• Journal of Fashion Business
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• v.15 no.2
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• pp.39-56
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• 2011

The jeans fashion has important meaning as the symbol of sociocultural phenomenon related with modern fashion. It became the symbol of natural fashion beauty representing freedom and equality and sometimes the sensual style. This study defined the meaning, element, and importance of fashion styling by analyzing preliminary studies and analyzed the aesthetic characteristics of the jeans fashion. The purpose of this study is to drive four styling patterns of the jeans fashion based on such theoretical studies and empirical researches about jeans fashion and plan and direct jeans fashion styling for each style. The results also provides the basis for acknowledging that the idea of 'directing and creating a style' according to a person's intent beyond the one-dimensional idea of simply 'wearing' clothes is the true fashion styling and will set an important footing in the fashion field with the ideas that fit the 21st century.

• Speech Sciences
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• v.13 no.4
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• pp.187-200
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• 2006

The speech synthesis technology is widely used and its application area is also being broadened to an automatic response service, a learning system for handicapped person, etc. However, the sound quality of the speech synthesizer has not yet reached to the satisfactory level of users. To make a synthesized speech, the existing synthesizer generates rhythms only by the interval information such as space and comma or by several punctuation marks such as a question mark and an exclamation mark so that it is not easy to generate natural rhythms of people even though it is based on mass speech database. To make up for the problem, there is a way to select rhythms after processing language from a higher level information. This paper proposes a method for generating tags for controling rhythms by analyzing the meaning of sentence with speech situation information. We use the Systemic Functional Grammar (SFG) [4] which analyzes the meaning of sentence with speech situation information considering the sentence prior to the given one, the situation of a conversation, the relationship among people in the conversation, etc. In this study, we generate Semantic Speech Control Tag (SSCT) by the result of SFG's meaning analysis and the voice wave analysis.

• The Research Journal of the Costume Culture
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• v.7 no.5
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• pp.122-139
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• 1999

Paco Rabanne, who has created experimental and prophetic avant-garde fashion by cutting edge techniques and revolutionary new materials, is known as one of the most influential fashion designer of modern times. The purpose of this study is to analyze the various factors, including some major artistic movements, which influenced on the formative characteristics of Paco Rabanne\`s fashion design. First, Paco Rabanne\`s fantastic new materials is also influenced by his study in architecture and his own fantasies -which other people can hardly imagine- during his early childhood. Second, light one of the most important element in Paco Ranbanne\`s fashion design, shows some influence of medieval symbols of love and salvation. Third, the artistic trends which influenced on Paco Rabanne\`s fashion include surrealism, opart, and kinetic art. His use of new materials and avant -garde style represents the influence of surrealism. his experimental use of waving plastics and glittering metal during his early period is especially related with opart and kinetic art in the early 1960s which emphasize the artistic effect of light and movement. Fourth, the geometrical figures like triangles, rectangles, and circles represent the influence of Egyptian architecture like pyramids and the geometrical characteristics of Eguptian art. Fifth, Paco Rabanne\`s distinctive use of metal chains in his fashion shows the influence of the chain mail hauberk, the medieval knightly armour. By using the medieval material Paco Rabanne properly expressed the modern person\`s pain and suffering. Sixth, the ethnic elements of Egypt, Africa, Spain, and Japan reflect the experience in his former lives he insists he lived. The ethnic elements of his dresses emphasize the natural vitality and inheritance from the past.

• Journal of Information Technology and Architecture
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• v.10 no.1
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• pp.113-122
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• 2013

In this paper, we propose the method that automatically corrects the composition of a picture stylishly as well as reliably by cropping pictures based on the Rule of Thirds. The region of interest (ROI) is extracted from a picture by applying the Saliency Map and the Image Segmentation technology, the composition of the photo is amended based on this area to satisfy the Rule of Thirds. In addition, since the face region of the person is added to ROI by the Face Detection technique and the composition is amended by the various scenario according to ROI, the little more natural picture is acquired. The experimental result shows that the photo of the corrected composition was naturally amended compared with the original photo.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.3
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• pp.579-586
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• 2019

The purpose of this study is to determine the rapid saving of life through the drones when natural disasters such as earthquake and fire occur. Drones are equipped with riders, temperature, hazardous gas sensors and wireless cameras are registered with the application server for monitoring the disaster site and real-time monitoring functions are performed to identify the situation on site before rescuing personnel are active. When monitoring finds a person to save, the application server provides real-time image information for effective life-saving.

• Journal of Integrative Natural Science
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• v.14 no.2
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• pp.57-64
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• 2021

The effect of improving awareness by educational programs for improving the quality of daily life of the disabled and safety depends on the type of disability and individual differences, as well as the difficulty in evaluating education achievement and satisfaction. However, more effective programs can be developed and provided if the factors affecting the effectiveness of education can be identified. Training as one of the factors affecting effectiveness involves motivation. This is thought to be an important factor for any object regardless of the type of disability. It is recognized that "By providing programs for the disabled to immerse themselves, they can be motivated to participate in education and expect greater effects on educational effects." Gamification is convincing enough for general learning. Furthermore, a feature of gamification is the use of the game's structure to achieve its goal, which acts on participants' motivation. Some use game packages such as analog games and digital games, but some include gamification of activities themselves. The use of gamification in education has different characteristics from the development of businesses. Therefore, in this paper, we reviewed the current status and challenges with the aim of promoting the use of gamification in life safety education for the disabled.

• International Journal of Advanced Culture Technology
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• v.9 no.2
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• pp.86-90
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• 2021

Sentiment refers to a person's thoughts, opinions, and feelings toward an object. Sentiment analysis is a process of collecting opinions on a specific target and classifying them according to their emotions, and applies to opinion mining that analyzes product reviews and reviews on the web. Companies and users can grasp the opinions of public opinion and come up with a way to do so. Recently, natural language processing models using the Transformer structure have appeared, and Google's BERT is a representative example. Afterwards, various models came out by remodeling the BERT. Among them, the Facebook AI team unveiled the XLM-R (XLM-RoBERTa), an upgraded XLM model. XLM-R solved the data limitation and the curse of multilinguality by training XLM with 2TB or more refined CC (CommonCrawl), not Wikipedia data. This model showed that the multilingual model has similar performance to the single language model when it is trained by adjusting the size of the model and the data required for training. Therefore, in this paper, we study the improvement of Korean sentiment analysis performed using a pre-trained XLM-R model that solved curse of multilinguality and improved performance.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.6
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• pp.2012-2030
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• 2021

Named Entity Recognition (NER) is used to identify entity nouns in the corpus such as Location, Person and Organization, etc. NER is also an important basic of research in various natural language fields. The processing of Chinese NER has some unique difficulties, for example, there is no obvious segmentation boundary between each Chinese character in a Chinese sentence. The Chinese NER task is often combined with Chinese word segmentation, and so on. In response to these problems, we summarize the recognition methods of Chinese NER. In this review, we first introduce the sequence labeling system and evaluation metrics of NER. Then, we divide Chinese NER methods into rule-based methods, statistics-based machine learning methods and deep learning-based methods. Subsequently, we analyze in detail the model framework based on deep learning and the typical Chinese NER methods. Finally, we put forward the current challenges and future research directions of Chinese NER technology.

• International Journal of Computer Science & Network Security
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• v.22 no.10
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• pp.51-56
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• 2022

The main purpose of the article is to analyze the main approaches to the formation of the food system in modern conditions. The constant growth of the population, the increase in the level of use of natural resources against the background of a decrease in their reserves causes a number of risks for the food security of both a person and the country as a whole. The problem of the formation of food security has always remained at the center of scientific interests of both domestic and foreign researchers. In the context of globalization, this issue is considered as one of the key global problems in the system. Theoretical and metodological basis studia systematic approach to study of fundamental provisions of economic science regarding the formation of the food system. Based on the results of the study, the main approaches to the formation of the food system in modern conditions were characterized. The study has limitations associated with the lack of the ability to analyze the food system on the practical activities of a single socio-economic system.

• Journal of the Korean Society of Clothing and Textiles
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• v.47 no.2
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• pp.232-243
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• 2023

The boundaries between fashion and contemporary art are increasingly blurred showing their interchangeability. This study examines Judith Butler and Athena Athanasiou's concept of dispossession to analyze expressions of gender, racial, and class identity in Martine Gutierrez's representative work, Indigenous Woman. First, gender expressions in Indigenous Woman emphasize the possibility of performative and practical gender as an image that rejects norms that grant authority according to the possession of innate body parts. Second, racial identity is expressed through resistance to the ideology of whiteness and imperialism reinforced by fashion media. The author aims to overcome normative stereotypes through the media she creates, which reveals her identity as a person of color. Third, class identity is represented through stereotypes that limit the lives of indigenous people to primitive and natural things. The author reveals a critical awareness of the hierarchical structure and cultural appropriation these stereotypes have created. This study analyzed contemporary artworks using fashion media through the concept of dispossession. The significance of this study lies in raising a critical awareness of the practices that diffuse minority identities in fashion media.