• The Journal of Korean Medicine
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• v.41 no.2
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• pp.96-106
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• 2020

Objectives: The purpose of this study was to research the demographical and gynecologic characteristics, quality of life, and analyze the pattern identification in female patients with cold hypersensitivity of hands and feet. Methods: 112 participants were recruited from May 2018 to April 2019 from three korean medical hospitals. The data was composed of general characteristics, degree of coldness of hands and feet, gynecological questionnaire, score of WHOQOL-BREF and pattern identification. We divided data into 2 groups: The group of patients who meet the criteria for diagnosis of coldness on feet and the group of patients who meet the criteria for diagnosis of coldness on feet and hands. We tried to compare data by groups using Excel 2016 for windows and SPSS for windows (Ver. 23.0). Results: Throughout the study, we found differences between 2 groups in weight, body mass index (BMI), VAS score of cold hypersensitivity on feet, temperature of PC8, ST32, and pattern identification. Conclusions: After the study, we confirmed that even though both groups suffer from cold hypersensitivity of hands and feet, they show clinical differences in each group and differences in pattern identification.

• The Research Journal of the Costume Culture
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• v.18 no.1
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• pp.13-28
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• 2010

This study is focused on the elucidation of efficient and correct marking methods by comparing and analyzing marker efficiency depending on the marking job condition such as interval of checking-pattern and marker orientation using woman's Jacket and Slacks. Research Method intended to compare the marking efficiency of Jacket and Slacks, check-less and check- patterned materials with the intervals of $1.5{\times}1.5cm$ and $5{\times}5cm$ were selected. First, in the comparison of marking efficiency depending on check-pattern interval, regardless of the direction of marker position, single-item makers and set-item makers, the efficiency of check-less materials was higher than those of check-patterned materials and increasing the intervals decreased marking efficiency and vice versa. Marking efficiency of Slacks was less influenced than marking efficiency of Jacket by check-pattern interval. Second, in the comparison of marking efficiency depending on the direction of marker position, regardless of check-pattern interval and number of maker pieces, the efficiency of nap-up-and-down position was higher than those of nap-one-way position. Third, the marking efficiency of single-item was more effective than one of set-item in all working condition except nap-one-way position in checkless materials.

• Fashion & Textile Research Journal
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• v.21 no.3
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• pp.308-317
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• 2019

This study provided data for classifying and characterizing the lower half of the body shape for obese adult men in their 30s and 40s. Data of 492 adult males who were obese with a WHO criteria of >25 BMI were used for analysis. The results of the study are as follows. Six factors extracted from the factorial analysis as independent factors for cluster analysis were classified into three types. Type 1 (65.4%) had the lowest height of the lower half of the body with short circumference and length. Type 2 (20.3%) had the lowest height of the lower half of the body with the largest thickness, width and circumference from the back to the hip, but short in length. Type 3 (14.2%) had the lowest height of the lower half of the body with medium height and waist-height; however, the curve from the waist to the hip was the largest with the largest waist circumference, hip circumference, and width and thickness of the lower half of the body. This study will help to design a slack pattern that utilizes body shape characteristics of men in their 30s and 40s. In a follow-up study, we analyze the slack pattern and educational pattern by the company and study the necessity for a slack pattern for obese males.

• 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.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.25 no.4A
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• pp.558-565
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• 2000

While research of ATPG(automatic test pattern generation) for combinational circuits almost reaches a satisfiable level, one for sequential circuits still requires more research. In this paper, we propose new algorithm for sequential ATPG based on state information learning. By efficiently storing the information of the state searched during the process of test pattern generation and using the state information that has been already stored, test pattern generation becomes more efficient in time, fault coverage, and the number of test patterns. Through some experiments with ISCAS '89 benchmark circuits, the efficiency of the proposed method is shown.

• Journal of Institute of Control, Robotics and Systems
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• v.3 no.2
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• pp.132-138
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• 1997

Six different types of velocity profiles of trolley movement of a container crane are investigated for the minimal sway angle at the target trolley position. Three velocity patterns which include trapezoidal, stepped and notched-type velocity patterns are obtained assuming constant rope length. The notched type velocity pattern is shown to be derived from the time-optimal bang-bang control. The stepped type velocity pattern can be shown to be derived as bang-off bang control as well. Considering the damping effect due to hoist motion a double stage acceleration pattern is also analyzed. The main objective of the paper is to show how much time-reduction can be obtained among several velocity patterns appearing in the literature.

• Journal of the Korea Furniture Society
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• v.24 no.2
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• pp.113-120
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• 2013

The purpose of this research is to provide new direction on the field of the furniture design and to establish the identity of Korean furniture design as the flow of craft's juxtapose mixture era where it mix and match Korean traditional craft style materials with the modern furniture design. In other words, it is intended to create new furniture design and propose beautiful Korean luxury furniture design based on the precious unique culture with the traditional craft style, juxtaposition of modern furniture, and reinterpretation. It should grant artistic values that can satisfy consumers having various tastes and scarcity values, plus it should put out aesthetic and creative expressions in furniture design putting into the beautiful traditional craft form values. Furthermore, it is required to create new design through values and spirit, materials, techniques, forms, pattern, and usages by interacting, coordinating, and combining tradition and modern East and West, plus craft and design.

• Journal of the Korean Operations Research and Management Science Society
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• v.25 no.4
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• pp.55-65
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• 2000

This paper presents a linear programming based algorithm for pattern classification. Pattern classification is being considered to be critical in the area of artificial intelligence and business applications. Previous methods employing linear programming have been aimed at two-group discrimination with one or more linear discriminant functions. Therefore, there are some limitations in applying available linear programming formulations directly to general multi-class classification problems. The algorithm proposed in this manuscript is based on quadratic or polynomial discriminant functions, which allow more flexibility in covering the class regions in the N-dimensional space. The proposed algorithm is compared with other competitive methods of pattern classification in experimental results and is shown to be competitive enough for a general purpose classifier.

• Journal of Electrical Engineering and Technology
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• v.11 no.1
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• pp.55-64
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• 2016

The development of high-speed rail (HSR) has had a major impact on the power supply grid. Based on the monitored waveforms of HSR, a pattern recognition approach is proposed for the first time in this paper to identify the operating conditions. To reduce the data dimensions for monitored waveforms, the principal component analysis (PCA) algorithm was used to extract the characteristics and their waveforms from the monitored waveforms data. The dynamic time wrapping (DTW) algorithm was then used to identify the operating conditions of the HSR. Cases studies show that the proposed approach is effective and feasible, and that it is possible to identify the real-time operating conditions based on the monitored waveforms.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.62 no.9
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• pp.1270-1275
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• 2013

A lot of research about camera calibration and lens distortion for wide-angle lens has been made. Especially, calibration for fish-eye lens which has 180 degree FOV(field of view) or above is more tricky, so existing research employed a huge calibration pattern or even 3D pattern. And it is important that calibration parameters (such as distortion coefficients) are suitably initialized to get accurate calibration results. It can be achieved by using manufacturer information or lease-square method for relatively narrow FOV(135, 150 degree) lens. In this paper, without any previous manufacturer information, camera calibration and barrel undistortion for fish-eye lens with over 180 degree FOV are achieved by only using one calibration pattern image. We applied QR decomposition for initialization and Regularization for optimization. With the result of experiment, we verified that our algorithm can achieve camera calibration and image undistortion successfully.