Sentence examples for sensing model based on from inspiring English sources

Thus, this paper establishes the general sensing model based on ED.

For example, in [6], a spectrum sensing model based on Markov chain was proposed to predict the spectrum hole for CR in M2M network, and the theoretical analysis and simulation results were evaluated that a Markov model with two states or four states works well enough in wireless Internet of things (IoT) whereas a model with more states was not necessary.

The expectation may have a format of S-representation in Cummins's (1996) sense, which means it is a model based on structural similarity relationships, and one can decide the format of the representation by inquiring the way the expectation is evaluated in the animal.

This has important implications for the probability of developing a soil erosion risk model based on remotely sensed data, because in this environment, charred soil landscapes will have lost some of their naturally highly water repellent behaviour during burning, which in turn alters their susceptibility to overland flow development and surface wash erosion.

The objective of this study was to estimate the distribution of tsetse flies using a regression model based on remotely sensed data and climate data.

We tested whether and to what extent a remote sensing net primary productivity (NPP) estimation model based on the moderate resolution imaging spectroradiometer (MODIS) data and GIS modelled shortwave radiation can be used to estimate NPP in a Southern African Savanna landscape.

This paper considers spectrum utilization, the probability of detection in cognitive radio (CR) model based on cooperative spectrum sensing with both simultaneous adaptive sensing and transmission at a transmitting secondary user (TSU), and the bit error rate (BER) detection with variation checking at a receiving user (RS U.

A new model based on remote sensing data could help zero in on where water managers can replenish aquifers by flooding fields.

A simulation model based on remote sensing data for spatial vegetation properties has been used to estimate ecosystem carbon fluxes across Yellowstone National Park (YNP).

Using a model based on satellite remote sensing we were able to assign exposure to all subjects, regardless of the distance between a participant's residence and the closest PM2.5 monitor.

These time series were calculated daily according to the Brazilian Biomass Burning Emission Model – CPTEC (3BEM model), based on hotspots identified by remote sensing.