• Journal of Satellite, Information and Communications
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• v.9 no.4
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• pp.26-31
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• 2014

In this paper, we present performance analysis of video smoke detection based on BPN-Network that is using multi-smoke feature, and Neural Network. Conventional smoke detection method consist of simple or mixed functions using color, temporal, spatial characteristics. However, most of all, they don't consider the early fire conditions. In this paper, we analysis the smoke color and motion characteristics, and revised distinguish the candidate smoke region. Smoke diffusion, transparency and shape features are used for detection stage. Then it apply the BPN-Network (Back-Propagation Neural Network). The simulation results showed 91.31% accuracy and 2.62% of false detection rate.

• The Journal of the Korea Contents Association
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• v.21 no.2
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• pp.718-726
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• 2021

A musical that combines singing, dancing, and acting is a popular musical drama created by the development of opera. These musicals are the cultural and industrial sectors that are commercially compatible with artistry and popularity. Musicals remind you of exciting and colorful live performances. This musical industry has been loved by the public as it was created not only on stage but also as a musical film. The film industry has been striving to express the musical's unique originality through film screens. In terms of acting, acting in musical films should be implemented to suit musical films. In order to do so, the characteristics of movie acting and musical acting will be understood at the same time and true musical film acting can be implemented on the screen when each genre is fused. In order to act as a musical film, it is necessary to understand the functional characteristics of each genre and apply the necessary functions on the spot.

• Proceedings of the Korean Information Science Society Conference
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• 2011.06c
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• pp.351-353
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• 2011

본 논문에서는 CCD카메라로부터 입력된 동영상에서 Random Forest를 이용하여 산불 연기를 검출하는 알고리즘을 제안한다. 산불 연기의 느린 움직임을 보완하기 위해 모든 프레임 대신에 변화가 큰 프레임들을 키 프레임으로 지정하고 지정된 키 프레임의 이전 100프레임 동안의 가 특징 값을 누적시켜 특징 백터를 추출한다. 이후, 학습 데이터들로부터 추출된 특징백터의 훈련과정을 통해 50개의 결정 트리를 갖는 Random Forest를 생성한다. Random Forest는 산불 연기의 정도에 따라 4개의 상태를 나타내는 클래스들로 분류하도록 학습되었으며 Random Forest에 의한 분류결과에 따라 해당 영역이 연기인지 아닌지를 최종 판단한다.

• Journal of the Korean Institute of Intelligent Systems
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• v.20 no.4
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• pp.516-521
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• 2010

In this paper, we propose a video-based intelligent unmanned fire surveillance system using fuzzy color models. In general, to detect heat or smoke, a separate device is required for a fire surveillance system, this system, however, can be implemented by using widely used CCTV, which does not need separate devices and extra cost. The systems called video-based fire surveillance systems use mainly a method extracting smoke or flame from an input image only. The smoke is difficult to extract at night because of its gray-scale color, and the flame color depends on the temperature, the inflammable, the size of flame, etc, which makes it hard to extract the flame region from the input image. This paper deals with a intelligent fire surveillance system which is robust against the variation of the flame color, especially at night. The proposed system extracts the moving object from the input image, makes a decision whether the object is the flame or not by means of the color obtained by fuzzy color model and the shape obtained by histogram, and issues a fire alarm when the flame is spread. Finally, we verify the efficiency of the proposed system through the experiment of the controlled real fire.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.18 no.3
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• pp.749-753
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• 2014

The purpose of this study analyzes the basic elements of film acting based on Stanislavsky Circles of Attention. This research also demonstrates the basic elements on how to become a good film actor. I attempt to interpret Stanislavsky Circles of Attention, in order to adapt the size of camera shots and the location of microphones. This Circles of Attention is an effective method utilized for actors to help them understand and be absorbed in the work of art both in film and stage. It is useful for building a character in realism drama as well as in film. I believe Stanislavsky Circles of Attention is certainly the most advanced acting style in film because it proposes the importance of physical action for actors.

• Journal of the Korea Computer Graphics Society
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• v.28 no.4
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• pp.23-30
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• 2022

In this paper, we propose an algorithm that can accurately segment a fire even when it is surrounded by smoke of a similar color. Existing fire area segmentation algorithms have a problem in that they cannot separate fire and smoke from fire images. In this paper, the fire was successfully separated from the smoke by applying the color compensation method and the fog removal method as a preprocessing process before applying the fire area segmentation algorithm. In fact, it was confirmed that it segments fire more effectively than the existing methods in the image of the fire scene covered with smoke. In addition, we propose a method that can use the proposed fire segmentation algorithm for efficient fire detection in factories and homes.

• Journal of the Korean Society of Marine Environment & Safety
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• v.25 no.4
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• pp.476-481
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• 2019

Early detection of fire is an important measure for minimizing the loss of life and property damage. However, fire and smoke need to be simultaneously detected. In this context, numerous studies have been conducted on image-based fire detection. Conventional fire detection methods are compute-intensive and comprise several algorithms for extracting the flame and smoke characteristics. Hence, deep learning algorithms and convolution neural networks can be alternatively employed for fire detection. In this study, recorded image data of fire in a ship engine room were analyzed. The flame and smoke characteristics were extracted from the outer box, and the YOLO (You Only Look Once) convolutional neural network algorithm was subsequently employed for learning and testing. Experimental results were evaluated with respect to three attributes, namely detection rate, error rate, and accuracy. The respective values of detection rate, error rate, and accuracy are found to be 0.994, 0.011, and 0.998 for the flame, 0.978, 0.021, and 0.978 for the smoke, and the calculation time is found to be 0.009 s.

• (The) Research of the performance art and culture
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• no.37
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• pp.365-389
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• 2018

This research aims to study Michael Chekhov's acting techniques scientifically, because his techniques has been studied only theoretically or empirically. Especially, this study focuses on 'imagination' and 'Psychological Gesture' from the perspective of cognitive psychology. Chekhov thought 'imagination' as the basis and core of all the works of acting. In cognitive psychology, it is called as 'imagery' and means 'a representation of the mind of the object not communicated by the sensory organs currently'. This study starts with defining imagery and takes a brief look at the features and kinds of imagery. Then the researcher will prove scientifically the possibility of training acting using imagery as Chekhov's assertion. For the proof of the validity of imagery, we'll look for the theoretical evidences-functional equivalence hypothesis, psychoneuromuscular theory, symbolic learning theory, psychophygiological information processing-and experimental ones-measurements of cerebral blood flow or event-related potential, experiments with fMRI(functional magnetic resonance imaging) or PET(positron emission tomography). As a result, we can see that imagery is functionally identical to perception and improves fulfillment of cognitive and physical tasks. As proving physical changes can draw out psychological changes(feeling) on the medium of imagery, we can also see the validity of Psychological Gesture. From the above research, even if Chekhov developed the acting techniques only on the basis of his experience, his techniques can be thought as having scientific validity. Though insufficient, this study can be a help for actors or students as they using Chekhov's techniques.

• Journal of Korea Entertainment Industry Association
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• v.13 no.3
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• pp.157-167
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• 2019

The actor Song Gang Ho who appeared in the late 1990s, expanded the personality of his characters on his own way by using his unique characteristics (way of talking and appearance) as a nuance of diverse characters, while playing the wide range of roles from the petite bourgeoisie to kings in various genres. Especially in films such as , which are based on real incidents and real people, Gang Ho Song's character embodies Korean history and cultural identity. Not only his serious, but light and seemingly uncalculated realistic acting style harmonizes with his character and reveals the sense of humanity creating a new genre called "Gang Ho Song's character", but also Gang Ho Song is solidifying his base and range as an actor. Therefore, this research aims to analyze his character and acting through the film while concentrating on his realistic expression and creativity based on Barry King's concept of authorship. First, the research will analyze the features of the historical and cultural identity of Song Gang Ho's character which reenacts the real people and incidents as well as analyzing his realistic acting and improvisation of his acting which adds vibrancy to his character. While looking at Song Gang Ho's acting as a self-reflective acting, he enhances the character's reality by creating the character's personality using his own physical features and this research will analyze how Song Gang Ho's self-reflectiveness harmonizes with the character's features which are expressed realistically in the film and how his character and acting creates a continuum.

• Fire Science and Engineering
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• v.15 no.1
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• pp.41-46
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• 2001

The flow induced by a vertically impinging circular jet under a horizontal plate is investigated by visualization technique, using kerosene smoke in nitrogen gas to visualize the vortex flow and impinging flow. The light source was the sheet beam of Ar-Ion laser. The vertical and horizontal images scattering of kerosene smoke were recorded by the high speed CCD camera and the video camera. The instantaneous velocity of the vortex and the mean velocity of the smoke front were measured from the acquisited images.