• Journal of the Korea Society of Computer and Information
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• v.11 no.1 s.39
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• pp.97-105
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• 2006

Over the last several years, studies on spatial index have increased in proportion to the increase in the spatial data. Most of these studies, however were on the indices based on R-tree by adding or changing some options, and there are a few studies on how to increase the search performance of the spatial data by compressing an MBR. This study was conducted in order to propose a new MBR compression scheme, SA(Semi-Approximation). The basic idea of this paper is the compression of MBRs in a spatial index. Since SA decreases the keys of MBRs, the enlargements of QMBR in half and increases the utilization of nodes, the SA heightens the overall search performance. The study analyzes mathematically the number of node accesses in a 2D space and evaluates the performance of the SA using the real data on location information. The results show that the proposed scheme has increased performance, higher than that of the pre-established schemes on compression of MBR.

• Journal of IKEEE
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• v.18 no.4
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• pp.636-644
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• 2014

This paper is to technically implement the sensing platform for Home-Wellness Robot. First, self-localization technique is based on a smart home and object in a home environment, and IOT(Internet of Thing) between Home Wellness Robots. RF tag is set in a smart home and the absolute coordinate information is acquired by a object included RF reader. Then bluetooth communication between object and home wellness robot provides the absolute coordinate information to home wellness robot. After that, the relative coordinate of home wellness robot is found and self-localization through a stereo camera in a home wellness robot. Second, this paper proposed fuzzy control methode based on a vision sensor for approach object of home wellness robot. Based on a stereo camera equipped with face of home wellness robot, depth information to the object is extracted. Then figure out the angle difference between the object and home wellness robot by calculating a warped angle based on the center of the image. The obtained information is written Look-Up table and makes the attitude control for approaching object. Through the experimental with home wellness robot and the smart home environment, confirm performance about the proposed self-localization and posture control method respectively.

• The korean journal of orthodontics
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• v.35 no.4 s.111
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• pp.320-329
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• 2005

The three-dimensional (3D) changes of bone, soft tissue and the ratio of soft tissue to bony movement was investigated in 8 skeletal Class III patients treated by mandibular setback surgery. CT scans of each patient at pre- and post-operative states were taken. Each scan was segmented by a threshold value and registered to a universal three-dimensional coordinate system, consisting of an FH plane, a mid-sagittal plane, and a coronal plane defined by PNS. In the study, the grid parallel to the coronal plane was proposed for the comparison of the changes. The bone or soft tissue was intersected by the projected line from each point on the gird. The coordinate values of intersected point were measured and compared between the pre- and post-operative models. The facial surface changes after setback surgery occurred not only in the mandible, but also in the mouth corner region. The soft tissue changes of the mandibular area were measured relatively by the proportional ratios to the bone changes. The ratios at the mid-sagittal plane were $77\~102\%(p<0.05)$. The ratios at all other sagittal planes had similar patterns to the mid-sagittal plane, but with decreased values. And, the changes in the maxillary region were calculated as a ratio, relative to the movement of a point representing a mandibular movement. When B point was used as a representative point, the ratios were $14\~29\%$, and when Pog was used, the ratios were $17\~37\%(9<0.05)$. In case of the 83rd point of the grid, the ratios were $11\~22\%(p<0.05)$.

• The Journal of the Acoustical Society of Korea
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• v.26 no.8
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• pp.415-425
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• 2007

This paper proposes a method of underwater source localization using the wideband interference patterns matching. By matching two interference patterns in the spectrogram, it is estimated a ratio of the range from source to sensor5, and then this ratio is applied to the Apollonius circle. The Apollonius circle is defined as the locus of all points whose distances from two fixed points are in a constant value so that it is possible to represent the locus of potential source location. The Apollonius circle alone, however still keeps the ambiguity against the correct source location. Therefore another equation is necessary to estimate the unique locus of the source location. By estimating time differences of signal arrivals between source and sensors, the hyperbola equation is used to get the cross point of the two equations, where the point being assumed to be the source position. Simulations are performed to get performances of the proposed algorithm. Also, comparisons with real sea experiment data are made to prove applicability of the algorithm in real environment. The results show that the proposed algorithm successfully estimates the source position within an error bound of 10%.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.21 no.12
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• pp.2365-2370
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• 2017

In this paper, we propose a motion and position recognition technique considering an experiential VR environment. Motion recognition attaches a plurality of AHRS devices to a body part and defines a coordinate system based on this. Based on the 9 axis motion information measured from each AHRS device, the user's motion is recognized and the motion angle is corrected by extracting the joint angle between the body segments. The location recognition extracts the walking information from the inertial sensor of the AHRS device, recognizes the relative position, and corrects the cumulative error using the BLE fingerprint. To realize the proposed motion and position recognition technique, AHRS-based position recognition and joint angle extraction test were performed. The average error of the position recognition test was 0.25m and the average error of the joint angle extraction test was $3.2^{\circ}$.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.37 no.4
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• pp.447-459
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• 2013

Many problems need to be solved before vision systems can actually be applied in industry, such as the precision of the kinematics model of the robot control algorithm based on visual information, active compensation of the camera's focal length and orientation during the movement of the robot, and understanding the mapping of the physical 3-D space into 2-D camera coordinates. An algorithm is proposed to enable robot to move actively even if the relative positions between the camera and the robot is unknown. To solve the correction problem, this study proposes vision system model with six camera parameters. To develop the robot vision control algorithm, the N-R and EKF methods are applied to the vision system model. Finally, the position accuracy and processing time of the two algorithms developed based based on the EKF and the N-R methods are compared experimentally by making the robot perform slender bar placement task.

• Proceedings of the Korean Society of Surveying, Geodesy, Photogrammetry, and Cartography Conference
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• 2003.10a
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• pp.103-107
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• 2003

현재 관측점간의 3차원 상대위치를 구하고 기준점의 측지학적 좌표ㆍ표고를 결정하는 작업을 수행하는 GPS(Global Positioning System) 측량은 신호가 전파인 관계로 대기권의 전파지연 오차를 포함하게 되며, 전리층 지연은 주파수에 반비례하는 특성이 있으므로 지역의 대소에 구분 없이 이주파수 수신기(dual-frequency GPS receiver)를 사용하여 정확하게 지연시간을 측정하고 그로 인한 측위정밀도의 정확성을 확보하고 있다. 본 연구는 비교적 낮은 가격인 일주파 수신기를 사용하여 기선거리별로 삼각점을 선점한 후 동일 시간에 관측을 실시하고 취득한 데이터 값을 추출한 후 기선거리에 따른 허용오차를 분석하고, 그 활용성 및 경제성과 일주파 수신기의 기선에 대한 사용 가능성을 분석하였다. 그 결과, 100km이내의 지역에서는 일주파 수신기 만으로도 충분히 만족스러운 결과를 얻을 수 있었다.

• Proceedings of the Korean Association of Geographic Inforamtion Studies Conference
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• 2008.10a
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• pp.324-328
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• 2008

지상 LiDAR(Light Detection And Ranging)는 정밀하고 빠르게 물체의 3차원 형상을 측량할 수 있는 시스템이다. 기본적으로 종전의 레이저 측량기의 기능을 갖고 있으며, 초당 최대 $5,000{\sim}50,000$ point의 레이저를 대상체 표면에 발사하여 대상체면에 투사한 레이저의 간섭이나 반사를 이용하여 대상체면상의 point could의 공간정보를 취득하는 관측방식의 3차원 정밀 측량으로서 대상체의 표면으로부터 상대적인 3차원(X, Y, Z) 지형공간좌표를 각각의 Point 데이터로 기록한다. 이러한 측정방법은 레이저가 반사되어 돌아오는 시간을 계산하여 거리를 결정하고 ${\theta}_h$(수평각)과 ${\theta}_v$(수직각) 각도만큼 수평, 수직으로 회전하여 측정한 점의 위치를 결정하므로 데이터 취득 각도에 따른 오차가 발생하게 된다. 본 연구 에서는 지상LiDAR 데이터 취득각도에 따른 오차 시뮬레이션 실시하여 실제 실험과의 비교 및 입사각에 따른 정확도 분석을 실시하였다.

• Proceedings of the KSME Conference
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• 2001.06b
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• pp.465-470
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• 2001

This paper presents an algorithm which seeks steady-state equilibrium positions of constrained multibody systems driven by constant generalized speeds. Since the relative coordinates are employed, the constraint equations at cut joints are incorporated into the formulation. The proposed algorithm leads to nonlinear equations that need to be solved iteratively. This algorithm should satisfy both types of conditions: the force equilibrium equations and the kinematic constraint equations. To verify the effectiveness of the proposed algorithm, two numerical examples are solved and the results are compared with those of a commercial program. This method, compared to the conventional method of using dynamic analysis, has the advantage of computational efficiency and stability.

• 전자공학회논문지 IE
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• v.46 no.1
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• pp.23-30
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• 2009

In this paper, the intelligent vision system for an effective and intelligent path-planning of an industrial AGV system based on stereo camera system is proposed. The depth information and disparity map are detected in the inputting images of a parallel stereo camera. The distance between the industrial AGV system and the obstacle detected and the 2D Path coordinates obtained from the location coordinates, and then the relative distance between the obstacle and the other objects obtained from them. The industrial AGV system move automatically by effective and intelligent path-planning using the obtained 2D path coordinates. From some experiments on AGV system driving with the stereo images, it is analyzed that error ratio between the calculated and measured values of the distance between the objects is found to be very low value of 2.5% on average, respectably.