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Mobile communications is one of the fastest growing fields, with new technologies developed continuously to improve the quality by increasing the data rate and adding more services like video broadcasting and multi-media services. One of the newest technologies is the Long Term Evolution (LTE). Building a new LTE network passes through a number of phases, one of the most important phases is the planning...
Context-aware e-Services offer entirely new opportunities for application developers and for end users by gathering context data and offering e-services solutions that are adapted to their context. In this paper, using a scenario, we argue for the need for an e-services framework that supports decision-making during fault management process in electricity distribution networks. Then we discuss the...
The increasing demand for World Wide Web (WWW) services has led to a considerable increase in the amount of Internet traffic. As a result, the network becomes highly prone to congestion which increases the load on servers, resulting in increasing the access times of WWW documents. Thus, web caching is crucial for reducing the load on network, shorten network latency and improve clients' waiting time...
Researchers in sign language recognition customized different sensors to capture hand signs. Gloves, digital cameras, depth cameras and Kinect were used alternatively in most systems. Due to signs closeness, input accuracy is a very essential constraint to reach a high recognition accuracy. Although previous systems accomplished high recognition accuracy, they suffer from stability in realistic environment...
Contrary to the common sense that tells us sign language depends mainly on hands, other factors such as facial expressions, body movements and lips affect dramatically a sign meaning. Arabic Sign Language (ArSL) tends to be a descriptive gesture language, facial expressions are involved in 70% of total signs. In this paper, a study on an ArSL database is performed to conclude that the 6 main facial...
As a common software engineering practice, software dynamic defect models are used to estimate and predict the software testing process progress, effectiveness, and the number of future defects over the next weeks. Practitioners use these dynamic defect models to ensure that the delivery of software to customers is possible from the quality point of view and to predict the release date. Old literature...
Sentiment Analysis (SA) is the computational study of people's opinions about certain topics. With the massive growth of web 2.0 technologies, many sources of data and corpora are available for SA. There are some recent frameworks proposed in this field that can deal with different corpora. This paper presents a component analysis of recently proposed sentiment analysis framework. The framework components...
Most of query optimizers choose a single query plan for processing all the data based on the average data statistics. But this plan is usually not efficient with the uncertain stream datasets of modern applications as network monitoring, sensor networks and financial applications; where these data have continuous variations over time. In this paper we propose an optimized query mesh for data stream...
The proposed work presents the use of Artificial Neural Network (ANN) as a pattern classifier for differential protection of power transformer, which makes the discrimination among normal, magnetizing inrush, over-excitation and internal fault currents. This scheme has been realized through two separate customized Parallel-Hidden Layered ANN architectures which work in Master-slave mode. The Back...
In this paper the second order cyclo-stationarity property of Fractional Fourier Transform (FrFT) OFDM is investigated. A novel closed form analytical expression for the cyclic autocorrelation function of FrFT-OFDM signal is derived. The derived formula is achieved in the presence of multipath dispersive channel along with additive white Gaussian noise (AWGN). Extensive Simulations are performed in...
Empirical mode decomposition (EMD) is used as denoising technique to enhance the signal to noise ratio (SNR) for noisy signals. A new EMD denoising algorithm named EMD iterative altering thresholding and denoising (EMD-IATD) based on the traditional EMD thresholding and denoising (EMD-TD) and inspirited Wavelet denoising technique is developed in this paper. The improved SNR of the new EMD-IATD over...
Several Geographic Information Systems have become available nowadays. As a result, the most widely used, different types of databases (relational, semantic, NoSQL) allow efficient management of spatial data types. These spatial functions are also required by Augmented Reality browsers in order to handle Points of Interest that have some spatial attributes. In the past few years, some studies on database...
This paper proposes a simultaneous multithreaded matrix processor called SMMP to improve the performance of data-parallel applications by exploiting ILP, DLP, and TLP. In SMMP, the well-known 5-stage pipeline (baseline scalar processor) is extended to execute multi-scalar/vector/matrix instructions on unified parallel execution datapaths. SMMP can issue four scalar instructions from two threads each...
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