Andere Kunden interessierten sich auch für
![Detection of Early Features of Cancer in Mammography]( "Detection of Early Features of Cancer in Mammography")
Detection of Early Features of Cancer in Mammography51,99 €![Finite-Volume Micromechanics of Heterogeneous Periodic Materials]( "Finite-Volume Micromechanics of Heterogeneous Periodic Materials")
Finite-Volume Micromechanics of Heterogeneous Periodic Materials38,99 €![Product variability analysis by geometrical hidden features]( "Product variability analysis by geometrical hidden features")
Product variability analysis by geometrical hidden features38,99 €![Rician-K Factor Study for Temporal and Spatial Variations]( "Rician-K Factor Study for Temporal and Spatial Variations")
Rician-K Factor Study for Temporal and Spatial Variations44,99 €![Auditory Features for Speech Recognition and Enhancement]( "Auditory Features for Speech Recognition and Enhancement")
Auditory Features for Speech Recognition and Enhancement44,99 €![Printed Periodic Waveguide Structures]( "Printed Periodic Waveguide Structures")
Printed Periodic Waveguide Structures38,99 €![DETECTION AND 3D RECONSTRUCTION OF URBAN FEATURES FROM AERIAL IMAGES]( "DETECTION AND 3D RECONSTRUCTION OF URBAN FEATURES FROM AERIAL IMAGES")
DETECTION AND 3D RECONSTRUCTION OF URBAN FEATURES FROM AERIAL IMAGES44,99 €
This study aims to identify and interpret
characteristic periodic variations in surface
features by analyzing measurements of water level,
conductivity, temperature, rainfall and barometric
pressure data. The measurements are filtered using an
adaptive wavelet based filter to extract the
influence of earth and gravity tides, rainfall, and
barometric pressure. Fourier analysis is used to
further examine the content of the extracted signals.
A system dynamics model of a spring is formulated to
demonstrate fundamental heat and mass transfer. This
study aims to provide an understanding of the effects
of periodic forcing functions on geothermal features
based on high accuracy measurements taken at high
sampling rates. Once the amplitude and frequency of
any forcing functions have been identified, these can
be monitored to minimise the time to identify and
quantify any changes in reservoir characteristics.
characteristic periodic variations in surface
features by analyzing measurements of water level,
conductivity, temperature, rainfall and barometric
pressure data. The measurements are filtered using an
adaptive wavelet based filter to extract the
influence of earth and gravity tides, rainfall, and
barometric pressure. Fourier analysis is used to
further examine the content of the extracted signals.
A system dynamics model of a spring is formulated to
demonstrate fundamental heat and mass transfer. This
study aims to provide an understanding of the effects
of periodic forcing functions on geothermal features
based on high accuracy measurements taken at high
sampling rates. Once the amplitude and frequency of
any forcing functions have been identified, these can
be monitored to minimise the time to identify and
quantify any changes in reservoir characteristics.