• Fashion & Textile Research Journal
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• v.18 no.2
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• pp.176-183
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• 2016

This study examined differences in body mass index (BMI), self-esteem, sociocultural attitude toward appearance, and diet awareness between genders as well as the effect of BMI, self-esteem, and sociocultural attitude toward appearance on diet awareness. This study surveyed adults between the ages of 20 and 29 who lived in Daegu and Uijeongbu from November $17^{th}$ to December $14^{th}$ 2014. Data collected from 258 respondents were analyzed using descriptive statistics, t-test, regression analysis, and ${\chi}^2$ test. The study results showed that the respondents could be divided into three groups (underweight group, standard weight group, and overweight group) by BMI and a large percentage of respondents were in the standard weight group. The percentage of standard weight females was higher than standard weight males. There were significant differences in BMI, sociocultural attitude toward appearance (such as self-awareness), and diet awareness between genders; however, there was no difference in self-esteem. Men also had a higher BMI than women; however, women were more self-aware of sociocultural standards for appearance, desired a slim body and wanted educational information on diet. BMI and sociocultural attitude toward appearance had positive effects on diet awareness. Self-awareness was a strong predictor of diet awareness and self-esteem had no significant effect on diet awareness.

• Journal of the Korean Society of Safety
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• v.23 no.6
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• pp.144-149
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• 2008

The purpose of this study is to present the standard risk index according to work type in the bridge construction without regard to the bridge type. The bridge construction cases were researched on the actual condition. construction accidents were investigated from 1998 to 2005. In this paper, we developed a standard risk index for efficient bridge construction safety system.

• Journal of the Korea Safety Management & Science
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• v.19 no.4
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• pp.221-230
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• 2017

Recently, service quality must reflect several demands of customers who show rapid and various changes so as to be compared with the past. So, objective and rapid methods for them are necessary more. For them, first of all, service company must calculate their standard of service quality accurately by measuring service quality exactly. To measure service quality accurately, this researcher collected and analyzed data by survey for customers who are customers of logistics services, grasped potential satisfaction standard(P) by 5 point Likert scale and one survey for accurate classification of quality attributes through weighted customer satisfaction coefficient changing quality attributes by developing the study on Kano model and Timko's customer satisfaction coefficient, and suggested Potential Customer Satisfaction Improvement index(PCSI) for examining the improvement of customer satisfaction so as to utilize them as an index of differentiated and concrete measurement of service quality.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2002.12a
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• pp.20-21
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• 2002

Recently, Lee[European J. Operational Research 129(2001) 682-688] calculated standard deviation of fuzzy numbers in order to obtain the membership function of the process capacity index (PCI) $C^{pk}$. In this note, we show that his result is not valid.

• KIEE International Transactions on Electrophysics and Applications
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• v.4C no.2
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• pp.45-50
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• 2004

The field utilization factor (equation omitted) (the mean electric field / the maximum electric field) of standard sphere gaps was calculated by the charge simulation method, taking into account the ground plane and shanks. n changes mainly with g/r and slightly with 1$_1$, 1$_2$ and 1, where D=2r is the sphere diameter, g is the gap length, 1$_1$ and 1$_2$, respectively, are the lengths of the upper and lower shank, and t is the shank diameter. Generally, (equation omitted) increases as 1$_1$,1$_2$ and t each becomes larger. IEC standard 60052(2002) limits t$\leq$0.2D 1$_1$$\geq$1D and prescribes A=1$_2$＋D＋g where A is the height of the spark point on the upper sphere. Therefore, (equation omitted) is the largest when A=9D and the smallest when A=3D. The simple equation of a straight line, (equation omitted)=1- (g/3r), can generally be used as a representative value of (equation omitted) for a wide variety of sphere diameters that are permitted by the IEC standard. The maximum electric field E$_{m}$ at sparkover of standard air gaps has also been calculated by the relation E$_{m}$=V/(equation omitted)g). E$_{m}$ describes a U-curve for g/r, up to the sphere diameter of 1 m. Moreover, for 1.5-m and 2-m diameters and especially .for negative polarity, sparkover voltages have been calculated by integration of the ionization index.index.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.42 no.1
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• pp.151-157
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• 2019

This study is about the process capability index (PCI). In this study, we introduce several indices including the index $C_{PR}$ and present the characteristics of the $C_{PR}$ as well as its validity. The difference between the other indices and the $C_{PR}$ is the way we use to estimate the standard deviation. Calculating the index, most indices use sample standard deviation while the index $C_{PR}$ uses range R. The sample standard deviation is generally a better estimator than the range R. But in the case of the panel process, the $C_{PR}$ has more consistency than the other indices at the point of non-conforming ratio which is an important term in quality control. The reason why the $C_{PR}$ using the range has better consistency is explained by introducing the concept of 'flatness ratio'. At least one million cells are present in one panel, so we can't inspect all of them. In estimating the PCI, it is necessary to consider the inspection cost together with the consistency. Even though we want smaller sample size at the point of inspection cost, the small sample size makes the PCI unreliable. There is 'trade off' between the inspection cost and the accuracy of the PCI. Therefore, we should obtain as large a sample size as possible under the allowed inspection cost. In order for $C_{PR}$ to be used throughout the industry, it is necessary to analyze the characteristics of the $C_{PR}$. Because the $C_{PR}$ is a kind of index including subgroup concept, the analysis should be done at the point of sample size of the subgroup. We present numerical analysis results of $C_{PR}$ by the data from the random number generating method. In this study, we also show the difference between the $C_{PR}$ using the range and the $C_P$ which is a representative index using the sample standard deviation. Regression analysis was used for the numerical analysis of the sample data. In addition, residual analysis and equal variance analysis was also conducted.

• Korean Journal of Remote Sensing
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• v.37 no.5_1
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• pp.1199-1206
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• 2021

Accordingly, attention is also being paid to the agricultural use of remote sensing technique that non-destructively and continuously detects the growth and physiological status of crops. However, when remote sensing techniques are used for crop monitoring, it is possible to continuously monitor the abnormality of crops in real time. For this, standard growth information of crops is required and relative growth considering the cultivation environment must be identified. With the relationship between GDD (Growing Degree Days), which is the cumulative temperature related to crop growth obtained from ideal cultivation management, and the vegetation index as standard growth information, compared with the vegetation index observed with the spectralreflectance sensor(SRS_NDVI & SRS_PRI) in each rice paddy treated with standard cultivation management and non-fertilized, it was quantitatively identified as a time series. In the future, it is necessary to accumulate a database targeting various climatic conditions and varieties in the standard cultivation management area to establish a more reliable standard growth information.

• Journal of Nutrition and Health
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• v.30 no.10
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• pp.1170-1179
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• 1997

This study was designed to determine blood glucose responses to some cereals produced in Korea. The levels of blood glucose were measured over 2 hours after feeding healthy vounteers with 50g carbohydrate portions. The glycemic index(GI)k and glycemic index-rice(GI-rice) of a food has been defined as : GI=mean of (blood glucose response area of test food/ blood glucose response area of glucose taken by the same indicidual) $\times$100 and GI-rice=mean of (blood glucose response area of test food/blood glucose response area of rice taken by the same individual) $\times$100. The area under the curve is taken to be the area above the fasting value calculated geometrically from blood glucose increments. The GI of barely to glucose as the standard(57$\pm$7) was significantly (p<0.05) lower than those of other cereals whereas the GI of glutinous rice (110$\pm$8) was significantly (p<0.05) higher than other those of cereals. The GI values to rice as the standard were 63 $\pm$6 for barley, 79$\pm$5 for buckwheat, 85$\pm$6 for foxtail millet, 90$\pm$12 for unpolished rice, 100$\pm$0 for rice, 102$\pm$7 for glutinous rice, 106 $\pm$6 for unpolished glutinous rice, 115$\pm$13 for glutinous millet, 116$\pm$13 fro job's tear, and 122 $\pm$ 4 glutinous sorghum. The mean GI-rice was identical to the mean of the adjusted GI values, with a correlation coefficient of r=0.964(p<0.0001). This finding suggests that white rice could be used as standard food for the determination of GI.

• Journal of Korean Society of Steel Construction
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• v.15 no.2
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• pp.147-157
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• 2003

The application in steel structures is increasing the mill sheet for the weathering steels by minimum maintenance cost in a life cycle cost. These have been collected and statistically analyzed to investigate chemical compositions, mechanical properties, weldability indices, weathering index and impact absorbed energy. From this study, although the band of dispersion in chernical compositions, mechanical properties and impact absorbed energy of the weathering steels appeared a little larger, the results revealed that these values have adequately satisfied the standard values of the Korean Standard. Furthermore, it was found that the weldability indices and the weathering index for the weathering steels have respectively satisfied the value prescribed by the Japanese Highway Specification and ASTM.

• Journal of Korean Society for Quality Management
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• v.34 no.4
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• pp.1-12
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• 2006

The 'KS-QEI' is the quality evaluation model developed both by Korean Standard Association(KSA) and this research team, reflecting the characteristic of KS products' quality and the customers' demand factors. KS-QEI is a general index measuring and announcing KS products' quality excellency through the evaluation of its real user including customers and specialists. This index aimed to evaluate and announce the quality level of KS product annually which was the motivation of products' quality improvement to enterprises and guaranteed the products' reliability to customers. Ultimately, by competing in good faith among domestic enterprises and preparing foundation of continuous research and investment inducement, it was expected to improve the Korean industry's competitive power. This study was intended to develop improved KS-QEI by analysing 2006 research result, to which it had applied ameliorated and enlarged index in 2005. Especially, it established the weight by Analytic Hierarchy Process(AHP), which led to estimate weight mathematically by comparing and evaluating the importance and difficulty by its index. And this paper analyzed the research result by using multi-variate statistical methods.