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RISS 인기검색어
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- 저자 : 이선구(Lee, Sun-Goo) (검색결과 235 건)
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황선구(Seon Gu Hwang),양안나(Anna Yang),김수정(Soo Jung Kim),김민기(Min Kee Kim),김성수(Sung Soo Kim),오현정(Hyun Jung Oh),이정대(Jung Dae Lee),이은주(Eun Ju Lee),남궁우(Kung-Woo Nam),한만덕(Man-Deuk Han) 한국생명과학회 2014 생명과학회지 Vol.24 No.5
HAase는 신체의 연골, 피부, 눈의 초자체 등에 포함된 고분자 다당류의 HA를 분해하는 효소로서 상처나 염증질환 시 활성화되어 염증, 알레르기 유발과 관련된 효소이다. 본 연구는 500종 식물에서 각 종당 한 식물체로부터 한 천연물의 메탄올 추출물(500추출물)을 이용하여 생물학적으로 기능이 다양하고 산업적으로 활용 가능성이 많은 HAase 저해제를 검색하였다. 그 결과 HAase 저해효과가 가장 우수한 천연물 추출물은 때죽나무 줄기 추출물 57.28%, 매화말발도리 줄기 추출물 53.50%의 저해효과를 나타내었다. 이 같은 추출물들의 농도 별 저해효과를 확인한 결과 농도 의존적으로 저해율이 증가하였다. 이 같은 결과로 볼 때 때죽나무, 매화말발도리 추출물은 HAase 효소의 저해효과가 우수하여 향후 HA 분해와 관련된 항염증 및 항 알레르기 연구에 이용될 수 있다. Mammalian hyaluronidases (HAase, EC 3.2.1.35) are a family of enzymes that hydrolyse N-acetyl-Dglucosamine (1-4) glycosidic bonds in hyaluronic acid, which is found in skin, cartilage, and the vitreous body. Although HAase is generally present in an inactive form within subcellular lysosomes, it is released in an active form in some types of inflammation and tissue injuries, thereby contributing to the inflammatory response. The HAase inhibitory activity of 500 methanolic extracts of 500 species from medicinal plants was screened using a Morgan microplate assay. The viscosity of the hyaluronic acid was measured with an Ubbelohde viscometer. Three MeOH extracts inhibited more than 50% of HAase activity at a concentration of 2 mg/ml. HAase inhibitory rates (%) of three species of medicinal plant extracts, Styrax japonica, Deutzia coreana, and Osmanthus insularis were 57.28%, 53.50%, and 53.19%, respectively. The rate of HAase inhibition of the extracts was dose dependent. In the HAase inhibitory assay using the Ubbelohde viscometer, the results were in good agreement with the results from the Morgan assay. The results suggest that HAase inhibitory compounds extracted from the stem of S. japonica, D. coreana, and O. insularis might be multifunctional and prevent the degradation of hyaluronic acid and the induction of allergic reactions and inflammation.
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Absolute Radiometric Calibration을 위한 Field Campaign과 시험결과
이선구(Sun-Gu Lee),김용승(Yong-seung Kim) 한국항공우주연구원 2006 항공우주기술 Vol.5 No.2
한국항공우주연구원에서는 2006년 발사될 다목적실용위성 2호의 절대복사보정(absolute radiometric calibration)을 위한 준비로, Orbview-3 위성의 통과시간에 맞추어 2004년 11월 4일과 2005년 3월 7일에 고홍과 대전에서 Field campaign을 수행하였다. 절대복사보정은 vicarious calibration 방법 중 targets의 반사 특성을 이용하는 방법으로, Field campaign을 통해 수집된 지표자료와 대기자료들을 이용하여 top-of -radiance(TOA)를 추출하였다. 대기 복사모델로는 MODTRAN 4.0이 사용되었으며, 추출된 TOA radiance와 Orbview-3 Panchromatic DN과 비교를 하여 절대복사보정을 위한 offset과 gain계수를 계산하였다. 또한 본 연구에서는 Field Campaign으로부터 축적된 경험을 이용하여 다목적실용위성 2호의 절대복사보정에 적용할 방법을 제안하였다. Korea Aerospace Research Institute(KARI) performed field campaigns for absolute radiometric calibration with overpassing of satellite Orbview-3 on Cal/Val site in Goheung and Daejeon. The performed Cal/Val method is the reflectance-based of vicarious calibration methods. We collected ground-based and meteology data such as temperature, surface pressure and reflectance of targets, and radiosonde data only collected on Goheung. Data collected on each field served as input to radiative transfer codes to generate a top-of-atmosphere(TOA) radiance. Derived TOA is compared with DN of overpassing satellite Orbview-3 to calculate calibration coefficient of gain and offset. Also, This study proposed a proper method to prepare absolute radiometic calibration of KOMPSAT-2 by using experience of Field campaign.
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아로니아를 첨가한 고기능성 스펠트 밀가루 식빵의 기호도 분석
이선구(Seon-gu Lee) 한국조리학회 2017 한국조리학회지 Vol.23 No.2
아로니아는 항산화 성분을 풍부하게 함유하고 있는 슈퍼베리로서 그 영양학적 가치로 인해 많은 관심과 연구가 이루어지고 있다. 본 연구에서는 스펠트 밀가루에 아로니아를 첨가하여 나타나는 가공적성을 pH와 발효팽창율을 중심으로 측정하였으며, 일반인을 대상으로 아로니아 첨가에 따른 기호도를 조사하였다. 산도측정 결과, 아로니아 첨가량이 증가함에 따라 pH 값이 낮아지는 경향이 나타났다. 발효팽창률에 있어서 아로니아를 첨가한 반죽의 부피는 아로니아를 첨가하지 않은 경우보다 약간 작은 것으로 측정되었다. 아로니아를 첨가한 빵의 기호도 조사 결과, 아로니아가 3% 첨가되었을 때는 맛에서 가장 많은 기호도가 나타났다. 색깔과 향기 그리고 전반적 호감도에서는 아로니아가 6% 첨가되었을 때 가장 많은 기호도가 나타났다. 이러한 결과를 토대로 스펠트 밀가루 식빵에 대한 아로니아 성분의 적정 배합비율은 6%로 선정되었다. Aronia is a superberry that contains antioxidants. Due to its nutritional value, it has received much attention and has been widely researched. In this study, the proportion of aronia powder applied to spelt wheat flour was measured with the pH ratio of the additive and respondents’ preference was examined for the preferred addition to the additive population. As a result of the acidity measurement, the pH value tended to decrease as the amount of aronia powder was increased. As for the fermentation expansion rate, the volume of the dough added with aronia powder was measured to be slightly smaller than that without addition of aronia powder. Preference of breads with aronia powder added showed higher preference when 6% was added compared to when 3% of aronia powder was added. As a result of preference survey of breads containing aronia powder, the most preference was given to taste when 3% of aronia powder was added. Color, fragrance, and overall acceptance were the most preferred when 6% of aronia powder was added. Based on these results, the optimal mixing ratio of aronia powder to spelt flour bread was selected to be 6% of aronia powder.
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이선구 ( Lee Seon-ku ),유선종 ( Yoo Seon-jong ) 한국부동산분석학회 2024 부동산학연구 Vol.30 No.2
This study explores the stock price prediction of a real estate fractional income security platform. With the rapid growth of the security token offering (STO) industry, the Financial Services Commission has announced plans to overhaul the regulation of token securities. Nevertheless, there is a relative lack of stock price prediction research in this field. In this study, we designed and validated a stock price prediction model using LSTM (Long Short-Term Memory) deep learning algorithm, focusing on ‘Seocho GWELL Tower’ and ‘Yeouido ExconVenture Tower’ in Seoul. The study period for Seocho GWELL Tower was from July 27, 2021 to July 31, 2023, and the study period for Yeouido ExconVenture Tower was from March 15, 2022 to October 31, 2023, and the model was trained by including external macroeconomic indicators along with key trading indicators during this period. The trained model showed high prediction accuracy on both training and test data. As a result, the model utilizing LSTM showed high prediction accuracy, which confirms the effectiveness of deep learning algorithms in predicting stock prices of real estate fractional investment platforms.
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엔터티 검색의 정확성을 높이기 위한 검색 키워드 마이닝
이선구 ( Lee Sun Ku ),온병원 ( On Byung-won ),정수목 ( Jung Soo-mok ) 한국정보처리학회 2016 정보처리학회 논문지 Vol.5 No.9
Nowadays, entity search such as Google Product Search and Yahoo Pipes has been in the spotlight. The entity search engines have been used to retrieve web pages relevant with a particular entity. However, if an entity (e.g., Chinatown movie) has various meanings (e.g., Chinatown movies, Chinatown restaurants, and Incheon Chinatown), then the accuracy of the search result will be decreased significantly. To address this problem, in this article, we propose a novel method that quantifies the importance of search queries and then offers the best query for the entity search, based on Frequent Pattern (FP)-Tree, considering the correlation between the entity relevance and the frequency of web pages. According to the experimental results presented in this paper, the proposed method (59% in the average precision) improved the accuracy five times, compared to the traditional query terms (less than 10% in the average precision).
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