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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 199  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
IN, CCS
(Joint)
2022-08-05
09:40
Hokkaido Hokkaido University(Centennial Hall)
(Primary: On-site, Secondary: Online)
Machine Learning-Based Network Traffic Prediction with Tunable Parameters
Kaito Kuriyama, Kohei Watabe (Nagaoka Univ. of Tech.) IN2022-20
Network evaluation has become increasingly important in recent years.
Network evaluation requires large amounts of traf... [more]
IN2022-20
pp.27-32
ITS 2022-07-15
14:15
Fukuoka Fukuoka Univ.
(Primary: On-site, Secondary: Online)
On the Influence of Drivers’ Reaction Delays on Safety Performances of Alert-type Driver Assistance Systems Based on Sensors/V2V Communications
Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2022-4
This paper describes the influence of drivers’ reaction delays on safety performances of alert-type driver assistance sy... [more] ITS2022-4
pp.15-20
CCS, NLP 2022-06-09
17:15
Osaka
(Primary: On-site, Secondary: Online)
Visualization of decisions from CNN models trained on OpenStreetMap images labeled based on traffic accident data
Kaito Arase, Zhijian Wu, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2022-10 CCS2022-10
The authors have recently conducted training of Convolutional Neural Networks (CNNs) on OpenStreetMap images each of whi... [more] NLP2022-10 CCS2022-10
pp.46-51
ITS, IEE-ITS 2022-03-11
16:10
Online Online On Accidents Reduction Effects of Sensor/V2V Communication Based Driver Assistance Systems and Autonomous Vehicles -- Relationship between Penetration Ratio and Safety Performance --
Masahiro Chiba, Takaaki Hasegawa (Saitama Univ.) ITS2021-73
This paper describes the accidents reduction effects of autonomous vehicles and alert type driver assistance system equi... [more] ITS2021-73
pp.54-59
CAS, CS 2022-03-04
10:05
Online Online Intelligent Signal Control Based on Deep Learning for an Ultradiscrete Traffic Flow Model in order for Reduction of Traffic Jams
Yuuki Aoki, Tatsuya Kai (Tokyo Univ. of Science) CAS2021-88 CS2021-90
This study develops a new signal control method based on deep learning for an ultradiscrete traffic flow model. Especial... [more] CAS2021-88 CS2021-90
pp.75-80
SAT, SANE
(Joint)
2022-02-24
09:40
Online Online Dynamic Scheduling for Updating Traffic Demand Prediction Model and Switching Resource Control in Satellite Communication System
Masaki Takahashi, Yuichi Kawamoto, Nei Kato (Tohoku Univ.) SAT2021-53
Recently, the movement to link satellite communication systems with 5G networks has been accelerated worldwide, which wi... [more] SAT2021-53
pp.1-6
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
16:45
Online Online About the first floor of the Mode-separated-multi-layered type roundabout -- Shared space for bicycles and pedestrians --
Zhao Kangbo, Hasegawa Takaaki (Saitama Univ.) ITS2021-37 IE2021-46
This paper focuses on the bicycles’ passing ways in the mode-separated-multi-layered roundabout proposed by the authors.... [more] ITS2021-37 IE2021-46
pp.73-77
SANE 2022-01-18
11:30
Tokyo ENRI
(Primary: On-site, Secondary: Online)
Improvements of Trajectory Estimation for Commercial Aircraft by using Gaussian Process Regression -- Modeling Calibrated Airspeed of Descending Aircraft in Terminal Airspace --
Daichi Toratani (MPAT, ENRI) SANE2021-86
Trajectory prediction technique for commercial aircraft is an important element of air traffic control. Since the trajec... [more] SANE2021-86
pp.19-24
SS, MSS 2022-01-12
11:35
Nagasaki Nagasakiken-Kensetsu-Sogo-Kaikan Bldg.
(Primary: On-site, Secondary: Online)
A Method for Mesoscopic Modeling Method of Large Volume Traffic Flow Applying Process Mining Techniques
Kenji Uehara, Kunihiko Hiraishi (JAIST) MSS2021-51 SS2021-38
With the improvement of computing power and the widespread use of sensor technologies such as cameras and GNSS, highly a... [more] MSS2021-51 SS2021-38
pp.112-117
MIKA
(3rd)
2021-10-29
10:30
Okinawa
(Primary: On-site, Secondary: Online)
[Poster Presentation] A study on congestion control scheme in wireless network for IoT systems
Yuto Mogi, Nobuhiko Itoh, Kenko Ota, Takefumi Hiraguri (NIT), Miki Yamamoto (Kansai Univ.), Hideaki Yoshino (NIT)
With the spread and development of the Internet of Things (IoT), congestion due to overload of IoT systems is expected t... [more]
IN, NS, CS, NV
(Joint)
2021-09-09
13:05
Online Online Service Chain Provisioning Considering Traffic Changing Effect of Virtualized Network Functions
Shintaro Ozaki, Takehiro Sato, Eiji Oki (Kyoto Univ.) NS2021-61
We present a service chain provisioning model that determines the resource allocation while considering traffic changes ... [more] NS2021-61
pp.24-29
IN, NS, CS, NV
(Joint)
2021-09-10
15:10
Online Online [Invited Talk] Performance Analysis Modeling on Success Prioritized DCF
Daisuke Umehara, Yamato Yoshikawa (Kyoto Inst. of Tech.) CS2021-50
Random access distributed coordination function (DCF) is widely used as a medium access control protocol. We have propos... [more] CS2021-50
pp.44-46
ITS, IEE-ITS, IPSJ-ITS 2021-09-07
13:30
Online Online Optimal Signal Control Based on Genetic Algorithm for an Ultradiscrete Traffic Flow Model in order for Reduction of Traffic Jams
Yuuki Aoki, Tatsuya Kai (Tokyo Univ. of Science) ITS2021-6
The purpose of this study is to reduce total number of traffic jams of an ultradiscrete traffic flow model by controllin... [more] ITS2021-6
pp.7-11
ITS, IEE-ITS 2021-03-15
15:05
Online Online Model Checking-Based Verification of Token-Based Traffic Control for Roundabouts
Tatsuhiro Tsuchiya (Osaka Univ.), Satoshi Otsuka (Hitachi) ITS2020-43
This paper reports the results of model checking-based verification of a traffic control mechanism for roundabouts. This... [more] ITS2020-43
pp.41-44
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
CAS, ICTSSL 2021-01-28
10:15
Online Online On a build of road sign detection method using Flux
Chang Jiahang, Kazuya Ozawa, Kaito Isogai, Hideaki Okazaki (Shonan Inst. Tech) CAS2020-40 ICTSSL2020-25
In this report ,we discuss how to build a neural network(NN) for recognizing traffic signs using Flux .First ,we briefly... [more] CAS2020-40 ICTSSL2020-25
pp.11-13
CQ, CBE
(Joint)
2021-01-20
16:05
Online Online [Invited Talk] A machine learning approach to data generation in networks
Kohei Watabe (Nagaoka Univ. of Tech.) CQ2020-71
When we evaluate communication networks and protocols/applications running on them, it is important to demonstrate their... [more] CQ2020-71
p.57
IA, IN
(Joint)
2020-12-15
11:40
Online Online Application Identification Method with Meta-Learning
Shun Tobiyama, Bo Hu, Kazunori Kamiya (NTT), Kenji Takahashi (NTT Ltd.) IN2020-40
With the continuous evolution of the Internet, a variety of web applications, such as video streaming, social network se... [more] IN2020-40
pp.43-48
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
RCS 2020-06-24
14:15
Online Online Performance Evaluation of Multiplexing Method of Multiple Service Channels to Maximize Integrated System Throughput under Finite Traffic Model
Shusei Inoue, Kenichi Higuchi (Tokyo Univ. of Science) RCS2020-26
The fifth generation mobile communication system and beyond are expected to support various wireless communication servi... [more] RCS2020-26
pp.19-24
 Results 1 - 20 of 199  /  [Next]  
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