• Title/Summary/Keyword: Media Business

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The Analysis of New Video Conference System Based Secure Authentication

  • Jung Yong Deug;Kim Gil Choon;Jun Moon Seog
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.600-607
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    • 2004
  • The paper describes the implementation of the video conferencing system using public key infrastructure which is used for user authentication and media stream encryption. Using public key infrastructure, we are able to reinforce the authentication for conference participant and block several malicious hacking while protecting conference control information. The paper shows the implementation of the transportation layer secure protocol in conformity with Korea public key authentication algorithm standard and symmetric key encryption algorithm (RC2, SEED, DES and 3DES) for media stream encryption. The feature of the paper is transportation layer secure protocol that is implemented for protection of information on a user authentication and video conference and the media streaming encryption algorithm also can be envisioned with another block encryption algorithm. The key for media streaming encryption may be safely distributed by the transportation layer secure protocol.

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Do North Korean Social Media Show Signs of Change?: An Examination of a YouTube Channel Using Qualitative Tagging and Social Network Analysis

  • Park, Han Woo;Lim, Yon Soo
    • Journal of Contemporary Eastern Asia
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    • v.19 no.1
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    • pp.123-143
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    • 2020
  • This study examines the interplay between the reactions of YouTube users and North Korean propaganda. Interesting enough, the study has noticed changes in the strict media environment under young leader Kim. Messages delivered by the communist regime to the outside world appeared to resemble those of 'normal' countries. Although North Korean YouTube was led mainly by the account operator, visitors from different nations do comment on the channel, which suggests the possibility of building international communities for propaganda purposes. Overall, the study observed a sparsely connected social network among ordinary commenters. However, the operator did not exercise tight control over peer-to-peer communication but merely answered questions and tried to facilitate mass participation. In contrast to the many news clips, the documentary content on North Korea's YouTube channel did not explicitly advocate for North Korea's current political positions.

A Study on the Customer Attitudes toward UCC and its Effects as a Commercial Media (상업적 매체로서의 UCC에 대한 소비자의 태도와 효과에 관한 연구)

  • Jun, Byoung-Ho;Han, Pil-Koo;Kang, Byung-Goo
    • Journal of Information Technology Services
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    • v.8 no.2
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    • pp.23-41
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    • 2009
  • UCC paradigm based on Web 2.0 has made new business models and came to the forefront as a commercial media. The purpose of this study is to analyze the customer attitudes toward UCC and its effects as a commercial media. Based on prior studies of Internet and Web advertising, informativeness, entertainment, irritation, trust, usefulness, ease of use, incentives, and flow were identified as affecting factors of the attitude of UCC advertising. Results show that informativeness, entertainment, irritation, trust, ease of use, and flow are significantly related to the attitude of UCC advertising, but usefulness and incentives are not. Customer attitude toward UCC advertising was also found to be significantly related to the such effects as brand attitude, word of mouth, and intention to buy. This study contributes to improve the understanding of UCC as a commercial media and provides the base of activation strategies for it.

The customer values of T-Commerce business models (T-Commerce 비즈니스 모델 고객 가치에 관한 연구)

  • Hwang, Jee-Hee;Koo, Ja-Il;Moon, Nam-Mee
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • 2005.11a
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    • pp.279-282
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    • 2005
  • 디지털TV라는 진화된 매체와 방송, 통신 융합이 라는 새로운 패러다임의 등장으로 인해 T-Commerce는 그 잠재성에 많은 기대를 받고 있는 시장이다. 그러나 현재까지 국내에서는 양방향 데이터 방송이 보편화된 상황이 아니며, 성공 사례도 부족하여, 비즈니스 모델에 대한 구체적인 연구가 요구되고 있다. 본 연구에서는 T-Commerce 비즈니스 모델에 있어 고객 만족도에 영향을 미치는 고객 가치를 도출하고자 한다. 이를 위해서 우선, e-비즈니스 모델과 고객 만족도에 영향을 미치는 가치에 대한 선행연구들을 통해서 e-Commerce의 고객 가치 요인들을 분석하였다. 선행연구 분석결과를 T-Commerce 프로세스와 접목하여 6가지의 주요 요인을 채택하여, 홈 네트워크 시범단지의 포커스 그룹을 대상으로 실시된 T-Commerce 소비자 조사 결과를 바탕으로 타당성을 검증하였다.

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U-Publication 시스템과 비즈니스 모델의 설계와 분석

  • Lee, Gyeong-Jeon;Park, A-Reum
    • Proceedings of the Korea Inteligent Information System Society Conference
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    • 2007.11a
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    • pp.385-391
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    • 2007
  • RFID 태그 부착 출판물(U-Publication)은 U-Media의 하나로 소비자가 기존의 출판물을 오프라인에서만 소비했던 것과는 달리, 복수개의 태그가 부착되어 있어 RFID 리더(reader)로 태그에 저장된 URL을 통해 온라인으로 접속할 수 있는 것을 말한다. U-Media는 사람의 생체시스템뿐만 아니라 사람이 지닌 디지털정보나 디바이스, 그리고 주변 사물과 상호작용을 하여 컨텐트 생성과 동시에 자동으로 관련 정보를 수집, 첨부함으로써, 기존의 미디어가 전달하지 못했던 정보까지 제공하여 준다[1]. U-Publication은 온라인과 오프라인이 Seamless하게 연결되어 양방향으로 정보가 이동할 수 있다는 측면에서 U-Media라고 할 수 있으며, 소비자들은 RFID 태그 부착 출판물의 인쇄된 컨텐트 뿐만 아니라 출판물에 부착된 태그의 링크를 통해서 추가적인 컨테트를 소비할 수 있고 다양한 상거래를 할 수 있다. 이 논문은 RFID 태그 부착 출판물의 정의와 이를 기반으로 한 비즈니스 모델에 대한 분석과 제안을 담고 있다.

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X-Ray Security Checkpoint System Using Storage Media Detection Method Based on Deep Learning for Information Security

  • Lee, Han-Sung;Kim Kang-San;Kim, Won-Chan;Woo, Tea-Kun;Jung, Se-Hoon
    • Journal of Korea Multimedia Society
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    • v.25 no.10
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    • pp.1433-1447
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    • 2022
  • Recently, as the demand for physical security technology to prevent leakage of technical and business information of companies and public institutions increases, the high tech companies are operating X-ray security checkpoints at building entrances to protect their intellectual property and technology. X-ray security checkpoints are operated to detect cameras and storage media that may store or leak important technologies in the bags of people entering and leaving the building. In this study, we propose an X-ray security checkpoint system that automatically detects a storage medium in an X-ray image using a deep learning based object detection method. The proposed system consists of an edge computing unit and a cloud-computing unit. We employ the RetinaNet for automatic storage media detection in the X-ray security checkpoint images. The proposed approach achieved mAP of 95.92% on private dataset.

Disney's Entry into Streaming Services and the Shifting Media Terrain in the U.S.

  • Jeongsuk Joo
    • International Journal of Advanced Culture Technology
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    • v.11 no.2
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    • pp.291-297
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    • 2023
  • This paper intends to shed light on how the advent of streaming services pioneered by Netflix has been affecting the media landscape in the U.S. by looking at Disney's entry into streaming services and what effects this might have had. The paper first looks at the rise of Netflix, the disruptive impact it had on cable and film businesses, and the challenges this has posed to traditional media conglomerates like Disney. In this context, the paper examines Disney's decision to enter into streaming services as a move to counter both these challenges and Netflix's growing power. Finally, the paper notes the changes Disney's entry is likely to bring about, notably the continued disruption of film and television as streaming business expands, as well as the potential of Disney's streaming services to challenge Netflix and further strengthen its media empire.

Why do We Share Information? Explaining Information Sharing Behavior through a New Conceptual Model between Sharer to Receiver within SNS

  • Seok Noh
    • Asia pacific journal of information systems
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    • v.31 no.3
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    • pp.392-414
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    • 2021
  • Social networking services (SNS) is an indispensable method in order to obtain information of the Internet participants. The study identified three variables of social media communication, sharing culture, and online trust in terms of social capital theory (SCT) and reviewed intention& behavior variables in terms of theory of planned behavior (TPB). The data were collected from 330 samples of SNS user, and were involved, and the research model uses AMOS to make confirmatory factor analysis. The findings confirmed our hypothesis that social media communication, sharing culture, and online trust affect individuals' behaviors to sharing information. This study emphasizes that not only social media communication but also sharing culture to SNS can stimulate information sharing. while previous research has predominately focused on personal cognition or social network, the study examines the integrated influence of communication, culture and trust on information sharing in SNS. In sum, by explicating the unique role of social capital, this paper aims at contributing to the continued development and success of SNS in general.

Why SNS Sites Are Using Advertising Models Like You: An Explanation from Construal-Level Theory

  • Garam Hong;Seongwon Lee;Kil-Soo Suh
    • Asia pacific journal of information systems
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    • v.30 no.4
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    • pp.695-718
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    • 2020
  • Based on the Construal Level Theory, we aim to study a most favorable fit among the advertising model, media type, and message construals, which are important factors in an advertisement. A two (social distance of the ad model in an ad: distal (low similarity) vs proximal (high similarity) by two (social distance of a media type: distal (portal) vs. proximal (SNS)) by two (message construal: abstract vs concrete) laboratory experiment was conducted to examine attitude changes on ad messages. The results show that abstract messages were more effective in attitude toward advertisement and purchase intention under the distal social distance (i.e. advertising model in low-similarity and portal media type) while concrete messages were so under the proximal social distance and SNS media type.

Exploring the Sentiment Analysis of Electric Vehicles Social Media Data by Using Feature Selection Methods (속성선택방법을 이용한 전기자동차 소셜미디어 데이터의 감성분석 연구)

  • Costello, Francis Joseph;Lee, Kun Chang
    • Journal of Digital Convergence
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    • v.18 no.2
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    • pp.249-259
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    • 2020
  • This study presents a recently obtained social media data set based upon the case study of Electric Vehicles (EV) and looks to implement a sentiment analysis (SA) in order to gain insights. This study uses two methods in order to fully analyze the public's sentiment on EVs. First, we implement a SA tool in which we used to extract the sentiment of comments. Next we labeled the data with these sentiments obtained and classified them. While performing classification we found the problem of dimensionality and also explored the use of feature selection (FS) models in order to reduce the data set's dimensionality. We found that the use of three FS models (Chi Squared, Information Gain and ReliefF) showed the most promising results when used alongside a logistic and support vector machines classification algorithm. the contributions of this paper are in providing an real-world example of social media text analytics which can be adopted in many other areas of research and business. Moving forward researchers can use the methodological approach in this paper to further refine and improve their own case uses in text analytics.