• Journal of the Korean Institute of Gas
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• v.13 no.1
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• pp.34-39
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• 2009

Traditionally all concrete roof type LNG storage tank have been constructing in Korea regardless of LNG tank types. But a steel roof LNG storage tank has merits relatively in designing larger scale tanks and construction cost so it is on the table to apply. This study was carried for the standardized development of impact and fire hazard analysis on a 200,000$k{\ell}$ steel roof LNG storage tank designed by KOGAS and for getting quantitative safety data on a steel roof LNG storage tank compared with a conventional concrete roof LNG storage tank by evaluating with this method. Hazard analysis on each four impact and fire scenarios were developed and evaluated by using finite element methods.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1263-1268
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• 2018

In this paper, a video analysis is proposed to implement video surveillance system with deep learning object detection and probabilistic data association filter for tracking multiple objects, and suggests its implementation using GPU. The proposed video analysis technique involves object detection and object tracking sequentially. The deep learning network architecture uses ResNet for object detection and applies probabilistic data association filter for multiple objects tracking. The proposed video analysis technique can be used to detect intruders illegally trespassing any restricted area or to count the number of people entering a specified area. As a results of simulations and experiments, 48 channels of videos can be analyzed at a speed of about 27 fps and real-time video analysis is possible through RTSP protocol.

• Journal of Korea Multimedia Society
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• v.19 no.2
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• pp.264-270
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• 2016

In this paper, we proposed a method which can detect pedestrians from CCTV video and estimate the height of the detected objects. We separate the foreground using Gaussian mixture model and the pedestrian is detected using the conditions such as the width-height ratio and the size of the candidate objects. In order to obtain the optimal model for estimating the height of pedestrian, we get many training data from the pedestrian whose height is known. Using these training data, we designed optimal Wiener height estimator and used to estimate the height of pedestrians. The height of the pedestrian at various distance is estimated and the accuracy is evaluated. In the experimental results, proposed method shows that it can estimate the height of pedestrian for various positions effectively.

• Journal of Korea Multimedia Society
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• v.6 no.7
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• pp.1131-1138
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• 2003

Active noise control(ANC) is an approach to noise reduction in which a secondary noise source destructively interferes with the unwanted noise is introduced. Generally, the performance of ANC is determined how well a secondary noise tracks noises. A secondary noise is generated from the cancelling speaker and a error sensor pick up error signal. The transfer function between the cancelling speaker and the error sensor is not flat and distorts secondary noises. Consequently, the performance of ANC is degraded by the transfer function. In this paper, a single sensor ANC which considers the characteristics of the speaker and the error sensor is proposed. To reduce distortion of secondary noises, the transfer function is estimated by adaptive inverse modelling and the primary noises are estimated by Kalman filter. Experimental results show that the proposed single sensor ANC effectively attenuates noises.

• Journal of the Korean Institute of Gas
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• v.13 no.1
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• pp.40-44
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• 2009

This is a comparative structural analysis for a steel roof LNG storage tank that has some advantages relatively in designing larger scale tanks and construction cost, etc. compared with a conventional concrete roof LNG storage tank as the capacity of LNG storage tanks is bigger. Structural analysis was performed on a 200,000$k{\ell}$ steel roof LNG storage tank and a concrete of the same capacity in condition of three critical load combination cases, a normal operation, a LNG spillage and seismic case by using finite element method. And comparative structural safety evaluation was carried out by using strength ratio in places of concrete wall, foundation and roof with a quantitative method.

• The Journal of the Korea institute of electronic communication sciences
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• v.6 no.2
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• pp.206-211
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• 2011

In this paper, a fire detection algorithm based on video processing is proposed. At the first stage, background image extracted from CCTV video input signal, and then foreground image were separated by differencing CCTV input signal from background image. At the second stage, candidated area were extracted by using color information from foreground image. At the final stage, smoke or flame characteristic area were separated by using Gaussian mixture modeling applied to candidated area, and then fire can be detected. Through real experiments at the inner room, it is shown that the proposed system works well.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.808-810
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• 2011

The background estimation algorithms had a significant impact on the performance of image processing and recognition. In this paper, background estimation algorithms were analysis of complexity and performance as preprocessing of image recognition. It was evaluated the performance of Gaussian Running Average, Mixture of Gaussian, and KDE algorithm. The simulation results show that KDE algorithm outperforms compared to the other algorithms.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2011.05a
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• pp.816-819
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• 2011

The image recognition system using CCTV camera has been introduced to minimize not only loss of life and property but also traffic jam in the tunnel. In this paper, multi-object detection algorithm is proposed to track multi vehicles. The proposed algorithm is to detect multi cars based on Adaboost and to track multi vehicles to use template matching. As results of simulations, it is shown that proposed algorithm is useful for tracking multi vehicles.

• Proceedings of the Korea Contents Association Conference
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• 2010.05a
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• pp.483-484
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• 2010

Accessories originated from men's ornamental instinct in the beginning as a body ornament. Women's accessories in the Joseon Dynasty have splendid structure and rich symbolism, so they are enough to be a target of the study for being contents of Korea's cultural archetype. Traditional accessories are the foundation of excellent formative and functional characteristics due to the extreme beauty of crafts. This study aims to develop archetype of excellent formative factors by making traditional accessories digitalized for perpetuation in order to apply them to the culture industry. In addition, it is to prepare the educational foundation by reinterpreting traditional accessories in a modern way. Therefore, this researcher intends to develop constituents of traditional accessories by means of digital images and suggest digital contents methods of accessory techniques by dividing constituents, techniques, materials, symbolic meaning, and attire and wear.

• Proceedings of the Korea Information Processing Society Conference
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• 2005.05a
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• pp.891-894
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• 2005

유비쿼터스 환경에서 컨텍스트의 의미가 점차 중요해진다. 시간이 지날수록 더욱 더 많은 컨텍스트가 우리 주위를 장식해가고 많은 정보들을 제공해 줄 것이다. 이러한 상황에서는 새롭게 추가되는 컨텍스트를 유지하고 관리하는 기법들이 중요한 이슈로 자리잡게 된다. 하지만, 기존의 Context Toolkit 에서 이렇게 동적으로 변하는 컨텍스트들을 효율적으로 유지, 관리할 수 있는 방법이 없었다. 이에 따라, 우리는 새롭게 추가되는 컨텍스트들을 유지, 관리하고 동적으로 어플리케이션에 게 바인딩 해 주어 미리 컨텍스트들에 대한 환경 설정을 해야 하는 부담을 줄일 수 있도록 하는 DWB (Dynamic Widget Binder)에 대한 개념을 소개한다. 어플리케이션이 어떠한 컨텍스트를 사용하려고 할 때, 어플리케이션은 DWB 에게 컨텍스트를 요청한다. DWB 에서는 요청한 컨텍스트가 존재하는지 확인한 이후, 컨텍스트가 존재한다면 요청한 어플리케이션으로 콜백을 걸어주고, 컨텍스트가 존재하지 않는다면, 시간이 지나 요청한 컨텍스트가 추가 될 때, 어플리케이션으로 관련 내용을 통보해 준다. 새로운 컨텍스트가 추가되었을 때, 컨텍스트는 DWB 에 자신을 등록하여 DWB 가 자신을 요청하는 어플리케이션과 바인딩 시켜줄 수 있도록 한다. 이처럼 컨텍스트를 유지, 관리하는 DWB 의 개념을 추가하여 어플리케이션은 동적으로 추가, 삭제되는 다양한 종류의 컨텍스트를 쉽게 이용할 수 있다. 우리의 연구는 DWB 의 개념 정립과 더불어 Context Toolkit 에 관련 모듈을 추가하여 구현함을 목표로 한다.