• Title/Summary/Keyword: Smart community

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The Ethnography Research about the Electronics Panopticon Experience of the Temporary Position Man Laborer and Possibility for the Profanazion (비정규직 청년 노동자의 전자 파놉티콘 경험과 세속화 가능성에 대한 문화기술지 연구)

  • Noh, Eun-Cheong;Sung, Dong-Kyoo;Jang, Sung-Won
    • The Journal of the Korea Contents Association
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    • v.20 no.2
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    • pp.607-625
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    • 2020
  • This research tries to examine the possibility of non-regular workers' electronic panopticon experience and the possibility of secularization, and get which meaning of life through that. Seven participants were selected for this Ethnography Research; Five young workers and two self-employees. The research is as follows. First, the media system and medium such as the smartphone and social media operate as the electronics panopticon device which constantly being watched. Second, this kind of electronics panopticon experience tries to observe the discipline of itself and experiencing de-extermination which lost its diversity by intended to internalize the actions demanded by the employer. Finally, the participants performed secularization by resisting power devices through smart devices and media and seeking workers' rights and interests through the community. Therefore, this research confirms the media could function as electronic panopticons device and as a device for the possibility of secularization.

Data Analysis of Facebook Insights (페이스북 인사이트 데이터 분석)

  • Cha, Young Jun;Lee, Hak Jun;Jung, Yong Gyu
    • The Journal of the Convergence on Culture Technology
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    • v.2 no.1
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    • pp.93-98
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    • 2016
  • As information technologies are rapidly developed recently, social networking services through a variety of mobile devices and smart screen is becoming popular. SNS is a social networking based services which is online forms from existed offline. SNS can also be used differently which is confused with the online community. A modelling algorithm is a variety of techniques, which are assocoation, clustering, neural networks, and decision trees, etc. By utilizing this technique, it is necessary to study to effectively using the large number of materials. In this paper, we evaluate in particular the performance of the algorithm based on the results of the clustering using Facebook Insights data for the EM algorithm to be evaluated as a good performance in clustering. Through this analysis it was based on the results of the application of the experimental data of the change and the South Australian state library according to the performance of the EM algorithm.

An Exploratory Study on Convergence generation according to the convergence level estimation of Digital Device and Service (디지털기기와 디지털서비스의 컨버전스 수준 평가에 따른 컨버전스 세대의 탐색적 고찰)

  • Kim, Yeon-Jeong
    • Journal of Digital Convergence
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    • v.9 no.4
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    • pp.169-179
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    • 2011
  • The purpose of this study are as follows. First, to analyze digital convergence level of convergence generation to demographic variables. Second, the convergence level to digital device and using frequency to digital service. Third, the convergence level to digital service and using frequency to digital service. The research methods FGI, the interview with IT expert group and survey. The results of research are as follows. First, 30 aging, expert group, higher education group over graduate school are actively using and participated. Second, high level of convergence device are smart-phone, tablet PC, net-book are in order. high level of convergence service are SNS service, twitter, uee, portal messenger and app store, e-Book, web hard are in order. Third, The convergence generation enjoying app-store of smartphone, wireless game and more participating facebook/cyworld twitter, Portal, internet community.

Mobile Shopping Motives and Fashion Application Acceptance (모바일 쇼핑동기와 패션애플리케이션 수용)

  • Lee, Mi-Jin;Lee, Kyu-Hye
    • Journal of Digital Convergence
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    • v.11 no.1
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    • pp.153-163
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    • 2013
  • The application demand has been rapidly increasing along the growth of smart devices. Companies actively use the application as marketing tools. In particular, fashion businesses expect the improvement of customer loyalty and brand image by using the applications as the communication channel with consumers. This paper investigated the relationship between mobile shopping motives and mobile shopping acceptance. Influence of such variables on perceived importance of various fashion application attributes was also accessed. Data from male and female respondents were analyzed for the empirical study. Results indicated that mobile shopping motives were classified into convenience, ubiquity, impulsiveness and economic motives. Fashion application attribute was classified into contents, continuous management, design/visibility, downloading and community. Mobile shopping motives had significant correlation with fashion application acceptance. Shopping motives and fashion application acceptance had significant impacts on perceived importance of various fashion application attributes.

Analysis of Big Data Visualization Technology Based on Patent Analysis (특허분석을 통한 빅 데이터의 시각화 기술 분석)

  • Rho, Seungmin;Choi, YongSoo
    • Journal of the Institute of Electronics and Information Engineers
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    • v.51 no.7
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    • pp.149-154
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    • 2014
  • Modern data computing developments have led to big improvements in graphic capabilities and there are many new possibilities for data displays. The visualization has proven effective for not only presenting essential information in vast amounts of data but also driving complex analyses. Big-data analytics and discovery present new research opportunities to the computer graphics and visualization community. In this paper, we discuss the patent analysis of big data visualization technology development in major countries. Especially, we analyzed 160 patent applications and registered patents in four countries on November 2012. According to the result of analysis provided by this paper, the text clustering analysis and 2D visualization are important and urgent development is needed to be oriented. In particular, due to the increase of use of smart devices and social networks in domestic, the development of three-dimensional visualization for Big Data can be seen very urgent.

Development of story-based growth type content using 3D printing (3D프린팅을 활용한 스토리 기반 성장형 콘텐츠 개발)

  • Lee, Young cheon
    • The Journal of the Convergence on Culture Technology
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    • v.4 no.1
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    • pp.27-32
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    • 2018
  • Recently, diverse bio-growth and object production experience learning contents have been developed for AR-based storytelling. In this paper, we will develop a storytelling-based growth type content using 3D printer which can add interest in and motivation of experiential learning. It is possible to increase the value of the characters produced by 3D printer as they can be used as personal collections. The bio-growth type content enables the learners and users to experience the local culture, history, and tourism ecology, which can enhance the educational effect by promoting their understanding in a fun way. The purpose of this study is to develop an application for experiential learning contents which creates a virtual environment in an object smart device where you can experience the culture and ecology of a learning community, and then produce the output using the 3D printer to keep as a personal souvenir. The developed contents application for experiential learning can be utilized not only for students but also for tourists. It is expected to serve as a source for further development of various contents through 3D printing technology.

M-Learning Application for Ubiquitous Learning Based on Android Web Platform (안드로이드 웹 플랫폼 기반 U-Learning을 위한 M-Learning 애플리케이션)

  • Kim, Hye-Jin
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.12
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    • pp.5564-5569
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    • 2011
  • In this paper we introduced Augmented Reality (AR) on Android platform for ubiquitous learning (u-learning). Android is breaking new ground for mobile computing and open technologies. Android is versatile as it is not limited only to mobile phones, but it can be installed on various devices. Android gives developers the opportunity to leverage their development skills, while also building an exciting and active community. Augmented Reality (AR) is going to be the future of most apps; all it takes is a decent processor, a camera, a compass and a GPS, all of which are becoming increasingly common on smart phones. Through AR we can have educational tools that provide individuals with total flexibility to receive, send, and review training and detailed product information through an increasingly ubiquitous web-enabled communication device. In this paper, we proposed Augmented Reality for Species Identification using Android Smartphone with augmented reality in species determination. This study is appropriate in the field of Biology. This is useful in outdoor experimental activities of the students. Like for example while they are visiting the zoo, botanical garden and etc.

WhoAmI: Personal Information Sharing Application over WiFi and WiFi Direct (WhoAmI: 와이파이와 와이파이 다이렉트 환경에서의 개인정보 공유 어플리케이션)

  • Kwak, Jun-Seok;Park, Jongmoon;Lee, Myung-Joon
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.18 no.2
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    • pp.371-378
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    • 2014
  • As people are taking part in more versatile social activities, it becomes more frequent and more important for people to share personal information each other in appropriate level. Unfortunately, although the rapid spread of smart devices and advance of network technologies have brought many applications for information sharing into our hands, they do not provide effective mechanism for sharing personal information on collocated people. In this paper, we introduce an android application named WhoAmI which provides the functionality of sharing personal information on nearby users over Wi-Fi Direct as well as Wi-Fi network environment. According to the predefined access level such as business, community or friend, WhoAmI naturally provides profile information to accessible users. In addition, the information such as music, photo, movie can be effectively shared through the application.

A Study on Communication Competency Analysis and Development Plan of Educational Content for Engineering Undergraduates (이공계 대학생의 커뮤니케이션 역량 분석 및 교육콘텐츠 개발 방안 연구)

  • Kim, Kyung-Hwa
    • The Journal of the Korea Contents Association
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    • v.17 no.5
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    • pp.529-539
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    • 2017
  • The purpose of this study is to categorize and analyze the communication competency of engineering undergraduates and to develop educational content in order to improve that. In this study, communication competency of engineering undergraduates was categorized into three areas: critical thinking, scientific communication, and media literacy. As a means to improve communication competency, the experience with and perception of writing were investigated. The communication competency of undergraduates needs to be improved overall. There is a high need for writing programs that enhance critical thinking oriented around practice. It suggests flipped learning based on smart education, E-community, problem-solving programs based on action learning, cooperative learning programs, reflection journals & portfolio, and collaborative writing programs as educational content. The results of this study can be used as basic data to design competency-based communication curriculum and practical applications for engineering undergraduates.

Customized Digital TV System for Individuals/Communities based on Data Stream Mining (데이터 스트림 마이닝 기법을 적용한 개인/커뮤니티 맞춤형 Digital TV 시스템)

  • Shin, Se-Jung;Lee, Won-Suk
    • The KIPS Transactions:PartD
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    • v.17D no.6
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    • pp.453-462
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    • 2010
  • The switch from analog to digital broadcast television is extended rapidly. The DTV can offer multiple programming choices, interactive capabilities and so on. Moreover, with the spread of Internet, the information exchange between the communities is increasing, too. These facts lead to the new TV service environment which can offer customized TV programs to personal/community users. This paper proposes a 'Customized Digital TV System for Individuals/Communities based on Data Stream Mining' which can analyze user's pattern of TV watching behavior. Due to the characteristics of TV program data stream and EPG(electronic program guide), the data stream mining methods are employed in the proposed system. When a user is watching DTV, the proposed system can control the surrounding circumstances as using the user behavior profiles. Furthermore, the channel recommendation system on the smart phone environment is proposed to utilize the profiles widely.