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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 102  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS, IN
(Joint)
2022-03-11
11:40
Online Online A Study on Bayesian Spatial and Temporal Modeling Approach to Environmental Feature Inference Using Driving Signals From Vehicles
Yukio Ogawa (Muroran-IT), Go Hasegawa (Tohoku Univ.), Masayuki Murata (Osaka Univ.)
Connected vehicles become an ambient sensing platform, as a number of different signals that they record become availabl... [more] IN2021-43
pp.73-78
VLD, HWS [detail] 2022-03-08
09:55
Online Online Wafer-Level Characteristic Variation Modeling with Considering Discontinuous Effect Caused by Manufacturing Equipment
Takuma Nagao (National Institute of Technology (KOSEN)), Michihiro Shintani (Nara Institute of Science and Technology), Ken'ichi Yamaguchi, Hiroshi Iwata (National Institute of Technology (KOSEN)), Tomoki Nakamura, Masuo Kajiyama, Makoto Eiki (SCK), Michiko Inoue (Nara Institute of Science and Technology)
Statistical methods for predicting the performance of large-scale integrated circuits (LSIs) manufactured on a wafer are... [more] VLD2021-92 HWS2021-69
pp.87-92
RCS, SR, SRW
(Joint)
2022-03-04
15:20
Online Online Evaluation of the optimal position of relay station equipped with frequency converter in high frequency band
Masahiro Takigawa, Ryochi Kataoka, Takeo Ohseki, Taishi Watanabe, Kosuke Yamazaki, Yoji Kishi (KDDI Research)
In order to realize the integration of physical and cyber space (CPS: Cyber-Physical System), real-time, high-speed and ... [more] RCS2021-291
pp.195-200
HIP 2021-12-23
16:30
Online Online [Invited Talk] An Empirical Analysis of the Effect of COVID-19 on Subjective Well-Being Using a Spatial Statistical Model
Takaki Sato (Tohoku Univ.) HIP2021-54
In this paper, we show the results of analyzing the subjective well-being data of Japanese people obtained by questionna... [more] HIP2021-54
pp.33-38
NC, MBE
(Joint)
2021-11-26
15:25
Online Online Explaining coarse visual processing in the subcortical pathway with convolutional neural networks
Chanseok Lim, Mikio Inagaki (Osaka Univ.), Takashi Shinozaki (NICT), Ichiro Fujita (Osaka Univ.) NC2021-28
The subcortical pathway for face processing conveys information rapidly but roughly to the amygdala. The fast processing... [more] NC2021-28
pp.1-6
SR 2021-11-04
15:05
Online Online [Invited Lecture] Radio Environment Imaging: Ongoing Challenge and Future Perspective
Katsuya Suto (UEC) SR2021-48
It is essential for wireless communications to recognize radio propagation's spatial characteristics, including path los... [more] SR2021-48
p.46
AP 2021-10-07
14:25
Online Online [Poster Presentation] An Analysis of Anti-Eavesdropping Performance of Spatially-Selective Modulation using a Raytracing Channel Model
Hiroto Yonawa, Hisato Iwai, Shinsuke Ibi (Doshisha Univ.) AP2021-86
As a physical layer anti-eavesdropping technique, we have proposed spatially-selective modulation (SSM) which uses multi... [more] AP2021-86
pp.70-71
EA, ASJ-H 2021-08-20
16:00
Online Online Estimation of spatial auditory masking based on computational auditory models -- in case of band noise masker and pure-tone probe --
Shouichi Takane, Naomichi Tanaka, Koji Abe, Masayuki Nishiguchi, Kanji Watanabe (Akita Pref. Univ.) EA2021-25
The Spatial Auditory Masking (SAM) is the relation of binaural masking to sound source positions corresponding to masker... [more] EA2021-25
pp.27-32
AP, SANE, SAT
(Joint)
2021-07-28
10:50
Online Online Wave-number domain of synthetic aperture radar with antenna pattern and distance attenuation
Masanori Gocho (NICT) SANE2021-15
Synthetic Aperture Radar (SAR) can reconstruct two-dimensional spatial information by signal processing a series of rece... [more] SANE2021-15
pp.1-6
NS 2021-04-15
15:20
Online Online [Invited Talk] Scaling limits of interference fields in spatial stochastic models of ultra-dense wireless networks
Naoto Miyoshi (Tokyo Tech) NS2021-8
Recently, ultra-dense wireless networks have been attracting attention to cope with the increasing data volume in wirele... [more] NS2021-8
pp.43-46
EA, US, SP, SIP, IPSJ-SLP [detail] 2021-03-03
13:05
Online Online [Invited Talk] *
Masahito Togami (LINE) EA2020-64 SIP2020-95 SP2020-29
Recently, deep learning based speech source separation has been evolved rapidly. A neural network (NN) is usually learne... [more] EA2020-64 SIP2020-95 SP2020-29
pp.27-32
IT 2020-12-03
13:00
Online Online Approximate Message-Passing in Spatially Coupled Bilinear Inference Problems
Yudai Sano, Keigo Takeuchi (TUT) IT2020-52
This paper considers joint channel and data estimation in cell-free massive multiple-input multiple-output (MIMO)uplink.... [more] IT2020-52
pp.148-153
SR 2020-11-20
14:05
Online Online [Panel Discussion] Data-Driven Radio Propagation Estimation for Spectrum Sharing: Trends and Challenges
Koya Sato (TUS) SR2020-45
In the field of spectrum sharing, spectrum database has been recognized as a practical enabler for estimating and managi... [more] SR2020-45
pp.146-151
EA, ASJ-H 2020-08-07
14:30
Online Online An attempt of estimation of spatial auditory masking based on auditory models
Shouichi Takane, Koji Abe, Masayuki Nishiguchi, Kanji Watanabe (Akita Pref. Univ.) EA2020-17
The Spatial Auditory Masking is the relation of binaural masking to positions of sound sources corresponding to masker a... [more] EA2020-17
pp.23-27
SR 2020-06-04
14:00
Online Online Radio Propagation Extrapolation Based on Correction of Empirical CDF
Keita Katagiri, Takeo Fujii (UEC) SR2020-2
In this paper, we propose a radio propagation extrapolation method based on the correction of an empirical cumulative di... [more] SR2020-2
pp.9-16
SP, EA, SIP 2020-03-02
10:10
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
Multichannel NMF with Joint-Diagonalizable Constraint Based on Generalized Gaussian Distribution for Blind Source Separation
Keigo Kamo, Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT Kagawa), Hiroshi Saruwatari (UTokyo), Yu Takahashi, Kazunobu Kondo (Yamaha) EA2019-103 SIP2019-105 SP2019-52
Multichannel nonnegative matrix factorization (MNMF) is a blind source separation technique, which employs the full-rank... [more] EA2019-103 SIP2019-105 SP2019-52
pp.13-19
AP, WPT
(Joint)
2020-01-24
16:35
Kagawa Sunport Hall Takamatsu A study on Element Arrangement Optimization of Spatial Polarized Massive MIMO and the Effectiveness
Takahiro Matsumoto, Kiyoaki Itoi, Hiroaki Nakabayashi (CIT) AP2019-179
Currently, various studies of 5G have been studied for introduction in 2020. In 5G, massive MIMO technology has been stu... [more] AP2019-179
pp.159-164
EA 2019-12-13
13:25
Fukuoka Kyushu Inst. Tech. Rank-constrained spatial covariance matrix estimation based on multivariate complex generalized Gaussian distribution and its acceleration for blind speech extraction
Yuki Kubo, Norihiro Takamune (UTokyo), Daichi Kitamura (NIT, Kagawa), Hiroshi Saruwatari (UTokyo) EA2019-78
In this paper, we generalize a generative model in rank-constrained spatial covariance matrix estimation that separates ... [more] EA2019-78
pp.85-92
RISING
(2nd)
2019-11-26
10:30
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Prioritized Transmission of Mobile IoT Data Using Machine Learning Models
Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Oki Eiji (Kyoto Univ.)
Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solut... [more]
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Modeling of Utility Function for Real-time Prediction of Spatial Information Using Machine Learning
Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation)
Real-time prediction of spatial information has attracted a lot of attention. Machine learning enables us to provide rea... [more]
 Results 1 - 20 of 102  /  [Next]  
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