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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 149 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
KBSE 2022-03-10
13:05
Online Online (Zoom) A Study of Learner Errors on State Machine Modeling \Based on Eye Information and Editing Logs
Takuma Kimura, Ogata Shinpei (Shinshu Univ.), Makihara Erina (Doshisha Univ.), Okano Kozo (Shinshu Univ.) KBSE2021-55
In state machine diagram education, learners sometimes make errors when solving modeling tasks. Educators should support... [more] KBSE2021-55
pp.84-89
SeMI 2022-01-20
15:20
Nagano
(Primary: On-site, Secondary: Online)
[Short Paper] A Study of Beamforming Feedback-based Model-driven Angle of Departure Estimation
Sohei Itahara (Kyoto Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.) SeMI2021-68
This paper introduces the angle of departure (AoD) estimation method [1] using the multiple signal classification (MUSIC... [more] SeMI2021-68
pp.59-61
RCS, SIP, IT 2022-01-21
09:50
Online Online Bayesian Holevo and Nagaoka-Hayashi bounds for quantum-state estimation
Jun Suzuki (UEC) IT2021-69 SIP2021-77 RCS2021-237
In this work we propose a Bayesian version of the Nagaoka-Hayashi bound when estimating multiple parameters for quantum ... [more] IT2021-69 SIP2021-77 RCS2021-237
pp.231-236
RCS, SIP, IT 2022-01-21
10:15
Online Online Maximum logarithmic derivative bound on quantum state estimation as a dual of the Holevo bound
Koichi Yamagata (UEC) IT2021-70 SIP2021-78 RCS2021-238
In quantum estimation theory, the Holevo bound is known as a lower bound of weighed traces of covariances of unbiased es... [more] IT2021-70 SIP2021-78 RCS2021-238
pp.237-238
PRMU 2021-12-17
15:00
Online Online Adaptive Information Presentation Based on Person State Recognition
Sota Morita, Shinya Fukumoto, Masayuki Kashima, Mutsumi Watanabe (Kagoshima Univ.) PRMU2021-57
We propose an adaptive information presentation system based on person state recognition. The system uses posture estima... [more] PRMU2021-57
pp.182-187
QIT
(2nd)
2021-11-30
11:50
Online Online Maximum logarithmic derivative bound on quantum state estimation as a dual of the Holevo bound
Koichi Yamagata (UEC)
In quantum estimation theory, the Holevo bound is known as a lower bound of weighed traces of covariances of unbiased es... [more]
SRW, SeMI, CNR
(Joint)
2021-11-26
15:00
Tokyo Kikai-Shinko-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
[Poster Presentation] Frame-Capture-Based CSI Recomposition Pertaining to Firmware-Agnostic WiFi Sensing
Ryosuke Hanahara, Sohei Itahara, Kota Yamashita (Kyoto Univ.), Yusuke Koda (Univ. Oulu), Akihito Taya (Kyoto Univ./Aoyama Gakuin Univ.), Takayuki Nishio (Kyoto Univ./Tokyo Tech.), Koji Yamamoto (Kyoto Univ.) SRW2021-48 SeMI2021-47 CNR2021-22
This paper presents an estimation method of channel state information (CSI) matrices using corresponding beamforming fee... [more] SRW2021-48 SeMI2021-47 CNR2021-22
pp.71-73(SRW), pp.58-60(SeMI), pp.48-50(CNR)
SIP, CAS, VLD, MSS 2021-07-06
12:05
Online Online Sensor Scheduling-Based Detection of False Data Injection Attacks in Power System State Estimation
Sho Obata, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) CAS2021-14 VLD2021-14 SIP2021-24 MSS2021-14
In state estimation of steady-state power networks, a cyber attack that cannot be detected from the residual (i.e., the ... [more] CAS2021-14 VLD2021-14 SIP2021-24 MSS2021-14
pp.70-74
SeMI, IPSJ-MBL, IPSJ-DPS, IPSJ-ITS 2021-05-28
11:50
Online Online Estimation of moving in stairs by partial introduction of training data for supporting indoor PDR
Chisaki Takahashi, Hiroaki Morino (SIT) SeMI2021-9
Research focusing on PDR (Pedestrian Dead Reckoning) is being conducted as it would be useful to support rescue activiti... [more] SeMI2021-9
pp.45-50
MSS, SS 2021-01-27
13:25
Online Online Distributed State Estimation for Linear Singular Systems and Its Application to Sensor Networks
Kei Isono, Koichi Kobayashi, Yuh Yamashita (Hokkaido Univ.) MSS2020-37 SS2020-22
The sensor attack detection problem is one of the important problems in cybersecurity and control theory. An attack to a... [more] MSS2020-37 SS2020-22
pp.49-53
QIT
(2nd)
2020-12-10
10:10
Online Online Security of continuous variable quantum key distribution with digital signal processing
Takaya Matsuura, Kento Maeda, Toshihiko Sasaki, Masato Koashi (U-Tokyo)
Continuous-variable (CV) quantum key distribution (QKD) uses homodyne/heterodyne measurement, which is technologically m... [more]
MSS, CAS, IPSJ-AL [detail] 2020-11-26
11:10
Online Online Estimating Internal Organ States Based on Traditional Chinese Medicine Interviews and Results
Ken Tanaka, Quan Gan (Yamaguchi Univ.), Ren Wu (Yamaguchi Junior College), Mitsuru Nakata, Qi-Wei Ge (Yamaguchi Univ.) CAS2020-27 MSS2020-19
The examinations in traditional Chinese Medicine are Four Medical Examinations, which are the main diagnostic methods an... [more] CAS2020-27 MSS2020-19
pp.44-49
CS 2020-11-06
14:45
Online Online + Central Community Center, Nonoichi Community Center
(Primary: Online, Secondary: On-site)
[Invited Lecture] A self-learning traffic analysis method for self-driving private mobile networks
Anan Sawabe (NEC/UTokyo), Takanori Iwai (NEC), Akihiro Nakao (UTokyo) CS2020-63
Recent wide-spreading IoT use cases lead IoT vertical players without wireless network expertise to utilize high perform... [more] CS2020-63
pp.81-82
SeMI 2020-01-30
15:25
Kagawa   A Proposal of People Counting by Using Wi-Fi Channel State Information of Mobile Devices
Masahide Mizutani, Akira Uchiyama (Osaka Univ.), Tomoki Murakami, Hirantha Abeysekera (NTT), Teruo Higashino (Osaka Univ.) SeMI2019-102
People's distribution in public areas is useful for various services. Wi-Fi Channel State Information (CSI) has attracte... [more] SeMI2019-102
pp.17-22
QIT
(2nd)
2019-11-18
13:50
Tokyo Gakushuin University [Poster Presentation] Experimental quantum kernel machine learning with solid state NMR
Takeru Kusumoto, Kosuke Mitarai, Makoto Negoro, Keisuke Fujii, Masahiro Kitagawa (Osaka Univ.)
We employ so-called quantum kernel estimation to exploit complex quantum dynamics of solid-state NMR for machine learnin... [more]
MIKA
(2nd)
2019-10-03
14:05
Hokkaido Hokkaido Univ. [Invited Lecture] Traffic Analysis Empowered by Machine Learning for Estimating Context of IoT Application
Anan Sawabe, Takanori Iwai (NEC)
We have observed the emergence of various Internet of Things (IoT) use cases, such as remote robot control, over the las... [more]
PRMU, IPSJ-CVIM 2019-05-30
11:20
Tokyo   Daily Fish Catch Forecasting For Fixed Shore Net Fishing Using State Space Model Describing Probabilistic Behavior of Fish Inside Net
Yuya Kokaki, Naohiro Tawara, Tetsunori Kobayashi, Kazuo Hashimoto (Waseda Univ.), Masayoshi Hukushima, Akira Idoue (KDDI Research), Ogawa Tetsuji (Waseda Univ.) PRMU2019-3
A state space model that incorporates knowledge on fixed shore net fishing was developed and suc- cessfully applied to d... [more] PRMU2019-3
pp.13-18
SIP, MI, IE 2019-05-24
14:50
Aichi   Fetal state estimation based on Cardiotocogram classification
Shota Harada, Hideaki Hayashi (Kyushu Univ.), Shunsuke Koga (Kyushu Medical Center), Daisuke Shigemi (Obex), Aayako Shibata (Yodogawa Christian Hospital), Masayoshi Yoshida (Hakataminami building Naika Clinic), Yasuyuki Hasuo (Kyushu Medical Center), Seiichi Uchida (Kyushu Univ.) SIP2019-14 IE2019-14 MI2019-14
Cardiotocogram (CTG) is a recording of fetal heart rate and uterine contraction pressure over time, and is used clinical... [more] SIP2019-14 IE2019-14 MI2019-14
pp.61-63
QIT
(2nd)
2019-05-20
13:20
Fukuoka Kyushu University, Chikushi Campus [Poster Presentation] Experimental demonstration of adaptive quantum state estimation for dynamic quantum states
Saki Nohara, Ryo Okamoto (Kyoto Univ.), Akio Fujiwara (Osaka Univ.), Shigeki Takeuchi (Kyoto Univ.)
For the development of quantum information technology, it is essential to provide a method to efficiently estimate the q... [more]
QIT
(2nd)
2019-05-20
13:20
Fukuoka Kyushu University, Chikushi Campus [Poster Presentation] Maximum Likelihood Estimation of Quantum State Using Augmented Lagrangian Method on Positive Semi-definite Cone
Shunsuke Fujisawa (UTokyo), Youhei Okawa (TTI), Susumu Fukatsu (UTokyo)
Quantum state tomography (QST) of discrete variable can be interpreted as the optimization problem of likelihood functio... [more]
 Results 21 - 40 of 149 [Previous]  /  [Next]  
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