• Title/Summary/Keyword: 소셜사물인터넷

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An IoT Tag and Social Message-based Device Control System (IoT 태그 및 소셜 메시지 기반 사물 제어 시스템)

  • Baek, Seung Min;Jin, Yeon Ju;Ha, Kwon Woo;Han, Sang Wook;Jeong, Jin-Woo
    • KIISE Transactions on Computing Practices
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    • v.23 no.9
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    • pp.550-556
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    • 2017
  • Due to the rapid growth and development of Internet of Things (IoT), various devices are now accessible and controllable anytime from anywhere. However, the current IoT system requires a series of complex steps (e.g., launch an application, choose a space and thing, control the thing, etc.) to control the IoT devices; therefore, IoT suffers from a lack of efficient and intuitive methods of interacting with users. To address this problem, we propose a novel IoT control framework based on IoT tags and social messages. The proposed system provides an intuitive and efficient way to control the device based on the device ownership: 1) users can easily control the device by IoT tagging, or 2) users can send an IoT social message to the device owner to request control of the tagged device. Through the development of the prototype system, we show that the proposed system provides an efficient and intuitive way to control devices in the IoT environment.

Vehicle Trust Evaluation for Sharing Data among Vehicles in Social Internet of Things (소셜 사물 인터넷 환경에서 차량 간 정보 공유를 위한 신뢰도 판별)

  • Baek, Yeon-Hee;Bok, Kyoung-Soo;Yoo, Jae-Soo
    • The Journal of the Korea Contents Association
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    • v.21 no.3
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    • pp.68-79
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    • 2021
  • On the Social Internet of Things (SIoT), social activities occur through which the vehicle generates a variety of data, shares them with other vehicles, and sends and receives feedbacks. In order to share reliable information between vehicles, it is important to determine the reliability of a vehicle. In this paper, we propose a vehicle trust evaluation scheme to share reliable information among vehicles. The proposed scheme calculates vehicle trust by considering user reputation and network trust based on inter-vehicle social behaviors. The vehicle may choose to scoring, ignoring, redistributing, etc. in the social activities inter vehicles. Thereby, calculating the user's reputation. To calculate network trust, distance from other vehicles and packet transmission rate are used. Using user reputation and network trust, local trust is calculated. It also prevents redundant distribution of data delivered during social activities. Data from the Road Side Unit (RSU) can be used to overcome local data limitations and global data can be used to calculate a vehicle trust more accurately. It is shown through various performance evaluations that the proposed scheme outperforms the existing schemes.

A Service Marketing Success Using Internet of Things: The Case of Cleveland Museum of Arts in the United States (사물인터넷을 이용한 서비스 마케팅의 성공: 미국 클리블랜드 미술관의 사례)

  • Joo, Mi-Kyoung;Kim, Myung-Hee
    • Journal of Digital Convergence
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    • v.14 no.11
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    • pp.549-555
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    • 2016
  • This paper tries to find the implications applied to art institutions of Korea by analyzing what the content and consequences of services of the Cleveland Museum of Art provided after the Internet of Things adoption in the theoretical perspectives strengthening service marketing through the Internet of Things increases visits and participation in the museum. For analysis, journal articles, statistics, and government press releases, news articles, web pages, web page articles are collected. The results are first, the application of digital and social media is positive in visit to the museum and monetization. Second, the introduction of the Internet of Things will enhance the museum's 'Education', 'Accessibility', 'Communications' services, as well as significantly increase on and offline participation by activating experience. Third, technical support from related companies with the support of local government funds is essential to build the system. Consequently, in order to enable the participation of the spectators in the galleries it is proposed aggressive adoption of such digital technology in domestic barren market of Internet of Things.

Considerable Factors According to Classification of Social Robot Services (소셜 로봇 서비스의 유형화에 따른 유형별 고려 요소)

  • Lee, Ki-Lim;Jeong, Min-Ji;Choi, Seungyeon;Park, Jae Wan
    • Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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    • v.8 no.8
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    • pp.883-892
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    • 2018
  • Recently, as interest in social robots to support physical convenience and emotional sympathy has increased, and social internet has developed, a social robot has evolved as various services simply beyond robot function. Therefore, to develop a social robot service effectively, it is required to study the functional application and methods of interaction between user and social robot service. The purpose of this study is to classify social robot services and to suggest the types of elements that need to be considered in service development. To do this, we conducted in-depth case studies and analysis based on the theoretical definitions and characteristics of social robots. Then, based on the sympathy and functions, we classified social robot services into 1) emotional support type, 2) companion type, 3) guide type, and 4) life support type. In addition, in this study, we derive the considerable factors according to the classified types for the development of effective social robot services. This study will contribute to the understanding and development of various services using a social robot.

Social network analysis of keyword community network in IoT patent data (키워드 커뮤니티 네트워크의 소셜 네트워크 분석을 이용한 사물 인터넷 특허 분석)

  • Kim, Do Hyun;Kim, Hyon Hee;Kim, Donggeon;Jo, Jinnam
    • The Korean Journal of Applied Statistics
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    • v.29 no.4
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    • pp.719-728
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    • 2016
  • In this paper, we analyzed IoT patent data using the social network analysis of keyword community network in patents related to Internet of Things technology. To identify the difference of IoT patent trends between Korea and USA, 100 Korea patents and 100 USA patents were collected, respectively. First, we first extracted important keywords from IoT patent abstracts using the TF-IDF weight and their correlation and then constructed the keyword network based on the selected keywords. Second, we constructed a keyword community network based on the keyword community and performed social network analysis. Our experimental results showed while Korea patents focus on the core technologies of IoT (such as security, semiconductors and image process areas), USA patents focus on the applications of IoT (such as the smart home, interactive media and telecommunications).

소셜 M2M 서비스 개발

  • Kim, Yong-Jin;Kim, Gyeong-Su
    • Information and Communications Magazine
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    • v.32 no.2
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    • pp.111-113
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    • 2015
  • 소셜 M2M 서비스는 지능형 M2M 플랫폼을 내장한 M2M 단말들이 자율적으로 소셜 그룹을 형성하고 상호간의 협업을 통해 창출된 지능형 M2M 융 복합 서비스를 말한다. 소셜 M2M 서비스 개발을 위해서는 그 핵심기술로 M2M 공통 서비스 기능을 지원하는 공통 프레임워크와 지능화 기술, 협업 기술, 융합 기술을 포함하는 지능형 M2M 플랫폼이 필요하며, 사물인터넷 생태계의 S(Service)-P(Platform)-N(Network)-D(Device) 각 계층별로 관련 솔루션을 효과적으로 구축하는 것이 필요하다.

An Insight Study on Keyword of IoT Utilizing Big Data Analysis (빅데이터 분석을 활용한 사물인터넷 키워드에 관한 조망)

  • Nam, Soo-Tai;Kim, Do-Goan;Jin, Chan-Yong
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2017.10a
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    • pp.146-147
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    • 2017
  • Big data analysis is a technique for effectively analyzing unstructured data such as the Internet, social network services, web documents generated in the mobile environment, e-mail, and social data, as well as well formed structured data in a database. The most big data analysis techniques are data mining, machine learning, natural language processing, and pattern recognition, which were used in existing statistics and computer science. Global research institutes have identified analysis of big data as the most noteworthy new technology since 2011. Therefore, companies in most industries are making efforts to create new value through the application of big data. In this study, we analyzed using the Social Matrics which a big data analysis tool of Daum communications. We analyzed public perceptions of "Internet of things" keyword, one month as of october 8, 2017. The results of the big data analysis are as follows. First, the 1st related search keyword of the keyword of the "Internet of things" has been found to be technology (995). This study suggests theoretical implications based on the results.

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Analysis and Design of Social-Robot System based on IoT (사물인터넷 기반 소셜로봇 시스템의 분석 및 설계)

  • Cho, Byung-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.19 no.1
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    • pp.179-185
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    • 2019
  • A core technology of social robot is voice recognition and dialogue engine technology, but too much money is needed for development and an implementation of robot's conversation function is difficult resulting from insufficiency of performance. Dialogue function's implementation between human and robot can be possible due to advance of cloud AI technology and several company's supply of their open API. In this paper, current intelligent social robot technology trend is investigated and effective social robot system architecture is designed. Also an effective analysis and design method of social robot system will be presented by showing user requirement analysis using object-oriented method, flowchart and screen design.