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Accelerating the pace of engineering and science


 

Abstracts

Boost Your Productivity with MATLAB

In this session, researchers who use MATLAB will learn the latest tips and tricks to increase their productivity, and new users will be introduced to the MATLAB environment. We demonstrate how easy it is to access data from Microsoft Excel and text files. We show how to manipulate and statistically analyse data from a pharmaceutical experiment, then demonstrate how to document and automate this workflow. Finally we introduce Cody, a fun way to improve your MATLAB skills.

Highlights of the session include:

  • Accessing data from Excel and text files
  • Manipulating, visualising, and statistical analysis of pharmaceutical data
  • Automating data analysis and visualisation
  • Rapid generating documentation of your MATLAB code to aid collaboration
  • Improving your MATLAB skills with Cody

Accelerating Your Research with MATLAB

In this session, we show how you can perform large-scale computations in MATLAB and take advantage of high-performance computing resources such as multicore desktops, GPUs, clusters, grids, and clouds. We speed up the processing of medical images, use a GPU to rapidly price exotic financial options using a Monte Carlo method, and optimise cell phone coverage.

Highlights of the session include:

  • Parallel computing with multicore CPUs, GPUs, and clusters
  • Image processing using a medical example
  • Exotic option pricing on a GPU using a Monte Carlo method
  • Optimisation of cell phone coverage

Mathematical Modelling and Dynamic Simulation

How does a differential equation become a robot? Starting from underlying mathematical and physical principles, we discuss the iterative process of analysis, design, and optimization involved in the development and implementation of a LEGO MINDSTORMS Segway robot. We derive the equations of motion symbolically, use simulation models to design the control system, and build the complete system.

Highlights of the session include:

  • Building analytical models using symbolic maths
  • Graphical modelling and simulation with Simulink
  • Analysis and design of multidomain systems
  • System implementation onto a LEGO MINDSTORMS Segway robot

Hardware Connectivity with MATLAB and Simulink

How do I connect to and control my experimental hardware? Frequently in engineering, physics, and other sciences, data from experiments has to be analysed and manipulated. We use MATLAB to connect to hardware directly, acquire data from input/output devices, control laboratory instruments, and implement Simulink models in real time.

Highlights of the session include:

  • Data acquisition with MATLAB and Simulink
  • Signal processing
  • Instrument control with laboratory equipment
  • Rapid prototyping and hardware-in-the-loop