• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.407-407
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• 2000

For acquisition of 3-Dimensional information in real space, stereo vision system is suitable. In the stereo system, 3D real world position is derived from translation of coordinates between cameras and world. Thus, to use stereo vision, it is needed to construct a precise system which provides kinematically precise translation between camera and world coordinate, in spite of intricacy and hardness. So much cost and time should be spent to build the system. In this paper, facilely to solve previous problem, a method which can easily obtain 3D informations using reference objects and RSD(Relative Stereo Disparity) is proposed. Instead of direct computation of position with translation of coordinates, only relative stereo disparity in stereo pair of image is used to find the reference depth of objects, and real 3D position is computed with initial condition of reference objects. In computation, subpixel resolution is involved to find the display for accuracy. To find the RSD, corresponding points are calculated in subpixel resolution. So the result in experiemnt will be shown that subpixel resolution is more accurate than 1 pixel resolution.

• The Journal of Korean Physical Therapy
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• 제22권6호
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• pp.43-51
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• 2010

Purpose: This study examined the influence of visuomotor congruency on learning a relative phase relationship between a single joint movement and an external signal. Methods: Participants (N=5) were required to rhythmically coordinate elbow flexion-extension movements with a continuous sinusoidal wave (0.375 Hz) at a $90^{\circ}$ relative phase relationship. The congruent group was provided online feedback in which the elbow angle decreased (corresponding to elbow flexion) as the angle trajectory was movingup, and vice versa. The incongruent group was provided online feedback in which the elbow angle decreased as the angle trajectory was moving down, and vice versa. There were two practice sessions (day 1 and 2) and each session consisted of 6 trials per block (5 blocks per session). Retention tests were performed 24 hours after session 2, and only the external sinusoidal wave was provided. Repeated ANOVAs were used for statistical analysis. Results: During practice, the congruent group was significantly less variable than the incongruent group. Phase variability in the incongruent group did not significantly change across blocks, while variability decreased significantly in the congruent group. In retention, the congruent group produced the required $90^{\circ}$ relative phase pattern with significantly less phase variability than the incongruent group. Conclusions: Congruent visual feedback facilitates learning. Moreover, the deprivation of online feedback does not affect the congruent group but does affect the incongruent group in retention.

• 제어로봇시스템학회논문지
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• 제16권9호
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• pp.883-890
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• 2010

This paper proposes tip position control system which uses a visual marker to determine the tip position of a robot manipulator. The main idea of this paper is to introduce visual marker for the tracking control of a robot manipulator. Existing researches utilize stationary markers to get pattern information from them. Unlike existing researches, we introduce visual markers to get the coordinates of them in addition to their pattern information. Markers need not be stationary and the extracted coordinate of markers are used as a reference trajectory for the tracking control of a robot manipulator. To build the proposed control scheme, we first obtain intrinsic parameters through camera calibration and evaluate their validity. Secondly, we present a procedure to obtain the relative coordinate of a visual marker with respect to a camera. Thirdly, we derive the equation for the kinematics of the SCORBOTER 4pc manipulator which we use for control of manipulator. Also, we provide a flow diagram of entire visual marker tracking system. The feasibility of the proposed scheme will be demonstrated through real experiments.

• 한국정보통신학회논문지
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• 제16권11호
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• pp.2550-2556
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• 2012

본 논문에서는 노드의 위치정보를 측정함에 있어 거리정보에 기반을 두지 않은 방식(range-free)에서의 라우팅 에너지 효율성을 개선한 ALPS(Ad hoc network Localized Positioning System) 알고리즘을 제안한다. 본 논문에서 제안되는 ALPS 알고리즘은 계층적 클러스터 단위에 소속된 임의의 노드에 대한 위치정보를 RSSI(Received signal strength indication)에 의해 상대적 위치정보를 제공하는 방법이다. 제안된 알고리즘에 따른 위치정보를 사용 할 경우 기존의 DV-hop방식에 따른 노드의 평균 위치정보를 사용한 경우보다 계층적 좌표 방식에 의한 제안된 방식이 보다 최적화된 에너지 소모를 유지할 수 있는 경로 알고리즘을 제공하게 된다. 제공된 알고리즘의 성능 분석을 위해 본 논문에서는 상기 두 가지 방식의 위치정보에 따른 라우팅에서 소모되는 에너지 관계를 비교 하였고, 이로부터 보다 최적화된 에너지 경로 관리가 되는 결과를 보여주었다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.413-413
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• 2000

In this paper, we propose a series of calibrations f3r the x-ray three dimensional imaging system. In the developed x-ray system, a three dimensional inner and outer shape of an object can be reconstructed out of two dimensional transmitted x-ray image set, which are acquired by projecting x-ray to the object from different views. To achieve this, a reconstruction algorithm which estimates and updates the three dimensional volume from x-ray images is developed. The algorithm is named as uniform and simultaneous algebraic reconstruction technique(USART) which is an iterative method estimating a 3D volume based on its projected images. In this method, it is assumed that the imaging conditions that are the relative positions between the x-ray sources, object and the image planes are blown. Practically it is not easy to know the three dimensional coordinate of the components of the system, since the x-ray is not visible and the image distortions are present due to the optical components in the system. In this paper, methods of correcting image distortions are present firstly. Then the coordinates of the x-ray systems are calibrated from the x-ray images of the grid pattern. Some experimental results on these calibrations are present and discussed.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.83-83
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• 2000

Recently, Vision system has being used all around industry. Sensor systems are used for Mark Reader, for example, optical scanning is proximity sensor system, have many disadvantages, such as, lacking user interface and difficulty to store original specimens. In contrast with this, Vision systems for Mark Reader has many advantages, including function conversion to achieve other work, high accuracy, high speed, etc. In this thesis, we have researched the development of Mark Reader by using a Vision system. The processing course of this s)'stem is consist to Image Pre-Processing such as noise reduction, edge detection, threshold processing. And then, we have carried out camera calibration to calibrate images which are acquired from camera. After searching for reference point within scanning area(60pixe1${\times}$30pixe1), we have calculated points crossing by using line equations. And then, we decide to each ROI(region of interest) which are expressed by four points. Next we have converted absolute coordinate into relative coordinate for analysis a translation component. Finally we carry out Mark Reading with images classified by six patterns. As a result of experiment which follows the algorithm has proposed, we have get error within 0.5% from total image.

• 한국측량학회지
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• 제26권6호
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• pp.611-616
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• 2008

모바일 매핑시스템 (Mobile Mapping Systems)에 장착된 카메라로부터, 3차원 데이터를 취득시, 취득된 3차원 데이터의 정밀도를 결정하는 중요한 요소 중 하나는 IMU/GPS와 카메라 좌표계간의 상대적인 위치(lever-arm)와 자세(bore-sight) 얼라인먼트이다. 기존 연구는 지상기준점(GPS)을 통하여 카메라의 절대표정을 계산하기 때문에, 하나의 좌표계 (GPS 좌표계) 상에서 이 얼라인먼트가 이루어진다. 이 방법은 GCP을 기본적으로 필요로 하는 단점이 있다. 본 논문에서는 GCP가 필요하지 않고, 연관성이 없는 카메라 데이터와 IMU/GPS 데이터를 통하여 이 두좌표계 간의 얼라인먼트를 계산하는 수학적 모델링을 제시한다.

• 한국산업융합학회 논문집
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• 제24권6_1호
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• pp.693-698
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• 2021

As technology advances, there is increasing need for research in different fields where this technology is applied. On of the most researched topic in computer vision is Human activity recognition (HAR), which has widely been implemented in various fields which include healthcare, video surveillance and education. We therefore present in this paper a human activity recognition system based on scale and rotation while employing the Kinect depth sensors to obtain the human skeleton joints. In contrast to previous approaches that use joint angles, in this paper we propose that each limb has an angle with the X, Y, Z axes which we employ as feature vectors. The use of the joint angles makes our system scale invariant. We further calculate the body relative direction in the egocentric coordinates in order to provide the rotation invariance. For the system parameters, we employ 8 limbs with their corresponding angles each having the X, Y, Z axes from the coordinate system as feature vectors. The extracted features are finally trained and tested with the Long short term memory (LSTM) Network which gives us an average accuracy of 98.3%.

• 대한기계학회논문집A
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• 제36권3호
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• pp.339-346
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• 2012

철도차량의 집전성능 및 이선율에 대한 사전 평가는 철도차량의 고속화와 더불어 중요시되는 문제이다. 본 논문에서는 유연체 다물체 동역학 해석 기법을 이용하여 가선과 판토그래프 사이의 동적상호작용에 대한 시뮬레이션 모델을 개발하였다. 해석 모델에서 판토그래프는 강체로 모델링 하였으며, 가선계는 탄성 대변형체의 거동을 효과적으로 표현할 수 있는 절대절점좌표를 이용하여 구현하였다. 또한, 가선계와 판토그래프 간의 동적 상호작용의 표현을 위하여 서로간의 상대운동은 슬라이딩 조인트를 이용하여 구속하였다. 개발된 해석 프로그램을 이용하여 철도차량의 주행 속도에 따라 발생하는 접촉력 및 이선율을 평가하였다. 개발 프로그램의 해석 모델 및 시뮬레이션에 대한 신뢰성은 가선계와 판토그래프의 동적 상호작용 시뮬레이션 방법에 대한 국제 규정인 EN 50318에 의하여 검증하였다. 해석 모델의 개발을 통하여 개발 중인 고속철도의 집전성능을 평가할 수 있는 기반을 마련하였다.

• 정보과학회 논문지
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• 제43권5호
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• pp.562-568
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• 2016

포인트 클라우드 데이터는 어떠한 형태를 표현하기 위해 무수히 많은 점들을 갖는 데이터 집합으로 특정 벡터 시스템에서 표현될 수 있으며, 일반적으로 3차원 좌표 공간에서 다양한 특성을 갖게 된다. 본 논문은 3차원 좌표 시스템의 포인트 클라우드에서 기존 방법(Hough Transform)보다 빠른 실린더 형태의 파이프 추정을 목표로 한다. 이를 위해 비교적 빠른 RANdom SAmple Consensus(RANSAC)를 사용한다. 본 논문에서 제안하는 실린더 형태의 파이프 추정은 두 가지 형태의 수학적 모델을 근거로 파라미터를 계산하고, 결과를 조합하여 예측한다. 두 가지 수학적 모델은 구(Sphere)와 직선(Line)이며, RANSAC 적합을 통해 실린더의 축과 반지름이 될 수 있는 구의 파라미터(중심과 반지름)를 계산하고, 이를 직선화하여 실린더를 추정한다. 이는 법선 추정(Normal Estimation) 및 분할(Segmentation) 없이 비교적 정확도를 유지하며, 빠르게 실린더 매칭을 할 수 있게 한다. 빠른 실린더 매칭은 실시간 파이프 추정이 필요한 레이저 스캐닝 및 건설 역설계 분야에서 활용할 수 있을 것이다.