• The Korean Journal of Applied Statistics
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• v.33 no.1
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• pp.107-114
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• 2020

Extreme value distributions have often been used for the analysis (e.g., prediction of return level) of data which are observed from natural disaster. By the extreme value theory, the block maxima asymptotically follow the generalized extreme value distribution as sample size increases; however, this may not hold in a small sample case. For solving this problem, this paper proposes the use of a log-logistic (LLG) distribution whose validity is evaluated through goodness-of-fit test and model selection. The proposed method is illustrated with data from annual maximum earthquake magnitudes of China. Here, we present the predicted return level and confidence interval according to each return period using LLG distribution.

• Bulletin of the Korean Chemical Society
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• v.31 no.6
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• pp.1469-1473
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• 2010

Influences of alrylamino (R) substituents on the herbicidal activity ($pI_{50}$) of 1-(4-chloro-2-fluoro-5-propargyloxypheny)-3-(R)-thiourea analogues (1 ~ 35) against the barnyard grass (Echinochloa crusgalli) in the pre-emergence step were discussed quantitatively using comparative molecular field analysis (CoMFA) and comparative molecular similarity indices analysis (CoMSIA) as the three dimensional quantitative structure-activity relationship (3D-QSAR) method. The statistically most satisfactory CoMFA models for the herbicidal activity against the barnyard grass had the better predictability ($r^2{_{cv.}}$) and correlativity ($r^2{_{ncv.}}$) than those of CoMSIA models. The optimized CoMFA model 1($r^2{_{cv.}}$ = 0.531 & $r^2{_{ncv.}}$ = 0.931) with the sensitivity to the perturbation (${d_q}^{2'}{dr^2}_{yy'}$ = 1.081) and the prediction ($q^2$ = 0.475) produced by a progressive scrambling analyses were not dependent on chance correlation. And statistical qualities with the atom based fit alignment (AF) were slightly higher than those of the field fit alignment (FF). According to the optimized CoMFA model 1, the contribution ratio (%) of the steric field (76.9%) on the herbicidal activity of the Thioureas was three-fold higher than that of the electrostatic field (20.1%) and the hydrophobic field (3.0%) had the least influence. A steric favor group is on the vicinity of the nitrogen atom in alrylamino (R) substituent, and a steric disfavor group is on the outer side of alrylamino (R) substituent. Thus, as the size of alrylamino (R) substituent increases, so does the herbicidal activity of the substituent.

• The Journal of Fisheries Business Administration
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• v.36 no.1 s.67
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• pp.81-101
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• 2005

This article is to estimate the fishing frequency function in Korean recreational fishery with respect to socio-economic characteristics of anglers. First, the study described the characteristics of the entire angler population on the view points of 9 socio-economic variables. And then, the study divided the total angler population into three groups of in-land, sea, and mixed angler populations in order to investigate the differences in their characteristics. The study could confirm the existence of differences in regions, size of regions, and educational levels between the in - land and the sea angler populations by testing heterogeneity in the frequency table. The fishing frequency function is estimated using Poisson regression model in order to accomodate the count data(non-negative discrete random variable) aspects of the fishing frequency. However, the model specification error is found due to overdispersion of data. The model exhibits the lack of goodness of fit. The negative binomial regression model is adopted to cure the overdispersion of the data as an alternative estimation methodology. Finally, the study can confirm overdispersion does not exist in the model any more and the goodness of fit improved significantly to the reasonable level. The results of estimation of fishing frequency population modeled by the negative binomial regression models are following. The three variables of region, sex, and education have effects on the decision making process of fishing frequency in the case of in-land recreation fishery. On the other hand, the three variables of sex, age, and marriage status do the same job in the case of sea angler population. Among the left-over variables, both income and use of Internet variables now affect on the process in mixed angler population. Finally, the results of whole angler population show that all of the previous variables are proven to be statistically significant due to the summation of data with all three sub-groups of angler population.

• Journal of Fashion Business
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• v.17 no.2
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• pp.33-45
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• 2013

A study using 3D virtual garment simulation is carried out for the evaluation and application on the pants fit for obese women in their age of 20s and 30s. The results are as follows; 5 obese women in their 20s and 30s were selected for the testing 3D body. They showed no significant differences in all items, comparing with the data of 5th Size Korea body dimensions. The average waist circumstance of the subjects' 3D body dimensions was 87.0cm, hip circumstance was 102.4cm, BMI was $27.1kg/m^2$, and their obese body types had similar mean values. Based on the detailed design of ready made pants and the study results of 20~30s obese women preference for pants design, pants of straight silhouette and semi-tight fit which have waist line lowered, no front dart and one back dart, were manufactured with 100% black cotton and cotton spandex mixed fabrics. When comparing the appearances between real garment and virtual garment, the average of the real garment with 100% cotton was 3.70 and the virtual garment was 4.05. The average of real garment with cotton spandex mixed fabrics was 3.75 and the virtual garment was 4.06. Therefore, the average of virtual garment was highly evaluated. When comparing the results of evaluating the appearance, there was no significant difference caused by materials between real garment and virtual garment. The expression for the ease of virtual garment and real garment was also similar for good evaluation. Thus, 3D virtual garment simulation did positively prove its reliability and effect.

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.31 no.4
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• pp.540-548
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• 2021

Introduction: Preplacement health examination (PHE) is performed when a worker starts a certain work task which is designated as having occupational risks by the Ministry of Employment and Labor (MOEL). All data related to health examination except PHE are reported to the MOEL by the law. This study has been performed to understand the status of PHE at certain workplaces. Methods: PHE data gathered in a university hospital were analyzed and they were followed with results of the special health examination (SHE) in 2019 and 2020. Those who were evaluated as unfit to work as it was, were interviewed directly or indirectly through an occupational health manager to follow up the management status of their recognized health problems. Results: The unfit to work (unFTW) rate of PHE was 2.8%, and was not different according to the size of workplace or having occupational health service. The major cause of unfit to work was the uncontrolled life-style diseases such as hypertension and diabetes. The rate of SHE followed by PHE was 31.1%. It was not different by the unFTW rates, however, they were different according to having a full time in-house occupational health manager. Thirty-one among 71 examinees who were evaluated as unFTW underwent SHE after controlling their health condition and were finally evaluated as fit to work. Nineteen among 31 started to take medicine and eight have been placed in the work without designated risks. Conclusion: PHE can be used for new workers, who may have unknown or uncontrolled life-style diseases, to be asked to manage life-style diseases as well as work-related risks such as shift work. In order to have a better tracking system for work-related risks, the information of PHE should be analyzed together with other data from health examination.

• The Research Journal of the Costume Culture
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• v.30 no.4
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• pp.495-512
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• 2022

This study aims to design a new sizing system for hygienic masks to protect against COVID-19-related respiratory disorders. The product sizes were collected from 70 commercially available hygienic masks, and 18 head measurements were obtained from the three-dimensional (3D) scan data of 2,048 men and women aged 20 to 69 years from the 6th Size Korea Survey. The statistical analysis was performed using the IBM Statistical Package for the Social Sciences (SPSS) 28.0 program. The "bitragion-subnasale arc" and "menton-sellion length" were chosen as the key body dimensions for the hygienic mask sizing system. The linear regressions with 18 3D head measurements were analyzed, and it was determined that the key body dimensions were useful for statistically predicting other 3D head measurements related to hygienic masks. A new sizing system was proposed for two types of masks, "masks with a tight fit" and "masks with a loose fit," taking into account the existing Korean Industrial Standards (KS) and the shortcomings of the sizes of hygienic masks on the market. The sizing system for tight-fitting masks consisted of the key body dimensions, with their sizes indicated by a pair of numbers. The sizing system for loose-fitting masks consisted solely of the bitragion-subnasale arc, with their sizes denoted by letters such as S, M, and L (denoting small, medium, and large, respectively). Future studies should consider this mask sizing system for different age groups, such as children and adolescents.

• The Research Journal of the Costume Culture
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• v.30 no.6
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• pp.828-841
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• 2022

This study aims to develop a fitted torso pattern suitable for males in their forties and fifties who are obese-a group that accounts for more than fifty percent of men in this age group-using a 3D virtual fitting program. Size Korea's 2022 data for obese males in their forties and fifties is utilized for this study. In terms of the research method, a 3D program (CLO 3D) is used to implement the target group's various body types and to apply fitted torsos that enable verification and evaluation of the pattern's fit and ease. The characteristics of fitted torso patterns for obese bodies are as follows: the front centerline is a profile line; shoulder darts are added by reflecting waist-abdominal protrusion in the front panel; and shoulder, arm, waist, and center-back darts are constructed for the back panel. For obese bodies, the minimum circumference ease amounts should be approximately 6-7cm for the chest, 6cm for the waist, and 6-7cm for the hips. Based on an evaluation of the virtual fit of the developed fitted torso pattern, the data shows that a pattern (foundation) such as this is well suited for obese body types with an average of 4.67/5 points for reverse triangular obesity, an average of 6.67/7 points for log obesity, and an average of 6.69 points for the ease amount.

• Journal of the Korea Society of Computer and Information
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• v.25 no.10
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• pp.103-113
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• 2020

The purpose of this study was to development a uniform shirt for high school boys aged 16-18 in the 7th Human Dimension Survey data of Size Korea. The upper body was analyzed to classify the upper body shape and to understand the characteristics of the body by type. Through this, we wanted to obtain the basic data necessary for the development of school uniform shirts. For data analysis, SPSS Ver. 26.0 program was used. In high school boys, there was no significant difference in height by age, but in width, thickness, length, circumference, shoulder slope, and weight, there were significant differences by age. The upper body types were categorized into four types: long shoulder skinny type, long upper body obese type, short shoulder normal type, and long shoulder normal type. Based on the size and body type data extracted from this study, it is thought that the development of uniform shirts with excellent fit should be realized through practical fashion development and construction of a size system.

• Fashion & Textile Research Journal
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• v.21 no.6
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• pp.800-812
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• 2019

Secondary diseases that occur during the rehabilitation of breast cancer survivors are factors that can negatively change the physical and psychological state of the patient. The rehabilitation after treatment of breast cancer survivors is an important process to prevent cancer recurrence and increase the survival rate because a negative psychological state significantly impacts the long-term survival rate. This study identifies user requirements for the development of functional bras for mastectomy patients in Korea. Participants included 133 patients with one or more breasts removed due to breast cancer and an average age of 53.2 years (53.21 ± 7.57 years, minimum 33 years, maximum 69 years). Women in their 50s had the highest participation rate of 48.9%. Most maintained the same bra size before surgery; however, some experienced changes in bra size because they are not irritated by wounds caused by surgery. Therefore, it is important to pay attention to material when designing a functional bra because it can irritate the surgical site. Only about 41.4% of bras were worn by breast cancer patients because of price burden and lack of education, not complaints related to clothing design and wearability or body shape. Most purchases at hospitals or medical institutions require consultation with a specialist who provides information about a bra mainly at the hospital. The most important considerations when buying a breast cancer bra were size, fit and shape stability.

• Journal of the Korean Society of Food Science and Nutrition
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• v.33 no.10
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• pp.1720-1725
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• 2004

Absorption characteristics of green tea powder were investigated. The monolayer moisture content determined by GAB equation was 0.024~0.052 g $H_2O$/g dry solid. The absorption enthalpy was calculated with different particle size and various water activities. It showed that the absorption energy was decreased with increasing water activity but no difference was found on particle size increasement. Among models applied for predicting equilibrium moisture content, Halsey model was the best fit model for green tea powders, showing the lowest prediction deviation of 2.1~4.0%. The prediction model equations for the water activity was established as function of relative humidity, time and temperature. The model equation will be helpful for future work on drying and storage of green tea powder.