Energy demand of application j, calculated as: S j = p j − i j ; where p j is the energy demand corresponding to sector j and i j is the amount of fossil fuel renewable sources can not replace.
S e: Energy demand of application i, calculated as: S e = p e − i e; where p e is the energy demand corresponding to sector e and i e. is the amount of fossil fuel renewable sources can not replace.
It is clear that, thse lower performance of BCA for cases (a), (b), (e) and (d) can be attributed to the fact that these sources do not fulfil the conditions for BCA, i.e. or they have not bounded support or the support of sources can not be written as the cartesian product of individual supports.
Therefore, the question whether the L-arginine decarboxylase pathway only provides polyamines and ammonium or also allows for utilization of L-arginine as C-source can not be answered on the basis of the bioinformatic considerations.
Of course, the possibility of air-borne dust containing particles of anthropogenic sources can not be excluded since mega-cities, such as Cairo, are commonly on the path of these events.
(3) For single source or incoherent sources, FDAS can not only accurately locate and quantify the source, but also significantly and efficiently attenuate sidelobes, effectively detect weak sources and acquire somewhat better spatial resolution.
The lower and excessive source ratio can not get well SEP value and only the appropriate source ratio can get the better SEP value.
We assume that the communication system is performed over frequency selective fading channels, in which the distance from the source node to the destination node is so far that the source node can not communicate with the destination node directly.
First of all, notice that baseline results are much lower than in the DMN case because in this configuration different source orientations can not be processed in an effective way due to the limited spatial extent of the microphone array.
These results indicate that AutoTL performs better when the number is around 10. When the number of selected web pages is too small or too large, the performance decreases, which is in accordance to the fact that when the number of selected web pages is too small, the source data can not get enough feature information in the training which may decrease the performance.
