Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
R |
2023-07-28 15:30 |
Hokkaido |
(Primary: On-site, Secondary: Online) |
Deep Learning Approach for OSS Reliability Assessment Based on Data Preprocessing Considering the Wiener Process Yoshinobu Tamura (Yamaguchi Univ.), Shigeru Yamada (Tottori Univ.) R2023-16 |
In many open source software, the development style based on the database of general bug tracking systems is the normal ... [more] |
R2023-16 pp.33-38 |
SC |
2023-06-02 15:45 |
Fukushima |
UBIC 3D Theater, University of Aizu (Primary: On-site, Secondary: Online) |
Resource Allocation Optimization of Distributed Infrastructure in Big Data Analysis Systems Rina Ueno, Hitoshi Yabusaki (Hitachi) SC2023-7 |
Big data analysis systems often use distributed analysis infrastructure to accelerate processing. Minimizing resource ut... [more] |
SC2023-7 pp.38-41 |
SANE |
2022-12-15 14:30 |
Nagasaki |
Nagasaki Public Hall (Primary: On-site, Secondary: Online) |
Similarity Approach for Synthetic Aperture Radar Range Ambiguity Suppression Ryo Natsuaki, Raiki Kudo, Akira Hirose (UTokyo) SANE2022-67 |
In this paper, we propose a similarity approach for Synthetic Aperture Radar (SAR) range ambiguity suppression. Range am... [more] |
SANE2022-67 pp.29-32 |
CPSY, RECONF, VLD, IPSJ-ARC, IPSJ-SLDM [detail] |
2021-01-26 09:00 |
Online |
Online |
Acceleration of Database Query Processing Using FPGA Hirohiko Ozaku (UEC), Masato Yoshimi (TIS), Celimuge Wu, Tsutomu Yoshinaga (UEC) VLD2020-55 CPSY2020-38 RECONF2020-74 |
A bottleneck of Big data analysis is a time to transfer large amount of data to the main memory from the storage. The da... [more] |
VLD2020-55 CPSY2020-38 RECONF2020-74 pp.90-95 |
NS, IN (Joint) |
2020-03-06 10:40 |
Okinawa |
Royal Hotel Okinawa Zanpa-Misaki (Cancelled but technical report was issued) |
A study of wide-area distributed IoT network system Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII) NS2019-229 |
Various devices and equipment have connectibility with telecommunication, mobile networks, internet and local industrial... [more] |
NS2019-229 pp.289-294 |
IN, NS (Joint) |
2019-03-04 10:50 |
Okinawa |
Okinawa Convention Center |
A study of multipoint perceptual IoT with local wireless mesh networks Akira Tanaka (NIT, Tokyo College), Mitsuru Maruyama (KAIT), Shigeo Urushidani (NII) NS2018-215 |
Mobile terminals and various IoT devices, also affordable small microcomputers and reconfigurable devices are widely dif... [more] |
NS2018-215 pp.129-134 |
SC |
2018-06-01 14:55 |
Fukushima |
UBIC 3D Theater, University of Aizu |
A Survey of Research on Scientific Workflow Shinji Kikuchi (UoA), Shigeru Hosono (TMU) SC2018-5 |
As the number of IoT devices grows, huge amount of digital data are stored in the cloud environments. The technologies f... [more] |
SC2018-5 pp.27-31 |
MSS, NLP (Joint) |
2018-03-13 15:45 |
Osaka |
|
On Sector Decision Problem of Aircraft Positions in CARATS Open Data Shoya Tokumaru, Kunihiko Hiraishi (JAIST) MSS2017-86 |
Since February 2015 the Ministry of Land, Infrastructure and Transportation began offering data describing information o... [more] |
MSS2017-86 pp.47-51 |
TL |
2017-09-23 13:30 |
Kyoto |
Kyoto Institute of Technology |
Comparative study of utilization of non-structured data for automatic generation of sentences
-- Connection between sentence and sentence as a subject -- Hiromitsu Ota (Univ. of Air) TL2017-38 |
Several years have passed since the age of big data arrived, and the development of deep learning in recent years is rem... [more] |
TL2017-38 pp.1-6 |
DE, IPSJ-DBS, IPSJ-IFAT |
2017-09-18 12:30 |
Tokyo |
Ochanomizu University |
Comparative consideration of automatic sentence generation method
-- Issues and measures of connection among sentences in sentence generation -- Ota Hiromitsu (Univ. of Air) DE2017-13 |
The era of big data has arrived, several years have passed since it was established. Especially the development of deep ... [more] |
DE2017-13 pp.1-6 |
CS, NS, IN, NV (Joint) |
2017-09-08 09:25 |
Miyagi |
Research Institute of Electrical Communication, Tohoku Univ. |
Design and Implementation of Activation Server for Limited Usages of Digital Objects Ryo Ogitani, Fumio Teraoka, Kunitake Kaneko (Keio Univ.) NS2017-79 |
In recent years, there has been a growing interest in utilization by sharing big data. However, big data has potential v... [more] |
NS2017-79 pp.49-54 |
ICD, CPSY |
2016-12-16 11:30 |
Tokyo |
Tokyo Institute of Technology |
[Invited Talk]
Neuromorphic computing
-- Toward cognitive era and beyond -- Masatoshi Ishii (IBM Japan) ICD2016-94 CPSY2016-100 |
It is essential to improve computing speed and power efficiency for processing ‘Big data’ which exponentially
increases... [more] |
ICD2016-94 CPSY2016-100 pp.131-132 |
IN, MoNA, CNR (Joint) |
2016-11-17 15:00 |
Kagoshima |
Kirishima-kanko Hotel |
[Invited Talk]
The collaboration between Digital IT platform and Cognitive solution - IBM Bluemix + Watson Misaki Utou (IBM Japan) MoNA2016-25 |
Cognitive system and Cloud platform is IBM’s focused area with high priority in 2016. IBM defines that Cognitive sy... [more] |
MoNA2016-25 p.17 |
SC |
2016-06-03 13:55 |
Fukushima |
The University of Aizu |
[Short Paper]
Optimal allocation algorithms for geo-distributed data center topology Yuichi Yamada, Wuhui Chen, Paik Incheon (Aizu Univ.) SC2016-3 |
Virtual machine allocation problem in cloud computing has been widely studied in recent years and a lot of algorithms ha... [more] |
SC2016-3 pp.15-16 |
RECONF |
2016-05-19 10:05 |
Kanagawa |
FUJITSU LAB. |
Succinct-Data-Structure Based on Block-Size-Constrained Compression for a Text-Search Accelerator Masanori Hariyama, Hasitha Muthumala Waidyasooriya (Tohoku Univ.) RECONF2016-2 |
Succinct data structures are introduced to efficiently solve a given problem while representing the data using as a litt... [more] |
RECONF2016-2 pp.3-8 |
SIS |
2016-03-11 14:30 |
Tokyo |
Tokyo City Univ. |
Evaluation of Task Clustering Algorithm in Heterogeneous Distributed System Shuya Hashimoto (Tokyo Univ. of Infomasion Sciences), Hidehiro Kanemitsu (Waseda Univ.), Kazuo Hajikano (Daiichi Institute of Technology), Hojun Moon, Moo Wan Kim (Tokyo Univ. of Infomasion Sciences) SIS2015-72 |
In this paper, the evaluation result of a task clustering heuristic algorithm proposed for large number of heterogeneous... [more] |
SIS2015-72 pp.141-145 |
SS, MSS |
2016-01-26 13:20 |
Ishikawa |
Shiinoki-Geihin-Kan |
Implementation of Parallel Distributed Graph Clustering Algorithm on Apache Spark with Node Partition and Aggregation in Large-Scale Graphs Riku Asayama, Kohei Sakurai, Satoshi Yamane (Kanazawa Univ.) MSS2015-60 SS2015-69 |
In this paper, we propose the rapid clustering method with the large-scaled graph structured data. Our approach is a dat... [more] |
MSS2015-60 SS2015-69 pp.141-146 |
SC |
2016-01-15 13:30 |
Kyoto |
Kyoto University (Design Innovation Center) |
Workflow Transformation for Real-Time Big Data Processing Yuji Ishizuka, Wuhui Chen, Incheon Paik (University of Aizu) SC2015-16 |
With the explosion of big data, processing and analyzing large numbers of continuous data streams in real-time, such as ... [more] |
SC2015-16 pp.7-12 |
AI |
2015-12-04 10:35 |
Fukuoka |
Kyutech-Salite |
On the logical treatment of IMDJ data Akinori Abe (Chiba Univ.) AI2015-13 |
Recently we have been able to deal with a great volume of data.
Accordingly the keyword ``big data'' is referred to in ... [more] |
AI2015-13 pp.7-11 |
AI |
2015-12-04 15:35 |
Fukuoka |
Kyutech-Salite |
A Streaming Algorithm on a Big Data Replay Engine is Best Written as a jQuery Script Marat Zhanikeev (Kyutech) AI2015-22 |
The idea of using jQuery general logic and its concept of chains as a natural language processing environment has been p... [more] |
AI2015-22 pp.57-60 |