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About
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
Technical Specifications
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
Key Features
Indigenized remote control interface card suitable for MAFI system CCR equipment. Compatible for IDM8000 CCR. Backplane mounted serial and TCP/Ethernet communication module for CCR remote access. IDM 8000 CCR remote control on serial and TCP protocol.
• Remote control: Parallel or serial interface
• Compatible with MAFI CCR system
• Copatiable with IDM8000 CCR
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
Application
• Remote control: Parallel or serial interface.
• Compatible with MAFI CCR system.
• Compatible with IDM8000 CCR.
• Compatible with Backplane mount serial communication.
• Compatible with commercial and Defence aviation CCR system.
• Remote control system for accessing CCR and allied system over serial or TCP.
• Indigenized local Support/presence in India.
• Easy in configuration using DIP switches.
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Results Review of Microphone Prototype and LabView Detecting of Human Errors Algorithm
1. Results Review of Microphone
Prototype and LabView Detecting of
Human Errors Algorithm
Author: Minh Anh Nguyen
Colorado State University
School of Biomedical and Electrical Engineering
Email: minhanhnguyen@q.com
2. Outline of the review
• Update on tasks from the previous
meeting
• Microphone prototype
• LabView Results for detecting
methods/algorithms for audio files
3. Update on labView
• Need: Vision and Motion package to analyze the
images
• Issue:
–The Vision and Motion programming/function
package is missing or not available for the
Labview 2014 and NI myRio software
• This issue is resolved
4. Image test
• Simulation mode
– Make sure image files are loaded into the workspace
without any issues.
– Make sure a correct file is loaded
– Plot histogram of the image
– Verify that the histogram value is correct.
– Positive test: load two image files which have 2
different images and verify that the test results show
the difference.
– Negative test: load two image files which have 2
similar images and verify that the test results show
the same thing or match.
8. Audio test
• Simulation mode
– Make sure audio files are loaded into the workspace
without any issues.
– Plot and listen to audio files; make sure a correct file
is loaded.
– Verify that the FFT value is correct.
– Positive test: load two audio files which have 2
different signals and verify that the test results show
the difference.
– Negative test: load two audio files which have 2
similar signals and verify that the test result show the
same thing or match.