• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.3
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• pp.294-299
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• 2012

This paper suggests a modeling technique for shape and volume prediction of fishes to cut them with identical weights for group meals. The measurement and prediction of frozen fishes for group meals are very difficult because they have a bending deformation occurring at frozen stage and a hollow by eliminating the internals. Besides there exist twinkles problem of surface caused by freeze and variable weights by moisture conditions. Therefore a complex estimation algorithm is necessary to predict the shape and volume prediction of fishes exactly. Hollow prediction, pattern classification and modeling for tails using neural network, integration based volume prediction algorithm are suggested and combined to solve those problems. In order to validate the proposed method, the experiments of 3-dimensional measurement, volume prediction and fish cutting for spanish mackerel, saury, and mackerel are executed. The cutting experiments for real fish are executed.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2808-2810
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• 2000

Most measuring devices are equipped with RS232 interface or GPIB interface for communicating with computers. If the measuring devices can be accessed by a server computer, the valuable information from the devices can be effectively shared with other computer via internet. VRML is a web based technology for specifying and delivering three-dimensional interactive visualizations over the internet through a web browser. This paper proposes a remote 3-dimensional monitoring system for digital multimeter equipped with RS232 interface by utilizing VRML.

• Journal of Power System Engineering
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• v.10 no.4
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• pp.56-64
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• 2006

This paper shows the development process of a straight-type five-hole pressure probe for measuring three-dimensional flow velocity components. The data reduction method using a bi-cubic curve-fitting program in a new calibration map was introduced in this study. This new calibration map can be applied up to the application angle, ${\pm}55^{\circ}$ of a probe. As a result, for the application angle of ${\pm}45^{\circ}$, an error for yaw and pitch angles appeared from $-1.76^{\circ}\;to\;1.83^{\circ}$ and from $-1.91^{\circ}\;to\;1.75^{\circ}$, respectively. Moreover, an error for a vector magnitude and a static pressure compared with a dynamic one showed from -7.83% to 4.87% and from -0.73 to 0.77, respectively. Even though this data reduction method showed unsatisfactory errors in a vector magnitude, it resulted in an easy and simple application method. Especially, when it was applied to an actual flow field including a swirling flow, a good result came out on the whole. However, in order to obtain a better result, it is thought that a more sophisticated interpolation method needs to be introduced.

• Journal of Sensor Science and Technology
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• v.7 no.6
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• pp.418-425
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• 1998

Stereo cameras are the most widely used sensing systems for automated machines including robots to interact with their three-dimensional(3D) working environments. The position of a target point in the 3D world coordinates can be measured by the use of stereo cameras and the camera calibration is an important preliminary step for the task. Existing camera calibration techniques can be classified into two large categories - linear and nonlinear techniques. While linear techniques are simple but somewhat inaccurate, the nonlinear ones require a modeling process to compensate for the lens distortion and a rather complicated procedure to solve the nonlinear equations. In this paper, a method employing a neural network for the calibration problem is described for tackling the problems arisen when existing techniques are applied and the results are reported. Particularly, it is shown experimentally that by utilizing the function approximation capability of multi-layer neural networks trained by the back-propagation(BP) algorithm to learn the error pattern of a linear technique, the measurement accuracy can be simply and efficiently increased.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• v.9 no.1
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• pp.1141-1144
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• 2005

In this paper, we propose an automatic displacement system for testing stability of structure. Photogrammetry is a method which can measure accurate 3D data from 2D images taken from different locations and which is suitable for analyzing and measuring the displacement of structure. This paper consists of camera calibration, feature extraction using coded target & retro-reflective circle, 3D reconstruction and analyzing accuracy. Multi-view camera which is used for measuring displacement of structure is placed with different location respectively. Camera calibration calculates trifocal tensor from corresponding points in images, from which Euclidean camera is calculated. Especially, in a step of feature extraction, we utilize sub-pixel method and pattern recognition in order to measure the accurate 3D locations. Scale bar is used as reference to measure. the accurate value of world coordinate..

• Progress in Medical Physics
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• v.26 no.1
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• pp.18-27
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• 2015

Since a Compton camera has high detection sensitivity due to electronic collimation and a good energy resolution, it is a potential imaging system for nuclear medicine. In this study, we investigated the feasibility of a Compton camera for multi-tracer imaging and proposed a rotating Compton camera to satisfy Orlov's condition for 3D imaging. Two software phantoms of 140 and 511 keV radiation sources were used for Monte-Carlo simulation and then the simulation data were reconstructed by listmode ordered subset expectation maximization to evaluate the capability of multi-tracer imaging in a Compton camera. And the Compton camera rotating around the object was proposed and tested with different rotation angle steps for improving the limited coverage of the fixed conventional Compton camera over the field-of-view in terms of histogram of angles in spherical coordinates. The simulation data showed the separate 140 and 511 keV images from simultaneous multi-tracer detection in both 2D and 3D imaging and the number of valid projection lines on the conical surfaces was inversely proportional to the decrease of rotation angle. Considering computation load and proper number of projection lines on the conical surface, the rotation angle of 30 degree was sufficient for 3D imaging of the Compton camera in terms of 26 min of computation time and 5 million of detected event number and the increased detection time can be solved with multiple Compton camera system. The Compton camera proposed in this study can be effective system for multi-tracer imaging and is a potential system for development of various disease diagnosis and therapy approaches.

• 한국지구물리탐사학회:학술대회논문집
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• 2002.09a
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• pp.179-195
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• 2002

This paper examined the applicability of geophysical prospecting for water leakage detection of the water utilization facilities. Electrical resistivity survey and spontaneous-potential survey were carried out for the water leakage detection of dike and embankment, and the applicability was confirmed from many case studies. However, in order to efficiently maintain and detection of the more accurate water points in the embankment, the efficiently maintain and detection of the more accurate water leakage points in the embankment, the requirements are as follows; 1) It is necessary to use the electrical resistivity survey jointly with the spontaneous-potential survey in order to improve the reliability of water leakage information. 2) It is important to understand physical properties of the soil which influences the electrical resistivity of embankment in order to accurately grasp the water leakage points from the result of the electrical resistivity survey. 3) It is necessary to introduce the three-dimensional prospecting in order to improve the reliability of the measured value. 4) Introductions of the monitoring measurement system are necessary in order to efficiently and economically maintain of the water utilization facilities.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.6
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• pp.2509-2518
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• 2013

Augmented reality (AR) technology visualizes a real type object that cannot simulate in virtual reality technology by overlapping a virtual object and real object in a computer system. This study suggests a methodology and prototype system for applying AR system to rebar distribution work in a civil engineering project. Rebar work in civil engineering project is a representative activity that is progressed by empirical approach of skilled labor rather than formalized manual. AR technology improves the constructability of rebar work because AR tool can identify missing rebars and different rebars comparing with the drawings. AR system developed in this study can enhance the understanding of rebar work using 3D modeling with real image of construction site and save construction cost by reducing reconstruction work.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.28 no.3
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• pp.377-383
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• 2010

This study aims to develop the system which is able to monitor long span bridge behavior in real time using GPS. Through measuring displacement of long span bridge by GPS in real time, over all 3D behavior of bridge could be analyzed and managed. Monitoring system of long span bridge which is developed in this study is able to manage in real time the safety of bridge by transmitting horizontal and vertical displacement of bridge, and danger signals to an integrated operations center. Also it is able to monitor the absolute behavior of long span bridge by GPS, and to construct a national bridge safety management networks.

• Proceedings of the Korea Water Resources Association Conference
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• 2015.05a
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• pp.590-590
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• 2015

본 연구는 집중호우에 의한 홍수예측 및 소유역의 유출거동에 대한 수문학적 민감성(susceptibility) 규명을 목적으로 강우강도, 지속기간 및 토양포화도 변화에 따른 홍수유출특성을 분석하여 유역의 유출거동 민감성을 표출할 수 있는 노모그래프를 개발하였다. 개별 홍수사상에 대한 유출거동 특성 분석을 위하여 한국건설기술연구원의 대표 시험유역인 설마천 유역의 과거 17년간(1996 ~ 2012)의 10분 간격의 강우량 및 유출량 자료를 수집하여 홍수유출해석을 수행하였다. 설마천 시험유역의 일누가강우량 100mm 이상, 50개 홍수사상에 대한 홍수유출해석은 유역 물순환 해석모형인 CAT(Catchment hydrological cycle Assessment Tool)을 이용하였으며 모의결과를 바탕으로 홍수사상별 지체시간, 강우강도, 지속기간 및 토양포화도 변화에 따른 홍수유출특성을 상세히 분석하였다. 이 중에서도 지체시간은 유역반응을 나타내는 시간변수로서 수문모델링 및 홍수량예측에 매우 중요한 요소이다. 특히, 강우량에 대한 홍수량의 반응이 빠른 소유역의 경우에 홍수량예측에 큰 영향을 미친다. 따라서 강우강도, 지속기간, 토양포화도의 변화량에 대한 지체시간의 거동을 R 프로그래밍 언어 및 3D Surfer를 이용하여 분석한 후 최종적으로 소유역의 홍수유출 특성을 나타내는 3차원 홍수 유출특성 노모그래프를 개발하였다. 분석에 사용된 R 프로그래밍 언어는 통계 계산과 그래픽을 위한 프로그래밍 언어이자 소프트웨어 환경으로 데이터의 조작 및 수치연산, 시각화를 수행할 수 있는 기능을 여러 패키지를 통해 구현할 수 있다. 따라서 본 연구에서는 R을 이용하여 10분 단위의 강우 및 유출량 자료를 1시간 및 1일 자료로 구축하고 17년간의 과거 홍수사상을 분리하여 추출하는 R 홍수유출해석 시스템을 개발하였으며 추출된 홍수사상을 관측 유출량 및 관측 토양수분을 포함하여 시각화함으로써 강우 및 토양수분 변화에 따른 소유역의 유출거동 민감성을 확인할 수 있었다. 분석 결과, 지체시간은 강우지속기간 및 토양포화도에 민감한 거동특성을 나타냈으며 토양포화도는 첨두홍수량의 변화에 민감한 영향을 주는 것으로 확인되었다. 개발된 3차원 홍수유출특성 노모그래프는 유역의 규모 및 지형물리학적 특성에 따라 다양하게 나타날 것으로 판단되며 여러 계측유역에 적용함으로써 유역별 홍수유출 반응특성을 정량화할 필요가 있다. 즉, 강우강도, 지속기간, 지체시간, 포화도 등의 변화에 따른 유역의 홍수유출 반응특성을 규명함으로써 미계측 유역의 홍수량예측 실무에 활용할 수 있을 것으로 판단된다.