A new algorithm is proposed to compress speech signals using wavelet transform and linear predictive coding. Signal compression based on the concept of selecting a small number of approximation coefficients after they are compressed by the wavelet decomposition (Haar and db4) at a suitable chosen level and ignored details coefficients, and then approximation coefficients are windowed by a rectangular window and fed to the linear predictor. Levinson Durbin algorithm is used to compute LP coefficients, reflection coefficients and predictor error. The compress files contain LP coefficients and previous sample. These files are very small in size compared to the size of the original signals. Compression ratio is calculated from the size of th

The increase in the Iraqi population put pressure on urban cities as there were no new cities built since the 1980s due to the wars and the economic blockade imposed in 1991 and the deteriorating security situation after 2003, where the population in 2018 reached about forty million people. Iraq also suffered during the past decades from problems and challenges in many respects that affected the local environment, and the constructed buildings had a role in increasing these impacts, so the Ministry of Housing worked to issue the Iraqi Green Architecture Code in 2019 to reduce damage to the environment and use resources more efficiently. And because the constructed buildings were not constructed according to green standards, including Bas

      In this paper we study and design two feed forward neural networks. The first approach uses radial basis function network and second approach uses wavelet basis function network to approximate the mapping from the input to the output space. The trained networks are then used in an conjugate gradient algorithm to estimate the output. These neural networks are then applied to solve differential equation. Results of applying these algorithms to several examples are presented

     In this paper , certain subclass of harmonic multivalent function defined in the exterior of the unit disk by used generalize hypergeometric functions is introduced . In This study an attempting have been made to investigate several geometric properties such as coefficient property , growth bounds , extreme points , convolution property , and  convex linear combination .

We presented in this paper a new class containing analytic univalent functions defined on unit disk. We obtained many geometric properties , like , coefficient inequality , distortion and growth theorems, convolution property, convex set, arithmetic mean and radius of starlikness and convexity by using Gaussian hypergeometric function for the class

The issue of human rights has become an international obligation of States, and the mere recognition of these rights by States, no matter how clear and precise, does not constitute a guarantee in itself. The state shall assume its status to respect human rights and fundamental freedoms. The national protection mechanisms are diverse. They are either constitutional, judicial or political. Human rights in Iraq, as each institution or body to be able to exercise its powers, must be based on a legislative basis, whether legal or constitutional basis, In order to achieve its goal of promoting and protecting human rights.

In this paper we define a signal soft set as a mathematical tool to represent and study atoms, anti-atoms, electrons, anti-electrons, protons, and anti-protons, and generate a signal soft topology, with an example of signal soft topology on H₂O.

Most young children provoke negative reactions from parentral interference. These reactions worsen child's behavior. Starting a harmful pattern leading to emergence of an aggressive behavior. A cross sectional study was carried out in Al-Sadr city, Baghdad.  The target population was represented by all students attending governmental secondary schools, who are resident in Al-Sadr city aged between 13 and 21 year. The data collected by self-reported questionnaire (Aggression—Problem Behavior Frequency Scale)^. A total of 720 students contributed in this study. Out of the total, there were 257 (35.7%) students raised by illiterate mothers. Out of those, there were 241 (93.8%) students reported aggressive behavior.