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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 139  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SRW, SeMI, CNR
(Joint)
2020-11-27
09:20
Online Online Bandwidth allocation for multiple LIDAR sensors based on spatial importance of point-cloud data
Ryo Otsu, Ryoichi Shinkuma, Takehiro sato, Eiji Oki (KU) SeMI2020-36
This paper addresses the bandwidth allocation to multiple Light Detection and Ranging (LIDAR) sensors in smart monitorin... [more] SeMI2020-36
pp.82-87
SRW, SeMI, CNR
(Joint)
2020-11-27
09:40
Online Online Estimation of spatial importance of 3D sensor data for real-time smart monitoring using machine learning
Masamichi Oka, Ryoichi Shinkuma, Eiji Oki, Takehiro Sato (Kyoto Univ.), Takanori Iwai, Koichi Nihei, Takahashi Eiji, Dai Kanetomo, Kozo Satoda (NEC) SeMI2020-37
 [more] SeMI2020-37
pp.88-93
MWP, PN, EMT, PEM, IEE-EMT [detail] 2020-01-31
11:45
Kyoto Dosisha Univ. Performance of routing and spectrum slot allocation model for multipath provisioning in elastic optical networks
Kenta Takeda, Takehiro Sato, Ryoichi Shinkuma, Eiji Oki (Kyoto Univ.) PN2019-50 EMT2019-90 MWP2019-64
Multipath provisioning (MPP) uses multiple disjoint paths for data transmission to tolerate network failures. This paper... [more] PN2019-50 EMT2019-90 MWP2019-64
pp.97-102
NS, RCS
(Joint)
2019-12-20
13:30
Tokushima Tokushima Univ. [Encouragement Talk] Service chain provisioning model with relaxation of virtual network function visit order and non-loop constraints
Naoki Hyodo, Takehiro Sato, Ryoichi Shinkuma, Eiji Oki (Kyoto Univ.) NS2019-158
This paper presents a Virtual Network Function (VNF) placement model for Service Chaining (SC) which minimizes the cost ... [more] NS2019-158
pp.127-132
RISING
(2nd)
2019-11-26
10:30
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Prioritized Transmission of Mobile IoT Data Using Machine Learning Models
Yuichi Inagaki, Ryoichi Shinkuma, Takehiro Sato, Oki Eiji (Kyoto Univ.)
Predicting real-time spatial information from data collected by the mobile Internet of Things (IoT) devices is one solut... [more]
RISING
(2nd)
2019-11-27
13:55
Tokyo Fukutake Learning Theater, Hongo Campus, Univ. Tokyo [Poster Presentation] Modeling of Utility Function for Real-time Prediction of Spatial Information Using Machine Learning
Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation)
Real-time prediction of spatial information has attracted a lot of attention. Machine learning enables us to provide rea... [more]
SRW, SeMI, CNR
(Joint)
2019-11-05
15:20
Tokyo Kozo Keisaku Engineering Inc. [Invited Talk] Mobile IoT: Past and Future
Ryoichi Shinkuma (Kyoto Univ.) SRW2019-26 SeMI2019-73 CNR2019-20
 [more] SRW2019-26 SeMI2019-73 CNR2019-20
pp.21-26(SRW), pp.59-64(SeMI), pp.21-26(CNR)
NS, IN, CS, NV
(Joint)
2019-09-05
15:25
Miyagi Research Institute of Electrical Communication, Tohoku Univ. [Invited Talk] Cooperation and data assessment in heterogeneous networks toward IoT era
Ryoichi Shinkuma (Kyoto Univ.) NS2019-90
In conventional networks, since communication devices were homogeneous and a central entity operated the networks, they ... [more] NS2019-90
pp.7-12
RCS, SAT
(Joint)
2019-08-23
11:45
Aichi Nagoya University Wireless Network Control Enabled by Data Assessment Using Machine Learning
Ryoichi Shinkuma, Takayuki Nishio (Kyoto Univ.) RCS2019-166
The real-time prediction of spatial information is promising for next-generation mobile networks. Recent developments in... [more] RCS2019-166
pp.109-112
SeMI, RCS, NS, SR, RCC
(Joint)
2019-07-10
13:50
Osaka I-Site Nanba(Osaka) [Encouragement Talk] Utility-function modeling scheme for real-time prediction of spatial information
Keiichiro Sato, Ryoichi Shinkuma, takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) SeMI2019-21
Real-time prediction of spatial information has attracted a lot of attention.However, due to the strict limitation of ba... [more] SeMI2019-21
pp.19-22
RCS, IN, NV
(Joint)
2019-05-17
13:20
Kanagawa Keio University [Invited Lecture] Cooperation in heterogeneous networks and future vision
Ryoichi Shinkuma (Kyoto Univ.) IN2019-11 RCS2019-34
 [more] IN2019-11 RCS2019-34
pp.43-47(IN), pp.65-69(RCS)
PN 2019-03-15
15:00
Okinawa Miyako Island Hirara Port Terminal Bldg. Fault-Tolerant Multipath Provisioning Scheme to Minimize Required Spectrum Resource in Elastic Optical Networks
Kenta Takeda, Takehiro Sato, Ryoichi Shinkuma, Eiji Oki (Kyoto Univ.) PN2018-96
This paper proposes a multipath provisioning scheme for fault tolerance to minimize required spectrum resource in EON. [more] PN2018-96
pp.77-83
ASN, MoNA, IPSJ-MBL, IPSJ-UBI [detail] 2019-03-05
09:40
Tokyo The University of Tokyo, Komaba Campus Reward-based Allocation for Mobile Crowdsensing in Real-time Prediction of Spatial Information
Rieko Takagi, Yuichi Inagaki, Ryoichi Shinkuma (Kyoto Univ.), Fatos Xhafa (UPC), Takehiro Sato, Eji Oki (Kyoto Univ.) MoNA2018-72
Real-time prediction of spatial information has attracted a lot of attention as a potential solution to social problems ... [more] MoNA2018-72
pp.53-58
MoNA 2019-01-16
15:20
Kyoto T. B. D. [Invited Lecture] A survey of research using machine learning presented at Globecom2018
Yoshinobu Yamada, Ryoichi Shinkuma (Kyoto Univ.) MoNA2018-65
(To be available after the conference date) [more] MoNA2018-65
pp.45-50
MoNA 2019-01-17
09:40
Kyoto T. B. D. Modeling of Utility Function for Real-time Prediction of Spatiotemporal Information
Keiichiro Sato, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.), Takahiro Iwai, Takeo Onishi, Takahiro Nobukiyo, Dai Kanetomo, Kozo satoda (System platform Research Labs, NEC Corporation) MoNA2018-66
In recent years, real-time prediction of spatiotemporal information has attracted a lot of attention. It is
expected th... [more]
MoNA2018-66
pp.51-55
MoNA 2019-01-17
10:05
Kyoto T. B. D. Study on Extraction of Important Data Based on Feature Selection Ensemble for Real-time Predictive Information Delivery
Takumi Sakai, Ryoichi Shinkuma, Yuichi Inagaki, Takehiro Sato, Eiji Oki (Kyoto Univ) MoNA2018-67
Recently, the demands on the services that predict and deliver real-time spatial information, such as road-traffic volum... [more] MoNA2018-67
pp.57-61
MoNA 2019-01-17
10:30
Kyoto T. B. D. Evaluation of Edge Cooperation Model for Real-Time Predictive Information Delivery Considering Prediction Accuracy
Masahiro Kanbayashi, Ryoichi Shinkuma, Takehiro Sato, Eiji Oki (Kyoto Univ.) MoNA2018-68
Nowadays, traffic congestion is still a serious social problem in many countries. Real-time delivery of predictive road ... [more] MoNA2018-68
pp.63-68
MoNA, IN, CNR
(Joint) [detail]
2018-11-15
14:40
Saga Karatsu Civic Exchange Plaza Survey and systematize of QoS in IoT
Takanori Iwai (NEC Co), Ryoichi Shinkuma (Kyoto University), Kyoko Yamori (Asahi University), Kozo Satoda, Takeo Onishi, Takahiro Nobukiyo (NEC Co) MoNA2018-29 CNR2018-26
 [more] MoNA2018-29 CNR2018-26
pp.43-48(MoNA), pp.49-54(CNR)
MoNA, IN, CNR
(Joint) [detail]
2018-11-15
15:05
Saga Karatsu Civic Exchange Plaza A consideration on QoS model in IoT
Kyoko Yamori (Asahi Univ.), Takanori Iwai, Takahiro Nobukiyo, Takeo Onishi, Kozo Satoda (NEC), Ryoichi Shinkuma (Kyoto Univ.) MoNA2018-30 CNR2018-27
 [more] MoNA2018-30 CNR2018-27
pp.49-54(MoNA), pp.55-60(CNR)
NS 2018-10-18
11:40
Kyoto Kyoto Kyoiku Bunka Center Mathematical model of virtual network function placement for service chaining with relaxing visit order and routing constraints
Naoki Hyodo, Takehiro Sato, Ryoichi Shinkuma, Eiji Oki (Kyoto Univ.) NS2018-109
This paper presents a mathematical model of virtual network function (VNF) placement that supports partially-ordered VNF... [more] NS2018-109
pp.25-30
 Results 1 - 20 of 139  /  [Next]  
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