• Proceedings of the Korean Information Science Society Conference
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• 2001.10b
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• pp.463-465
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• 2001

본 논문에서는 한꺼번에 처리하기 힘든 대용량의 데이터 파일을 전처리 과정을 통해 처리시간을 단축시켜 레이다 영상으로 나타내고 그 안에서 움직이는 물체, 즉 배의 움직임을 추출하고자 한다. 레이더 영상은 일반 직교 좌표계가 아닌 평면상에서의 극좌표계를 사용하기 때문에 좌표계 변환시 생기는 레이다 영상에서의 잡영을 모폴로지 기법과 labeling을 이용하여 제거했다. 레이더 영상은 레이더 자체의 특성으로 인해 잡영이 다수 존재하고 데이터 변화로 인해 영상 전체가 약간의 흔들림이 있기 때문에 물체 추적에 널리 사용되는 차영상 기법을 레이다 영상에 적응시켰을 경우 원하는 물체를 효율적으로 추출해 내기가 어렵다. 따라서 기존의 차영상 추출 알고리즘을 보완하여 이미지 픽셀차가 적정수준 보다 큰 경우만을 선택하여 움직이는 배를 추출하고자 한다.

• Proceedings of the Korean Information Science Society Conference
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• 2003.04a
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• pp.812-814
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• 2003

LCD(Liquid Crystal Display)는 표시장치로 실용화된 후 많은 상품에 적용되고 있다 그러나 LCD는 자체 발광 능력이 없으므로 그 후면에서 LCD 화면을 밝혀주는 BLU(Backlight Unit)를 필요로 한다. BLU는 내부 광원으로 밝기가 균일한 평면광을 만들어 LCD 화면을 균일하게 면조사하는 역할을 한다. LCD의 표시 품질을 향상시키기 위해, 균일한 평면광을 만들어내는 BLU를 제작하기 위한 다양한 방법이 개발되고 있다. 본 논문에서는 이러한 BLU를 제작하는 툴(Tool)과 제작린 BLU가 생성하는 평면광의 휘도 분포를 예측하는 시뮬레이터를 제안함으로써 BLU 개발에 소요되는 시간 및 비용을 단축할 수 있도록 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.823-825
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• 2014

감시 카메라 환경에서 자동으로 그룹 행동을 인식하는 기술이 최근 많은 관심을 받고 있다. 본 논문에서 제안하는 그룹 해동 인식 시스템은 다른 추가 정보 없이 비디오 프레임만을 인풋으로 받아들여, 자동으로 보행자 탐지, 추적, 행동 인식까지 모두 포괄하는 시스템이다. 시공간 모션 패턴을 만들고 연결 요소들로 모델링 한 뒤 Hidden Markov Model (HMM)을 이용해 그룹 행동을 인식한다. 실험 결과, 기본 논문과 비교하였을 때, 비슷한 인식률을 보이면서 수행 시간을 약 25 배 정도로 획기적으로 단축하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2023.07a
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• pp.255-256
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• 2023

본 논문은 실시간으로 지하철의 위치를 추적하고, 사용자에게 정확한 정보를 제공한다. 사용자는 모바일 푸시 알림을 통해 다가오는 정류장을 인식하고 놓치지 않고 하차할 수 있다. 웹 기반 솔루션으로 개발되어 사용자 친화적인 인터페이스를 제공하며, 승객들의 편의와 이동 시간 단축에 기여한다. 이 서비스는 실시간 지하철 위치, 알람 서비스, 모바일 푸시 알림, 웹 기반 솔루션, 사용자 경험을 포함한 다양한 기술과 요소들을 통합한다. 전반적으로, 이 서비스는 승객들에게 효율적이고 편리한 지하철 이용을 제공하여 승객 만족도를 높이고 이동 경험을 개선한다.

• Journal of the Korea Society of Computer and Information
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• v.17 no.4
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• pp.67-74
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• 2012

In this paper, we propose an efficient dynamic background modelling method by using eigenbackground to extract moving objects from video stream. Even if a background model has been created, the model has to be updated to adapt to change due to several reasons such as weather or lighting. In this paper, we update a background model based on R-SVD method. At this time we define a change ratio of images and update the model dynamically according this value. Also eigenbackground need to be modelled by using sufficient training images for accurate models but we reorganize input images to reduce the number of images for training models. Through simulation, we show that the proposed method improves the performance against traditional eigenbackground method without background updating and a previous method.

• Journal of Broadcast Engineering
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• v.14 no.6
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• pp.692-702
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• 2009

Real-time virtual studios which could run only on expensive workstations are now available for personal computers thanks to the recent development of graphics hardware. Nevertheless, graphics are rendered off-line in the post production stage in film or TV drama productions, because the graphics' quality is still restricted by the real-time hardware. Software-based camera tracking methods taking only the source video into account take much computation time, and often shows unstable results. To overcome this restriction, we propose a system that stores camera motion data from sensors at shooting time as common virtual studios and uses them in the post production stage, named as POVIS(post virtual imaging system). For seamless registration of graphics onto the camera video, precise zoom lens calibration must precede the post production. A practical method using only two planar patterns is used in this work. We present a method to reduce the camera sensor's error due to the mechanical mismatch, using the Kalman filter. POVIS was successfully used to track the camera in a documentary production and saved much of the processing time, while conventional methods failed due to lack of features to track.

• Journal of the Korea Society for Simulation
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• v.29 no.1
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• pp.39-46
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• 2020

The utilization of artificial intelligence (AI) in the engagement has been a key research topic in the defense field during the last decade. To pursue this utilization, it is imperative to acquire a realistic simulation to train an AI engagement agent with a synthetic, but realistic field. This paper is a case study of training an AI agent to operate with a hardware realism in the air-warfare dog-fighting. Particularly, this paper models the pursuit of an opponent in the dog-fighting setting with a gun-only engagement. In this context, the AI agent requires to make a decision on the pursuit style and intensity. We developed a realistic hardware simulator and trained the agent with a reinforcement learning. Our training shows a success resulting in a lead pursuit with a decreased engagement time and a high reward.

• Journal of the Korea Society of Computer and Information
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• v.14 no.9
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• pp.75-84
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• 2009

In this paper, the EPC Network as the most important technologies in the field of applied technology research and special attention to the use of RFID to better manage the disease in infected U-MAS (U-Medical Administrative Services) system was designed. U-MAS system, the Center for Disease Control in the illness, depending on the type of isolate and treat infected patients, recovery, discharge, isolation wards and intensive italian to manage and increase efficiency, manual and use a simple computer program improve the qualify of the current level, using RFID tags to improve the management of the patient everything that a little more and be out of the isolation ward, if competent disease management districts, such as the location to respond more quickly to facilitate the purpose is to contribute to. First, EPC Network and related technology for mobile RFID systems and related technology research. U-MAS system design offers. If you take advantage of the proposed U-MAS system for monitoring infectious disease patients and patients in the isolation ward, when the unauthorized departure location to shorten the time it takes to improve the effectiveness of disease management and present the elected effects was.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.5B
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• pp.557-562
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• 2006

In order to predict the dispersion of suspended sediment arising from dredging operation in port and navigation channel, a hybrid model for dispersive transport of turbidity plume was developed using Lee's(1998) hybrid method. Using hybrid modeling scheme advection-diffusion equation was solved by the forward particle-tracking method for advection process and by the fixed Eulerian grid method for diffusion process. To examine numerical model simulation in accuracy, the simulated results for 1-D, 2-D, and 3-D cases were compared with the analytical solutions including Kuo, et al's (1985) 3-D mathematical model. The model results were in a good agreement with the analytical solutions and mathematical model for the dispersion of turbidity plume.

• Journal of the Korean Institute of Telematics and Electronics
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• v.26 no.3
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• pp.95-104
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• 1989

This paper presents a new shadow testing acceleration scheme for ray tracing called Hybrid Shadow Testing (HST) based on a conditional switching between the conventinal shadow testing method and Crow's shadow volume method, where the shadow polygons as well as the object polygons are registered onto the corresponding cells under the 3-D space subdivision environment. Despite the preprocessing time for the generation and registration of the shadow polygons, the total shadow testing time of the proposed algorithm, HST was approximately 50% of that of the conventional shadow testing method for several examples while the total ray tracing time was typically reduced by 30% from the conventional approach. This due to the selective use of the shadow volume method with a compromise between the maximal utilisation of shadow's spatial coherency and minimising the computational overhead for checking ray intersections with the shadow polygons. A parameter, $N_{th}$ denoting the critical number of shadow polygons between successive reflection points was used as a guideline for switching the shadow testing scheme between the conventional method and shadow volume method. A method for calculating $N_{th}$ from such statistical data as the number of object polygons, average polygon size average peripheral length of the polygons was proposed, resulting in good agreement with the experimental results.