• Title/Summary/Keyword: Intelligent Infromation Services

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College Students' Needs and Perception Assessment to Apply Virtual Reality(VR) Techniques to Library Services (가상현실(VR) 기술의 도서관서비스 적용에 대한 대학생들의 인식 및 요구 조사)

  • Kwon, Sun-young
    • Journal of the Korea Convergence Society
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    • v.10 no.5
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    • pp.141-148
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    • 2019
  • The study aims to assess college students' perception and needs for applying virtual reality(VR) techniques to library services. To achieve the purpose of the study, the study broadly reviewed previous studies related to applying various intelligent information technology including VR techniques to the core tasks and services in the fields of library. The study also examined total 563 college students' needs and perception regarding to applying VR techniques to current library services by using the survey method. On the basis of the survey findings, the study suggested some strategies for re-educating and preparing current librarains and library workers who can utilize new intelligent information technologies and contents including VR in the fields of library.

Research of Semantic Considered Tree Mining Method for an Intelligent Knowledge-Services Platform

  • Paik, Juryon
    • Journal of the Korea Society of Computer and Information
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    • v.25 no.5
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    • pp.27-36
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    • 2020
  • In this paper, we propose a method to derive valuable but hidden infromation from the data which is the core foundation in the 4th Industrial Revolution to pursue knowledge-based service fusion. The hyper-connected societies characterized by IoT inevitably produce big data, and with the data in order to derive optimal services for trouble situations it is first processed by discovering valuable information. A data-centric IoT platform is a platform to collect, store, manage, and integrate the data from variable devices, which is actually a type of middleware platforms. Its purpose is to provide suitable solutions for challenged problems after processing and analyzing the data, that depends on efficient and accurate algorithms performing the work of data analysis. To this end, we propose specially designed structures to store IoT data without losing the semantics and provide algorithms to discover the useful information with several definitions and proofs to show the soundness.