SAKAMOTO Naohisa

J-GLOBAL         Last updated: Oct 4, 2019 at 19:09
 
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Name
SAKAMOTO Naohisa
Affiliation
Kobe University
Section
Graduate School of System Informatics Department of Computational Science
Job title
Associate Professor
Degree
Ph.D.(Kyoto University)
Other affiliation
RIKEN
Research funding number
20402745
ORCID ID
0000-0002-9210-467X

Research Areas

 
 

Awards & Honors

 
Apr 2018
A Fully Parallel Particle-based Volume Rendering for Large-Scale Unstructured Volume Datasets, Honorable Mention Poster Award, IEEE Pacific Visualization
Winner: Kengo Hayashi, Yoshiaki Yamaoka, SAKAMOTO NAOHISA, Jorji Nonaka
 
Sep 2016
Network Coarse-Graining for Evaluation Structures, Japan Society of Simulation Technology Award - Encouragement Award, Japan Society of Simulation Technology
Winner: Yosuke Onoue, Nobuyuki Kukimoto, SAKAMOTO NAOHISA, Koji Koyamada
 
Jul 2014
High-quality Particle-based Volume Rendering for Large-scale Unstructured Volume Datasets, The Visualization Society of Japan Award (The 25th period) - Technical Award, The Visualization Society of Japan
Winner: SAKAMOTO NAOHISA, Naoya Maeda, Takuma Kawamura, Koji Koyamada
 
Nov 2012
Extraction of Vortices and Exploration of the Ocean Data by Visualization System, Best Paper Award Nominated, Asia Simulation Conference
Winner: Chi Zhang, SAKAMOTO NAOHISA, Koji Koyamada
 
Mar 2012
Stochastic Approach for Integrated Rendering of Volumes and Semi-transparent polygons on a High-resolution Display System, Best Poster Award, IEEE Pacific Visualization
Winner: SAKAMOTO NAOHISA, Jun Nishimura, Koji Koyamada
 

Published Papers

 
Yoshiaki Yamaoka, Kengo Hayashi, Naohisa Sakamoto, Jorji Nonaka
Journal of Advanced Simulation in Science and Engineering (JASSE)   6(1) 1-10   Mar 2019   [Refereed]
A Memory Efficient Parallel Particle-based Volume Rendering for Large-scale Distributed Unstructured Volume Datasets in HPC Environments
Yoshiaki Yamaoka, Kengo Hayashi, Naohisa Sakamoto, Jorji Nonaka
In proc. of the 18th Asia Simulation Conference (AsiaSim2018)   552-562   Oct 2018   [Refereed]
A Transfer Entropy based Visual Analytics System for Identifying Causality of Critical Hardware Failures - Case Study: CPU Failures in the K Computer
Kazuki Koiso, Naohisa Sakamoto, Jorji Nonaka, Fumiyoshi Shoji
In proc. of the 18th Asia Simulation Conference (AsiaSim2018)   563-574   Oct 2018   [Refereed]
Development of a visual analytic system of exploring the failure causes using big log data on HPC systems
Kazuki Koiso, Naohisa Sakamoto, Jorji Nonaka, Fumiyoshi Shoji
In proc. of the 37th JSST Annual International Conference on Simulation Technology (JSST2018)   340-343   Sep 2018   [Refereed]
Particle Based Volume Rendering using 234 Image Composition
Yoshiaki Yamaoka, Kengo Hayashi, Naohisa Sakamoto, Jorji Nonaka
In proc. of the 37th JSST Annual International Conference on Simulation Technology (JSST2018)   344-347   Sep 2018   [Refereed]

Misc

 
双見 京介, 尾上 洋介, 坂本 尚久
ながれ : 日本流体力学会誌 = Nagare : journal of Japan Society of Fluid Mechanics   34(2) 83-86   Apr 2015
小澤 啓太, 尾上 洋介, 坂本 尚久
可視化情報学会誌 = ournal of the Visualization Society of Japan   35(1) 315-318   2015
尾上 洋介, 坂本 尚久, 小山田 耕二
可視化情報学会誌 = ournal of the Visualization Society of Japan   34(135) 172-177,図巻頭1p   Oct 2014
宮地英生, 小山田耕二, 坂本尚久
計算工学講演会論文集(CD-ROM)   18 ROMBUNNO.C-8-5   Jun 2013
A. Ancel; I. Assenmacher; K. Baba; J. Cisonni; Y. Fujiso; P. Goncalves; M. Imbert; K. Koyamada; P. Neyron; K. Nozaki; H. Ohsaki; A.C. Orgerie; X. Pelorson; B. Raffin; N. Sakamoto; E. Sakane; S. Shimojo; A.V. Hirtum; S. Wada
Proceedings - International Computer Software and Applications Conference   703-708   2013   [Refereed]

Books etc

 
"ボリュームデータ(分野:可視化、部門:ボリューム可視化)", シミュレーション辞典 (日本シミュレーション学会編)
Naohisa Sakamoto
コロナ社   Feb 2012   
Particle based Volume Rendering - Theory and Programming -
Naohisa Sakamoto, Koji Koyamada (Part:Joint Work)
コロナ社   Oct 2010   

Conference Activities & Talks

 
ヘッドマウントディスプレイ向け統合可視化基盤システムの開発
長濱 愛珠咲, SAKAMOTO NAOHISA
第2回ビジュアリゼーションワークショップ   Mar 2019   
確率的半透明流線可視化向けアンビエントオクルージョン
藤田 泰之, SAKAMOTO NAOHISA
第2回ビジュアリゼーションワークショップ   Mar 2019   
深層学習技術を使った可視化画像からのパイプライン推定
村本 佳希, SAKAMOTO NAOHISA
第2回ビジュアリゼーションワークショップ   Mar 2019   
歯茎摩擦音発音シミュレーションにおける口腔内気流と空力音源の in-situ 可視化
林 賢悟, 吉永司, 野崎 一徳, 野中 丈士, SAKAMOTO NAOHISA
第 32 回数値流体力学シンポジウム   Dec 2018   
HIVE: A Cross-Platform, Modular Visualization Ecosystem for Heterogeneous Computational Environments
Jorji Nonaka, Kenji Ono, Naohisa Sakamoto, Kengo Hayashi, Tomohiro Kawanabe, Fumiyoshi Shoji
The 2018 Conference on Supercomputing (SC18)   Nov 2018   

Teaching Experience

 

Research Grants & Projects

 
Ministry of Education, Culture, Sports, Science and Technology: Grants-in-Aid for Scientific Research(基盤研究(B))
Project Year: 2009 - 2011    Investigator(s): Koji KOYAMADA
When a particle-based volume rendering is applied to a volume dataset, a huge number of particles may be generated if some transfer function is specified. It is pointed out that there is a possibility that the decrease of the frame rate may hamper...