An introduction to AVS (Online Seminar)
publication date :
Event date
We will carry out the lecture and drill of Visualization system, AVS.
Requirements
- This seminar is held online via Zoom. Attendees need to have the following environments.
- Internet connection
- Fixed line is recommended for the stability of connection.
- PC (Windows or Mac)
- Internet connection
Entry Qualifications
- We will carry out the drill with Unix environment.
Please refer to the following WEB page for the basic use of Unix if you haven't used Unix in the past.
Basic knowledge of UNIX / Linux(http://web.kudpc.kyoto-u.ac.jp/manual/en/linux) - Super computer is the candidate for Export Administration Regulations and taking lecture is also subject of the regulations of Foreign Exchange Control Law and relevant law. Please be aware of that. For the details, please check "the use of super computer for non-Japanese and those who live overseas.
About the use of super computer for non-Japanese and those who live overseas
http://www.iimc.kyoto-u.ac.jp/ja/services/comp/apply/other/gaikokujin.html
Notes
- This seminar is held in Japanese language only.
- The email address you register must be what your organization provides for you. Free email address or private email address is not allowed.
- We send you a guidance email 3 days before the seminar, which contains the URLs of seminar room and texts. Please make sure to read the email.
Date | May 20(Fri), 2022 from 10:00 to 17:00 |
Venue | Online (Zoom) |
Participation fees | Free |
Eligibility for participation | For academic users only. Users of the large-scale computer system of this center, faculties, graduate and undergraduate students. |
Application | Required |
Capacity | 15 |
Sponsor | Research Support Division |
Inquiry | Research Information Section, IT Promotion Division, Information Management Department, Kyoto University TEL:075-753-7407 E-mail:comp-info Image
![]() Inquiry Form |
Program | ・AVS 概要・事例紹介 ・基本操作演習 ・データ種類ごとの基本可視化 ・データフォーマット (FLD/UCD) 説明 ・動画作成&3DAVSPlayer 演習 ・色の変更(物体表面の色、カラーマップ) ・各種可視化手法 ・流体解析データの可視化手法 ・構造解析データの可視化手法 ・離散データの可視化手法 ・要素中心データの可視化手法 |