• Fashion & Textile Research Journal
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• v.12 no.2
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• pp.214-218
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• 2010

This research was to judge on the gathered skirt's shape by visual images that was from the different gathered skirts according to different sewing conditions; fabrics(cotton, mixed-wool, polyester), ratio of gathers(1.5T, 2.0T, 2.5T). Questionnaire consists of 33 semantic differential scale expressing gathered skirt's image, and 10 items of the shape were measured by 3D measurements method. The data were analyzes by factor analysis, correlation analysis, ANOVA. The image of gathered skirts was composed of the five factors of activities, attraction, grace, softness, and ordinary and it was showed that these five factors occupied 68.4% of the total variance. The shape of gathered skirts was composed of the two factors of the side and the front, and it was showed that these two factors occupied 93.6% of the total variance. According to correlation analysis of visual shape, the front was significant in activities, attraction and ordinary, and the side was significant in activities, grace and ordinary. As a result of ANOVA, the visual images were significant in ratio of gathers. 2.5 ratio of gathered skirts were perceived to be more active and attractive, and 1.5 ratio of gathered skirts were more ordinary and graceful.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.7 s.155
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• pp.1034-1043
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• 2006

The purpose of this study was to investigate the difference of the visual evaluation about gathered skirts according to different gathering conditions and objects. The experiment is made of factorial design for three variables-fabric(cotton, wool, polyester), ratio of gathers(1.5T, 2.0T, 2.5T), objects(real thing, 2D digital picture, 3D shape). Questionnaire consists of 33 sematic differential scale expressing gathered skirts' image. The subjects were 50 male and female students majoring in clothing and textile. The data were analyzed by Frequency, Factor analysis, Anova, scheffe's test. The results obtained were summarized as follows; 1. As the open-ended response there were difference among the image according to different gathering conditions and obects. 2. The image of gathered skirts was composed of 6 factors; activities, attraction, attention, softness, moderateness, function. 3. For visual evaluation of gathering conditions as different objects, there were similar as softly in fabrics and lager in ratio of gathers. 4. For visual evaluation of different objects as gathering conditions, there was more difference effect of ratio of gathers than fabrics.

• Journal of the Korean Society of Clothing and Textiles
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• v.28 no.6
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• pp.776-783
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• 2004

The purpose of this study was to identify the reasonable gathering conditions as consider of effect of gathering and variation of silhouette made by gathering conditions. The experimental design consists of four factorial design: (1) three kinds of different weight and different thickness fabrics (2) three kinds of different stitch densities (3) five kinds of different ratio of gathers (4) three kinds of different angles. Therefore one hundred thirty five (135) samples were made. Data analysis utilize SPSS WIN 10.0 Package. The results of this study were as follows: 1. In the aspect of fabrics, it is shown the visual propriety that it is as thin as the small stitch, and as thick as the big stitch. 2. As stitch densities, it shows the different stabilized nodes. 3. In the aspect of ratio of gathers, it is shown the visual propriety that a few was small stitches, which help formations of nodes, and a lot were big stitches, which help increased the effect of gather. 4. In the aspect of angle of bias, the drape appearance was excellent as a sample of cutting by 0 angle(0$^{\circ}$) of bias. The big stitches that help formations of stabilized nodes, and a case of cutting by 45 angle(45$^{\circ}$) of bias was small stitch.

• Journal of the Korean Society of Clothing and Textiles
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• v.29 no.11
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• pp.1399-1409
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• 2005

The purpose of this study was to analyze the shape of gathered skirts using a three-dimensional measurement system. And in this experiment, I try to accumulate three-dimensional data of wearing model and to figure out analyzing method made by shape of clothes. The experimental design consists of two factorial designs. I set up three different kinds of fabrics, ratio of gathers. Therefore nine samples were made. The instrument and tools for three-dimensional measurement was whole body 3D scanner. Analysis program used in experiment is RapidForm 2004 PP1 and Pattern Design 2000. Data analysis utilizes SPSS WIN 10.0 Package. T-test to effect an inspection of evidence, there was difference about measurement times. One-way ANOVA to analysis effect of gather made by gathering conditions. The following results were obtained; 1. As a result of inspecting an error several times using a three-dimension measurement system, convinced data was obtained. 2. At front, distribution of gap amount was larger than back. And as ratio of gathers increased, distribution of gap amount showed regularly. 3. After analyzing horizontal sectional figure of skirts, as a height of skirt changed from waist to the bottom of skirts, the results showed as follows. While section width, section thickness, node width, node depth increased, node count decreased. 4. With the horizontal section levels of gather skirt, the silhouette on middle hip section was similar with the silhouette of body line. And as ratio of gathers around hip section increased, nodes showed regularly. At the bottom of skirts showed different nodes by different gathering condition.

• Journal of the Korea Fashion and Costume Design Association
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• v.7 no.1
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• pp.33-40
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• 2005

Gathering is method used to control fullness along a seam line. The purpose of this study was to investigate the relationship between the quantitative research and qualitative method; the effect of gather and the types of gather drape. The experimental design consists of four factors: (l) three kinds of different weight and thickness of fabrics (2) three kinds of stitch densities (3) five kinds of ratio of gathers (4) three kinds of grain directions. Therefore one hundred thirty five (135) samples were made. And utilized SPSS WIN 10.0 Package in data analysis. The results of this study were as follows; First, after frequency analysis, side height, hem line width, node depth, node count, node width accorded with these result data recording. Second, after correlation analysis, side height related with front statements. Side height and entire visual was negative correlation. Hem line width, node depth, node count with section statements was negative correlation but node width at section statements was positive correlation. Third, after $k^2$ analysis, front picture parts getting excellent evaluation were 1st side height, 3rd hem line width, 4th node depth, 3rd node count, 3rd node width. And section illustration parts getting excellent evaluation were 4th side height, 1st hem line width, 2nd node depth, 3rd node count, 4th node width.

• Korean Journal of Human Ecology
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• v.13 no.6
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• pp.959-966
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• 2004

The purpose of this research is to analyze the shape of gathered skirts made by different gatherings. The shape of gathered skirts is affected by the amount of the gatherings that control fullness along a waistline seam. The gap also has an effect on the shape. We made a few experiments to make gathered skirts in different gathering conditions. The conditions include two types of ratio of gathers, which were given the total amount of gathering, and two types of spread of gathers, which were calculated for waist and hip. Experiments were conducted to figure out the dressed shape through 3-D measurement Exyma- WBS, and also to investigate the proportion, area distribution, and gap of the shape of gathered skirts on the horizontal section map with Rapid Form 2004 SP3, a software for 3-D shape analysis. As the results show, there were differences among the proportion, area distribution, and gap of the dressed shape. It showed that the shape on the horizontal section map was different because the shape between waist and hip per parts on body was not the same.

• IEMEK Journal of Embedded Systems and Applications
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• v.12 no.2
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• pp.79-88
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• 2017

One of the important applications of activity sensing in the home is energy monitoring. Many previous methodologies for detecting and recognizing household appliances have been proposed. This paper presents an approach that uses an energy metering circuit (EMC) to classify and identify the various electrical devices in home based on root-mean-square (RMS) consumed current value. EMC gathers the RMS current values created by appliance state transition (e.g., on to off) and apparatus operating process. In this paper, an identification algorithm is proposed to detect a change in current levels using the standard deviation of current signals and their average values. In addition, characteristic of the appliance is extracted concerning four feature parameters concerning the number of current levels, the minimum level, the maximum level, and signal-to-noise ratio (SNR) of them. Experiment results validate the reliable performance of the proposed identification method for 11 representative appliances.

• The KIPS Transactions:PartA
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• v.8A no.2
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• pp.133-146
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• 2001

In a dynamic load distribution policies, each node gathers the current system sates information before making a decision on load balancing. Load balancing policies based on this strategy can suffer from processor thrashing. In this paper, we propose a new algorithm which attempts to decrease the frequency of the processor thrashing, the algorithm is based on the integration of three components. The first, the algorithm of which determine the size of jobs be transferred. The second, negotiation protocol with obtains a mutual agreement between a sender and a receiver on the transferring job size. And the third, a symmetrically-initiated location policy. The algorithm proposed in this paper used Siman IV as simulation tool to prove the improvement of performance. I analyzed the result of simulation, and compared with related works. The mean response time shows that there are no difference with existing policy, but appear a outstanding improvement in high load. The thrashing coefficient that shows the average response time, CPU overhead and the thrashing ratio at both the receiving and sending node has been used in the analysis. A significant improvement in the average response time and the CPU overhead ratio was detected using our algorithm when an overhead occurred in the system over other algorithm. The thrashing coefficient differed in the sending node and the receiving node of the system. Using our algorithm, the thrashing coefficient at the sending node showed more improvement when there was an overhead in the system, proving to be more useful. Therefore, it can be concluded that the thrashing ratio can be reduce by properly setting the maximum and minimum value of the system’s threshold queue.

• Journal of the Korean Society of Clothing and Textiles
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• v.30 no.11 s.158
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• pp.1598-1607
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• 2006

The purpose of this study was to analyze the proportion of gathered skirts using a three-dimensional measurement system. And in this experiment, we have attempted to accumulate three-dimensional data of wearing model and find out adequate methods for analyzing shape of clothes. The experimental design consists of two factorial designs. We established three different kinds of fabrics, ratio of gathers. The measurement tool for three-dimensional model was whole body 3D scanner(Exima-WBS2H). Analysis program used in experiment is RapidForm 2004 PP1 and Pattern Design 2000. Data analysis utilizes SPSS WIN 10.0 Package. As the results show, there were different effect of gather and proportion of shapes among the measurements of width, thickness and areas made by different lines of vision in cross-sectional silhouette. And there were difference shapes of section area at each part of gathered skirts between vertical-outline silhouette and vortical-plane silhouette made by gathering conditions. And also the cross-sectional silhouettes and vertical silhouettes were related to shape of clothes.

• Fashion & Textile Research Journal
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• v.9 no.5
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• pp.472-477
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• 2007

This study was intended to identify the constructing factors and hierarchy of images in the gathered skirts, which is expected to be helpful in shape classification. The gathered skirts were made by different gathering conditions: three kinds of the gathers ratio(1.5T, 2.0T, 2.5T) and different fabrics(cotton, mixed wool, polyester). 45 undergraduate and graduate women students responded to the nine gathered skirts during December in 2004 to February in 2005. 184 words expressing gathered skirt were collected through the investigation and analysis of questionnaires. 32 words arranged in based on the standard form with frequency before conducting factor analysis to identify the constructing factors of gathered skirt images. As a result of factors analysis, 2 factors-H shape, A shape were found out as constructing factors of gathered skirts. To explain the hierarchy of gathered skirt images, cluster analysis was applied. To observe the association of 32 words, dendrogram was introduced, and to interpret the result, five sub clusters were determined. This 5 clusters were continuously combined according to their frequency, based on the factors marks. Two major division of image clusters were 'simple and neat image', and 'fairly good and feminine image'.