Browsing by Author "Ibrahim, M."

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Compressive spatial channel sounding
(IET Digital Library, 2018) Ibrahim, M.; Al-Aqqad, W.; Romer, F.; Kaske, M.; Semper, S.; S. Thoma, R.; Del Galdo, G.
In this paper we investigate the application of Compressed Sensing (CS) to MIMO channel sounding in the spatial domain. A compressive spatial channel sounder is proposed and evaluated based on real scenarios showing advantages in terms of time, hardware complexity and resolution. In particular, in the case where we use time division duplex for measuring the MIMO channel (in the form of antenna switching at the transmitter and/or the receiver), the proposed approach reduces the total number of switching periods, which implies a reduced channel acquisition time and thus an improved Doppler bandwidth. Alternatively, if we use multiple receive RF chains for the measurement, the compression allows to reduce the number of RF chains, which is a relevant advantage in terms of the overall receiver complexity, the amount of data to be processed in the digital domain (e.g., FPGA), power consumption, as well as RF hardware calibration. On the other hand, for the same measurement time and/or hardware complexity, one can increase the number of array elements to cover a larger aperture and so achieving better performance in terms of resolution.
Cooling slope casting of cast iron
(WILEY-V C H VERLAG GMBH, 2017) Negm, A. M.; Abdallah, Sayed A.; Ibrahim, M.; Mahmoud, T. S.
The aim of the present work is to study the effect of semi-solid processing using cooling slope method on the microstructure and mechanical properties of grey cast iron. A water cooled castable cement coated steel plate with a variable inclination angle is used to make a mechanical treatment on the semi-solid flow of grey cast iron. The experiment is repeated for three different pouring temperatures and three inclination angles. The tensile test, hardness test and microstructure examination is used to compare the new properties of the new resulting grey cast irons. The results show that the sharp edged carbon flakes can be refined and the mechanical properties is enhanced. The carbon particles average circularity is increased followed with a decrease in carbon particle size due to the effect of the cooling plate.
ISC-DL: DL For Diagnosis of Ischemic Stroke
(October university for modern sciences and Arts MSA, 2023) Gaid, M.; Ibrahim, S; .EL-Atrash, M; Ibrahim, M.
Stroke is still the world's second biggest cause of mortality. It is one of the illnesses that artificial intelligence (AI) can detect. Early detection of an acute stroke is crucial for commencing prompt treatments and reducing morbidity and death. Imaging techniques such as (CT) Computed Tomography and (MRI) Magnetic Resonance Imaging can identify it, however, they take longer and have worse accuracy than AI. Artificial intelligence algorithms are particularly adapted to the rapid decision-making required in the management of big vessel occlusive strokes. Through early categorization by CT and MRI, AI can assist in identifying kinds of strokes such as ischemic and hemorrhagic strokes. With the help of AI, doctors can quickly analyze a patient's brain scan and receive resultsin minutes. Imaging is also important since professionals may evaluate amounts of data and detect any indicators of a possible stroke. AI enhances the quality of (CT) and (MRI) scans, yielding more than 90% accuracy and improving patient care. The AI detection time of a brain stroke is now 5 minutes. We will discuss the use of AI in stroke imaging and how to improve (CT) and (MRI) quality in this study.