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] |
|
CQ, MIKA (Joint) (2nd) |
2023-08-30 15:00 |
Fukushima |
Tenjin-Misaki Sports Park |
[Poster Presentation]
Deployment of UAV Base Stations Using Channel Database 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] |
|
AI |
2022-12-21 15:10 |
Fukuoka |
|
Grasping Trends in Major Choice and Specialization Through Clustering of Students Based on Completed Courses Daisuke Suzuki (Hokuriku Univ.) AI2022-42 |
This study aims to grasp trends of students' selection of specialized fields through clustering and visualization of stu... [more] |
AI2022-42 pp.50-55 |
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, 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 |
NC, MBE (Joint) |
2020-03-05 13:25 |
Tokyo |
University of Electro Communications (Cancelled but technical report was issued) |
Non-Negative Matirx Factrization for 2D-XAS Images of Lithium Ion Batteries Hiroki Tanimoto (Tokyo Tech), Masaishiro Mizumaki (JASRI), Yoshiki Seno (Saga prefectural regional industry support center), Ichiro Akai (Kumamoto Univ.), Toru Aonishi (Tokyo Tech) NC2019-95 |
Lithium ion batteries used in a wide variety of fields such as mobile devices and electric vehicles, and their performan... [more] |
NC2019-95 pp.113-118 |
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 |
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 |
2019-03-01 13:55 |
Okinawa |
Okinawa Ken Seinen Kaikan |
Embedded Systems Designs Using Approximate Computing for Data Clustering Acceleartion Shun Kimijima, Fransiscus Marcel Satria, Yuko Hara-Azumi (Tokyo Tech.) VLD2018-129 HWS2018-92 |
(To be available after the conference date) [more] |
VLD2018-129 HWS2018-92 pp.217-222 |
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 |
CQ (2nd) |
2016-10-06 13:20 |
Nagano |
Naganoken Nokyo Building |
[Poster Presentation]
A Study on AP Positioning on Adaptive Movable AP System Shingo Oka (Waseda Univ.), Tomoki Murakami, Yasushi Takatori, Masato Mizoguchi (NTT), Fumiaki Maehara (Waseda Univ.) |
The adaptive movable access point (AMAP) system is effective in realizing higher system capacity in dense wireless devic... [more] |
|
SAT, RCS (Joint) |
2016-08-19 15:20 |
Miyagi |
Tohoku Gakuin University |
A Study on Adaptive Movable AP System with Measured Positioning Error Shingo Oka (Waseda Univ.), Tomoki Murakami, Yasushi Takatori, Masato Mizoguchi (NTT), Fumiaki Maehara (Waseda Univ.) RCS2016-148 |
The adaptive movable access point (AMAP) system is effective in enhancing the system capacity in dense wireless device e... [more] |
RCS2016-148 pp.107-111 |
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 |
NLC, TL [detail] |
2015-06-05 12:45 |
Tokushima |
The University of Tokushima |
Categorization of Tweets Mentioning Books Based on Text Clustering Shuntaro Yada, Kyo Kageura (UTokyo) TL2015-11 NLC2015-11 |
We classified tweets mentioning books by their pattern of mentioning, using K-means clustering method. This attempt deri... [more] |
TL2015-11 NLC2015-11 pp.61-66 |