In this research, it has been studied the Fermi-Liquid density wave depending on
Landau theory. The kinetic equation has been solved using relaxation time approximation
at collision less condition. This is by expanding particle density function of
order Plus, Zero sound modes have been calculated and attenuation rate at low
temperatures.The results have been discussed and compared to the set ones and
the offered theory in this domain.
The principal objective of this research is an adoption of the Genetic
Algorithm (GA) for studying it firstly, and to stop over the operations which
are introduced from the genetic algorithm.The candidate field for applying
the operations of the g
enetic algorithm is the sound data compression field.
This research uses the operations of the genetic algorithm for the
enhancement of the performance of one of the popular compression method.
Vector Quantization (VQ) method is selected in this work. After studying
this method, new proposed algorithm for mixing the (GA) with this method
was constructed and then the required programs for testing this algorithm
was written. A good enhancement was recorded for the performance of the
(VQ) method when mixed with the (GA). The proposed algorithm was
tested by applying it on some sound data files. Some fidelity measures are
calculated to evaluate the performance of the new proposed algorithm.
The experiment was conducted during 1998 and 1999 seasons in the field of
the left bank of Euphrate river at the Ramadi town. The soil texture was sandy
loam and loam, using peanut (Arachis hypogaea L.) local variety (semi-erect).
The objective wa
s to investigate the optimum spacing between the rows (50, 75,
100 cm) and within the rows (20, 35, 50 cm), using factorial experiment within
randomized complete block design with three replications.
