Development of Remote Visualization and Collaborative Visualization System in ITBL Grid Environment

2003 ◽  
pp. 269-277
Author(s):  
Yoshio Suzuki ◽  
Nobuko Matsumoto
Keyword(s):  
Grid Environment ◽  
Remote Visualization ◽  
Visualization System ◽  
Collaborative Visualization

Study on Remote Monitoring Visualization System of Roof Support

2012 ◽  
Vol 190-191 ◽  
pp. 1057-1060 ◽  
Author(s):  
Wen Lei Zhang ◽  
Xiao Wen Zheng ◽  
Bao Feng Chen ◽  
Yang Peng
Keyword(s):  
Data Acquisition ◽  
Remote Monitoring ◽  
External Control ◽  
Remote Visualization ◽  
Visualization System ◽  
Remote Monitoring System ◽  
Mining Machinery ◽  
Working Status ◽  
Data Acquisition Module ◽  
Roof Support

Data, curves or 2D graphics are displayed in the traditional remote monitoring system of roof support, without real-time display of working status of roof support in 3D graphics. In order to solve this problem, VB6.0 programming language and EON Studio software were combined. Communication protocol between VB6.0 and EON Studio and the way of external control on EONX were analyzed. Data acquisition system with ADAM-6017 Data Acquisition Module was designed. The remote monitoring visualization system of roof support driven by parameters of displacement and attitude was developed by means of the Ethernet transmission. The system lays a favorable foundation for remote visualization of working status of mining machinery.

The Ignite Distributed Collaborative Visualization System

2015 ◽  
Vol 43 (3) ◽  
pp. 45-46 ◽  
Author(s):  
Sushil Bhojwani ◽  
Matt Hemmings ◽  
Dan Ingalls ◽  
Jens Lincke ◽  
Robert Krahn ◽  
...  
Keyword(s):  
Visualization System ◽  
Collaborative Visualization

Acceleration of Particle Generation for Remote Visualization System using Particle-based Volume Rendering

2014 ◽  
Vol 2014.27 (0) ◽  
pp. 204-205
Author(s):  
Takuma Kawamura ◽  
Hiroko Miyamura(Nakamura) ◽  
Yasuhiro Idomura ◽  
Hiroshi Takemiya
Keyword(s):  
Volume Rendering ◽  
Remote Visualization ◽  
Visualization System ◽  
Particle Generation

scholarly journals Data Storage, Processing, and Visualization for the Australia Telescope Compact Array

2006 ◽  
Vol 23 (1) ◽  
pp. 25-32 ◽  
Author(s):  
Tara Murphy ◽  
Peter Lamb ◽  
Christopher Owen ◽  
Malte Marquarding
Keyword(s):  
Data Storage ◽  
Data Reduction ◽  
Virtual Observatory ◽  
Remote Visualization ◽  
Visualization System ◽  
Design And Implementation ◽  
Online Archive ◽  
Virtual Observatory Tools ◽  
Compact Array

AbstractWe present three Virtual Observatory tools developed at the Australia Telescope National Facility (ATNF) for the storage, processing and visualization of Australia Telescope Compact Array (ATCA) data. These are the Australia Telescope Online Archive, a prototype data-reduction pipeline, and the Remote Visualization System. These tools were developed in the context of the Virtual Observatory and were intended to be both useful for astronomers and technology demonstrators. We discuss the design and implementation of these tools, as well as issues that should be considered when developing similar systems for future telescopes.

scholarly journals ReVisE: Remote visualization environment for large numerical simulation datasets

PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0255030
Author(s):  
Stepan Orlov ◽  
Alexey Kuzin ◽  
Alexey Zhuravlev ◽  
Vyacheslav Reshetnikov ◽  
Egor Usik ◽  
...  
Keyword(s):  
System Development ◽  
Real Life ◽  
Interactive Visualization ◽  
Large Datasets ◽  
Performance Measurements ◽  
Remote Visualization ◽  
Visualization System ◽  
Remote Server ◽  
Visualization Systems ◽  
Future Plans

The paper presents a new open-source visualization system, named ReVisE, aimed to provide interactive visualization of large datasets, which are results of complex numerical simulations. These datasets are hosted on a remote server or a supercomputer. The design of the system is briefly described. Dataset representation, proposed for interactive visualization and implemented in the system, is discussed. The effectiveness of our approach is confirmed by results of performance measurements on test and real-life large datasets. A comparison with other visualization systems is presented. Future plans of system development are outlined.

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