system uses advanced direct video measurement technology. Passive retro-reflecting markers are attached to a subject and movements of markers are observed by two CCD cameras. Infrared light emitted near the CCD cameras is reflected by the markers and is detected by the cameras. The images are captured by Samsung MVB302 board and the centers of markers are calculated by DSP program. The positions of markers are transferred from MVB02 board to the computer through AT bus. The computer then tracks the position of each marker and saves the data. This system has dynamic accuracy with 0.7% average error and 4.2% maximum error, and the sampling rate to 6 .approx. 10 Hz, and this system can analyse the trajectory and speed of the marker. The results of this study can be used for operator's motion analysis, task analysis, and hand movement characteristic analysis.

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The Study of Implementation of Sign Board Receiving DARC for Vehicle 3. The Management of Sign Board Information (차량용 FM부가방송 수신 전광판의 구현에 관한 연구 3. 차량용 FM 부가방송 수신 전광판 시스템 정보 관리)

  • 최재석;김영길
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.6 no.8
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    • pp.1181-1186
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    • 2002
  • This system is controlled by PC application programs through USB interface. PC application programs make image files, user's files , sound files and option files. And these files are downloaded to external memory card of this system. The other PC application programs monitor status of DARC, GPS, LED module of this system. The PC application programs help user manage this system efficiently.

Implementation of AHB1-AHB2 Multi-Bus Architecture Using Memory Selector (메모리 셀렉터를 이용한 AHB1-AHB2 다중버스 아키텍처 구조 구현)

  • Lee, Keun-Hwan;Lee, Kook-Pyo;Yoon, Yung-Sup
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.527-528
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    • 2008
  • In this paper, several cases of multi-shared bus architecture are discussed and in order to decrease the bridge latency, the architecture introducing a memory decoder is proposed. Finally, a LCD controller using DMA master is integrated in this bus architecture that is verified due to RTL simulation and FPGA board test. DMA, LCD line buffer and SDRAM controller are normally operated in the timing simulation using ModelSim tool, and the LCD image is confirmed in the real FPGA board containing LCD panel.

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Video-based 3-dimensional tracking system (영상을 이용한 3차원 위치 추적 시스템 개발1)

  • 박경수;반영환;이안재;임창주
    • Proceedings of the ESK Conference
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    • 1996.10a
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    • pp.160-165
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    • 1996
  • This paper presents the development of video-based 3-dimensional tracking system. Measurement of human motion is important in the application of ergonomics. The system uses advanced direct video measurement technology. Passive retro-reflecting markers are attached to a subject and movements of markers are observed by two CCD cameras. Infrared light emitted near the CCD cameras is reflected by the markers and is detected by the cameras. The image ae captured by Samsung MVBO2 board and the center of markers is calculated by DSP program. The position of markers are transferred from MVB02 board to the computer through AT bus. The computer then tracks the position of each marker and saves the data. This system has dynamic accuracy with 1% error and the sampling rate to 6-10 Hz, and can analyse the trajectory and speed of the marker. The results of this study can be used for operators motion analysis, task analysis, and hand movement characteristic analysis.

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Embedded Software Development for MSC on KOMPSAT-2

  • Heo, H.P.;Kong, J.P.;Yong, S.S.;Kim, Y.S.;Park, J.E.;Youn, H.S.;Paik, H.Y.
    • Proceedings of the KSRS Conference
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    • 2003.11a
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    • pp.1093-1095
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    • 2003
  • MSC(Multi-Spectral Camera) system is a remote sensing instrument to obtain high resolution ground image. MSC system includes main control unit, called SBC(Single Board Computer). SBC controls all the sub-units of MSC system and communicates with spacecraft bus. The software developed for SBC should be reliable and autonomous to support various kinds of imaging missions. It is being developed using VxWorks real-time operating system to manage all tasks for all units efficiently. In this paper, the characteristics of the embedded software on the MSC system will be presented. It covers the hardware related characteristics like the BSP(Board Support Package), device driver and code patch mechanism.

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3-DOF automatic printed board positioning system using impact drive mechanism

  • Mendes, J.;Nishimura, M.;Yamagata, Y.;Higuchi, T.
    • 제어로봇시스템학회:학술대회논문집
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    • 1996.10a
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    • pp.129-132
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    • 1996
  • There is a tendency nowadays to produce increasingly miniaturized electronic equipment which incorporate parts that have to be precisely positioned, like lenses, heads and CCD's in scanners, printers, copiers, VCR's, optical fiber modules, etc. In contrast to the production process of precision parts, which is currently being carried out automatically, the assemblage process is still being performed by specially skilled technicians. The assemblage process comprises normally the following steps: firstly, the parts are roughly positioned and partially fixed, secondly, the parts are manually nudged towards the target position and finally glued, screwed or welded. This paper presents a system that uses six piezo Impact Drive Mechanisms for accurate micro positioning within three degrees of freedom (lateral and longitudinal translation and rotation). The system is designed to positioning a printed circuit board with an accuracy better than 3 .mu.m (for translations), 5 mrad (for rotation).

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Three-dimensional Geometrical Scanning System Using Two Line Lasers (2-라인 레이저를 사용한 3차원 형상 복원기술 개발)

  • Heo, Sang-Hu;Lee, Chung Ghiu
    • Korean Journal of Optics and Photonics
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    • v.27 no.5
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    • pp.165-173
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    • 2016
  • In this paper, we propose a three-dimensional (3D) scanning system based on two line lasers. This system uses two line lasers with different wavelengths as light sources. 532-nm and 630-nm line lasers can compensate for missing scan data generated by geometrical occlusion. It also can classify two laser planes by using the red and green channels. For automatic registration of scanning data, we control a stepping motor and divide the motor's rotational degree of freedom into micro-steps. To this end, we design a control printed circuit board for the laser and stepping motor, and use an image processing board. To compute a 3D point cloud, we obtain 200 and 400 images with laser lines and segment lines on the images at different degrees of rotation. The segmented lines are thinned for one-to-one matching of an image pixel with a 3D point.

A Study of Digitalizing Analog Gamma Camera Using Gamma-PF Board (Gamma-PF 보드를 이용한 아날로그 감마카메라의 디지털화 연구)

  • Kim, Hui-Jung;So, Su-Gil;Bong, Jeong-Gyun;Kim, Han-Myeong;Kim, Jang-Hwi;Ju, Gwan-Sik;Lee, Jong-Du
    • Journal of Biomedical Engineering Research
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    • v.19 no.4
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    • pp.351-360
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    • 1998
  • Digital gamma camera has many advantages over analog gamma camera. These include convenient quality control, easy calibration and operation, and possible image quantitation which results in improving diagnostic accuracies. The digital data can also be utilized for telemedicine and picture archiving and communication system. However, many hospitals still operate analog cameras and have difficult situation to replace them with digital cameras. We have studied a feasibility of digitalizing an analog gamma camera into a digital camera using Gamma-PF interface board. The physical characteristics that we have measured are spatial resolution, sensitivity, uniformity, and image contrast. The patient's data obtained for both analog and digital camera showed very similar image quality. The results suggest that it may be feasible to upgrade an analog camera into a digital gamma camera in clinical environments.

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Feature Representation Method to Improve Image Classification Performance in FPGA Embedded Boards Based on Neuromorphic Architecture (뉴로모픽 구조 기반 FPGA 임베디드 보드에서 이미지 분류 성능 향상을 위한 특징 표현 방법 연구)

  • Jeong, Jae-Hyeok;Jung, Jinman;Yun, Young-Sun
    • Journal of Software Assessment and Valuation
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    • v.17 no.2
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    • pp.161-172
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    • 2021
  • Neuromorphic architecture is drawing attention as a next-generation computing that supports artificial intelligence technology with low energy. However, FPGA embedded boards based on Neuromorphic architecturehave limited resources due to size and power. In this paper, we compared and evaluated the image reduction method using the interpolation method that rescales the size without considering the feature points and the DCT (Discrete Cosine Transform) method that preserves the feature points as much as possible based on energy. The scaled images were compared and analyzed for accuracy through CNN (Convolutional Neural Networks) in a PC environment and in the Nengo framework of an FPGA embedded board.. As a result of the experiment, DCT based classification showed about 1.9% higher performance than that of interpolation representation in both CNN and FPGA nengo environments. Based on the experimental results, when the DCT method is used in a limited resource environment such as an embedded board, a lot of resources are allocated to the expression of neurons used for classification, and the recognition rate is expected to increase.