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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| MIKA (3rd) |
2023-10-10 15:35 |
Okinawa | Okinawa Jichikaikan (Primary: On-site, Secondary: Online) |
[Poster Presentation]
Channel Map Clustering for UAV Base Station Placement Method in Cell-Free Massive MIMO Networks Ryota Nosaka, Takahiro Matsuda (Tokyo Metropolitan Univ.) |
Although a cell-free massive MIMO network can provide users with uniformly good quality of services regardless of their ... [more] | |
| RCS, SAT (Joint) |
2023-09-01 09:00 |
Nagano | Naganoken Nokyo Building, and online (Primary: On-site, Secondary: Online) |
K-Means-Aided Particle Swarm Optimization for Antenna Control in Multi-Cell HAPS System Wei Dai, Siyuan Yang, Mondher Bouazizi, Tomoaki Ohtsuki (Keio.)  RCS2023-116 |
High Altitude Platform Stations (HAPS) are considered a solution for providing ultrawide coverage areas and disaster-res... [more] | RCS2023-116 pp.73-78 |
| EMM | 2022-01-27 15:50 |
Online | Online | Successive Binary Partition k-Means Algorithm
-- A clustering algorithm with less sample bias -- Akinori Ito (Tohoku Univ.) EMM2021-90 |
We propose a clustering algorithm that reduces the bias in the number of samples belonging to a cluster. Conventional cl... [more] | EMM2021-90 pp.37-42 |
| IBISML | 2022-01-18 13:40 |
Online | Online | More Powerful Selective Inference for K-means clustering with Application to Single Cell Analysis Mizuki Sato, Yumehiro Omori, Yu Inatsu, Ichiro Takeuchi (NITech) IBISML2021-25 |
K-means clustering is the most famous clustering method because of its simplicity, and it has been applied to a wide ran... [more] | IBISML2021-25 pp.54-60 |
| AP, RCS (Joint) |
2021-11-11 09:55 |
Nagasaki | NBC-Bekkan (Nagasaki) (Primary: On-site, Secondary: Online) |
On Power Allocation Strategy for Realistic Cellular Structured Cluster-wise Distributed MU-MIMO System Sijie Xia, Chang Ge, Qiang Chen, Fumiyuki Adachi (Tohoku Univ.) RCS2021-157 |
With the demanding of higher capacity and higher data rate services in 5G-advanced systems, distributed multi-user multi... [more] | RCS2021-157 pp.75-79 |
| MBE, NC (Joint) |
2021-10-28 15:30 |
Online | Online | A Deep Neural Network Model Compression with Spherical Clustering of Neurons Shin Sakamoto, Masao Okita, Fumihiko Ino (Osaka Univ) NC2021-22 |
In this paper, we propose weight matrix compression with spherical clustering of neurons , aiming at reducing memory usa... [more] | NC2021-22 pp.22-27 |
| RCS, SR, NS, SeMI, RCC (Joint) |
2021-07-14 09:25 |
Online | Online | On Cellular Structure for Ultra-dense Distributed Antenna-based 5G-advanced Systems Sijie Xia, Chang Ge, Ryo Takahashi, Qiang Chen, Fumiyuki Adachi (Tohoku Univ.) RCS2021-78 |
Compared with the traditional cellular structure based on centralized antennas, the distributed antenna-based cellular s... [more] | RCS2021-78 pp.7-12 |
| IN, NS (Joint) |
2021-03-04 09:30 |
Online | Online | Reduction of the load using k-means++ for P2PMMORPG Ryo Kambe, Sumiko Miyata (SIT) IN2020-59 |
In a P2P MMORPG, the game space is divided into multiple regions, and nodes are placed in each region to manage the game... [more] | IN2020-59 pp.31-36 |
| RCS | 2020-06-25 10:00 |
Online | Online | Design of Millimeter-wave UAV Base Station for Access Link Masanori Ozasa, Jin Nakazato, Kosuke Hirata, Khanh Tran Gia, Kei Sakaguchi (Tokyo Tech) RCS2020-31 |
In the event of an emergency disaster, it is essential to provide a high-speed wireless communication infrastructure at ... [more] | RCS2020-31 pp.49-54 |
| IN, RCS, NV (Joint) |
2020-05-21 10:25 |
Online | Online | A Study on Cluster-wise User-antenna Association in 5G Advanced Ultra-dense RAN Sijie Xia, Chang Ge, Qiang Chen, Fumiyuki Adachi (Tohoku Univ.) RCS2020-11 |
Ultra-dense radio access network (RAN) consisting a large number of distributed antennas and user terminals is able to i... [more] | RCS2020-11 pp.7-12 |
| RCS, SR, SRW (Joint) |
2020-03-04 10:35 |
Tokyo | Tokyo Institute of Technology (Cancelled but technical report was issued) |
K-Means Clustering and Multi-user Zero-Forcing for Ultra-dense RAN in 5G Advanced Systems Sijie Xia, Chang Ge, Qiang Chen, Fumiyuki Adachi (Tohoku Univ.) RCS2019-324 |
Ultra-dense radio access network (RAN) consisting of a large number of distributed antennas is considered to be able to ... [more] | RCS2019-324 pp.25-30 |
| EA, ASJ-H, ASJ-AA | 2019-07-17 14:50 |
Hokkaido | SAPPORO COMMUNITY PLAZA | A Study on Automatic Summarization of Music Data Based on Its Acoustic Features Yudai Kikuchi, Naofumi Aoki, Yoshinori Dobashi (Hokkaido Univ.) EA2019-19 |
This paper describes the method of automatic music summarization. Music has a repetitive structure, so we detect the rep... [more] | EA2019-19 pp.99-102 |
| SIS | 2019-03-07 12:15 |
Tokyo | Tokyo Univ. Science, Katsushika Campus | A Color Quantization Method Preserving Infrequent Salient Colors for Image Enlargement Yukiya Fukuda, Hideaki Misawa (NIT, UC), Hakaru Tamukoh (KIT), Ryosuke Kubota (NIT, UC), Byungki Cha, Takashi Aso (KIIT) SIS2018-51 |
In this report, we propose an image enlargement algorithm with a color quantization considering infrequent salient color... [more] | SIS2018-51 pp.75-80 |
| PRMU, CNR | 2019-03-01 13:30 |
Tokushima | Recognition of Color Characters in Scene Images via Optimal Binarization and Distortion-tolerant Image Matching Masato Suzuki, Toru Wakahara (Hosei Univ.) PRMU2018-130 CNR2018-53 |
This paper proposes an efficient combination of optimal binarization and distortion-tolerant image matching for color ch... [more] | PRMU2018-130 CNR2018-53 pp.89-94 |
|
| HWS, VLD | 2019-02-28 13:55 |
Okinawa | Okinawa Ken Seinen Kaikan | Model Compression for ECG Signals Outlier Detection Hardware trained by Sparse Robust Deep Autoencoder Naoto Soga, Shimpei Sato, Hiroki Nakahara (Titech) VLD2018-114 HWS2018-77 |
In recent years, portable electrocardiographs and wearable devices have begun to spread so that electrocar- diogram (ECG... [more] | VLD2018-114 HWS2018-77 pp.127-132 |
| CAS, ICTSSL | 2019-01-24 15:50 |
Tokyo | Kikai-Shinko-Kaikan Bldg. | A Facility Location Algorithm based on k-means/k-means++ Clustering Ryoji Tanemura, Toshihiko Takahashi (Niigata Univ.) CAS2018-126 ICTSSL2018-45 |
We propose a heuristic algorithm for metric uncapacitated facility location problem with uniform opening costs, which is... [more] | CAS2018-126 ICTSSL2018-45 pp.49-52 |
| SIS | 2016-12-08 14:30 |
Hiroshima | Hiroshima City Univ. | K-means Clustering-based Color Image Quantization with Preserving Minor Colors Kennosuke Suzuki, Hideaki Misawa, Ryosuke Kubota (NIT, Ube College) SIS2016-34 |
In this report, we propose a new color quantization method with preserving minor colors of an original image. Firstly, K... [more] | SIS2016-34 pp.35-39 |
| IBISML | 2016-11-17 14:00 |
Kyoto | Kyoto Univ. | Anomaly Deteciton with K-Means
-- Comparison with Supervised Methods -- Hisashi Takahara (UNP) IBISML2016-75 |
Today, almost all computers have access to the Internet. Computers connected to the Internet are susceptible to various ... [more] | IBISML2016-75 pp.207-214 |
| IN, NV (Joint) |
2016-07-16 09:00 |
Hokkaido | Matsumaecho Sougo Center | Analysis and Prediction of Popularity Dynamics of User Generated Contents Tatsuya Tanaka (Osaka Univ.), Shingo Ata (Osaka City Univ.), Masayuki Murata (Osaka Univ.) IN2016-31 |
In recent years, social networking services such as YouTube, which share UGC (User Generated Contents) have become much ... [more] | IN2016-31 pp.49-54 |
| SR, SRW (Joint) |
2016-05-17 14:00 |
Overseas | Hotel Lasaretti, Oulu, Finland | [Poster Presentation]
Fast rendezvous channel method based on two-stage sensing using the way to cluster the used channel Hayato Soya (Nagano Pref Inst), Tsukasa Yoneda, Takumi Kimura, Osamu Takyu (Shinshu Univ), Mai Ohta (Fukuoka Univ), Takeo Fjii (UEC), Fumihito Sasamori, Shiro Handa (Shinshu Univ) SR2016-23 SRW2016-20 |
For cognitive radio implementation，it is needed high-precision high-speed measurement of the occupancy rate and the tran... [more] | SR2016-23 SRW2016-20 pp.81-82(SR), pp.69-70(SRW) |
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