• Advances in Computational Design
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• v.2 no.3
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• pp.225-240
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• 2017

This paper presents the application of multiple linear regression (MLR) and artificial neural network (ANN) techniques for developing the models to predict the unconfined compressive strength (UCS) and Brazilian tensile strength (BTS) of the fiber reinforced cement stabilized fly ash mixes. UCS and BTS is a highly nonlinear function of its constituents, thereby, making its modeling and prediction a difficult task. To establish relationship between the independent and dependent variables, a computational technique like ANN is employed which provides an efficient and easy approach to model the complex and nonlinear relationship. The data generated in the laboratory through systematic experimental programme for evaluating UCS and BTS of fiber reinforced cement fly ash mixes with respect to 7, 14 and 28 days' curing is used for development of the MLR and ANN model. The data used in the models is arranged in the format of four input parameters that cover the contents of cement and fibers along with maximum dry density (MDD) and optimum moisture contents (OMC), respectively and one dependent variable as unconfined compressive as well as Brazilian tensile strength. ANN models are trained and tested for various combinations of input and output data sets. Performance of networks is checked with the statistical error criteria of correlation coefficient (R), mean square error (MSE) and mean absolute error (MAE). It is observed that the ANN model predicts both, the unconfined compressive and Brazilian tensile, strength quite well in the form of R, RMSE and MAE. This study shows that as an alternative to classical modeling techniques, ANN approach can be used accurately for predicting the unconfined compressive strength and Brazilian tensile strength of fiber reinforced cement stabilized fly ash mixes.

• Korean Journal of Hospice Care
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• v.6 no.2
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• pp.69-78
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• 2006

Purpose: This study was conducted to analysis relationship about quality of life and family burden of the home-based hospice patient families. Method: The subjects consisted of 94 families with home-based hospice patient. The ages of the subjects were 17-73 years with hospice patient who receivedhome visiting care and registered at 4 hospitals in Daegu and Kyung-Buk. The data was collected from March to November 2004. The instruments used for the study were Quality of Life Scale (GLS) and Family Burden Questionnaire (FBQ). The analysis was done using frequency, mean, standard deviation, correlation and stepwise multiple regression with SPSS WIN 11.0. Results: The results were as follows: 1. The mean score of family burden was 3.36 ($\pm0.55$). The highest mean score of family burden 6 factors were wellness of future 3.85($\pm1.10$), and the second was economic family burden 3.63($\pm0.97$). 2. The mean score of quality of life was 3.09 ($\pm0.48$). The lowest score of quality of life 6 factors were economic status 2.86($\pm0.54$), and the second was physical state and function 3.01($\pm0.62$). 3. In the home-based hospice patient families, family burden had significant negative correlation with quality of life(r=-0.25, p=0.012). 4. Emotional status accounted for 11% of family burden in the home-based hospice patient families by means of stepwise multiple regression. 5. Economical status accounted for 18 and age accounted for an additional 11% of quality of life in the home-based hospice patient families by means of stepwise multiple regression. Conclusion: The finding showed that family burden and quality of life of home-based hospice patient families were significantly negative correlation and the highest factor of family burden was wellness of future and the most important factor of quality of life was economic status.

• Computers and Concrete
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• v.31 no.2
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• pp.85-95
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• 2023

Natural pozzolans are used as additives in cement to develop more durable and high-performance concrete. Pozzolanic activity index (PAI) is important for assessing the performance of a pozzolan as a binding material and has an important effect on the compressive strength, permeability, and chemical durability of concrete mixtures. However, the determining of the 28 days (short term) and 90 days (long term) PAI of concrete mixtures is a time-consuming process. In this study, to reduce extensive experimental work, it is aimed to predict the short term and long term PAIs as a function of the chemical compositions of various natural pozzolans. For this purpose, the chemical compositions of various natural pozzolans from Central Anatolia were determined with X-ray fluorescence spectroscopy. The mortar samples were prepared with the natural pozzolans and then, the short term and the long term PAIs were calculated based on compressive strength method. The effect of the natural pozzolans' chemical compositions on the short term and the long term PAIs were evaluated and the PAIs were predicted by using multiple linear regression (MLR) and adaptive neuro-fuzzy inference system (ANFIS) model. The prediction model results show that both reactive SiO₂ and SiO₂+Al₂O₃+Fe₂O₃ contents are the most effective parameters on PAI. According to the performance of prediction models determined with metrics such as root mean squared error (RMSE) and coefficient of correlation (R²), ANFIS models are more feasible than the multiple regression model in predicting the 28 days and 90 days pozzolanic activity. Estimation of PAIs based on the chemical component of natural pozzolana with high-performance prediction models is going to make an important contribution to material engineering applications in terms of selection of favorable natural pozzolana and saving time from tedious test processes.

• Korean Journal of Child Studies
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• v.37 no.6
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• pp.19-33
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• 2016

Objective: This study aimed to examine the prospective links among perspective taking, attachment security, and executive function and the mediating role of executive function on the relationship between attachment security and perspective taking. Methods: The participants included 147 preschoolers living in Gyeonggi. The data-analysis methods included descriptive statistics, independent t-tests, one-way ANOVAs, Pearson's correlation analysis, hierarchical multiple regression analysis, and the Sobel test. Results: First, preschoolers' perspective taking was significantly related to attachment security, and executive function. Furthermore, there was a significant association between attachment security and executive function. As expected, the correlations were positive in all cases. Second, the effects of attachment security on intention and emotion perspective takings were fully mediated by executive function when holding children's age and vocabulary constant. However, executive function did not predict thought perspective taking, whereas attachment security did. Conclusion: Given that parent-child attachment security might play an important role in child cognitive and socio-cognitive development, parents' endeavors to enhance the quality of the attachment relationship could be a fruitful path for preschoolers' developing executive capacities and perspective taking.

• Journal of Korean Public Health Nursing
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• v.25 no.1
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• pp.28-37
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• 2011

Purpose: The study examined influencing factors on death anxiety in the aged. Method: This was a descriptive survey study. Data were collected from March to June, 2010, from357 older home-dwelling adults. The questionnaires solicited information on death anxiety, family function, morale, health behavior and ego-integrity. Data was analyzed using descriptive statistics, Pearson's correlation, and stepwise multiple regression. Results: Average scores were 2.50 for death anxiety, 3.80 for family function, 9.0 for morale, 3.12 for health behavior and 2.84 for ego-integrity. There were statistically significant negative correlations between family function and death anxiety, morale and death anxiety, health behavior and death anxiety, and ego-integrity and death anxiety Morale, ego-integrity, and economic status were a significant predictor of death anxiety. Conclusion: Multilateral efforts are needed to assist the aged in successful aging through continuous body activities and active participation in society.

• Journal of Korean Society of Transportation
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• v.7 no.1
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• pp.5-18
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• 1989

Understanding the future level of car ownership is essential in order to formulate various transportation policies. Despite its importance, however, a revies of literature indicates that previous studies treated car ownership as a linear function of income, GNP, degree of urbanization and etc. more detaild and accurate models of car ownership should be possible if information on major variables determining car ownership can be gathered. In this paper, three approaches have been chosen to develop mathematical models to predict future increase in car ownership in Korea. The three methords developed are : income distribution methords ; multiple regression models ; forecasting curves.

• Proceedings of the IEEK Conference
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• 2008.06a
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• pp.679-680
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• 2008

When we apply the neural networks to applications, we need to select proper architecture of the network and the activation function of the network is one of most important characteristics. In this research, we propose a method to make a network using multiple activation functions. The performance of the proposed method is investigated through the computer simulations on various regression problems.

• Communications for Statistical Applications and Methods
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• v.28 no.2
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• pp.135-150
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• 2021

We propose principal differential analysis based classification methods. Computations of squared multiple correlation function (RSQ) and principal differential analysis (PDA) scores are reviewed; in addition, we combine principal differential analysis results with the logistic regression for binary classification. In the numerical study, we compare the principal differential analysis based classification methods with functional principal component analysis based classification. Various scenarios are considered in a simulation study, and principal differential analysis based classification methods classify the functional data well. Gene expression data is considered for real data analysis. We observe that the PDA score based method also performs well.

• Culinary science and hospitality research
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• v.16 no.2
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• pp.31-48
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• 2010

The purpose of this study was to examine the influence of food service web site users' functional recognition extent on switching behaviors. For this, a survey of web site users was carried out. As for analytic methods, frequency analysis was used to examine respondents' demographic features. In addition, simple regression analysis and multiple regression analysis were carried out used to look into the influence of functional recognition of food providers' web sites on switching behaviors. Study findings are as follows: all the functional variables such as entertainment, advertisement & public relations, communication and purchase decision-making function have significant influence on users' switching behaviors. When users' recognition extent of food providers' online web sites is high, their switching behavior is also high. In particular, the following clause have the greatest influence upon users' switching behaviors pattern. In the function of entertainment, (1) it is easy to search on web site; in the advertisement function, (2) the image of restaurant can easily be recognize; In the communication function, (3) the image of new products can be seen with ease; and in the purchase decision-making function, (4) web sites are easily accessible.

• Journal of Society of Preventive Korean Medicine
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• v.14 no.1
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• pp.49-58
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• 2010

Objective : The purpose of this study is to examine safety of herbal medicine on liver function and compare with western medicine. Method : 303 subjects of skin disease(vitiligo and psoriasis) were chosen at a local oriental medical clinic, and tested with a spot liver function test from Sept 1, 2006 to Dec 31, 2006. Subjects were grouped into untreated, herbal medicine, western medicine, and combination group by treatment record. Total bilirubin, AST, ALT and LDH was compared in each group, odds ratio and regression coefficient was calculated. Results : Subjects comprised of 116 individuals receiving western medication(38.28%), 54 receiving herbal medication(17.82%), 107 receiving combined forms of medication(35.31%), and 26 individuals without any types of medication(8.58%). With the mean age of 37.0 yr. 204 were male(67.3%), 99 were female(32.7%). Comparing variables of liver functions, there was no significant difference between the control and experiment groups. After adjusting potential confounders, monthly $\beta$(SE) of multiple regression -0.009~0.000 for the herbal group, -0.005~0.000 for the western group, and -0.001~0.001 for the combination group. No significant difference between the groups. OR of T-bilirubin were 1.02, 1.05, and 1.04. AST were 0.92, 0.94, and 0.98. ALT were 0.85, 0.99, and 0.97. LDH were 0.96, 1.06, 1.00 for the herbal, western, and combination group, respectively. Conclusion : Comparing with western medication, herbal medication did not cause special ill-effect on the liver function based on liver function tests.