• Title/Summary/Keyword: Circular Object

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Unmanned accident prevention Arduino Robot using color detection algorithm (색 검지 알고리즘을 이용한 무인 사고방지 아두이노 로봇 개발)

  • Lee, Ho-Jeong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2015.05a
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    • pp.493-497
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    • 2015
  • This study was started with concern about problem of increasing physical and personal injury caused by traffic accidents, despite of technological advances in transportation. As the vehicles, which is currently produced, informs the driver only detecting the proximity of an object by the front and rear sensor, this study implemented the color detection algorithm, the circular shape recognition algorithm, and the distance recognition algorithm and built the accident prevention beyond accident perception, which commends to avoid the object or to stop the robot, if object was detected by algorithms. For the simulation, we made the Arduino vehicle robot equipped with compact wireless communication camera and confirmed that the robot successfully avoids an object or stops itself in simulated driving.

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Quality Enhancement of a Complex Holographic Display Using a Single Spatial Light Modulator and a Circular Grating

  • Bang, Le Thanh;Piao, Yan Ling;Kim, Jong Jae;Kim, Nam
    • Journal of the Optical Society of Korea
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    • v.20 no.1
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    • pp.70-77
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    • 2016
  • This paper proposes an optical system for complex holographic display that enhances the quality of the reconstructed three-dimensional image. This work focuses on a new design for an optical system and the evaluation of the complex holographic display, using a single spatial light modulator (SLM) and a circular grating. The optical system is based on a 4-f system in which the imaginary and real information of the hologram is displayed on concentric rectangular areas of the SLM and circular grating. Thus, this method overcomes the lack of accuracy in the pixel positions between two window holograms in previous studies, and achieves a higher intensity of the real object points of the reconstructed hologram than the original phase-reconstructed hologram. The proposed method provides approximately 30% less NMRS (Normal Root Mean Square) error, compared to previous systems, which is verified by both simulation and optical experiment.

Recognition of object in the robot gripper using tactile sensor (접촉센서를 이용한 로보트 gripper 내의 부품의 형상인식)

  • 윤지섭;이재설;박병석
    • 제어로봇시스템학회:학술대회논문집
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    • 1988.10a
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    • pp.422-427
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    • 1988
  • The purpose of this research is to develope a algorithm characterizing the grasp of the randomly fed objects using the tactile sensor. The tactile sensor used is composed of the 10 x 16 arrays of optical sensors and the planar resolution is 1.8 x 1.8 mm$^{2}$. The square and circular plate are used for the investigation of the characteristics of this sensor. The result shows that the measuring performance of the square plate is superior to that of the circular plate. Based upon this result the algorithm for the assembly of the electric plug was developed and was implemented using the mini-robot.

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Seismic Performance Evaluation of Circular RC Bridge Piers with Longitudinal Steel Lap Splice (주철근 겹이음에 따른 철근 콘크리트 교각의 내진성능 평가)

  • 이대형;박진영;정영수;조대연;이재훈
    • Proceedings of the Earthquake Engineering Society of Korea Conference
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    • 2001.09a
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    • pp.187-193
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    • 2001
  • The object of this research is to evaluate the seismic performance of existing circular reinforced concrete bridge piers by the Quasi-static test. Existing reinforced concrete bridge piers, which were non-seismical]y designed in accordance with the conventional provisions of Korea Highway Design Specification, are needed to rating evaluate seismic performance fur probable earthquake motions in future by developing a seismic analysis computer program with estimation algorithm. This study has been performed to verify the effect of lap spliced longitudinal steel, confinement steel type and confinement steel ratio for the seismic behavior of reinforced concrete bridge piers. Quasi-static test has been done to investigate the physical seismic performance of RC bridge piers, such as displacement ductility, energy absorption, strength degradation etc.

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Horseshoe Vortices variation around a Circular Cylinder with Upstream Cavity (상류 캐비티로 인한 실린더 주위의 유동장 변화)

  • Kang, Kyung-Jun;Kim, Dong-Beum;Song, Seung-Jin
    • Proceedings of the KSME Conference
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    • 2008.11b
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    • pp.2625-2630
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    • 2008
  • Horseshoe vortices are formed at the junction of an object immersed in fluid-flow and endwall plate as a result of three-dimensional boundary layer separation. This study shows preliminary results of the kinematics of such horseshoe vortices around a circular cylinder with a cavity (slot) placed upstream to disturb the primary separation line. Through the cavity, no mass flow addition (blowing) or reduction (suction) is applied. The upstream cavity weakens the adverse pressure gradient before the cavity. With the upstream cavity, a single vortex is found to form immediately upstream of the cylinder whereas a typical two vortex system is observed in the absence of the cavity. Furthermore, the strength of the single vortex tends to be reduced, resulting from the interaction with the separated flow convecting directly towards the leading edge of the cylinder.

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A study on object recognition using morphological shape decomposition

  • Ahn, Chang-Sun;Eum, Kyoung-Bae
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 1999.05a
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    • pp.185-191
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    • 1999
  • Mathematical morphology based on set theory has been applied to various areas in image processing. Pitas proposed a object recognition algorithm using Morphological Shape Decomposition(MSD), and a new representation scheme called Morphological Shape Representation(MSR). The Pitas's algorithm is a simple and adequate approach to recognize objects that are rotated 45 degree-units with respect to the model object. However, this recognition scheme fails in case of random rotation. This disadvantage may be compensated by defining small angle increments. However, this solution may greatly increase computational complexity because the smaller the step makes more number of rotations to be necessary. In this paper, we propose a new method for object recognition based on MSD. The first step of our method decomposes a binary shape into a union of simple binary shapes, and then a new tree structure is constructed which ran represent the relations of binary shapes in an object. finally, we obtain the feature informations invariant to the rotation, translation, and scaling from the tree and calculate matching scores using efficient matching measure. Because our method does not need to rotate the object to be tested, it could be more efficient than Pitas's one. MSR has an intricate structure so that it might be difficult to calculate matching scores even for a little complex object. But our tree has simpler structure than MSR, and easier to calculated the matchng score. We experimented 20 test images scaled, rotated, and translated versions of five kinds of automobile images. The simulation result using octagonal structure elements shows 95% correct recognition rate. The experimental results using approximated circular structure elements are examined. Also, the effect of noise on MSR scheme is considered.

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Tracking Control using Weight Center Movement (중심이동을 이용한 추적제어에 관한 연구)

  • Sin, Seung-Heon;Lee, Yong-Tae
    • Journal of the Ergonomics Society of Korea
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    • v.19 no.2
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    • pp.47-61
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    • 2000
  • To study the characteristic of the weight center control of humans, the tracking control capability of circular and wave motion by weight center movement was conducted by using the force platform. The control performance(the integrated value of the $|Object\;value(X)-Control\;Value(Y)|^{2}$) and control trace record was used to evaluate the individual performance characteristics. The size of the population for this study was 73, which consisted of engineering students, students majoring in taekwondo, students majoring in dance, all of which were in their twenties, and also people in their sixties. The results of this study indicate that the weight center control characteristics of humans can be represented by the evaluation method and values. People who were capable of tracking the object did not stop nor overshot the objective. In addition, habits or training characteristics and aging seemed to influence the performance of the subjects. In the future, development of different objectives for weight center control could be used to determine the severity of the disease of the subject and the effects of the treatment.

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Three-dimensional measurement of object surface and moving particles using at TV camera

  • Kawasue, Kikuhito;Iwamoto, Isamu;Ishimatsu, Takakazu
    • 제어로봇시스템학회:학술대회논문집
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    • 1997.10a
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    • pp.1302-1305
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    • 1997
  • A new approach to the three-dimensional measurement of the object surface and moving particles is introduced. A single TV camera with an apparatus to add the circular bias to the image enables us to record the three-dimensional information of measuring points as streaks on a single image. Every shaped of the streak on the image plane is related to the position of the measuring point. the information is extracted form the image using an image processign technique.

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Feature Based Map Building Method Using Sonar Data

  • Soo, Kang-Byung;Hwan, Lim-Jong
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.134.1-134
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    • 2001
  • The paper presents a sonar based map building method. The environment is a room or area inside a building, which is composed of four types of geometric primitives(corners, edges, cylinders, and walls). We also assume the environment can be modeled into two dimensional map in terms of planes(walls), points(corner and edge), and circle(cylinder). In a real world where most of the object surfaces are specular ones, a sonar sensor suffers from a multipath effect which results in a wrong interpretation of the location of an object. To reduce the effect and uncertainty, the method employs a simple thresholding technique for extracting circular arc features called regions of constant depth(RCD) from scanning sonar data. The usefulness of the approach is illustrated with the results produced by sets of experiments.

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Characterization of Microscale Objects based on the Diffraction Pattern Analysis (회절무늬를 이용한 미세물체의 특성 측정)

  • 강기호;전형욱;손정영;오명환
    • Korean Journal of Optics and Photonics
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    • v.2 no.1
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    • pp.1-6
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    • 1991
  • This paper describes the theoretical analysis of a diffraction pattern analyzer for the characterization of microscale object fields and a method for obtaining size and size distribution from the measured diffraction pattern of the object fields. For the experimental verification, a typical optical Fourier transform system was set up and calibrated with 2 5$\mu \textrm m$ and 50$\mu \textrm m$ pinholes. The system responses to distilled water droplets, alcohol, glycerin and silicon oil were imaged with vidicon, and the image was processed to determine the size distribution of each liquid particle field. The energy distribution function which is defined as the total intensity of a circular ring in the diffraction pattern was used to determine the dominant particle size of each liquid particle field.

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