• Journal of Fashion Business
• /
• v.22 no.1
• /
• pp.1-19
• /
• 2018

The purpose of this study is to analyze the fashion style of Kate Middleton, the Royal Family, and to examine the social and cultural influence of Middleton fashion. We selected 314 photographs collected from a Google site and Gettyimages.com April 2011-December 2016 as the final research subjects. We categorized the situation by domestic events, royal events, diplomatic activities, and social contribution activities, and analyzed fashion styles focusing on item composition, color, material, silhouette, detail, trimming, and length. As a result of the study, the one piece was the highest in the combination of items, and the color was the most in white. The color tones were mostly vivid, and the material texture was silky. The image was classic, and the dress code was high in semi-formal. In a situational style, the coat was the most common at the Royal Family events and blue or white of the light tones appeared in the formal style of the classic image. In domestic events, there were many silky textures of modern image, and vivid, strong tonal knee length H line dress was the most prevalent. During diplomatic activities, various colors such as red, green, gray appeared in addition to blue or white and in social contribution activities, many dresses of vivid and dark tones of red appeared in the dress code as semi-formal. In conclusion, the stylistic features of Kate Middleton and the Royal Family are largely in the form of royal and noble, low cost and chic, and body-conscious styling.

• KIPS Transactions on Software and Data Engineering
• /
• v.7 no.12
• /
• pp.477-484
• /
• 2018

Due to the advancement of computer and information technologies, numerous papers have been published. As new research fields continue to be created, users have a lot of trouble finding and categorizing their interesting papers. In order to alleviate users' this difficulty, this paper presents a method of grouping similar papers and clustering them. The presented method extracts primary keywords from the abstracts of each paper by using TF-IDF. Based on TF-IDF values extracted using K-means clustering algorithm, our method clusters papers to the ones that have similar contents. To demonstrate the practicality of the proposed method, we use paper data in FGCS journal as actual data. Based on these data, we derive the number of clusters using Elbow scheme and show clustering performance using Silhouette scheme.

• Journal of Broadcast Engineering
• /
• v.24 no.2
• /
• pp.264-272
• /
• 2019

In this paper, we propose a 3D human body reconstruction and refinement method from the frames extracted from a video to obtain natural and smooth motion in temporal domain. Individual frames extracted from the video are fed into convolutional neural network to estimate the location of the joint and the silhouette of the human body. This is done by projecting the parameter-based 3D deformable model to 2D image and by estimating the value of the optimal parameters. If the reconstruction process for each frame is performed independently, temporal consistency of human pose and shape cannot be guaranteed, yielding an inaccurate result. To alleviate this problem, the proposed method analyzes and interpolates the principal component parameters of the 3D morphable model reconstructed from each individual frame. Experimental result shows that the erroneous frames are corrected and refined by utilizing the relation between the previous and the next frames to obtain the improved 3D human reconstruction result.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.31 no.6
• /
• pp.1105-1114
• /
• 2021

Due to the recent surge in popularity of cryptocurrency, the threat of cryptojacking, a malicious code for mining cryptocurrencies, is increasing. In particular, web-based cryptojacking is easy to attack because the victim can mine cryptocurrencies using the victim's PC resources just by accessing the website and simply adding mining scripts. The cryptojacking attack causes poor performance and malfunction. It can also cause hardware failure due to overheating and aging caused by mining. Cryptojacking is difficult for victims to recognize the damage, so research is needed to efficiently detect and block cryptojacking. In this work, we take representative distinct symptoms of cryptojacking as an indicator and propose a new architecture. We utilized the K-Nearst Neighbors(KNN) model, which trained computer performance indicators as behavior-based dynamic analysis techniques. In addition, a K-means model, which trained the frequency of malicious script words for script similarity-based static analysis techniques, was utilized. The KNN model had 99.6% accuracy, and the K-means model had a silhouette coefficient of 0.61 for normal clusters.

• Korean Institute of Interior Design Journal
• /
• v.23 no.2
• /
• pp.71-79
• /
• 2014

The purpose of this study is to elucidate that photo, which has been used as original photo's purpose of information transfer in modern age, is now used as romantic reproduction which is the communication methods of architect's idea and thought through photographic vision which is beyond photograph own capabilities. The photos of Mies van der Rohe and Le Corbusier's architectural works are taken as an example for studying and analysing the way of deliverying the concept of creative work in the functional spaces in the modern era. It looked at the way of modern archirecture configuration, which architects wanted to show by pictures, such as concurrency, movement, sense of exhibition and concept of time-space and planarity on photographic vision such as multiview, movement, daily life exclusion, scenography and perspective loss. Reflecting that, I presents Le Corbusier and Mies van der Rohe's intention through photo by analyzing their picture of architecture by way of photograph techniques-camera position moving, over exposure, photomontage, silhouette technic and overlap technic. Mies van der Rohe and Le corbusier demonstrated the change and manipulation of the their architectural photos in different point of view. They express their architectural theories by photos of their works and overcome the limitation of expression of constructed building designed by them. The photos of architects's works in the case study with photos and descriptions introduce to their design concept. The design concept of the architects have become ideal concept for many contemporary architects and keep reproducing through the photos of their architectural works.

• Journal of the Korea Fashion and Costume Design Association
• /
• v.11 no.2
• /
• pp.75-84
• /
• 2009

The following research analyzed the sewing teaching of the tailored jacket shown in fashion textbooks, which are currently used in universities and educational organizations in the fashion industry. To analyze the sewing teaching of tailored jackets, we analyzed 35 textbooks in the market. Among them we used 14 textbooks which dealt with the patter formation method of tailored jackets, and cutting and sewing methods. First, the stitching direction and the location of attachment varied. The type of sticking tape and its position also differed, emphasizing the need to make an institutionalized education material which is based on the characteristic of the fabric and its silhouette. Second, controlling the ease length of the right side sewing princess line, or information about the shoulder line and sleeve line of the notch as not specifically shown in the textbooks. Furthermore, not many textbooks showed how to pull the lower part of the texture out of sight, nor did they explain why this needed to be done. Third, the lining is usually slightly larger than the outer texture of the clothing, as the lining is usually tugged in the sewing process, and this method makes the clothes more comfortable. The method of sewing the princessline $0.2{\sim}0.3cm$ outside the outer pattern was the most recommended. The center-back side was usually 2cm in activity measurements, but it turned out that a textbook which required ease treatment on the shoulder line did not do so on the lining material. The textbooks used in this research dealt only with how to manufacture a tailored jacket without full explanation about textures which could influence the manufacturing. The production method and process differed between different textbooks, showing the need to make a institutionalized education material. In a quickly-changing era where there is rapid change in the dressmaking procedure, we need to help students understand the process more easily through a formalized education process.

• Journal of the Korean Society of Costume
• /
• v.66 no.8
• /
• pp.46-60
• /
• 2016

Countries have different brassiere patterns, and this study produced and compared 3/4 brassiere patterns from different countries to determine the difference in patterns, and to investigate the stress distribution and shape of cross section while wearing brassieres using 3D virtual fitting system. Despite the growing interest in underwear, there is a lack of related books and research on brassiere patterns, which causes the difference in sizes and pattern drafting methods by countries. Thus, research on this is needed. 3D virtual fitting system has been introduced to compare patterns, thereby improving visible effects and reducing the loss in cost caused by underwear pattern fitting test. According to the result of pattern analysis, The Secoli type exhibited the least breast cover rate (14.9 cm), while the largest cover rate was shown in Christina and ESMOD types (17.7 cm). It is believed that the difference in pattern drafting causes the difference in the total length of a brassiere. Furthermore, the Secoli, Moda Burgo, and ESMOD brassieres drafted from basic bodice pattern were found to be longer than the Christina and Han Sunmi brassieres attained from direct pattern drafting. Moreover, the darts' volume of upper and lower cups in Christina and Han Sunmi types was similar in shape. The shapes of cradle drafted from basic bodice pattern were a straight line, while those from direct drafting formed a curved shape. In fitting multiple cross sections, the Secoli, Moda Burgo, and ESMOD brassieres had gaps between the brassieres and the body. Among these, the largest number of gaps was observed in the ESMOD type pattern. This study aimed at performing comparative analysis of various brassieres' pattern drafting types as a basic research for developing a brassiere pattern drafting type.

• Journal of Satellite, Information and Communications
• /
• v.9 no.1
• /
• pp.57-64
• /
• 2014

Recently, many human-friendly communication methods have been studied for human-machine interface(HMI) without using any physical devices. One of them is the vision-based gesture recognition that this paper deals with. In this paper, we define some gestures for interaction with objects in a predefined virtual world, and propose an efficient method to recognize them. For preprocessing, we detect and track the both hands, and extract their silhouettes from the low-resolution hand images captured by a webcam. We modeled skin color by two Gaussian distributions in RGB color space and use blob-matching method to detect and track the hands. Applying the foodfill algorithm we extracted hand silhouettes and recognize the hand shapes of Thumb-Up, Palm and Cross by detecting and analyzing their modes. Then, with analyzing the context of hand movement, we recognized five predefined one-hand or both-hand gestures. Assuming that one main user shows up for accurate hand detection, the proposed gesture recognition method has been proved its efficiency and accuracy in many real-time demos.

• Korean Journal of Human Ecology
• /
• v.15 no.4
• /
• pp.585-595
• /
• 2006

The purpose of this study is to classify the fashion images on sportive style, to find out the difference between the image of sportive style which consumers prefer and the image of sportive style which they want to show and, finally, to analyze their purchase behavior. This research is done with survey method. The subjects of the survey are 835 females in their twenties or their thirties in Pusan area. The data are analyzed with factor analysis, Cronbach's alpha, $X^2$-test, and frequency analysis. The results of this study are as follows: first, sportive style is classified into Sexy, Romantic, Active and Modem image. Second, the results of analysis on consumers' preferring image and their wanting-to-show image to the above-mentioned image classification are as follows: firstly, the subjects' most preferring image and the image which they most want to show is Modem in1age. The second is Sexy image. But the subjects preferred having Modem image. Secondly, consumers' Individuality and apparel's Function are the important reasons to choose the sportive style. Thirdly, Modem image is the most preferred in the images of street wear. Sexy image and Active image are the preferred in the images of sports wear. Third, It is a vivid tone and a dark tone that is the color tone of sportive wear which consumers prefer. They prefer a logo- patterned sports wear, too. The consumers obtain most information on sports wear from sports wear stores. Silhouette is the most decisive design element in consumers' purchasing. The sports wear brands which the subjects prefer are Adidas and Nike.

• Journal of the Institute of Electronics Engineers of Korea SC
• /
• v.47 no.5
• /
• pp.62-68
• /
• 2010

This study is to identify target locations with low false alarms on thermal infrared images obtained from natural environment. The proposed method is different from the previous researches because it uses morphology filters for Gabor response images instead of an intensity image in initial detection stage. This method does not need precise extracting a target silhouette to distinguish true targets or clutters. It comprises three distinct stages. First, morphological operations and adaptive thresholding are applied to the summation image of four Gabor responses of an input image to find out salient regions. The locations of extracted regions can be classified into targets or clutters. Second, local texture features are computed from salient regions of an input image. Finally, the local texture features are compared with the training data to distinguish between true targets and clutters. The multi-layer perceptron having three layers is used as a classifier. The performance of the proposed method is proved by using natural infrared images. Therefore it can be applied to real automatic target detection systems.