• 한국의류산업학회지
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• 제18권2호
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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.

• 한국안전학회지
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• 제23권6호
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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.

• 대한안전경영과학회지
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• 제19권4호
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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.

• 한국지능시스템학회:학술대회논문집
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• 한국퍼지및지능시스템학회 2002년도 추계학술대회 및 정기총회
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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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• 제4C권2호
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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.

• 산업경영시스템학회지
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• 제42권1호
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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.

• 대한원격탐사학회지
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• 제37권5_1호
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• pp.1199-1206
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• 2021

원격탐사 기술을 이용하면 작물의 생육·생리 상태를 비파괴적이고 연속적으로 탐지할 수 있어 그 농업적 활용 가치가 크다. 원격탐사 기반 센서를 농장에 설치하여 스마트팜 시스템에 활용하면, 작물의 이상 여부를 실시간으로 연속해서 감시하여 농업정보(Agro-information)를 생산할 수 있다. 하지만, 작물은 동적으로 변하는 생물이므로, 관측 물리량이 작물의 이상 상태를 나타내는 것인지 생육단계에 따른 생육 변화를 나타내는 것인지 판단하기는 쉽지 않다. 따라서, 작물의 표준 생육정보(Standard growth information) 와 비교한 상대적인 생육을 파악해야 한다. 이상적인 재배관리에서 획득한 작물 생육관련 누적기온인 GDD (Growing Degree Days)와 식생지수의 관계를 표준 생육정보로 두고, 표준 재배관리 시행 논과 무비료처리한 논 각각에서 분광반사측정 센서로 관측된 식생지수(NDVI, Normalized Difference Vegetation Index; CCI, Chlorophyll/Carotenoid Index)와 비교해 작물 상태를 파악했다. 영양생장기 동안에는 생육 정도에 따라 NDVI의 차이가 나타났으며, 식물 스트레스에 따라 CCI가 반응했다. 벼가 익는 동안은 NDVI와 CCI 모두 감소하지만, 표준 생육에서 노화에 따른 그 감소 폭이 더 컸다. 향후 공학적 관측 기법과 농학적 해석 방법을 융합하여 유용한 농업정보를 생산하기 위해 다양한 기후조건과 품종을 대상으로 표준 생육정보 데이터베이스 구축이 필요하겠다.

• Journal of Nutrition and Health
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• 제30권10호
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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.

• 한국강구조학회 논문집
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• 제15권2호
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• pp.147-157
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• 2003

최소유지관리의 LCC관점에서 강구조물에의 적용이 증가하고 있는 내후성강재를 대상으로 Mill Sheet를 수집하고 이를 통계적으로 분석하여 화학성분, 기계적성질, 용접성지수, Weathering Index 및 충격흡수에너지에 대해 정량적으로 조사하였다. 본 연구결과 국내에서 생산되고 있는 내후성강재의 화학성분, 기계적 성질 및 충격흡수에너지는 분산의 폭이 약간 크게 나타났으며 KS에서 규정하는 기준값을 충분히 만족하고 있는 것으로 나타났다. 또, 용접성지수 및 Weathering Index는 일본 도로교시방서 및 ASTM의 기준을 만족하고 있는 것으로부터 국내 내후성강재의 품질을 확인 할 수 있었다.

• 품질경영학회지
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• 제34권4호
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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.