The method of powder technology has been utilized in fabrication of machinable
ceramics by the approach of glass-ceramic principles. The crystalline ceramic phases
partially dissolved by host glass while the undissolved part remain responsible for the
machinability by the usual cutting tools. Thus avoiding the unnecessary use of special
dies to cast fully melted composition and initiate recrystallization process. Two types of
machinable ceramics have been successfully prepared, the first with high silica content
and the other with high alumina content. A comparison of their properties and discussed.

Many objective optimizations (MaOO) algorithms that intends to solve problems with many objectives (MaOP) (i.e., the problem with more than three objectives) are widely used in various areas such as industrial manufacturing, transportation, sustainability, and even in the medical sector.  Various approaches of MaOO algorithms are available and employed to handle different MaOP cases. In contrast, the performance of the MaOO algorithms assesses based on the balance between the convergence and diversity of the non-dominated solutions measured using different evaluation criteria of the quality performance indicators. Although many evaluation criteria are available, yet most of the evaluation and benchmarking of the MaOO with state-of-art a

في هذا البحث نحاول تسليط الضوء على إحدى طرائق تقدير المعلمات الهيكلية لنماذج المعادلات الآنية الخطية والتي تزودنا بتقديرات متسقة تختلف أحيانا عن تلك التي نحصل عليها من أساليب الطرائق التقليدية الأخرى وفق الصيغة العامة لمقدرات K-CLASS. وهذه الطريقة تعرف بطريقة الإمكان الأعظم محدودة المعلومات" LIML" أو طريقة نسبة التباين الصغرى" LVR" والتي تمثل حسب الصيغة (14.2) الوجه الآخر لطريقة الLIML والتي تشتهر في تقدير معلمات معادل

يهدف البحث الى تعريف البنية الحضرية وخصائصها التركيبية وايجاد علاقة بين التركيب الفضائي للبنية الحضرية والسلوك الفضائي للافراد حيث عند تغير الخصائص التركيبية الشمولية او الموضعية للبنية الحضرية ستؤثر على ادراك الفرد للفضاء الحضري ومن ثم تغير سلوكه فيه، وتم اختيار منطقة الدراسة شارع المنصور الرئيسي (شارع مول المنصور) وذلك لما فيه من تغيرات قد حصلت في بنيته الحضرية اثرت على خصائص الشارع التركيبية وما اث

   This study includes Estimating scale parameter, location parameter  and reliability function  for Extreme Value (EXV) distribution by two methods, namely: -
- Maximum Likelihood Method (MLE).
- Probability Weighted Moments Method (PWM).

 Used simulations to generate the required samples to estimate the parameters and reliability function of different sizes(n=10,25,50,100) , and give real values for the parameters are and , replicate the simulation experiments (R_P=1000)

         The availability of statistical data plays an important role in planning process. The importance of this research which deals with safety of statistical data from errors and outliers values. The Objective of this study is to determine the outlier values in statistical data by using modern exploratory data methods and comparing them with parametric methods. The research has been divided into four chapters ,the main important conclusions reached are:1-The exploratory methods and the parametric methods showed variation between them in determining the outlier values in the data.

2-The study showed that the box plot method was the best method used in determining

  The great scientific progress has led to widespread Information as information accumulates in large databases is important in trying to revise and compile this vast amount of data and, where its purpose to extract hidden information or classified data under their relations with each other in order to take advantage of them for technical purposes.

      And work with data mining (DM) is appropriate in this area because of the importance of research in the (K-Means) algorithm for clustering data in fact applied with effect can be observed in variables by changing the sample size (n) and the number of clusters (K)

planning is among the most significant in the field of robotics research.  As it is linked to finding a safe and efficient route in a cluttered environment for wheeled mobile robots and is considered a significant prerequisite for any such mobile robot project to be a success. This paper proposes the optimal path planning of the wheeled mobile robot with collision avoidance by using an algorithm called grey wolf optimization (GWO) as a method for finding the shortest and safe. The research goals in this study for identify the best path while taking into account the effect of the number of obstacles and design parameters on performance for the algorithm to find the best path. The simulations are run in the MATLAB environment to test the

استعمال خوارزمية سرب الطيور لحل نماذج صفوف الانتظار مع تطبيق عملي