El Shorouk Academy

About: El Shorouk Academy is a education organization based out in Cairo, Egypt. It is known for research contribution in the topics: Fractional calculus & Nonlinear system. The organization has 92 authors who have published 192 publications receiving 1769 citations.

An Intelligent Wide Area Synchrophasor Based System for Predicting and Mitigating Transient Instabilities

Abstract: Increasing expansion of power systems and grids are accompanied nowadays by innovation in smart grid solutions to maintain systems stability. This paper proposes an intelligent wide area synchrophasor based system (IWAS) for predicting and mitigating transient instabilities. The IWAS incorporates artificial neural networks (ANN) for transient stability prediction. The ANN makes use of the advent of phasor measurements units (PMU) for real-time prediction. Coherent groups of generators-which swing together-is identified through an algorithm based on PMU measurements. A remedial action scheme (RAS) is applied to counteract the system instability by splitting the system into islands and initiate under frequency load shedding actions. The potential of the proposed approach is tested using New England 39 bus system.

Strengthening RC T-Beams Subjected to Combined Torsion and Shear Using FRP Fabrics: Experimental Study

Abstract: In several cases of loading and geometrical configurations, flexure beams, and girders are subjected to combined shear and torsion. Failure of a structural element under combined shear and torsion is brittle in nature. Externally bonded fiber-reinforced polymer FRP fabrics are currently being studied and used for the rehabilitation, repair, and retrofit of concrete structure. The objective of this study is to investigate the strengthening techniques for T-beams subjected to combined shear and torsion. Six half-scale beams—two control specimen and four strengthened beams—were constructed and tested using a specially designed test setup that subjects the beam to combined shear and torsion with different ratios. Four strengthening techniques using carbon FRPs were tested. The experimental results were reported and analyzed to assess the effectiveness of the proposed strengthening techniques. An innovative strengthening technique namely the extended U-jacket showed promising results in terms of strength and ductility while being quite feasible for strengthening. Future areas of research are being outlined.

A decision support system for Acute Leukaemia classification based on digital microscopic images

Abstract: In the era of digital microscopic imaging, Image Processing, data analysis, classification, decision support systems have emerged as one of the most important tools for diagnostic research. Physicians can observe cellular internal structures abnormalities by visualizing and analyzing images. Leukemia is a malignant disease characterized by the uncontrolled accumulation of abnormal white blood cells. The recognition of acute leukemia blast cells in colored microscopic images is a challenging task. The first important step in the automatic recognition of this disease, image segmentation, is considered to be the most critical step. In this study, we present a decision support system that includes the panel selection, segmentation using K-means clustering to identify the leukemia cells and features extraction, and image refinement. After the decision support system successfully identifies the cells and its internal structure, the cells are classified according to their morphological features of this analysis the decision support system was tested using a public dataset designed to test segmentation techniques for identifying specific cells, and the results of this analysis were compared with those of other techniques, which were suggested by other researchers, applied to the same data. The algorithm was then applied to another dataset, extracted under the supervision by an expert pathologist, from a local hospital; the total dataset consisted of 757 images gathered from two datasets. The images of the datasets are labeled with three different labels, which represents three types of leukemia cells: blast, myelocyte, and segmented cells. The process of labeling of these images was revised by the expert pathologist. The algorithm testing using this dataset demonstrated an overall accuracy of 99.517%, the sensitivity of 99.348%, and specificity of 99.529%. Therefore, this algorithm yielded promising results and warrants further research.

Wideband Wearable Antenna for Biomedical Telemetry Applications

Abstract: This paper presents a wideband, low-profile and semi-flexible antenna for wearable biomedical telemetry applications. The antenna is designed on a semi-flexible material of RT/duroid 5880 (E r = 2.2, tanδ = 0.0004) with an overall dimensions of 17 mm × 25 mm × 0.787 mm (0.2λ 0 × 0.29λ 0 × 0.009λ 0 ). A conventional rectangular patch is modified by adding rectangular slots to lower the resonant frequency, and the partial ground plane is modified to enhance the operational bandwidth. The final antenna model operates at 2.4 GHz with a 10-dB bandwidth (fractional bandwidth) of 1380 MHz (59.7 % at the centre frequency of 2.4 GHz). The proposed antenna maintains high gain (2.50 dBi at 2.4 GHz) and efficiency (93 % at 2.4 GHz). It is proved from the simulations and experimental results that the antenna has negligible effects in terms of reflection coefficient, bandwidth, gain, and efficiency when it is bent. Moreover, the antenna is simulated and experimentally tested in proximity of the human body, which shows good performance. The proposed wideband antenna is a promising candidate for compact wearable biomedical devices.