• 제목/요약/키워드: Media context

검색결과 630건 처리시간 0.021초

샤넬 컬렉션에 나타난 인터미디어와 패션쇼의 관계적 특성 (Relationship characteristics of intermedia and fashion show in the Chanel collection)

  • 이슬아;이연희
    • 복식문화연구
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    • 제24권3호
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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.

유동 공간의 유기체적 지가 특성 연구 (A Study on Characteristics of Organistic Perceptual in Fluid Space)

  • 박주성;이찬
    • 한국실내디자인학회논문집
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    • 제20권3호
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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.

Machine-to-Machine (M2M) Communications in Vehicular Networks

  • Booysen, M.J.;Gilmore, J.S.;Zeadally, S.;Rooyen, G.J. Van
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제6권2호
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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.

소셜미디어 텍스트마이닝을 통한 패션디자인 사용자 인식 조사 (A Study on the User Perception in Fashion Design through Social Media Text-Mining)

  • 안효선;박민정
    • 한국의류학회지
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    • 제41권6호
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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.

Description-Based Multimedia Clipart Retrieval in WWW

  • Kim, Hion-Gun;Sin, Bong-Kee;Song, Ju-Won
    • 한국방송∙미디어공학회:학술대회논문집
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    • 한국방송공학회 1998년도 Proceedings of International Workshop on Advanced Image Technology
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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.

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디지털도서관 지원 정보네트워크 인프라 구조 동향 (A Review of Multi-media Network Infrastructure for DL)

  • 유사라
    • 한국문헌정보학회지
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    • 제33권4호
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    • pp.183-202
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    • 1999
  • 지식사회는 기존 보유 기술의 진화 방식이 아닌 전혀 새로운 기술 혁신에 의해 그 기반이 구성되고 있으며, 디지털 기술 기반 위에서 구성된 멀티미디어 네트워크에 의해 예전에 비해 수십 수백 배의 속도로 이루어지는 빠른 변화를 특성으로 한다. 따라서 이러한 환경에서 기대되는 디지털도서관 시스템 개발이 겨냥하는 미래 정보 이용자는 웹 이전세대의 이용자 수요나 정보 그 자체에 대한 가치 기준을 넘어서고 있다. 현재와 같은 멀티미디어 혁명과 네트워크 시장의 급격한 변화 추세에서 구현시키고자하는 디지털도서관을 정확하게 이해하는 것이 무엇보다 중요하다. 이에 본 연구는 멀티미디어 정보 전송의 기반이 되는 네트워크 응용 현황과 기술적 동향을 일차적으로 검토하고, 미래 네트워크 인프라 구조의 변화를 조명하며, 멀티미디어 네트워크의 경제성과 정책과의 관계를 비판적으로 살펴보고자 한다.

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학교폭력에 대한 청소년들의 심리적 .행동적 학교 적응강화 프로그램 개발을 위한 기초연구( I ) (Primary Study of Developing Program far Adolescents′ Psychological & Behavioral Adaptation to School Violence( I ))

  • 송정아;김영희
    • 가정과삶의질연구
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    • 제19권6호
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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.

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On Using Films to Develop Students' Reading Skills in the MALL Classes

  • Sung, Tae-Soo
    • 한국컴퓨터정보학회논문지
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    • 제22권11호
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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.

라돈 자핵종의 알파 측정용 여과지 매질의 평가 (Evaluation of Filter Media for Use in Alpha Measurement of Radon Progeny)

  • 서경원
    • Journal of Radiation Protection and Research
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    • 제17권1호
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    • pp.31-41
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    • 1992
  • 라돈 자핵종의 알파 측정용 여과지 매질에 대한 평가를 위한 연구는 물리적 특성조사로 여과지의 정전하 충전과 역학적 강도가 조사된 후, 시료채취 전과 후 여과지에 부가되는 압력차로 여과지의 성질을 시험하였으며, 알파 스팩트럼분석으로 여과지내 부착된 라돈 자핵종의 에너지스펙트럼을 분석하여 성능지수를 계산한 후 여과지의 특성을 비교 평가하였다. 평가의 결과 새로운 여과지 매질은 과거의 표준인 Millipore AA보다 크게 유리한 점은 없었으나, 정전하가 문제되는 곳에서는 Metricel DM-800을 권고하였다. 또한 평가방법은 새로 개발될 여과지들의 물리적 특성과 매질의 수집효율을 고려하여 라돈 자핵종의 알파 측정용 여과지 매질 평가를 위해 유용하게 사용될 수 있을 것이다.

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A Deep Learning Model for Extracting Consumer Sentiments using Recurrent Neural Network Techniques

  • Ranjan, Roop;Daniel, AK
    • International Journal of Computer Science & Network Security
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    • 제21권8호
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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.