This short term course is intended to highlight the theoretical and practical aspects of the soft computing in the domain of signal and image processing. Soft computing refers to collection of methodologies, which aim to exploit tolerance for imprecision, uncertainty, approximation, partial truth, robustness, low solution cost and ease of implementation. Soft computing includes the technologies of fuzzy logic and neural networks. It is an effective tool for dealing with control, modeling, and decision making in pattern classifiers used in signal and image processing applications. The Course also promises proficient practice of above tools in MATLAB environment.
Capnography is a noninvasive method for monitoring the level of carbon dioxide in exhaled breath (EtCO2) to assess a patient’s ventilatory status. An inherent property of CO2 is to absorb infrared radiation at a very specific wavelength. Capnographs contain sensors that produce infrared sources of blackbody radiation at these wavelengths. These sensors enable the calculation of CO2 levels in a breath sample. Capnographs produce both waveforms and numeric values of the patient’s exhaled breath and are used to identify adverse ventilation events. This helps clinicians diagnose specific medical conditions, leading to important treatment decisions.
Epilepsy is a common neurological condition in which the normal electrochemical activity of the brain is disrupted resulting in seizures. The disease affects 1-2% of the worldwide population. According to Epilepsy Australia, it is estimated that over 180,000 Australians are living with epilepsy, approximately 2% of Australians will experience the condition at some point in their lives and up to 5% may experience a one-off epileptic seizure. Epilepsy is controlled, but not cured, by medication, and around 30% of sufferers do not respond well to medication.
Alan Jasanoff is designing imaging sensors that could help reveal the brain’s inner workings.
After finishing his PhD in molecular biophysics, Alan Jasanoff decided to veer away from that field and try looking into some of the biggest questions in neuroscience: How do we perceive things? What happens in our brains when we make decisions?
After a few months, however, he realized that he didn’t have the tools he wanted to use — so he decided to start making his own.
