http://chineseinput.net/에서 pinyin(병음)방식으로 중국어를 변환할 수 있습니다.
변환된 중국어를 복사하여 사용하시면 됩니다.
Development of Datamining Engine for Customer Pattern Analysis in Mobile Computing
Ah-Reum Noh,Hyo-Won Noh,Nam-Ho Kim 한국멀티미디어학회 2006 한국멀티미디어학회 국제학술대회 Vol.2006 No.-
The purpose of this paper is to suggest a new marketing method in the electronic commerce such as internet shopping, which is more complicated due to the growth of the scale of markets and the enlargement of customers' choice. Our study focused on how to provide more efficient selection to customer on growing markets than other competitive services does. We are suggesting the new engine, mCRM, that uses datamining technique and analyze customers' purchase pattern through association rule, sequential pattern and collaborative filtering. It helps to motivate the potential customers, obtain new customers and promote purchase. Such functions will lead to high profit and increase persistent relations with customers.
Effect of genetic background differences between FVB and C57BL/6 mice in SARS-CoV-2 infection
Ah-Reum Kang,Hyun Ah Noh,Jae Hyung Son,Sun-Min Seo,Ji-Hun Lee,Na-Won Kim,Eun-Seon Yoo,Han-Bi Jeong,Da In On,Ji Yun Jang,Jun-Won Yun,Jun Won Park,Kang-Seuk Choi,Ho-Young Lee,Jun-Young Seo,Ki Taek Nam,J 한국실험동물학회 2022 한국실험동물학회 학술발표대회 논문집 Vol.2022 No.7
Phytochemical Constituents from Salvia plebeia
Ah-Reum Han,Chao Hui Duan,Jung Noh Lee,Kwang Sik Lee,홍진태,Kun Kook Lee 한국생약학회 2010 Natural Product Sciences Vol.16 No.4
Phytochemical investigation of Salvia plebeia resulted in the isolation of nine compounds. Their structures were determined to be 6-methoxynaringenin (1), 6-methoxynaringenin-7-O-b-D-glucoside (2), hispidulin (3), homoplantaginin (4), nepetin (5), nepitrin (6), 6-hydroxyluteolin (7), caffeic acid (8) and rosmarinic acid (9) by spectroscopic analyses. 6-Methoxynaringenin (1), 6-hydroxyluteolin (7) and rosmarinic acid (9) were isolated from this plant for the first time.
김해림(Haelim Kim),전용호(Yongho Jeon),박재형(Jaehyung Park),윤한삼(Hansam Yoon) 한국해양환경·에너지학회 2021 한국해양환경·에너지학회 학술대회논문집 Vol.2021 No.5
본 연구에서는 임의의 관측지에서의 조위를 예측하기 위하여 인근 조위 관측소의 조위 관측자료를 입력으로 하는 딥러닝 모델을 제시한다. 시계열 데이터 예측에 뛰어나다고 알려져 있는 순환신경망(RNN, Recurrent Neural Network) 모델을 사용하였으며, 모델의 훈련 및 검증을 위하여 울산 조위관측소와 부산 조위관측소의 조위 데이터를 이용하였다. 조위 예측의 정확도를 평가하기 위하여 평균 제곱급 오차(RMSE, Root Mean Square Error) 및 상관계수(CC, Correlation Coefficient)를 계산한 결과, 각각 5cm, 0.95로 높은 정확도가 나타났다. 또한 예측된 데이터를 조화 분해하여 실제 조위 데이터의 결과와 비교하였을 때 4대 분조 모두에서 진폭 정확도 95% 이상, 위상차 4° 이하가 나타났다. In this research, tidal level of an arbitrary station is predicted by using a deep learning model. RNN (Recurrent Neural Network) model is used and tidal level data of Ulsan tide station and Busan tide station is used for model training and validation. To evaluate the model performance, accuracy of the developed model is discussed in terms of root mean square error (RMSE) and correlation coefficient (CC) of the predicted tidal level. The results indicated that the model had a high accuracy. Also, harmonic analysis is conducted to compare similarities with observed data. As a result, accuracy of the amplitude was more than 95% and the phase difference was less than 4° in all four largeness tide value.
이아름(Ah Reum Lee),권오준(O Jun Kwon),노정숙(Jeong Sook Noh),노성수(Seong-Soo Roh) 한국식품과학회 2016 한국식품과학회지 Vol.48 No.6
본 연구는 증숙 횟수에 따른 천마 추출물의 경구 투여가 산화방지 효과를 통한 위 점막 손상 억제에 미치는 효과를 평가하는 실험이다. 증숙 횟수를 달리한 천마 추출물을 준비하여 DPPH, ABTS 라디칼 소거능, total phenol, flavonoid, gastrodin, gastrodigenin 성분 분석 결과, 1회 증숙 천마와 9회 증숙 천마 추출물간의 급성 위염 개선 효능 평가가 가능할 것으로 판단되었다. HCl/ethanol로 유발된 급성 위염 동물 모델에 GE1과 GE9 (100 mg/kg body weight)과 sucralfate (10 mg/kg body weight)를 HCl/ethanol 처리 전 경구 투여하였다. 그리고 이를 정상군과 대조군과 비교분석하였다. 급성 위염 개선 효능 실험에서 증숙 천마 추출물의 섭취는 HCl/ethanol로 유발된 위 점막 손상 마우스에서 위 조직의 육안적 손상을 감소시켰다. 9회 증숙 천마 추출물의 섭취는 위 점막 손상마우스에서 혈청의 ROS와 조직의 ONOO−를 감소시켰고, 위 조직에서 염증성 매개인자인 TNF-α 또한 감소시켰다. 결론적으로 9회 증숙한 천마의 경구투여는 1회 증숙한 천마에 비하여 효과적으로 위 점막 손상을 억제하였다. 따라서 9회 증숙 천마 추출물의 투여가 급성 위염 유발 마우스 모델에서 위 점막 손상 억제에 효과가 있다고 사료된다. This study aimed to explore the protective effect of Gastrodia elata (GE) in an HCl/ethanol induced acute gastritis model by differing the steaming time. The samples GE1 (GE by steaming for 1 time) and GE9 (GE by steaming for 9 times), were selected based on the results of HPLC analysis, free radical scavenging activities, and total phenol and flavonoid contents. To evaluate the anti-inflammatory effect of GE, ICR mice were divided into 5 groups; normal mice(Nor), gastritic mice with distilled water (Con), gastritic mice with 100 mg/kg GE1, gastritic mice with 100 mg/kg GE9 and gastritic mice with 10 mg/kg sucralfate (SC). HCl/ethanol-induced gastric mucosal injury was markedly improved by GE9 treatment as observed during histological evaluation. The increased reactive oxygen species levels in the serum were diminished by GE9 treatment. Furthermore, peroxynitrite levels of the stomach tissue were decreased in the GE9-treated group. The analyses of stomach proteins indicated that GE9 treatment effectively reduced inflammatory cytokine levels as compared to that by GE1 treatment. These results suggest that GE9 improves health during acute gastritis.
Estimating the Soil Carbon Stocks for a Pinus densiflora Forest Using the Soil Carbon Model, Yasso
Lee, Ah-Reum,Noh, Nam-Jin,Cho, Yong-Sung,Lee, Woo-Kyun,Son, Yo-Whan The Ecological Society of Korea 2009 Journal of Ecology and Environment Vol.32 No.1
The soil carbon stock for a Pinus densiflora forest at Gwangneung, central Korea was estimated using the soil carbon model, Yasso. The soil carbon stock measured in the forest was 43.73 t C $ha^{-1}$, and the simulated initial (steady state) soil carbon stock and the simulated current soil carbon stock in 2007 were 39.19 t C $ha^{-1}$ and 38.90 t C $ha^{-1}$, respectively. Under the assumption of a $0.1^{\circ}C$ increase in mean annual temperature per year, the decomposition and litter fractionation rates increased from 0.28 to 0.56 % $year^{-1}$ and the soil carbon stock decreased from 0.03 to 0.12 % $year^{-1}$. Yasso is a simple and general model that can be applied in cases where there is insufficient input information. However, in order to obtain more accurate estimates in Korea, parameters need to be recalibrated under Korean climatic and vegetation conditions. In addition, the Yasso model needs to be linked to other models to generate better litter input data.
반복되는 불일치 상황에서 상황 제시 방법에 따라 초등학생들이 예상을 바꾸는 특성
전아름 ( Jeon Ah Reum ),노석구 ( Suk Goo Noh ),박재근 ( Jae Keun Park ) 한국초등과학교육학회 2012 초등과학교육 Vol.31 No.3
The purpose of this study was to analyze the characteristics of elementary school students` prediction changes by the suggestion types in a multiple anomalous situation. We investigated the responses, the rate and time of changing prediction, and cognitive conflicts of the students when repeated anomalous situation was suggested in experimental or logical way in science classes focused on buoyancy. As the anomalous situation was repeated, the students to change the prediction increased in number and also the rates to choose the correct prediction became higher. The group who was exposed in experimental way changed their prediction more than in logical way. In addition, when we classified the students to change the prediction by types, the group in experimental way showed higher rate of NM, MM type and FFT type. With anomalous situation repeated, cognitive conflicts of the students has been gradually declining in both groups. But it seemed that the group in experimental way experienced higher mental conflicts. In particular, as students changed the prediction more and arrived at the correct answer after changing their prediction, all the more so. It is concluded that the degree of students`` changing prediction and experiencing cognitive conflict can be different according to the suggestion types for situation. Therefore the correlation with cognitive conflict factors can be also observed with the types of students`` reactions.