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Committee Date Time Place Paper Title / Authors Abstract Paper #
SS 2022-03-08
15:55		 Online Online Applying a medium-term prediction method for the number of heat stroke victims to medium-sized local governments
Tetsuya Nakai (Kobe Univ.), Sachio Saiki (Kochi tech.), Masahide Nakamura (Kobe Univ.) SS2021-68		 In our previous research, we proposed a prediction method of the number of heat stroke victims for the next week based o... [more] SS2021-68
pp.157-162
ICM, LOIS 2021-01-22
09:35		 Online Online Characterizing Smart Systems with Interactive Personalization
Takuya Nakata, Sachio Saiki, Masahide Nakamura (Kobe Univ.) ICM2020-50 LOIS2020-38		 The "personal adaptation of services," in which a system provides services according to the preferences and needs of ind... [more] ICM2020-50 LOIS2020-38
pp.93-99
LOIS 2020-03-12
16:55		 Okinawa Nobumoto Ohama Memorial Hall
(Cancelled but technical report was issued)		 Fine-Grained Map Coloring Web Service for JavaScript
Tetsuya Nakai, Sachio Saiki, Masahide Nakamura (Kobe Univ.) LOIS2019-84		 In this paper, we focus on data visualization associated with geographic information in the smart city.
We propose a mo... [more]		 LOIS2019-84
pp.163-168
LOIS, IPSJ-DC
(Joint)		 2014-07-25
10:00		 Tokyo   Extending Presence Sensor Service Framework for using log information
Yuki Kashio, Sachio Saiki, Shinsuke Matsumoto, Masahide Nakamura (Kobe Univ.) LOIS2014-13		 To achieve efficient presence sensing within home network system (HNS),
an inexpensive and elastic system that can be ... [more]		 LOIS2014-13
pp.11-16
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