• Journal of the Korean Society of Costume
• /
• v.53 no.2
• /
• pp.35-55
• /
• 2003

The purpose of the study is to get some pieces of prior information to eventually develop competitive swimming suit designs with Korean traditional images. The study has been accomplished in following steps. First, as theoretical research, the history of swimming suit design and the requirements in designing competitive swimming suits were studied. Second, as practical research, at first, the trend of the competitive swimming suit designs in the national swimming suit market was examined. And then. the questionnaire surveys of both professional and amateur swimmers about their design preferences with purchasing and fabric-related tendencies were conducted for understanding professionals' characters more exactly. This data were analyzed through cross-analysis and multi-response analysis and x 2 was used. The results of this study can be summarized as follows : First, athletes' preferential design tendency for the swimming suit designs were examined in the aspects of style, color, pattern, logo, and accessary. In style, female athletes preferred an athletic one-piece style and male ones preferred a brief style. In color. neutral, mostly black was preferred most and cold color group like dark blue and navy blue next, regardless of sex. In addition, they preferred similar color coordination. In pattern, though solid fabrics were mostly preferred in both sexes, especially Taeguk motive were considered the most appropriate pattern to show Korean image. Besides, logo was considered importantly, and swimming caps and goggles of accessaries were generally used. Second, athletes' swimming suit purchasing tendency was as a following. the number of swimming suits possessed was more than 4 pieces. the durable period was less than 3 months. and the most important point considered in purchasing was an easy fitting for men and a design with an easy fitting for women. And most of swimming athletes preferred foreign products than domestic ones, which was attributed to excellent quality, easy fitting, and good design. and so on. Third, in fabric-related tendency, food touch, easy fitting. and opaqueness were considered importantly. and durability to chlorine, elasticity, color fastness, easy draining, lightness, and so on were demanded forward.

• Journal of the Korean Society of Costume
• /
• v.58 no.1
• /
• pp.133-150
• /
• 2008

The purpose of this study was to recognize of the sizing system and analyze the fitting on formal pants of the on-line shopping mall for plus-sized women. To pursue this purpose, the investigation of the sizing system was focused on 22 online companies. The formal pants of 7 companies was selected among them. And actual sizes were compared with the guidance sizes of goods. For the assessment about the fitting on formal pants of 7 online companies, these came to make on to 16 obese women with 'A' body shaped and 'O' body shaped. A data analysis used the SPSS 14.0 statistics program. To verify the difference, this study used the variance analysis and Duncan's test for the postmortem verification. The result was as follows. 1. All of 22 companies were using the symbol such as 88, 99, 100 and 110 in the present condition of sizing system. The information about products size was presenting the products size not to be the body size. the guidance sizes of products were different from actual sizes of 7 companies to be assorted. Therefore, the guidance sizes of goods could not accomplish the facility. 2. According to the fitting-tests by the sensory assessment, the obese women with 'A' body shaped, did the dissatisfaction at the items of the hip circumference, abdominal region, crotch deep and pants length. The obese women with 'O' body shaped, did the dissatisfaction at the the items of crotch deep and pants length.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.32 no.3
• /
• pp.349-361
• /
• 2008

The purpose of this study was to develop bodice basic patterns fitted on different body types of adult women. To meet this purpose, first, human bodies were measured using tight fitting technique and classified based on the shapes of upper trunk. The subjects were 214 women $20{\sim}39$ years of age. For the measurement of female upper trunk, tight fitting technique was utilized. The development of figures of upper trunks were obtained from women. These development of figures were then digitized and analysed using the PAD system. A total of 155 measurements were taken from each of the development of figures. then, 32 measurements were selected for the further analysis. As complimentary data, 22 direct body measurements using an anthropometric method and 23 body measurements using a photographic method from the side view pictures of the participants were also obtained. The results and discussions of this study are as follows: Using the body measurements from the development of figures, a factor analysis and a cluster analysis were conducted. As a result, the body types were classified into 5 different types, which differ in terms of bust volumes, shoulder slopes, shoulder tilts, back silhouettes, body axises. The prominent characteristics of each type are as follows: The first type has a large bust volume. The second type has a right figure. The third type has a rounded back silhouette. The fourth type has a back silhouette of scapular coming backward. Finally the fifth type has a shoulder tilted forward.

• The Journal of the Korea Contents Association
• /
• v.2 no.3
• /
• pp.1-15
• /
• 2002

A noel automated brain region extraction method in single channel MR images for visualization and analysis of a human brain is presented. The method generates a volume of brain masks by automatic thresholding using a dual curve fitting technique and by 3D morphological operations. The dual curve fitting can reduce an error in clue fitting to the histogram of MR images. The 3D morphological operations, including erosion, labeling of connected-components, max-feature operation, and dilation, are applied to the cubic volume of masks reconstructed from the thresholded Drain masks. This method can automatically extract a brain region in any displayed type of sequences, including extreme slices, of SPGR, T1-, T2-, and PD-weighted MR image data sets which are not required to contain the entire brain. In the experiments, the algorithm was applied to 20 sets of MR images and showed over 0.97 of similarity index in comparison with manual drawing.

• Journal of Fashion Business
• /
• v.13 no.2
• /
• pp.17-29
• /
• 2009

Due to rapid economic growth and accelerated urbanization, numerous cities in China have been turning into huge consumption markets almost simultaneously, and thus, the Chinese apparel markets being globalized are most vigorous in the world, attracting attention from the world apparel industries. If the Korean apparel businesses should develop the products befitting the conditions of the Chinese apparel markets and reflecting her consumers' fashion trends and needs, their apparels would be satisfactory enough to Chinese consumers, being competitive in the Chinese markets. In this sense, today's Chinese apparel markets may well provide the Korean apparel businesses with both crisis and opportunity. As one of the methods to enhance Chinese consumers' satisfaction with the Korean apparels, the Korean apparel businesses should consider seriously about the apparel fitting or a factor determining apparel silhouettes and sense of wearing. Since Chinese consumers differ widely in terms of body types and measurements depending on regions due to the vast territory, differentiation of the apparel fitting is more important than any other single factor, and thus, correct information about apparel fitting may well be directly related with manufacturing of excellent apparels. The purpose of this study is to comparatively analyze the upper body measurements and types of the Chinese and Korean women in their 20's to provide the Korean apparel business engaged in Chinese markets with some basic data about apparel fitting conducive to their development of effective apparel commodities. For this purpose, Chinese women in their 20's living in China's two major cities leading China's women's apparel markets were sampled.

• Journal of Radiation Protection and Research
• /
• v.45 no.4
• /
• pp.171-177
• /
• 2020

Background: This study aims to determine the effective atomic number (Zeff) from dual-energy image sets obtained using a conventional computed tomography (CT) simulator. The estimated Zeff can be used for deriving the stopping power and material decomposition of CT images, thereby improving dose calculations in radiation therapy. Materials and Methods: An electron-density phantom was scanned using Philips Brilliance CT Big Bore at 80 and 140 kVp. The estimated Zeff values were compared with those obtained using the calibration phantom by applying the Rutherford, Schneider, and Joshi methods. The fitting parameters were optimized using the nonlinear least squares regression algorithm. The fitting curve and mass attenuation data were obtained from the National Institute of Standards and Technology. The fitting parameters obtained from stopping power and material decomposition of CT images, were validated by estimating the residual errors between the reference and calculated Zeff values. Next, the calculation accuracy of Zeff was evaluated by comparing the calculated values with the reference Zeff values of insert plugs. The exposure levels of patients under additional CT scanning at 80, 120, and 140 kVp were evaluated by measuring the weighted CT dose index (CTDIw). Results and Discussion: The residual errors of the fitting parameters were lower than 2%. The best and worst Zeff values were obtained using the Schneider and Joshi methods, respectively. The maximum differences between the reference and calculated values were 11.3% (for lung during inhalation), 4.7% (for adipose tissue), and 9.8% (for lung during inhalation) when applying the Rutherford, Schneider, and Joshi methods, respectively. Under dual-energy scanning (80 and 140 kVp), the patient exposure level was approximately twice that in general single-energy scanning (120 kVp). Conclusion: Zeff was calculated from two image sets scanned by conventional single-energy CT simulator. The results obtained using three different methods were compared. The Zeff calculation based on single-energy exhibited appropriate feasibility.

• Communications for Statistical Applications and Methods
• /
• v.14 no.1
• /
• pp.205-213
• /
• 2007

In this paper, the normal mixture model subjected to general linear restriction for component-means based on linear regression is proposed, and its fitting method by EM algorithm and Lagrange multiplier is provided. This model is applied to gene clustering of microarray expression data, which demonstrates it has very good performances for real data set. This model also allows to obtain the clusters that an analyst wants to find out in the fashion that the hypothesis for component-means is represented by the design matrices and the linear restriction matrices.

• Journal of Korean Society for Quality Management
• /
• v.24 no.1
• /
• pp.137-145
• /
• 1996

We propose a model which is useful for the analysis of the spatial time series data. The proposed model utilized the linear dependences across the spatial units as well as over time. Three stage model fitting procedures are suggested and the real data is analyzed.

• Proceedings of the KIEE Conference
• /
• 1987.07b
• /
• pp.1390-1393
• /
• 1987

This paper describes the image data compression based on the image decomposition. We reduced the processing time using the segmentation based on the distribution of grey level, and obtained high compression rate using the Huffman run-length coding for the segmented image, and the 2-Dimensional least square curve fitting and the shift coder for each region.

• Analyses & Alternatives
• /
• v.5 no.1
• /
• pp.3-24
• /
• 2021

This paper introduces a multilevel item-response-theory (IRT) model as a unifying model for hypothesis testing using legislative voting data. This paper shows that a probit or logit model is a special type of multilevel IRT model. In particular, it is demonstrated that, when a probit or logit model is applied to multiple votes, it makes unrealistic assumptions and produces incorrect coefficient estimates. The advantages of a multilevel IRT model over a probit or logit model are illustrated with a Monte Carlo experiment and an example from the U.S. House. Finally, this paper provides a practical guide to fitting this model to legislative voting data.