• Proceedings of the Korean Institute of Communication Sciences Conference
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• 1987.04a
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• pp.56-59
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• 1987

In this study the moving information extraction techniques of moving objects are processed digital imaqe data by sampling three frames in a fixed-bacqround two-dimensional line sequence image the brightness of interframe are compared to extract difference image and difference image are two level formed and neighber averged From neigbber averaged image the parameters for recoqnition of the object are the number of contorur pixels, the number of vertex points and the distance between the vertex points Agtercomparing the same object the moving distance obtained from the coordinate which is constructed by the bit processing of the digital data and the moving velocity is obtained from the moving distance and the time interval between the first andsecond sampled frames.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.99.4-99
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• 2002

A two-dimensional moving target is necessarily captured by a 5 dot robot system using a robot vision technique. Here, a robot vision system with a visual skill so that it can take information for a moving target or object, specially two dimensionally moving, is introduced and its algorithm and control strategy are presented associated with it. The tracking algorithm is proposed and its performance is verified by experiment. The camera first captures the object, then it captures again after certain second. The position difference generates the horizontal and vertical velocities of the moving target, hence the final destination is estimated at gripping line. At the same time, the robot s...

• Korean Institute of Interior Design Journal
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• v.21 no.6
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• pp.79-91
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• 2012

In the Digital Convergence era, the center of social networking is moving into on-line space. This means also that space for public is moving into the on-line space. Along with this, spaces in commercial area, offered as attraction factors, are taking a role as a public space. So, this paper defines these spaces mentioned above as public space and the like. Liberal and affluent communication of Digital Convergence has caused in new spatial cognitions such like, constant social space, flowing space, temporary space, and multiple space. This means the hybridization of on-line and off-line space and the advent of public convergent space. However, it is on-line-centered convergence and has positive effects and negative effects on relationship. This paper suggests the optimization of public convergent space to solve the problems and make better a public space for relationship. For achieving this, social disclosure is grasped as the common way to start relationship both off-line and on-line, and it is proved that social disclosure has three characters such as self-presentation, corporeality, and subjectivity. Subsequently, the differences of the roles of off-line and on-line space are separated by each individual character. These are self-presentation of performance vs. storytelling, corporeality of embodiment vs. disembodiment, and self-subjectivity vs. inter-subjectivity. By recognizing that there are multilevel spectrums between the formers and the latters, this paper presents the direction of the spatial configuration of public convergent space which offers the right of manipulation of self-disclosure. It will be used for presenting the prototype of public convergent space.

• Korean Journal of Radiology
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• v.20 no.1
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• pp.4-4
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• 2019

• Journal of Sensor Science and Technology
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• v.29 no.3
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• pp.194-200
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• 2020

Human detection is an important aspect in many video-based sensing and monitoring systems. Studies have been actively conducted for the automatic detection of humans in camera images, and various methods have been proposed. However, there are still problems in terms of performance and computational cost. In this paper, we describe a method for efficient human detection in the field of view of a camera, which may be static or moving, through multiple processing steps. A detection line is designated at the position where a human appears first in a sensing area, and only the one-dimensional gray pixel values of the line are monitored. If any noticeable change occurs in the detection line, corner detection and optical flow computation are performed in the vicinity of the detection line to confirm the change. When significant changes are observed in the corner numbers and optical flow vectors, the final determination of human presence in the monitoring area is performed using the Histograms of Oriented Gradients method and a Support Vector Machine. The proposed method requires processing only specific small areas of two consecutive gray images. Furthermore, this method enables operation not only in a static condition with a fixed camera, but also in a dynamic condition such as an operation using a camera attached to a moving vehicle.

• Journal of The Korean Astronomical Society
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• v.40 no.3
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• pp.67-82
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• 2007

The basic building block of solar filaments/prominences is thin threads of cool plasma. We have studied the spectral properties of velocity threads, clusters of thinner density threads moving together, by analyzing a sequence of $H{\alpha}$ images of a quiescent filament. The images were taken at Big Bear Solar Observatory with the Lyot filter being successively tuned to wavelengths of -0.6, -0.3, 0.0, +0.3, and +0.6 ${\AA}$ from the centerline. The spectra of contrast constructed from the image data at each spatial point were analyzed using cloud models with a single velocity component, or three velocity components. As a result, we have identified a couple of velocity threads that are characterized by a narrow Doppler width($\Delta\lambda_D=0.27{\AA}$), a moderate value of optical thickness at the $H{\alpha}$ absorption peak($\tau_0=0.3$), and a spatial width(FWHM) of about 1". It has also been inferred that there exist 4-6 velocity threads along the line of sight at each spatial resolution element inside the filament. In about half of the threads, matter moves fast with a line-of-sight speed of $15{\pm}3km\;s^{-1}$, but in the other half it is either at rest or slowly moving with a line-of-sight velocity of $0{\pm}3km\;s^{-1}$. It is found that a statistical balance approximately holds between the numbers of blue-shifted threads and red-shifted threads, and any imbalance between the two numbers is responsible for the non-zero line-of-sight velocity determined using a single-component model fit. Our results support the existence not only of high speed counter-streaming flows, but also of a significant amount of cool matter either being at rest or moving slowly inside the filament.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.23 no.1
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• pp.27-35
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• 2009

The moving picture blur noise of LCD is measured and the characteristics of it are evaluated. From the results, blur noise is generated only when the sight line moves while pursuing the moving image and blur noise is not generated when the sight line is fixed. In addition, decrease of gray level by the image blur has a linearity and velocity dependence. The blur noise simulator based on this experimental results is developed. From the results of blur noise simulation, the faster the moving speed of image is, the more blur noise has increased and these agree with the results of measurement. In the result of simulating blur noise characteristics by the duty ratio control of backlight, noise is reduced by lowering of the duty ratio. but the blur noise increases if there is in the both of adjacent two frames. Moreover, the case of doubling the frame rate to 120[Hz], decreasing the moving speed of the image by making an new image between the adjacent two frames brings the reduction of blur noise.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.37 no.4B
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• pp.309-316
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• 2012

The compensation algorithm for localization using the least-squires method in NLOS(Non Line of Sight) environment is suggested and the performance of the algorithm is analyzed in this paper. In order to improve the localization correction rate of the moving node, 1) the distance value of the moving node that is moving as an constant speed is measured by SDS-TWR(Symmetric Double-Sided Two-Way Ranging); 2) the location of the moving node is measured using the triangulation scheme; 3) the location of the moving node measured in 2) is compensated using the least-squares method. By the experiments in NLOS environment, it is confirmed that the average localization error rates are measured to ${\pm}1m$, ${\pm}0.2m$ and ${\pm}0.1m$ by the triangulation scheme, the Kalman filter and the least-squires method respectively. As a result, we can see that the localization error rate of the suggested algorithm is higher than that of the triangulation as average 86.0% and the Kalman filter as average 16.0% respectively.

• Proceedings of the KIPE Conference
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• 2014.11a
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• pp.87-88
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• 2014

The paper presents a novel phase locked loop(PLL) control method for robust three-phase thyristor dual converters under sag, notch, and phase loss conditions. This method is applied to three line to line voltages of grid to derive three phase angle errors from three separated single-phase PLLs. They can substitute for abnormal phase to guarantee the synchronization in the various grid fault conditions. The performance of novel PLL with moving average method is verified through simulations.

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 1998.03a
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• pp.65-70
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• 1998

In this paper, we developed a Windows 95 version off-line programming system which can simulate a track vehicle model in 30 graphics space. The track vehicle was adopted as an objective model. The interface between users and the off-line program system in the Windows 95's graphic user interface environment was also studied. The developing language is Microsoft Visual C++. Graphic libraries, OpenGL, by Silicon Graphics, Inc were utilized for 3D Graphics.