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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00113147</identifier>
        <datestamp>2025-01-20T06:44:53Z</datestamp>
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        <jpcoar:jpcoar xmlns:datacite="https://schema.datacite.org/meta/kernel-4/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:dcndl="http://ndl.go.jp/dcndl/terms/" xmlns:dcterms="http://purl.org/dc/terms/" xmlns:jpcoar="https://github.com/JPCOAR/schema/blob/master/1.0/" xmlns:oaire="http://namespace.openaire.eu/schema/oaire/" xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#" xmlns:rioxxterms="http://www.rioxx.net/schema/v2.0/rioxxterms/" xmlns:xs="http://www.w3.org/2001/XMLSchema" xmlns="https://github.com/JPCOAR/schema/blob/master/1.0/" xsi:schemaLocation="https://github.com/JPCOAR/schema/blob/master/1.0/jpcoar_scm.xsd">
          <dc:title>Mobile Devices as an Infrastructure: A Survey of Opportunistic Sensing Technology</dc:title>
          <dc:title xml:lang="en">Mobile Devices as an Infrastructure: A Survey of Opportunistic Sensing Technology</dc:title>
          <jpcoar:creator>
            <jpcoar:creatorName>Takamasa, Higuchi</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>Hirozumi, Yamaguchi</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName>Teruo, Higashino</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Takamasa, Higuchi</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Hirozumi, Yamaguchi</jpcoar:creatorName>
          </jpcoar:creator>
          <jpcoar:creator>
            <jpcoar:creatorName xml:lang="en">Teruo, Higashino</jpcoar:creatorName>
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          <jpcoar:subject subjectScheme="Other">[特集：ネットワークサービスと分散処理（招待論文）] opportunistic sensing, participatory sensing, crowd behavior,  environmental monitoring, crowd sourcing</jpcoar:subject>
          <datacite:description descriptionType="Other">Now that billions of people carry sensor-enabled mobile devices (e.g., smartphones), employing powerful capability of such commercial mobile products has become a promising approach for large-scale environmental and human-behavioral sensing. Such a new paradigm of scalable context monitoring is known as opportunistic sensing, and has been successfully applied to a broad range of applications. In this paper, we briefly introduce basic architecture and building blocks on which these emerging systems are based, and then provide a survey of recent progress in the opportunistic sensing technology.

------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.23(2015) No.2 (online)
------------------------------</datacite:description>
          <datacite:description descriptionType="Other">Now that billions of people carry sensor-enabled mobile devices (e.g., smartphones), employing powerful capability of such commercial mobile products has become a promising approach for large-scale environmental and human-behavioral sensing. Such a new paradigm of scalable context monitoring is known as opportunistic sensing, and has been successfully applied to a broad range of applications. In this paper, we briefly introduce basic architecture and building blocks on which these emerging systems are based, and then provide a survey of recent progress in the opportunistic sensing technology.

------------------------------
This is a preprint of an article intended for publication Journal of
Information Processing(JIP). This preprint should not be cited. This
article should be cited as: Journal of Information Processing Vol.23(2015) No.2 (online)
------------------------------</datacite:description>
          <datacite:date dateType="Issued">2015-02-15</datacite:date>
          <dc:language>eng</dc:language>
          <dc:type rdf:resource="http://purl.org/coar/resource_type/c_6501">journal article</dc:type>
          <jpcoar:identifier identifierType="URI">https://ipsj.ixsq.nii.ac.jp/records/113147</jpcoar:identifier>
          <jpcoar:sourceIdentifier identifierType="ISSN">1882-7764</jpcoar:sourceIdentifier>
          <jpcoar:sourceIdentifier identifierType="NCID">AN00116647</jpcoar:sourceIdentifier>
          <jpcoar:sourceTitle>情報処理学会論文誌</jpcoar:sourceTitle>
          <jpcoar:volume>56</jpcoar:volume>
          <jpcoar:issue>2</jpcoar:issue>
          <jpcoar:file>
            <jpcoar:URI label="IPSJ-JNL5602002">https://ipsj.ixsq.nii.ac.jp/record/113147/files/IPSJ-JNL5602002.pdf</jpcoar:URI>
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            <jpcoar:extent>1.5 MB</jpcoar:extent>
            <datacite:date dateType="Available">2017-02-15</datacite:date>
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