• Korean Journal of Remote Sensing
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• v.34 no.2_1
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• pp.237-248
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• 2018

The vertical distribution of hydrometeor before precipitation near the cloud base has been analyzed using a scanning lidar, rawinsonde data, and Cloud-Resolving Storm Simulator (CReSS). This study mostly focuses on 13 Desember 2016 only. The typical synoptic pattern of lake-effect snowstorm induced easterly in the Yeongdong region. Clouds generated due to high temperature difference between 850 hPa and sea surface (SST) penentrated in the Yeongdong region along with northerly and northeasterly, which eventually resulted precipitation. The cloud base height before the precipitation changed from 750 m to 1,280 m, which was in agreement with that from ceilometer at Sokcho. However, ceilometer tended to detect the cloud base 50 m ~ 100 m below strong signal of lidar backscattering coefficient. As a result, the depolarization ratio increased vertically while the backscattering coefficient decreased about 1,010 m~1,200 m above the ground. Lidar signal might be interpreted to be attenuated with the penetration depth of the cloud layer with of nonspherical hydrometeor (snow, ice cloud). An increase in backscattering signal and a decrease in depolarization ratio occured in the layer of 800 to 1,010 m, probably being associated with an increase in non-spherical particles. There seemed to be a shallow liquid layer with a low depolarization ratio (<0.1) in the layer of 850~900 m. As the altitude increases in the 680 m~850 m, the backscattering coefficient and depolarization ratio increase at the same time. In this range of height, the maximum value (0.6) is displayed. Such a result can be inferred that the nonspherical hydrometeor are distributed by a low density. At this time, the depolarization ratio and the backscattering coefficient did not increase under observed melting layer of 680 m. The lidar has a disadvantage that it is difficult for its beam to penetrate deep into clouds due to attenuation problem. However it is promising to distinguish hydrometeor morphology by utilizing the depolarization ratio and the backscattering coefficient, since its vertical high resolution (2.5 m) enable us to analyze detailed cloud microphysics. It would contribute to understanding cloud microphysics of cold clouds and snowfall when remote sensings including lidar, radar, and in-situ measurements could be timely utilized altogether.

• Korean Journal of Heritage: History & Science
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• v.55 no.1
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• pp.85-110
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• 2022

This study investigates the production and use, development of Buncheongsagisang-gamunryongmunho, focusing on Buncheong Jar with dragon and cloud patterns(龍樽) in the early the Joseon Dynasty. The Buncheong Jar with dragon and cloud patterns(龍樽) which is the size of a large bottle as high as 50cm is a form of stability to have gorgeous decorativeness with the inlaid and stamped pattern. The Buncheongsagisanggamunryongmunho is the Buncheong Jar with dragon and cloud patterns(龍樽) used for Flower Vessels(花樽) at Royal Ritual in King Sejong(世宗) era. In the 1420s and 1430s, made in Premium ceramic factory of Sangju-mok, it is Blue and white porcelain in reference to dragon and cloud patterns in the Yuan and Ming Dynasties in aspects of shapes and patterns, to the inlaid Celadon in the period of Late Goryeo Dynasty in aspects of patterns, and to Joseon porcelain in aspects of shapes and decoration techniques. The Joseon Royal family found out the appropriateness of the founding of the dynasty and the base for the system of civilization from Ming dynasty, to follow Ming dynasty by choosing white porcelains as the King's vessel. Jars passed down from Emperor Ming served as a standard for Royal Ritual Jars, to use Blue and White Porcelain Jar with dragon and cloud patterns as Flower Vessels(花樽) and Liquor Vessels(酒樽) for ages. Consequently, the Buncheong Jar with dragon and cloud patterns(龍樽) as Royal Ritual Jar had been used till 1430's when Blue and white porcelain Jar with dragon and cloud patterns(靑花雲龍白磁酒海) was passed down from Emperor Ming, Xuande Emperor(宣德帝), only to lose its Meaning and Use as the Royal Jar with dragon and cloud patterns(龍樽) during the early Joseon Period gradually.

• Journal of the Korean Society of Costume
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• v.65 no.8
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• pp.95-109
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• 2015

The purpose of this Study is to understand Supsin (shoes for dead) in late Chosun dynasty through records and excavated relics. The research records in this study were two types which one was official records as The Annals of The Chosean Dynasty(朝鮮王朝實錄), Dairy of the Royal Secretariat(承政院日記) ets and the other was private records as Korean literary collections of confucian scholars in classical chinese(文集) ect. as for relics use two types of materials that one is the excavated supsins and the other is Research Reports of Excavated Costumes published from museums. Through the Collections, we can notice that shoes were several types which Wunhae(雲鞋), Danghae(唐鞋) Onhae(溫鞋) Wunli(雲履), Taesahae(太史鞋) in Chosun dynasty. these were worn in different ways according to wearer's gender, the social status, daily life or rituals, inside or outside in palace. Wunhae and Wunli was the most ceremonial shoes for man and Onhae was the most ceremonial shoes for woman. the dead man worn the Wunhae or Wunli for Supsin and the dead woman worn Onhae. we could see they use the most ceremonial shoes for supsin. through the records, we could see the change that Women's Supsin was written for the first time in 18th Saraepyenram(四禮便覽). men's Supsin was recorded as '履', while Women's Supsin was recorded as '鞋' in Saraepyenram. the reason for making difference between man and woman in costumes(男女有別). and the excavated Supsin showed that the dead worn more ceremonial shoes than records. these changes mean one of the results for making korean style rituals from chinese style(國俗化).

• Journal of the Korean Society of Costume
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• v.59 no.8
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• pp.132-151
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• 2009

All of 132 kinds of fabrics are used in excavated costume from the Dongrae Jung's Tomb. Classified by its materials, it is divided into small groups as follows: 58 pieces of silk tabby 43.9%, 2 of filament silk tabby 1.5%, 14 of thin filament silk tabby 10.6%, 19 of spun yarn silk 14.4%, 4 of twill without a pattern 3.0%, 8 of patterned silk tabby 6.1%, 23 of satin damask 17.4%, 1 of damask with supplementary gold thread 0.8%, 2 of mixture fabric with silk and cotton 1.5%, and 1 of ramie fabric 0.8%. Classified by ways of weaving: 96 pieces of plain weave 73%, 23 of satin weave 17%, 8 of patterned silk tabby consisting of plain weave material and twill weave pattern-6%, 4 of twill weave 3%, and 1 of compound weave 1 %. In point of patterns, the most often used ones are plant patterns such as lotus patterns, peony patterns, plum blossom patterns, flowers representing seasons patterns, and small flower patterns. For animal patterns, it has phoenix patterns designed together with flowers representing seasons patterns. And for natural scenery patterns, it shows cloud patterns with treasures patterns together. For object patterns, it also shows treasures patterns mixed with cloud or lotus together. For geometrical patterns, it has rhomboid patterns and 卍 character patterns; some show only rhomboid patterns and others show material patterns of 卍 character patterns blended together with fruit, lotus, etc.

• Proceedings of the Korea Contents Association Conference
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• 2008.05a
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• pp.24-27
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• 2008

As shown in Wikipedia, tagging or cross-linking through major key-words improves the readability of documents. Recently, the Semantic Web rises the importance of social tagging as a key feature of the Web 2.0 and Tag Cloud has emerged as its crucial phenotype. In this paper we provides an efficient method of automated keyword tagging based on controlled term collection, where the computational complexity of O(mN) - if pattern matching algorithm is used - can be reduced to O(mlogN) - if Information Retrieval is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that IR-based tagging speeds up 5.6 times compared with fast pattern matching algorithm.

• Korean Journal of Remote Sensing
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• v.12 no.2
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• pp.111-125
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• 1996

A forecast technique using GMS-4(Geostationary Meteorological Satellite) infrared images and its $T_{BB}$ (Brightness Temperature) data to determine the tropical cyclone center and to analyze the tropical cyclone intensity has been developed. First, the determination of typhoon center using $T_{BB}$ distribution pattern is practiced by understanding a special feature of central cloud pattern and cloud band which is analyzed with the method of pseudo coloring. Then, to forecast the intensity of tropical cyclone, a relationship between the central pressure (or maximum wind speed) of tropical cyclone and $T_{BB}$ measured by GMS near the tropical cyclone center was investigated. The results showed a correlation with a high lag relationship between central pressures and $T_{BB}$. The mean Tee in the ring of 200~300km apart from the tropical cyclone center showed the best correlation to central pressure of the tropical cyclone after 24hour. From this relationship, a regression equation to forecast the central pressure (or maximum wind speed) was derived.

• Korean Journal of Remote Sensing
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• v.39 no.6_1
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• pp.1211-1224
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• 2023

Clouds cause many difficult problems in observing land surface phenomena using optical satellites, such as national land observation, disaster response, and change detection. In addition, the presence of clouds affects not only the image processing stage but also the final data quality, so it is necessary to identify and remove them. Therefore, in this study, we developed a new cloud detection technique that automatically performs a series of processes to search and extract the pixels closest to the spectral pattern of clouds in satellite images, select the optimal threshold, and produce a cloud mask based on the threshold. The cloud detection technique largely consists of three steps. In the first step, the process of converting the Digital Number (DN) unit image into top-of-atmosphere reflectance units was performed. In the second step, preprocessing such as Hue-Value-Saturation (HSV) transformation, triangle thresholding, and maximum likelihood classification was applied using the top of the atmosphere reflectance image, and the threshold for generating the initial cloud mask was determined for each image. In the third post-processing step, the noise included in the initial cloud mask created was removed and the cloud boundaries and interior were improved. As experimental data for cloud detection, CAS500-1 L2G images acquired in the Korean Peninsula from April to November, which show the diversity of spatial and seasonal distribution of clouds, were used. To verify the performance of the proposed method, the results generated by a simple thresholding method were compared. As a result of the experiment, compared to the existing method, the proposed method was able to detect clouds more accurately by considering the radiometric characteristics of each image through the preprocessing process. In addition, the results showed that the influence of bright objects (panel roofs, concrete roads, sand, etc.) other than cloud objects was minimized. The proposed method showed more than 30% improved results(F1-score) compared to the existing method but showed limitations in certain images containing snow.

• Journal of the Korean Society of Costume
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• v.57 no.6 s.115
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• pp.135-144
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• 2007

This study is about the three pieces of jackets with a symmetric collar that was used to fill in the empty spaces in coffin excavated in 2004, from Seok-nam-dong, Nam-gu, Incheon. The similarities of these three jackets are that the collars are symmetric, there are seops(the outer bodies to overlap the front sides of a jacket) with pleats, and openings on the side seam. The No.2, and No.6 seem to be jegori to wear over others, and the fabrics used for No.2 is damask with cloud pattern, and damask with lotus flower pattern. For the No.4, satin was used and there is peacock pattern weaved on satin using golden thread. No.41 is unlined clothes made with Suk-cho, and the distinctive feature about this clothes is that the collar, and the neckline are very narrow. The three jackets are similar with the recently reported clothes of Kim clan of Gang-leung (deducted to be buried in 1520), the collection of Seok Joo-sun Memorial Museum. Through this report, it provides information about some aspects of upper class women's clothes.

• Journal of Information Processing Systems
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• v.5 no.3
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• pp.159-166
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• 2009

As shown in Wikipedia, tagging or cross-linking through major keywords in a document collection improves not only the readability of documents but also responsive and adaptive navigation among related documents. In recent years, the Semantic Web has increased the importance of social tagging as a key feature of the Web 2.0 and, as its crucial phenotype, Tag Cloud has emerged to the public. In this paper we provide an efficient method of automated in-text keyword tagging based on large-scale controlled term collection or keyword dictionary, where the computational complexity of O(mN) - if a pattern matching algorithm is used - can be reduced to O(mlogN) - if an Information Retrieval technique is adopted - while m is the length of target document and N is the total number of candidate terms to be tagged. The result shows that automatic in-text tagging with keywords filtered by Information Retrieval speeds up to about 6 $\sim$ 40 times compared with the fastest pattern matching algorithm.

• Journal of Computing Science and Engineering
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• v.9 no.3
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• pp.155-162
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• 2015

The last decade has seen a rapid growth in the use of mobile devices all over the world. With an increasing use of mobile devices, mobile applications are becoming more diverse and complex, demanding more computational resources. However, mobile devices are typically resource-limited (i.e., a slower-speed CPU, a smaller memory) due to a variety of reasons. Mobile users will be capable of running applications with heavy computation if they can offload some of their computations to other places, such as a desktop or server machines. However, mobile users are typically subject to dynamically changing network environments, particularly, due to user mobility. This makes it hard to choose good offloading decisions in mobile environments. In general, users' mobility can provide some hints for upcoming changes to network environments. Motivated by this, we propose a mobility model of each individual user taking advantage of the regularity of his/her mobility pattern, and develop an offloading decision-making technique based on the mobility model. We evaluate our technique through trace-based simulation with real log data traces from 14 Android users. Our evaluation results show that the proposed technique can help boost the performance of mobile devices in terms of response time and energy consumption, when users are highly mobile.