• Fire Science and Engineering
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• v.30 no.4
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• pp.73-81
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• 2016

A self-regulating heating cable is an electrical heating element by flowing an electric current between parallel conductors filled with an extruded semi-conductive polymer. Self-regulating heating cables are used mainly for frost protection purposes because the construction is convenient and the price is low. On the other hand, structural problems with imperfections of the insulation can cause a fire despite their usefulness. This paper deduced a direct method to derive the cause by investigating the scene of a fire due to a self-regulating heating cable and analyzed the basic problem using fault tree analysis. In this paper, the actual fire scene was a cold storage warehouse, and fire investigation was conducted. After investigating the fire scene and fault tree analysis, the cause of the fire could be attributed to dielectric breakdown of the self-regulating heating cable. This paper could be utilized in the fire safety activities and similar fire investigations.

• Journal of Oriental Neuropsychiatry
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• v.31 no.4
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• pp.289-299
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• 2020

Objectives: The aim of this study is to investigate current research trends of Four Pillars of Destiny and verify its values and potential in the counselling scene, as the Four Pillars of Destiny's territory has been expanding to counselling, medical and psychiatric realm nowadays. Methods: The studies were searched from psychotherapy to general consultation, directly or indirectly related to counseling and Four Pillars of Destiny. Twenty-one published research studies were selected for analysis. The studies were categorized into 7 groups, meta-analysis, comparison with other personality tests, user's trend analysis, utilization in job counseling, disease prediction study, utilization in treatment counseling, and use in Korean medicine. Results: The selected studies attempted to expand Four Pillars of Destiny's usage through combination with other fields such as artificial intelligence, Korean medicine, and personality test. Furthermore by analyzing Four Pillars of Destiny itself to extract its key elements in counseling, such as therapeutic counseling factors and occupational counseling factors. Conclusions: At present, there are no standard use of Four Pillars of Destiny in counseling scene, for no large-scale research has been conducted or completed on this subject. This current status quo leads this paper to end up just understanding the counseling factors and possibilities of Four Pillars of Destiny rather than its psychological theory and clinical effect. However, this research trend analysis will be helpful in preparing future studies investigating Four Pillars of Destiny's counseling effect, application in the counseling scene and its psychological theory. Also, further studies, including confirmation of the theory through the operational definition, prospective research, control study, statistical technique are required in order to evaluate Four Pillars of Destiny's psychological theory and its effects to verify its use in clinical scenes.

• Cartoon and Animation Studies
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• s.44
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• pp.1-31
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• 2016

In this thesis, the movie with mise-en-scene established was compared with the peculiarity of the play that is the etymological source of the term to identify the peculiarity of mise-en-scene which was substituted into animation to find the peculiarity of mise-en-scene in animation. To emphasize the direct connection between the frame's visual peculiarity and the director's opinions, the mise-en-scene of director centered animation created under a restricted environment was reviewed. Mise-en-scene which started from movie critics theory does not simply mean the arrangement of images in a frame. Mise-en-scene emphasizes the exposure of the work's motive by the visual components. The animation's assuming the middle point of environmental share possessed by play and movie when schematizing the genre peculiarity of animation, play and movie was a noteworthy result. It can be said that the cause is that the animation's peculiarity yield different results depending on the making methods; we verified that this is a key factor in the analysis of animation's mise-en-scene. I emphasized that the peculiarity of animation mise-en-scene is in its making method and material and suggested identifying the work's making methods and analyzing the work's aesthetic results derived in this way. The russian animation which was perceived as peripheral arts was relatively free from the burden of censorship while receiving support from the Soviet as a media for propaganda. The russian animation's mise-en-scene which found the material for its works in the country's folklore was metaphorical, focused on new expression forms and achieved experimental elements. Russian animation pursues a unique aesthetic world through space expression based on the forms of opera or ballet and heavy motions formed static inbetweens.

• Journal of Biomedical Engineering Research
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• v.15 no.1
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• pp.27-34
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• 1994

In this paper. a way to analysis a corridor scene for a vehicle's automatic locomotion is presented In general, it's necessary for a vision system of vehicles to identify its positions in given environments. The suggested algorithm is to decide base lines of a corridor image using the vanishing point finding. Feature points are extracted on the base line using a base line extraction tree. This algorithm is suitable for a motorized wheelchair's self locomotion in a building.

• 한국정보교육학회:학술대회논문집
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• 2011.01a
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• pp.47-51
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• 2011

The aim of Information Education is to improve the problem-solving skills based on Computational Thinking. In the current elementary school curriculum, there is no independent information subject. So, it will get used to browse the sub-element being applied implications for Computational Thinking through an analysis of teaching and leaning elementary mathematic scene. In this paper reveal the relationship sub-element of the Computational Thinking for solving problems through teaching and learning scene in elementary mathematics.

• Language and Information
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• v.20 no.1
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• pp.1-24
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• 2016

Korean is well-known for its topic-prominent properties. In this paper, we look into several subtypes of topic constructions whose grammatical complexities have received much attention in generative grammar. From a semantic/pragmatic view, topics in Korean can be classified into three different types: aboutness, contrastive, and scene-setting. Meanwhile, syntax can classify topic constructions into two types, depending on whether or not the comment clause following topic has a syntactic gap linked to the topic. In this paper, we review some key properties of these topic constructions in Korean, and suggest that each type is licensed by tight interactions between syntactic and semantic constraints. In particular, the paper tries to offer a Construction Grammar analysis where each grammatical component is interacting in non-modular ways and in which the multiple inheritance network of constructions plays an important role in capturing cross-cutting generalizations of the topic constructions.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.24 no.10
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• pp.5-12
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• 2010

The purpose of this study is to present the EV range in HDRI acquisition process to create luminance map. The proposed method in this study is to capture the scene at EV ${\pm}0$ that is the longest exposure points and reference point in the scene. With this reference point, sets of 25 LDRI test case were taken manually at ${\pm}2$ EV using the aperture-priority manual mode. The 25 HDRIs were created using Adobe Photoshop. The HDRIs were then imported Radiance lighting simulation program to be analyzed into falsecolor. The analysis results of the 25 HDRIs test case are 50[%] of the all tested case have a margin of error of 10[%]. In case of f/5.6, the luminance map generated with HDRI were similar to the spot luminance meter. As a result, the EV range to reduce error of luminance map generated with HDRI is EV $+2{\sim}{\pm}0{\sim}-10$.

• The KIPS Transactions:PartB
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• v.8B no.5
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• pp.493-500
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• 2001

Video scene segmentation is fundamental role for content based video analysis. In this paper, we propose a new region based video scene segmentation method using continuity test for each object region which is segmented by the watershed algorithm for all frames in video data. For this purpose, we first classify video data segments into classes that are the dynamic and static sections according to the object movement rate by comparing the spatial and shape similarity of each region. And then, try to segment each sections by grouping each sections by comparing the neighbor section sections by comparing the neighbor section similarity. Because, this method uses the region which represented on object as a similarity measure, it can segment video scenes efficiently without undesirable fault alarms by illumination and partial changes.

• Journal of the Optical Society of Korea
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• v.17 no.3
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• pp.255-261
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• 2013

Scene-based nonuniformity correction techniques for infrared focal-plane arrays have been widely considered as a key technology, and various algorithms have been proposed to compensate for fixed-pattern noise. However, the existed algorithms' capability is always restricted by the problems of convergence speed and ghosting artifacts. In this paper, an effective scene-based nonuniformity correction method is proposed to solve these problems. The algorithm is an improvement over the constant statistics method and a temporal median is utilized with the Gaussian kernel to estimate the nonuniformity parameters. Also theoretical analysis is conducted to demonstrate that effective ghosting artifacts elimination and superior convergence speed can be obtained with the proposed method. Finally, the performance of the proposed technique is tested with infrared image sequences with simulated nonuniformity and with infrared imagery with real nonuniformity. The results show the proposed method is able to estimate each detector's gain and to offset reliably and that it performs better in increasing convergence speed and reducing ghosting artifacts compared with the conventional techniques.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.10C
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• pp.983-991
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• 2005

Human faces are commonly found in a video such as a drama and provide useful information for video content analysis. Therefore, face detection plays an important role in applications such as face recognition, and face image database management. In this paper, we propose a face detection algorithm based on pre-processing of scene change detection for indexing and cast searching in video. The proposed algorithm consists of three stages: scene change detection stage, face region detection stage, and eyes and mouth detection stage. Experimental results show that the proposed algorithm can detect faces successfully over a wide range of facial variations in scale, rotation, pose, and position, and the performance is improved by $24\%$with profile images comparing with conventional methods using color components.