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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 20 of 55  /  [Next]  
Committee Date Time Place Paper Title / Authors Abstract Paper #
SeMI 2024-01-19
11:25
Yamanashi Raki House Kaiji Trajectory Optimization of Multiple Aerial Base Stations for Traffic Changes
Maki Kozaki, Takeshi Hirai, Rei Oda, Naoki Wakamiya (Osaka Univ.) SeMI2023-68
This paper optimizes, we have identified trajectories of multiple aerial base stations (ABSs) to maximize the throughput... [more] SeMI2023-68
pp.100-105
RISING
(3rd)
2023-10-31
10:45
Hokkaido Kaderu 2・7 (Sapporo) [Poster Presentation] Formulation of a Social Surplus Optimization Problem for Predicting Fishing Outcomes Using Federated Learning
Shotaro Kitano, Shota Miyagoshi, Takuji Tachibana (Univ. Fukui)
In cross-device federative learning, where each client participates with an IoT device such as a smartphone, a large num... [more]
MIKA
(3rd)
2023-10-10
15:35
Okinawa Okinawa Jichikaikan
(Primary: On-site, Secondary: Online)
[Poster Presentation] A Consideration of Data Smoothing and Weight Orthogonalization in Blind Signal Separation Using Kurtosis Maximization Algorithm
Shogo Osakabe, Nobuyoshi Kikuma, Kunio Sakakibara, Yoshiki Sugimoto (NITech)
With the recent rapid evolution in wireless communications, the demand for high-quality, low-latency transmission and th... [more]
MSS, CAS, SIP, VLD 2023-07-07
15:20
Hokkaido
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Masaaki Miyasita, Norihiko Shinomiya (Soka Univ.) CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CAS2023-28 VLD2023-28 SIP2023-44 MSS2023-28
pp.143-146
NLP, MSS 2023-03-17
10:20
Nagasaki
(Primary: On-site, Secondary: Online)
A method of suppressing false information diffusion in OSN
Atsushi Wakamatsu, Masaaki Miyashita, Norihiko Shinomiya (Soka Univ.) MSS2022-95 NLP2022-140
The diffusion of false information in online social networks is a serious problem.Despite various countermeasures, it is... [more] MSS2022-95 NLP2022-140
pp.156-159
CQ, CBE
(Joint)
2023-01-27
10:40
Ibaraki Epochal Tsukuba International Congress Center
(Primary: On-site, Secondary: Online)
Verification of effectiveness of the greedy algorithm for the influence maximization problem focusing on the authenticity in OSN
Jodai Yoshiue, Atsushi Wakamatsu, Msaaki Miyashita, Norihiko Shinomiya (Soka Univ.) CQ2022-73
In recent years, social media has become increasingly popular. While it has advantages such as high advertising effectiv... [more] CQ2022-73
pp.69-72
CQ, MIKA
(Joint)
2021-09-09
11:35
Online Online On the Effectiveness of Breadth-First Search for Influence Maximization on Unknown Networks
Yuki Wakisaka, Ryotaro Matsuo (Kwansei Gakuin Univ.), Sho Tsugawa (Tsukuba Univ.), Hiroyuki Ohsaki (Kwansei Gakuin Univ.) CQ2021-42
Recently, the influence maximization problem for unknown networks has received much attention. The problem aims to ident... [more] CQ2021-42
pp.29-34
NLP, MSS
(Joint)
2021-03-15
13:25
Online Online Graph Structure Optimization Using Genetic Algorithms
Hiroki Tajiri, Tsuyoshi Migita, Norikazu Takahashi (Okayama Univ.) NLP2020-59
There are many large and complex networks in the real world. These networks are modeled as graphs and analyzed using a v... [more] NLP2020-59
pp.23-28
NLP, MSS
(Joint)
2021-03-16
13:00
Online Online On Maximizing Utility of Information Diffusion in Social Networks
Masaaki Miyashita, Daisuke Kasamatsu, Norihiko Shinomiya (Soka Univ.) MSS2020-52
A purpose of information diffusion performed by information providers is to maximize the total utility of users, such as... [more] MSS2020-52
pp.43-46
IE, ITS, ITE-MMS, ITE-ME, ITE-AIT [detail] 2021-02-18
11:35
Online Online A Note on Accurate Distress Image Classification of Road Structures Using Attention Map based on Text Data
Naoki Ogawa, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama (Hokkaido Univ.)
This paper presents a correlation-aware attention branch network (CorABN) using multi-modal data for deterioration level... [more]
RCS, SR, SRW
(Joint)
2020-03-05
13:55
Tokyo Tokyo Institute of Technology
(Cancelled but technical report was issued)
Performance of MIMO transmission using a spatial-temporal subspace-based compressive channel estimation technique
Yasuhiro Takano (Kobe Univ.) RCS2019-367
Channel estimation accuracy in massive multiple-input multiple-output (MIMO) systems can suffer from deterioration since... [more] RCS2019-367
pp.239-244
MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] Study on the Effectiveness of Random Node Sampling in Influence Maximization on Graph
Yuki Wakisaka, Kazuyuki Yamashita (Kwansei Gakuin Univ.), Sho Tsugawa (Univ. of Tsukuba), Hiroyuki Ohsaki (Kwansei Gakuin Univ.)
Influence maximization in a social network has been intensively studied,
motivated by its application to so-called vi... [more]

MIKA
(2nd)
2019-10-03
11:15
Hokkaido Hokkaido Univ. [Poster Presentation] An Evaluation of Data-Based Influence Maximization Algorithm using Retweet Logs
Takuya Nagase, Sho Tsugawa (Univ.Tsukuba)
Influence maximization on social networks has been extensively studied in the literature. Influence maximization algorit... [more]
RCS, SR, SRW
(Joint)
2019-03-08
09:50
Kanagawa YRP [Invited Lecture] A Reinforcement Learning Framework for User-to-Access Points Association in Future Wireless Networks
Megumi Kaneko, Thi Ha Ly Dinh (NII), Keisuke Wakao, Hirantha Abeysekera, Yasushi Takatori (NTT) RCS2018-322
This work investigates the issue of distributed user-to-multiple Acess Points (AP) association, where a user requiring s... [more] RCS2018-322
p.205
IBISML 2018-11-05
15:10
Hokkaido Hokkaido Citizens Activites Center (Kaderu 2.7) [Poster Presentation] An Efficient Branch-and-Bound Algorithm for Submodular Function Maximization
Naoya Uematsu, Shunji Umetani, Yoshinobu Kawahara (Osaka Univ./RIKEN) IBISML2018-68
The submodular function maximization is an attractive optimization model that appears in many real applications.
Altho... [more]
IBISML2018-68
pp.183-190
SANE 2018-05-14
13:15
Tokyo Kikai-Shinko-Kaikan Bldg. Closely Spaced Multiple Target Tracking with Super-Resolution DoA Estimation using Multiple Hypothesis
Masanari Nakamura, Tetsutaro Yamada, Yasushi Obata, Hiroshi Kameda (Mitsubishi Electric Corp.) SANE2018-6
In this paper, we propose multiple target tracking algorithm for dense targets which move toward the radar. When FBSSP-M... [more] SANE2018-6
pp.29-34
RCS 2018-04-23
11:20
Yamaguchi Hotel New Tanaka, Yuda Onsen Optimization of Beam Patterns for Analog Beamforming of Single User Massive MIMO Transmissions
Maki Arai, Kei Sakaguchi, Kiyomichi Araki (Tokyo Inst. of Tech.) RCS2018-5
This paper proposes optimal beam patterns of analog beamforming for SU (Single User) massive MIMO (Multi-Input Multi-Out... [more] RCS2018-5
pp.25-30
CQ 2018-01-18
10:45
Tokyo NII On the Effectiveness of Influence Measures for Identifying Influencers and their Correlations in Social Networks
Shumpei Takemura, Sho Tsugawa (UoT) CQ2017-88
Identifying influential nodes in social networks is one of the important research topics in the field of network science... [more] CQ2017-88
pp.17-22
IBISML 2017-11-09
13:00
Tokyo Univ. of Tokyo IBISML2017-72 We propose an accelerated best-first search (BFS) for monotone submodular function maximization with a knapsack constrai... [more] IBISML2017-72
pp.277-282
AP, RCS
(Joint)
2017-11-09
13:25
Fukuoka Fukuoka University [Invited Lecture] Performance Evaluation of User Scheduling Method Based on Channel Capacity Maximization in Massive MIMO
Masanao Sasaki, Kota Igarashi, Sho Okumura, Hiroaki Nakabayashi (Chiba Inst. Tech) AP2017-126 RCS2017-231
In recent years, studies on the 5th generation mobile communication system (5G) are under way, and massive MIMO technol... [more] AP2017-126 RCS2017-231
pp.97-102(AP), pp.153-158(RCS)
 Results 1 - 20 of 55  /  [Next]  
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