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    A support for signal compression in living environments: the Analog-to-Information Converter

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    In smart living environments many sensors are employed to improve the quality of daily life, collecting a variety of heterogeneous signals, characterized by different features. In order to save storage space and power consumption, a valid support for ambient assisted living may be provided by hardware architectures, to acquire while compressing the signals of interest: the Analog-to-Information Converters (AIC). This paper presents a LabVIEW implementation of the AIC based on the Random Demodulation principle. In particular, the phase of compression is designed through several LabVIEW building blocks, while the phase of reconstruction is implemented through a MATLAB script. The performed simulations show that, while performing the sub-sampling, the AIC can reconstruct correctly signals of interest for living environments

    A Mathematical Model for a Radon Detection Method Based on Carbon Nanotube Sensor

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    This article is proposing a mathematical model as a basis for radon detection by measurement alpha particle concentration with a carbon nanotubes-based sensor. The working principle at the basis of the mathematical model of the presented sensor is based on the fact that, the concentration of alpha particle in the air is a linear function of radon concentration. The collision between each alpha particle and the attachment of alpha particle to the carbon nanotube, changes the nanotube's own oscillation frequency. After activation, the carbon nanotubes oscillations in frequency depends on their own geometrical dimensions and their mechano-electrical properties. The initial oscillation frequencies spectra of the matrix of carbon nanotube with the same geometrical dimension is compared with the oscillation frequency spectra collected after the sensor is exposed to air sample. Based on their relative frequency variations of the recorded spectra, the radon concentration is evaluated. Radon concentration is determined on the bases of the linear relationship between its concentration and the alpha particles one. According to these theoretical assumptions, the use of carbon nanotubes sensor appears to be suitable for radon concentration measurement with the advantages to be a reusable and a low cost solution
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