• 대한안전경영과학회지
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• 제25권4호
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• pp.1-13
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• 2023

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

• 한국응용과학기술학회지
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• 제39권5호
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• pp.623-631
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• 2022

실험 계획법을 활용하여 세라마이드가 고함량으로 함유된 수화 액정형 베시클의 입자 사이즈에 영향을 미치는 인자를 분석하고 혼합물 조성의 최적화를 시도하였다. 베시클 입자 사이즈에 영향을 주는 주요 변수로 제조 온도, 에탄올 양, 초음파 시간을 각각 정하고, 다구찌 방법의 S/N비 산출과 ANOVA 분석을 통해, 이들 변수들이 입자 사이즈에 미치는 영향을 살펴보았다. 또한 혼합물 실험 계획법의 심플렉스 중심 설계에 따라, 베시클 막을 구성하는 세 지질 성분, 인지질(HPC), 콜레스테롤(Chol), 세라마이드(Cer)의 혼합 조성 실험을 수행하였다. 실험에서 얻어진 데이터로부터 회귀분석을 실시하여 모델식을 구하고, 베시클 입자 사이즈를 최소로 만들기 위한 세 지질 성분의 최적 혼합 조성은 HPC(0.6), Chol(0.1), Cer(0.3)으로 구해졌다.

• 대한전기학회논문지:전기기기및에너지변환시스템부문B
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• 제54권11호
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• pp.505-510
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• 2005

On this study, we optimized maximizing the thrust force at the TFLM(Transverse Flux Linear Motor) using design of experiments by the table of orthogonal array and the analysis of means(ANOM), and classified the most contributive design factor maximizing the thrust force at the TFLM by analysis of variance(ANOVA). From now on, we are going to apply the required technique to design various uses and shapes of the TFLM.

• 한국비블리아학회지
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• 제10권1호
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• pp.93-115
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• 1999

본 연구는 1990년 초부터 현재까지 대학에서 개설되고 있는 모든 교과목을 대상으로 강의 평가를 수행하여 오고있는 H대학을 중심으로 이 대학에서 수행된바 있는 강의평가 분석 내용가운데 1998학년도 평가 결과만을 발췌하여 요약한 것이다. 강의평가 결과는 전체적으로 어떠한 경향을 보이고 있으며, 개별강의 평가결과는 어떠한가? 또 영역별 평가에서는 어떠한 차이를 나타내고 있는가? 등을 구명하기 위하여 7개 영역 10개 항목으로 구성된 설문 내용을 OMR용 카드를 통하여 작성하게 하였다. 강의 만족도에 가장 큰 영향을 미치는 변수를 분석하고 측정도구의 타당성을 검증하기 위하여 T-test와 Anova변량분석, 회귀분석 등의 통계분석 기법을 적용하였다.

• 가족자원경영과 정책
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• 제4권1호
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• pp.15-28
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• 2000

The purpose of this study was to examine the knowledge about savings of customers who utilize Investment Trust Company and to analyze the factors affecting it. The data for the analysis were collected by structured questionnaires and consisted of 191 customers who utilize Investment Trust Company. Descriptive. Descriptive Statistics including percentage, frequency, means, and standard derivation, t-test, one-way ANOVA with Scheffe test, multiple regression analysis were used to analyze the data. The following is a summary of major findings. 1) The customers knowledge about savings showed generally low-level. Especially the knowledge about tax and regulation of savings were the areas shown the lowest level. 2) The age, marital status, education and occupation of customers and total period of utilizing company were the factors affecting the knowledge of customers in the one-way ANOVA analysis. 3) The result of regression analysis indicated that age of customers and total periods of utilizing company were the significant predictors of customers’knowledge. These two variables explained 25.77% of variance of customers’knowledge about savings.

• 한국식품영양학회지
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• 제31권4호
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• pp.565-570
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• 2018

The objective of this study is to analyze the characteristics of persons with a high sugar-intake ratio (%E) and factors affecting sugar-intake ratio with the Korea National Health and Nutrition Examination Survey ($6^{th}$ KNHANES). The sugar-intake ratio is the calories of sugar from processed food divided by the daily total intake of calories. In this research we used two statistical methods, the cluster analysis and one-way analysis of variance (ANOVA). Cluster analysis was used to classify groups of sugar-intake ratios. For analysis of factors affecting the sugar-intake ratio, we applied the ANOVA. Korean have about a 3.89% sugar-intake ratio from processed food per day. The demographic characteristics of people with higher sugar-intake ratios were found to be more women than men, younger men with less education, more people in the household, smaller height, weight waistline and body mass index (BMI). Also office worker, lower drinking frequency, not getting a hypertension, diabetes, hyperlipidemia, lower breakfast and dinnner frequency, not experiencing nutritional education, and not using nutritional labeling. For reducing intake sugar in what are called health-hazardable nutrients in the food sanitation act, it is necessary to educate the people with high sugar ratio who were identified in this study.

• 한국식품영양학회지
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• 제31권3호
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• pp.395-399
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• 2018

The objective of this study is to analyze characteristics of high sodium intaker and factors affecting sodium intake using the Korea National Health and Nutrition Examination Survey (KNHANES). For this study we used two statistical methods, the cluster analysis and one-way analysis of variance (ANOVA). Cluster analysis was used to classify groups of sodium intake. For the analysis of the factors affecting sodium intake, we applied the ANOVA. The average daily intake for Korean is about 3,783 mg sodium per day; this amount is high than recommendation of the WTO. The demographic characteristics of people with higher sodium intake were found to be men more so women, and younger men with a higher education. Height, weight and size of a person's waistline were also characteristics of those with higher sodium intake. Also worker, smoker, those without a hypertension diagnosis, as well as those with a higher the drinking rate and higher eating out frequency tended to have a higher intake of sodium. The Ministry of Food and Drug Safety (MFDS) had established a plan to reduce sodium intake to 3,500 mg per day to 2020. To achieve this goal, it is necessary to educate people about high sodium intake, particularly those at higher risk, according to the results of this study. Through these efforts, the social costs of high sodium intake could be reduced, improving national health.

• Communications for Statistical Applications and Methods
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• 제9권2호
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• pp.315-324
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• 2002

For estimating the error variance under the relative squared error loss in two-way analysis of variance models, we provide a class of hierarchical Bayes estimators and then derive a subclass of the hierarchical Bayes estimators, each member of which dominates the best multiple of the error sum of squares which is known to be minimax. We also identify a subclass of non-minimax hierarchical Bayes estimators.

• 한국자동차공학회논문집
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• 제24권3호
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• pp.273-278
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• 2016

This study makes a relative comparison of the results of tensile test and quasi-static analysis using AGL(Adjuster Guide Loop) model that plays a role in adjusting the height of shoulder belt, of the components of the vehicle seatbelt system and attempts to propose a method of reducing the error rate of the quasi-static analysis technique effectively. This study selects two major factors affecting the result of an analysis, draws the result of analysis through the method of experimental design, one of the statistical techniques and understands the contribution rate of the major factors affecting the result of the analysis through ANOVA(Analysis of Variance).

• Journal of Mechanical Science and Technology
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• 제17권6호
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• pp.816-824
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• 2003

In this study, variations of cutting performance with pulse time, open circuit voltage, wire speed and dielectric fluid pressure were experimentally investigated in Wire Electrical Discharge Machining (WEDM) process. Brass wire with 0.25 mm diameter and AISI 4140 steel with 10 mm thickness were used as tool and work materials in the experiments. The cutting performance outputs considered in this study were surface roughness and cutting speed. It is found experimentally that increasing pulse time, open circuit voltage, wire speed and dielectric fluid pressure increase the surface roughness and cutting speed. The variation of cutting speed and surface roughness with cutting parameters is modeled by using a regression analysis method. Then, for WEDM with multi-cutting performance outputs, an optimization work is performed using this mathematical models. In addition, the importance of the cutting parameters on the cutting performance outputs is determined by using the variance analysis (ANOVA).