In this study, data on indication errors within the range of 0 to 10 mm were measured using a dial gauge, which is widely used as a comparative measuring instrument in the field. Using Minitab, a statistical program, measurement conditions were determined during calibration of measuring instruments. Since the P value of the test statistic for the indication error is 0.000 to 0.003, the alternative hypothesis (H1) that no significant difference occurs due to a change in the measurement point at the significance level of 0.05 was adopted.

This study aims to investigate the correlation between the causes of natural disasters and feng shui factors targeting disaster management experts, feng shui experts, and the general public who are interested in feng shui. To this end, it is intended to reveal that the factors of the disaster at Mt. The purpose of this study is to analyze the impact of three factors on disasters: feng shui factors, natural factors, and social factors. To this end, a survey was conducted targeting feng shui experts, disaster management experts, master's and doctoral students in feng shui geography, residents of the Umyeonsan disaster area, and people interested in feng shui geography. 260 copies of the questionnaire were prepared and 248 copies were used for the final analysis. First, in order to analyze the impact of feng shui factors on awareness of disaster occurrence, after controlling for demographic variables, hierarchical multiple regression analysis was conducted to analyze the impact of feng shui factors on awareness of disaster occurrence. Second, as a result of analyzing the effect of natural factors on awareness of disaster occurrence, looking at each independent variable in the second-stage regression analysis. Third, as a result of analyzing the effect of social factors on awareness of disaster occurrence, looking at each independent variable in the second-stage regression analysis. Finally, as a result of the T-test and Anova analysis conducted for discriminant analysis, if the p-value was less than .005, the F value for each group was obtained as a result of the ANOVA analysis on the feng-shui factors

Out-of-roundness is crucial for the proper functioning of individual products or parts in a machine. Mechanical components often consist of circular elements that require precise alignment. These circular parts are used in critical areas of the machine, and the shape characteristics of each component can significantly impact overall performance. In this study, we focus on a specific specimen and use three different methods - the Diameter method, Radius method, and Three-point method - to measure its out-of-roundness. The collected data is then analyzed using one-way ANOVA to propose an effective out-of-roundness measurement technique suitable for industrial settings.

The CMM is the most widely used measuring device in the field. The three-dimensional measurement method is divided into a method of scanning the shape of a product and a touch method. In this study, the accuracy of the dimension and shape of each measurement point touch method was analyzed based on the measured value with the touch method CMM using the inner and outer diameter measurement specimens. Through the experimental results, it was possible to obtain the closest value to the true value at more than 30 measurement points.

In this study, the change in the mold opening stroke of important functional parts according to the 20, 50, 80, and 100% increase in the injection speed of a hydraulic 150 ton hydraulic injection molding machine was studied to verify the accuracy of the injection speed and mold opening stroke and the reproducibility of the standard deviation. The null and alternative hypotheses were confirmed by conducting hypothesis verification according to the experimental condition change using the experimental design method.

본 연구는 등유를 사용하는 농업용 난방기에서 배출되는 가 스를 포집하고, 농업용 난방기의 사용 연식에 따른 이산화탄 소의 배출농도를 파악하고자 수행되었다. 선형 회귀분석의 결과로 농업용 난방기의 연식에 따른 이산화탄소의 배출량은 R2 = 0.84로 y = 26.99x+721.98의 식을 따른다고 나타났다. 농업용 난방기의 사용 연식에 따라 세 그룹으로 분류하여 분 산분석을 수행하였다. 분산분석을 수행한 결과, 분석을 위해 설정한 유의확률 0.05보다 작은 2.1961×10-13으로 나타났으 며 이는 적어도 한 그룹에서 차이가 나타난다는 것을 의미한 다. 본 연구에서는 농업용 난방기의 기본적인 배출농도의 차 이를 분석하고자 기기의 제작사와 상관없이 농업용 난방기의 기기 연식만을 고려하여 배출가스 데이터를 수집하였다. 기 기의 연소 방식에는 제작사에 따라 연소 방식에 차이가 미미 하게 있었을 것으로 판단되며 데이터 변수의 개수가 늘어난다 면, SVR(support vector regression) 기반의 선형회귀 분석 등 을 실시하여 농업용 난방기의 이산화탄소 데이터가 온실가스 발생량 파악에 더욱 활용도가 높아질 것으로 판단된다. 추후 연구에서는 더욱 세분화된 데이터의 수집 방식을 따라 더욱 높은 정확도를 가진 결과값을 도출할 수 있다고 판단된다. 이 처럼 우리나라의 농업 분야에서 용도별 온실가스 발생량을 조 사하기 위하여 고정형 농기계인 농업용 난방기의 이산화탄소 발생량을 정확히 파악하여 온실가스 배출량 조사에 활용할 수 있을 것으로 판단된다.

In this study, measurement errors of the X and Y axes were verified by using an 80-100 mm gauge block, an NPL type angle measuring device, and a spelling on a contact-type 3D measuring device surface plate. In addition, the measurement specimen was repeatedly measured 10 times at 10° intervals from 0° to 40° to confirm the average value and standard deviation. After confirming the statistical test value (P) through ANOVA analysis of the statistical program, the correlation between angle change and error was confirmed.

Due to the development of the industry, the importance of injection molded products is increasing in the fields of electricity, electricity, automobiles, etc. Through this experiment, the weight change of molded products according to the injection speed change during injection molding was investigated. As a result of the experiment, a statistical program was used to confirm that the pi control method produced about 69.2% more weight deviation than the dpi method and to adopt the null hypothesis that the p-value was less than 0.05 Injection speed affected the molded product.

본 연구는 시설원예단지의 경관개선점을 찾아보고 친환경적 조성방법과 생태계 서비스 기능이 최소화로 저감될 수 있는 방안제시를 목표로 했다. 연구결과 대부분의 평가요소에서 네덜란드, 일본 경관은 긍정적인 결과였으나 우리나라 경관은 다소 부정적으로 분석되어 비닐하우스는 일본을 유리온실은 네덜란드 경관으로 개선방향을 설정할 것을 제안하였다. 따라서 미래세대에 지속가능한 농업경관을 제공하기 위한 방안으로 생태계서비스 기능 중 경관창출을 고려한 친환경 온실단지 조성을 제안을 제안하였으며, 앞으로 추진될 대규모 간척지 개발 사업에도 본 연구가 활용되길 기대하였다.

This study is aimed to measure the physical colorimetric property according to three conditions, natural dyestuffs (Gardenia, Sappan wood, Lac, Gardenia blue, Mugwort, and Indigo), fabric types (cotton, silk), and presence of mordant (without, with), and then to evaluate the psychological sensibility. Also, to perform analysis of variance (ANOVA) to find out the differences of physical properties according to the three natural dyeing conditions, and to analyze the relationship between physical property and psychological property by Pearson's correlation analysis and then suggest the prediction model by regression analysis using SPSS program (ver. 21.0). Finally, to propose a certain sensibility image map of naturally dyed fabrics, MDS (Multidimensional Scaling) was used, and as a result, Gardenia dyed fabrics having the color sensibilities such as 'hard' and 'heavy' were suggested to evoke masculine image, and to evoke feminine image, Sappan wood and Lac having 'bright', 'transparent', 'soft' and 'light' sensibilities were suggested. Natural image might be induced by using 'subdued' Mugwort dyed fabrics, and active image might be induced by using 'showy' Indigo dyed fabric.

Customization systems have incarnated the notion of co-creation and provided a wide variety of customized products which fit individual customers’ needs. However, most customized fashion items are no more than modified products based upon existing products and, therefore, satisfy only expressed needs. In contrast, mass-production systems can offer more innovative fashion items satisfying latent needs, though they may not fit individual needs in detail. To investigate the relationship between the type of market orientation (responsive vs. proactive market orientation) and the type of production system (mass-production vs. customization systems), we conduct a consumer survey regarding four types of fashion items (sneakers, business shirts, belts, and underwear). The results of ANOVA showed that fashion categories in which customers have the needs for responsive market orientation have much potential for developing customized products, whereas fashion categories in which customers have the needs for responsive market orientation have less potential for providing customized products. The results also showed that fashion categories in which customers have the needs for proactive market orientation have much potential for providing new, innovative (mass-produced) products, whereas fashion categories in which consumers have proactive market orientation have less potential for providing new, innovative (mass-produced) products. Firms should emphasize on the responsive market orientation if their customers perceive much potential for developing a customization system in the category; firms should emphasize on the proactive market orientation if customers perceive much potential for offering new, innovative products under the previous mass-production system. If there are potentials for developing both innovative mass-produced products and customized products, firms need ambidextrous market orientation.

In this paper, we have considered the modeling and analyses of categorical data. We modeled binary data with categorical predictors, using logistic regression to develop a statistical method. We found that ANOVA-type analyses often performed unsatisfactory, even when using arcsine-square-root transformations. We concluded that such methods are not appropriate, especially in cases where the fractions were close to 0 or 1. The logistic transformation of fraction data could be a promising alternative, but it is not desirable in the statistical sense. The major purpose of this paper is to demonstrate that logistic regression with an ANOVA-model like parameterization aids our understanding and provides a somewhat different, but sound, statistical background. We examined a simple real-world example to show that we can efficiently test the significance of regression parameters, look for interactions, estimate confidence intervals, and calculate the difference between the mean values of the referent and experimental subgroups. This paper demonstrates that precise confidence interval estimates can be obtained using the proposed ANOVA-model like approach. The method discussed here can be extended to any type of fraction data analysis, particularly for experimental design.

The research presents an application of Balanced ANOVA (BANOVA) by utilizing randomized orders for various Split-Plot Designs (SPDs) which include two cell designs, split-plot with one-way HTC (Hard to Control) factor, split-plot with two-way HTC factor, split-split-plot design and nested design. In addition, four MINITAB examples of 2-level split-plot designs based on the number of blocks and the type of whole-plots are presented for practitioners to obtain comprehensive understanding. Furthermore, the geometrical interrelated properties among three typical Designs of Experiments (DOE), such as Factorial Design (FD), Response Surface Design (RSD), and Mixture Design (MD) are discussed in this paper.

The research proposes the three-factor random measurement models for estimating the precision about operator, part, tool, and various measurement environments. The combined model with crossed and nested factors is developed to analyze the approximate F test by degrees of freedom given by Satterthwaite and point estimation of precisions from expected mean square. The model developed in this paper can be extended to the three useful models according to the type of nested designs. The study also provides the three-step procedures to evaluate the measurement precisions using three indexes such as SNR(Signal-To-Noise Ratio), R&R TR(Reproducibility&Repeatability-To-Total Precision Ratio), and PTR(Precision-To-Tolerance Ratio), The procedures include the identification of resolution, the improvement of R&R reduction, and the evaluation of precision effect.

The quantity of the fuel gas consumed is trending upwards because it can be easily delivered but isn't deteriorated and doesn't have any environmental pollution. Though there are many advantages to use the fuel gas, it can be hesitated to consume more gas because of its explosiveness and combustibility. So paying more attentions to prevent the fuel gas accidents is required. In this paper, we examine the present situation data about the fuel gas accidents and analyze them statistically using ANOVA. we confirm that there is an acceptable difference between the mean values of accidents classified by the kind of gas, the cause, the type and the place but isn't by month. It is expected that our result can be applied as preliminary data when mapping out a strategy for preventing the fuel gas accidents.

해양사고를 감소시키기 위한 노력에도 불구하고, 해양사고는 증가하는 추세이다. 해양사고는 선박, 인적 그리고 자연조건의 3개 조건으로 분류할 수 있다. 본 연구에서는 1997년부터 2006년 사이의 해양사고의 자료를 이용하여 해양사고를 조건 별로 분석하였고, SPSS의 분산분석기법을 사용하여 그 차이의 통계적 의미를 분석해 보았다. 항목별로 일원배치 분산분석의 결과 시간대에서는 20~04 시간대와 그 외 시간대와는 집단간에 유의한 차이를 보였다. 속력에서는 5~10 노트 대에서, 초인거리는 1 마일 이하에서 유의한 차이를 보여 해양사고의 예방을 위해 위에 열거한 시간대, 속력 그리고 초인거리에 유의하여야 할 것으로 판단되었다.

  Nowadays, many people are deeply interested in health and well-being. Ministry of Health and Welfare showed the results of evaluation of medical service of seventy eight general hospitals in 2005. The number of its medical service variables was eighteen

국내에 분포하는 느티나무의 표현형의 변이를 확인하기 위하여 자생지 6곳을 대상으로 35가지 형태적 특징을 조사하였다. 분산분석 수행결과 20가지 정량적형질 중 16가지 형질이 집단간에 유의한 차이를 나타내는 것으로 확인되었다. 특히, '청주시 것대산' 집단이 20가지 정량적형질 중 9가지에서 최대값을 나타내었다. 주성분 분석 결과 측정항목들이 집단 간 차이를 나타내는데 적절하지 못함이 확인되었다. 군집분석을 수행한 결과 '남해군 미조리상록수림' 집단과 '양평군 용문산' 집단이 가장 가까운 그룹을 이루었으며, '청주시 것대산' 집단, '보은군 속리산' 집단, '대구광역시 팔공산' 집단, '함양군 상림' 집단 순으로 군집되었다.