Our prior publications from this project described the value, strategies for implementation, and barriers encountered during bedside rounds [ 22, 23, 28].
This procedure applies the RST to extract IF-Then rules from the linguistic land degradation datasets, and to refine the extracted rules through remove the rules with low support value for FRBIS implementation.
The decision problem in this case is the ex-ante assessment of the suitability of various financing mechanisms for urban transportation infrastructure which belong to the value capture family, for implementation in Greece, a country with no previous experience with VCF tools for this purpose.
The study design and methods used in this work are described in prior publications; the a priori research questions investigated in this work were distinct from the other publications, which related to: (1) the value, (2) strategies for implementation, and, (3) barriers encountered during bedside rounds [ 22, 23, 28].
Table 2 Preferred parameter values for the implementation of the reference noise power spectral density estimation Parameter Value c max 100 c min 0 t inc 1.2 s T frame 8 ms. For evaluation purposes, a measurement database has been recorded in an Audi A6 with four distributed speaker-dedicated microphones.
The preferred values for the implementation are L FIR=3 and α=0.3.
We have also plotted the BER as defined by (14) using different values for the implementation loss.
These direct methods have the advantage of being independent from the prior knowledge of the PV array configuration and parameter values for their implementation.
Table 1 Preferred parameter values for the implementation of the signal enhancement part Parameter Value γ a 0.8 Y ̆ ref 0.5 γ WF1 20 γ WF2 2 β 0.25 β min 0.3 β max 3.6 γ inc K 1.05 γ dec K 0.95.
Specifically, indicates the value of obtained with a direct implementation of the DCT, while indicates the corresponding value for a fast implementation of DCT.
