• 품질경영학회지
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• 제43권4호
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• pp.533-544
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• 2015

Purpose: The purpose of this study is to analyze the cost efficiency of food industry in JeollaNamdo. And this study is focused on the correlation between the economic efficiency of food industry and its cost efficiency, based on the analysis of 372 food companies' data in JeollaNamdo in 2012. Methods: DEA cost minimization is the measurement of the cost efficiency of JeollaNamdo food industry in 2012. In this study, the CCR and BBC models have been employed to analyze the decomposing cost efficiency-technical efficiency, allocative efficiency, and scale efficiency respectively. And the Spearman rank correlation and Wilcoxon signed rank test also have been employed to check the correlation and difference between the ranking orders based on the efficiency scores respectively. Results: For the CCR model, mean cost efficiency was found to be 0.084(0.54 for allocative efficiency and 0.19 for technical efficiency). For the BCC model, mean cost efficiency was found to be 0.252(0.453 for allocative efficiency and 0.564 for technical efficiency). Average scale efficiency was found to be 0.38. In analyzing the results, this study argues that the optimal way to improve cost efficiency is by reducing inputs proportionally and changing their combination. Conclusion: The efficiency scores of the two models show high correlation, whereas, the differences between them are also found to be significant. Hence, it should be cautious to select a suitable model when we do the research.

• 한국도서관정보학회지
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• 제24권
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• pp.1-44
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• 1996

This study is to analyze correlations between 10 factors related to university libraries and the number of professional staff, nonprofessional staff, and total library staff of university libraries in Korea and United States of America. The results of this study are summarized as follows: 1. In the case of Korea, there are high positive correlations between the number of total library staff and 7 of 10 variables (coefficient : 0.76-0.99) ; between the number of professional staff and 7 of 10 variables, same as the above (coefficient : 0.76-0.99) ; between the number of nonprofessional staff and 4 of 10 variables (coefficient 0.73-0.93). In the case of America, there are high positive correlations between the number of total library staff and 6 of 10 variables (coefficient : 0.74-0.97) ; between the number of professional staff and 5 of 10 variables (coefficient : 0.78-0.87): between the number of nonprofessional staff and 6 of 10 variables (coefficient : 0.73-0., 96). 2. All the. rank orders of correlation coefficients of two countries show little significant difference, by the results of the Spearman's Rank Order Correlation analysis (coefficient : total staff, 0.9152: professional staff, 0.8667 ; nonprofessional staff, 0.9030) 3. In the case of Korea, among the above factors, correlations of the total university expenditure and the library expenditure show a significant difference more than ones of the other factors. On the other hand, in the case of American professional staff, the correlations of the library expenditure, the library materials expenditure and the volumes in library show a significant difference more than ones of the other factors, while in the case of American nonprofessional staff, only the library expenditure shows a significant difference more than the others. 4. In the results of the correlation analysis between the professional staff and nonprofessional staff in Korea, the number of graduate enrollments, volumes in library, library expenditure and total university expenditure show higher positive correlation to the professional staff than the nonprofessional staff. However, in the case of America, the library expenditure and the library materials expenditure show higher positive correlation to the nonprofessional staff than the professional staff, while the university expenditure per student shows higher positive correlation to the professional staff. 5. In the results of the correlation analysis between Korea and America, in the case of the total library staff, the undergraduate enrollments, the total university expenditure and the library expenditure show higher positive correlation to Korea than America, and in the case of the professional staff, the graduate, enrollments, the volumes in library and the above 3 factors also show higher positive correlation to Korea than America. But in the case of the nonprofessional staff, the graduate enrollments, the volumes in library and library materials expenditure show higher correlation to America than Korea, while the total university expenditure shows the o n.0, pposit phenomenon of the above. And the other factors by the type of staff are little significant difference between two countries.

• Journal of Astronomy and Space Sciences
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• 제23권3호
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• pp.167-176
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• 2006

We investigate the correlation between the peak energy and the burst duration using available long GRB data with known redshift, whose circumburst medium type has been suggested via afterglow light curve modeling. We find that the peak energy and the burst duration of the observed GRBs are correlated both in the observer frame and in the GRB rest frame. For our total sample we obtain, for instance, the Spearman rank-order correlation values ${\sim}0.75\;and\;{\sim}0.65$ with the chance probabilities $P=1.0{\times}10^{-3}\;and\;P=6.0{\times}10^{-3}$ in the observer frame and in the GRB rest frame, respectively. We note that taking the effects of the expanding universe into account reduces the value a bit. We further attempt to separate our GRB sample into the 'ISM' GRBs and the 'WIND' GRBs according to environment models inferred from the afterglow light curves and apply statistical tests, as one may expect that clues on the progenitor of GRBs can be deduced directly from prompt emission properties other than from the ambient environment surrounding GRBs. We find that two subsamples of GRBs show different correlation coefficients. That is, the Spearman rank-order correlation are ${\sim}0.65\;and\;{\sim}0.57$ for the 'ISM' GRBs and 'WIND' GRBs, respectively, after taking the effects of the expanding universe into account. It is not yet, however, statistically very much significant that the GRBS in two types of circumburst media show statistically characteristic behaviors, from which one may conclude that all the long bursts are not originated from a single progenitor population. A larger size of data is required to increase the statistical significance.

• Nuclear Engineering and Technology
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• 제25권1호
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• pp.63-70
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• 1993

암반동굴 타입의 저준위방사성폐기물 처분장의 보수적인 안전성평가를 처분장 선원항 REPS 모델을 사용하여 수행하였다. 신뢰할만한 핵종별 침출율 예측을 위하여 REPS 모델에서 콘크리트 구조물의 열하시간, 부석의 형태와 부식율. 드럼표면의 부식면적 비, 그리고 핵종의 특성등이 고려되고 있다. 예비평가의 결과로 Cs-137, Ni-63, Sr-90등이 주요한 핵종임을 알 수 있다. 파라메타의 불확실성과 민감도분석을 위하여 라틴하이퍼큐브 샘플링과 Rank Correlation 기법이 사용되었다. 침입자 시나리오를 적용하였을 경우의 예상 피폭선량도 허용치 이하임과 처분장의 환경영향평가에 있어서 비교적 불확실성이 적은 Near Field의 중요성에 대한 인식이 새롭게 강조되어야 할 필요가 있음을 알 수 있었다.

• Journal of Information Science Theory and Practice
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• 제1권1호
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• pp.27-41
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• 2013

We investigated how bibliometric indicators such as publication count and citation count affect the assessment of research performance by computing various bibliometric scores of the works of Korean LIS faculty members and comparing the rankings by those scores. For the study data, we used the publication and citation data of 159 tenure-track faculty members of Library and Information Science departments in 34 Korean universities. The study results showed correlation between publication count and citation count for authors with many publications but the opposite evidence for authors with few publications. The study results suggest that as authors publish more and more work, citations to their work tend to increase along with publication count. However, for junior faculty members who have not yet accumulated enough publications, citations to their work are of great importance in assessing their research performance. The study data also showed that there are marked differences in the magnitude of citations between papers published in Korean journals and papers published in international journals.

• Journal of Information Processing Systems
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• 제17권3호
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• pp.441-452
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• 2021

Federated learning provides an efficient integrated model for distributed data, allowing the local training of different data. Meanwhile, the goal of multi-task learning is to simultaneously establish models for multiple related tasks, and to obtain the underlying main structure. However, traditional federated multi-task learning models not only have strict requirements for the data distribution, but also demand large amounts of calculation and have slow convergence, which hindered their promotion in many fields. In our work, we apply the rank constraint on weight vectors of the multi-task learning model to adaptively adjust the task's similarity learning, according to the distribution of federal node data. The proposed model has a general framework for solving optimal solutions, which can be used to deal with various data types. Experiments show that our model has achieved the best results in different dataset. Notably, our model can still obtain stable results in datasets with large distribution differences. In addition, compared with traditional federated multi-task learning models, our algorithm is able to converge on a local optimal solution within limited training iterations.

• Asian Pacific Journal of Cancer Prevention
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• 제16권1호
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• pp.355-361
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• 2015

Background: Deletion types of genetic variants of glutathione S-transferase (GST) M1 and T1, the GSTM1 null and GSTT1 null which are risk factors for certain cancers, have been ubiquitously found in human populations but their worldwide distribution pattern is unclear. Materials and Methods: To perform a meta-analysis, a systematic search for the literature on GSTM1 and GSTT1 null genotypes was done to identify 63 reports for 81 human populations. Relationships between the GSTM1 and GSTT1 null genotype frequencies and the absolute latitude of 81 populations were tested by Spearman's rank correlation coefficient. Results: A significant positive correlation was detected between the GSTM1 null genotype frequency and the absolute latitude (r=0.28, p-value <0.05), whereas the GSTT1 null genotype frequency and absolute latitude showed a significant negative correlation (r= -0.41 p-value <0.01). There was no correlation between the frequencies of GSTM1 and GSTT1 null genotype in each population (r= -0.029, p-value=0.80). Conclusions: Latitudinal clines of the distribution of the GSTM1 and GSTT1 null genotypes may be attributed to the result of gene-environmental adaptation. No functional compensation between GSTM1 and GSTT1 was suggested by the lack of correlation between the null frequencies for GSTM1 and GSTT1.

• Journal of Applied Biological Chemistry
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• 제62권4호
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• pp.407-415
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• 2019

들깻잎에 살포된 triazole계 살균제 6종에 대하여 생물학적 반감기를 산출하고 분해 및 소실 속도를 확인하였으며, 통계분석으로 생물학적 반감기와 농약의 물리화학적 특성간의 상관관계를 확인하였다. 확립된 분석법으로 6종 농약의 회수율 시험 결과 84.8-104.9%로 잔류농약분석법 기준을 만족하였다. 들깻잎에 살포한 농약 6종의 생물학적 반감기는 first-order kinetics model으로 산출하였으며, 그 결과 6.4-15.1일로 나타났다. 산출된 생물학적 반감기와 6종의 농약의 물리화학적 특성을 주성분 분석으로 상관성을 확인하였을 때, pKa, Log P 및 생물학적 반감기가 PC1에 영향을 받아 상관성이 있는 것으로 나타났다. Spearman rank-order correlation으로 생물학적 반감기와 물리화학적 특성간의 상관계수를 산출하였을 때, 생물학적 반감기와 pKa는 R² = -0.928, p <0.01로 나타나, 생물학적 반감기는 pKa와 상관성이 있는 것으로 나타났다.

• 정보관리학회지
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• 제18권4호
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• pp.103-125
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• 2001

이 연구는 86개 4년제 대학도서관을 대상으로 장서개발을 관련 요소와 유형별 장서규모간의 상관관계와 상관계수의 차의 유무를 구명한 것이다. 이 연구의 결과는 다음과 같다. 상관분석 결과 도서와 연속간행물은 설립자별에 따라 1∼2개 요소를 제외하고 모두 정(正)의 상관관계를, 비도서자료는 대부분 무상관을 나타냈다. 그리고 국공립대와 사립대의 상관계수 순위는 연속간행물이 61%의 일치도를 보인 반면, 도서는 거의 무일치로 나타났다. 상관계수간의 차이 분석결과 요소별로는 총 도서수만 상당수의 요소들이 뚜렷한 차를 나타냈고, 장서유형별로는 총 도서수와 연간 도서증가량간에는 대부분의 요소가 총 도서수와, 연간 도서증가량과 연속간행물간에는 2∼3개의 요소가 연속간행물과, 총 도서수와 연속간행물간에는 대부분의 요소가 총 도서수와 더 높은 관계를 나타냈다.

• The Journal of Asian Finance, Economics and Business
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• 제7권7호
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• pp.113-121
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• 2020

Multi-criteria stock selection is a critical issue for effective investment since the improper stock investment might cause many problems affecting investors negatively. Investors need a range of financial indicators while they are choosing the optimal set of stocks to invest. This study aims to rank the stock of agriculture companies indexed on the Vietnam Stock Exchange Market. The data of 13 agriculture companies during the 2016-2019 periods was analyzed by analytical hierarchy process (AHP) integrated with grey relational analysis (GRA), multi-objective optimization ratio analysis (MOORA), and technique for order performance by similarity to ideal solution (TOPSIS). The AHP method is employed to determine the weights of the proposed financial ratios, and GRA, TOPSIS, and MOORA approaches are used to obtain final ranking. The results indicated that HSL is the top stock with the highest rank and GRA, MOORA, and TOPSIS rankings have strong correlation values between 0.78-1. The findings suggest that the integrated model could be implemented effectively to specific analysis of industries such as oil and gas, textiles, food, and electronics in future research. Further, other techniques like COPRAS, KEMIRA, and EDAS could be employed to evaluate the financial performance of other companies to solve investment problems.