• IE interfaces
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• v.9 no.3
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• pp.22-33
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• 1996

The KOREASAT satellite, the first Korean commercial communication and broadcasting satellite, has been launched in August 1995, and has started to provide the communication and preliminary broadcasting services, respectively, in March and July 1996. In this paper the network configurations and characteristics of the services which the KOREASAT satellite provides are described. The services, which are provided by the KOREASAT satellite with its twelve communication and four broadcasting transponders, are the direct broadcasting service, the video relay service including the TVRO, SNG and TV/CATV program distribution, the company-wide communication service including VSAT and TSAT, and the other services with the digital line, trunk relay, telephone line, mobile data, music broadcasting services, etc. A communication transponder has the 36MHz bandwidth and 14W output power, and a broadcasting transponder has the 27MHz bandwidth and 12OW output power.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.3041-3043
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• 2000

GUI(graphical user interface) has been the dominant platform for HCI(human computer interaction). The GUI-based style of interaction has made computers simpler and easier to use. However GUI will not easily support the range of interaction necessary to meet users' needs that are natural, intuitive, and adaptive. In this paper we study an approach to track a hand in an image sequence and recognize it, in each video frame for replacing the mouse as a pointing device to virtual reality. An algorithm for real time processing is proposed by estimating of the position of the hand and segmentation, considering the orientation of motion and color distribution of hand region.

• 유체기계공업학회:학술대회논문집
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• 1999.12a
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• pp.264-271
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• 1999

The present experimental study is aimed to investigate the flow characteristics of the high-speed flow field within hot-water pump by PIV(Particle Image Velocimetry). As multi-point simultaneous velocity acquisition, 2-D PIV system based upon the two-frame gray-level cross correlation method is adopted using PC frame-grabber and simple video system. Gated image intensifier CCD Camera to cope with illumination problem is arranged for accurate PIV measurement of high-speed complex flow. The velocity vector distribution, velocity profile, and kinetic energy are represented quantitatively at the full-scale region for the deeper understanding of the unsteady flow characteristics in a pump.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.9 no.4
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• pp.321-326
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• 2009

The mobile air cleaner analyzes a distribution of polluted air to purify the air fast, calculates an optimal position and moves the position so that it can remove indoor dust more quickly. At this time, the self-localization is necessary to make the mobile air cleaner move accurately to the calculated position. This paper proposed a self-localization algorithm having high accuracy without complicated calculation and implemented it by combining a ultrasonic sensor and video processing technologies, so that it is suitable for a mobile air cleaner, and as a test result, the mean error of $\pm1cm$ appeared between the actually measured position and the calculated position.

• Journal of Korean Institute of Industrial Engineers
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• v.21 no.2
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• pp.239-254
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• 1995

Automated Storage/Retrieval (AS/R) systems have been used mostly in manufacturing or distribution industry in order to store or retrieve palletized items automatically. Since the items ore heavy or bulky, only one pallet at a time is moved by the stacker crane In this study, however, we introduce the "multi -load" AS/R system in which the items to be stored are data storage devices of equal size such as video tape or compact disc. Since the items are small and light multiple items can be stored and retrieved in each trip by using a magazine and a robot arm mounted on the crane Given the magazine capacity, and the locations of retrieval items and empty cells in the rack, the throughput of the multi-load AS/R system will depend on the selection of storage locations and the sequence of visits. We propose four heuristic algorithms for the multi-command. Computer simulation is used to evaluate the four algorithms in terms of throughput and number of back tracking of the crane.

• Proceedings of the Korea Information Processing Society Conference
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• 2002.04b
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• pp.1277-1280
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• 2002

최근에 인터넷을 통한 WWW(World Wide Web)이 전 세계적으로 널리 사용되고 있다. 따라서, 매년 인터넷을 사용하는 사람의 수도 매우 빠른 속도로 증가하고 있다. 그러나, 인터넷이나 인트라넷 모두, 현재의 네트워크 용량으로 모든 사용자들의 요구를 적절하게 수용할 수 없다. 따라서, 학계와 산업계의 전문가들이 WWW 캐슁에 많은 노력을 하고 있다. 적절히만 구성된다면, 웹 캐슁 시스템은 현저한 네트워크 대역폭의 사용량 감소를 가져올 수 있고, 네트워크 레이턴시를 줄일 수 있다. 이것은 VOD(Video On Demand)의 경우와 같은 멀티미디어 스트리밍 데이터 전송 환경에서도 적용된다. 본 연구에서, 인트라넷 환경하에서 멀티미디어 데이터를 전송하는데 가장 비용이 적게드는 최적의 솔루션을 찾으려 한다. 이를 위해서, 테스트환경을 구축하고, 실험적 측정을 수행하였다. 그리고 그 결과를 토대로 여러 가지 현상에 대해서 분석하였다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.26 no.11A
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• pp.1957-1962
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• 2001

Image and video compression requires quantization error model of DCT coefficients for post processing, restoration or transcoding. Once DCT coefficients are quantized, it is impossible to recover the original distribution. We assume that the original probability density function (pdf) is the Laplacian function. We calculate the variance of the quantized variable, and estimate the variance of the DCT coefficients. We can confirm that the proposed method enhances the accuracy of the quantization error estimation.

• Journal of the Semiconductor & Display Technology
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• v.17 no.4
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• pp.105-108
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• 2018

Face Detection is an essential first step of the face recognition, and this is significant effects on face feature extraction and the effects of face recognition. Face detection has extensive research value and significance. In this paper, we present and analysis the principle, merits and demerits of the classic AdaBoost face detection and ASM algorithm based on point distribution model, which ASM solves the problems of face detection based on AdaBoost. First, the implemented scheme uses AdaBoost algorithm to detect original face from input images or video stream. Then, it uses ASM algorithm converges, which fit face region detected by AdaBoost to detect faces more accurately. Finally, it cuts out the specified size of the facial region on the basis of the positioning coordinates of eyes. The experimental result shows that the method can detect face rapidly and precisely, with a strong robustness.

• Journal of Information Processing Systems
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• v.15 no.4
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• pp.1017-1028
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• 2019

Pedestrian tracking is a particular object tracking problem and an important component in various vision-based applications, such as autonomous cars and surveillance systems. Following several years of development, pedestrian tracking in videos remains challenging, owing to the diversity of object appearances and surrounding environments. In this research, we proposed a tracking-by-detection system for pedestrian tracking, which incorporates a convolutional neural network (CNN) and color information. Pedestrians in video frames are localized using a CNN-based algorithm, and then detected pedestrians are assigned to their corresponding tracklets based on similarities between color distributions. The experimental results show that our system is able to overcome various difficulties to produce highly accurate tracking results.

• Journal of Korea Multimedia Society
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• v.24 no.6
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• pp.796-804
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• 2021

In computer vision, visual tracking method addresses the problem of localizing an specific object in video sequence according to the bounding box. In this paper, we propose a tracking method by introducing the feature correlation comparison into the siamese network to increase its matching identification. We propose a way to compute location of object to improve matching performance by a correlation operation, which locates parts for solving the searching problem. The higher layer in the network can extract a lot of object information. The lower layer has many location information. To reduce error rate of the object center point, we built a siamese network that extracts the distribution and location information of target objects. As a result of the experiment, the average center error rate was less than 25%.