In this paper, a compact genetic algorithm (CGA) is enhanced by integrating its selection strategy with a steepest descent algorithm (SDA) as a local search method to give I-CGA-SDA. This system is an attempt to avoid the large CPU time and computational complexity of the standard genetic algorithm. Here, CGA dramatically reduces the number of bits required to store the population and has a faster convergence. Consequently, this integrated system is used to optimize the maximum likelihood function lnL(φ1, θ1) of the mixed model. Simulation results based on MSE were compared with those obtained from the SDA and showed that the hybrid genetic algorithm (HGA) and I-CGA-SDA can give a good estimator of (φ1, θ1) for the ARMA(1,1) model. Anot

  نالت الحياة الادبية في مملكة غرناطة الاندلسية حظاً كبيراً 

This paper investigates a new approach to the rapid control of an upper limb exoskeleton actuator. We used a mathematical model and motion measurements of a human arm to estimate joint torque as a means to control the exoskeleton’s actuator. The proposed arm model is based on a two-pendulum configuration and is used to obtain instantaneous joint torques which are then passed into control law to regulate the actuator torque. Nine subjects volunteered to take part in the experimental protocol, in which inertial measurement units (IMUs) and a digital goniometer were used to measure and estimate the torque profiles. To validate the control law, a Simscape model was developed to simulate the arm model and control law in which measurem

لا شك أن الموسيقى هي أقدر الفنون على خدمة الإنسان، وهي أرقى أنواع منشطات الحياة والصحة النفسية والعضوية، فالصحة النفسية والعضوية هي تناسق الشيء مع كل شيء الخلية مع الخلايا، والروح مع الأرواح، والإنسان مع الكون، كما تتناسق النغمة مع النغمات، والآلة مع الآلات .

إن موضوع العلاقات الحضارية بين المغرب و وادي الرافدين في عصر فجر التاريخ من المواضيع التي تعنى بإنتقال التأثيرات الحضارية العراقية إلى دول المغرب العربي عامة والمغرب خاصة . فقد إسترعى إنتباهي وجود إشارات مقتضبة أحيانا ومفصلة أحيانا أخرى عن تأثيرات في بعض الصناعات الفخارية والمعدنية والعمارة الدينية والدنيوية بين بلدان شرق البحر المتوسط والمغرب في

الادب في اللغة ملكة تقصي من قامت به عن كل ما يشبنه

او هو حسن الخلق وفعل المكارم

او الظرف وحسن التناول

او الالتزام لما يندب له الانسان⁽¹⁾ .

وقد كثر استخدام هذه اللفظة في التراث فقيل ادب الطبيب ، وادب الوزير، وادب القاضي ، وادب المائدة ، وادب الخط ، وادب المعلم والمتعلم ، وادب المعلم في نفسه وفي درسه ،وادب المتعلم مع استاذه وادب البحث والدرس.

   Increasingly, public organizations in the federal state are required to work together, as well as to work with others to achieve their objectives. In Iraq there are two levels of organizations, including federal and local, and these organizations have been forced to work for many years in an environment in which the responsibility for service delivery is shared between policy makers and service providers, and between local governments and the federal government. It is sometimes difficult to manage the relationship between these organizations (federal and local) and do not always provide the best possible outcome of this relationship. This paper reviews how to manage the relationship between local administrations and

In recent years, Bitcoin has become the most widely used blockchain platform in business and finance. The goal of this work is to find a viable prediction model that incorporates and perhaps improves on a combination of available models. Among the techniques utilized in this paper are exponential smoothing, ARIMA, artificial neural networks (ANNs) models, and prediction combination models. The study's most obvious discovery is that artificial intelligence models improve the results of compound prediction models. The second key discovery was that a strong combination forecasting model that responds to the multiple fluctuations that occur in the bitcoin time series and Error improvement should be used. Based on the results, the prediction acc

. In recent years, Bitcoin has become the most widely used blockchain platform in business and finance. The goal of this work is to find a viable prediction model that incorporates and perhaps improves on a combination of available models. Among the techniques utilized in this paper are exponential smoothing, ARIMA, artificial neural networks (ANNs) models, and prediction combination models. The study's most obvious discovery is that artificial intelligence models improve the results of compound prediction models. The second key discovery was that a strong combination forecasting model that responds to the multiple fluctuations that occur in the bitcoin time series and Error improvement should be used. Based on the results, the prediction a