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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 71 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CS 2021-10-14
10:15
Online Online An Experimental Study on Improving Accuracy of Location Estimation in Finger Print Using CNN and ResNet
Yu Sakanishi, Satoru Aikawa, Shinichiro Yamamoto, Yuta Sakai (Univ of Hyogo) CS2021-52
Recently, indoor navigation system is one of the important technologies. We are studying
an indoor location estimation ... [more]
CS2021-52
pp.1-5
SAT 2021-10-07
17:50
Online Online A potential cause of pulsive noises in receiving BS signals
Ryouichi Nishimura, Byeongpyo Jeong, Hajime Susukita, Takashi Takahashi (NICT) SAT2021-46
The level of receiving BS signals is affected by various factors such as precipitation in the atmosphere and the conditi... [more] SAT2021-46
pp.17-22
MI 2021-07-09
10:30
Online Online Applying Convolutional Network to Predict Pathology of Postchemotherapy Retroperitoneal Nodal Masses in Germ Cell tumors
Yoshimasa Iwano, Satoshi Nitta (Univ. of Tsukuba), Takahiro Kojima (Aichi Cancer Center), Hideki Kakeya (Univ. of Tsukuba) MI2021-15
The main treatment for advanced testicular cancer is chemotherapy and following surgical resection of residual masses. T... [more] MI2021-15
pp.25-30
MVE, IPSJ-CVIM 2021-01-22
15:35
Online Online [Short Paper] Basic examination about wiring status judgment of switchboard by image recognition
Keishi Nishimoto, Takeshi Hirama (itic.pref.ibaraki.jp) MVE2020-40
In the manufacturing industry, especially in the field of wiring work, the shortage of workers is an issue, and even beg... [more] MVE2020-40
pp.45-46
SRW, SeMI, CNR
(Joint)
2020-11-26
11:50
Online Online Wireless Sensor Networks Construction Support Application -- Estimation of RSSI prediction model formula --
Etsushi Oda, Koki Kawauchi, Toshihiko Hamasaki (HIT) SeMI2020-18
We developed an application system to determine the location of relay nodes in a mesh-type wireless sensor network of 2.... [more] SeMI2020-18
pp.13-16
NC, MBE 2019-12-06
15:05
Aichi Toyohashi Tech Hierarchical prediction error model with echo state network for the auditory local-global oddball paradigm
Kosuke Miyoshi (NN), Hiroshi Yamakawa (UTokyo), Koichi Takahashi (RIKEN) MBE2019-55 NC2019-46
For the animals, it is imporant to capture important changes in the environmental with smaller energy using hierarchical... [more] MBE2019-55 NC2019-46
pp.61-65
AP 2019-10-17
12:30
Osaka Osaka Univ. [Poster Presentation] A Simplified Estimation Method of Propagation Loss considering Blocking Vehicles in V2V Communication Environments
Kentaro Yamane, Hisato Iwai, Hideichi Sasaoka, Shinsuke Ibi (Doshisha Univ.) AP2019-78
The amount of calculation loads increases when calculating the propagation loss considering blocking vehicles by the ray... [more] AP2019-78
pp.1-2
MW, EST, OPE, MWP, EMT, IEE-EMT, THz [detail] 2019-07-18
13:40
Hokkaido Hakodate City Central Library Design and Evaluation of 3-Dimensional Printed Reflector Fresnel Lens Antenna Based on Acrylonitrile Butadiene Styrene Plastics for W-Band Millimeter-Wave Radar Applications
Shunichi Futatsumori, Nobuhiro Sakamoto, Tomio Soga (ENRI) EMT2019-13 MW2019-26 OPE2019-17 EST2019-15 MWP2019-13
This report discusses the design and evaluation of 3-dimensional (3D) printed reflector Fresnel lens antenna based on Ac... [more] EMT2019-13 MW2019-26 OPE2019-17 EST2019-15 MWP2019-13
pp.41-45
MW, EST, OPE, MWP, EMT, IEE-EMT, THz [detail] 2019-07-18
11:15
Hokkaido Hakodate City Central Library Kretschmann- and Otto-type surface plasmon resonance waveguide sensors in the terahertz region
Kota Mitsutake, Jun Shibayama, Junji Yamauchi, Hisamatsu Nakano (Hosei Univ.) EMT2019-23 MW2019-36 OPE2019-27 EST2019-25 MWP2019-23
We propose surface plasmon resonance(SPR) waveguide sensors based on the Kretschmann and Otto configurations in the THz ... [more] EMT2019-23 MW2019-36 OPE2019-27 EST2019-25 MWP2019-23
pp.101-106
AP, SANE, SAT
(Joint)
2019-07-19
09:50
Miyagi Tohoku Univ. Evaluation of Target Position Estimation Accuracy by Compressed Sensing in Consideration of Fresnel Zone
Kengo Suzuki, Naoki Honma, Kentaro Murata (Iwate Univ.) AP2019-40
Recently, a microwave tomography has been studied well for intrusion detection. This study aims an improvement of the ta... [more] AP2019-40
pp.101-106
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
13:55
Okinawa Okinawa Institute of Science and Technology Additive or Concatenating Skip-connections Overcome the Degradation Problem of the Classic Feedforward Neural Network
Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-17 IBISML2019-15
The classic feedforward neural networks like the multilayer perceptron (MLP) degrades its empirical risk by training eve... [more] NC2019-17 IBISML2019-15
pp.75-80(NC), pp.97-102(IBISML)
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
14:20
Okinawa Okinawa Institute of Science and Technology ResNet and Batch-normalization Improve Data Separation Ability
Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-18 IBISML2019-16
The skip-connection and the batch-normalization (BN) in ResNet enable an extreme deep neural network to be trained with ... [more] NC2019-18 IBISML2019-16
pp.81-86(NC), pp.103-108(IBISML)
NC, IBISML, IPSJ-MPS, IPSJ-BIO [detail] 2019-06-18
14:45
Okinawa Okinawa Institute of Science and Technology Theoretical Analysis of the Fixup Initialization for Fast Convergence and High Generalization Ability
Yasutaka Furusho, Kazushi Ikeda (NAIST) NC2019-19 IBISML2019-17
The Fixup initialization is a new initialization method of ResNet for a fast convergence with a high learning rate of SG... [more] NC2019-19 IBISML2019-17
pp.87-92(NC), pp.109-114(IBISML)
IBISML 2019-03-05
14:00
Tokyo RIKEN AIP Expressive power of skip connection and network architecture
Jumpei Nagase, Tetsuya Ishiwata (Shibaura Inst. of Tech.) IBISML2018-106
Model design is one of research topics in deep learning. Proposing a better model has been extensively studied, but ther... [more] IBISML2018-106
pp.9-15
IBISML 2019-03-06
10:00
Tokyo RIKEN AIP Effects of Batch-normalization on Fisher Information Matrix of ResNet
Yasutaka Furusho, Kazushi Ikeda (NAIST) IBISML2018-110
ResNet have intensively been studied and many techniques have been used for better performance.
Batch-normalization (BN... [more]
IBISML2018-110
pp.39-44
PRMU, IBISML, IPSJ-CVIM [detail] 2018-09-21
10:00
Fukuoka   [Short Paper] Computer-Aided Diagnosis of Liver Cancers Using Deep Learning with Fine-tuning
Weibin Wang (Ritsumeikan Univ.), Dong Liang, Lanfen Lin, Hongjie Hu, Qiaowei Zhang, Qingqing Chen (Zhejiang Univ.), Yutaro lwamoto, Xianhua Han, Yen-Wei Chen (Ritsumeikan Univ.) PRMU2018-57 IBISML2018-34
Liver cancer is one of the leading causes of death world-wide. Computer-aided diagnosis plays an important role in liver... [more] PRMU2018-57 IBISML2018-34
pp.139-140
EST 2018-09-07
10:20
Okinawa Kumejima-machi, Okinawa Numerical Analysis of 3-Dimensional Printed Reflector-Lens Antenna Based on Acrylonitrile Butadiene Styrene Plastics for W-Band Millimeter-Wave Radar Applications
Shunichi Futatsumori, Nobuhiro Sakamoto (ENRI) EST2018-54
This report discusses the numerical analysis of 3-dimensional (3D) printed reflector-lens antenna based on Acrylonitrile... [more] EST2018-54
pp.63-67
AP, SANE, SAT
(Joint)
2018-07-19
15:25
Hokkaido Hokkaido Univ. Characterization of Human Body Shadowing Loss at 2.5 GHz and 5.8 GHz in an Indoor Environment
Santiago Perez-Pena (UPM), Yuki Ito, Kai Yoshida, Hisato Iwai, Hideichi Sasaoka (Doshisha Univ.) AP2018-57
The Human Body Shadowing (HBS) loss is evaluated, through the frequencies, 2.5 GHz and 5.8 GHz, comparing HBS' width (Ws... [more] AP2018-57
pp.91-94
WPT 2018-03-03
13:20
Kyoto Kyoto Univ. Uji Campus Evaluation of Loss in Microwave Power Transfer between Array Antennas in Fresnel Region
Seishiro Kojima, Naoki Shinohara, Tomohiko Mitani (Kyoto Univ.) WPT2017-83
This paper describes the investigation on the effect of the loss factors when the array antennas are used as the transmi... [more] WPT2017-83
pp.79-83
PRMU, CNR 2018-02-19
14:20
Wakayama   Verification of Shake Drop for neural network with deep residual block
Hiroki Morishita, Katsufumi Inoue, Michifumi Yoshioka (Osaka Prefecture Univ.) PRMU2017-157 CNR2017-35
(To be available after the conference date) [more] PRMU2017-157 CNR2017-35
pp.71-76
 Results 21 - 40 of 71 [Previous]  /  [Next]  
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