• Journal of the Korea Fashion and Costume Design Association
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• v.16 no.4
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• pp.99-116
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• 2014

The purpose of this study was to examine the state of scrub wearing among scrub uniforms medical staff. The results of the research is the following. First, As for the state of scrub uniforms, they wore scrubs only while they gave medical treatment and took care of routine work. Regarding the design of their current scrubs, type 1 was dominant, and the most common color was dark sky blue. Second, Concerning considerations for scrub design, they answered that scrubs should be designed to give no inconvenience during job performance. As for the image, they placed the most importance in a clean image due to hygiene. In relation to preference for color, pattern and materials, they had the most preference for dark blue, no pattern and materials that would not easily be contaminated. Third, As to preference for the length of the top, they were most fond of hip length, and short sleeves were their favorite length of sleeve. Concerning the design of the front and the back of the top, they had a liking for a box style with no straight cutting line. As for the design of the neckline, hem and pocket of the top, they had the most preference for round neckline, square bottom and round patch pocket respectively. Fourth, when the design preference of the respondents was analyzed, there were a difference between the men and the women in preference for neckline design. The women had a liking for round neck, whereas the men were fond of V neck. And the women showed a higher preference for rubber waistband than the men for the waist design of the pants. No gender differences were found in preference for color, pattern and the length of the top.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.288-296
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• 2021

Automated face recognition in a runtime environment is gaining more and more important in the fields of surveillance and urban security. This is a difficult task keeping in mind the constantly volatile image landscape with varying features and attributes. For a system to be beneficial in industrial settings, it is pertinent that its efficiency isn't compromised when running on roads, intersections, and busy streets. However, recognition in such uncontrolled circumstances is a major problem in real-life applications. In this paper, the main problem of face recognition in which full face is not visible (Occlusion). This is a common occurrence as any person can change his features by wearing a scarf, sunglass or by merely growing a mustache or beard. Such types of discrepancies in facial appearance are frequently stumbled upon in an uncontrolled circumstance and possibly will be a reason to the security systems which are based upon face recognition. These types of variations are very common in a real-life environment. It has been analyzed that it has been studied less in literature but now researchers have a major focus on this type of variation. Existing state-of-the-art techniques suffer from several limitations. Most significant amongst them are low level of usability and poor response time in case of any calamity. In this paper, an improved face recognition system is developed to solve the problem of occlusion known as FRS-OCC. To build the FRS-OCC system, the color and texture features are used and then an incremental learning algorithm (Learn++) to select more informative features. Afterward, the trained stack-based autoencoder (SAE) deep learning algorithm is used to recognize a human face. Overall, the FRS-OCC system is used to introduce such algorithms which enhance the response time to guarantee a benchmark quality of service in any situation. To test and evaluate the performance of the proposed FRS-OCC system, the AR face dataset is utilized. On average, the FRS-OCC system is outperformed and achieved SE of 98.82%, SP of 98.49%, AC of 98.76% and AUC of 0.9995 compared to other state-of-the-art methods. The obtained results indicate that the FRS-OCC system can be used in any surveillance application.

• The Journal of Korea Robotics Society
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• v.16 no.4
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• pp.336-344
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• 2021

This paper presents a robust deep learning-based human tracking framework in crowded environments. For practical human tracking applications, a target must be robustly tracked even in undetected or overcrowded situations. The proposed framework consists of two parts: robust deep learning-based human detection and tracking while recognizing the aforementioned situations. In the former part, target candidates are detected using Detectron2, which is one of the powerful deep learning tools, and their weights are computed and assigned. Subsequently, a candidate with the highest weight is extracted and is utilized to track the target human using a Kalman filter. If the bounding boxes of the extracted candidate and another candidate are overlapped, it is regarded as a crowded situation. In this situation, the center information of the extracted candidate is compensated using the state estimated prior to the crowded situation. When candidates are not detected from Detectron2, it means that the target is completely occluded and the next state of the target is estimated using the Kalman prediction step only. In two experiments, people wearing the same color clothes and having a similar height roam around the given place by overlapping one another. The average error of the proposed framework was measured and compared with one of the conventional approaches. In the error result, the proposed framework showed its robustness in the crowded environments.

• The Research Journal of the Costume Culture
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• v.17 no.5
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• pp.807-818
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• 2009

This study is to present a female high school summer blouse with high movement functionality and satisfying appearance, surveyed the students for their understanding of summer blouse. Experimental study's research method was questionnaire survey. By using questionnaires, the satisfaction and comfort of each region of the current worn summer blouse was analyzed. The results of this research are as follows. After surveying 371 high school students in the Daejeon region on the currently worn summer blouse comfort levels, 48.4% showed dissatisfaction about the width of the sleeves and the armpits and over 93% wanted the use of elastic materials as an alternative. After investigating the summer blouses' mending state, 41% of students that mending their clothes chose the alternation of reducing the overall silhouette of the blouse in all areas. This reflects the female high school students' mentality that thin body shape is the ideal.

• Journal of the Korean Home Economics Association
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• v.33 no.1
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• pp.203-210
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• 1995

The purpose of this study was to investigate the weights of clothing that middle school girl students are wearing and ghow athe students evaluate their comfort sensations for the state-of-clothing and classroom conditions. The results obtained were as follows. 1. Average total weights of clothing of each month were 795.5g/m2 for May(23.4$^{\circ}C$), 539-590.6g/m2(26.0-31.2$^{\circ}C$) from June to August, 723.6g/m2 for September(25.6$^{\circ}C$) and 980.2g/m2 for October(24.$0^{\circ}C$). 2. Total weight was changed markedly from May to June and from september to October. The change was mainly by tops. Not much change was observed for the bottoms due to the fact that students were blue jeans irrespect of the environmental conditions. 3. Not significant relationship was observed between clothing weights adn comfort sensations. When the classroom temperature was 23.4$^{\circ}C$, more than 50% of the students answered comfortable. 4. Negative correlation was observed between amount of bottoms weight and Rohrer Index; in other words, fat students were less bottoms such as pants of skirts. 5. Negative correlation was observed between physical finess and amount of under shirts at the month of May, June and October; students with igher physical fitness scores wear less under wear when the environmental temperature changes.

• Journal of the Korean Society of Costume
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• v.50 no.5
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• pp.103-115
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• 2000

There are various presentation methods of apparel products on the internet shopping mall. The objective of this study was (a) to identify the effect of information supply about the criteria to evaluate a garment according to presentation methods and (b) to investigate the relation between the consumer's evaluation of presentation methods and confidence in purchase decision. For this experiment. 4 presentation methods of jean were selected from internet shopping mall. They were rotating appearance on the body, enlarged product picture, apparel items coordination method and just picture of wearing appearance. Each presentation method was evaluated by panels using questionnaire. Consumer's evaluation of presentation methods were developed 5 point likert scale. The major findings drawn from this study were as follows : 1. There were significant differences in degree of information supply about product criteria according to presentation methods. Enlarged product picture introduction was good for confirmation of sewing state, fabric and detail. Apparel items coordination method was good for judgement of styling and current fashion suitability. 2. Dimension of information evaluation was composed of providing pleasure, utility of information, reliability & attractiveness, negative emotions. All of these factors affect confidence in purchase decision and intention of revisiting the site. The most important factor for confidence in purchase decision making was reliability & attractiveness. as compared to this, intention of revisiting the site was more influenced by providing pleasure.

• Journal of Fashion Business
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• v.16 no.3
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• pp.125-135
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• 2012

Since knitted textile products mostly do not require long span of time from the conception to the final products, they have lead the fashion trends during the recent decades. Developments in the textile engineering industries, and computer software and hardware industries have made the 3D virtual clothing software system easily accessible by the fashion/textile industry personnel. The simulated models of apparel products using the state-of-the-art virtual clothing systems are, however, not the replica of real-world garments. Moreover, the garments do not maintain fixed shapes during wearing. Deformations at low external stress lead to difficulties in predicting the behavior of the knitted garments. Therefore, there is a need to compare the differences in appearances, textures, or other related properties between simulated fabrics and actual fabrics. Three knit stitches including jersey, rib, and cable stitches are examined in this study. The differences between fluffy thick yarns and thin yarns are also compared using 3D scanning and surface reconstruction. Obtained three-dimensional data regarding the reconstructed knit specimens would help to build a data base for estimating the behavior of the 3D models of the knitted garments.

• Fashion & Textile Research Journal
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• v.11 no.6
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• pp.918-924
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• 2009

As the population of overweight and obese children is rising rapidly around the world, there are many researches on purchasing and wearing children's clothing and optimal sizes, but researches on obese children are still inadequate. This study was carried out on 192 obese children over 75% in BMI. The purpose of the study was to set up the optimal interval of sizing system using the loss function which would be a guide for obese children for selecting ready to wear of suitable size. Introducing a loss function, which reflects how much the purchasing desire changes according to the difference, we formulate the problem and suggest a procedure to determine the optimal standard sizes minimizing the loss. These results were as follows ; In size chart of top's, 4 sizes had been determined by a loss function, had covered more than 91.1% of all subjects. In size chart of bottom's, 5 sizes had been determined by a loss function, had covered more than 87.0% of all subjects.

• Korean Journal of Human Ecology
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• v.16 no.6
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• pp.1211-1221
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• 2007

To provide the basic information of the brassiere development for women with poor breast, we performed the survey on their wearing habits for brassieres by comparing the poor breast type women and the normal breast type women. Also, to suggest the advanced design methods for the mould brassiere for the poor breast women, we conducted the subjective wear test of commercial mould brassieres and measured the local thickness for mould cup under various loads. As the results, the good fitness of cup and wire, the natural wear silhouette, and the adaptation of soft and stretchy material for mould cup were very important to design the comfortable brassiere for the poor breast type. The good-fitness of upper cup was the key factor for the satisfactory wear appearance of brassiere and the cup should be designed not too thick at the upper and the bust point regions.

• The Research Journal of the Costume Culture
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• v.24 no.6
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• pp.788-802
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• 2016

Sportswear transforms itself into a new fashion item to satisfy desires for beauty in addition to having functionality and movability for sports activities. Sportswear is not in fashion just temporarily but comes in various forms along with sociocultural phenomenon that put emphasis on well-being and leisure. This research aims to study the needs of the bikers who ride bicycles or cycles has become a popular outdoor activity, and give suggestions for high functional sports design that can satisfy the needs of the highly demanding taste of athletes. To understand the design development direction and design preference, practical consumer needs were derived through a survey analysis on bike wear purchasing satisfaction and actual wearing state by bike riders. For consumer needs analysis, focus group interview, in-depth interview and questionnaire method were used. Based on analysis of those researches, athleisure bike wears appropriate for urban sports activities were categorized into sports, life, fitness and leisure 4 styles for athleisure bike wear design development. It is believed that this study will contribute to in the category expansion of sports wear market and satisfy the consumer demands for functional and specialized casual bike wears as well as fashion factors optimized to life style of modern people.