This research tries to lay the idea of an interactive program for teaching Arabic Language for the non-native speakers. This program will be established on the complete awareness of the language contents and its four study levels (phonological, morphological, syntactical and semantic) with a clear stress on the most prominent foundations and theori

A new method of estimating the coefficients of an autoregressive (AR) model using real-valued neural network (RVNN) technique is presented in this paper. The coefficients of the AR model are obtained from the synaptic weights and adaptive coefficients of the activation function of a two layer RVNN while the number of neurons in the hidden layer is

This research tries to lay the idea of an interactive program for teaching Arabic Language for the non-native speakers. This program will be established on the complete awareness of the language contents and its four study levels (phonological, morphological, syntactical and semantic) with a clear stress on the most prominent foundations and theori

The modern scientific and technological culture has made man to realize the importance of ecological equilibrium and environmental health to his life. Sustainable built environment is the idea which allows maintaining and extending quality of life through the various generations. In fact, the dawn of environmental and ecological consciousness is ar

The artificial neural network (ANN) is an information processing model which is developed from the inspiration of practical biological nervous system. ANNs are analogous to the human brain, which can perform a variety of complex tasks if configured properly through a learning process. The research work involves with the utilization of ANN as a clas

This study touches on the contextual effects in approximating the time range of a phoneme. This is done by tracking the time of long vowels in the samples of the study. The effects in approximating the time of the phoneme will be concluded through the analysis of the Quranic recitations by the samples which consist of reliable recitors such as Syai

This paper presents the design, optimization and performance evaluation of artificial neural network for the efficient classification of Electromyography (EMG) signals. The EMG signals are collected for different types of volunteer hand motion which are processed to extract some predefined features as inputs to the neural network. The time and time

The twenty-first century witnessed tremendous progress in the field of information and communication technologies, education technologies, globalization, and modernization, in which the rich countries equip schools, colleges, institutes and universities with educational technologies which include computer labs, intranet (LAN &WAN), internet (th

Electromyography (EMG) signal based research is ongoing for the development of simple, robust, user friendly, efficient interfacing devices/systems. An EMG signal based reliable and efficient hand gesture identification system has been developed for human computer interaction which in turn will increase the quality of life of the disabled or aged p

This article examines voluntary disclosure in the annual reports of 85 Malaysian companies listed on Bursa Malaysia. In departure from prior studies, which mainly examined the impact of social or environmental accidents on corporate disclosure, we examined voluntary disclosures for two years, 2006 and 2009, in an attempt to determine whether the 20