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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 157  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
COMP, IPSJ-AL 2024-05-08
14:35
Kyoto Kyoto University (Rakuyu-kaikan) Physical Bucket Sort on Two Kind of Items
Hitomi Kozaki, Atsuki Nagao (Ochanomizu Univ.) COMP2024-2
When physically emulating the bucket sort, it would be care that some costs are incurred when placing items into buckets... [more] COMP2024-2
pp.2-6
AP 2024-03-15
10:25
Fukui UNIVERSITY OF FUKUI
(Primary: On-site, Secondary: Online)
A Study on Path loss characteristics estimation methods considering geographical conditions for designing narrowband DR-IoT communication system
Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE) AP2023-212
A versatile variable-range IoT communication system using the VHF-High band, Diversified-Range IoT (DR-IoT) is being con... [more] AP2023-212
pp.63-67
SeMI 2024-01-18
15:35
Yamanashi Raki House Kaiji [Poster Presentation] A Study on Packet Transmission Timing for Dynamic Management of Nodes in Narrowband DR -loT Communication System
Motonari Imai, Takato Ikegame, Naoki Ikeda, Tetsushi Ikegami (Meiji Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato (STE), Mineo Takai (Osaka Univ.) SeMI2023-59
The institutionalization of Diversified-Range IoT (DR-IoT), a versatile variable-range IoT communication system using th... [more] SeMI2023-59
pp.51-55
MIKA
(3rd)
2023-10-11
14:30
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] Field experiments on VHF-High band for design of a quasi-narrow band wireless communication system DR-IoT -- Path loss characteristics estimation methods considering geographical conditions --
Takato Ikegame, Naoki Ikeda, Motonari Imai, Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.), Susumu Ishihara (Shizuoka Univ.), Arata Kato, Shugo Kajita (STE)
In the VHF-High band (207.5 MHz to 222 MHz), research is being conducted on a disaster-response narrowband wireless syst... [more]
AI 2023-09-12
15:55
Hokkaido   AI2023-6 (To be available after the conference date) [more] AI2023-6
pp.33-36
AI 2023-09-12
17:10
Hokkaido   Visualization of Parameter Effects in Pedestrian Flow Simulation Considering Multiple Metrics
Chisa Mori (Ochanomizu Univ.), Mei Takeda (Tsukuba Univ.), Masaki Onishi (AIST), Takayuki Itoh (Ochanomizu Univ.) AI2023-9
Pedestrian flow simulation is an effective approach for predicting human behaviors and movement patterns in practical sc... [more] AI2023-9
pp.45-49
NS, IN, CS, NV
(Joint)
2023-09-08
14:45
Miyagi Tohoku University
(Primary: On-site, Secondary: Online)
Loop Processing Performance in Kotlin and Java
Hayataka Nakamura (Kogakuin Univ.), Takeshi Kamiyama (Nagasaki Univ.), Masato Oguchi (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2023-65
We evaluated the performance of Kotlin and Java programs, and thereafter, proposed a method to improve the performance o... [more] NS2023-65
pp.77-82
NS 2023-05-12
11:15
Tokyo Shinjuku Campus, Kogakuin University + Online
(Primary: On-site, Secondary: Online)
A Study on the Performance of KVS Supported by Application Switch with Lexical Analyzer
Satoshi Ito (Kogakuin Univ.), Akihiro Nakao (Univ. of Tokyo), Masato Oguchi (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2023-18
 [more] NS2023-18
pp.43-48
SS 2023-03-14
11:50
Okinawa
(Primary: On-site, Secondary: Online)
Temporal relation identification toward generating temporal logic formulas
Maiko Onishi (Ochanomizu Univ.), Shinpei Ogata, Kozo Okano (Shinshu Univ.), Daisuke Bekki (Ochanomizu Univ.) SS2022-49
There is room to utilize temporal relations in relation extraction that is incorporated in the analysis of requirements ... [more] SS2022-49
pp.13-18
NC, MBE
(Joint)
2023-03-13
15:30
Tokyo The Univ. of Electro-Communications
(Primary: On-site, Secondary: Online)
Estimation of in vivo brain water dynamics using a two-photon microscope with an automatic spherical aberration collection system
Aoi Gohma (Ochanomizu Univ.), Naoya Adachi, Yoshihiro Ue, Kaori Higuchi, Atsushi Miyawaki (RIKEN), Hiromu Monai (Ochanomizu Univ.) NC2022-96
(To be available after the conference date) [more] NC2022-96
pp.31-34
SeMI, SeMI
(Joint)
2023-01-20
10:30
Tokushima Naruto grand hotel
(Primary: On-site, Secondary: Online)
Design of the basic architecture of a quasi-narrow band wireless communication system, DR-IoT
Susumu Ishihara, Shinka Asano, Ryosuke Umemoto (Shizuoka Univ.), Arata Kato, Shugo Kajita (スペースタイムエンジニアリング), Hiroshi Yamamoto (Ritsumeikan Univ.), Tetsushi Ikegami (Meiji Univ.), Mineo Takai (Osaka Univ.) SeMI2022-97
We have proposed DR-IoT (Diversified-Range/Disaster-Response IoT), a VHF-band wireless communication system using small ... [more] SeMI2022-97
pp.119-124
RCS, NS
(Joint)
2022-12-15
10:35
Aichi Nagoya Institute of Technology, and Online
(Primary: On-site, Secondary: Online)
Service Identification Based on Selected SNI Considering Entropy
Ryo Asaoka (Kogakuin Univ.), Akihiro Nakao (University of Tokyo), Masato Oguchi (Ochanomizu Univ.), Saneyasu Yamaguchi (Kogakuin Univ.) NS2022-130
 [more] NS2022-130
pp.11-16
NS, ICM, CQ, NV
(Joint)
2022-11-24
15:45
Fukuoka Humanities and Social Sciences Center, Fukuoka Univ. + Online
(Primary: On-site, Secondary: Online)
A Study on Distributed Machine Learning with Rich Devices Feedbacking Results to Edge Servers
Saki Takano (Ochanomizu Univ.), Akihiro Nakao (The Univ. of Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.), Masato Oguchi (Ochanomizu Univ.) NS2022-111
Many recent studies have focused on using the data collected by edge devices for machine learning by aggregating those d... [more] NS2022-111
pp.65-70
COMP 2022-10-26
11:15
Fukuoka Kyusyu Univ. Nishijin Plaza A Moderately Exponential Time Satisfiability Algorithm for Linear-Sized Deterministic Width-2 Branching Programs
Tomu Makita (Seikei Univ.), Atsuki Nagao (Ochanomizu Univ.), Tatsuki Okada (Seikei Univ.), Kazuhisa Seto (Hokkaido Univ.), Junichi Teruyama (Univ. of Hyogo) COMP2022-14
 [more] COMP2022-14
pp.2-6
PRMU, IPSJ-CVIM 2022-03-11
09:45
Online Online A Study on Understanding the Meaning of Adverbs by Frequency Spectrum Analysis Using Gaussian Process
Tomoe Taniguchi (Ochanomizu Univ.), Daichi Mochihashi (ISM), Masatoshi Nagano, Tomoaki Nakamura (UEC), Takayuki Nagai (Osaka Univ.), Tetsunari Inamura (NII), Ichiro Kobayashi (Ochanomizu Univ.) PRMU2021-74
In this study, we attempt to understand the meaning of adverbs through the features of human actions.
Specifically, the... [more]
PRMU2021-74
pp.91-96
SeMI 2022-01-21
10:30
Nagano
(Primary: On-site, Secondary: Online)
A Study of Disaster Response IoT(DR-IoT) Wireless System
Yasunori Owada (NICT), Mineo Takai (Osaka Univ.), Shugo Kajita (Space-Time Engineering Japan), Tetsushi Ikegami (Meiji Univ.), Susumu Ishihara, Arata Kato (Shizuoka Univ.), Hiroshi Yamamoto (Ritsumeikan Univ.) SeMI2021-79
 [more] SeMI2021-79
pp.109-113
NS 2021-10-08
09:15
Online Online A study of privacy-preserving distributed machine learning using Rich Clients
Saki Takano (Ochanomizu Univ.), Akihiro Nakao (The Univ. of Tokyo), Saneyasu Yamaguchi (Kogakuin Univ.), Masato Oguchi (Ochanomizu Univ.) NS2021-76
In recent years, edge computing has attracted much attention because of its advantages such as low latency and the abili... [more] NS2021-76
pp.45-50
DE 2021-07-24
13:05
Kanagawa KAIT IT extension center (Hybrid)
(Primary: On-site, Secondary: Online)
Examination of personalization improvement of spot recommendation system considering personality characteristics
Momo Ito (Ochanomizu Univ.), Miki Enoki (IBM Research - Tokyo), Masato Oguchi (Ochanomizu Univ.) DE2021-9
(To be available after the conference date) [more] DE2021-9
pp.46-51
KBSE, IPSJ-SE, SS [detail] 2021-07-08
14:15
Online Online (Zoom) Extraction method for transition relations from conditional statements in natural language requirements specifications
Maiko Onishi (Ochanomizu Univ.), Hiroya Ii, Shinpei Ogata, Kozo Okano (Shinshu Univ.), Daisuke Bekki (Ochanomizu Univ.) SS2021-5 KBSE2021-17
In software development, it is generally known that detecting defects at an early stage of the process reduces rework an... [more] SS2021-5 KBSE2021-17
pp.25-30
PRMU, IPSJ-CVIM, IPSJ-NL 2021-05-21
10:30
Online Online A Study on Domain Adaptation for Video Action Classification Utilizing Synthetic Data.
Hana Isoi (Ochanomizu Univ.), Atsuko Takefusa (NII), Hidemoto Nakada (AIST), Masato Oguchi (Ochanomizu Univ.) PRMU2021-5
The lack of learning data is considered as one of the reasons why the classification accuracies of deep neural networks ... [more] PRMU2021-5
pp.25-30
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