• Journal of the Korea Academia-Industrial cooperation Society
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• v.8 no.6
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• pp.1449-1457
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• 2007

A panorama image is constructed by merging several overlapped images to a big one. There are two kinds of methods, feature based and direct method, in the construction. Feature based one has a merit of processing speed faster than direct one. But, it is difficult to be implemented under slower processing environments such as mobile device. This paper proposed high speed construction method of a panorama image. The algorithm extremely improved matching speed by reducing the number of matching parameters using scene shot guider, and additionally adapted local matching technique to reduce matching error caused by the fewer matching parameters. In the experiments, it was shown that the proposed method required about 0.078 second in processing time, about 17 times shorter than the feature based one, for 24-bit color images of $320{\times}240$ size.

• Journal of IKEEE
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• v.23 no.1
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• pp.112-119
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• 2019

In this paper, we propose a deep learning structure suitable for embedded system. The flame detection process of the proposed deep learning structure consists of four steps : flame area detection using flame color model, flame image classification using deep learning structure for flame color specialization, $N{\times}N$ cell separation in detected flame area, flame image classification using deep learning structure for flame shape specialization. First, only the color of the flame is extracted from the input image and then labeled to detect the flame area. Second, area of flame detected is the input of a deep learning structure specialized in flame color and is classified as flame image only if the probability of flame class at the output is greater than 75%. Third, divide the detected flame region of the images classified as flame images less than 75% in the preceding section into $N{\times}N$ units. Fourthly, small cells divided into $N{\times}N$ units are inserted into the input of a deep learning structure specialized to the shape of the flame and each cell is judged to be flame proof and classified as flame images if more than 50% of cells are classified as flame images. To verify the effectiveness of the proposed deep learning structure, we experimented with a flame database of ImageNet. Experimental results show that the proposed deep learning structure has an average resource occupancy rate of 29.86% and an 8 second fast flame detection time. The flame detection rate averaged 0.95% lower compared to the existing deep learning structure, but this was the result of light construction of the deep learning structure for application to embedded systems. Therefore, the deep learning structure for flame detection proposed in this paper has been proved suitable for the application of embedded system.

• Proceedings of the Korea Institute of Fire Science and Engineering Conference
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• 2008.11a
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• pp.195-201
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• 2008

When reinforced concrete is subjected to high temperature as in fire, there is deterioration in its properties of particular importance are loss in compressive strength, cracking and spalling of concrete, destruction of the bond between the cement paste and the aggregates and the gradual deterioration of the hardend cement paste. Assessment of fire-damaged concrete usually starts with visual observation of color change, cracking and spalling of the surface. In this paper, it was reported the trends of research and practical use on the Explosive Spalling Properties of the High-Strength Concrete.

• Proceedings of the KIEE Conference
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• 1995.07c
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• pp.1255-1261
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• 1995

The development of LCD Simulation program has been targeted to the design and estimation of LCD in an efficient, reasonable and proper method. In developing this program, we have got the theoretical construction for analysis of LCD. Moreover, we've applied CAE to the field of LCD, and thus we could help finding the optimal condition of LCD design or new type of LCD. This software can be applied for the modes such as TN, mono-STN, B/W STN(DSTN, FSTN), color STN, TFT, reflective modes and the program can be developed for other modes.

• Publications of The Korean Astronomical Society
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• v.10 no.1
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• pp.135-146
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• 1995

We have developed a graphic software for image processing of astronomical data obtained by observational equipment in Astronomical Observatory of Kyung Hee University. The essential hardware for running our computer program is simply composed of a PC with the graphic card to handle 256 colors and the color graphic monitor, including CCD camera system. Our software has been programmed in WINDOWS to provide good environments for users, by using various techniques of image processing on astronomical image data recorded in FITS format by KHCCD program(Jin and Kim, 1994) with a compressional mode. We are convinced that our results will be a fundamental and useful technique in the construction of data processing system and can be effectively used in any other observatories, as well as in data processing system of Kyung Hee University.

• The Bulletin of The Korean Astronomical Society
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• v.38 no.2
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• pp.64.2-64.2
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• 2013

As more spectroscopic observations accumulate, it becomes evident that there are variations in light elements, such as C, N, O, and Na, between the sub-populations in most globular clusters (GC) in the Milky Way. We have constructed a new set of isochrones and horizontal branch evolutionary tracks with enhanced Nitrogen and depleted Oxygen to study their effects on the evolution of stars in GCs. From these results, we found that their effects on the evolution in color-magnitude diagram are significant in determining the age of GCs. In order to reflect these effects in the construction of population models for GCs, we have expanded the parameter space of Yonsei-Yale Isochrones and HB evolutionary tracks by introducing abundance enhancements of N for various global metal abundances and helium contents. In this paper, we will present our preliminary results from these calculations.

• Journal of the Korea Furniture Society
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• v.18 no.4
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• pp.275-281
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• 2007

This study was carried out to know bending process property of bentwood by treatment methods such as microwave and ammonia solution treatment. Bentwood processing was operated on bending-jig form with 60mm and 100mm radius of curvature (ROC). The species was used to Korean red pine (Pinus densiflora). No significant difference was shown in bentwood processing method on ROC. In treatment method, ammonia solution treatment for bentwood was better in dimensional stability and working ability than that of microwave treatment. However, bentwood stress was reduced with ammonia solution treatment. Color of bentwood surface appearance has a dark tendency in ammonia solution treatment. But it seems to beautiful effect of apparent annual ring is rising esthetically by ammonia solution treatment. To utilize wood as a exterior material for living amenity, it has to be closely examined from various angles including surface property, degree of swelling and shrinkage, drying state, retaining strength, durability, safety, and insect damage.

• Korean Institute of Interior Design Journal
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• no.25
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• pp.262-271
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• 2000

Nowadays tiles are widely used as architectual material because of their external beauty, solidity with fire-resisting and water-resisting qualities, and convenience for construction, preservation and repairs. Owing to the improvement of living standard and makers scramble for tile markets, we regard tiles as art and culture. Tiles have been developed with technical improvement, based on mutual relation of material and design. The purpose of the third firing is to create high value added as we show artistic merit and decorative effect. For this reason, researches on new material and design have been carried out widely. I made researches whole process from design to printing by means of computer and experiment with color and vetroza of the third firing. I hope that tile makers will share the achievement of university researchers and this paper will be useful for those who are interested in tiles.

• Journal of the Korean Society of Clothing and Textiles
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• v.16 no.1 s.41
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• pp.3-21
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• 1992

The main objective of this study was to find out the relationship between life style types and clothing evaluatie criteriria. Social wear was selected according to the defined time, place, and occasion's. The questionnaire was administered to 640 housewives during the fall of 1988. The research problems were as follows: 1. To segment the target according to their life styles, and to profile the characteristics of the categorized life style types. 2. To determine the differences in the clothing evaluatie criteria among the various life style types. The result were as follows: 1. Five life style types were defined. They were the Achievement oriented type, the Active- leisure type, the Material oriented type, Conservative-frugal type, and the Passive-stagnant type. 2. The differences in consumer preferences at the element level evaluative criteria including color, fiber content, fabric construction, fabric design, and classes of clothes among the five life style types were also analyzed revealing partial significance.

• Proceedings of the Korean Society for Emotion and Sensibility Conference
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• 2000.04a
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• pp.261-264
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• 2000

A database was constructed for customers to find and choose and apparel product. The product information was collected from words on several kinds of advertisement, which purchasers meet in their ordinary life. The information was sorted and categorized in 8 basic mother categories (Target group, Color, Apparel type, Fabric, Size, Price, Manufacturer) to build a suitable database structure. Each mother category was arranged into subcategories. Also this study showed a demonstration version of the retrieval system. the research resulted can be used for more intensive retrieval system.