• Title/Summary/Keyword: MapWindow

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The Developments of State CHDL and Two-Level Minimizer for State Machine Synthesizer (상태합성기(State Machine Synthesizer) 설계를 위한 상태 CHDL 개발 및 Two-level minimizer 개발에 관한 연구)

  • 김희석;이근만;임인칠
    • Journal of the Korean Institute of Telematics and Electronics A
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    • v.29A no.4
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    • pp.83-90
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    • 1992
  • The state machine synthesizer is widely used to FSM synthesis. In this paper, we developed the state machine description language "state CHDL" such as IF, THEN, ELSE, SWITCH, CASE statements. Also, an algorithm for efficient state minimization and two level minimizer of FSM and graphical user interface-pin map window, supporting the designer with input-ouput effency, are presented.

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A blocking effect reduction method for disparity computation under the block matching algorithm (블록 매칭 기반에서 디스페리티의 블록킹 현상을 줄이는 알고리즘)

  • 송원석;유용현;문정환;김민기
    • Proceedings of the IEEK Conference
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    • 2003.07e
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    • pp.1996-1999
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    • 2003
  • Stereo matching is an important technique in the are of computer vision. There are already many theorems to find disparity map using stereo images. Usually, disparity is searched by using block matching. However block matching result in blocking effects caused by using fixed size window for computing pixel correlations. This paper suggests an efficient method to remove the blocking effect in stereo matching procedures.

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Self-Localization of Mobile Robot Using Single Camera (단일 카메라를 이용한 이동로봇의 자기 위치 추정)

  • 김명호;이쾌희
    • 제어로봇시스템학회:학술대회논문집
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    • 2000.10a
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    • pp.404-404
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    • 2000
  • This paper presents a single vision-based sel(-localization method in an corridor environment. We use the Hough transform for finding parallel lines and vertical lines. And we use these cross points as feature points and it is calculated relative distance from mobile robot to these points. For matching environment map to feature points, searching window is defined and self-localization is performed by matching procedure. The result shows the suitability of this method by experiment.

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High Performance Lossless Data Embedding Using a Moving Window (움직이는 창을 이용한 고성능 무손실 데이터 삽입 방법)

  • Kang, Ji-Hong;Jin, Honglin;Choe, Yoon-Sik
    • Journal of Broadcast Engineering
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    • v.16 no.5
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    • pp.801-810
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    • 2011
  • This paper proposes a new lossless data embedding algorithm on spatial domain of digital images. A single key parameter is required to embed and extract data in the algorithm instead of embedding any additional information such as the location map. A $3{\times}3$ window slides over the cover image by one pixel unit, and one bit can be embedded at each position of the window. So, the ideal embedding capacity equals to the number of pixels in an image. For further increase of embedding capacity, new weight parameters for the estimation of embedding target pixels have been used. As a result, significant increase in embedding capacity and better quality of the message-embedded image in high capacity embedding have been achieved. This algorithm is verified with simulations.

Matching Techniques with Land Cover Image for Improving Accuracy of DEM Generation from IKONOS Imagery (IKONOS 영상을 이용한 DEM 추출의 정확도 향상을 위한 토지피복도 활용 정합기법)

  • Lee, Hyo Seong;Park, Byung Uk;Han, Dong Yeob;Ahn, Ki Weon
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.1D
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    • pp.153-160
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    • 2009
  • In relation to digital elevation model(DEM) production using high resolution satellite imagery, existing studies present that DEM accuracy differently show according to land cover property. This study therefore proposes auto-selection method of window size for correlation matching according to land cover property of IKONOS Geo-level stereo image. For this, land cover classified image is obtained by IKONOS color image with four bands. In addition, correlation-coefficients are computed at regular intervals in pixels of the window-search area to shorten of matching time. As the results, DEM by the proposed method showed more accurate than DEM using the fixed window-size matching. We estimate that accuracy of the proposed DEM improved more than DEM by digital map and ERDAS in agricultural land.

Implementation of an Indoor Mobile Robot and Environment Recognition using Line Histogram Method (실내 자율주행 로봇의 구현 및 라인 히스토그램을 이용한 환경인식)

  • Moon, Chan-Woo;Lee, Young-Dae
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.9 no.2
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    • pp.45-50
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    • 2009
  • The environment exploration is an essential process for indoor robots such as clean robot and security robot. Apartment house and office building has common frame structure, but internal arrangement of each room may be slightly different. So, it is more convenient to use a common frame map than to build a new map at every time the arrangement is changed. In this case, it is important to recognize invariant features such as wall, door and window. In this paper, an indoor mobile robot is implemented, and by using the laser scanner data and line segment histogram with respect to segment orientation and distance, an environment exploration method is presented and tested. This robot is fitted with a laser scanner, gyro sensor, ultra sonic sensor and IR sensor, and programed with C language.

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The Fracjection: An analytical system for projected fractures onto rock excavation surface from boreholes and outcrops (시추 및 야외조사 자료의 절취면 투영 분석 시스템 Fracjection)

  • Hwang, Sang-Gi;Lim, Yu-Jin
    • Proceedings of the KSR Conference
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    • 2007.05a
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    • pp.1882-1889
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    • 2007
  • Surveying rocks for engineering aims for prediction of geological feature of the construction site. Conventionally, survey information at outcrops and bore holes are projected to the construction sites, such as tunnel and slopes, and rock properties of the sites are predicted by interpretations of specialists. This system, the "Fracjection", aims to assist the specialist for visualization of the projected fractures from borehole and outcrop survey. The Fracjection accepts the BIPS and outcrop survey data to its database and allows plotting them in AutoCad map. The software also reads elevation data from contours of the topographic map and constructs DEM of the construction sites. With user's guide, it generates 3D excavation sites such as slopes and tunnels at the topographic map. The s/w projects borehole and outcrop surveyed fractures onto the modeled excavation surface and allows analysis of failure criteria, such as plane, wedge, and toppling failures by built-in stereonet function. Projected fractures can further be analyzed for structural homogeneities and rock mass quality. Moving window style correlation comparison of stereonet plots are used for formal analyses, and RQD type counts of the projected fractures are adopted for the latter analyses.

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Performance Analysis on Various Design Issues of Turbo Decoder (다양한 Design Issue에 대한 터보 디코더의 성능분석)

  • Park Taegeun;Kim Kiwhan
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.29 no.12A
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    • pp.1387-1395
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    • 2004
  • Turbo decoder inherently requires large memory and intensive hardware complexity due to iterative decoding, despite of excellent decoding efficiency. To decrease the memory space and reduce hardware complexity, various design issues have to be discussed. In this paper, various design issues on Turbo decoder are investigated and the tradeoffs between the hardware complexity and the performance are analyzed. Through the various simulations on the fixed-length analysis, we decided 5-bits for the received data, 6-bits for a priori information, and 7-bits for the quantization state metric, so the performance gets close to that of infinite precision. The MAX operation which is the main function of Log-MAP decoding algorithm is analyzed and the error correction term for MAX* operation can be efficiently implemented with very small hardware overhead. The size of the sliding window was decided as 32 to reduce the state metric memory space and to achieve an acceptable BER.

Soil Deformation Tracking in Model Chamber by Targetless Close-Range Photogrammetry (무타겟 사진측량 기반 모형 토조 내 지반 변위 측정)

  • Lee, Chang No;Oh, Jae Hong
    • Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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    • v.37 no.6
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    • pp.555-562
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    • 2019
  • This paper presents soil deformation measurement in model chamber based on photogrammetry. We created an aluminum framed acrylic model chamber with soil inside and applied photogrammetry to measure soil deformation caused by loading tests. The soil consists of 40% black and 60% regular sand to create image contrast in soil images. In preprocessing, the self camera calibration was carried out for IOPs (Interior Orientation Parameters), followed by the space resection to estimate EOPs (Exterior Orientation Parameters) using control points located along the aluminum frame. Image matching was applied to measure the soil displacement. We tested different matching window sizes and the effect of image smoothing. Experimental results showed that 65x65 pixels of window size produced better soil deformation map and the image smoothing was useful to suppress the matching outliers. In conclusion, photogrammetry was able to efficiently generated soil deformation map.

Slective Buffering Macro Handover Which Applies The F-SNOOP in Hierarchical structure (계층 구조에서 F-SNOOP을 적용한 선택적 버퍼링 매크로 핸드오버)

  • Ahn Chi-Hyun;Kim Dong-Hyun;Kim Hyoung-Chul;Ryou Hwang-Bin;Lee Dae-Young;Jun Kye-Suk
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.31 no.5B
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    • pp.413-420
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    • 2006
  • HMIPv6 is designed to reduce the signaling load to external network and improve handover speed of MN by including Mobility Anchor Point(MAP) in local handover. However in this case of macro handover, it's just used pervious MIPv6 handover algorithm. So, it occurs packet loss and transmission delay problem. In this paper, we propose the mechanism applying the HMIPv6 for Fast Handover to choose suitable to the condition buffering handover. The condition for the selection is result distance measurement between MN and CN, between MN and NAR. Furthermore, using F-SNOOP protocol, it is possible to improve wireless network performance. Wireless network has high Bit Error Rate(BER) characteristic because of path loss, fading, noise and interference. TCP regards such errors as congestion and starts congestion control. This congestion control makes packet transmission rate low. However, F-SNOOP improves TCP performance based on SNOOP and Freeze TCP that use Zero Window Advertisement(ZWA) message when handoff occurs in wireless network.