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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 252 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
VLD, DC, RECONF, ICD, IPSJ-SLDM
(Joint) [detail]
2021-12-01
10:35
Online Online Energy saving in a multi-context coarse grained reconfigurable array with non-volatile flip-flops
Aika Kamei, Takuya Kojima, Hideharu Amano (Keio Univ.), Daiki Yokoyama, Hisato Miyauchi, Kimiyoshi Usami (SIT), Keizo Hiraga, Kenta Suzuki (SSS) VLD2021-20 ICD2021-30 DC2021-26 RECONF2021-28
IoT and edge-computing have been attracting much attention and demands for power efficiency as well as high performance ... [more] VLD2021-20 ICD2021-30 DC2021-26 RECONF2021-28
pp.19-24
SANE 2021-11-12
14:50
Online Online GPR data processing methods based on extrem gradient boosting algorithm to detect the backfill grouting of shield tunnel
Xiongyao Xie, Li Zeng, Biao Zhou (Tongji Univ.) SANE2021-59
Shield tunnel method is currently the most important method for tunnel excavation in soft soil areas. With the construct... [more] SANE2021-59
pp.144-148
SDM 2021-10-21
15:20
Online Online Highly sensitive TMR sensor and its application to bio-magnetic field measurement
Mikihiko Oogane (Tohoku Univ.) SDM2021-50
The tunnel magneto-resistive sensor (TMR sensor) using a ferromagnetic tunnel junction with small size and low power con... [more] SDM2021-50
pp.21-22
NS 2021-10-07
16:10
Online Online An Evaluation of Multipath Tunneling using P4
Hiroaki Motohashi, Kien Nguyen, Hiroo Sekiya (Chiba Univ.) NS2021-74
Recently, a multipath tunneling technique has been proposed to improve the throughput of communication over the tunnels.... [more] NS2021-74
pp.33-38
SDM, ICD, ITE-IST [detail] 2021-08-18
09:30
Online Online [Invited Talk] Analog in-memory computing in FeFET based 1T1R array for low-power edge AI applications
Daisuke Saito, Toshiyuki Kobayashi, Hiroki Koga (SONY), Yusuke Shuto, Jun Okuno, Kenta Konishi (SSS), Masanori Tsukamoto, Kazunobu Ohkuri (SONY), Taku Umebayashi (SSS), Takayuki Ezaki (SONY) SDM2021-36 ICD2021-7
Deep neural network (DNN) inference for edge AI requires low-power operation, which can be achieved by implementing mass... [more] SDM2021-36 ICD2021-7
pp.33-37
SDM 2021-06-22
15:20
Online Online [Invited Lecture] Development of TFET-based qubits enabling high-temperature operation to realize silicon-based quantum computing
Takahiro Mori (AIST) SDM2021-25
Quantum computers have been attractive because they could realize large-scale and highly complicated calculations that c... [more] SDM2021-25
p.16
NLP, MSS
(Joint)
2021-03-16
11:35
Online Online Circuit simulation of coupled RTD oscillators to generate OAM wave with wave propagation
Kyoshi Oyaizu (Hiroshima City Univ.), Tomoya Hamao (Hiroshima Inst. of Tech.), Hisato Fujisaka (Hiroshima City Univ.), Masayuki Yamauchi (Hiroshima Inst. of Tech.) NLP2020-65
Multiplexing by the superimposition of electromagnetic waves with different orbital angular momentum (OAM) can be consid... [more] NLP2020-65
pp.59-63
CPM 2021-03-03
14:00
Online Online Ferromagnetic Single-Electron Devices Comprising Co Nanoparticles Assembled by Use of On-Chip Electromagnets
Kenta Fujikura, Tetsuya Urae, Kazuma Sekine, Masataka Moriya, Hiroshi Shimada (UEC), Ayumi Hirano-Iwata (TU), Fumihiko Hirose (YU), Yoshinao Mizugaki (UEC) CPM2020-70
In this research, cobalt nanoparticles, which are ferromagnets, were assembled in a nanogap by magnetic field alignment ... [more] CPM2020-70
pp.55-58
OME, IEE-DEI 2021-03-02
11:05
Online Online Carrier Conduction Mechanism of Bilayer Films with High Barrier Height at the NPD/mCP Interface
Ryo Sato, Yoshiyuki Seike, Tatsuo Mori (AIT) OME2020-28
We studied the electrical conduction of the bilayer specimen of N,N′-bis(naphthalen-1-yl)-N,N′- bis(phenyl)benzidine (α-... [more] OME2020-28
pp.35-38
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
10:20
Online Online A Note on Improving Performance of Deep Learning-based Distress Detection for Supporting Maintenance of Subway Tunnels -- Accuracy Verification Focusing on Tunnel Wall Characteristics --
Tomoki Haruyama, Keisuke Maeda, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents the performance improvement of deep learning-based distress detection to support the maintenance of ... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
10:45
Online Online A Note on Estimation of Expert-Novice Level Based on Eye Tracking and Motion Data from Engineers While Inspecting Subway Tunnel
Yusuke Akamatsu, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents estimation of expert-novice levels based on eye tracking and motion data obtained while engineers in... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-19
16:50
Online Online [Special Talk] Improving Efficiency of Hammering Inspection of Subway Tunnels based on Analyzing Inspection Data
Motoki Oyama, Yuki Wakuda, Maiku Abe (Hokkaido Univ.), Yukihiro Ishikawa, Yuki Enokidani, Daisuke Tanaka, Hideaki Yamaguchi (Tokyo Metro)
In this study, we aimed at optimizing the operation of the upper floor hammering sound inspection of the subway tunnel, ... [more]
SDM 2021-01-28
15:05
Online Online [Invited Talk] Vertical Gate-All-Around Tunnel FETs Using InGaAs Nanowire/Si with Core-Multishell Structure
Katsuhiro Tomioka, Hironori Gamo, Junichi Motohisa, Takashi Fukui (Hokkaido Univ.) SDM2020-52
We demonstrate vertical gate-all-around (VGAA) tunnel FETs (TFETs) using InGaAs core-multishell (CMS) nanowire (NW)/Si h... [more] SDM2020-52
pp.13-16
KBSE 2021-01-23
15:00
Online Online Consideration of evaluation datasets for DNS tunnel detection research
Tetsuya Asakura, Takeo Tatsumi (OUJ) KBSE2020-32
In this research, we considered of evaluation datasets for dns tunnel detection research.
In this field, there are not ... [more]
KBSE2020-32
pp.19-24
LQE, CPM, ED 2020-11-27
13:00
Online Online Optimization of lateral Mg activation in LEDs with GaN tunnel junctions
Mikiko Tasaki, Kazuki Kiyohara, Mahito Odawara, Taichi Ito, Tetsuya Takeuchi, Satoshi Kamiyama, Motoaki Iwaya (Meijo Univ.), Isamu Akasaki (Nagoya Univ.) ED2020-18 CPM2020-39 LQE2020-69
Current confinement structures with GaN tunnel junctions have been utilized in LEDs and laser diodes. In such devices, a... [more] ED2020-18 CPM2020-39 LQE2020-69
pp.67-70
SDM 2020-11-20
15:40
Online Online [Invited Talk] NEGF simulation of band-to-band tunneling in van der Waals heterostructures
Nobuya Mori, Futo Hashimoto, Takaya Mishima, Hajime Tanaka (Osaka Univ) SDM2020-33
Inter-layer band-to-band tunneling is investigated by using the nonequilibrium Green function (NEGF) method. After stud... [more] SDM2020-33
pp.52-57
ISEC, IT, WBS 2020-03-10
13:25
Hyogo University of Hyogo
(Cancelled but technical report was issued)
Research on DNS tunnel detection by machine learning using appearance characters -- Consideration of implementation of evaluation program --
Tetsuya Asakura, Takeo Tatsumi (OUJ) IT2019-103 ISEC2019-99 WBS2019-52
In this study, we considered an implementation a detection technique of DNS tunnel.
This detection techniqe is likely t... [more]
IT2019-103 ISEC2019-99 WBS2019-52
pp.87-94
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
13:30
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A Note on Estimation of rock compressive strength index from drilling data based on online learning
Kentaro Yamamoto, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
It is necessary to evaluate the ground condition of the rock mass for safe and efficient tunnel construction. Currently,... [more]
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
14:15
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A note on detection of distress regions in subway tunnels by using U-net based network
An Wang, Ren Togo, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ)
This paper presents an automated distress region detection method using subway tunnel images. We previously proposed a m... [more]
ITE-HI, IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2020-02-27
15:55
Hokkaido Hokkaido Univ.
(Cancelled but technical report was issued)
A Note on Classification of Experienced and Novice Inspectors Based on Bio-signals While Inspecting in Subway Tunnels
Tetsuya Kushima, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents classification of experienced and novice inspectors based on bio-signals while inspecting in subway ... [more]
 Results 21 - 40 of 252 [Previous]  /  [Next]  
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