Journal article Open Access

A Study for Advanced Visualization of Sensing Data & Meta Data based WSN

Byeongtae Ahn; Hyukjun Choi


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        <foaf:name>Byeongtae Ahn</foaf:name>
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        <foaf:name>Hyukjun Choi</foaf:name>
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            <foaf:name>Department of International Logistics at Pyeongtaek University, South Korea.</foaf:name>
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    <dct:title>A Study for Advanced Visualization of Sensing Data &amp; Meta Data based WSN</dct:title>
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    <dcat:keyword>Sensor Network; Sensing Data; Metadata; IoT; RFID</dcat:keyword>
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        <foaf:name>Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP)</foaf:name>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#date">2021-08-30</dct:issued>
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    <dct:description>&lt;p&gt;As the 5G environment is established due to the development of network and information and network technologies, wireless sensor network is drawing attention as a technology that will lead the information technology industry in the future. The sensor-based service must collect and process data recognized from various sensors and deliver information to users to understand. However, there is no research to visually express information about sensor resources to make it easier for users to understand. Therefore, this research proposes an efficient visualization model that is both realistic and economical. Then, we designed a scenario applied to real life and built a webpage&lt;/p&gt;</dct:description>
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