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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 21 - 40 of 343 [Previous]  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
NS 2023-04-13
13:40
Fukushima Nihon University, Koriyama Campus + Online
(Primary: On-site, Secondary: Online)
Vehicle Traffic Density Estimation for Predicting Communication Traffic Volume by Vehicle Communication Service
Yoshie Morita, Kengo Tajiri, Yoichi Matsuo (NTT) NS2023-3
Vehicle communication services are new services using the mobile communication network. Since these services are expecte... [more] NS2023-3
pp.13-18
ICM 2023-03-16
09:50
Okinawa Okinawa Prefectural Museum and Art Museum
(Primary: On-site, Secondary: Online)
Analyzing Time-series Characteristics of IoT Traffic Using Two-stage Clustering
Mizuki Asano, Takumi Miyoshi, Taku Yamazaki (Shibaura Inst. of Tech.) ICM2022-46
In recent years, Internet of things (IoT) has been getting more popular in the world, and many kinds of IoT devices are ... [more] ICM2022-46
pp.13-18
ICSS, IPSJ-SPT 2023-03-14
10:50
Okinawa Okinawaken Seinenkaikan
(Primary: On-site, Secondary: Online)
Discussion about Privacy-aware Anonymization of Traffic Logs for Malicious Activity Detection
Takeshi Ogawa (Nagoya Univ.), Hirokazu Hasegawa (NII), Yukiko Yamaguchi, Hajime Shimada (Nagoya Univ.) ICSS2022-74
The detection of malicious communications from traffic logs has an aspect of invading the privacy because of monitoring ... [more] ICSS2022-74
pp.157-162
IN, NS
(Joint)
2023-03-03
11:40
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Real-time application identification method for mobile networks using machine learning
Tatsuhiro Ou, Akihiro Nakao (Tokyo Univ.) NS2022-232
With the diversification of mobile applications, the implementation of priority control that meets the communication requ... [more] NS2022-232
pp.372-377
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-21
10:30
Hokkaido Hokkaido Univ. A Note on Traffic Sign Recognition Based on Vision Transformer Adapter Using Visual Feature Matching
Yaozong Gan, Guang Li, Ren Togo, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
Traffic sign recognition is a real-world task that involves many constraints and complications. Traffic sign recognition... [more]
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2023-02-22
14:40
Hokkaido Hokkaido Univ. Simulation-based studies of traffic flow and crash related phenomena under the COVID-19 pandemic -- Including time-varying traffic demands --
Akira Kasahara, Takaaki Hasegawa (Saitama Univ.) ITS2022-73 IE2022-90
This paper compares the worldwide various traffic accident data affected in the COVID-19 pandemic period with our simula... [more] ITS2022-73 IE2022-90
pp.173-178
EST 2023-01-27
09:30
Okinawa
(Primary: On-site, Secondary: Online)
Traffic volume survey system installed on utility poles using piezo sensor -- Vehicle Passage Detection Technology --
Keisuke Kako, Akihiro Tsuno, Ichiru Miyahashi, Hideaki Kimura (Chubu Univ.) EST2022-89
Conventionally, traffic volume surveys conducted by the Ministry of Land, Infrastructure, Transport and Tourism (MLIT) a... [more] EST2022-89
pp.78-83
SANE 2023-01-20
15:25
Tokyo
(Primary: On-site, Secondary: Online)
[Special Talk] Provision of air traffic data and efforts to promote its use
Megumi Oka, Yoichi Nakamura, Yutaka Fukuda (ENRI), Takeshi Narioka (NTT DATA) SANE2022-98
A long-term vision (CARATS: Collaborative Action for Renovation of Air Traffic System) has been established to ensure a ... [more] SANE2022-98
p.51
RCC, ITS, WBS 2022-12-14
11:05
Shiga Ritsumeikan Univ. BKC
(Primary: On-site, Secondary: Online)
Vehicle Route Detection Network Using Continuous Roadside Units
Gunhee Cho, Tao Yu, Jin Nakazato, Kei Sakaguchi (TokyoTech) WBS2022-55 ITS2022-31 RCC2022-55
For the purpose of establishing a digital twin society, this paper proposes an object recognition network architecture u... [more] WBS2022-55 ITS2022-31 RCC2022-55
pp.114-119
RISING
(3rd)
2022-10-31
13:00
Kyoto Kyoto Terrsa (Day 1), and Online (Day 2, 3) [Poster Presentation] Network Anomaly Detection Method Based on Communication Volume Changes in Edge Switches
Yuya Nakanishi, Shingo Ata (Osaka City Univ.)
Early detection of failures and anomalies that occur in the network and prompt recovery processing are essential for sta... [more]
AP 2022-10-19
09:30
Gifu GIFU CITY CULTURE CENTER
(Primary: On-site, Secondary: Online)
[Poster Presentation] Study on Identification Accuracy of Multiple Targets in Traffic Monitoring Using Millimeter-wave FM-CW Radar
Kazuho Suzuki, Hiroyoshi Yamada (Niigata Univ.) AP2022-109
Recently, millimeter-wave radar-based traffic monitoring systems have been attracting attention, and research on target ... [more] AP2022-109
pp.70-75
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
ICM 2022-07-08
10:55
Hokkaido Tokachi Plaza
(Primary: On-site, Secondary: Online)
Data Contamination Determination Methods in Topology Estimation Technology Using Traffic Data
Mizuto Nakamura, Yusuke Makino, Atsushi Takada, Kyoko Yamagoe (NTT) ICM2022-19
Telecommunication carriers operate their networks. When a failure occurs, they use the network configuration information... [more] ICM2022-19
pp.48-53
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
MSS, NLP 2022-03-28
09:40
Online Online Prediction of Traffic Accidents using Formal Concept Analysis with Actual Data
Shogo Kotani, Yuta Asanuma, Masaki Nakamura, Kazutoshi Sakakibara, Tatsuro Motoyoshi, Keisuke Hoshikawa (Toyama Pref. Univ.) MSS2021-56 NLP2021-127
The purpose of this study is for preventing future traffic accidents by past ones to analyze traffic accident data based... [more] MSS2021-56 NLP2021-127
pp.7-12
AI, JSAI-SAI, JSAI-KBS, JSAI-DOCMAS, IPSJ-ICS
(Joint)
2022-03-12
09:45
Hokkaido WSSIT2022
(Primary: On-site, Secondary: Online)
Analysis of Traffic Accident Factors Using Geospatial Data
Keisuke Ando, Yusuke Kuniyoshi, Kazuhiko Shimizu, Nobuhiro Ito (AIT), Kazunori Iwata (AU), Takeshi Uchitane (AIT), Naoto Mukai (SJU), Yong Jiang (AU) AI2021-29
Aichi Prefecture has one of the most traffic accidents in Japanese prefectures. In this study, we found the significant ... [more] AI2021-29
pp.19-24
ITS, IEE-ITS 2022-03-11
10:00
Online Online A Bicycle Mounted Warning System for Preventing Rear-End Collisions and Entrapment Accidents using OpenCV-based AI Camera
Sakiho Horibe, Masayuki Iwai (Tokyo Denki Univ.) ITS2021-64
Recently, due to the expansion of the take-out delivery business caused by the new coronavirus (COVID-19), the number of... [more] ITS2021-64
pp.7-12
IE, ITS, ITE-AIT, ITE-ME, ITE-MMS [detail] 2022-02-21
17:15
Online Online A simulation-based study of traffic flow and crash related phenomena under the COVID-19 pandemic -- Existence of the important peak --
Akira Kasahara, Takaaki Hasegawa, Ikkei Hasebe (Saitama Univ.) ITS2021-39 IE2021-48
This paper summarizes the data on change in traffic volume and traffic accidents due to the COVID-19 pandemic and compar... [more] ITS2021-39 IE2021-48
pp.84-90
SANE 2022-01-18
10:00
Tokyo ENRI
(Primary: On-site, Secondary: Online)
A Feasibility Study on Spaceport Development in Japan using CARATS Open Data
Makoto Tanaka, Yoshifumi Hagihara (Tokai Univ.) SANE2021-83
Research on supersonic airliners being developed by JAXA and reusable rockets, which are also designed for space tourism... [more] SANE2021-83
pp.1-6
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
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