Rate of penetration plays a vital role in field development process because the drilling operation is expensive and include the cost of equipment and materials used during the penetration of rock and efforts of the crew in order to complete the well without major problems. It’s important to finish the well as soon as possible to reduce the expenditures. So, knowing the rate of penetration in the area that is going to be drilled will help in speculation of the cost and that will lead to optimize drilling outgoings. In this research, an intelligent model was built using artificial intelligence to achieve this goal.  The model was built using adaptive neuro fuzzy inference system to predict the rate of penetration in

An attempt was made to evaluate the PV performance of one-axis daily tracking and fixed system for Baghdad, Iraq. Two experimental simulations were conducted on a PV module for that purpose. Measurements included incident solar radiation, load voltage and load current. The first experiment was carried out for six months of winter half of year to simulate the one-axis daily tracking. The azimuth angle was due south while the tilt angle was being set to optimum according to each day of simulation. The second experiment was done at one day to simulate the PV module of fixed angles. It is found that there is a significant power gain of 29.6% for the tracking system in respect to the fixed one. The one-axis daily tracking was much more effect

     The importance of international treaties reside at the present time in regulating a several issues within the internal scope of the state, and that after it was monopolized by the internal legal system of the latter, besides this the three authorities of the state assume the task of implementing the obligations imposed by international treaties on the states party to them.

      Therefore, we will expose in this study the mechanism used by the Iraqi state in incorporation the international obligations into the Iraqi internal legal system under the successive constitutions from the establishment of the Iraqi state until the issuance of the constitution (2005) in effect, as Iraq fol

In this article we derive two reliability mathematical expressions of two kinds of s-out of -k stress-strength model systems; and . Both stress and strength are assumed to have an Inverse Lomax distribution with unknown shape parameters and a common known scale parameter. The increase and decrease in the real values of the two reliabilities are studied according to the increase and decrease in the distribution parameters. Two estimation methods are used to estimate the distribution parameters and the reliabilities, which are Maximum Likelihood and Regression. A comparison is made between the estimators based on a simulation study by the mean squared error criteria, which revealed that the maximum likelihood estimator works the best.

     The present research aims to measure concentration of lead  Pb214 in soil using remote sensing and GIS, associated radiological hazards in Baghdad, Iraq. Concentration of specific radioactivity of radioactive elements was measured and analyzed naturally and artificially in 48 soil samples for separate sites from Baghdad, Iraq using crystalline spectroscopy to detect germanium. The average radioactivity concentrations of lead were found, as it was found to have varying values ​​from one site to another, as most of them exceeded the international permissible limit, as the highest concentration was recorded at 180 Bq in the sample H28 in Waziriyah district. Battery Lab (1), and the lowest concentration valu

With the proliferation of both Internet access and data traffic, recent breaches have brought into sharp focus the need for Network Intrusion Detection Systems (NIDS) to protect networks from more complex cyberattacks. To differentiate between normal network processes and possible attacks, Intrusion Detection Systems (IDS) often employ pattern recognition and data mining techniques. Network and host system intrusions, assaults, and policy violations can be automatically detected and classified by an Intrusion Detection System (IDS). Using Python Scikit-Learn the results of this study show that Machine Learning (ML) techniques like Decision Tree (DT), Naïve Bayes (NB), and K-Nearest Neighbor (KNN) can enhance the effectiveness of an Intrusi

     In this paper we prove that the planar self-assembling micelle system

 has no Liouvillian, polynomial and Darboux first integrals. Moreover, we show that the system

has only one irreducible Darboux polynomial  with the cofactor being   if and only if  via  the weight homogeneous polynomials and  only two irreducible exponential factors  and  with  cofactors    and   respectively with be the unique Darbox invariant of system.

Purification of fifteen NaCl samples from natural and different area in the middle and south of Iraq are prepared  and studied the structural characteristics of samples by powder X-ray diffraction analysis at 𝛌=1.542Ã…. The present work considered the specific activities of naturally occurring radioactive materials in salt samples, which are measured and analyzed using high resolution HPGe system. Also, the radiological parameters have been considered in this work. The average specific concentration (in Bq.kg^-1) of the salt samples is found 16.864.92 for ²²⁶Ra, 5.972.05 for ²³²Th and 9.852.8 for ⁴⁰K, respectively, which are below the national levels, 40Bq.kg^-1, 30Bq.k

Background: Angioplasty and stenting; Percutaneous coronary intervention (PCI) has become important tool of Reascularizing patients with stable angina and Acute ST-Elevation Myocardial Infarction, while their role in Non ST-elevation Acute coronary syndrome is expanding.

Objestives: The aim was to study the outcome of complete and incomplete Revascularization, by PCI, of pts with NSTE-ACS, and the effect of the traditional risk factors and their relation to the number of stents.

Patients and Methods:- After stabilization 115 out of 142 consecutive hospital admissions with Non St-Elevation Acute Coronary Syndrome were revascularized Percutanously. 

Re

This Book is intended to be textbook studied for undergraduate course in multivariate analysis. This book is designed to be used in semester system. In order to achieve the goals of the book, it is divided into the following chapters. Chapter One introduces matrix algebra. Chapter Two devotes to Linear Equation System Solution with quadratic forms, Characteristic roots & vectors. Chapter Three discusses Partitioned Matrices and how to get Inverse, Jacobi and Hessian matrices. Chapter Four deals with Multivariate Normal Distribution (MVN). Chapter Five concern with Joint, Marginal and Conditional Normal Distribution, independency and correlations. Many solved examples are intended in this book, in addition to a variety of unsolved relied pro