• The Research Journal of the Costume Culture
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• v.25 no.2
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• pp.175-191
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• 2017

The purpose of this study is to analyze the body mass index(BMI) and foot characteristics of senior-generation women and to use those values to develop a standard shoe last for producing shoes that best fit the foot of senior-generation women. In order to develop a standard shoe last that reflects the BMI and foot characteristics of senior-generation women, I analyzed the morphometric characteristics of feet by conducting descriptive statistics for each item. The foot characteristics based on BMI were analyzed by conducting ANOVA and Duncan's tests via the foot's measured values. Subsequently, I developed a standard shoe last reflecting the BMI and the foot characteristics of senior-generation women by applying all those values. Senior-generation women showed significant differences among three groups based on BMI-normal weight, overweight, and obese-in all the items except for medial ball width and toe 5 angle. Through these values, I realized that as the value of the BMI becomes higher, the size of the foot becomes larger. This suggests that as a woman's weight increases or decreases, her shoes need to be replaced as well as her clothes. Deviations in the toe-side parts of the shoe could cause deformation of the foot. If someone keeps wearing shoes produced using a shoe last with a large deviation, she risks developing foot conditions like hallux valgus. This situation points to the need for shoe manufacture that utilizes a standard shoe last that reflects the BMI and foot characteristics of the senior generation.

• Journal of International Society for Simulation Surgery
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• v.1 no.1
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• pp.13-15
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• 2014

Nowadays, with advanced 3D printing techniques, the custom-made implant can be manufactured for the patient. Especially in skull reconstruction, it is difficult to design the implant due to complicated geometry. In large defect, an autograft is inappropriate to cover the defect due to donor morbidity. We present the process of manufacturing the 3D custom-made implant for skull reconstruction. There was one patient with skull defect repaired using custom-made 3D titanium implant in the plastic and reconstructive surgery department. The patient had defect of the left parieto-temporal area after craniectomy due to traumatic subdural hematoma. Custom-made 3D titanium implants were manufactured by Medyssey Co., Ltd. using 3D CT data, Mimics software and an EBM (Electron Beam Melting) machine. The engineer and surgeon reviewed several different designs and simulated a mock surgery on 3D skull model. During the operation, the custom-made implant was fit to the defect properly without dead space. The operative site healed without any specific complications. In skull reconstruction, autograft has been the treatment of choice. However, it is not always available and depends on the size of defect and donor morbidity. As 3D printing technique has been advanced, it is useful to manufacture custom-made implant for skull reconstruction.

• Journal of the Korea Fashion and Costume Design Association
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• v.12 no.2
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• pp.131-138
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• 2010

The purposes of this study are for current manufacturing status of the formal knit slacks for the middle aged women. As for the methodology, five manufacturers specializing in formal knitwear brands were subjected to the study, to examine the current manufacturing status of the knit slacks for the middle aged women, by conducting interviews and questionnaire with patterner and designer. The questionnaire items are 20 ones including general questions on manufacturing of the knit slacks, questions on materials used in manufacturing, and on sewing. The results are as followings : First, as for the manufacturing structure of the knit slacks manufacturer, all manufacturers directly manufactured knit slacks in their own factory, and the manufacturing was comprised of 10% in woven slacks and 90% in knit slacks. Second, as for the type of yarn mostly used in fabric knitting for the knit slacks, wool was used mostly for F/W, and acrylic or Saint yarn for S/S. As for the types of knit, Milano rib stitch and Half Milano rib stitch were used for wool and acrylic knitting, and plain stitch was used for Saint yarn. As for the gauge, 12G and 14G were used, whereas 7G, 12G was used for Saint yarn. Repair requests of the knit slacks were mostly on the length of the pants, such as shortening hip circumference and crotch length, or widening waist and hip area. The study shows that the size of knit slacks did not fit the body type of customers.

• Journal of the Korean Institute of Intelligent Systems
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• v.7 no.4
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• pp.58-64
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• 1997

FLC(Fuzzy Logic Controller) is stronger to the disturbance than a classical controller and its overshoot of the intialized value is excellent. In case an unknown process or the mathematical modeling of a complicated system is impossible, a fit control quantity can be acquired by the Fuzzy inference. But FLC can not converge correctly to the desirable value because the FLC's output value by the size of the quantization level of the Fuzzy variable always has a minor error. There are many ways to eliminate the minor error, but I will suggest GA-FLC and EP-FLC Hybrid controller which csombines FLC with GA(Genetic Algorithm) and EP(Evo1ution Programming). In this paper, the output characteristics of this Hybrid controller will be compared and analyzed with those of FLC, it will he showed that this Hybrid controller converge correctly to the desirable value without any error, and !he convergence speed performance of these two kinds of Hyhrid controller also will be compared.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.8
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• pp.992-1003
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• 2003

This study analyzes the actual state of the working uniforms worn by burning waste workers to protect their body from the hazardous environment. Directions for improvement of the clothing fabrics is also suggested. We visited and interviewed those persons who worked in the burning waste plant in Seoul and in Gyunggi Province. 245 workers were surveyed by questionnaires, and 211 workers out of 245 were statistically analyzed. Frequencies and percentages were calculated and $\chi$$^2$ test, ANOVA and Scheffe Post hoc comparison methods were utilized to test some hypothesis. The working uniforms were classified as four general types: separate type, disposable-coverall. overall, and winter clothes. At present, the working uniforms are not suitable for the conditions which they are used. There is a lack of ventilation and an inability to absorb perspiration limited elasticity, and the uniforms are prone to static shock. The degree of satisfaction varied significantly, based on the worker's educational background and main work. However, only a small percentage of workers interviewed were satisfied with the appearance and the fit of the present working uniforms. The working duration had a negative impact on the satisfaction of the worker. This results suggest that materials, colors, design and size of working clothes must be improved. The suggestions are as follows: Firstly. to use disposable non-woven fabrics finished to increase moisture regain. Secondly. to use the bad air permeability fabrics to protect the skin from absorbtion of harmful gases, flying dust, heavy metals, etc.

• Journal of Korean Society for Quality Management
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• v.46 no.3
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• pp.425-440
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• 2018

Purpose: This study is aimed at developing of the flex resistance testing process at low temperature with the waterproof fabric to suit the military environment, and is designed to fit for the purpose of the waterproof materials in order to optimize the test method by finding out matters to improve from existing the test method and through previous studies. Methods: The test method, which has been applied to flex resistance of existing water-repellent materials, was improved and consequently, differentiated test results could be obtained according to the test temperature, sample size, and flexing method. Results: The testing of the total of 8 samples revealed that performance of the military requirement could hardly be met just by presenting the materials or 2~3 layers when the quality criteria for high functional water repellent fabrics were applied. PTFE(Polytetrafluoroethylene) is preferred to PU(Polyurethane) to be used in the extremely low-temperature environment, but durability under the low-temperature environment may be varied depending on film thickness or laminating technique even if the materials of waterproof films are identical. Therefore, in addition to the material or texture, the test method capable of reflecting durability under the low-temperature environment shall be suggested, and the newly designed test method proposed in this study was shown to suggest differentiated quality criteria by the material. Conclusion: The water resistance measurement and the test method following flex resistance with expanded range of flex will enable the differentiable test of the samples according to the number of repetition. This study is meaningful in that it suggests a differentiable test method capable of establishing a basis of deciding suitable material when selecting military goods made of water repellent material by properly improving the test method.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.505-519
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• 2006

We consider zero-inflated count data, which is discrete count data but has too many zeroes compared to the Poisson distribution. Zero-inflated data can be found in various areas. Despite its increasing importance in practice, appropriate statistical inference on zero-inflated data is limited. Classical inference based on a large number theory does not fit unless the sample size is very large. And regular Poisson model shows lack of St due to many zeroes. To handle the difficulties, a mixture of distributions are considered for the zero-inflated data. Specifically, a mixture of a point mass at zero and a Poisson distribution is employed for the data. In addition, when there exist meaningful covariates selected to the response variable, loglinear link is used between the mean of the response and the covariates in the Poisson distribution part. We propose a Bayesian inference for the zero-inflated Poisson regression model by using a Markov Chain Monte Carlo method. We applied the proposed method to a Korean oral hygienic data and compared the inference results with other models. We found that the proposed method is superior in that it gives small parameter estimation error and more accurate predictions.

• Journal of Korean Society of Transportation
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• v.19 no.3
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• pp.19-32
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• 2001

A parking facility choice model. which can be applied to analyze of the driver's parking behavioral changes in response to the local government's parking policy changes and to predict parking demand by the facility types, is developed. Under the context of the stated preference discrete choice model, socioeconomic variables and parking alternative characteristic variables are introduced as explanatory variables. A parking facility choice model for the shopping trip purpose is derived using multinomial logit model and nested logit model and the stated preference data collected in Taegu metropolitan area. The result shows that the sign of all the estimated parameters are logically consistent and the model's goodness of fit is reasonably good. As a result of the elasticity analysis of the model, the elasticity of parking cost is highest, and the elasticity of walking distance between parking place and the destination is higher than parking place searching and ingress time. This means that the parking places are supplied around the destination in the form of small-size parking place. The findings in this study is expected to provide a fundamental data for various short-term parking policy analyses and for parking facility's demand estimations.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.1259-1259
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• 2001

Meat becomes brown and rancid during storage in the refrigerator and display in the case. Color changes, metmyoglobin formation and lipid oxidation are the important problems in the transportation / distribution of meat and retail display. The freshness of meat is determined by the sense of vision and smell. Since conventional method determining lipid oxidation is time consuming and destructive (it needs to homogenize meat with reagents, filtrate, time for reaction and read optical density using spectroscopy), more rapid and nondestructive technical tools are desired. The objective of this work was to evaluate near-infrared spectroscopy as an analytical tool for determining meat color, metmyoglobin formation and lipid oxidation. in beef, pork and chicken. Semitendinosus and longissimus thoracis muscles from six beef steers, biceps femoris and longissimus thoracis muscles from twelve LWD crossbred pigs, and superficial pectoral muscles from twenty-four broilers were used. About a 5-cm diameter and 1-cm thick sample (20.0g) was cut from the muscle and placed on plastic foam, over-wrapped with PVC film, and displayed under flourescent lights at 4 degrees C. during 10 days for beef and pork or 4 days for chicken. The spectra was measured by NIR systems Model 5500 Spectrophotometer using fiber optic scan at range of 400 - 1100 nm. Data were recorded at 2 nm intervals and 10 scans / 10 sec were averaged for every sample. Data obtained were saved as log 1/Re, where Re is the reflectance energy, and then mathematically transformed to second derivatives to reduce effects of differences in particle size. $L^{*}$, $a^{*}$ and $b^{*}$, and metmyoglobin formation were determined by conventional spectrophotometer using the integrating sphere unit. 2-Thiobarbituric acid reactive substances (TBARS) were measured for lipid oxidation. A multiple linear regression was used to find the equation which would best fit the data. The number of wavelengths used in the equation was selected based on the fewer number compared to the increasing multiple correlation and Decreasing standard error. (omitted)

• Journal of KIISE:Databases
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• v.37 no.5
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• pp.275-284
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• 2010

GPUs are stream processors based on multi-cores, which can process large data with a high speed and a large memory bandwidth. Furthermore, GPUs are less expensive than multi-core CPUs. Recently, usage of GPUs in general purpose computing has been wide spread. The CUDA architecture from Nvidia is one of efforts to help developers use GPUs in their application domains. In this paper, we propose techniques to parallelize a skyline algorithm which uses a simple nested loop structure. In order to employ the CUDA programming model, we apply our optimization techniques to make our skyline algorithm fit into the performance restrictions of the CUDA architecture. According to our experimental results, we improve the original skyline algorithm by 80% with our optimization techniques.