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        <identifier>oai:ipsj.ixsq.nii.ac.jp:00178249</identifier>
        <datestamp>2025-01-20T05:12:44Z</datestamp>
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          <dc:title>無線センサネットワークを利用した淡水と海水の混合海域の観測</dc:title>
          <dc:title>Observation Using a Wireless Sensor Network of the Mixed Ocean Space of Fresh Water and Sea Water</dc:title>
          <dc:creator>吉田, 将司</dc:creator>
          <dc:creator>冨田, 青</dc:creator>
          <dc:creator>千葉, 元</dc:creator>
          <dc:creator>Masashi, Yoshida</dc:creator>
          <dc:creator>Sho, Tomita</dc:creator>
          <dc:creator>Hajime, Chiba</dc:creator>
          <dc:subject>環境センシング</dc:subject>
          <dc:description>沿岸漁業では，浅海域の海水温，塩濃度及び潮流の変動特性等を把握することが重要とされている．特に河口付近は淡水と海水が混合するため，複雑な変動特性を有している．筆者らは観測ブイと基地局を無線センサネットワークで接続した観測システムを構築し，取得した海中情報の実時間観測と可視化を目標に研究を行っている．これまでネットワーク構築と多点多層の観測に成功した．本稿では，GPS 受信機を利用したネットワーク同期の採用及びノードの位置情報の可視化システムの試作について述べ，次に実際の汽水域の表層部と中層部の水温を連続観測した結果を報告する．</dc:description>
          <dc:description>The important data in coastal fishery are the sea water temperature of a shallow sea level, salt concentration, and the fluctuation characteristic of a tide. Since fresh water and sea water are mixed, especially near the mouth of a river has the complicated fluctuation characteristic. The authors are studying the real time observation and visualization by a simple observation system which cormected the base station with the observation buoy in the Wireless Sensor Network (WSN). Network construction and observation of the multi-point multilayer were successful. This paper describes the network synchronization using a GPS receiver, and visualization of the position information on a node. Next, we actually observed continuously the water temperature of the surface part of a brackish water level, and a medium-rise part.</dc:description>
          <dc:description>technical report</dc:description>
          <dc:publisher>情報処理学会</dc:publisher>
          <dc:date>2017-03-02</dc:date>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>研究報告ユビキタスコンピューティングシステム（UBI）</dc:identifier>
          <dc:identifier>50</dc:identifier>
          <dc:identifier>2017-UBI-53</dc:identifier>
          <dc:identifier>1</dc:identifier>
          <dc:identifier>5</dc:identifier>
          <dc:identifier>2188-8698</dc:identifier>
          <dc:identifier>AA11838947</dc:identifier>
          <dc:identifier>https://ipsj.ixsq.nii.ac.jp/record/178249/files/IPSJ-UBI17053050.pdf</dc:identifier>
          <dc:language>jpn</dc:language>
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