Al-Khwarizmi Engineering Journal

The combination of wavelet theory and neural networks has lead to the development of
wavelet networks. Wavelet networks are feed-forward neural networks using wavelets as
activation function. Wavelets networks have been used in classification and identification
problems with some success.
In this work we proposed a fuzzy wavenet network (FWN), which learns by common
back-propagation algorithm to classify medical images. The library of medical image has
been analyzed, first. Second, Two experimental tables’ rules provide an excellent
opportunity to test the ability of fuzzy wavenet network due to the high level of information
variability often experienced with this type of images.
We have known that the wavelet transformation is more accurate in small dimension
problem. But image processing is large dimension problem then we used neural network.
Results are presented on the application on the three layer fuzzy wavenet to vision system.
They demonstrate a considerable improvement in performance by proposed two table’s rule
for fuzzy and deterministic dilation and translation in wavelet transformation techniques.

This paper presents a study of wavelet self-organizing maps (WSOM) for face
recognition. The WSOM is a feed forward network that estimates optimized wavelet
based for the discrete wavelet transform (DWT) on the basis of the distribution of the
input data, where wavelet basis transforms are used as activation function.

The Field Programmable Gate Array (FPGA) approach is the most recent
category, which takes the place in the implementation of most of the Digital Signal
Processing (DSP) applications. It had proved the capability to handle such problems and
supports all the necessary needs like scalability, speed, size, cost, and efficiency.
In this paper a new proposed circuit design is implemented for the evaluation of
the coefficients of the two-dimensional Wavelet Transform (WT) and Wavelet Packet
Transform (WPT) using FPGA is provided.
In this implementation the evaluations of the WT & WPT coefficients are
depending upon filter tree decomposition using the 2-D discrete convolution algorithm.
This implementation was achieved using an FPGA Kit after building the logical circuits
on the specified kit that uses the Spartan-IIE electronic library type implemented using
the Xilinx Foundation Series 2.1I software.

The problem of independent motion control of mobile robot (МR) in conditions when unforeseen
changes of conditions of interaction of wheels with a surface are considered. An example of such
changes can be sudden entrance МR a slippery surface. The deployment of an autonomous
unmanned ground vehicle for field applications provides the means by which the risk to
personnel can be minimized and operational capabilities improved. In rough terrain, it is critical
for mobile robots to maintain good wheel traction. Wheel slip could cause the rover to lose
control and become trapped. This paper describes the application of fuzzy control to a feedback
system within slippery environment. The study is conducted on an example of МR with two
driving wheels.

A New developed technique to estimate the necessary six elastic constants of
homogeneous laminate of special orthotropic properties are presented in this paper for
the first time. The new approach utilizes the elasto-static deflection behavior of
composite cantilever beam employing the famous theory of Timoshenko. Three
extracted strips of the composite plate are tested for measuring the bending deflection
at two locations. Each strip is associated to a preferred principal axis and the
deflection is measured in two orthogonal planes of the beam domain. A total of five
trails of testing is accomplished and the numerical results of the stiffness coefficients
are evaluated correctly under the contribution of the macromechanics and the
approximate bending theory. To insure the validity of the new approach, separate
individual tensile tests are performed, and the corresponding results are compared.
Excellent agreements are obtained between the different approaches. The ease, simple
and accurate predictions are well confident by the new technique.

In this paper, the system of the power plant has been investigated as a special type of
industrial systems, which has a significant role in improving societies since the electrical
energy has entered all kinds of industries, and it is considered as the artery of modern life.
The aim of this research is to construct a programming system, which could be used to
identify the most important failure modes that are occur in a steam type of power plants.
Also the effects and reasons of each failure mode could be analyzed through the usage of
this programming system reaching to the basic events (main reasons) that causing each
failure mode. The construction of this system for FMEA is depending on the logical
relationships of the fault tree analysis for the systems that contained in the power station.
The designing of such system could be used as an assistance tool for the specialist user
(the power engineer) in identifying of all reasons and effects for any type of failures. So
this is help to fastening the repairing operation of the identified failure mode to improve
the efficiency of operating system as represented by the maintainability, which is a
function of system reliability.
The selection of the steam type of power generation systems for the application of this
study, because this type is the most common type of Iraqi power plants. While such the
designed system could be programmed to be use in another types of industrial systems.

In the present work a dynamic analysis technique have been developed to
investigate and characterize the quantity of elastic module degradation of cracked
cantilever plates due to presence of a defect such as surface of internal crack under
free vibration. A new generalized technique represents the first step in developing a
health monitoring system, the effects of such defects on the modal frequencies has
been the main key quantifying the elasticity modulii due to presence any type of unvisible
defect. In this paper the finite element method has been used to determine the
free vibration characteristics for cracked cantilever plate (internal flaws), this present
work achieved by different position of crack. Stiffness reduction in term of elastic
material properties is analyzed through a parametric study of crack density factor.
Results are given for Young’s modulus and shear modulus variation with respects the
vibrational characteristics.

The high cost of chemical analysis of water has necessitated various researches into finding
alternative method of determining portable water quality. This paper is aimed at modelling the
turbidity value as a water quality parameter. Mathematical models for turbidity removal were
developed based on the relationships between water turbidity and other water criteria. Results
showed that the turbidity of water is the cumulative effect of the individual parameters/factors
affecting the system. A model equation for the evaluation and prediction of a clarifier’s performance
was developed:
Model: T = T0(-1.36729 + 0.037101∙10λpH + 0.048928t + 0.00741387∙alk)
The developed model will aid the predictive assessment of water treatment plant performance.
The limitations of the models are as a result of insufficient variable considered during the
conceptualization.