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Ameriranikistan. Muhammad Ahmad Kyle Huston Farhad Majdeteimouri Dan Mackin. Project Overview. Uses Self Organizing Maps to Model Fiber Optic Cables in Matlab. Speckle Pattern is recorded in your typical webcam and then passed into Matlab.

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ameriranikistan

Ameriranikistan

Muhammad Ahmad

Kyle Huston

Farhad Majdeteimouri

Dan Mackin

project overview
Project Overview
  • Uses Self Organizing Maps to Model Fiber Optic Cables in Matlab.
  • Speckle Pattern is recorded in your typical webcam and then passed into Matlab.
  • We will use the Image Acquisition Toolbox, in Matlab, to analyze the speckle pattern.
  • The speckle pattern will change as the user taps on the fiber strand in various locations.
  • The Self-Organizing Map algorithm will learn the topology of the fiber.
synopsis
Synopsis
  • Laser light is shone through an optical fiber
  • Camera (CCD) receives the light on the other end
  • User taps random points on the fiber
  • Algorithm gradually learns to make a map of the fiber
  • Display shows the location of all touches going forward
system block diagram

System Block Diagram

Hardware

Laser

Multi-Mode Fiber

Camera

USB

Software

Display

Algorithm

hardware
Hardware
  • Optical Breadboard
  • Red Laser Diode
  • Focusing and Collimating Lenses
  • Mirrors
  • Multi-Mode Fiber
  • Camera (USB Web Cam or CCD Sensor)
  • Personal Computer
self organizing map som
Self Organizing Map (SOM)
  • Unsupervised Artificial Neural Network (ANN) Algorithm
  • Pattern Recognition
  • Cluster the Distribution of the Input Space
  • Reduce the dimensionality and visualize high dimensional data preserving the most significant features
  • Extract the underlying topology in the input (signal) space
software
Software

Matlab is our choice of software:

  • SOM is based on linear algebra
  • Efficient matrix and vector computations
  • Easy creation of scientific and engineering graphics
  • Extensibility (Tool Boxes)
  • I/O functions
division of labor
Division of Labor

Hardware/Calibration – Kyle, Dan

Image Processing – Muhammad, Farhad

SOM Algorithm – Farhad, Kyle

Display Routines – Dan, Muhammad

cost estimate
Cost Estimate

Optical Breadboard $700

Red Laser Diode $20

Focusing and collimating lenses $20

Multi-Mode Fiber $30

Camera (USB Web Cam) $80

Personal Computer N/A

Total $850

risk analysis
Risk analysis
  • The experimental nature of SOM could lead to delays in the project timeline
  • Any learning curve for the Matlab Image Acquisition Toolbox
  • Running the algorithm using a scripting language (Matlab) on a best effort OS (Windows) could prove costly
  • Hardware issues (e.g. Fiber breakage and calibration issues)
safeguards against risks
Safeguards against risks
  • Early Integration and Testing
  • Prototyping the SOM Algorithm
possible improvements
Possible Improvements
  • Automated fiber tapping mechanism for training the SOM algorithm
  • Optimizing the SOM
applications
Applications
  • Using multiple fibers to model the behavior of flexible structures in space
  • Animation development without any sensor dependencies
references
References
  • Self-Organizing Maps by T. Kohonen
  • Professor Dana Anderson in the physics department
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