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Committee Date Time Place Paper Title / Authors Abstract Paper #
MI 2016-01-19
13:20		 Okinawa Bunka Tenbusu Kan Development of a optimization method for dose distribution of proton beam scanning
Akira Sano (MHIR), Teiji Nishio (Hiroshima Univ.), Makiko Suitani, Takeshi Nagata, Hidemasa Maekawa (MHIR), Akito Saito (Hiroshima Univ. Hospital), Shigeto Kabuki (Tokai Univ.), Yasushi Nagata (Hiroshima Univ.) MI2015-91		 Optimization of dose distribution to the tumor and critical organs in the proton beam scanning therapy takes long time b... [more] MI2015-91
pp.87-91
ASN 2014-05-30
15:35		 Tokyo Convention Hall, RCAST, The University of Tokyo [Encouragement Talk] Pattern-based Matrix-size Optimization Algorithm for Compressive Sensing in Real-world Body Sensor Networks
Akito Ito, Naoya Namatame, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) ASN2014-38		 Compressive Sensing (CS) is a novel approach for data representation, which can represent signals at a rate below the Ny... [more] ASN2014-38
pp.149-154
ASN, MoNA
(Joint)		 2014-01-24
16:15		 Ehime Hotel Okudogo (Matsuyama) F-CODE: A data abstraction approach for Compressive Sensing in Mobile Sensing Application
Akito Ito, Jin Nakazawa, Kazunori Takashio, Hideyuki Tokuda (Keio Univ.) ASN2013-160		 Mobile sensing is attractive area for researchers and developers in recent years. Especially, the emergence of Smartphon... [more] ASN2013-160
pp.237-241
ASN, RCS, NS, SR
(Joint)		 2013-07-18
10:20		 Shizuoka Hamamatsu Act City [Poster Presentation] Pattern-based Matrix-size Optimization Algorithm for Compressive Sensing in Real-world Body Sensor Networks
Akito Ito, Naoya Namatame, Jin Nakazawa, Hideyuki Tokuda (Keio Univ.) NS2013-41 RCS2013-92 SR2013-29 ASN2013-59		 Compressive Sensing (CS) is a novel approach for data representation, which can represent signals at a rate below the Ny... [more] NS2013-41 RCS2013-92 SR2013-29 ASN2013-59
pp.43-48(NS), pp.85-90(RCS), pp.51-56(SR), pp.71-76(ASN)
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