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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 74  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SIP, SP, EA, IPSJ-SLP [detail] 2024-03-01
09:30
Okinawa
(Primary: On-site, Secondary: Online)
SELECTING N-LOWEST SCORES FOR TRAINING MOS PREDICTION MODELS
Yuto Kondo, Hirokazu Kameoka, Kou Tanaka, Takuhiro Kaneko (NTT) EA2023-94 SIP2023-141 SP2023-76
Automatic speech quality assessment (SQA) is a task to evaluate the quality of speech samples without resorting to time-... [more] EA2023-94 SIP2023-141 SP2023-76
pp.196-201
CQ, CBE
(Joint)
2024-01-26
10:30
Kumamoto Kurokawa-Onsen
(Primary: On-site, Secondary: Online)
[Invited Talk] Localization and environmental monitoring based on graphs expressing spatial proximity relations.
Shino Shiraki (Tokyo Metropolitan Univ.), Shigeo Shioda (Chiba Univ.), Takahiro Matsuda (Tokyo Metropolitan Univ.) CQ2023-62
Integrating and analyzing the sensing data collected in the real world and using them to improve business efficiency and... [more] CQ2023-62
pp.56-61
NS, RCS
(Joint)
2023-12-15
09:50
Fukuoka Kyushu Institute of Technology Tobata campus, and Online
(Primary: On-site, Secondary: Online)
[Encouragement Talk] Analysis of Features Contributing to Early Detection of Failures in 5G Core Networks Using Machine Learning
Takeru Hakii (UTokyo), Takuya Miyasaka, Junichi Kawasaki, Daiki Koyama (KDDI Research, Inc.), Norihiro Fukumoto, Akirhiro Nakao (UTokyo) NS2023-141
CNF-based 5GC, a cloud-native implementation of network functions (NFs), is increasingly using machine learning for earl... [more] NS2023-141
pp.90-96
ET 2023-11-11
14:50
Kagawa Kagawa University Saiwai-cho (Main) Campus / Online
(Primary: On-site, Secondary: Online)
Uncertainty Estimation in Neural Automatic Scoring Applying Multitask Learning of Regression and Classification
Yuto Takahashi, Masaki Uto (UEC) ET2023-31
In writing tests, grading by humans can be expensive and is not always sufficiently accurate. To resolve this problem, a... [more] ET2023-31
pp.40-46
MIKA
(3rd)
2023-10-11
14:30
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] Feature Analysis of Water Level Data for Remote Control of Sluice Gates in the Onga River
Takahiro Ueno, Shintaro Mori, Makoto Misumi, Masayoshi Ohashi (Fukuoka Univ.)
We are developing a system to remotely control and monitor the sluice gates in the Onga River along the reaches of the O... [more]
IN, NS
(Joint)
2023-03-02
14:40
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Feature Selection Method for Predicting Network Failures on CNF 5GC Using Machine Learning with Low Layer Log Data
Takeru Hakii, Norihiro Fukumoto, Akihiro Nakao (UTokyo) NS2022-192
In complex networks, once a failure occurs, it takes a long time to identify and recover from the cause of the failure, ... [more] NS2022-192
pp.145-150
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:00
Hokkaido Hokkaido Univ. Advertisement Banner Layout Generation based on Evolutionary Computation
Soichiro Terasaka (UTokyo), Hiroyuki Seshime (Septeni Japan), Toshihiko Yamasaki (UTokyo) ITS2022-42 IE2022-59
Digital advertisements play an important role in today's websites and smartphone applications for the purpose of maintai... [more] ITS2022-42 IE2022-59
pp.5-10
OCS, OFT, OPE
(Joint) [detail]
2023-02-16
13:45
Okinawa kukuru-itomancity
(Primary: On-site, Secondary: Online)
Distributed Measurement of Indirect Crosstalk in 4-core Fiber Using Commercial OTDR for SMFs
Yuto Kobayashi, Ayumi Inoue, Takuji Nagashima, Tetsuya Hayashi (Sumitomo Electric Industries, Ltd.) OCS2022-71 OPE2022-95
We measured the longitudinal accumulation profiles of the XT, using the commercial single-channel OTDR. The experimental... [more] OCS2022-71 OPE2022-95
pp.5-9
IMQ 2022-12-16
15:55
Chiba Nishi-Chiba Campus, Chiba Univ. Improving Pedestrian Attribute Recognition with Spatial Attention and Attribute Correlation
Yichen Chen, Tetsuya Matsumoto (Nagoya Univ.), Yoshinori Takeuchi (Daido Univ.), Hiroaki Kudo (Nagoya Univ.) IMQ2022-18
In the field of video surveillance, pedestrian attribute recognition is a focus technical thema of study. To predict cer... [more] IMQ2022-18
pp.16-21
MBE, NC 2022-12-03
15:50
Osaka Osaka Electro-Communication University Relationship between Core Body Temperature Variability and Sleep Indices based on Time Series Analysis of Tympanic Temperature
Hiroaki Sakamoto, Yutaka Yoshida, Emi Yuda (Tohoku Univ.) MBE2022-28 NC2022-50
Abstract Core body temperature is known as an important vital sign in the medical field because it predicts heat stroke... [more] MBE2022-28 NC2022-50
pp.27-28
ET 2022-11-05
15:45
Online Online Estimation possibility for scores of essay and critical thinking disposition using the report texts
Minoru Nakayama (Tokyo Tech.), Masaki Uto (UEC), Satoru Kikuchi, Hiroh Yamamoto (Shinshu Univ.) ET2022-39
Sentences in 6 sets of student's essay and comments were analysed in order to determine a possibility of automated acori... [more] ET2022-39
pp.55-58
EMM, BioX, ISEC, SITE, ICSS, HWS, IPSJ-CSEC, IPSJ-SPT [detail] 2022-07-19
14:15
Online Online A Study for Predicting Correlation Power Analysis Results by Using High-SNR Plaintexts Selected Based on Linear Leakage Model
Masaki Himuro, Kengo Iokibe, Yoshitaka Toyota (Okayama Univ.) ISEC2022-10 SITE2022-14 BioX2022-35 HWS2022-10 ICSS2022-18 EMM2022-18
To reduce the number of traces for evaluating side-channel attack (SCA) resistance, some methods for performing correlat... [more] ISEC2022-10 SITE2022-14 BioX2022-35 HWS2022-10 ICSS2022-18 EMM2022-18
pp.18-22
EMM, EA, ASJ-H 2021-11-16
09:00
Online Online [Poster Presentation] Improvement of SNR in Nonlinear Distortion Correction for Sinusoidal Signals Using LSTM
Kento Ikeda, Takahiro Yoshida (Tokyo Univ. of Science) EA2021-50 EMM2021-77
In recent years, neural networks have been applied to time-series acoustic signal processing, but nevertheless acoustic ... [more] EA2021-50 EMM2021-77
pp.134-138
SP, WIT, IPSJ-SLP, ASJ-H [detail] 2021-10-19
15:10
Online Online A study on model training for DNN-HSMM-based speech synthesis using a large-scale speech corpus
Nobuyuki Nishizawa, Gen Hattori (KDDI Research) SP2021-34 WIT2021-27
In this study, an investigation into model training for DNN-HSMM-based speech synthesis using a large speech corpus coll... [more] SP2021-34 WIT2021-27
pp.52-57
SIS, ITE-BCT 2021-10-07
11:40
Online Online Wireless Channel Prediction with Gaussian Process
Yitu Wang (NTT), Takayuki Nakachi (former NTT), Takeru Inoue, Toru Mano, Kudo Riichi (NTT) SIS2021-12
With accurate knowledge of future Channel State Information (CSI), it becomes possible to better manipulate the wireless... [more] SIS2021-12
pp.11-16
SIS 2021-03-05
10:00
Online Online Prediction of Network Traffic through Gaussian Process
Yitu Wang, Takayuki Nakachi (NTT) SIS2020-54
With accurate network traffic prediction, future communication networks can realize self-management and enjoy intelligen... [more] SIS2020-54
pp.103-108
SP, EA, SIP 2020-03-03
09:00
Okinawa Okinawa Industry Support Center
(Cancelled but technical report was issued)
[Poster Presentation] Implementation of a high-accuracy method for automatic fluency scoring of spontaneous English utterances by Japanese learners
Ayano Yasukagawa, Shintaro Ando, Eisuke Konno, Zhenchao Lin, Yusuke Inoue, Daisuke Saito, Nobuaki Minematsu (UTokyo), Kazuya Saito (UCL) EA2019-134 SIP2019-136 SP2019-83
These days, many teachers claim importance of not native-likeness-based but intelligibility-based assessment of pronunci... [more] EA2019-134 SIP2019-136 SP2019-83
pp.189-194
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
VLD, DC, CPSY, RECONF, ICD, IE, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC
(Joint) [detail]
2019-11-14
14:15
Ehime Ehime Prefecture Gender Equality Center Neural Network-based Lifetime Prediction and Reliability Enhancement Techniques for 3D NAND Flash Memory
Masaki Abe, Ken Takeuchi (Chuo Univ.) ICD2019-30 IE2019-36
NAND flash memories have lifetime such as data-retention time and read cycles. This paper proposes neural network techni... [more] ICD2019-30 IE2019-36
pp.7-12
DC, SS 2019-10-24
16:25
Kumamoto Kumamoto Univ. Error correction method using convolutional code in PPM compression
Takumi Abe, Masato Kitakami (Chiba Univ.) SS2019-20 DC2019-48
PPM compression is one of the compression methods with the highest compression rate. At the time of the proposal, there ... [more] SS2019-20 DC2019-48
pp.43-46
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