• 한국농공학회:학술대회논문집
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• 한국농공학회 2005년도 학술발표논문집
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• pp.614-619
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• 2005

The object of this study was to presented regression equations for obtaining simply and quickly values of water quality items, BOD, COD, T-N, and T-P. Regression equations obtained to analyze relationships for water quality items to land use types in agricultural reservoir watersheds. In order to derive regression equations, a multiple linear regression analysis was used in this studying reservoirs. In this regression analysis, a independent values used land used types and dependent values used BOD, COD, T-N, T-P values in water quality items. The results showed that numbers of regression equation ranging above 0.90 in a multiple correlation coefficient (MCC) was not found, ranging from 0.70 to 0.90 in the MCC was 6, ranging from 0.40 to 0.70 in the MCC was 20, and ranging from 0.20 to 0.40 in the MCC was 4. The results of this study can be used as a basic information for evaluating simply and quickly water quality for proposing and designing steps in water quality policy.

• Structural Engineering and Mechanics
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• 제45권6호
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• pp.837-851
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• 2013

In construction industry, strength is a primary criterion in selecting a concrete for a particular application. The concrete used for construction gains strength over a long period of time after pouring the concrete. The characteristic strength of concrete is defined as the compressive strength of a sample that has been aged for 28 days. Neither waiting for 28 days for such a test would serve the rapidity of construction, nor would neglecting it serve the quality control process on concrete in large construction sites. Therefore, rapid and reliable prediction of the strength of concrete would be of great significance. On this backdrop, the method is proposed to establish a predictive relationship between properties and proportions of ingredients of concrete, compaction factor, weight of concrete cubes and strength of concrete whereby the strength of concrete can be predicted at early age. Multiple regression analysis was carried out for predicting the compressive strength of concrete containing Portland Pozolana cement using statistical analysis for the concrete data obtained from the experimental work done in this study. The multiple linear regression models yielded fairly good correlation coefficient for the prediction of compressive strength for 7, 28 and 40 days curing. The results indicate that the proposed regression models are effectively capable of evaluating the compressive strength of the concrete containing Portaland Pozolana Cement. The derived formulas are very simple, straightforward and provide an effective analysis tool accessible to practicing engineers.

• 가정과삶의질연구
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• 제19권1호
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• pp.143-158
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• 2001

The purpose of this study was to examine the influences of the material values, attitudes toward money, and the background variables to the money use behavior of female collegians. The samples were selected from 541 female collegians. Cronbach$\alpha$, One-way ANOVA, Duncan test, Multiple regression, Path analysis were used as statistical analysis. The results were summarized as follows : Resulting from multiple regression analysis, the money use behavior of female collegians had the positive linear relationships with the variables such as mothers level of education, material values, and 3 money attitude - the means of security, the symbol of anxiety, the means of pleasure - in five money attitude dimensions. The most influential variable was money attitude of the means of security.

• 한국전산구조공학회:학술대회논문집
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• 한국전산구조공학회 2000년도 봄 학술발표회논문집
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• pp.215-221
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• 2000

A simple numerical modeling technique is proposed for the analysis of framed tube structures with multiple internal tubes. The structures are analysed using a continuum approach in which each tube is individually modelled by a tube beam that accounts for the flexural and shear deformations, as well as the shear lag effects. By simplifying assumptions regarding the form of strain distributions in external and internal tubes, the structural behaviours is reduced to the solution of a single second order linear differential equation. The numerical analysis uses the variational approach on the basis of the minimum potential energy priniciple. Three framed-tube sructures with single, two and three internal tubes are analysed to verify the applicability and reliability of the proposed method.

• 한국사회복지학
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• 제45권
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• pp.288-314
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• 2001

The purpose of this study is to examine the strategies that may influence the marital satisfaction of dual-earner men and women. General linear model, Pearson's correlation analysis, Stepwise multiple regression were employed for data analysis. the subjects are 396 dual-earner men and women. The result from the research were as follows: 1) coping strategy use differs significantly by life cycle stage. 2) The following strategies significantly correlated with the level of marital satisfaction: cognitive restructuring, delegation. using social support, modifying standards, personal time reducing. 3) The result of stepwise multiple regression analysis indicated that strategies which predict the level of marital satisfaction were cognitive restructuring, delegating, using social support, personal time reducing. these finding give us significant practical implications for social work intervention.

• 한국농공학회지
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• 제29권3호
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• pp.125-137
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• 1987

The purpose of this paper is to examine some difficulties in water management of agricultural reservoirs in Korea, for there are approximately more than 15,000 reservoirs which are now being utilized for the purpose of irrigation, along with the much amount of expenses and labors to be invested against droughts and floods periodically occurred. Recently, the effective use of water resources in the agricultural reservoirs with a single purpose, is becomming multiple according to the alterable environment of water use. Therefore, the task to allocate agricultural water rationally and economically must be solved for the multiple use of agricultural reservoirs. On the basis of the above statement, this study aims at suggesting the rational method of water management by introducing an optimal technique to allocate the water in an existing agricultural reservoir rationally, for the sake of maximizing the economic effect. To achieve this objective, a reservoir, called "0-Bongje" as a sample of the case study, is selected for an agricultural water development proiect of medium scale. As a model for the optimum allocation of water in the multi-purpose use of reservoirs a linear programming model is developed and analyzed. As a result, findings of the study are as follows : First, a linear programing model is developed for the optimum allocation of water in the multi-purpose use of agricultural reservoirs. By adopting the model in the case of reservoir called "O-Bongje," the optimum solution for such various objects as irrigation area, the amount of domestic water supply, the size of power generation, and the size of reservoir storage, etc., can be obtained. Second, by comparing the net benefits in each object under the changing condition of inflow into the reservoir, the factors which can most affect the yearly total net benefit can be drawn, and they are in the order of the amount of domestic water supply, irrigation area, and power generation. Third, the sensitivity analysis for the decision variable of irrigation which may have a first priority among the objects indicate that the effective method of water management can be rapidly suggested in accordance with a condition under the decreasing area of irrigation. Fourth, in the case of decision making on the water allocation policy in an existing multi-purpose reservoir, the rapid comparison of numerous alternatives can be possible by adopting the linear programming model. Besides, as the resources can be analyed in connection with various activities, it can be concluded that the linear programing model developed in this study is more quantitative than the traditional methods of analysis. Fifth, all the possible constraint equations, in using a linear programming model for adopting a water allocation problem in the agricultural reservoirs, are presented, and the method of analysis is also suggested in this study. Finally, as the linear programming model in this study is found comprehensive, the model can be adopted in any different kind of conditions of agricultural reservoirs for the purpose of analyzing optimum water allocation, if the economic and technical coefficients are known, and the decision variable is changed in accordance with the changing condition of irrigation area.

• Journal of Acupuncture Research
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• 제35권4호
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• pp.226-237
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• 2018

Background: This study examined the characteristics and prognosis of patients admitted to the Dunsan Korean medicine hospital for treatment of herniated intervertebral disc (HIVD) or spinal stenosis with Miniscalpel needle therapy (MSN). Methods: Patients were admitted to the Dunsan Korean medicine hospital from January 01, 2016 to September 30, 2017 for the treatment of HIVD or spinal stenosis with MSN. Crossover analysis, Independent sample t test, one-way ANOVA, multiple linear regression analysis, and binary logistic regression analysis were performed. Results: Crossover analysis showed statistically significant differences in treatment methods according to gender, current pain according to the disease duration, satisfaction of MSN according to disease duration, treatment methods, and intention of re-treatment with MSN according to treatment methods. Independent t test and one-way ANOVA showed that there was a difference in current Numeric Rating Scale (NRS) according to disease duration, and difference between discharge and current NRS, and number of MSN according to disease. Multiple linear regression analysis showed that age, disease duration, and number of MSN affect discharge NRS, disease duration, and number of MSN affect current NRS, and Western medical treatment after MSN, discharge NRS, and current NRS affect satisfaction of MSN. Binary logistic regression analysis showed that discharge NRS affects current pain, and gender, discharge NRS, and treatment methods affect intention of re-treatment with MSN. Conclusion: Characteristics, prognosis, satisfaction and variables affecting prognosis of MSN were statistically significant, indicating that more systematic studies are required to further examine the effects of MSN on HIVD or spinal stenosis.

• International Journal of Contents
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• 제9권4호
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• pp.1-10
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• 2013

The electroencephalogram (EEG) time series is a measure of electrical activity received from multiple electrodes placed on the scalp of a human brain. It provides a direct measurement for characterizing the dynamic aspects of brain activities. These EEG signals are formed from a series of spatial and temporal data with multiple dimensions. Missing data could occur due to fault electrodes. These missing data can cause distortion, repudiation, and further, reduce the effectiveness of analyzing algorithms. Current methodologies for EEG analysis require a complete set of EEG data matrix as input. Therefore, an accurate and reliable imputation approach for missing values is necessary to avoid incomplete data sets for analyses and further improve the usage of performance techniques. This research proposes a new method to automatically recover random consecutive missing data from real world EEG data based on Linear Dynamical System. The proposed method aims to capture the optimal patterns based on two main characteristics in the coevolving EEG time series: namely, (i) dynamics via discovering temporal evolving behaviors, and (ii) correlations by identifying the relationships between multiple brain signals. From these exploits, the proposed method successfully identifies a few hidden variables and discovers their dynamics to impute missing values. The proposed method offers a robust and scalable approach with linear computation time over the size of sequences. A comparative study has been performed to assess the effectiveness of the proposed method against interpolation and missing values via Singular Value Decomposition (MSVD). The experimental simulations demonstrate that the proposed method provides better reconstruction performance up to 49% and 67% improvements over MSVD and interpolation approaches, respectively.

• 응용통계연구
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• 제21권3호
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• pp.441-453
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• 2008

프로스포츠 선수들의 연봉은 선수들의 개인 성적과 팀에 대한 기여도 등으로 결정된다는 가정하에 프로농구와 프로야구 선수들의 전년도 성적으로 다음해 연봉을 예측 분석하였다. 분석에 있어서 data visualization 기법을 통해 변수사이의 관계, 이상점 발견, 모형진단등을 하였다. 다중선형회귀 모형(Multiple Linear Regression)과 트리모형(Regression Tree)을 이용해서 자료를 분석하고 모델간 비교를 했으며, Cross-Validation을 이용해서 최적모델을 선택하였다. 특히, 자동으로 변수선택을 하는 stepwise regression방법을 그냥 사용하기보다는 먼저 설명변수들 사이의 관계나 설명변수와 반응변수 사이의 관계등을 조사하고 나서 이를 통해 선택된 변수들을 가지고 stepwise regression과 regression tree 방법론을 이용해서 적절한 변수 및 최종 모형을 선택하였다. 분석결과, 프로농구의 경우에는 경기당 득점, 어시스트, 자유투 성공수, 경력 등이 중요한 변수였고, 프로야구 투수의 경우에는 경력, 9이닝 당 삼진 수, 방어율, 피홈런 수 등이 중요한 변수였고, 프로야구 타자의 경우에는 경력, 안타 수, FA(자유계약)유무 여부 등이 중요한 변수였다.

• 한국전자통신학회논문지
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• 제7권2호
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• pp.263-269
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• 2012

CDMA는 여러 사용자가 시간과 주파수를 공유하면서 각 사용자에게 확산코드라고 하는 서로 다른 의사잡음수열(pseudonoise sequence)을 할당한다. 각 사용자는 할당된 확산코드를 이용하여 송신할 신호를 변조한다. 신호를 변조하는데 사용하는 코드를 선택하는 것은 CDMA 시스템의 수행능력을 결정하는 데 있어 매우 중요하다. 왜냐하면 품질이 좋은 수열은 사용자들 사이의 신호들의 간섭을 줄이고 신호를 잘 복호할 수 있도록 하기 때문이다. 수신자는 데이터를 복호하기 위해 수신된 부호를 동기화한다. 서로 독립인 코드를 사용하는 것은 동시 다중접속을 가능하게 한다. 본 논문에서는 확산 스펙트럼 통신에서 다중접속 충돌을 최소화하고, 시스템의 보안을 증가시키고 사용자의 수를 늘이는데 도움을 주는 비선형 수열을 생성하고 상호상관관계를 분석한다.