In this paper, we present an algorithm to generate and distribute Z users in Z virtual zones. In3G networks we have dynamic capacity that depends on the interference levels in the covered areaand the number of active users. This implies that the distance of the mobile user from the basestation is also an important factor because of the signal fading. An algorithm is presented basedon the queuing traffic models for 3G cell written in c++ programming language that distributesusers in different zones assuming that the cell area is virtually divided into Z zones depending onthe number of users (1) (PDF) An algorithm for distributing users in virtual zones in a 3g cellular network. Available from: https://www.researchgate.net/publication/317949812_An_algorithm_for_distributing_users_in_virtual_zones_in_a_3g_cellular_network [accessed May 17 2022].
w. s. abughres, mikee. woodward(10-2006)

تقدم هذه الأطروحة برنامج حاسوبي تفاعلي لتصميم خطوط النقل الكهربائي ثلاثية الأطوار باستخدام MATLAB. يمكن استخدام هذا البرنامج كوسيلة تعليمية داخل وخارج الفصل الدراسي لشرح أساسيات و ضواهر خطوط النقل الكهربائي.تتناول اغلب الكتب المرجعية المتاحة حاليا لمحتويات خطوط النقل التصميم الكهربائي فقط ولهذا السبب فان اغلب طلاب هندسة القوى الكهربائية يتخرجون من الجامعة وبدون دراية كافية عن الجزء المتعلق بالتصميم الميكانيكي والمتمثل في حسابات ارتخاء الخط والشد على الأبراج وزيادة وزن الموصلات نتيجة لتجمع الثلوج أو زيادة سرعة الرياح وتغير كل من ذلك مع درجات حرارة الجو. كما أن هذا البرنامج مزود ببعض البرامج الإضافية الأخرى والمتمثلة في حسابات قيم سعات ومتحاثات خطوط النقل أخدا في الاعتبار السلك الأرضي. كما أن هذا البرنامج يمكن استخدامه لمعرفة المعاوقات والسعات التسلسلية ( الصفرية والموجبة).وقد تم تزويد هدا البرنامج بقاعدة بيانات تحتوى على مواصفات شاملة للعديد من الموصلات المستخدمة في خطوط النقل الكهربائي.كما أن هذا البرنامج يمكن استخدامه لحسابات شدة المجال الكهربائي حول الموصلات وبالقرب من الأرض. Abstract This thesis presents an interactive computer program for three phase overhead transmission line design using MATALB. This program can be used as a self learning tool to understand the course material offered in class and to enhance students understanding to the three phase transmission line subject. This first course is normally given as a core course to all electrical engineering students. Most of the existing text books in power system analysis nowadays cover the Electrical line design only and describe the line performance very efficiently with very few power text books which treat the mechanical line design part. Therefore electrical engineering students with power engineering major are often graduated from school without having sufficient background concerning the mechanical line design features such as; line sag, the mechanical tension at the tower and the conductor sag due to temperature variations or line loading, conductor thermal limit ….etc. The program is also equipped with an additional feature to compute the line sequence impedances and the line sequence capacitances. Other line features are also provided in this package such as ; thermal limit line calculation, line voltage stability phenomena and the electrical field calculation due to transmission line. Therefore using this program the students will then be able to compute the line sequence parameters for both the single circuit as well as the double circuit tower configuration, with and without ground wire. The package has been also provided with a built in data base library to most of the available power line conductors. Therefore power engineering students will then be able to understand the transmission line course contents in more depth and to use the other supporting program modules as a self learning tool for line design and line modeling performance.
.سالم مسعود الكردي (2010)

Free space optical (FSO) communication is a promising solution to deliver the last mile communication and to guarantee a high data rate. However, the performance of FSO links can be significantly degraded by adverse weather conditions. Recently, machine learning algorithms (MLAs) have emerged for robust prediction to optimize the network performance. In this work, the Quality factor (Q) of FSO systems is estimated by means of four MLA models, namely, multi-linear regression, support vector regression, decision tree regression, and random forest regression. The synthetic data is used for training and testing these MLAs models, and several atmosphere conditions are considered with multiple transceivers FSO link system. The results of decision tree and random forest models demonstrated high coefficient of determination (R 2 ) and low mean square error (MSE) as compared to the other models.
Amal A. Algedir, Taissir Y. Elganimi(10-2020)