• Journal of the Korean Society of Clothing and Textiles
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• v.23 no.4
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• pp.517-528
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• 1999

The purpose of this study was to obtain the basic data on clothing habits for health promotion through the investigation of clothing weight by month and season. Thirty six subjects (18 males and females twenties) were composed to obtain the clothing weight(Total clothing weight) for a year. And then clothing weight was grouped in to four seasons : spring(Mar-May) Summer(Jun-Aug) Fall(Sep-Nov) and Winter(Dec-Feb). The data of males and females were respectively divided into three groups by cluster analysis with clothing weight. 1. The clothing weight of male and female were the heaviest in jan, that of male were smallest in July female in Aug. 2. The clothing weight mean of male(996g/m2) were heavier than that of female(894g/m2) for year. The seasonal clothing weight of male culminated in Winter(1179g/m2) and decreased respectively : Spring (973g/m2) Fall(879g/m2) and summer(559g/m2) The seasonal clothing weight of female culminated in Winter (1068g/m2) and decreased respectively ; Fall(865g/m2) Spring(835g/m2) and summer(479g/m2). The seasonal clothing weight variations were significantly different in each season(p<0.01) but they were insignificantly different between Spring and Fall. middle and light. There was individual differences in the clothing weight especially large in Winter and Spring and small in Summer and Fall. 4. Lower inner clothing weight was the lowest fluctuant all around year upper outer clothing weight was the most fluctuant. So he/she controled upper outer clothing to deal with thermal environment. He/she pretended natural textiles such as cotton and wool to synthetic textiles.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.14 no.2
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• pp.150-155
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• 2014

The measurement of $17{\alpha}$-hydroxyprogesterone ($17{\alpha}$-OHP) in a dried blood spot on filter paper is an important for screening of congenital adrenal hyperplasia (CAH). Since high levels of $17{\alpha}$-OHP are frequently observed in premature infants without congenital adrenal hyperplasia, we evaluated cuts-off based on birth weight and performed validation. Birth weight and $17{\alpha}$-OHP concentration data of 292,204 newborn screening subjects in Greencross labopratories were analyzed. The cut-off values based on birth weight were newly evaluated and validated with the original data. The mean $17{\alpha}$-OHP concentration were 7.25 ng/mL in very low birth weight (VLBW) group, 4.02 ng/mL in low birth weight (LBW) group, 2.53 g/mL in normal birth weight (NBW) group, and 2.24 ng/mL in heavy birth weight (HBW) group. The cut-offs for CAH were decided as follows: 21.12 ng/mL for VLBW and LBW groups and 11.14 ng/mL for NBW and HBW groups. When applied new cut-offs for original data, positive rates in VLBW and LBW groups were decreased and positive rates in NBW and HBW groups were increased. The cut-offs based on birth weight should be used in the screening for CAH. We believe that our new cut-off reduce the false positive rate and false negative rate and our experience for cut-off set up and validation will be helpful for other laboratories doing newborn screening test.

• Journal of Biosystems Engineering
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• v.18 no.4
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• pp.358-370
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• 1993

In Korea, fruit grading has been mainly done manually, and manual grading depends on human sense. Thus it is subjected to human error and is not always as consistent as would be desired. Therefore, a study on the development of fruit grader was initiated to improve the consistency of fruit grading. The sensitivity for fruit weight of the conventional spring type weight grader has a tendency to decrease by physical characteristics of spring which is used as a weight sensing unit. This study was carried out to develop weight measuring device for establishing the base of weight sensing unit of electronic weight grader. This device consists of a weight sensor using load cell, data acquisition system, and a microcomputer containing program to calculate fruit weight. The weight measuring device using load cell was developed to increase sensitivity of fruit weight. The result of this study showed that the weight sensing unit of electronic weight grader contributed to the improvement of performance of weight measuring device.

• Journal of KIISE
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• v.44 no.8
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• pp.842-853
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• 2017

Streaming data is a sequence of data samples that are consistently generated over time. The data distribution or concept can change over time, and this change becomes a factor to reduce the performance of a classification model. Adaptive incremental learning can maintain the classification performance by updating the current classification model with the weight adjusted according to the degree of concept drift. However, selecting the proper weight value depending on the degree of concept drift is difficult. In this paper, we propose a dynamic ensemble method based on adaptive weight adjustment according to the degree of concept drift. Experimental results demonstrate that the proposed method shows higher performance than the other compared methods.

• Journal of the Korea Society of Computer and Information
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• v.13 no.1
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• pp.153-160
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• 2008

This paper shows the maximum data flow utilizing the Weight Bipartite Graph Matching system. The Weight Bipartite Graph Matching system sets the data transmission as edges and guides the maximum data flow on the set server and the client. The proposed Weight Bipartite Graph Matching system implements the multi-user interface video conference system. By sending max data to the server and having the client receive the max data, the non-continuance of the motion image frame, the bottleneck phenomenon, and the broken images are prevented due to the excellent capacity. The experiment shows a two-times better excellency than that of the previous flow control.

• Journal of Preventive Medicine and Public Health
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• v.56 no.1
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• pp.59-66
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• 2023

Objectives: The aim of this study was to evaluate the effect of body weight status and sleep duration on the discrete-time hazard of menarche in Korean schoolgirls using multiple-point prospective panel data. Methods: The study included 914 girls in the 2010 Korean Children and Youth Panel Study who were in the elementary first-grader panel from 2010 until 2016. We used a Gompertz regression model to estimate the effects of weight status based on age-specific and sex-specific body mass index (BMI) percentile and sleep duration on an early schoolchild's conditional probability of menarche during a given time interval using general health condition and annual household income as covariates. Results: Gompertz regression of time to menarche data collected from the Korean Children and Youth Panel Study 2010 suggested that being overweight or sleeping less than the recommended duration was related to an increased hazard of menarche compared to being average weight and sleeping 9 hours to 11 hours, by 1.63 times and 1.38 times, respectively, while other covariates were fixed. In contrast, being underweight was associated with a 66% lower discrete-time hazard of menarche. Conclusions: Weight status based on BMI percentiles and sleep duration in the early school years affect the hazard of menarche.

• Korean Journal of Applied Biomechanics
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• v.15 no.3
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• pp.143-152
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• 2005

The purpose of this study was to predict the failure or success of the Snatch-lifting trial as a consequence of the stand-up phase simulated in Kane's equation of motion that was effective for the dynamic analysis of multi-segment. This experiment was a case study in which one male athlete (age: 23yrs, height: 154.4cm, weight: 64.5kg) from K University was selected The system of a simulation included a multi-segment system that had one degree of freedom and one generalized coordinate for the shank segment angle. The reference frame was fixed by the Nonlinear Trans formation (NLT) method in order to set up a fixed Cartesian coordinate system in space. A weightlifter lifted a 90kg-barbell that was 75% of subject's maximum lifting capability (120kg). For this study, six cameras (Qualisys Proreflex MCU240s) and two force-plates (Kistler 9286AAs) were used for collecting data. The motion tracks of 11 land markers were attached on the major joints of the body and barbell. The sampling rates of cameras and force-plates were set up 100Hz and 1000Hz, respectively. Data were processed via the Qualisys Track manager (QTM) software. Landmark positions and force-plate amplitudes were simultaneously integrated by Qualisys system The coordinate data were filtered using a fourth-order Butterworth low pass filtering with an estimated optimum cut-off frequency of 9Hz calculated with Andrew & Yu's formula. The input data of the model were derived from experimental data processed in Matlab6.5 and the solution of a model made in Kane's method was solved in Matematica5.0. The conclusions were as follows; 1. The torque motor of the shank with 246Nm from this experiment could lift a maximum barbell weight (158.98kg) which was about 246 times as much as subject's body weight (64.5kg). 2. The torque motor with 166.5 Nm, simulated by angular displacement of the shank matched to the experimental result, could lift a maximum barbell weight (90kg) which was about 1.4 times as much as subject's body weight (64.5kg). 3. Comparing subject's maximum barbell weight (120kg) with a modeling maximum barbell weight (155.51kg) and with an experimental maximum barbell weight (90kg), the differences between these were about +35.7kg and -30kg. These results strongly suggest that if the maximum barbell weight is decided, coaches will be able to provide further knowledge and information to weightlifters for the performance improvement and then prevent injuries from training of weightlifters. It hopes to apply Kane's method to other sports skill as well as weightlifting to simulate its motion in the future study.

• Asian-Australasian Journal of Animal Sciences
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• v.8 no.3
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• pp.295-300
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• 1995

Data from purebred and crossbred cattle involving Holstein and the Local breed in Bangladesh were used to estimate the genetic effects on average daily milk yield and birth weight A total of 877 records on average daily milk yield for 4 types of breed groups and a total of 418 records on birth weight for 5 breed groups were analyzed. Two different methods were applied in this study; the least squares analysis of variance approach and the linear regression approach. Breed group effects were highly significant for both average daily milk yield and birth weight. The result showed that straightbred Holstein produced the highest milk yield and the 7/8 crosses ranked highest in birth weight For the two traits, the additive breed effect was highly significant, whereas the individual heterosis effect was not significant. Furthermore, this study showed a negative maternal heterosis for average daily milk yields and a positive maternal heterosis for birth weight Comparing the breed least squares means obtained from the linear regression approach revealed that straightbred Holstein produced the highest average milk yield and the 3/4 crosses were predicted to have the largest birth weight. It is indicated that the linear regression approach can adequately separate the genetic component of performance, estimate unknown crossbreeding parameters and predict unknown performance of crosses which are not include in the original data.

• The Korean Journal of Community Living Science
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• v.25 no.4
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• pp.473-486
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• 2014

This study examines the relationships between dietary self-efficacy, social support, depression, and weight-control behavior of children and adolescents. A total of 593 students (280 children and 313 adolescents) from schools in Seoul, Gyeonggi-do, Jeollabuk-do, and Daegu were surveyed using scales for dietary self-efficacy, social support, depression, and weight-control behavior. The data were analyzed through a frequency analysis, means and standard deviations, a t-test, a one-way ANOVA, the Tukey test, the Pearson's correlation, and a stepwise multiple regression analysis. According to the results, weight-control behavior was more likely in girls than boys, high-school students than elementary-school students, and obese/overweight students than normal/underweight students. The factors influencing children's weight-control behavior were general eating habits, the BMI, depression, food choice, and family support, in that order, and those influencing adolescents' weight-control behavior were general eating habits, gender, and the BMI, in that order. These results are expected to be useful as basic data for developing weight-control programs for children and adolescents.

• Journal of Korean Academy of Fundamentals of Nursing
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• v.13 no.3
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• pp.485-492
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• 2006

Purpose: The purpose of this study was to identify body satisfaction and weight loss experience according to individual's discrepancy between obesity by BMI (body mass index) and self-assessment. Method: The data were obtained by measuring height, weight and using a questionnaire to obtain data on self-assessment of obesity, body satisfaction and weight loss experience. The participants were 286 women college students in J city, Chungbuk. Results: The mean BMI of the women college student was $21.4{\pm}2.93kg/m^2$ which is within the normal range. The concordance rates between obesity by BMI and self-assessment were 54.1%, 39.9%, 61.5%, 78.6% (Kappa=.29) in underweight, normal, overweight, obese students respectively. Forty seven percent of students who were not obese (BMI $<23kg/m^2$) assessed themselves as obese. The mean body satisfaction of college students was very low and 64.3% of the students had a weight loss experience. The students who perceived themselves to be 'obese' even when their BMI was under $23kg/m^2$ reported lower body satisfaction and higher weight loss experience than other students. Conclusion: There were significant discrepancies between obesity by BMI and self-assessment in women college students. The self-assessment of obesity had a greater effect on body satisfaction and weight loss experience than actual BMI in women college students.