• The Research Journal of the Costume Culture
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• v.24 no.3
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• pp.367-384
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• 2016

The aim of this paper is to examine relationship characteristics and the relevance there of in the context of the Chanel collection, between the contemporary fashion show viewed from the artistic side and intermedia on interaction. This study analyzed the relationship characteristics between intermedia and fashion shows by focusing on Chanel fashion shows from 2010 S/S to 2016 F/W as actual case. The results are as follow: First, participational accessibility indicates the experience of a designer and audience in active participation changing into passive participation. Second, audience immersion is represented by the perception of being involved by the audience in the place and acting. Third, conceptual symbolism is sending of messages through the designer's concept manifesting in the specific features of the design. Finally, expandability of media explains trans-boundaries in experimental attempts. It concludes that fashion show is a space where the audience can have visual as well as new knowledge and experience through multi-sensory channels. The Chanel collection which is considered a huge art project at the fashion show, showed a relationship between philosophy and the direction through season concepts and brands. The Chanel collection has brought a new experience through the convergence of communications and cultural media, such as music and art according to traditional brand image.

• Korean Institute of Interior Design Journal
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• v.20 no.3
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• pp.143-151
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• 2011

With today's new media environment throughout Ubiquitous information innovation, live and dynamic fluid space is being created by integrating organic integration between electronic space and physical space and transplanting intelligence to materials. In other words, perception occurs in fluid space itself in a new media environment so has complicatedly organic relationship with environment and humans. In addition, emotion, time and movement have actively attempted to enter the space so designs appealing to humans' emotions are made through stimulation of synaesthetic sensory organs. This can be understood in the same context that media is eventually expansion of human body. Fluid space has characteristics of a live organism with factors such as sensor, perception and behavior so it needs to interpret perceptual system relationally and synthetically through an organic study method. This study looks into characteristics of organic perceptual system in terms of the meaning that fluid space with movements have as the sensory-perceptive subject and accordingly makes the world more sufficient as the third space, prepares a possibility to get out of limited five senses, and will develop fluid space as the organic environment making stimulation by itself.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.6 no.2
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• pp.529-546
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• 2012

To address the need for autonomous control of remote and distributed mobile systems, Machine-to-Machine (M2M) communications are rapidly gaining attention from both academia and industry. M2M communications have recently been deployed in smart grid, home networking, health care, and vehicular networking environments. This paper focuses on M2M communications in the vehicular networking context and investigates areas where M2M principles can improve vehicular networking. Since connected vehicles are essentially a network of machines that are communicating, preferably autonomously, vehicular networks can benefit a lot from M2M communications support. The M2M paradigm enhances vehicular networking by supporting large-scale deployment of devices, cross-platform networking, autonomous monitoring and control, visualization of the system and measurements, and security. We also present some of the challenges that still need to be addressed to fully enable M2M support in the vehicular networking environment. Of these, component standardization and data security management are considered to be the most significant challenges.

• Journal of the Korean Society of Clothing and Textiles
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• v.41 no.6
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• pp.1060-1070
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• 2017

This study seeks methods to analyze users' perception in fashion designs shown in social media using textmining analysis methods. The research methods selected 'men's stripe shirts' as subjects and collected texts related to the subject mainly from blogs. Texts from 13,648 posts from November 1st, 2015 to October 31st, 2016 were analyzed by applying the LDA algorithm and content analysis. As a result, the wearing status per season and subjects of men's stripe shirts were derived. Across the entire period, the main topics discussed by users to be pattern, customized suits, brands, coordination and purchase information. In terms of seasons, spring time showed the sharing of information on coordinating daily looks or boyfriend looks, and during the winter season the information shared were about shirts suitable for special occasions such as job interviews and stripe shirts that match suits. The study results showed that text-mining analysis is capable of analyzing the context and provide a user-centered index responding to demands newly mentioned by users along with the rapid changes in fashion design trends.

• Proceedings of the Korean Society of Broadcast Engineers Conference
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• 1998.06b
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• pp.111-115
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• 1998

The Internet today is teemed with not only text data but also other media such as sound, still and moving images in a variety of formats. Unlike text, however, that can be retrieved easily with the help of numerous search engines, there has been few way to access data of other media unless the exact location or the URL is known. Multimedia data in the WWW are contained in or linked via anchors in the hyper-documents. They can most reliably be retrieved by analyzing the binary data content, which is far from being practical yet by the current state of the art. Instead we present another technique of searching based on textual descriptions which are found at or around the multimedia objects. The textual description used in this research includes file name (URL), anchor text and its context, alternative descriptions found in ALT HTML tage. These are actually the clues assumedly relevant to the contents. Although not without a possibility of missing or misinterpreting images and sounds, the description-based search is highly practical in terms of computation. The prototype search engine will soon be deployed to the public service through the prestige search engine, InfoDetective, in Korea.

• Journal of the Korean Society for Library and Information Science
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• v.33 no.4
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• pp.183-202
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• 1999

This article reviews the current infrastructure of multi-media network which has significant implications to digital library development and the networked information service. Network information service which is based on the digital technology has become quite popular in recent post-Web environment. But it is not easy and simple to develope digital library system with the rapid media innovation and digital network technology The existed multimedia network infrastructure need to be observed precisely and discussed critically in the context of economy and policy development for digital library service.

• Journal of Families and Better Life
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• v.19 no.6
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• pp.35-50
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• 2001

The purpose of this study was to examine the effects of family violence, peer\`s deviant behavior, school environment, and accessibility of violence through a mass media, mediated by school violence, on adolescents 'psychological & behavioral maladjustment. The present study was the primary research of developing program for adolescents'psychological & behavioral adaptation to school violence. On the basis of previous literature, the theoretical model was specified, estimated, and evaluated for adequacy of statistical fat. Subjects of this study consisted of 974 adolescents drawn from middle and high schools in Cheong-ju. The model was supported by the data. Family violence, peer's deviant behavior, school environment, and accessibility of violence through a mass media explained directly the variance of school violence and adolescents'psychological & behavioral maladjustment. The results shows that adolescents'psychological & behavioral maladjustment can be viewed as products of the interaction with environmental factors and school violence. Accessibility of violence through a mass media was strongly related to school violence. Also, school violence was the strongest risk factor in relation to adolescents'behavioral maladjustment while school environment to adolescents'psychological maladjustment. Therefore, prevention program for school violence should consider the psychological & behavioral components within the environmental context.

• Journal of the Korea Society of Computer and Information
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• v.22 no.11
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• pp.135-141
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• 2017

Exposed to a great many media and technology resources, EFL students seem to lack the motivations for learning on the basis of the conventional teaching methods. For this reason, in teaching English, finding teaching methods and materials appropriate to make the learning experiences for EFL students more engaging and interesting has become more challenging than ever. This is the main reason why English language teachers always keep searching for more motivating teaching sources. Although most of course books have CD's and DVD enclosed, these turn out to be less authentic and not very engaging for students. In order to bring diversity into the classroom, many teachers use films in EFL teaching. Films are usually seen as a media that attracts students' attention and tend to present language in a more natural (interactive) way as well. What is more important is that films offer a visual context aids which help students understand and improve their reading skills. This paper analyzes the effects of using films in the EFL classroom. Moreover, It shows that films as a teaching resource play a very effective role in developing students reading and communication skill. Last but not least, mobile phones are used as a main supplementary device in that either group is recommended to watch a movie anytime and anywhere.

• Journal of Radiation Protection and Research
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• v.17 no.1
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• pp.31-41
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• 1992

A study for the evaluation of selected filter media that need further characterization particularily in the context of alpha measurements of radon progeny has been carried out by investigating physical characteristics and using the alpha spectroscopy. Physical characteristics was investigated by electrostatic charging and mechanical strength of filters, and then pressure drop before and after sampling was tested. Alpha spectroscopy was used to analyze the energy spectra from the deposition of radon progeny into filters. The results of the assessment showed that the newer filter types do not have a great advantage over the 'old standard' Millipore type AA. But Metricel DM-800 is recommended for those situations where electrostatic charging is a problem. Also this method will be used more effective for the evaluation of new developing filters in future.

• International Journal of Computer Science & Network Security
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• v.21 no.8
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• pp.238-246
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• 2021

The rapid rise of the Internet and social media has resulted in a large number of text-based reviews being placed on sites such as social media. In the age of social media, utilizing machine learning technologies to analyze the emotional context of comments aids in the understanding of QoS for any product or service. The classification and analysis of user reviews aids in the improvement of QoS. (Quality of Services). Machine Learning algorithms have evolved into a powerful tool for analyzing user sentiment. Unlike traditional categorization models, which are based on a set of rules. In sentiment categorization, Bidirectional Long Short-Term Memory (BiLSTM) has shown significant results, and Convolution Neural Network (CNN) has shown promising results. Using convolutions and pooling layers, CNN can successfully extract local information. BiLSTM uses dual LSTM orientations to increase the amount of background knowledge available to deep learning models. The suggested hybrid model combines the benefits of these two deep learning-based algorithms. The data source for analysis and classification was user reviews of Indian Railway Services on Twitter. The suggested hybrid model uses the Keras Embedding technique as an input source. The suggested model takes in data and generates lower-dimensional characteristics that result in a categorization result. The suggested hybrid model's performance was compared using Keras and Word2Vec, and the proposed model showed a significant improvement in response with an accuracy of 95.19 percent.