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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 50  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2024-03-01
14:15
Okinawa Okinawa Convention Center Ransomware Detection using Traffic Features in SDN
Ken Tanase, Kunio Akashi, Yuji Sekiya, Hiroshi Nakamura (Tokyo Univ.) NS2023-237
In recent years, ransomware has emerged as a significant threat to information security in organizations.
A particular... [more]
NS2023-237
pp.385-390
VLD, HWS, ICD 2024-02-29
09:20
Okinawa
(Primary: On-site, Secondary: Online)
A Scalable Mapping Method for Elastic CGRAs
Makoto Saito, Takuya Kojima, Hideki Takase, Hiroshi Nakamura (UT) VLD2023-106 HWS2023-66 ICD2023-95
 [more] VLD2023-106 HWS2023-66 ICD2023-95
pp.42-47
RECONF 2023-09-14
16:50
Tokyo Tokyo University of Agriculture and Technology Koganei campus
(Primary: On-site, Secondary: Online)
Construction of Visualization Environment for CGRA Operation Verification
Makoto Saito, Takuya Kojima, Hideki Takase, Hiroshi Nakamura (UT) RECONF2023-25
 [more] RECONF2023-25
pp.20-21
RECONF 2023-06-08
15:10
Kochi Eikokuji Campus, Kochi University of Technology
(Primary: On-site, Secondary: Online)
Study on mapping methods for Elastic CGRA
Makoto Saito, Takuya Kojima, Hideki Takase, Hiroshi Nakamura (UT) RECONF2023-1
CGRA (Coarse-Grained Reconfigurable Architecture) is an architecture with a two-dimensional array of processing elements... [more] RECONF2023-1
pp.1-6
HWS, VLD 2023-03-02
11:00
Okinawa
(Primary: On-site, Secondary: Online)
VLD2022-88 HWS2022-59 (To be available after the conference date) [more] VLD2022-88 HWS2022-59
pp.91-96
VLD, DC, RECONF, ICD, IPSJ-SLDM [detail] 2022-11-28
14:20
Kumamoto  
(Primary: On-site, Secondary: Online)
A Study of a Design Methodology for Various CGRA based on Diplomacy
Takuya Kojima (UTokyo/JST PRESTO), Makoto Saito, Hiroshi Nakamura (UTokyo) VLD2022-22 ICD2022-39 DC2022-38 RECONF2022-45
(To be available after the conference date) [more] VLD2022-22 ICD2022-39 DC2022-38 RECONF2022-45
pp.19-24
RECONF 2022-06-07
13:25
Ibaraki CCS, Univ. of Tsukuba
(Primary: On-site, Secondary: Online)

Shoin Maeda, Hiroshi Nakamura, Hideki Takase (UT) RECONF2022-2
To expand the application area of model predictive control (MPC), a control system design framework that guarantees the ... [more] RECONF2022-2
pp.7-12
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2022-03-11
14:50
Online Online GA-based Software Pipeline Scheduling for CGRAs
Masato Nakagawa, Takuya Kojima, Hideki Takase, Hiroshi Nakamura (UTokyo) CPSY2021-65 DC2021-99
(To be available after the conference date) [more] CPSY2021-65 DC2021-99
pp.120-125
RCS 2021-06-23
16:10
Online Online Proof of concept of Normally-off type local 5G base station
Kazutami Arimoto (Okaya.a Prefectural Univ.), Hiroshi Nakamura, Ryuichi Sakamoto, Yuta Suzuki (Univ. of Tokyo), Hideharu Takebe (poco-apoco Networks), Noriaki Yoshikawa, Kensaku Kinosita (Cyber Creative Institute), Tomoyuki Ohya (DOCOMO Technology) RCS2021-44
Using open software and software defined radio, we developed a proof-of-concept facility (PoC) for a normally-off local ... [more] RCS2021-44
pp.91-96
IN, NS
(Joint)
2021-03-05
11:20
Online Online Proposal for LDoS attack using indirect transmission in Zigbee and a countermeasure against it
Satoshi Okada, Daisuke Miyamoto, Yuji Sekiya, Hiroshi Nakamura (The University of Tokyo) NS2020-153
Low-Rate DoS (LDoS) attack degrades the quality of service with less traffic than typical DoS attacks. LDoS attack has a... [more] NS2020-153
pp.179-184
CPSY, DC, IPSJ-ARC [detail] 2020-07-30
16:15
Online Online Preliminary examination of normally-off power management for local 5G base station
Yuta Suzuki, Ryuichi Sakamoto, Hiroshi Nakamura (UTokyo) CPSY2020-5 DC2020-5
It is necessary to reduce power consumption of base stations (BSs) in local 5G network. This article proposes applying n... [more] CPSY2020-5 DC2020-5
pp.29-35
SR, NS, SeMI, RCC, RCS
(Joint)
2020-07-09
13:00
Online Online Concept of Normally-off type local 5G base station with energy matching AI
Kazutami Arimoto (Okayama Prefectual Univ.), Hiroshi Nakamura, Ryuichi Sakamoto, Yuta Suzuki (Univ. of Tokyo), Hideharu Takebe (poco-apoco Networks Co. Ltd), Noriaki Yoshikawa, Kensaku Kinosita (Cyber Creative Institute Co., Ltd.) RCC2020-4 NS2020-33 RCS2020-67 SR2020-12 SeMI2020-4
 [more] RCC2020-4 NS2020-33 RCS2020-67 SR2020-12 SeMI2020-4
pp.13-18(RCC), pp.13-18(NS), pp.55-60(RCS), pp.19-24(SR), pp.7-12(SeMI)
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2019-11-14
13:00
Ehime Ehime Prefecture Gender Equality Center [Keynote Address] Prospect for Knowledge Intensive Society leveraged by VLSI Design
Hiroshi Nakamura (UTokyo) VLD2019-39 ICD2019-29 IE2019-35 CPSY2019-42 DC2019-63 RECONF2019-40
(To be available after the conference date) [more] VLD2019-39 ICD2019-29 IE2019-35 CPSY2019-42 DC2019-63 RECONF2019-40
p.95(VLD), p.5(ICD), p.5(IE), p.5(CPSY), p.95(DC), p.23(RECONF)
ICD 2018-04-20
11:10
Tokyo   [Invited Talk] A 512Gb 3b/Cell 3D Flash Memory on a 96-Word-Line-Layer Technology
Hiroshi Maejima, Kazushige Kanda, Susumu Fujimura, Teruo Takagiwa, Susumu Ozawa, Jumpei Sato, Yoshihiko Shindo, Manabu Sato, Naoaki Kanagawa, Junji Musha, Satoshi Inoue, Katsuaki Sakurai, Toshifumi Hashimoto (TMC), Hao Nguyen, Ken Cheah, Hiroshi Sugawara, Seungpil Lee (WDC), Toshiki Hisada, Tetsuya Kaneko, Hiroshi Nakamura (TMC) ICD2018-10
A 512Gb 3b/cell flash has been developed on a 96-WL-layer BiCS FLASH technology. This work implements three key technolo... [more] ICD2018-10
pp.39-44
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2017-03-10
14:30
Okinawa Kumejima Island Compiler Toolchain of Deep Learning Accelerator with Wireless 3D Stacked Chips
Tetsui Ohkubo, Takuya Kojima, Hideharu Amano (Keio Univ.), Ryo Takata, Jun Ishii, Ryuichi Sakamoto, Masaaki Kondo, Hiroshi Nakamura (Tokyo Univ.) CPSY2016-155 DC2016-101
 [more] CPSY2016-155 DC2016-101
pp.357-362
ICD, MW 2016-03-02
14:55
Hiroshima Hiroshima University [Invited Talk] An implementation of a building block system with TCI (Thru-Chip Interface) using SOTB process
Hideharu Amano (Keio Univ.), Masayoshi Usami (SIT), Tadahiro Kuroda (Keio Univ.), Masaaki Kondo (Univ. of Tokyo), Yasuhiro Take (Keio Univ.), Hiroshi Nakamura (Univ. of Tokyo), Mitaro Namiki (TUAT), Hiroki Matsutani (Keio Univ.) MW2015-182 ICD2015-105
 [more] MW2015-182 ICD2015-105
pp.49-54
CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] 2015-03-07
09:20
Kagoshima   A Study on a Power Efficient Neurochip with Non-Volatile Memory
Jun Tomii, Masaaki Kondo, Hiroshi Nakamura (Univ. Tokyo) CPSY2014-176 DC2014-102
Along with the evolution of machine learning techniques, neurochips, which are designed for fast neural network processi... [more] CPSY2014-176 DC2014-102
pp.83-88
CPSY, DC
(Joint)
2014-07-30
15:15
Niigata Toki Messe, Niigata Spatiotemporal compression and hierarchization for low-power sensor networks
Takashi Nakada, Yukito Tanaka (Univ. of Tokyo), Keiro Muro (Hitachi), Takeo Murakami, Shintaro Fujisaki (Hitachi Information & Telecommunication Engineering), Takanori Shimura, Taizo Kinoshita (Hitachi), Hiroshi Nakamura (Univ. of Tokyo) CPSY2014-40
Minimizing the energy consumption of sensor network systems is a very critical concern. As a result, we need to minimize... [more] CPSY2014-40
pp.179-184
CPSY, DC
(Joint)
2014-07-30
18:15
Niigata Toki Messe, Niigata Design of OpenCL Library and Execution Dispatcher for Embedded Accelerator
Ryuichi Sakamoto, Mikiko Sato (Tokyo Univ. of Agriculture and Tech. (TUAT)), Hideharu Amano, Tadahiro Kuroda (Keio Univ.), Kimiyoshi Usami (Shibaura Inst. of Tech.), Hiroshi Nakamura (Univ. of Tokyo), Mitaro Namiki (Tokyo Univ. of Agriculture and Tech. (TUAT)) CPSY2014-46
Recently, an embedded processor for use in smartphones and other devices is equipped with some power-efficient accelerat... [more] CPSY2014-46
pp.215-220
CPSY, IPSJ-EMB, IPSJ-SLDM, DC [detail] 2014-03-16
10:15
Okinawa   A Preliminary Study on Energy Saving of Personal ICT Equipment by User Recognition
Thang Cao, Masaaki Kondo, Hiroshi Nakamura (Univ. of Tokyo) CPSY2013-110 DC2013-97
 [more] CPSY2013-110 DC2013-97
pp.247-252
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