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Three-dimensional Particle Tracking Velocimetry for Turbulence Applications: Case of a Jet Flow
Published on: February 27, 2016
Infrared tomography: data distribution system and software development for real-time velocity measurement
Ruzairi Abdul Rahim1, Jon Fea Pang, Kok San Chan
1Process Tomography Research Group, Control and Instrumentation Engineering Department, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310 UTM, Skudai, Johor, Malaysia. ruzairi@fke.utm.my
This study enhances data processing speed for industrial applications by using two PCs in parallel. The developed two-PC systems achieve faster measurement refreshing rates compared to single-computer setups.
Area of Science:
- Computer Science
- Engineering
- Data Processing
Background:
- Single-computer data processing limits real-time results, impacting industrial feedback control.
- Existing systems require faster measurement refreshing rates for improved performance.
Purpose of the Study:
- To investigate two-PC data distribution systems for image reconstruction and velocity measurement.
- To determine if parallel processing with two PCs can exceed single-PC performance.
- To enhance data processing speed and real-time measurement capabilities.
Main Methods:
- Developed a Two-PC Image Reconstruction System.
- Developed a Two-PC Velocity Measurement System.
- Implemented flow control protocols for efficient data distribution between two PCs.
Main Results:
- The two-PC systems demonstrated potential for increased data processing speed.
- Parallel processing with two PCs aims to achieve higher refreshing rates than single-PC systems.
- Defined critical data flow processes and timing for inter-PC communication.
Conclusions:
- Two-PC data distribution systems offer a viable solution for accelerating measurement refreshing rates.
- Parallel processing is key to overcoming the limitations of single-computer systems in industrial applications.
- Optimized data flow and timing are crucial for efficient parallel data processing.
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