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Abstract Submission:
      May 31st, 2011
      June 30th, 2011

Paper Submission:
      June 30th, 2011
      July 31st, 2011

Paper Submission:
     September 15th, 2011
     October 15th, 2011

Paper Acceptance:
     October 15st, 2011
     November 15th, 2011

Participation Application:
     November 1st, 2011

   

 

 

Control engineering is the science of manipulating engineering systems for optimal performance in real-operating environments. Control engineers are concerned with mathematical modeling, simulation, design and implementation. The field is, therefore, multi-disciplinary and covers a range of technologies. Control systems are seen at work in small and simple household appliances, large-scale industrial plants such as steel rolling mills and refineries, very sophisticated and complex systems such as aircraft, nuclear reactors and satellites. Control systems technology has thus driven the engineers to operate their systems at the peak of their performance without compromising on system stability or integrity. Furthermore, new developments in simulation techniques have helped in the application of innovative control algorithms. The advent of cheap but high performance microprocessors has added a new dimension to the capability of control systems. Efficient digital controllers have alleviated the need for expensive instrumentation and costly components, contributing towards cheaper but quality products and performance.

 The importance of Signal Processing in the engineering domain cannot be over emphasized. With new generation computer technology and configurable integrated circuits, powerful algorithms can be implemented in real time and used in various contemporary fields such as telecommunications, image, video and audio processing, sonars, biomedicine, seismology and computer vision.

 In this conference; technical papers are sought on the latest developments in control and signal processing technologies. Papers of interest include those that describe theory, analytical techniques, applications, and technological developments. Topics expected to be covered in this activity are:

 

 

Control
 

>   Control Theory Analysis and Design
>   Intelligent Control & Autonomous Control
>   Multi-sensor Data Fusion, Tracking and Control
>   Autonomous and Unmanned Systems
>   Aerospace Guidance and Control
>   Mission Control and Operations
>   Diagnostics and Fault-Tolerant Control Systems Design
>   Simulation as an Engineering Design Tool
>   Distributed Simulation Technologies
>   Hardware in the Loop Simulation
>   Launch and Orbital Systems and Simulation
>   Artificial Intelligence Simulation Techniques and Applications
>   Monte Carlo Simulation Techniques and Applications
>   Self-Organizing Adaptive Simulations
>   Unmanned Aerial Vehicle Systems
>   Training and Motion Simulators

 

Signal Processing
 

›   DSP Algorithms
›   Image and Multi-dimensional (video) Signal Processing
›   Pattern Recognition
›   Computer/Machine Vision
›   Neural Networks
›   Process Monitoring
›   Statistical Signal Processing
›   DSP on Generic Reconfigurable Fabric (e.g. FPGA)
›   Efficient Implementation of DSP Algorithms on Embedded Systems
›   ASIC Implementation of DSP Algorithms
›   Real time Operating Systems issues regarding DSP Algorithms

 
 
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