• Journal of the Korean Home Economics Association
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• v.23 no.4
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• pp.19-31
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• 1985

This study was designed to find out clothing weights and clothing practice of elementary school children and their mothers and to investigate the correlation between clothing weights of the children and those of their mothers and to investigate the correlation between clothing weights and physical fitness of the children. RESULTS : 1. Total clothing weight of elementary school children was heavier than that of their mothers. 2. The results analyzed by sex and age of the children were as follows. Correlation was little recognized between lowerwear, underwear weights of the 6 year old girls and underwear weight of their mothers and between upperwear weight of 10 year old girls and underwear weight of their mothers. 3. In case of the children who made a clothing decision with their mothersm, correlation was recognized between total clothing weight of the children and total clothing, underwear, lowerwear weights of their mothers, and between upperwear weight of the children and upperwear weight of the children and upperwear, total clothing, underwear and outerwear weights of their mothers, and between outerwear weight of the children and lowerwear weight of their mothers. 4. Physical fitness had partly a negative correlation with the clothing weights in case of the boys, while not the girls. As a reslult, clothing weights of elementary school children were related to thermal sensation of their mothers.

• Journal of the Korean Home Economics Association
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• v.35 no.4
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• pp.139-148
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• 1997

The rates of subcutaneos fat on the system of clothing weights including clothing microclimate subjective sensations were measured to get basic data to develop guideline for healthy clothing life. for this study skinfold thickness the rate of subcutaneos fot clothing microclimate subjective sensations and clothing weights were measured from 85 male and 105 female colligians. The results were as follows: 1. The rate of subcutaneos fat showed negative correlation with the temperature inside clothing in chest but not with the temperatures in back and thigh. The correlation was not significant between the rate of subcutaneos fat and humidity inside clothing 2. The correlation between the rate of subcutaneos fat and thermal sensations was positively significant at 5% level. However no correlation was found between the rate of subcutaneos fat and humid sensations. 3. There was significant correlation between the rate of subcutaneos fat and under clothing weights and total clothing weights.

• Asian-Australasian Journal of Animal Sciences
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• v.12 no.6
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• pp.854-861
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• 1999

Seventeen pregnant ewes (8 superovulated and 9 non-superovulated) were used to study correlations of maternal serum progesterone concentrations with uterine and fatal weights at weeks 7 and 15 of pregnancy. Statistical analyses indicated that uterine growth during the first 7 weeks of pregnancy highly associated with maternal serum progesterone concentration (r=0.87 and 0.85, with wet and dry uterine weights, respectively). Ewes with higher maternal serum progesterone concentrations had higher total and average fetal weights at week 7 of pregnancy (r=0.89 and 0.86, respectively). At week 7 of pregnancy, wet and dry uterine weights highly correlated (p<0.01) with total and average fatal weights (r=0.99 and 0.80, 0.98 and 0.75, respectively). Maternal serum progesterone concentrations, however, did not correlate (p>0.05) with wet and dry uterine weights (r=0.36 and 0.47, respectively) and with total and average fetal weights (r=0.20 and 0.58, respectively) at week 15 of pregnancy. However, wet and dry uterine weights had high correlation with total fetal weight (r=0.97 and 0.95, respectively), without significant correlation with average fetal weight. It was concluded that during the embryonic stage of pregnancy, the levels of maternal progesterone were highly correlated with uterine and fetal growths, while during the fetal stage pregnancy, the correlation became less evident.

• Journal of Multimedia Information System
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• v.9 no.3
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• pp.177-182
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• 2022

A deep neural network (DNN) includes variables whose values keep on changing with the training process until it reaches the final point of convergence. These variables are the co-efficient of a polynomial expression to relate to the feature extraction process. In general, DNNs work in multiple 'dimensions' depending upon the number of channels and batches accounted for training. However, after the execution of feature extraction and before entering the SoftMax or other classifier, there is a conversion of features from multiple N-dimensions to a single vector form, where 'N' represents the number of activation channels. This usually happens in a Fully connected layer (FCL) or a dense layer. This reduced 2D feature is the subject of study for our analysis. For this, we have used the FCL, so the trained weights of this FCL will be used for the weight-class correlation analysis. The popular DNN models selected for our study are ResNet-101, VGG-19, and GoogleNet. These models' weights are directly used for fine-tuning (with all trained weights initially transferred) and scratch trained (with no weights transferred). Then the comparison is done by plotting the graph of feature distribution and the final FCL weights.

• Survey Research
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• v.7 no.2
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• pp.53-69
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• 2006

Weights can be made and imposed in both sample design stage and analysis stage in a sample survey. While in design stage weights are related with sample data acquisition quantities such as sample selection probability and response rate, in analysis stage weights are connected with external quantities, for instance population quantities and some auxiliary information. The final weight is the product of all weights in both stage. In the present paper, we focus on the weight in analysis stage and investigate the effect of such weights imposed on the weighted mean when estimating the population mean. We consider a finite population with a pair of fixed survey value and weight in each unit, and suppose equal selection probability designs. Under the condition we derive the formulas of the bias as well as mean square error of the weighted mean and show that the weighted mean is biased and the direction and amount of the bias can be explained by the correlation between survey variate and weight: if the correlation coefficient is positive, then the weighted mein over-estimates the population mean, on the other hand, if negative, then under-estimates. Also the magnitude of bias is getting larger when the correlation coefficient is getting greater. In addition to theoretical derivation about the weighted mean, we conduct a simulation study to show quantities of the bias and mean square errors numerically. In the simulation, nine weights having correlation coefficient with survey variate from -0.2 to 0.6 are generated and four sample sizes from 100 to 400 are considered and then biases and mean square errors are calculated in each case. As a result, in the case or 400 sample size and 0.55 correlation coefficient, the amount or squared bias of the weighted mean occupies up to 82% among mean square error, which says the weighted mean might be biased very seriously in some cases.

• Journal of Preventive Medicine and Public Health
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• v.37 no.1
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• pp.59-71
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• 2004

Objectives: This study aimed to measure the disability weights for the Korean Burden of Disease study, and to compare them with those adopted in the Australian study to examine the validity and describe the distinctive features. Methods : The standardized valuation protocol was developed from the Global Burden of Disease (GBD) study and the Dutch Disability Weights study. Disability weights were measured for 123 diseases of the Korean version of Disease Classification by three panels of 10 medical doctors each. Then, overall distribution, correlation coefficients, difference by each disease, and mean of differences by disease group were analyzed for comparison of disability weights between the Korean and Australian studies. Results : Korean disability weights ranged from 0.037 to 0.927. While the rank correlation coefficient was moderate to high ($r_s$=0.68), Korean disability weights were higher than the corresponding Australian ones in 79.7% of the 118 diseases. Of these, war, leprosy, and most injuries showed the biggest differences. On the contrary, many infectious and parasitic diseases comprised the greater part of diseases of which Korean disability weights were lower. The mean of the differ ences was the highest in injuries of GBD disease groups, and in cardiovascular disease, injuries, and malignant neoplasm of the Korean disease category. Conclusions : Korean disability weights were found to be valid on the basis of overall distribution pattern and correlation, and are expected to be used as basic data for broadening the scope of burden of disease study. However, some distinctive features still remain to be explored in following studies.

• Journal of the Korean Society of Clothing and Textiles
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• v.7 no.1
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• pp.37-43
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• 1983

The objective of the study is to obtain the basic data to establish the standard value of proper clothing weights in the change of thermal environment. For the purpose of this research, clothing weight and thermal sensation have been collected from 160 college student in Seoul and Kwangju area in April, July, October. Results are as follows : 1. Subjects were in Comfortable condition, particularly in Spring and Autumn. But in summer they were in warm condition and the case were reversed in winter when they were under cool condition. 2. The frequency of comfortable thermal sensation were low below 16.5 degree, above 27.5 degree, and were high between 16.5 degree and 23 degree on room temperature. 3. Generally, the positive correlation were found between clothing weights and thermal sensation. 4. Clothing weights and thermal comfort were as follows. Season : Spring, Autumn, Room Temperature(${\circ}C$) : 16.3$\~$23, Clothing Weights($g/m^2$) : 589.9$\~$750.6, Season : Summer Room Temperature(${\circ}C$) : 27$\~$32, Clothing Weights($g/m^2$) : 362.4$\~$432.5, Season : Winter, Room Temperature(${\circ}C$) : 12.5$\~$19.3, Clothing Weights($g/m^2$) : 913.7$\~$1206.2

• Korean Parent-Child Health Journal
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• v.5 no.1
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• pp.75-89
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• 2002

This study was conducted to compare the emotional state between the mothers with low-birth-weights and mothers with normal infants, and to analyze the effects of home visiting for the low-birth-weights in one city. Data were collected from 51 mothers with low-birth-weights and 90 mothers with normal infants to compare emotional state, and from 26 mothers with low-birth weights to evaluate the effect of home visiting care. Summaries of results were as follows; 1. In mothers with low-birth-weights, social support form others was significantly lower than those of mothers with normal infants. Although the differences were not significant, mothers with low-birth-weights have more stress and child rearing burden, and less maternal self-esteem than those of mothers with normal infants. 2. Mothers with low-birth-weights, the more burden, postpartum depression, and the less husbands' support they felt. When they had lower maternal self-esteem and lower husbands' support, child rearing burden was higher. Also there was significant negative correlation between maternal self-esteem and postpartum depression. 3. In mothers with low-birth-weights, the score of post-intervention stress, care-giving burden, and postpartum depression were somewhat decreased, and maternal self-esteem was increased than pre-intervention data, although they were not statistically significant. 4. Mothers' satisfaction on the home-visiting care was considered to be high. In summary, mothers with low-birth-weights had lower social support even though they experienced more stress than mothers with normal infants. Therefore, public health nurse in community should pay more attention to them.

• Journal of Preventive Medicine and Public Health
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• v.56 no.4
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• pp.291-302
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• 2023

Objectives: Disability weights require regular updates, as they are influenced by both diseases and societal perceptions. Consequently, it is necessary to develop an up-to-date list of the causes of diseases and establish a survey panel for estimating disability weights. Accordingly, this study was conducted to calculate, assess, modify, and validate disability weights suitable for Korea, accounting for its cultural and social characteristics. Methods: The 380 causes of disease used in the survey were derived from the 2019 Global Burden of Disease Collaborative Network and from 2019 and 2020 Korean studies on disability weights for causes of disease. Disability weights were reanalyzed by integrating the findings of an earlier survey on disability weights in Korea with those of the additional survey conducted in this study. The responses were transformed into paired comparisons and analyzed using probit regression analysis. Coefficients for the causes of disease were converted into predicted probabilities, and disability weights in 2 models (model 1 and 2) were rescaled using a normal distribution and the natural logarithm, respectively. Results: The mean values for the 380 causes of disease in models 1 and 2 were 0.488 and 0.369, respectively. Both models exhibited the same order of disability weights. The disability weights for the 300 causes of disease present in both the current and 2019 studies demonstrated a Pearson correlation coefficient of 0.994 (p=0.001 for both models). This study presents a detailed add-on approach for calculating disability weights. Conclusions: This method can be employed in other countries to obtain timely disability weight estimations.

• Communications for Statistical Applications and Methods
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• v.26 no.3
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• pp.305-313
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• 2019

Generalized canonical correlation analysis (GCCA) extends the canonical correlation analysis (CCA) to the case of more than two sets of variables and there have been many studies on how two-set canonical solutions can be generalized. In this paper, we derive certain stationary equations which can lead the higher-order solutions of several GCCA methods and suggest a type of iterative procedure to obtain the canonical coefficients. In addition, with some numerical examples we present the methods for graphical display, which are useful to interpret the GCCA results obtained.