• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.3
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• pp.117-124
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• 2021

The development of IOT technology and artificial intelligence technology is promoting the smartization of manufacturing system. In this study, data extracted from acceleration sensor and current sensor were obtained through experiments in the cutting process of SKD11, which is widely used as a material for special mold steel, and the amount of tool wear and product surface roughness were measured. SVR (Support Vector Regression) is applied to predict the roughness of the product surface in real time using the obtained data. SVR, a machine learning technique, is widely used for linear and non-linear prediction using the concept of kernel. In particular, by applying GSVQR (Generalized Support Vector Quantile Regression), overestimation, underestimation, and neutral estimation of product surface roughness are performed and compared. Furthermore, surface roughness is predicted using the linear kernel and the RBF kernel. In terms of accuracy, the results of the RBF kernel are better than those of the linear kernel. Since it is difficult to predict the amount of tool wear in real time, the product surface roughness is predicted with acceleration and current data excluding the amount of tool wear. In terms of accuracy, the results of excluding the amount of tool wear were not significantly different from those including the amount of tool wear.

• Fashion & Textile Research Journal
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• v.9 no.1
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• pp.35-40
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• 2007

Smart Clothing is digital wear progressed from wearable computer that the function of clothing is unified with that of a computer to extend human ability in everyday life. To study consumers' perception and responses toward the Smart Clothing, this study tested the influence of fashion innovativeness and technological innovativeness on attitudes and buying intention related to the Smart Clothing. Data were collected through a survey with 256 male and female adults in age from 18 to 45 year old. The results of Pearson correlation analysis revealed that there was not a positive relationship between fashion innovativeness and technological innovativeness. Multiple regression analysis indicated that fashion innovativeness was a significant predictor of attitudes and buying intention regarding the Smart Clothing. In addition, respondents were classified into four groups according to the scores of their fashion innovativenss and technological innovativeness. A series of ANOVA and Duncan test were used to determine if significant differences existed among four groups. The group having high level of innovativeness on both fashion and technology had the most positive attitudes toward smart clothing. The individuals having cognitive experiences of the Smart Clothing had higher level of fashion innovativeness and more positive attitudes to it. Based on these findings, recommendations for the developer of Smart Clothing and future research are offered.

• Journal of Fashion Business
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• v.18 no.3
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• pp.59-72
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• 2014

This study provides the structural design for commercialization of outdoor breathable waterproof jackets for men merged with solar cells to enable emergency communications, utilizing wearable devices to develop smart clothing and extend convenience in everyday life. The most popular waterproof jacket with two-layer and three-layer moisture-permeable waterproof fabric was selected, based on previous studies of functional outdoor jackets and style with affinity to fashion. Flexible solar films suitable for clothing were embedded in the lining of the sleeve area and hood visor, and printed film was developed to balance weight and design. High performance smart solar jackets have application to expanding the use of smart phones for everyday and emergency communication, and leisure and outdoor sports activities, as well as day-to-day functions as a waterproof breathable outdoor jacket for men. It is also eco-friendly. Satisfying both the aesthetic and practical, a solar cell jacket with smart features, is an innovative tool for use in a variety of outdoor activities, and a fashion-forward commercialized product.

• Fashion & Textile Research Journal
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• v.13 no.6
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• pp.926-933
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• 2011

The purpose of this research was to develop a smart wear equipped with wearable technologies for women in the age of 50's and 60's and confirm its acceptability. For this, we constructed a casual jacket that has the integration of heating and lighting function, and evaluated the user's satisfaction. The size of the heating device attached at the back of the jacket was 300 mm in width and 120 mm in length and the size of the one attached at the front abdomen was 180 mm in width and 120 mm in length. The power supplier was the unification of the battery and controller which have been waterproofed. The lighting device connected with LED was 26mm in width, 20 mm in length and 1.5 mm in thickness. It has been designed in a waterproofed rectangular shape and was attachable to the jacket. The satisfaction survey of a smart jacket has been conducted with three standards, which were convenience, appearance and practicality. Free physical movement among the standard of convenience had very high scores with the average of 4.7 on a five point-scale. The acceptability of the jacket was 4.6, which proved that it didn't have unique feelings compared to ordinary ones. The evaluation score of the appearance of the jacket was 4.5. Especially inside finishing of the jacket received the highest scores from all ages. According to the evaluation of practicality, there has been no change in the appearance of the jacket and the function of heating device after laundry.

• IEMEK Journal of Embedded Systems and Applications
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• v.12 no.3
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• pp.185-192
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• 2017

Due to the characteristics of low power, high durability and high density, NAND flash memory is being heavily used in various type of devices such as USB, SD card, smart phone and SSD. On the other hand, because of another characteristic of flash cell with the limited number of program/erase cycles, NAND flash memory has a short lifetime compared to other storage devices. To overcome the lifetime problem, many researches related to the wear leveling have been conducted. This paper presents a method called a TCB (Tracking Cold Blocks) using more reinforced constraint conditions when classifying cold blocks than previous works. TCB presented in this paper keeps a MCT (Migrated Cold block Table) to manage the enhanced classification process of cold blocks, with which unnecessary migrations of pages can be reduced much more. Through the experiments, we show that TCB reduces the overhead of wear leveling by about 30% and increases the lifetime up to about 60% compared to BET and BST.

• Fashion Information and Technology
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• v.11
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• pp.30-35
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• 2014

• Proceedings of the Korean Society of Dyers and Finishers Conference
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• 2009.03a
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• pp.221-222
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• 2009

• Journal of the Korean Society of Costume
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• v.61 no.3
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• pp.111-121
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• 2011

This paper intends to improve caddies' vocational efficiency, to increase the quality of caddies' services for customers, and further, to widen the application of smart clothes by proposing prototypes of smart uniforms in which caddies' vocational characteristics are reflected. The smart uniforms proposed by this study were restricted to those for spring and fall seasons and three types for a jacket, a turtle neck shirt, pants, and a jumper were proposed. Each design was developed to contain functionality and aesthetic, and also to be transformed subject to weather or other conditions. In addition, the uniforms were designed to carry not only a two-way radio and a remote controller for a cart that caddies necessarily carry, but also i-Pod, a distance meter, and other digital tools by use of solar cells. That is, this paper proposed the designs that can meet with caddies' vocational characteristics and different conditions. This paper is regarded meaningful in that smart clothes, which are forecasted as a future high value-added business, are applied to the uniforms of various job types so they can expand me existing functions of uniforms and further, think about the ways of being used for higher value-added products through the fusion with technologies.

• Journal of the Korean Society of Clothing and Textiles
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• v.46 no.3
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• pp.424-435
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• 2022

Aesthetic impression, structural stability, functionality during exercise, freedom of movement and physiological suitability should be considered when developing aquarobic wear for middle-aged women. We conducted a visual evaluation of the commercial aquarobic wear of the five brands (ARENA, TURN, RALLY, RENOMA and ELLE) with the highest market share and selected three items: one-piece type (OPT); two-piece type (TPT) and whole-body type (WBT). These are the most worn types of aquarobic wear for each brand. The G4 showed the best results in appearance evaluation of the shoulder strap width, front neckline, armhole line, side hip line and short pants length in the OPT category. The TPT had better ratings as the shoulder strap was located in the center of the shoulder, and the front and the back necklines were not too deep. The five items of WBT clothing received similar ratings for each element, so it is considered that the advantages are evenly distributed. No single design was a clear favorite. Based on the above results, continuous research on the development of aquarobic wear that is more suitable and preferable for middle-aged women should be conducted.

• Journal of Korea Multimedia Society
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• v.16 no.8
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• pp.962-971
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• 2013

In this paper, we propose a method to infer the user's behavior and situation through collected data from multi-sensor equipped with a smart clothing and it was implemented as a smart-phone App. This smart-clothes is able to monitor wearer users' health condition and activity levels through the gyro, temp and acceleration sensor. Sensed vital signs are transmitted to a bluetooth-enabled smart-phone in the smart-clothes. Thus, users are able to have real time information about their user condition, including activities level on the smart-application. User context reasoning and behavior determine is very difficult using multi-sensor depending on the measured value of the sensor varies from environmental noise. So, the reasoning and the digital filter algorithms to determine user behavior reducing noise and are required. In this paper, we used Multi-black Filter and SVM processing behavior for 3-axis value as a representative value of one.