The research included the preparation and characterization of the new 4-ethyl-3-thiocimecarbazide ligand; N1-(dimethylcarbamoyl)-N2-ethylhydrazine-1, 2-bis (carbo-thiomide)(L). Three transition metal complexes were isolated from the mixing of the title ligand with the metal ions of (Ni (II), Co (II), and Cu (II)). The reaction was performed by mixing metal ligand in a 1: 1 mole ratio using EtOH as the medium. The chemical formula of L complexes is presented as follows;[LNiCl2H2O],[LCoCl2H2O] and [LCuCl2H2O], The entity of the expected structure of the ligand and its metal complexes were illustrated through a range of physicochemical techniques. These include; FT-IR, electronic spectra, 1H-and 13C-NMR spectra, elemental analysis (CHNS), chloride content, metal content, melting point, molar conductivity and magnetic susceptibility measurements. The spectral and analytical analyses concluded the isolation of …
The main objective of this research is to find the coefficient of permeability (k) of the soil and especially clayey soil by finding the degree of consolidation (rate of consolidation). New modify procedure is proposed by using the odometer (consolidation) device. The ordinary conventional permeability test usually takes a long time by preparing and by testing and this could cause some problems especially if there is a need to do a large number of this test and there were a limited number of technicians and/or apparatus. From this point of view the importance of this research is clear, since the modified procedure will require a time of 25 minute only. Derivation made to produce an equation which could be used to fined the permeabi
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In this paper , an efficient new procedure is proposed to modify third –order iterative method obtained by Rostom and Fuad [Saeed. R. K. and Khthr. F.W. New third –order iterative method for solving nonlinear equations. J. Appl. Sci .7(2011): 916-921] , using three steps based on Newton equation , finite difference method and linear interpolation. Analysis of convergence is given to show the efficiency and the performance of the new method for solving nonlinear equations. The efficiency of the new method is demonstrated by numerical examples.
This paper proposes improving the structure of the neural controller based on the identification model for nonlinear systems. The goal of this work is to employ the structure of the Modified Elman Neural Network (MENN) model into the NARMA-L2 structure instead of Multi-Layer Perceptron (MLP) model in order to construct a new hybrid neural structure that can be used as an identifier model and a nonlinear controller for the SISO linear or nonlinear systems. Two learning algorithms are used to adjust the parameters weight of the hybrid neural structure with its serial-parallel configuration; the first one is supervised learning algorithm based Back Propagation Algorithm (BPA) and the second one is an intelligent algorithm n
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Strong and ∆-convergence for a two-step iteration process utilizing asymptotically nonexpansive and total asymptotically nonexpansive noneslf mappings in the CAT(0) spaces have been studied. As well, several strong convergence theorems under semi-compact and condition (M) have been proved. Our results improve and extend numerous familiar results from the existing literature.
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