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        <article-title>The 4th International Symposium on Advanced Technologies and Applications in the Internet of Things ATAIT 2022</article-title>
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          <institution>Venue: Osaka Ibaraki Campus at Ritsumeikan University</institution>
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      <pub-date>
        <year>2022</year>
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    <sec id="sec-1">
      <title>Venue: Osaka Ibaraki Campus at</title>
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    <sec id="sec-2">
      <title>Ritsumeikan University Proceedings</title>
      <p>ATAIT 2022</p>
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    <sec id="sec-3">
      <title>Hybrid Conference Venue: Osaka Ibaraki Campus at Ritsumeikan University</title>
      <p>The 4th International Symposium on Advanced Technologies and
Applications in the Internet of Things (ATAIT 2022) is held as hybrid
conference both on-line and in Ibaraki, Osaka, Japan on August 24-26, 2022
and is sponsored by the VLSI center of Ritsumeikan University and supported
by IEEE CEDA All Japan Joint Chapter. ATAIT provides an international
symposium for professionals, academics, and researchers to present latest
developments in IoT technologies and applications, including the network,
security, processor architecture, high performance computing, image
processing, FPGAs and GPUs, etc. It particularly welcomes those emerging
methodologies and techniques which bridge theoretical studies and
applications in the Internet of Things.</p>
      <p>In 2022, the conference will take place as a hybrid conference due to the
COVID-19 situation. The 4th ATAIT conference will be held in from 24 to 26
August and is chaired by Prof. Xiangbo Kong, Ritsumeikan University, Japan.</p>
      <sec id="sec-3-1">
        <title>Awards</title>
        <sec id="sec-3-1-1">
          <title>Best Paper Award presented to</title>
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        <sec id="sec-3-1-2">
          <title>Masaki Sano, Hiroki Nishikawa, Xiangbo Kong, Hiroyuki Tomiyama,</title>
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        <sec id="sec-3-1-3">
          <title>Tongxin Yang, Tomoaki Ukezono, and Toshinori Sato</title>
          <p>for the paper entitled “An Accuracy-Controllable Approximate Adder for
FPGAs”</p>
        </sec>
        <sec id="sec-3-1-4">
          <title>Best Student Paper Award presented to</title>
        </sec>
        <sec id="sec-3-1-5">
          <title>Madoka Sakou, Kunihiro Kuroda, Yuta Fukuda,</title>
        </sec>
        <sec id="sec-3-1-6">
          <title>Kota Yoshida, and Takeshi Fujino</title>
          <p>for the paper entitled “Deep Learning Side-Channel Attacks against
Hardware-Implemented Lightweight Cipher Midori 64”</p>
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        <title>Committees</title>
        <p>General Chair</p>
        <p>Xiangbo KONG (Ritsumeikan University, Japan)
Program Chairs</p>
        <p>Chengyan ZHAO (Ritsumeikan University, Japan)
Aravinda C V (NMAM Institute of Technology, India)
Yuting GENG (Ritsumeikan University, Japan)
Homepage: http://www.atait.se.ritsumei.ac.jp/</p>
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