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검색결과 881건 처리시간 0.025초

Vision-Based Roadway Sign Recognition

  • Jiang, Gang-Yi;Park, Tae-Young;Hong, Suk-Kyo
    • Transactions on Control, Automation and Systems Engineering
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    • 제2권1호
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    • pp.47-55
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    • 2000
  • In this paper, a vision-based roadway detection algorithm for an automated vehicle control system, based on roadway sign information on roads, is proposed. First, in order to detect roadway signs, the color scene image is enhanced under hue-invariance. Fuzzy logic is employed to simplify the enhanced color image into a binary image and the binary image is morphologically filtered. Then, an effective algorithm of locating signs based on binary rank order transform (BROT) is utilized to extract signs from the image. This algorithm performs better than those previously presented. Finally, the inner shapes of roadway signs with curving roadway direction information are recognized by neural networks. Experimental results show that the new detection algorithm is simple and robust, and performs well on real sign detection. The results also show that the neural networks used can exactly recognize the inner shapes of signs even for very noisy shapes.

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확장 작업업영역을 갖는 고속 3자유도 하이브리드 로봇 개발 (Development of a Novel 3-DOF Hybrid Robot with Enlarged Workspace)

  • 정성훈;김기성;곽경민;김한성
    • 한국산업융합학회 논문집
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    • 제23권5호
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    • pp.875-880
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    • 2020
  • In this paper, a novel 3-DOF hybrid robot with enlarged workspace is presented for high speed applications. The 3-DOF hybrid robot is made up of one linear actuator and 2-DOF planar parallel robot in series. The actuation consists of one ball-screw to make one linear motion and two rotary ball-screws to transmit rotational motion to 2-DOF parallel robot. The workspace can be enlarged according to ball-screw stroke and the moving inertia can be reduced due to locating all the heavy actuators at the fixed base. The inverse kinematics and workspace analyses are presented. The robot prototype and PC-based control system are developed.

전역근사최적화를 위한 소프트컴퓨팅기술의 활용 (Utilizing Soft Computing Techniques in Global Approximate Optimization)

  • 이종수;장민성;김승진;김도영
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 2000년도 봄 학술발표회논문집
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    • pp.449-457
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    • 2000
  • The paper describes the study of global approximate optimization utilizing soft computing techniques such as genetic algorithms (GA's), neural networks (NN's), and fuzzy inference systems(FIS). GA's provide the increasing probability of locating a global optimum over the entire design space associated with multimodality and nonlinearity. NN's can be used as a tool for function approximations, a rapid reanalysis model for subsequent use in design optimization. FIS facilitates to handle the quantitative design information under the case where the training data samples are not sufficiently provided or uncertain information is included in design modeling. Properties of soft computing techniques affect the quality of global approximate model. Evolutionary fuzzy modeling (EFM) and adaptive neuro-fuzzy inference system (ANFIS) are briefly introduced for structural optimization problem in this context. The paper presents the success of EFM depends on how optimally the fuzzy membership parameters are selected and how fuzzy rules are generated.

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살색 정보와 타원 모양 정보를 이용한 얼굴 검출 기법 (A Face Detection Algorithm using Skin Color and Elliptical Shape Information)

  • 강성화;김휘용;김성대
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2000년도 추계종합학술대회 논문집(4)
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    • pp.41-44
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    • 2000
  • In this paper, we present an efficient face detection algorithm for locating vertical views of human faces in complex scenes. The algorithm models the distribution of human skin color in YCbCr color space and find various ace candidate regions. Face candidate regions are found by thresholding with predetermined thresholds. For each of these face candidate regions, The sobel edge operator is used to find edge regions. For each edge region, we used an ellipse detection algorithm which is similar to hough transform to refine the candidate region. Finally if a substantial number of he facial features (eye, mouth) are found successfully in the candidate region, we determine he ace candidate region as a face region. e show empirically that the presented algorithm an find the face region very well in the complex scenes.

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최소 평균 페이징 지연을 위한 최적의 페이징 그룹 수에 관한 연구 (A Study of Optimal Group Number to Minimize Average Paging Delay)

  • 이구연
    • 산업기술연구
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    • 제25권B호
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    • pp.221-229
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    • 2005
  • We present a numerical analysis of the optimal group number for minimizing the average paging delay. In the analysis, we consider uniform distributions for location probability conditions and apply M/D/1 queueing model to paging message queues of cells. We also get the lower bounds of group numbers and investigate the minimum transmission capacity under average paging delay constraints. Minimizing the average paging delay is important because it means minimizing the amount of bandwidth used for locating mobile terminals. Therefore, the numerical results of this paper will be very useful in PCS system when designing its signalling capacity due to its simplicity and effectiveness.

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무선랜 RSSI 신호의 필터링을 통한 RTLS의 성능 개선에 관한 연구 (A Study on the RTLS Performance Improvement Using WLAN RSSI Level Filtering)

  • 이주현;강병권
    • 한국ITS학회:학술대회논문집
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    • 한국ITS학회 2010년도 춘계학술대회
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    • pp.184-187
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    • 2010
  • RFID 기술은 각 사물에 전자태그를 부착하고, 사물의 고유 ID를 무선으로 인식하여, 해당 정보를 수집, 저장, 추적함으로써 사물에 대한 측위, 원거리 관리 및 사물 간 정보교환 등의 서비스를 제공하는 기술이다. RFID의 응용 분야의 하나로 전자태그가 부착되어 있는 대상의 위치를 실시간으로 파악하고 확인할 수 있는 RTLS(Real Time Locating Systems) 기술이 새로이 부각되고 있다. 본 논문에서는 AP의 RSSI(Received Signal Strength Indication)를 이용해 데이터의 정확도를 위해 약 30회의 위치 추정을 통한 위치 추정의 정확도를 알아보고 스무딩을 통한 측정 거리의 오차를 확인했다. AP의 RSSI를 통한 위치추정은 AP가 설치된 건물내의 실내환경에서 이루어졌으며, 비교적 정확한 약 3m의 오차를 보였고, 필터링을 통한 교통 추정값은 그보다 약 0.5~1m 향상된 성능을 보였다.

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The development of the landmark tracking system

  • Lee, Eun Ho;Dickerson, Steve
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1991년도 한국자동제어학술회의논문집(국제학술편); KOEX, Seoul; 22-24 Oct. 1991
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    • pp.1894-1898
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    • 1991
  • A landmark tracking system(LTS) has been developed for use in locating objects in a manufacturing environment. The Landmark Tracking System is an integrated system which consists of a grey scale CCD camera, an image processor, an illumination system based on electronic flash, and software intended primarily for tracking retroreflective landmarks. The term "integreated" means that the camera electronics and the strobe electronics are directly linked to the computer system, governed by the same clock and under direct software control. A novel element in the LTS is that a pinhole is used for the optics.he optics.

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라디에이터 통과풍량 확보를 위한 수치적 검토 (Numerical Analysis for Improving Passing Flow Rate Quantity abound a Radiator)

  • 김은필;강상훈
    • Journal of Advanced Marine Engineering and Technology
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    • 제25권2호
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    • pp.304-310
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    • 2001
  • This paper describes the analysis of flow field using a projection finite element method. The projection scheme with a pressure correction is presented for the analysis of an incompressible Navier-Stokes flow. The projection scheme is analyzed numerically and applied to the well-known bench marking problems such as lid driven cavity. Finally, the projection scheme is applied to a flow through the automobiles front. In the automobiles cooling system, the flow through its front is very important to a cooling performance. The results show that the flow quantity increases by locating the position of bumper to the further front position of a car. And, the improvement on the suction part below a bumper achieves the more passing flow quantity. The attachment of an air dam increases passing flow quantity causing the pressure rise to the front part and the pressure drop beneath a car.

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적응공명이론에 의한 자동 부분형상 인식시스템 (Automatic partial shape recognition system using adaptive resonance theory)

  • 박영태;양진성
    • 전자공학회논문지B
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    • 제33B권3호
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    • pp.79-87
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    • 1996
  • A new method for recognizing and locating partially occluded or overlapped two-dimensional objects regardless of their size, translation, and rotation, is presented. Dominant points approximating occuluding contoures of objects are generated by finding local maxima of smoothed k-cosine function, and then used to guide the contour segment matching procedure. Primitives between the dominant points are produced by projecting the local contours onto the line between the dominant points. Robust classification of primitives. Which is crucial for reliable partial shape matching, is performed using adaptive resonance theory (ART2). The matched primitives having similar scale factors and rotation angles are detected in the hough space to identify the presence of the given model in the object scene. Finally the translation vector is estimated by minimizing the mean squred error of the matched contur segment pairs. This model-based matching algorithm may be used in diveerse factory automation applications since models can be added or changed simply by training ART2 adaptively without modifying the matching algorithm.

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실외 어린이 놀이터 놀이시설의 안전도에 관한 조사 (A Study on Playground Equipments′ Safety in the Outdoor Playground for Children)

  • 박은희;김현진;석주영;안옥희
    • 한국주거학회:학술대회논문집
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    • 한국주거학회 2000년도 학술발표대회논문집
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    • pp.149-153
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    • 2000
  • This study purposed to suggest basic data for establishing safety standards of play equipments by measuring actually the playground facilities which were installed at the playground and examining whether they were suitable to the standards or not. The results which investigated 59 outdoor playground locating in Taegu were as follow. As it examined in this study, the standards for swing and slide were established detailly and actual measurement's results were suitable to standards' value as well. Also the standards for seesaw and climber were not in detail and they were intend to design or install unsuitably in outdoor playground for children.

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