• Architectural research
• /
• v.15 no.4
• /
• pp.175-182
• /
• 2013

This study aims to explore age-related differences with the assessment tools in the web-based 3D virtual model house and to propose the 3D model house criteria which everyone can use easily. The participants came from three age groups, ranging from their 20s to their over 40. Presence, Usability and Space perception and cognition in the experiment for navigating and evaluating the web-based 3D model house were measured and compared through one-way ANOVA and two-way ANOVA. The results and conclusions are as follows. (1) The younger the participants were, the more positive they evaluated the experiment on Presence. However, 20s needed higher presence than other two groups. (2) 30s and over 40 groups evaluated that the 3D virtual model house was more efficient than an actual model house on Usability. When the participants were younger, the values of 'expressivity' factor were higher. (3) The younger the participants were, the more positive they perceived the virtual environment (VE) on Space perception and cognition scale. There were no significant differences in the selection of dwelling size and the floor plan type. There were no significant differences of interaction effects between age and online gaming experience on Presence and Usability. The results of the current study demonstrate that there are differences among age groups and older groups have difficulty navigating and assessing in a VE. Although older groups take longer to adapt in the VE, they regard the 3D model house as an effective tool for purchase of house.

• Structural Engineering and Mechanics
• /
• v.61 no.4
• /
• pp.519-526
• /
• 2017

In the present paper, the effects of cutting parameters and coating material on the performances of cutting tools in turning of AISI 52100 steel are discussed experimentally. A comparative study was carried out between uncoated and coated (with TiCN-TiN coating layer) cermet tools. The substrate composition and the geometry of the inserts compared were the same. A mathematical model was developed based on the Response Surface Methodology (RSM). ANOVA method was used to quantify the effect of cutting parameters on the machining surface quality and the cutting forces. The results show that feed rate has the most effect on surface quality. However, cutting depth has the significant effect on the cutting force components. The effect of coating layers on the surface quality was also studied. A lower surface roughness was observed when using PVD (TiCN-TiN) coated insert. A second order regression model was developed and a good accuracy was obtained with correlation coefficients in the range of 95% to 97%.

• Steel and Composite Structures
• /
• v.21 no.6
• /
• pp.1327-1345
• /
• 2016

$Al_2O_3$/SiC particulate reinforced (Metal Matrix Composites) MMCs which were produced by using stir casting process, bending strength and hardening behaviour were obtained using an analysis of variance (ANOVA) technique that uses full factorial design. Factor variables and their ranges were: particle size $2-60{\mu}m$; the stirring speed 450 rpm, 500 rpm and the stirring temperature $620^{\circ}C$, $650^{\circ}C$. An empirical equation was derived from test results to describe the relationship between the test parameters. This model for the tensile strength of the hybrid composite materials with $R^2$ adj = 80% for the bending strength $R^2$ adj = 89% were generated from the data. The regression coefficients of this model quantify the tensile strength and bending strengths of the effects of each of the factors. The interactions of all three factors do not present significant percentage contributions on the tensile strength and bending strengths of hybrid composite materials. Analysis of the residuals versus was predicted the tensile strength and bending strengths show a normalized distribution and thereby confirms the suitability of this model. Particle size was found to have the strongest influence on the tensile strength and bending strength.

• The Journal of Korean Physical Therapy
• /
• v.31 no.1
• /
• pp.24-30
• /
• 2019

Purpose: This study compared the effectiveness of three methods, fascial distortion model (FDM), myofascial release (MFR), self-myofascial release (SMR), on the neck range of motion and pain. Methods: In this study, the collected data were processed statistically using SPSS version 22.0 for Windows. Descriptive statistics were used to analyze the general characteristics of the subjects. Repeated measure ANOVA was conducted to analyze the range of motion of the neck of the group and VAS, and Contras was used to see the difference in significance over time. One-way ANOVA was used to compare the differences among the groups and a post-hoc test was used. The significance level (${\alpha}$) was 0.05. Results: In the range of motion, the flexion and extension of the neck, right rotation, and left rotation were significantly different in the SMR, FDM, and MFR groups. The right lateral flexion showed significant differences in the FDM, MFR, and SMR groups. The VAS was similar in the groups at 2 and 4 weeks, but there was a significant difference among the FDM, MFR, and SMR groups at 6 weeks. Conclusion: In this study, MFR and MSR as well as FDM were effective in controlling the range of motion and pain control of the neck. Further studies will be needed to determine the effects of long-lasting treatments other than pain control. These studies and the present study will be used as a basis for ongoing research into the duration and method of application for musculoskeletal therapies.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.39 no.2
• /
• pp.67-82
• /
• 2014

The purpose of this study is two-fold : the one is to examine the causal relationship between domestic large firms' win-win growth effort and their financial performance by fiscal years; and the other is to develop a quantitative win-win growth index to overcome the limitation of the current one mainly using a survey method developed by NCCP (National Commission for Corporate Partnership). To serve the first purpose, we take a sample of 128 large companies whose win-win growth indices as of year 2011 and 2012 were evaluated by NCCP. We use their respective fiscal year's financial data to select 62 candidate financial ratios, which are then used in subsequent empirical tests. For the tests, we employ ordered probit model with stepwise selection method and two-way ANOVA with randomized block design to identify which of the 62 financial ratios are statistically significant ones to affect the firms' win-win growth index as well as to determine if the firms' win-win growth effort would cause their financial performance positively. To serve the second purpose, we devise a model using the 123 firms' 45 financial ratios, which employs ordered probit model with stepwise selection, and the validation of the model follows. We claim that the model suggested in this study serve as an alternative complementing the current one as it can produce the index in a more objective and swift manner using the firms' publicized financial statements.

• Journal of Wetlands Research
• /
• v.12 no.3
• /
• pp.79-97
• /
• 2010

The purpose of this research is to apply the neural networks models for the hydrologic disaggregation of the yearly pan evaporation(PE) data in Republic of Korea. The neural networks models consist of multilayer perceptron neural networks model(MLP-NNM) and support vector machine neural networks model(SVM-NNM), respectively. And, for the evaluation of the neural networks models, they are composed of training and test performances, respectively. The three types of data such as the historic, the generated, and the mixed data are used for the training performance. The only historic data, however, is used for the testing performance. The application of MLP-NNM and SVM-NNM for the hydrologic disaggregation of nonlinear time series data is evaluated from results of this research. Four kinds of the statistical index for the evaluation are suggested; CC, RMSE, E, and AARE, respectively. Homogeneity test using ANOVA and Mann-Whitney U test, furthermore, is carried out for the observed and calculated monthly PE data. We can construct the credible monthly PE data from the hydrologic disaggregation of the yearly PE data, and the available data for the evaluation of irrigation and drainage networks system can be suggested.

• Proceedings of the Safety Management and Science Conference
• /
• 2009.04a
• /
• pp.423-427
• /
• 2009

This study proposes the generation mechanism of various design matrix using generalized linear model for design of experiment. Design generation method of GLM analysis, factorial design(FD) with center points, ANOVA design with lack-of-fit test, and response surface design are introduced. In central composite(CC) design, orthogonal blocking and fractional factorial design(FFD) are presented. We compare the design of Box-Benhken(BB) and face-centred central compsite design.

• Communications for Statistical Applications and Methods
• /
• v.19 no.1
• /
• pp.183-192
• /
• 2012

This study analyzes the travel behavior for short-term demand forecasting model of KTX. This research suggests the following. First, the outlier criteria is considered to appropriate twice the standard deviation of the traffic. Second, the result of a homogeneity test using ANOVA analysis has been divided into weekdays(Mon Thu and weekends(Fri Sun). Third, a cluster analysis for O/D pairs using trip frequency, traffic averages and th distance between stations was performed.

• Journal of Korean Public Health Nursing
• /
• v.9 no.1
• /
• pp.71-82
• /
• 1995

The purpose of this study is to define the difference in the self-concepts between the public and the private primary school students. The data were collected from March 16 to 20 in 1994. The objects of this study are the 5th graded primary school students, total 193, from the public (94 students) and private (99 students) schools located in Chong Ju city. The tool used for this study is SDQ (Self Description Questionnaire). The SDQ is a multidimensional instrument designed to measure seven aspects self-concept hypothesized in Shavelson's hierarchical model. The collected data were analyzed using descriptive statistics, chi-square test, t-test and 2-way ANOVA. The results of the study are as follows: 1. Between the public students and the private students there were no significant differences in the self-concept. 2. 2-way ANOVA using sex (male vs. female) and type of school (public vs. private) were performed. The boys had substantially higher self-concepts in physical ability and the nonacademic self concept. The girls tended to have higher self-concepts for the academic factors (except for Mathematies). 3. 2-way ANOVA using social stratification (upper vs. lower) and type of school (public vs. private) were performed. The upper classes tended to have higher self-concept for the academic factors. The social stratification and sample interactions were statistically no significant.

• Journal of Hydrogen and New Energy
• /
• v.34 no.6
• /
• pp.712-721
• /
• 2023

While hydrogen is widely used, it has a low minimum ignition energy, raising safety concerns when using it. This research studied which parameters are the key variables in the hydrogen release and diffusion. These parameters were divided into six process variables in the initial release and two environmental variables in the dispersion. One hundred and twenty cases were selected through design of experiment, and the end-point in each case were analyzed using PHAST. Afterwards, an end-point prediction model was developed using RSM and ANOVA, and the impact of each variable on the endpoint was analyzed. As a result, the influence of eight variables was graded. The nozzle diameter had the greatest influence on the end-point, while the pipe roughness coefficient had no effect on the end-point. It is expected that these results will be used as basic data to improve safety across all fields of hydrogen handling facilities.