• International journal of advanced smart convergence
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• v.9 no.4
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• pp.132-138
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• 2020

Worldwide, the number of corona virus disease 2019 (COVID-19) confirmed cases is rapidly increasing. Although vaccines and treatments for COVID-19 are being developed, the disease is unlikely to disappear completely. By attaching a smart sensor to the respirator worn by medical staff, Internet of Things (IoT) technology and artificial intelligence (AI) technology can be used to automatically detect the medical staff's infection symptoms. In the case of medical staff showing symptoms of the disease, appropriate medical treatment can be provided to protect the staff from the greater risk. In this study, we design and develop a system that detects cough, a typical symptom of respiratory infectious diseases, by applying IoT technology and artificial technology to respiratory protection. Because the cough sound is distorted within the respirator, it is difficult to guarantee accuracy in the AI model learned from the general cough sound. Therefore, coughing and non-coughing sounds were recorded using a sensor attached to a respirator, and AI models were trained and performance evaluated with this data. Mel-spectrogram conversion method was used to efficiently classify sound data, and the developed cough recognition system had a sensitivity of 95.12% and a specificity of 100%, and an overall accuracy of 97.94%.

• Journal of Internet Computing and Services
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• v.22 no.3
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• pp.9-16
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• 2021

This study aims to develop a human activity recognition (HAR) system as a Deep-Learning (DL) classification model, distinguishing various human activities. We solely rely on the signals from a wristband accelerometer worn by a person for the user's convenience. 3-axis sequential acceleration signal data are gathered within a predefined time-window-slice, and they are used as input to the classification system. We are particularly interested in developing a Deep-Learning model that can outperform conventional machine learning classification performance. A total of 13 activities based on the laboratory experiments' data are used for the initial performance comparison. We have improved classification performance using the Convolutional Neural Network (CNN) combined with an auto-encoder feature reduction and parameter tuning. With various publically available HAR datasets, we could also achieve significant improvement in HAR classification. Our CNN model is also compared against Recurrent-Neural-Network(RNN) with Long Short-Term Memory(LSTM) to demonstrate its superiority. Noticeably, our model could distinguish both general activities and near-identical activities such as sitting down on the chair and floor, with almost perfect classification accuracy.

• Journal of the Korean Home Economics Association
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• v.49 no.3
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• pp.1-10
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• 2011

This paper reports on a study of the morphological design trends and characteristics of vests in contemporary fashion for women. A review of the relevant literature was conducted, and visual images found in various collections displayed in local and foreign papers and on internet web sites over the period 2001 to 2009 were analysed. The analysis of the vest designs showed that 78% had no collar, 41.8% were waist-length, 70.5% used general fabrics of various colors and patterns, 98.2% had a single fastening system, 69.8% used buttons for fastening, and 67.4% were intended to be worn as outwear over inner wear items such as a shirt or blouse. The trends in vest design were characterized by the expression of an androgynous image, by creative diversity and by an escape from traditional forms.

• Journal of the Korean Society of Costume
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• v.62 no.3
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• pp.1-16
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• 2012

The purpose of this dissertation is to examine the various types of hooded garments that have been worn after the $20^{th}$ century, and to analyze the aesthetic values of them. The study examined various types of hooded garments with diverse significances based on literature and case studies on the history of garments, news paper articles and the Internet. Since the $20^{th}$ century, there has been a variety of hooded garments, such as monk dresses, hoodies, anoraks, duffle coats, some protective clothing, and designers' hooded clothes. Through this research, the study found that the aesthetics of hooded garments after the mid-20th century were as follows: physical protection, anonymity, psychological refuge, fashionability and high-functionality.

• The Research Journal of the Costume Culture
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• v.17 no.6
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• pp.1009-1020
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• 2009

This study aims to express the androgynous image via shirts as a fashion item. Shirts are widely worn as a fashion item regardless of sex and age, with growing importance as a casual outer, with the increase in leisure activities driven by the recent implementation of the 5-Day Work Week system in Korea. As for the theoretical background, the study was reviewed previous studies of books, thesis, a series of publication, and the Internet sites on this topic. Through a careful analysis of these previous studies, it designed and made shirts that inspired by androgynous image. Conclusions of this study are as follows: First, the study found that meanings of symbolism in clothing continue to change, not fixed at all, depending on historic and cultural environments, and so does symbolism for femininity and masculinity of clothing. Second, shirts are widely worn as a fashion item regardless of sex and age, with growing importance as a casual outer, with the increase in leisure activities driven by the recent implementation of the 5-Day Work Week system in Korea. Third, two patters were used for the work in this study in order to emphasize its form, along with mono color white and stripe patterns. For materials, cotton and blend as a most basic material for a shirt were used with unique variations in the form. Fourth, decorative details or trimming such as ribbon tying methods, shirring, attaching in layers, and irregular pleading widely used for women's wear were applied, and silhouettes with strong drape feelings were used to add feminine feature to men' shirts, in an effort to propose a fashion design of the androgynous look. Fifth, clothes proposed in this study are different from feminine clothing item blouse, because they are androgynous shirts mixing masculinity and femininity. Stiff pads were used in collars and cuffs characteristics of men's traditional shirts to maintain masculinity of a shirt, and design was developed by adding feminine decorative elements, which is different from women's blouse.

• Journal of the Korean Society of Clothing and Textiles
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• v.37 no.8
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• pp.1029-1043
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• 2013

The pearl is a highly valuable gem that has historically represented wealth and power. Pearl necklaces have developed intro various types and represent an essential status item for modern women. This study first examines the symbolic and various meanings of pearls. Second, this study examines wearing types and pearl necklace patterns based on historical figures and modern fashion icons famous for personal displays of pearls. This study examines and analyzes various specialty publications about jewels, history of costumes, fashion magazines, academic research data, and internet search results. The conclusion of this study is as follows. Pearls have various symbolic meanings that are unlike other gems. Pearls represent purity, innocence, marital fidelity, an intimate relationship with the moon, frozen tears of God, solitude, triumph over adversity, wisdom, and sensual attraction. The societies and people traditionally famous for pearls were the Roman Empire, Queen Cleopatra of Egypt, Queen Theodora of the Byzantine Empire, Queen Elizabeth I, Queen Marie Antoinette, Empress of Eugenie Napoleon III, and Queen Alexandra. They showed a special affection for pearl necklaces and various wearing patterns unique to the time. Their pearl necklaces became a historic and symbolic legacy. Reestablished through the costume jewelry of cultivated pearls designed by Coco Chanel in the $20^{th}$ century, the pearl necklace has showed a variety of fashion trends in addition to a traditional symbolism of wealth and power. Josephine Baker, Louise Brooks, Marilyn Monroe, Elizabeth Taylor, Jacqueline Kennedy, Queen Elizabeth II, Princess Diana, Michelle Obama and Sarah Jessica Parker have worn notable pearl necklaces and established an individual style that utilizes the adornment of fashionable and stylish pearl necklaces. They have worn pearl necklaces while applying various fashion trend motifs to symbolic pearl features of that have changed the perception of the pearl and themselves.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.7
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• pp.1046-1055
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• 2008

The purpose of this study is to investigate the effects of product variables(i.e., fashionability, brand fame) and situational variables(i.e., time constraint, usage occasion) on the internet browsing behavior (i.e., prepurchase search; ongoing search for products, stores, fashion trends, promotions, and post-purchasing information) for fashion products. This study developed hypothetical scenarios based on the factorial design of the two independent variables for the survey with a questionnaire. All items in the questionnaire were measured on a six-point scale. By convenience sampling and on-line survey, a total of 209 usable responses were used for further analyses. The results show as follows; firstly, respondents more intensively browse for information search on products, stores and fashion trends when the style of browsing products is trendy. Secondly, whether the fashion products have a famous brand name or not has a significant influence on browsing behavior for stores and fashion trends information search. Thirdly, time constraint is found to influence significantly on respondents' browsing for promotions information search. Lastly, occasion for product worn shows a significant influence on browsing behavior for stores and fashion trends information search. The managerial implications are provided based on findings.

• The Research Journal of the Costume Culture
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• v.20 no.5
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• pp.709-724
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• 2012

This study examined the characteristics of costumes worn at Halloween parties, a form of cultural entertainment commonly seen in the U.S. The Halloween party culture involves children and adolescents wearing costumes, decorating their bodies, and mimicking famous characters. Furthermore, the types and motifs of Halloween costumes have become a means of expressing individuality. This study conducted empirical research on how such motifs were reflected in modern Halloween party-wear in order to provide basic data regarding the development and design of Halloween costumes and the formation of the related entertainment culture. This study researched the shape of costumes and the type of traditional motif presented in these costumes, as well as analyzed the symbolic meaning of each motif. The research process was as follows. First, this study investigated the origin and evolution of Halloween by researching precedent studies, books, and internet data. Second, this study extracted the types of traditional Halloween motifs by analyzing the characteristics and symbols of Halloween costumes commonly presented in such materials. After collecting 547 Halloween-related images from U.S. and Korean Internet websites, this study sorted and analyzed images that could represent traditional Halloween motifs. According to the results, representative traditional Halloween motifs included black cats, white rabbits, tridents, scarecrows, skull and bones, ghosts, witches, vampires, bats, werewolves, and jack-o-lanterns(pumpkins, etc.). The sentiments for such traditional Halloween motifs changed according to era and race. The symbolic meaning would continuously change - from positive to negative and vice versa - to reflect various socio-cultural phenomena. The results of this study are expected to be used as basic data for developing Halloween costume designs and the related entertainment culture.

• Journal of Global Scholars of Marketing Science
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• v.15 no.2
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• pp.1-25
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• 2005

Unlike the traditional bricks-and-mortar marketplace, the online environment includes several distinct factors that influence Web site trust. As consumers become more savvy about the Internet, the author contends they will insist on doing business with web companies they trust. This study examines 1) how Web site trust is affected by the following web purchase-related factors: security, privacy, brand name, word-of-mouth, good online experience, and quality of information, and 2) how it influences outcomes. Unlike Urban and colleagues' study (2000), the author argues that not all e-trust bUilding programs guarantee success in building Web site trust. In addition to the mechanism depending on a program, building e-brand trust requires a systematic relationship between a consumer and a particular web site. The findings show that Web site trust does not build one or two components but are established by the interrelationships of complex components. By carefully investigating these variables in formulating marketing strategies, marketers can cultivate brand loyalty and gain a formidable competitive edge.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.6
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• pp.139-144
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• 2019

For recent decades, Non-volatile Memory (NVM) technologies have been drawing a high attention both in industry and academia due to its high density and short latency comparable to that of DRAM. However, NVM devices has write endurance problem and thus the current data structures that have been built around DRAM-specific features including unlimited program cycles is inadequate for NVM, reducing the device lifetime significantly. In this paper, we revisit a red-black tree extensively adopted for data indexing across a wide range of applications, and make it to better fit for NVM. Specifically, we observe that the conventional red-black tree wears out the specific location of memory because of its rebalancing operation to ensure fast access time over a whole dataset. However, this rebalancing operation frequently updates the long-lived nodes, which leads to the skewed wear out across the NVM cells. To resolve this problem, we present a new swapping wear-leveling red-black tree that periodically moves data in the worn-out node into the young node. The performance study with real-world traces demonstrates the proposed red-black tree reduces the standard deviation of the write count across nodes by up to 12.5%.