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변유량,최홍식,조형용,권윤중,김주봉 연세대학교 산업기술연구소 1984 논문집 Vol.16 No.1
The vertical column batch dryer which is suitable to Korean farm was constructed and dryer performance was investigated through field test. The effect of a drying air temperature and an airflow rate on the drying rate was studied, and an empirical drying equation was established. The average drying rate of paddy were 1.6-1.8%/hr at the air temperature of 43℃ and the airflow rates of 19.4 - 24.5 CFM/ft². The differences of grain moisture content between the inner and outer layer of vertical paddy bed were 0.5 - 0.9% The effect of a drying air temperature was larger at high airflow rate. At constant temperature, the drying rate was increased as an airflow rate was increased. The empirical drying equation could be expressed as followed: ??=0.9exp(??) Where K=3.22×?? The average whitening ratio of brown rice which was dried with column batch dryer was higher 0.6% than that of sun dried rice.
Time Series Classification of Cryptocurrency Price Trend Based on a Recurrent LSTM Neural Network
Kwon, Do-Hyung,Kim, Ju-Bong,Heo, Ju-Sung,Kim, Chan-Myung,Han, Youn-Hee Korea Information Processing Society 2019 Journal of information processing systems Vol.15 No.3
In this study, we applied the long short-term memory (LSTM) model to classify the cryptocurrency price time series. We collected historic cryptocurrency price time series data and preprocessed them in order to make them clean for use as train and target data. After such preprocessing, the price time series data were systematically encoded into the three-dimensional price tensor representing the past price changes of cryptocurrencies. We also presented our LSTM model structure as well as how to use such price tensor as input data of the LSTM model. In particular, a grid search-based k-fold cross-validation technique was applied to find the most suitable LSTM model parameters. Lastly, through the comparison of the f1-score values, our study showed that the LSTM model outperforms the gradient boosting model, a general machine learning model known to have relatively good prediction performance, for the time series classification of the cryptocurrency price trend. With the LSTM model, we got a performance improvement of about 7% compared to using the GB model.
Time Series Classification of Cryptocurrency Price Trend Based on a Recurrent LSTM Neural Network
( Do-hyung Kwon ),( Ju-bong Kim ),( Ju-sung Heo ),( Chan-myung Kim ),( Youn-hee Han ) 한국정보처리학회 2019 Journal of information processing systems Vol.15 No.3
In this study, we applied the long short-term memory (LSTM) model to classify the cryptocurrency price time series. We collected historic cryptocurrency price time series data and preprocessed them in order to make them clean for use as train and target data. After such preprocessing, the price time series data were systematically encoded into the three-dimensional price tensor representing the past price changes of cryptocurrencies. We also presented our LSTM model structure as well as how to use such price tensor as input data of the LSTM model. In particular, a grid search-based k-fold cross-validation technique was applied to find the most suitable LSTM model parameters. Lastly, through the comparison of the f1-score values, our study showed that the LSTM model outperforms the gradient boosting model, a general machine learning model known to have relatively good prediction performance, for the time series classification of the cryptocurrency price trend. With the LSTM model, we got a performance improvement of about 7% compared to using the GB model.
BRAF(V600E) 돌연변이 갑상선 역형성암에서 BRAF(V600E) 억제에 의한 EGFR 발현 증가가 표적치료에 대한 저항성발현과 상피-간질세포이행과정에 미치는 영향분석
변형권(Hyung Kwon Byeon),나휘정(Hwi Jung Na),양연주(Yeon Ju Yang),박재홍(Jae Hong Park),권형주(Hyeong Ju Kwon),장재원(Jae Won Chang),반명진(Myung Jin Ban),김원식(Won Shik Kim),신동엽(Dong Yeob Shin),이은직(Eun Jig Lee),고윤우(Yoon Wo 대한두경부종양학회 2014 대한두경부 종양학회지 Vol.30 No.2
Background and Objectives:Anaplastic thyroid carcinoma(ATC) is a rare but highly aggressive thyroid ma-lignancy that is associated with an extremely poor survival despite the best multidisciplinary care. BRAF(V600E) mutation is detected in about a quarter of ATC, but unlike its high treatment response to selective BRAF inhibitor (PLX4032) in metastatic melanoma, the treatment response of ATC is reported to be low. The purpose of this study is to investigate the innate resistance mechanism responsible for this low treatment response to BRAF inhibitor and its effect on epithelial-mesenchymal transition(EMT). Materials and Methods:Two ATP cell lines, 8505C and FRO were selected and treated with PLX4032 and its drug sensitivity and effects on cell migration and EMT were examined and compared. Further investigation on the changes in signals responsible for the different treatment response to PLX4032 was carried out and the same ex-periment was performed on both orthotopic and ectopic xenograft mouse models. Results:FRO cell line was more sensitive to PLX4032 treatment compared to 8505C cell line. The resistance to BRAF inhibition in 8505C was due to increased expression of EGFR. Effective inhibition of both EGFR and p-AKT was achieved after dual treatment with BRAF inhibitor(PLX4032) and EGFR inhibitor(Erlotinib). Similar results were confirmed on in vivo study. Conclusion:EGFR-mediated reactivation of the PI3K/AKT pathway and MAPK pathway contributes to the relative insensitivity of BRAF(V600E) mutant ATC cells to PLX4032. Dual inhibition of BRAF and EGFR leads to sustained treatment response including cell invasiveness.
중학교 체육교사와 스포츠강사의 조직동일시, 직무몰입, 그리고 이직의도의 관계
권형일 ( Hyung Il Kwon ),김은혜 ( Eun Hye Kim ),이지원 ( Ji Won Lee ),강인석 ( In Suk Kang ),고수진 ( Su Jin Ko ),김아형 ( A Hyung Kim ),송주은 ( Ju Eun Song ),유효석 ( Hyo Suk You ) 중앙대학교 학교체육연구소 2013 Asian Journal of Physical Education of Sport Scien Vol.1 No.-
본 연구는 정규직인 체육교사들과 비정규직인 스포츠강사의 직무몰입과 이에 관련된 변인들의 집단차이에 대한 경험적인 규명을 하는데 목적이 있다. 이를 위해 비확률표집(non probability sampling)을 사용하여 총 129명의 체육교사와 스포츠강사가 설문에 참가하였다. 응답자 중 남자는 101명 여자는 28명이었다. 가설 검증을 위해 변인들의 집단 차를 보는 가설 1, 2, 3은 one-way MANOVA를 통해 검증하였고, 조직몰입의 매개효과를 검증하는 가설 4는 다중회귀분석이 사용되었다. 가설 검증 결과, 직무몰입은 체육교사들이 스포츠강사들보다 높은 평균값을 나타냈으며, 이직의도는 스포츠강사들이 체육교사들보다 높은 평균값을 나타내었다. 그러나, 체육교사들과 스포츠강사들의 조직동일시의 차이는 나타나지 않아 가설 1은 지지되지 않았다. The purpose of the study is two-fold. First, this study attempted to examine possible group differences between PE teachers and sport instructors in terms of organizational identification, job commitment, and turnover intention. Second, this study examined mediating effect of job commitment in the relationship between organizational identification and turnover intention using Baron and Kenny’s (1986) method. The data were collected from 129 (men = 101; women = 28) PE teachers and instructors. The sample of the study was drawn by convenience sampling. Using convenience sampling, 74 PE teachers and 55 instructors were secured. The data were collected using a questionnaire that included three scales that measured organizational identification, job commitment, turnover intention. In addition, several demographic questions were included. The six items of organizational identification were adapted from Mael and Ashforth (1992). The Cronbach’s alpha of the scale was .90, which indicated a good internal consistency. The job commitment was measured with Meyer, Allen, and Smith’s (1993) six items (Cronbach’s alpha = .86). The turnover intention was measured with three items of Yoo (2011). The internal consistency of the items was .90. The research hypotheses (H1, H2, and H3) were tested using one-way MANOVA. To test mediating effect of organizational commitment, multiple regression analyses were utilized. Normality of the data was examined using skewness (-.59 and -1.79) and kurtosis (-.59 and -2.34). In addition, the assumption of using MANOVA was examined using Box’s M test (p = .11). The results of MANOVA indicated that there was statistically significant group difference (Wilk’s Lamda = .82, p < .001. ηp2=.18, power=.99). Follow up univariate analyses indicated that PE teachers scored higher on job commitment(p<.001) and instructors group scored higher on turn over intention(p<.001). The groups were in variant in terms of organizational identification(p=.08). There search hypothesis 4 was tested using Baron and Kenny’s(1986) method. The direct relationship between organizational identification and turn over intention was insignificant(β = .07, p < .44). However, the path between organizational identification and job commitment (β = .42, p < .001) and the path between job commitment and turnover intention (β = =-.47, p < .001) were statistically significant. The denoted that job commitment mediated the relationship between organizational identification and turnover intention. The Sobel test statistic was -.268 (p = .004).
Plant Growth-promoting Activity of Acremonium strictum MJN1 Isolated from Roots of Panax ginseng
Lim, Hyung-Bum,Chung, Yang-Jo,Bae, Ju-Yun,Kim, Dong-Jin,Kwon, Hyung-Jin,Lee, In Hyung,Chung, Byung-Chul,Lee, Woong-Sang,Suh, Joo-Won 한국응용생명화학회 2000 Journal of Applied Biological Chemistry (J. Appl. Vol.43 No.2
The plant growth-promoting activity of Acremonium strictum MJN1 isolated from roots of Panox ginseng was explored. The myceliaI extract of A. strictum MJN1 enhanced the rice seedling growth by 14.5 and 9.0% in the dried weight of shoots and roots, and the growth of red pepper by 54 and 85% in the top length and the dried weight in pot experiments, respectively. The plant growth-promoting substances in the myceliaI extract of Acremonium strictum MJN1 were identified as D-adenosine and glycerol. Both commercial D-adenosine and glycerol also promoted significantly the rice seedling growth but, unlike the mycelial extract of A. strictum MJN1, hardly affected the yields of plants grown in pots or field. Therefore, it is possible that other plant growth-promoting substances are produced by A. strictum MJN1. However, this study shows that A. strictum MJN1 has a great potential as a biofertilizer.