• Journal of the Korean Society of Clothing and Textiles
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• v.25 no.2
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• pp.315-326
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• 2001

This study is to suggest data for setting school uniform size with the size satisfaction degree through finding out the physical body change and uniform size problems following an increase in age during middle school girl days. For this purpose, by analyzing the physical body size data of 13~15 age of girls among $\ulcorner$human body size data of the youth for product design$\lrcorner$publicized under sponsorship of National Technology Quality Institute in 1999 the physical body size change by part following an increase in age during middle school girl days was found out and the most frequent physical body size by grade was suggested. Questionnaire about uniform production status and product size at the object of uniform makers were measured directly, a school uniform wearing status and size satisfaction degree by part were at the abject of middle school girls were examined by means of questionnaire and unsatisfactory factors in uniform size were found out. Based on collected data the most optimum product size in each part by item were suggested. The method of suggesting the most optimum size suitability by item was decided based on the result of survey into corresponding title and product size by maker and that of survey into the size satisfaction degree of middle school girls by maker, and the product size of maker showing the highest size satisfaction degree was selected as the most optimum product size.

• Communications for Statistical Applications and Methods
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• v.31 no.1
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• pp.55-64
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• 2024

In this study, we consider the sample size determination problem for clustered count data with many zeros. In general, zero-inflated Poisson and binomial models are commonly used for zero-inflated data; however, in real data the assumptions that should be satisfied when using each model might be violated. We calculate the required sample size based on a discrete Weibull regression model that can handle both underdispersed and overdispersed data types. We use the Monte Carlo simulation to compute the required sample size. With our proposed method, a unified model with a low failure risk can be used to cope with the dispersed data type and handle data with many zeros, which appear in groups or clusters sharing a common variation source. A simulation study shows that our proposed method provides accurate results, revealing that the sample size is affected by the distribution skewness, covariance structure of covariates, and amount of zeros. We apply our method to the pancreas disorder length of the stay data collected from Western Australia.

• International Journal of Computer Science & Network Security
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• v.22 no.9
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• pp.327-333
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• 2022

Wireless Sensor Networks (WSNs) plays an important role in our everyday life. WSN is distributed in all the places. Nowadays WSN devices are developing our world as smart and easy to access and user-friendly. The sensor is connected to all the resources based on the uses of devices and the environment [1]. In WSN, Quality of Service is based on time synchronization and scheduling. Scheduling is important in WSN. The schedule is based on time synchronization. Min-Max data size scheduling is used in this proposed work. It is used to reduce the Delay & Energy. In this proposed work, Two-hop neighboring node is used to reduce energy consumption. Data Scheduling is used to identify the shortest path and transmit the data based on weightage. The data size is identified by three size of measurement Min, Max and Medium. The data transmission is based on time, energy, delivery, etc., the data are sent through the first level shortest path, then the data size medium, the second level shortest path is used to send the data, then the data size is small, it should be sent through the third level shortest path.

• Journal of the Korean Data and Information Science Society
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• v.18 no.2
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• pp.411-418
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• 2007

Sample size calculation is very important in clinical trials. In this paper, we propose sample size calculation method for non-inferiority trials using sample size calculation method suggested by Wang et al.(2003) based on Wilcoxon's rank sum test. Also, sample size comparison between parametric method and proposed method are presented.

• Science of Emotion and Sensibility
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• v.20 no.3
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• pp.39-48
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• 2017

In order to verify the effectiveness of marketing in the basketball stadium, this study measured and analyzed the gaze frequency and interest when the pupil was expanded by using the eye-tracking technology among various neuro marketing techniques of marketing. To analyze the section where the pupil size get expanded, interval of pupil size was higher than 2.275% (2 sigma data) and higher than 0.135% high (3 sigma data). Overall the valid data was analyzed by inflection points according to gaze frequency. We also analyzed the correlation between overall valid data and the ranges where the pupil size was significantly increased. The result showed that the correlation between overall valid data and pupil size 2 sigma data showed the highest correlation with 0.805. The pupil size 2 sigma data and pupil size 3 sigma data showed a correlation with 0.781, overall the valid data and pupil size 2 sigma data showed a correlation with 0.683. Therefore, it is concluded that, the section where the pupil size was expanded and the section at which gaze frequency is higher in the eye-tracking data were similar. However, the correlation between data of pupil size is determined to be significantly expanded and overall the valid data is decreased.

• Journal of the Korea Fashion and Costume Design Association
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• v.24 no.3
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• pp.145-158
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• 2022

To grasp the size system of children's clothing online shopping malls, basic size charts for clothing products from 14 shopping malls were collected, compared, and analyzed. Looking at the age range of the basic size chart for each company, the minimum age is 1 year old, the maximum age is 14-15 years old, and all companies included ages up to 7 years. In addition, as for the number of size designations, children's clothing companies used seven to eight designations, and there were six types of size designation methods. Next, looking at the height range for each size, even with the same size designation method, the height range differed depending on the company. Also, the KS size standard does not consider body weight, but many companies use weight as a reference body size. Compared with the child body size data of the 6th Korean Body Size Data, the height and weight range for each size provided by the company showed differences between companies. The results of this study can be used in the future as basic data when revising and supplementing the clothing sizes in children's clothing companies.

• Journal of Nutrition and Health
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• v.27 no.8
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• pp.856-863
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• 1994

To develop a optimized method for educing the errors associated with the estimation of portion size of foods, fuzzy-dta processing of portion size was performed. Cooked-rice was chosen as a food item. The experiment was conducted in two parts. First, to study the conceptions of respondents to bowl size(large, medium, small), 11 bowls of different size and shape were used and measured the actual weights of cooked-rice. Second, to study the conceptions of respondents to volume(1, 1/2, 1/3, 1/4), 16 different volumes of cooked-rice in bowls of same size and shape were used. Respondents for this study were 31 graduate students. After collecting the data of respondents to size and volume, fuzzy sets of size and volume were produced. The critical values were calculated by defuzzification(mean of maximum method, center of area method). The differences of the weights of cooked-rice in various bowl size and volume between the critical values and the calculated values by average portion size using in conventional methods were compared. The results hows large inter-subject variation in conception to bowl size, especially in large size. However, conception of respondents to volume is relatively accurate. Conception to bowl size seems to be influenced by bowl shape. Considering that the new fuzzy set was calculated by cartesian product(bowl size and volume), bowl shape should be considered in estimation of bowl size to make more accurate fuzzy set for cooked-rice portion size. The limitations of this study were discussed. If more accurate data for size and volume of many other food items are collected by the increased number of respondents, reducing the errors associated with the estimation of portion size of foods and rapid processing will be possible by constructing computer processing systems.

• Fashion & Textile Research Journal
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• v.3 no.2
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• pp.140-147
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• 2001

The purpose of this study is to suggest the standard size system of Saenghwal Hanbok for design development and popularization. As a sample, 20's and 40's female data among the 1997's National Somatometry Survey data were used because two groups have different somatic characteristics and design tastes with each other. The results are as follows; From t-test of 35 somatometric items in 20's and 40's female data, we knew that the differentiated size system proper to each age is needed. We also knew that the 38 Saenghwal Hanbok brands don't have consistent size system from investigation of size list and size application. From consideration on the number of size for production and coverage rate, we suggested regression formula by bust circumference and stature, and suggested advanced standard size system which are proper to each 20' and 40' female group.

• Journal of the Ergonomics Society of Korea
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• v.31 no.1
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• pp.237-245
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• 2012

Objective: The aim of the study is to analyze female adult's body shape characteristics and to provide the basic information for clothing manufacturing. Background: The comparative study among the age groups is very fundamental to understand the body characteristics of each subjects group. Therefore, comparison of body measurements in age groups was applied in this study. Method: The study was fulfilled by the comparison between the data of the $5^{th}$ Anthropometry of Size Korea (2004) and the $6^{th}$ Anthropometry of Size Korea(2010). The subjects were 2,213 female adults aged 20~59 of the 5th Size Korea anthropometric survey and 2,025 female adults aged 20~59 of the 6th Size Korea anthropometric survey. Results: The differences indicated the decreased values in widths, depths, girths regarding the torso region and BMI. "Head height to Stature ratio" decreased significantly in the 6th data, on the other hand, "Crotch height to Stature ratio" increased in the 6th data. Through the distribution characteristic of the age groups by Stature groups, it was convinced that 160cm stature group is the most frequent among all age groups of the 6th Size Korea. Conclusion: As a summary, the meaningful differences were showed between the 5th anthropometric data and the 6th data. According to the 6th Size Korea, the distribution tendency of obesity is very similar to the 5th Size Korea data. But the percentage of obese women declined significantly. Application: These findings from the study can be utilized women's wear design and construction that reflect body characteristics.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.10
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• pp.35-42
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• 2020

This study aims to investigate the relationship between the variables of Current Ratio (CR), Return-on-Equity (ROE), Return-on-Assets (ROA), Debt-to-Equity Ratio (DER), and Firm Size (FS) on Dividend Policy (DP) in real estate and property companies listed on the Indonesia Stock Exchange in the period 2016-2019, looking at nine real estate companies in Indonesia. The research methodology uses an explanatory analysis approach and linear regression. Based on the eligibility and homogeneity of the data, the number of sample companies selected was nine companies. The company's financial statement data derived from primary data obtained on the Indonesia Stock Exchange, such as current ratio (CR), return-on-equity (ROE), return-on-assets (ROA), debt-to-equity ratio (DER) and firm size and dividend policy variables. The data analysis procedure is first to transform financial data from the original ratio data into interval data and, then, transform it to ordinal data. Furthermore, the validity and reliability process are ignored because the data is primary. Finally, regression testing is part of the hypothesis testing stage. The results of this study showed that the CR, ROE, and firm size had no positive and significant effect on dividend policy. In contrast, DER and ROA have a positive and significant impact on dividend policy.