This paper presents a robust control method for the trajectory control of the robotic manipulator. The standard Computed Torque Control (CTC) is an important method in the robotic control systems but its not robust to system uncertainty and external disturbance. The proposed method overcome the system uncertainty and external disturbance problems. In this paper, a robustification term has been added to the standard CTC. The stability of the proposed control method is approved by the Lyapunov stability theorem.  The performance of the presented controller is tested by MATLAB-Simulink environment and is compared with different control methods to illustrate its robustness and performance.

NH₃ gas sensor was fabricated based on deposited of Functionalized Multi-Walled Carbon Nanotubes (MWCNTs-OH) suspension on filter paper substrates using suspension filtration method. The structural, morphological and optical properties of the MWCNTs film were characterized by XRD, AFM and FTIR techniques. XRD measurement confirmed that the structure of MWCNTs is not affected by the preparation method. The AFM images reflected highly ordered network in the form of a mat. The functional groups and types of bonding have appeared in the FTIR spectra. The fingerprint (C-C stretch) of MWCNTs appears in 1365 cm^-1, and the backbone of CNTs observed at 1645 cm^-1. A homemade sensi

<p><span>A Botnet is one of many attacks that can execute malicious tasks and develop continuously. Therefore, current research introduces a comparison framework, called BotDetectorFW, with classification and complexity improvements for the detection of Botnet attack using CICIDS2017 dataset. It is a free online dataset consist of several attacks with high-dimensions features. The process of feature selection is a significant step to obtain the least features by eliminating irrelated features and consequently reduces the detection time. This process implemented inside BotDetectorFW using two steps; data clustering and five distance measure formulas (cosine, dice, driver &amp; kroeber, overlap, and pearson correlation

This paper presents a computer simulation model of a thermally activated roof (TAR) to cool a room using cool water from a wet cooling tower. Modeling was achieved using a simplified 1-D resistance-capacitance thermal network (RC model) for an infinite slab. Heat transfer from the cooling pipe network was treated as 2-D heat flow. Only a limited number of nodes were required to obtain reliable results. The use of 6^th order RC-thermal model produced a set of ordinary differential equations that were solved using MATLAB - R2012a. The computer program was written to cover all possible initial conditions, material properties, TAR system geometry and hourly solar radiation. The cool water supply was considered time

In linear regression, an outlier is an observation with large residual.  In other words, it is an observation whose dependent-variable value is unusual given its values on the predictor variables. An outlier observation may indicate a data entry error or other problem.

An observation with an extreme value on a predictor variable is a point with high leverage. Leverage is a measure of how far an independent variable deviates from its mean. These leverage points can have an effect on the estimate of regression coefficients.

Robust estimation for regression parameters deals with cases that have very high leverage, and cases that are outliers. Robust estimation is essentially a

 The Problem of the research  is Limited with the ambguity of environmental work Characterstics role and among them the natural Working Conditions: Temproture, Lighting, Noise, Colours,and Smells, in the Decisions that rule the Planning and Designing work of the industrial Location and it 's targets are Limited with discovering the effect of environmental work Characterstics in planning and designing the industrial Companies and to reach to the most important properties that distinguish the industrial Location Within the frame of dealing with the nature Conditions in the dry, hot regions and the dfining of the relationship between them on the assumption that the Characterstics of environmental work have agreat effect in

تناول المقال موضوع استثمار الذكاء الاصطناعي في تحليل البيانات الضخمة داخل المؤسسات العلمية، وركز على توضيح أهمية هذا التكامل في تعزيز الأداء الأكاديمي والبحثي. استعرضت المقالة تعريفات كل من الذكاء الاصطناعي والبيانات الضخمة، وأنواع البيانات داخل المؤسسات العلمية، ثم بينت أبرز التطبيقات العملية مثل التنبؤ بأداء الطلبة، والإرشاد الذكي، وتحليل سلوك المستخدمين، والفهرسة التلقائية. كما ناقشت المقالة التحدي

تشهد الساحة الاعلامية في وقتنا الحاضر تطورات سريعة وبشكل متزايد سواء في طريقة صناعة الرسالة الاعلامية او اسلوب تقديمها وعرضها ،وفي ظل تعدد وتنوع وسائل الاعلام الجديد والزخم الاعلامي الذي يتعرض له المستخدم فيجد نفسه وسط كم هائل من الاخبار متعددة المصادر والاشكال ، فكيف له ان يميز بين المعلومة الصادقة والزائفة ؟ ومادرجة ثقته بتلك المعلومات والمواقع الالكترونية ؟ ويهدف البحث الى الكشف عن مدى توفر عناصر صناعة

تولي المجتمعات المتقدمة اجتماعياً واقتصاديا وثقافيا وعلميا اهتماما بارزا للعنصر البشري واستثماره على أفضل صورة ممكنة لتحقيق التقدم والرفاهية لتلك المجتمعات وللأفراد على حد سواء , وتحتل تنمية الثروة العقلية واستثمارها محل الصدارة حيث يبذل اهتمام خاص للكشف عن المواهب والكفاءات المبدعة وتنميتها وتوجيهها ورعايتها علميا وتربويا ومهنيا وذلك لان العنصر البشري يعد جزءا لا يتجزأ من الثروة القومية للأمة حيث