• Proceedings of the Korea Information Processing Society Conference
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• 2010.11a
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• pp.621-624
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• 2010

전통사회가 근대화 되면서 정치 경제 사회 문화 등의 전반적인 발전이 이루어졌다. 농촌지역들이 도시화 되면서 새로운 건물들이 지어지고 기존의 건물들이 증축되면서 건물은 점점 높아지고 대형화 되었다. 또한 건물들이 밀집되면서 한 곳에서 발생한 화재가 건물 내에서 번지거나 또는 주변 건물 등에 옮겨 붙어 대형화재로 이어질 수 있는 위험이 증가되고 있다. 대형 화재를 예방 하고 화재사고의 인명 및 재산 피해를 최소화하기 위해서 화재를 조기에 감지하는 화재감지 기술에 대한 필요성이 증가하고 있다. 화재가 발생 될 때 나타나는 화재의 특징들을 살펴보고 이를 통해 화재를 조기에 판단하기 위한 조건을 알아본다. 또한 이러한 조건들에 부합되는 최근의 연기 및 화염 감지 시스템의 연구 동향에 대해 알아본다.

• The Journal of the Korea Contents Association
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• v.21 no.12
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• pp.842-854
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• 2021

Performing industries in Korea and abroad have been attempting a wide range of artistic experiments utilizing online platforms ever since the Covid-19 pandemic. Accordingly, this study will shed light on the functional characteristics of Zoom, which was used as a creative tool for theater performances. At first, after examining theater performances presented in Korea and abroad using Zoom and their characteristics, the production stage of the Zoom play will be analyzed by dividing it into following stages; a research-based pre-production stage, a scene workshop stage that composes each scene based on the script, a recording stage filming each scene on Zoom, and Streaming stage for presenting the show. Furthermore, the actor's approaches to acting in this production process was presumed to be separation of gaze, re-recognition of space, utilization of expressive gestures, and reaction as an active action. As a result, it proposes the possibility of ongoing development of theatrical work using Zoom and the evolutionary aspect of actor's acting approaches in accordance with theatrical work via Zoom.

• Journal of Korea Entertainment Industry Association
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• v.14 no.8
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• pp.141-152
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• 2020

This thesis is a study on the creation of characters of "personality actors and character actors" among the concepts of "star persona" of S. Prince. This study selected 7 representative films of Jung Woo-sung, a representative personality actor in the Korean film industry, and analyzed how 'Jung Woo-sung-character' is embodied in the film as a character component suggested by R. Dyer. In the traditional sense, the actor's acting has been highly valued for transformation and impersonation in character creation, but discussing the method of creating a character focusing only on the actor's acting in a movie acting implemented in combination with advanced technology I don't think it's suitable for movie acting research. Theorists such as R.Dyer and Edgar Morin, who studied film actors and stars, also emphasize that 'movie actors are different from theater actors' (by the film medium). Therefore, in this thesis, a detailed analysis of the acting of a personality actor was avoided. As Morin pointed out that the character in the movie can be implemented through the actor's image and type, not playing the type of role. I tried to propose the significance of this character creation method of the personality actor by analyzing actor Jung Woo-sung and his character.

• Journal of Korea Entertainment Industry Association
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• v.13 no.4
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• pp.165-172
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• 2019

Signs of the street and scenes of the nature(tree) popping up like a still screen in a monotonously repeated routine, as if waiting for something by chance, characters appearing and disappearing without special meaning, advise you to get away from cliché meetings and breakups while repeating it. The images of people returning to their places without presenting any conclusions highlights the coincidences and unexpectedness of everyday life, but are so familiar that it is easy to be overlooked, it brings us to experience the potential of everyday unfamiliarity in such moments. The actor's performance, which deviates from the practice of well-organized characters, is improvised (unplanned and uncoordinated) emphasized on the scene and expresses the everyday nature of his differentiated character freely like the reality as if he were locked up in a film structure but not confined to it, and as if he got used to the everyday life. Also the repeated words and actions of characters, and unpredictable changes of emotions, centered by the encounters and conversations of this film of Hong Sang-soo, everything that is presented in the background of everyday life in its form, let's us pay attention to the meaning and what to be found in the film. In addition, director Hong Sang-soo, who creates a story after selecting actors to reproduce this daily process in a realistic manner, sets new relationships between the characters and the actors, presenting a new method of realistic expression, through the actor who repeatedly appears in the film. This study analyzes the everyday characters and acting of the film based on director Hong Sang-soo's directing style.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2011.11a
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• pp.143-146
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• 2011

2009년 11월 14일 발생한 부산 실내사격장 화재와 관련하여 조사내용을 토대로 화재 시뮬레이션용 전선유체역학 모델인 FDS를 이용하여 재현하였으며, 시뮬레이션 결과와 화재당시 녹화된 CCTV 영상을 비교하였다. 2층 발사실에서 시작된 화재는 급격히 연소가 진행되어 약 3초 후에 휴게실로 확산되며, 약 7초 후에는 계단 및 1층 홀을 지나 사람들이 통행하는 인도에까지 연기가 분출되는 것으로 나타났다. 시뮬레이션 결과는 2층 발사실과 휴게실에 녹화된 CCTV 영상 및 1층 홀 옆의 귀금속가게에 녹화된 CCTV 영상과 거의 일치하였다.

• Proceedings of the Korean Society of Computer Information Conference
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• 2020.07a
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• pp.33-35
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• 2020

이전 연구에 존재했던 영상에서 이미지를 추출하여 학습 데이터로 사용 할 때 시계열성을 고려하지 않은 상태에서의 검증은 정확하지 않을 수 있음을 설명한다. 정확한 형체를 가진 물체의 경우 매 프레임 마다 일정한 모양을 유지할 가능성이 크지만, 기체나 액체처럼 유동성이 큰 형태를 분사 혹은 방류 할 때 순간적인 간섭 혹은 분산에 의해 실제 값이 분사 량 혹은 방류량과 다를 수 있다. 본 연구에서는 이전 연구 중 Yolov3와 youtube 영상을 이용하여 연기 형태를 추출하고, 이를 Resnet에 학습시킨 연구를 이용하여 이와 비슷한 사례의 연구에서 나타날 수 있는 검증 오류들을 설명한다.

• 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.

• Journal of Satellite, Information and Communications
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• v.10 no.2
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• pp.70-74
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• 2015

In this paper, satellite communication based video surveillance system that consisted of ultra-small aperture terminals with small-size smart vision sensor is proposed. The events such as forest fire, smoke, intruder movement are detected automatically in field and false alarms are minimized by using intelligent and high-reliable video analysis algorithms. The smart vision sensor is necessary to achieve high-confidence, high hardware endurance, seamless communication and easy maintenance requirements. To satisfy these requirements, real-time digital signal processor, camera module and satellite transceiver are integrated as a smart vision sensor-based ultra-small aperture terminal. Also, high-performance video analysis and image coding algorithms are embedded. The video analysis functions and performances were verified and confirmed practicality through computer simulation and vision sensor prototype test.

• Fire Science and Engineering
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• v.26 no.2
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• pp.69-74
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• 2012

Thermal imaging technology based on IR sensor with high transmittance through the fire smoke is considered as one of the advanced technology for the fire service. The present study has been performed to investigate the image saturation characteristics with thermal condition of target and background and evaluate the performance of image quality based on the contrast transfer function (CTF). For the present testing conditions, TIC using BST sensor did not show the image saturation and the image quality based on the CTF was proportional to the temperature difference between target and background. This study can be utilized as preliminary study to improve reliability and technical development of TIC.

• The Journal of the Korea institute of electronic communication sciences
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• v.13 no.6
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• pp.1257-1262
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• 2018

In this paper, a deep learning method is proposed to detect the fire effectively by using video of surveillance camera. Based on AlexNet model, classification performance is compared according to kernel size and stride of convolution layer. Dataset for learning and interfering are classified into two classes such as normal and fire. Normal images include clouds, and foggy images, and fire images include smoke and flames images, respectively. As results of simulations, it is shown that the larger kernel size and smaller stride shows better performance.