• Title/Summary/Keyword: Soaring

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Job Roles and Performances of Industry-Academic Cooperation Foundation focused on Technology Commercialization and Startup-supporting Officers (대학 산학협력단의 기술사업화 인적구성과 산학협력 성과)

  • Yim, Euijoo;Kim, Changone;Cho, Keuntae
    • Journal of Technology Innovation
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    • v.21 no.2
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    • pp.115-136
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    • 2013
  • Although the proposition of universities in national R&D has been soaring up recently in Korea, there is gap between the performances and the social expectations. To meet the gap, there are increasing trial to strengthen the role of Industry-Academic Cooperation(IAC) Foundations supporting university-industry collaboration activities. This study focuses on IAC Foundations and attempts to validate the relation between their roles and IAC performances with a regression analysis and futhermore to analyse the effect of the size of full-time-entities(FTEs). This study proposes positive relations between the IAC related performance and the FTEs in technology commercialization in IAC Foundations. Moreover, we identified that two groups-the below- and above-average groups-show different effects of the roles in IAC on the performance and that in the above-average group, the FTEs in technology commercialization are affecting the performance more than below in above-average group. This study suggests that it is important to allocate role more in technology commercialization than in other ones for enhancing the productivity of IAC performances and staffing by job-sector should be different depending on the size of the industry-academic cooperation foundation.

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A Study on Stage Costume of Yean-GaeSoMoon(Korean) in the Peking Opera <> - Focusing on Symbolic Meaning of Stage Costume - (경극(京劇) $\ll$독목관(獨木關)$\gg$의 연개소문(淵蓋蘇文) 무대의상(舞台衣裳) 디자인 연구(硏究) - 무대의상(舞台衣裳)의 상징적(象徵的) 의미(意味)를 중심(中心)으로 -)

  • Shin, Kyeong-Seob;Cho, Kyu-Hwa
    • Journal of Fashion Business
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    • v.2 no.3
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    • pp.121-136
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    • 1998
  • The purpose of this study was to present a new research method of stage costume by designing and making the stage costume of Yean-GaeSoMoon(淵蓋蘇文) in Peking Opera Du Mu Guan (Korean; Dog Mog Guan, 獨木關). The stage costume of Peking Opera was formed on the basis of the Chinese traditional stage costume in the Qing period, however the style of stage costume was beautified the costume of Ming period and here contained the factors of successive costumes. But the stage costume of Peking Opera didn't have the same rank system with real history costume and didn't have demarcation according to period and history. In the stage costume of Peking Opera, the color is cultural language that can inform spectators of sex, age, personality, position of characters. The pattern of decoration also symboled the personality and characteristic of the character. Yean-GaeSoMoon in the play wore green armour (Chinese; ru ying kao 綠硬靠), red pants (Chinese; hong ku 紅褲), red mustache (Chinese; hong ran kou 紅髥口), crown (Chinese; da e zi 大額子), shoes (Chinese; hou di xue 厚底靴) and Xue RenGui wore white armour (Chinese; baikao 白靠), red pants (Chinese; hong ku 紅褲), shoes (Chinese; hou di xue 厚底靴), hat (Chinese; za jin 扎巾). By historical materials, Yean-GaeSoMoon was a nationalist who uphold national sprit and the greatest hero of the age and a charismatic politician who combines literatural arts with military arts. Considering these reviews, defined the thema of his new costumes' image as "the flying bird which has three legs"(三足鳥), the bird which symbolized the sun and immortality in Koguryo fresco. On the basis of this image, presented three types of Yean-GaeSoMoon's stage costume. Yean-GaeSoMoon as the minister in the court wore black gown (Chinese; mang pao 蟒袍) of dargon pattern which symbolizes harisma who opening the heaven. He as the general who directs war wore red mantle (Chinese; dou peng 斗蓬) which symbolizes the blue dragon that soaring into the sky, as the officer who fights the enemy's general wore green armour (Chinese; gai liang jia 改良甲), red pants (Chinese; hong ku 紅褲) which symbolizes the flying Sward that blowing violently. By wearing these stage costumes, the image of Yean-GaeSoMoon could changed from the fierce general of minority race who likes to fight, to the Koguryo general who fights against enemy at the risk of his life for Koguryo's autonomy. Through this study once again we could realized that stage costume played very mportant part In outstnding the characteristic of actor in the Peking Opera.

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An Empirical Study on the Participatory Use of K-Pop Video Contents (케이팝 콘텐츠의 참여적 이용에 관한 연구 : 유튜브 콘텐츠 관계망분석(SNA)을 중심으로)

  • Kim, H. Jin;Ahn, Minho
    • The Journal of the Korea Contents Association
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    • v.19 no.12
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    • pp.28-37
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    • 2019
  • It is apparently clear that K-pop has been expanding its influence overseas, with its high growth rate. As a result, attempts have been made to analyze the characteristics of K-Pop in various academic fields. This research quantitatively used the participatory use process of K-Pop contents in voluntary participation and dissemination of the audience in the Trans-Media environment. The author examined the use of participatory K-Pop contents from the view point of reparability through big data content analysis. It has been revealed that K-Pop is spreading globally through social media, fans of various countries like to play K-Pop, and they make up their own content and form a participatory culture. In addition, we looked at when the moments of momentum in which participatory use is soaring were popular content and who was the publisher.

COVID-19's Impact on the Space Industry and Countermeasures in Korea (코로나19가 한국 우주산업에 미친 영향과 대응방안)

  • Kim, Jong-Bum
    • The Journal of the Convergence on Culture Technology
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    • v.6 no.4
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    • pp.195-201
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    • 2020
  • COVID-19 is hitting the world. In order to bring about new ways of innovation in the space sector, we need to analyze changes in the space sector and design new challenge strategies. COVID-19 exposes inherent vulnerabilities in the space sector. In particular, COVID-19 is causing supply chain shocks in the space industry, resulting in delays in the supply of systems, subsystems and parts due to a complete or partial interruption of a manufacturing unit. As the overall impact of New Normal on the industry is overall, we continue to look at it in the space sector. COVID is causing supply chain shock in the space industry. It causes a delay in the supply of systems, subsystems and parts due to a complete or partial interruption of a manufacturing unit. In the supply of launch services, the launch schedule is being delayed, but the main launch is still taking place. Demand for major applications such as environmental monitoring is soaring in the earth observation utilization sector. Analyzing the impact on manufacturing, the vendor-based contraction is bringing delays in the supply of systems, subsystems and components, and launch service providers are trying to minimize delays in the launch schedule.

Characteristics for the Distribution of Elderly Population by Utilizing the Census Data (센서스 데이터를 활용한 고령인구 분포 특성)

  • Nam, Kwang-Woo;Gwon, Il-Hwa
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.14 no.1
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    • pp.464-469
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    • 2013
  • After city of Busan has been entered to the aging society in 2000, the city has the highest aging rate among 7 representative cities in 2011. Moreover, while entire population and number of average household are decreasing, over 65 years old of elderly population is rapidly increasing. So, it is possible to enter the super-aged society, where aging rate would be about 20% after 2020. The purpose of this study is that older housing-related analysis is consisted of dong-unit, and this led microscopic analysis has become necessary. Surveys from 2000 through 2010, census aggregate (output area) unit of spatial analysis was conducted. Take advantages of this, aging population and area, soaring area, high-density areas, such as the region of interest were primary extracted, and microscopic location and spatial distribution patterns were analyzed. Upon analysis, aging population is concentrated in the city and adjacent area, the highlands, and 10 years of increasing rate was more than 30 times in certain aggregate. Regarding the characteristic of these areas, the original city center, Busan, especially concentrated and intensified in aging population. Also, 2000 to 2010, the overall distribution pattern of Busan has identified aging population that is increasingly being distributed. This is the result, which is confronted with previous research result. Entering a super aged-society for the future is accordance with migration of social costs and improve the quality of life of elderly. And this could be the basic information to use the spatial dimension for the corresponding.

A Study of King Kyung-jong's strange diseases according to Medical records from 『The Daily Records of Royal Secretariat of Chosun Dynasty』 (『승정원일기(承政院日記)』의안(醫案)을 통해 살펴본 경종(景宗)의 기질(奇疾)에 대한 이해)

  • Kim, Dong-Ryul;Kim, Namil;Cha, Wung-Seok
    • The Journal of Korean Medical History
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    • v.26 no.1
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    • pp.41-53
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    • 2013
  • In this paper, King Kyung-Jong's strange diseases which had been exacerbated by the Sinim-Sahwa(辛壬士禍) are researched and discussed. The subject will be described mostly based on health and medical records from "The Daily Records of Royal Secretariat of Chosun Dynasty(承政院日記)" and "The Annals of the Choson Dynasty(朝鮮王朝實錄)". Sinim-Sahwa had occurred for two years. It is thought that the beginning of it was 'a controversy on a proclamation of a crown prince, Yeon Ing Goon'. At the first year of Kyung-Jong's ruling, August 21, the No-Ron demanded a king's heir be decided as soon as possible, the king asked Yeon Ing Goon as his successor because of his 'strange diseases'. In October of the same year, the conflict between No-Ron and So-Ron parties reached its peak after a dispute about 'regency from behind the veil for the crown prince' at that time. Kyung-jong added that he had a mysterious and heavy disease and there was little hope to recover from it. Some opposing courtiers emphasized the king was in his good health and there weren't any actual diseases he suffered. But Kyung-Jong stubbornly persisted the diseases he had were so heavy that he couldn't get well readily. In detail, he announced his disease had so deeply rooted in internal organs that he could feel some kind of heat and fire arousal form his heart, then rage and resent soaring. Eventually, on 16th, the No-Ron party followed the king's demand, thus the king's health and illness condition itself was gradually getting off the subject. It seems that Kyung-jong's strange diseases was hwa-byung(火病). His symtoms are similar to the symtoms of hwa-byung. Environment he lived, was enough to cause hwa-byung. as a result, Sinim-Sahwa was the event what his hwa(火) was erupted.

Behavior of Liquid Nitrogen in the Cryogenic Storage Tank (초저온액화가스 저장탱크 내에서의 액화질소의 거동)

  • Park Byung Whee;Lee Hyun Chul;Park Doo Seon;Son Moo Ryong
    • Journal of the Korean Institute of Gas
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    • v.2 no.3
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    • pp.37-48
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    • 1998
  • A cryogenic liquid stored in the closed cryogenic tank has been studied at various liquid levels. The change of pressure, temperature, and liquid-vapor ratio in the tank depended on the liquid levels. The various phenomena were shown at different liquid levels as follows: (1) liquid level was increased with condensation of vapor: (2) liquid was vaporized in spite of liquid level going up for a certain initial period and then condensation of vapor occurred at higher pressure; (3) liquid was vaporized without liquid level change; (4) liquid was vaporized with liquid level decreasing. If the tank is full with cryogenic liquid, it is extremely dangerous because of soaring the pressure. Therefore the tank must be filled with $90\%$ liquid according to the safety rules. If the tank was filled with $0\%$ ullage, the pressure increment as high as 80bar during first 5 days. With $90\%$ liquid level, however, the pressure was increased as low as 1.5bar in the same period. No matter what the liquid level is, it is very dangerous if the tank is locked-up with filled cryogenic liquid for a long time.

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Recent Advances in the Biotechnological Production of Natural Vanillin (생물공학에 기반한 천연 바닐린 생산에 관한 최근 연구)

  • Kim, Hyun-Song;Kim, Young-Ok;Lee, Jin-Ho
    • Journal of Life Science
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    • v.31 no.11
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    • pp.1046-1055
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    • 2021
  • Vanillin is the primary flavor and fragrance compound of natural vanilla and is extensively used in the food, beverage, perfumery, pharmaceutical industries, and other applications. Vanillin can be produced by chemical synthesis, extraction from vanilla plants, microbial bioconversion of natural precursors to vanillin, and direct fermentation using glucose. Currently, most commercially available vanillin is produced by extraction from cured vanilla pods and by chemical synthesis using guaiacol and glyoxylic acid as starting raw materials. Due to environmental issues, health complaints, preference for natural sources, and the limited supply and soaring price of natural vanilla, biotechnology-based vanillin production is regarded as a promising alternative. As many microorganisms that are able to metabolize several natural precursors, including ferulic acid, eugenol, isoeugenol, and lignin, and accumulate vanillin, have been screened and evaluated, myriad strategies and efforts have been employed for the development of commercially viable production technology. This review outlines the recent advances in the biotechnological production of natural vanillin with the use of these natural precursors. Moreover, it highlights the recent engineering approaches for the production of natural vanillin from renewable carbon sources based on the de novo biosynthetic pathway of vanillin from glucose, together with appropriate solution strategies to overcome the challenges posed to increase production titers.

A Study on the Optimal Location Selection for Hydrogen Refueling Stations on a Highway using Machine Learning (머신러닝 기반 고속도로 내 수소충전소 최적입지 선정 연구)

  • Jo, Jae-Hyeok;Kim, Sungsu
    • Journal of Cadastre & Land InformatiX
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    • v.51 no.2
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    • pp.83-106
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    • 2021
  • Interests in clean fuels have been soaring because of environmental problems such as air pollution and global warming. Unlike fossil fuels, hydrogen obtains public attention as a eco-friendly energy source because it releases only water when burned. Various policy efforts have been made to establish a hydrogen based transportation network. The station that supplies hydrogen to hydrogen-powered trucks is essential for building the hydrogen based logistics system. Thus, determining the optimal location of refueling stations is an important topic in the network. Although previous studies have mostly applied optimization based methodologies, this paper adopts machine learning to review spatial attributes of candidate locations in selecting the optimal position of the refueling stations. Machine learning shows outstanding performance in various fields. However, it has not yet applied to an optimal location selection problem of hydrogen refueling stations. Therefore, several machine learning models are applied and compared in performance by setting variables relevant to the location of highway rest areas and random points on a highway. The results show that Random Forest model is superior in terms of F1-score. We believe that this work can be a starting point to utilize machine learning based methods as the preliminary review for the optimal sites of the stations before the optimization applies.

Effective Capacity Planning of Capital Market IT System: Reflecting Sentiment Index (자본시장 IT시스템 효율적 용량계획 모델: 심리지수 활용을 중심으로)

  • Lee, Kukhyung;Kim, Miyea;Park, Jaeyoung;Kim, Beomsoo
    • Knowledge Management Research
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    • v.23 no.1
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    • pp.89-109
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    • 2022
  • Due to COVID-19 and soaring participation of individual investors, large-scale transactions exceeding system capacity limits have been reported frequently in the capital market. The capital market IT systems, which the impact of system failure is very critical, have encountered unexpectedly tremendous transactions in 2020, resulting in a sharp increase in system failures. Despite the fact that many companies maintained large-scale system capacity planning policies, recent transaction influx suggests that a new approach to capacity planning is required. Therefore, this study developed capital market IT system capacity planning models using machine learning techniques and analyzed those performances. In addition, the performance of the best proposed model was improved by using sentiment index that can promptly reflect the behavior of investors. The model uses empirical data including the COVID-19 period, and has high performance and stability that can be used in practice. In practical significance, this study maximizes the cost-efficiency of a company, but also presents optimal parameters in consideration of the practical constraints involved in changing the system. Additionally, by proving that the sentiment index can be used as a major variable in system capacity planning, it shows that the sentiment index can be actively used for various other forecasting demands.