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Ben-Shimol et al. proposed in [12] to allocate the resources following a "raster approach" to fit the resources into a rectangular shaped burst such that the resources are allocated first in frequency direction and later in time direction (see Figure 1).
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In this paper such an accessibility model is developed, using a raster-based approach in a Geographical Information System GISS).
When direct imaging is not possible due to various limitations, for example poor signal strength or lack of appropriate optics or detectors, surface mapping is still possible, via raster scanning approaches and this is the case, for example, with Raman, FT-IR or XRF imaging.
In the example presented in Section 3 the model implemented uses a raster-based approach.
The combination of a raster-scanning approach with a pulsed laser excitation reduces background and allows for depth probing.
In this study, I employ a raster based GIS approach using a continuous non-site distribution of fluted biface distributions across a twenty-nine county (46,000 km2) study area of northern Illinois.
Differently from traditional methods based on raster scan, CS approach allows to reconstruct the image of interest through a reduced number of measurements, with a notable reduction of the time of investigation.
We demonstrate that the pedogenic understanding raster classification (PURC) approach can be transferred to a new soil survey project area and that classification tree analysis is a viable alternative to a knowledge-based decision tree for predicting the distribution of soil classes.
With a raster-based GIS approach, this particular application is the highest resolution spatial representation of the KDI ever undertaken.
The raster-based density approach was developed to address these intra-TAZ influences.
In the proposed approach, triangular raster scan is composed as a Fourier series by individually adjusting the complex Fourier coefficients for each actuator.
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