• Title/Summary/Keyword: 인터넷미디어산업

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Research Trend of Illegal Contents Trace Technology (불법콘텐츠 추적 기술 연구동향)

  • Jung, H.Won;Lee, J.S.;Suh, Y.H.
    • Electronics and Telecommunications Trends
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    • v.20 no.4 s.94
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    • pp.120-128
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    • 2005
  • 인터넷 환경이 급속도로 발전함에 따라 멀티미디어의 범람과 사용자들의 유료 콘텐츠사용에 대한 인식 부족으로 디지털 콘텐츠의 지적재산권 침해가 빈번하게 발생하고 있으며, 이러한 불법콘텐츠들의 무분별한 공유는 디지털콘텐츠 산업 발전을 저해하는 심각한 문제로 대두되고 있다. 이에 따라 최근 디지털 콘텐츠의 저작권 보호를 위해서 저작권 단속활동을 강화하고 있으며 다양한 P2P/웹하드 환경에서도 불법콘텐츠를 검색및 다운로드하고 콘텐츠를 식별하고 불법배포자를 추적할 수 있는 기술을 필요로 하게되었다. 그러나 대부분의 불법콘텐츠들은 약 80%가 P2P, 웹하드, 동호회/카페를 통해서 전파되고 있으며 각 업체별 클라이언트 프로그램의 다양성 때문에 불법콘텐츠의 검색 및 불법복제자 추적이 매우 어려운 실정이다. 불법콘텐츠의 추적 및 차단을 위해 워터마킹/핑거프린팅, 네트워크 모니터링, 매크로 프로그램, 공개 P2P 프로토콜 조작, 페이크 파일 유포 등의 기술들이 사용되고 있다. 본 고에서는 불법콘텐츠 국내외 시장현황과 업체의 기술동향을 살펴보고 불법배포자 추적을 위해 필요한 핑거프린팅과 특징점 기반 콘텐츠 식별 기술에 대해 설명한다. 그리고 P2P와 웹하드에서 불법콘텐츠들을 자동으로 다운로드하고 불법배포자들을 추적할 수 있는 시스템 아키텍처에 대하여 설명한다.

Data Visualization of R Programming using Google Analytics API (Google Analytics API를 연동한 R 프로그래밍 데이터 시각화)

  • Ahn, Jang-Keun;Jang, Si-Woong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.290-293
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    • 2017
  • 최근 IoT 기술발달로 인한 스마트폰 및 대용량 미디어기기 사용증가로 인터넷 네트워크 사용량이 폭발적으로 증가되고 있고, 이러한 데이터 사용량 급증으로 대량의 데이터를 지칭하는 빅데이터 수집 및 분석에 많은 기업과 정부가 주목하고 있다. 빅데이터는 기존에 없던 새로운 데이터의 구축이 아니며, 그동안 축적된 다방면의 방대한 데이터의 집합이라 할 수 있다. 빅데이터의 이용 및 분석에 대한 기업 정부 학계의 수요는 증가하고 있지만, 고난도의 빅데이터 분석을 위한 인프라 구축이 선결과제이어서, 이러한 인프라구축 비용 때문에 빅데이터 분석이 일선 산업분야에 바로 적용하는데 많은 장애요인이 되어 데이터 분석가들의 빅데이터 분석에 애로사항으로 존재하고 있다. 이러한 어려움을 해소하기 위한 방안으로 새로운 인프라 구축 없이 Google Analytics API를 연동한 R 프로그래밍의 데이터 시각화를 활용한 데이터 분석 방안을 제시하고자 한다. 본 연구에서는 구글 애널리틱스 API를 연동하여 사용자 웹사이트의 사용자접속, 사이트운영, 이벤트 발생 등의 데이터를 R 프로그램을 활용하여 사이트 현황을 데이터 시각화로 분석하고 운영중인 웹사이트에 적용 가능한 콘텐츠 개발 방안에 대해 연구하였다.

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Comparing Development Environment for RIA Platforms (RIA 플랫폼 개발환경 비교)

  • Jeong-Hoon Ji;Gyu-Tae Park;Gyun Woo;Won-Young Kim;Wan Choi
    • Proceedings of the Korea Information Processing Society Conference
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    • 2008.11a
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    • pp.770-773
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    • 2008
  • 인터넷의 확산으로 소프트웨어 산업구조는 패키지 방식에서 웹을 중심으로 한 방식으로 변화되었다. 소프트웨어 배포 및 사용이 웹을 통해 이루어지고 사용자들도 자신이 원하는 콘텐츠를 직접 제작할 수 있게 되었다. 이와 더불어, 웹 기반 소프트웨어에 대한 사용자 요구사항도 더욱 많아졌다. 사용자들은 멀티미디어 지원, 상호작용, 데스크톱 수준의 시각적으로 화려한 인터페이스(UI)를 웹 브라우저를 통해 사용하기를 원한다. 하지만, HTML과 스크립트 언어 기반의 웹 시스템 만으로는 사용자 요구사항을 만족시키기가 어렵다. RIA(Rich Internet Application)는 HTML의 한계를 극복하고, 사용자 요구사항을 충족시키기 위해 제안된 모델이다. 향후 RIA 기술은 많은 분야의 소프트웨어 개발에 사용될 것이다. 본 논문에서는 RIA 기술에 대해 알아보고 RIA 개발을 위해 필요한 요소들을 정의하고 RIA 개발환경들의 장단점을 비교 평가한다. 또한 각 플랫폼의 성공적인 응용사례를 살펴봄으로써 RIA 개발환경 선택에 도움을 주고자 한다.

News Article Analysis of the 4th Industrial Revolution and Advertising before and after COVID-19: Focusing on LDA and Word2vec (코로나 이전과 이후의 4차 산업혁명과 광고의 뉴스기사 분석 : LDA와 Word2vec을 중심으로)

  • Cha, Young-Ran
    • The Journal of the Korea Contents Association
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    • v.21 no.9
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    • pp.149-163
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    • 2021
  • The 4th industrial revolution refers to the next-generation industrial revolution led by information and communication technologies such as artificial intelligence (AI), Internet of Things (IoT), robot technology, drones, autonomous driving and virtual reality (VR) and it also has made a significant impact on the development of the advertising industry. However, the world is rapidly changing to a non-contact, non-face-to-face living environment to prevent the spread of COVID 19. Accordingly, the role of the 4th industrial revolution and advertising is changing. Therefore, in this study, text analysis was performed using Big Kinds to examine the 4th industrial revolution and changes in advertising before and after COVID 19. Comparisons were made between 2019 before COVID 19 and 2020 after COVID 19. Main topics and documents were classified through LDA topic model analysis and Word2vec, a deep learning technique. As the result of the study showed that before COVID 19, policies, contents, AI, etc. appeared, but after COVID 19, the field gradually expanded to finance, advertising, and delivery services utilizing data. Further, education appeared as an important issue. In addition, if the use of advertising related to the 4th industrial revolution technology was mainstream before COVID 19, keywords such as participation, cooperation, and daily necessities, were more actively used for education on advanced technology, while talent cultivation appeared prominently. Thus, these research results are meaningful in suggesting a multifaceted strategy that can be applied theoretically and practically, while suggesting the future direction of advertising in the 4th industrial revolution after COVID 19.

An Interactive UCC Creation and the Effect Analysis (상호작용 UCC의 제작 및 효과 분석)

  • Kim, Min-Su;Boo, Kyung-Min;Im, Kyung-Duk;Ko, Seong-Bo;Kim, Seong-Baeg
    • Science of Emotion and Sensibility
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    • v.13 no.3
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    • pp.459-466
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    • 2010
  • Recently, UCC, which stands for User Created Content, has emerged in various media industries including Internet. However, there exists little research regarding interaction to overcome the drawback of UCC, one way superficial form. In particular, little research has been done on the creation and effect of experiential UCC type. In the existing research, the interactive feature shows to bring the effectiveness in the field of education or promotion. So, in this study, we examine the problem of provider-centered UCC and to solve this problem, we propose a new experiential UCC form with interactive functionality by adapting the product test between UCCs. From the results of the analysis on the effectiveness of UCC after users experience the proposed UCC related to water industry, watching the interactive UCC represented the values of the higher levels in the aspect of recognition change than watching the existing UCCs. Also, the outcome showed that if this interactive UCC invigorates, UCC application will be very useful in eduction, industry, and promotion. From the analysis of the question instrument on whether an interactive UCC would be helpful or not, the positive response ratios was 84% in promotion, 70% in education, and 52% in industry, respectively.

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A study on improvement of ISO/IEC 29157 MAC protocol (ISO/IEC 29157 표준 MAC 프로토콜 개선 연구)

  • Cha, Bong-Sang;Jeong, Eui-Hoon;Jeon, Gwangil;Seo, Dae-Young
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.13 no.5
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    • pp.17-26
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    • 2013
  • ISO/IEC 29157 originally developed in the Republic of Korea and is based on commercially available PicoCast v1.0. ISO/IEC JTC1 SC6 was registered by the international standard on May 2010. A single platform for a variety of applications and media formats to support development objectives were. ISO/IEC 29157 based wireless networks, ie, Pico-net to master node periodically transmit sync signal is synchronized to the number of slave nodes have the communications structure. Pico-net also supports a variety of network topologies and direct communication between nodes(single-hop communication) and QoS is guaranteed. But Pico-net network structure has the following problems. Loss of communication problems due to mobile nodes, resulting in limitations of node mobility and wireless network operation range of conventional wireless networks operating range less than 1/4 was reduced to the problem. In this paper, a possible solution to the problems mentioned is proposed, using multi-hop communication technology and sync signal transmission technology between nodes.

Study on the Effect of Self-Disclosure Factor on Exposure Behavior of Social Network Service (자기노출 요인이 소셜 네트워크 서비스의 노출행동에 미치는 영향에 관한 연구)

  • Do Soon Kwon;Seong Jun Kim;Jung Eun Kim;Hye In Jeong;Ki Seok Lee
    • Information Systems Review
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    • v.18 no.3
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    • pp.209-233
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    • 2016
  • Internet companies that utilize social network have increased in number. The introduction of diverse social media services facilitated innovative changes in e-business. Social network service (SNS), which is a domain of social media, is a web-based service designed to strengthen human relations in the Internet and build new social relations. The remarkable growth of social network services and the profit generation and perception of this service are the new growth engines of this digital age. Given this development, many global IT companies views SNS as the most powerful form of social media. Thus, they invest efforts to develop business models using SNS.2) This study verifies the impact of privacy exposure in SNS as a result of privacy invasion. This study examines the purpose of using the SNS and user's awareness of the significance of personal information, which are key factors that affect self-disclosure of personal information. This study utilizes theory of reasoned action (TRA) to provide a theoretical platform that describes the specific behavior and emotional response of individuals. This study presents a research model that considers negative attitude (negatude). In this model, self-disclosure in SNS is considered a TRA. TRA is a subjective norm, a behavioral intention, and a key variable of exposure behavior. A survey was conducted on college students at Y university in Seoul to empirically verify the research model. The students have experiences in using SNS. A total of 198 samples were collected. Path analysis was applied to analyze the relations of factors. The results of path analysis show the statistically insignificant impact of privacy invasion on negatude, subjective norm, behavioral intention, and exposure behavior. The impact of unrecognized privacy invasion was also considered insignificant. The impacts of intention to use SNS on negatude, subjective norm, behavioral intention, and exposure behavior was significant. A significant impact was also found for the significance of personal information on subjective norm, behavioral intention, and exposure behavior, whereas the impact on negatude was insignificant. The impact of subjective norm on behavioral intention was significant. Lastly, the impact of behavioral intention on exposure behavior was insignificant. These findings are significant because the study examined the process of self-disclosure by integrating psychological and social factors based on theoretical discussion.

Keyword Analysis of Research on Consumption of Children and Adolescents Using Text Mining (텍스트마이닝을 활용한 아동, 청소년 대상 소비관련 연구 키워드 분석)

  • Jin, Hyun-Jeong
    • Journal of Korean Home Economics Education Association
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    • v.33 no.4
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    • pp.1-13
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    • 2021
  • The purpose of this study is to identify trends and potential themes of research on consumption of children and adolescents for 20 years by analyzing keywords. The keywords of 869 studies on consumption of children and adolescents published in journals listed in Korean Citation Index were analyzed using text mining techniques. The most frequent keywords were found in the order of youth, youth consumers, consumer education, conspicuous consumption, consumption behavior, and character. As a result of analyzing the frequency of keywords by dividing into five-year periods, it was confirmed that the frequency of consumer education was significantly higher betwn 2006 and 2010. Research on ethical consumption has been active since 2011, and research has been conducted on various topics instead of without a prominent keyword during the most recent 5-year period. Looking at the keywords based on the TF-IDF, the keywords related to the environment and the Internet were the main keywords between 2001 and 2005. From 2006 to 2010, the TF-IDF values of media use, advertisement education, and Internet items were high. From 2011 to 2015, fair trade, green growth, green consumption, North Korean defector youths, social media, and from 2016 to 2020, text mining, sustainable development education, maker education, and the 2015 revised curriculum appeared as important themes. As a result of topic modeling, eight topics were derived: consumer education, mass media/peer culture, rational consumption, Hallyu/cultural industry, consumer competency, economic education, teaching and learning method, and eco-friendly/ethical consumption. As a result of network analysis, it was found that conspicuous consumption and consumer education are important topics in consumption research of children and adolescents.

A Study on the Digital Craft Convergence Cases Using 3D Printing Technology (3D Printing 기술을 활용한 Digital Craft 융합적 사례 연구)

  • Jang, Jisu;Chung, Jeanhun
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.22 no.3
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    • pp.105-110
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    • 2022
  • In line with the trend of the 4th Industrial Revolution, we tried to study the scalability of the craft sector in the art field in the wake of the convergence of new fields through the combination of different fields. To this end, a craft case using 3D printing technology was analyzed based on the theoretical background of the definition and value of digital craft. As a result of the study, craft works using 3D printing technology could be divided into four forms according to the fusion expression method. First, the mixed type was most characterized by harmonious production without significantly deviating from the traditional craft type. Second, the component type was produced in the form in which the characteristics of digital technology, which has advantages of certain shapes and detailed work, were best exhibited. Third, the structural type became a work with analog sensibility by adding traditional craft techniques based on the results output from a 3D printer. Finally, the connection type was the work that showed the greatest glimpse of originality and uniqueness among the analysis cases of this study. As digital technology is positively widely used, future studies will also deal with effective work directions.

Analysis of Users' Sentiments and Needs for ChatGPT through Social Media on Reddit (Reddit 소셜미디어를 활용한 ChatGPT에 대한 사용자의 감정 및 요구 분석)

  • Hye-In Na;Byeong-Hee Lee
    • Journal of Internet Computing and Services
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    • v.25 no.2
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    • pp.79-92
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    • 2024
  • ChatGPT, as a representative chatbot leveraging generative artificial intelligence technology, is used valuable not only in scientific and technological domains but also across diverse sectors such as society, economy, industry, and culture. This study conducts an explorative analysis of user sentiments and needs for ChatGPT by examining global social media discourse on Reddit. We collected 10,796 comments on Reddit from December 2022 to August 2023 and then employed keyword analysis, sentiment analysis, and need-mining-based topic modeling to derive insights. The analysis reveals several key findings. The most frequently mentioned term in ChatGPT-related comments is "time," indicative of users' emphasis on prompt responses, time efficiency, and enhanced productivity. Users express sentiments of trust and anticipation in ChatGPT, yet simultaneously articulate concerns and frustrations regarding its societal impact, including fears and anger. In addition, the topic modeling analysis identifies 14 topics, shedding light on potential user needs. Notably, users exhibit a keen interest in the educational applications of ChatGPT and its societal implications. Moreover, our investigation uncovers various user-driven topics related to ChatGPT, encompassing language models, jobs, information retrieval, healthcare applications, services, gaming, regulations, energy, and ethical concerns. In conclusion, this analysis provides insights into user perspectives, emphasizing the significance of understanding and addressing user needs. The identified application directions offer valuable guidance for enhancing existing products and services or planning the development of new service platforms.