Polymorphous computing applied to electronic nose architectures

The electronic nose (eNose) is applied to detect, monitor and identify a wide range of environmental organic, inorganic and biochemical vapors. Typically, airborne substances are made up of hundreds of different inorganic/organic or bio molecules. The molecules usually have properties that can be identified with different detection systems, such as gas chromatography and mass spectrometry. However, the systems are usually bulky, expensive and time consuming to be deployed portably. Recently, the growing application of polymorphous computing opened up the opportunity for the use of neural net and genetic algorithm development for electronic nose selectivity with critical information extraction methodology done in real-time. The additional use of Power Aware Computing (PAC) and Polymorphous Computing Architecture (PCA) enables the eNose to "Tailor" power through energy management at all levels of application/system for size, weight, power, scalability, complexity and temporal and functional reconfiguration constraints.