• Journal of the Korean Society of Costume
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• v.49
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• pp.25-48
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• 1999

The purpose of this study is to offer fundamental data for classification of somatotype for boys of elementary school age. The subject were 458 elementary school boys aged from 7 to 12 living in Pusan, Data were collected by 57 anthropometric and 11 photographic measurements and analyzed by factor analysis according to SAS package 1. Through the factor analysis by each period of school ages 6-7 factor were obtained in upper half and they are as followings: 1) Factor 1 is horizontal size of upper half in every period 2) Factor 2 is vertical size of upper half in every period 3) Factor 3 is shoulder shape in the first period and length of upper half in the middle and latter period 4) Facto 4 sis length of upper half in the first period and shoulder shape in the middle and latter period 5) Factor 5 is angle shape of the breast and back in the first period angle shape of the lower breast and back in the middle of period and angle shape of the upper breast and back in the latter of period 6) Factor 6 is angle of shoulder in the first period angle shape of the upper breast and back in the middle of period and angle shape of the lower breast and back in the latter of period 7)Factor 7 is angle of shoulder in the latter of period 2. Through the factor analysis by each period of school ages 5-6 factor were obtained in lower half and they are as followings: 1) factor 1 is horizontal size of upper half in every period 2) Factor 2 is vertical size of upper half in every period 3) Pactor 3 is angle shape of the belly and upper buttock in the first period and length of lower half in the middle and latter period 5) Factor 5 is angle shape of the lower buttock in the first period angle shape of the upper belly and buttock in the middle of period and angle of the side posture in the latter of period 6) Factor 6 is angle shape of the lower buttock in the middle of period and angle shape of the lower belly and buttock

• Journal of the Korea Society of Computer and Information
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• v.24 no.4
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• pp.129-136
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• 2019

The purpose of this study was to provide basic data necessary for the development of clothing that can improve the satisfaction of body shape of elderly men by examining subjective characteristics and characteristics of perception type of older men's body shape. Using the Q methodology, I investigated and analyzed the process of formation and main characteristics of subjectivity of various types of recognition that elderly men express about their body shape. There were four types of perception of body shape in elderly men: flat hip and bird legs skinny body, back bent and abdominal obese body, thick neck and upper body development body, forward cervical neck and protruding abdomen obese body. The actual body shape of elderly men was classified according to the bust, waist circumference, hip circumference, and body part angle. But recognition body shape of elderly men was classified by visual factors like the abdomen, the angle of the neck, the inclination of the back, the slope of the waist, and the degree of obesity. It is necessary to consider the trend of silver fashion which is increasing in demand. In addition, it is necessary to develop clothing patterns of comfortable fit through ergonomic study on the physical characteristics of older men. Consideration should be given to the design and pattern that can reduce the difference between the ideal body shape and the body shape recognized by older men.

• Wind and Structures
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• v.39 no.3
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• pp.175-190
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• 2024

Aerodynamic shape optimization is very useful for enhancing the performance of wind-sensitive structures. However, shape parameterization, as the first step in the pipeline of aerodynamic shape optimization, still heavily depends on empirical judgment. If not done properly, the resulting small design space may fail to cover many promising shapes, and hence hinder realizing the full potential of aerodynamic shape optimization. To this end, developing a novel shape parameterization scheme that can reflect real-world complexities while being simple enough for the subsequent optimization process is important. This study proposes a machine learning-based scheme that can automatically learn a low-dimensional latent representation of complex aerodynamic shapes for bluff-body wind-sensitive structures. The resulting latent representation (as design variables for aerodynamic shape optimization) is composed of both discrete and continuous variables, which are embedded in a hierarchy structure. In addition to being intuitive and interpretable, the mixed discrete and continuous variables with the hierarchy structure allow stakeholders to narrow the search space selectively based on their interests. As a proof-of-concept study, shape parameterization examples of tall building cross sections are used to demonstrate the promising features of the proposed scheme and guide future investigations on data-driven parameterization for aerodynamic shape optimization of wind-sensitive structures.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.14 no.4
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• pp.1562-1578
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• 2020

Vector data compression algorithm can meet requirements of different levels and scales by reducing the data amount of vector graphics, so as to reduce the transmission, processing time and storage overhead of data. In view of the fact that large threshold leading to comparatively large error in Douglas-Peucker vector data compression algorithm, which has difficulty in maintaining the uncertainty of shape features and threshold selection, a segmented Douglas-Peucker algorithm based on node importance is proposed. Firstly, the algorithm uses the vertical chord ratio as the main feature to detect and extract the critical points with large contribution to the shape of the curve, so as to ensure its basic shape. Then, combined with the radial distance constraint, it selects the maximum point as the critical point, and introduces the threshold related to the scale to merge and adjust the critical points, so as to realize local feature extraction between two critical points to meet the requirements in accuracy. Finally, through a large number of different vector data sets, the improved algorithm is analyzed and evaluated from qualitative and quantitative aspects. Experimental results indicate that the improved vector data compression algorithm is better than Douglas-Peucker algorithm in shape retention, compression error, results simplification and time efficiency.

• Fashion & Textile Research Journal
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• v.19 no.5
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• pp.569-578
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• 2017

The purpose of this study is to analyze the lower body shape of varus-typed elderly women. This study intentionally collected elderly women at age 65 years or older who seemed to have a lower body shape of varus-type, and the data of 100 women were used for final analysis. The results are as follows. Elderly women with a lower body shape of varus-type were shorter than regular elderly women and had small circumference and weak lower body. To classify the body shapes, factor analysis was conducted which drew a total of 3 factors, with 74.11% of accumulative variance. Cluster analysis was performed according to factor analysis and the body shapes were divided into 3 types. Type 1 was a body shape with the most severe varus-type that had small measured values of height and the highest BMI. Type 2 was a group of women with a large build with a relatively small tendency of varus-type. Type 3 was a group of women who were not obese, had long lower bodies, and varus-type with small circumference, which were similar to Type 1. Therefore, this study on the body shape is expected to be used as a basic data for the development of the clothes for straightening the varus-typed lower body shape in the future.

• Journal of KIISE:Databases
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• v.32 no.5
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• pp.498-508
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• 2005

A shape data is used one oi most important feature for image retrieval as data to reflect meaning of image. Especially, structural feature of shape is widely studied because it represents primitive properties of shape and relation information between basic units well. However, most structural features of shape have the problem that it is not able to guarantee an efficient search time because the features are expressed as graph or tree. In order to solve this problem, we generate curvature-based morphological graph, End design key to cluster shapes from this graph. Proposed this graph have contour features and morphological features of a shape. Shape retrieval is accomplished by stages. We reduce a search space through clustering, and determine total similarity value through pattern matching of external curvature. Various experiments show that our approach reduces computational complexity and retrieval cost.

• Journal of Fashion Business
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• v.15 no.4
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• pp.122-134
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• 2011

The peanut-shaped cloth diaper has cut uncomfortable crotch region off the square-shaped cloth diaper into a peanut-shape, and finished the edge by bias with multi-layers of fabric. This study has the purpose on providing the basic data for designing the peanut-shaped cloth diaper. For this purpose, the peanut-shaped cloth diapers on market were collected and analyzed by their shape and size, and also the patterns and differences in making were compared. 26 products from 17 brands were collected as samples. The analysis factors are the shape and size of the peanut-shaped cloth diaper, and characteristics and patterns in making. Among the samples, only 3 diapers were straight-shaped; the rest of them were peanut-shaped. The size difference between the big and small peanut-shaped cloth diapers was very large; the total length of the small one was 36.5cm-39cm which was very common, and the total length of the big one was more than 44cm. All diapers had longer width in the back than the front. The width of the front and back was different for each sample, therefore, it seemed to have some difficulties to set the standard. The peanut-shaped cloth diaper had different make-up depending on its characteristics including. absorbance, washing and drying. It was usually made by cotton woven of diamond jacquard or knit, and finished the edge by woven bias or knit bias. The peanut-shaped cloth diapers were various including a sheet of diaper, two sheets of diapers fixed with velcro, three sheets of diapers, and etc. For the patterns of the diapers, only two samples out of all had three dimensional shape, and the rest were produced using flat shape. There were no distinction between the diapers of girls and boys. Therefore, it is necessary to make the product based on scientific data about the peanut-shaped cloth diaper.

• Korean Journal of Materials Research
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• v.28 no.7
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• pp.381-390
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• 2018

Shape memory alloys(SMAs) have revolutionized the material engineering sciences as they exhibit exclusive features i.e. shape memory effect(SME) and super-elasticity. SMAs are those alloys that when deform return to their predeformed shape upon heating, they also restore their original shape by removing the load. Research on properties of newly advent of several types of ferrous based shape memory alloys(Fe-SMAs), shows that they have immense potential to be the counterpart of Nitinol(NiTi-SMA). These Fe-SMAs have been used and found to be effective because of their low cost, high cold workability, good weldability & excellent characteristics comparing with Nitinol(high processing cost and low cold workability) SMAs. Some of the Fe-SMAs show super-elasticity. Fe-SMAs, especially Fe-Mn-Si alloys have an immense potential for civil engineering structures because of its unique properties e.g. two-way shape memory effect, super elasticity and shape memory effect as well as due to its low cost, high elastic stiffness and wide transformation hysteresis comparative to Nitinol. Further research is being conducted on SMAs to improve and impinge better attributes by improving the material compositions, quantifying the SMA phase transition temperature etc. In this research pre-existing Fe-SMAs are categorised and collected in a tabulated form. An analysis is performed that which category is mostly available. Last 50 years data of Fe-SMA publications and US Patents is collected to show its importance in terms of increasing research on such type of alloys to invent different compositions and applications. This data is analysed as per different year groups during last 50 years and it was analysed as per whether the keywords exist in title of an article or anywhere in the article. It was found that different keywords related to Fe-SMAs/categories of Fe-SMAs, almost don't exist in the title of articles. However, these keywords related to Fe-SMAs/categories of Fe-SMAs, exist inside the article but still there are not too many publications related to Fe-SMAs/categories of Fe-SMAs.

• Fashion & Textile Research Journal
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• v.11 no.1
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• pp.103-111
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• 2009

This study is to help make-up and coordination for image-making after analysis of facial color and shape of elderly women. The data was analyzed 55-75 years old 212 elderly women's face color and pictures by means of SPSS 12.0 statistics package. On the basis of the colorimetric data on face by Minolta CM2500D, this research considered the analysis of facial color, patternization of facial color and its analysis by age group; for the analysis of facial shape, this research patternized facial shape and analyzed its characteristic using both contour-based facial shape analysis and Kamata facial shape analysis. As for facial color, it was found that the lower age bracket has bright and reddish face, looking fine, while the higher age bracket has a conspicuously yellowish face, looking bad. The community of facial color is classified as 3 types and it was found out that the facial color of the subjects belonging to Type 3, whose L value is the largest, looked the brightest; the face of the subjects belonging to Type 2, whose a value is the largest, was much tinged with red, and the face of the subjects belonging to Type 1, whose b value is the largest were tinged with yellow. According to the analysis of facial shape, there appeared oval & long forms in the classification by contour, while there appeared a lot of downward-directed power and inner-directed power in the classification by Kamata, which is believed to reflect the phenomenon that their chin line becomes roundish and the facial length also tend to be longer due to aging.

• Korean Journal of Computational Design and Engineering
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• v.10 no.4
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• pp.262-273
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• 2005

For CAD data users, few things are as frustrating as receiving CAD data that is unusable due to poor data quality. Users waste time trying to get better data, fixing the data, or even rebuilding the data from scratch from paper drawings or other sources. Most related works and commercial tools handle the boundary representation (B-Rep) shape of CAD models. However, we propose a design history?based approach for healing CAD model errors. Because the design history, which covers the features, the history tree, the parameterization data and constraints, reflects the design intent, CAD model errors can be healed by an interdependency analysis of the feature commands or of the parametric data of each feature command, and by the reconstruction of these feature commands through the rule-based reasoning of an expert system. Unlike other B Rep correction methods, our method automatically heals parametric feature models without translating them to a B-Rep shape, and it also preserves engineering information.