• Journal of Korean Society of Industrial and Systems Engineering
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• v.23 no.59
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• pp.69-77
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• 2000

To make internet shopping mall competitive, effective consumer service should be provided. The objective of this study is to analyse the consumer satisfaction for internet shopping mall. For this purpose, questionnaire survey has been used. For the statistical analysis, multivariate linear regression were utilized using the SAS program. According to the results in this study, the variables that positively affect toward consumer satisfaction are the quality of goods, the information of goods, the display method of goods, the convenience of ordering point of time and cancellation. On the contrary, the variables that negatively affect toward consumer satisfaction are the price of goods and the weakness of information security.

• Child Health Nursing Research
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• v.17 no.2
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• pp.111-119
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• 2011

Purpose: This study was done to build and test a theoretical model that could be used to explain and predict parenting behavior of mothers with preschool children. Methods: The participants were 298 mothers with preschool children. Data were analyzed using the SAS (Statistical Analysis System) and AMOS (Analysis of Moment Structures) programs. Results: Parenting stress showed a direct effect on parenting satisfaction. Parenting efficacy showed a direct effect on parenting behavior. Parenting stress showed an indirect effect on parenting behavior. Parenting efficacy was found to mediate the relationship between parenting stress and parenting behavior. Income and mother's perfectionism had an impact on parenting behavior. Conclusion: The outcomes of this study indicate the necessity of designing intervention programs that emphasize increasing parenting efficacy in order to increase positive parenting behavior.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.2
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• pp.432-439
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• 2020

This study examined the metabolites in different roughage to concentrate ratios using proton nuclear magnetic resonance spectroscopy (1H-NMR). Six lactating cows were divided into two groups that were fed different roughage to concentrate ratios (HR group = 8:2, HC group = 2:8). Feces samples were collected individually at one time, and the metabolites were analyzed using an SPE-800 MHz NMR-MS system. The metabolites were identified and quantified using a Chenomx NMR suite 8.4. Metabolic pathway analysis and principal component analysis were conducted using a Metaboanalyst 4.0. Statistical analysis was performed using a Dunnett's test on the SAS program. As a result, several metabolites were identified, and among them, 77 metabolites were used in statistical analysis. The levels of twelve metabolites were significantly higher in the HC group: succinate, dimethylamine, histamine, homovanillate, thymol, acetate, propionate, butyrate, isovalerate, valerate, imidazole, N-nitrosodimethylamine, and O-acetylcholine. In the HC group, the concentrations of all metabolites were higher than in the HR group, and the metabolic pathway was also different. This study is expected to be useful for a variety of livestock studies by 1H-NMR because it examined the change in metabolites in the body metabolism and microorganisms.

• The Journal of Advanced Prosthodontics
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• v.9 no.2
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• pp.77-84
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• 2017

PURPOSE. The aim of this study was to compare the surface roughness of zirconia when using Zircos E etching system (ZSAT), applying a nitric acid-hydrofluoric acid compound as a pretreatment agent, and also to compare the shear bonding strength according to different resin cements. MATERIALS AND METHODS. ZSAT, air abrasion, and tribochemical silicacoating were applied on prepared 120 zirconia specimens (10 mm in diameter, 7 mm in height) using CAD/CAM. Each 12 specimens with 4 different resin cements (Panavia F 2.0, Rely X Unicem, Superbond C&B, and Hot bond) were applied to test interfacial bond strength. The statistical analysis was performed using SAS 9.1 (SAS Institute Inc., Cary, NC, USA). The results are as follows: after application of the ZSAT on the zirconia specimens, surface roughness value after 2-hour etching was higher than those after 1- and 3-hour etching on SEM images. RESULTS. For Superbond C&B and Rely X Unicem, the specimens treated with ZSAT showed higher shear bond strength values than those treated with air abrasion and tribochemical silicacoating system. Regarding the failure mode of interface over cement and zirconia surface, Rely X Unicem and Hot bond showed cohesive failures and Panavia F 2.0 and Superbond C&B showed mixed failures. CONCLUSION. Zircos E etching system in zirconia restoration could increase its shear bond strength. However, its long term success rate and clinical application should be further evaluated.

• YAKHAK HOEJI
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• v.54 no.4
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• pp.309-315
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• 2010

The Positive List System was newly introduced in South Korea as of January 2007. This study aims to survey and compare perception of and attitudes toward the Positive List System in the process of new drug listing that health professionals and pharmaceutical companies have. 50 professionals and 52 companies answered the questionnaire regarding health policy environments, policy decision/enforcement process, policy effects and satisfaction related to introducing the Positive List System. SAS 9.1 was used for statistical analyses. The results showed that participants had the general sympathy with health policy environments for the introduction of the Positive List System into South Korea. However, the response rates of policy decision/enforcement process and effects were negative and these tendencies were more striking in pharmaceutical companies. As for policy satisfaction, participants marked positive responses more than negative ones. It is necessary to remedy and supplement problems with policy decision/enforcement policy and effects revealed in this study and to improve the Positive List System through gathering opinions among groups and organization concerned.

• International Journal of Control, Automation, and Systems
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• v.5 no.1
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• pp.104-109
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• 2007

This paper is about a redundancy management system design for the Smart UAV(unmanned aerial vehicle) which utilizes the tilt..rotor mechanism. In order to meet the safety requirement on the PLOC(probability of loss of control) of $1.7{\times}10^{-5}$ per flight hour for FCS (flight control system) failures, a digital FCS is mechanized with a dual redundant structure. A fault detection system which is composed of a CCM(cross channel monitor) and analytic redundancy using the Kalman filtering is designed, and its effectiveness is evaluated through experiments. A threshold level and persistence count for managing redundant sensors are designed based on the statistical analysis of the FCS sensors. To increase the survivability of the UAV after the loss of critical sensors in the SAS(stability augmentation system) and to provide reference information for a tie-breaking condition at which an ILM(in-line monitor) cannot distinguish the faulty channel between two operating ones, the Kalman filter approach is investigated.

• The Research Journal of the Costume Culture
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• v.5 no.4
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• pp.130-158
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• 1997

This study outputs calculation of regression of each items for production of torso basic pattern according to 6 body types as the result of another study and intends to present drawing method of torso model by short measure method modified and supplied and supplied by experiments of wearing clothing. SAS(Statistical Analysis System) is used for figures management and methods for analysis used are Frequency Analysis, Means Analysis, Regression Analysis, Correlation Analysis, etc. Results are as follows. 1. Correlation analysis is used to output the size necessary for torso prototype drawing by sort measure method and waist front length, back length, crotch length, shoulder point-cerricale-shoulder point, bust circumference, waist circumference, weight, etc, are set up as representative items calculation of regression of each type is suggested. 2. In the result of experiment of the first wearing clothing intended for 5 in each type and the whole 30, to develop torso prototype drawing method by short measure method, as we find some problems of the shape and propriety of neck root circumference line, the position of shoulder point, pulling or hold armpit parts, waist circumference line, the degree of dissatisfaction is high, so the second experiment of wearing clothing is propriety of each part is improved, all items except the length and quantity of shoulder dart, waist in back bodice, clearance quantity of hip circumference, and the place of shoulder line in side bodice. So, it was modifed and supplied and then the third torso prototyped drawing method by shout measure method was suggested. The third prototype drawing method was suggested, by modifying and supplying.

• Journal of the Korean Home Economics Association
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• v.30 no.3
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• pp.241-256
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• 1992

The purpose of this study is to investigate the relation between housewives' home management behavior and communication in the family, and find family environmental variables related to home management behavior and communication in the family. In order to clarify the above stated problems, the data were obtained from questionnaires with 68items. The selected sample is composed of 395 housewives in Pusan. SAS Computer System was used for the statistical analysis of the data. The results were as follow. (1) Home management behavior score showed 3.06(61.2%). Home management score of human-relationship was the highest, and that of house keeping was the lowest. (2) Home management behavior was influenced by educational level and scoioeconomic status. (3) Communication in family score showed 3.51(70.2%). Communication of housewife-husband score was lower than communication of housewife-children. (4) Communication in the family was influenced by housewives'age, educational level, numbers of children, duration of marriage and socio-economic status. (5) There were positive relation between home management behavior and communication in the family. (6) Influential variables related to home management behavior were communication in the family.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.24 no.63
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• pp.79-87
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• 2001

To make cyber universities competitive, the level of the learning effect for students should be improved. The objective of this study is to analyse the factors influencing the learning effect of cyber universities. For this purpose, questionnaire survey has been used. For the statistical analysis, multivariate linear regression were utilized using the SAS program. According to the results in this study, the variables that influence toward the learning effect are the experience of computer, the systematic and comprehensive lecture note, and the quickly responses to questions. These variables can be utilized in improving the educational service quality of cyber universities.

• Journal of Korea Water Resources Association
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• v.44 no.4
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• pp.295-304
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• 2011

For effective water quality management, it is necessary to secure reliable water quality information. There are many variables that need to be included in a comprehensive practical monitoring network : representative sampling locations, suitable sampling frequencies, water quality variable selection, and budgetary and logistical constraints are examples, especially sampling location is considered to be the most important issues. Until now, monitoring network design for water quality management was set according to the qualitative judgments, which is a problem of representativeness. In this paper, we propose network design system for optimal water quality monitoring using the scientific statistical techniques. Network design system is made based on the SAS program of version 9.2 and configured with simple input system and user friendly outputs considering the convenience of users. It applies to Excel data format for ease to use and all data of sampling location is distinguished to sheet base. In this system, time plots, dendrogram, and scatter plots are shown as follows: Time plots of water quality variables are graphed for identifying variables to classify sampling locations significantly. Similarities of sampling locations are calculated using euclidean distances of principal component variables and dimension coordinate of multidimensional scaling method are calculated and dendrogram by clustering analysis is represented and used for users to choose an appropriate number of clusters. Scatter plots of principle component variables are shown for clustering information with sampling locations and representative location.