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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 25  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
CS 2023-07-27
11:09
Tokyo Hachijo-machi Chamber of Commerce and Industry Implementation of the interworking function between MQTT and DDS for IoT DEP and its evaluation
Kazuhiro Kosaka, Masaki Mitsushi, Jotoku Taiga, Tetsuya Tokotani, Koichi Ishibashi (KIT) CS2023-31
IoT services are currently being introduced in various fields. The IoT Data Exchange Platform (IoT DEP) has been standar... [more] CS2023-31
pp.51-52
CS 2023-07-28
09:00
Tokyo Hachijo-machi Chamber of Commerce and Industry CS2023-48 IoT services have been deployed in various areas. In these IoT services, several requirements in the quality of service ... [more] CS2023-48
pp.109-114
SeMI, RCS, RCC, NS, SR
(Joint)
2023-07-12
15:50
Osaka Osaka University Nakanoshima Center + Online
(Primary: On-site, Secondary: Online)
[Invited Talk] Neural computing in wireless IoT network
Naoki Wakamiya (Osaka Univ.) RCC2023-15 NS2023-33 RCS2023-85 SR2023-32 SeMI2023-26
Collection, management, and processing data at the edge of an IoT system is effective in distribution of communication a... [more] RCC2023-15 NS2023-33 RCS2023-85 SR2023-32 SeMI2023-26
p.8(RCC), p.8(NS), p.32(RCS), p.32(SR), p.26(SeMI)
SeMI, RCS, RCC, NS, SR
(Joint)
2023-07-14
10:45
Osaka Osaka University Nakanoshima Center + Online
(Primary: On-site, Secondary: Online)
[Invited Lecture] Energy-Efficient Collections of Informative Data from Wireless IoT Networks
Hiroyuki Yomo (Kansai Univ.) RCC2023-20 NS2023-44 RCS2023-95 SR2023-43 SeMI2023-36
In this talk, we discuss how to efficiently collect informative data for users of IoT sensor networks. We first investig... [more] RCC2023-20 NS2023-44 RCS2023-95 SR2023-43 SeMI2023-36
p.26(RCC), p.62(NS), p.82(RCS), p.69(SR), p.67(SeMI)
IA, ICSS 2023-06-20
14:55
Saga Saga Univ.
(Primary: On-site, Secondary: Online)
Development and evaluation of an underwater environmental condition observation network system utilizing underwater drones
Kenshin Iwaki, Hiroshi Yamamoto (Ritsumeikan) IA2023-4 ICSS2023-4
In recent years, the underwater environment of Lake Biwa has been experiencing prolonged hypoxic conditions during the s... [more] IA2023-4 ICSS2023-4
pp.19-24
IN, NS
(Joint)
2023-03-02
13:10
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Review of an Autonomous Mobile Temperature Distribution Visualization Robot for Data Centers
Soichiro Honzawa, Naoto Hoshikawa (NIT, Oyama College), Tomoyuki Nissato (CATV), Atsushi Shiraki, Tomoyoshi Shimobaba, Tomoyoshi Ito (Chiba Univ.) NS2022-188
The demand for data centers, which are essential for modern society's dependence on cloud services, is increasing year b... [more] NS2022-188
pp.123-128
IN, NS
(Joint)
2023-03-03
12:00
Okinawa Okinawa Convention Centre + Online
(Primary: On-site, Secondary: Online)
Proposal of Applying Blockchain Technology to IoT Data Distribution Method
Hayato Kumazaki, Takafumi Taya, Eishin Nagaoka, Osamu Mizuno (Kogakuin Univ.) IN2022-110
We have proposed Ticket-based Access Control, an access control system with a token called a ticket and Tag ID, which is... [more] IN2022-110
pp.265-270
EMM 2023-03-03
10:00
Nagasaki Fukue culture hall
(Primary: On-site, Secondary: Online)
System to Prevent Distribution of Art Forgeries Using IOTA
Yusuke Abe, Kitahiro Kaneda, Keiichi Iwamura (TUS) EMM2022-90
The global art market is a large industry, worth $65 billion annually. However, art forgeries are frequently circulated.... [more] EMM2022-90
pp.122-127
NS 2022-10-05
13:25
Hokkaido Hokkaidou University + Online
(Primary: On-site, Secondary: Online)
Development of Autonomous Mobile Robot to Visualize Temperature Distribution for Power Saving in Data Centers
Soichiro Honzawa, Naoto Hoshikawa (NIT, Oyama College), Tomoyuki Nissato (CATV), Atsushi Shiraki, Tomoyoshi Ito, Tomoyoshi Shimobaba (Chiba Univ.) NS2022-80
Establishing a scheme to detect temperature anomalies in data centers is very important because it can reduce power cons... [more] NS2022-80
p.5
SeMI 2022-01-20
14:00
Nagano
(Primary: On-site, Secondary: Online)
[Short Paper] Node Relocation Algorithm for Aquatic Fronthaul in 6G Mobile Communications
Ayano Higuchi, Erina Takeshita (Tokyo Univ. of Agriculture and Tech.), Daisuke Hisano, Yoshiaki Inoue (Osaka Univ.), Kazuki Maruta, Yuko Hara-Azumi (Tokyo Institute of Tech.), Yu Nakayama (Tokyo Univ. of Agriculture and Tech.) SeMI2021-55
Underwater-terrestrial communication is one of the significant challenges for the beyond 5G mobile communications. This ... [more] SeMI2021-55
pp.16-18
IN, IA
(Joint)
2021-12-16
17:05
Hiroshima Higashi-Senda campus, Hiroshima Univ.
(Primary: On-site, Secondary: Online)
Evaluation of Processing Delay of Authentication and Authorization Infrastructure for IoT Data Distribution System Using Ticket-based Access Control
Masaki Yoshii, Ryohei Banno, Osamu Mizuno (Kogakuin Univ.) IA2021-39
We have proposed a new service model based on IoT data distribution using fog computing. It is expected that fog nodes i... [more] IA2021-39
pp.44-49
RISING
(3rd)
2021-11-16
09:30
Tokyo
(Primary: On-site, Secondary: Online)
On Attack Pattern Classification in IoT Networks for Network Intrusion Detection Systems
Jesse Atuhurra, Takanori Hara (NAIST), Yuanyu Zhang (Xidian Univ.), Shoji Kasahara (NAIST)
With the proliferation of IoT devices, IoT security problems arise. To protect heterogeneous connected devices in IoT ne... [more]
SITE, IA, IPSJ-IOT [detail] 2021-03-02
09:30
Online Online Evaluation of Processing Delay Time in IoT Data Distribution Method Appling Table-based Access Control List
Masaki Yoshii, Ryohei Banno, Osamu Mizuno (Kogakuin Univ.) SITE2020-46 IA2020-42
Fog Computing, in which a fog node that performs pre-processing such as machine learning and data cleansing is placed be... [more] SITE2020-46 IA2020-42
pp.46-51
CS, CAS 2020-02-27
15:20
Kumamoto   IoT devices management for outdoor wireless sensor networks
Kazuki Shigemori, Kazuma Asou, Wataru Maruyama, Hiroaki Mukai, Tesuya Yokotani (KIT) CAS2019-109 CS2019-109
In recent years, deployment of IoT technology is expected in various fields such as environmental monitoring, disaster p... [more] CAS2019-109 CS2019-109
pp.67-72
MIKA
(2nd)
2019-10-04
10:15
Hokkaido Hokkaido Univ. [Poster Presentation] Estimating of congestion level in wireless network using the result of network scan
Kenta Suzuki, Takuya Kurihara, Kazuto Yano, Yoshinori Suzuki (ATR)
As a part of countermeasure against cyber attacks targeting vulnerabilities of IoT devices without enough security level... [more]
IE, EMM, LOIS, IEE-CMN, ITE-ME, IPSJ-AVM [detail] 2019-09-19
14:45
Niigata Tokimeito, Niigata University A study on the optimal acquisition interval for sample and hold signals
Ryouichi Nishimura (NICT) LOIS2019-10 IE2019-23 EMM2019-67
Micro Electro Mechanical Systems (MEMS) sensors are promising for IoT applications because they are small and available ... [more] LOIS2019-10 IE2019-23 EMM2019-67
pp.19-24
CQ 2019-08-27
09:50
Hokkaido Hakodate arena An Approximation of Average Latency for Constant Number Data Aggregation and Adaptive Control Based on Its Characteristics
Hideaki Yoshino, Yuta Okuzawa, Ryunosuke Sugihara, Kenko Ota, Takefumi Hiraguri (NIT) CQ2019-58
To realize latency-critical IoT applications, latency should be minimized at IoT gateways that aggregate spatially distr... [more] CQ2019-58
pp.7-12
CPSY, DC, IPSJ-SLDM, IPSJ-EMB, IPSJ-ARC [detail] 2019-03-17
17:05
Kagoshima Nishinoomote City Hall (Tanega-shima) An Update-Range-Aware Source Deduplication Method with Low-Resource and High-Efficiency for Geo-Distributed Data Analysis
Shun Gokita, Kento Ikkaku, Makoto Kubota, Noriyuki Fukuyama (Fujitsu Lab.) CPSY2018-108 DC2018-90
In recent years, business efficiency and service quality improvement are expected by analyzing and utilizing the large a... [more] CPSY2018-108 DC2018-90
pp.181-186
CQ, ICM, NS, NV
(Joint)
2018-11-15
11:20
Ishikawa   Characteristic Evaluation of Adaptive Control of Sensor Data Aggregation to Minimize Latency
Hideaki Yoshino, Kenko Ota, Takefumi Hiraguri (NIT) CQ2018-68
In Internet of Things (IoT) systems utilizing a large amount of small-sized data, a data aggregation function, which hie... [more] CQ2018-68
pp.27-32
CQ 2018-08-24
11:05
Shiga Ritsumeikan Univ. Biwako-Kusatsu Campus (BKC) System Time Characteristics and Optimal Aggregation Number of Non-statistical Data Aggregation Scheme
Hideaki Yoshino, Kenko Ota, Takefumi Hiraguri (NIT) CQ2018-55
In IoT systems utilizing a large amount of small-sized sensor data, a data aggregation function, which summarizes spatia... [more] CQ2018-55
pp.53-58
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