• Journal of the Korea Fashion and Costume Design Association
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• v.11 no.1
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• pp.155-167
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• 2009

This study reviewed the basic principle of "Maximalism" fashion and analyzed the properties of fashion types with found the frequencies of various styles and design factors of "Maximalism" fashion in collection. The limits of this study is from 2001, s/s, maximalism was embossed in a modem fashion, to 2007, f/w, and collected the fashion collection pictures from www.samsungdesign.net and www.style.com. The results of this study are as follows. First, the most frequent style of "Maximalism" design showed in International fashion collection was "exaggerated style." Second, the design factors of "Maximalism" fashion were also examined. In case of silhouette, "hourglass silhouette" was the most frequent silhouette. In case of pattern, "solid" color was the most frequently used. In case of materials, the soft materials were the most frequently used. Third, the frequencies of design factors of maximalism by presentation types was compared and analyzed. In case of expansion, "bulk silhouette" was the most frequent silhouette to be appeared, and about multi-ethnic, futurelism, and elegance, "hourglass silhouette" was frequent appeared. In case of pattern, "solid" color was the most frequently used in all types. In case of materials, the hard materials were the most frequently used in expansion, multi-ethnic and futurelism. "Maximalism" fashion which is most splendid trend would grow up rapidly in the modem fashion market and influence on the other fashion trend in our every day life. Consequently, this research can be referred as practical information in fashion marketing and it will contribute to the future fashion research as well.

• Journal of the Korean Society of Tobacco Science
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• v.28 no.1
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• pp.1-8
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• 2006

To get the information of flue-cured leaf, the chemical constituents, quality indices, leaf color and the effects of climatic factors on the physicochemical properties of leaf produced from 2000 to 2004 crop years at 6 growing areas were analysed. The average leaf chemical contents for 5 years were as follows ; nicotine 2.22%, total sugar 28.0%, total nitrogen 1.89%, ether extracts 6.37% and chlorine 0.38%. The nicotine and total nitrogen contents were low while the total sugar were high as compared with KT&G recommended contents(nicotine ; $2.5{\sim}3.0%$, total nitrogen; $2.0{\sim}2.5%$, total sugar ; below 25.0%). The variations of physicochemical properties among crop years were high while those of growing areas relatively low. The nicotine content of leaf was negatively correlated to the rainfalls in June and July sugar content was negatively correlated to the average air temperature in June and July according to crop years. The orange colored leaves were produced under the drought and long sunshine weather condition while the lemon colored leaves were produced under the contrary condition according to crop years. Blending the different crop year's leaves in the proper way may be beneficial to produce of uniform and consistent cigarettes. It is considered that the increasing of nitrogen fertilizer or improving of nitrogen uptake may be available to increase the nicotine and nitrogen and decrease the total sugar contents of flue-cured leaf tobacco.

• The Journal of the Korea Contents Association
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• v.11 no.5
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• pp.15-24
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• 2011

Recently various anatomic researches by using serially sectioned images in VK(Visible Korean) project are in progress. In that sense, it is very important and necessary to represent images which keep information of the original anatomic images. In this regard, there are some studies to get rid of slice patterns in coronal and sagittal images. However, according to the rapid spatial frequency changes, the ringing effect occurred in common. In addition, because of merge with the original images which have splice patterns, those patterns appeared again. Therefore, in this study we found effective color space to apply to FFT(Fast Fourier Transform) and notch filter in getting rid of the slice patterns. To verify this, we used RGB, LAB, CMYK, HSV and HSL color space. Secondly we got rid of and alleviated the ringing effect by improving notch filter. To verify this, we compared proposed method with previous study on the basis of original images by visual method and objective values. These result images are expected to contribute to anatomy research in relation to VK project.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.36S no.10
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• pp.113-122
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• 1999

When we want to retrieve the most similar image from the image database, the color histogram intersection, shape feature and texture feature comparing method are used as a metric to measure the similarity. In order to increase the accuracy of retrievals, we need to integrate two different features. In this paper, the histogram intersection and shape based block histogram intersection method are used. This method results in a high efficient algorithm that meets a similar accuracy and a relatively fast retrieval speed compared to the method of integration of two different features. The Proposed algorithm is tested on retrievals of image database consisting of various 600 images and we implemented that the proposed algorithm gives fast, high efficiency and reliability compared to others.

• The KIPS Transactions:PartA
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• v.13A no.4 s.101
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• pp.295-304
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• 2006

Java has been established as one of the most widely-used languages owing to its support of object-oriented concepts, safety, and flexibility. Garbage collection in the Java virtual machine is a core component that relieves application programmers of difficulties related to memory management. In this paper, we propose a memory manager and a garbage collector that is implemented on a embedded java virtual machine. The memory manager divide a heap into various-sized cells and manages it as blocks of same-sized cells. So it is possible to allocate and free memory fast. We adopted the 3-color based Mark & Sweep garbage collector as our base algorithm and we propose 4-color based Mark & Sweep garbage collector for supporting multi-threaded program. The proposed garbage collector occurs memory fragmentation but we show through a experiment that the fragmentation ratio is almost fixed according as we create objects continuously.

• Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography
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• v.36 no.6
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• pp.483-497
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• 2018

Image mosaicking, which combines several images into one image, is effective for analyzing images and important in various fields of spatial information such as a continuous image map. The crucial processes of the image mosaicking are optimal seamline determination and color correction of mosaicked images. In this study, the overlap regions were determined by SURF (Speeded Up Robust Features) for image matching. Based on the characteristics of the edges extracted by Canny filter, seamline candidates were selected from classified edges with their characteristics, and the edges were connected by using Dijkstra algorithm. In particular, anisotropic filter and image pyramid were applied to extract reliable seamlines. In addition, it was possible to determine seamlines effectively and efficiently by utilizing building and road layers from digital maps. Finally, histogram matching and seamline feathering were performed to improve visual quality of the mosaicked images.

• Korean Journal of Agricultural Science
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• v.46 no.2
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• pp.239-256
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• 2019

The quality of tomatoes drastically changes according to storage conditions, such as temperature, humidity, and air composition. High storage temperatures result in the degradation of the firmness and color of tomatoes and in decay by bacteria, whereas chilling injury and softening can be caused by storage at low temperatures. The gas composition in the storage and packaging are other parameters that influence the quality and shelf life of tomatoes by preventing excessive transpiration and respiration. In addition, tomato quality is dependent on the degree of maturity and harvest season. Because there are many quality parameters, it is necessary to systemically establish an optimal standard, and this approach requires collecting and reviewing various data on storage conditions. The aim of this review was to provide basic information by comparing and analyzing studies on the changes in tomato quality (firmness, color, lycopene content, and acidity of tomatoes) during storage and to describe a few models that can assess the quality parameters. Many studies have provided results from experiments on the effects of postharvest control (e.g., storage temperature, packaging film, and gas treatment, as reviewed above) on tomato quality including firmness, soluble solids content, and lycopene content. However, it is still necessary to conduct an overall analysis of the published conditions and to determine the best method for preserving the quality of tomatoes as well as other fruits.

• Fashion & Textile Research Journal
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• v.26 no.1
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• pp.99-109
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• 2024

This study aimed to assess the satisfaction levels of adolescents with beauty programs, investigate the factors influencing them, and present foundational insights for designing cosmetics and beauty education initiatives tailored to adolescents. Specifically focusing on the "Safety and Use Education for Youth Cosmetics" program implemented in Gwangju Metropolitan City, it examined the satisfaction of participants, including students, instructors, and school teachers involved in the education. The study was based on action research, a qualitative methodology. The conclusions are as follows: First, participants gained knowledge and information encompassing various aspects of cosmetics, such as types, expiration dates and usage span, face wash and skin types, shampooing methods, scalp care, role and significance of sunscreen, skin trouble management, and identification of skin type, through cosmetic education programs. Second, participants learned about techniques such as eyebrow trimming, eyebrow shape correction, facial contour correction, skin blush supplementation, color makeup, personal color, and tattooing. Third, there is an urgent need to develop different educational teaching resources suitable for implementation across elementary, middle, and high schools. Fourth, it is necessary to cultivate higher-quality instructors in this digital age. Fifth, it is crucial to explore new methods of delivering beauty education to adolescents. We hope the insights gleaned from this study will serve as useful foundational data, albeit modest, fostering new beauty trends amidst the challenging landscape of youth education.

• Proceedings of the KOSOMBE Conference
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• v.1998 no.11
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• pp.57-59
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• 1998

For medical students and doctors, knowledge of the three-dimensional (3D) structure of brain is very important in diagnosis and treatment of brain diseases. Two-dimensional (2D) tools (ex: anatomy book) or traditional 3D tools (ex: plastic model) are not sufficient to understand the complex structures of the brain. However, it is not always guaranteed to dissect the brain of cadaver when it is necessary. To overcome this problem, the virtual dissection programs of the brain have been developed. However, most programs include only 2D images that do not permit free dissection and free rotation. Many programs are made of radiographs that are not as realistic as sectioned cadaver because radiographs do not reveal true color and have limited resolution. It is also necessary to make the virtual dissection programs of each race and ethnic group. We attempted to make a virtual dissection program using a 3D image of the brain from a Korean cadaver. The purpose of this study is to present an educational tool for those interested in the anatomy of the brain. The procedures to make this program were as follows. A brain extracted from a 58-years old male Korean cadaver was embedded with gelatin solution, and serially sectioned into 1.4 mm-thickness using a meat slicer. 130 sectioned specimens were inputted to the computer using a scanner ($420\times456$ resolution, true color), and the 2D images were aligned on the alignment program composed using IDL language. Outlines of the brain components (cerebrum, cerebellum, brain stem, lentiform nucleus, caudate nucleus, thalamus, optic nerve, fornix, cerebral artery, and ventricle) were manually drawn from the 2D images on the CorelDRAW program. Multimedia data, including text and voice comments, were inputted to help the user to learn about the brain components. 3D images of the brain were reconstructed through the volume-based rendering of the 2D images. Using the 3D image of the brain as the main feature, virtual dissection program was composed using IDL language. Various dissection functions, such as dissecting 3D image of the brain at free angle to show its plane, presenting multimedia data of brain components, and rotating 3D image of the whole brain or selected brain components at free angle were established. This virtual dissection program is expected to become more advanced, and to be used widely through Internet or CD-title as an educational tool for medical students and doctors.

• Smart Media Journal
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• v.3 no.3
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• pp.26-35
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• 2014

The statistical graphics is a design field focusing on the user perception aspects for the correct information delivery and the effective understanding, with the use of the quantitative data through the information analysis, extraction, visualization process. The statistical graphics with the big data composition factor is termed as the statistical big data graphics. In the statistical graphics the visual factors are used to reduce the errors in the perception part and to successfully deliver the information. However, in the statistical big data graphics the visual factors of the enormous data are causing the cognitive discouragements. The purpose of this study is to extract the cognitive discouragement factors from the big data statistical graphics, categorizing the types of the statistical big data graphics as 'network type', 'segment type', and 'mixed type', based on their compositional shapes, and explored the characteristics according to them. Especially, based on the visual main factors in the statistical big data graphics, We extracted the cognitive discouragement factors that appear in the high visualization as the four categories: 'multi-dimensional cases', 'various color', 'information overlap', and 'legibility of the writing'.