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Efficient Channel Estimation Techniques for MIMO Systems with 1-Bit ADC

China Communications 2020年第5期17卷 50-64页

作者： Hany SHussein Shaimaa Hussein ehab mahmoud mohamed Electrical Engineering Dept. College of EngineeringKing Khalid UniversityAbha 61411King of Saudi Arabia Electrical Engineering Dept. Faculty of EngineeringAswan UniversityAswan 81542Egypt Electrical Engineering Dept. College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir 11991King of Saudi Arabia

With a low resolution 1-bit ADC on its receiver(RX) side, MIMO with 1-bit ADC took a considerable step in the fulfillment of the hardware complexity constrains of the internet of things(IoT) PHY layer design. However, applying 1-bit ADC at MIMO RX results in severe nonlinear quantization error. By which, almost all received signal amplitude information is completely distorted. Thus, MIMO channel estimation is considered as a major barrier towards practical realization of 1-bit ADC MIMO system. In this paper, two efficient sparsity-based channel estimation techniques are proposed for 1-bit ADC MIMO systems, namely the low complexity sparsity-based channel estimation(LCSCE), and the iterative adaptive sparsity channel estimation(IASCE). In these techniques, the sparsity of the 1-bit ADC MIMO channel is exploited to propose a new adaptive and iterative compressive sensing(CS) recovery algorithm to handle the 1-bit ADC quantization effect. The proposed algorithms are tested with the state-of-the-art 1-bit ADC MIMO constant envelope modulation(MIMO-CEM). The 1-bit ADC MIMO-CEM system is chosen as it fulfills both energy and hardware complexity constraints of the IoT PHY layer. Simulation results reveal the high effectiveness of the proposed algorithms in terms of spectral efficiency(SE) and computational complexity. The proposed LCSCE reduces the computational complexity of the 1-bit ADC MIMO-CEM channel estimation by 86%, while the IASCE reduces it by 96% compared to the recent techniques of MIMO-CEM channel estimation. Moreover, the proposed LCSCE and IASCE improve the spectrum efficiency by 76 % and 73 %, respectively, compared to the recent techniques.

关键词： channel estimation 1-bit ADC MIMO sparsity recovery compressive sensing Internet of things

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Simulation of Water-Soil-Structure Interactions Using Incompressible Smoothed Particle Hydrodynamics

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Computers, Materials & Continua 2020年第10期65卷 205-224页

作者： Abdelraheem M.Aly Mitsuteru Asai ehab mahmoud mohamed Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Department of Mathematics Faculty of ScienceSouth Valley UniversityQena83523Egypt Civil Engineering Department Kyushu UniversityFukuoka819-0395Japan Electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan81542Egypt

In the present work,an incompressible smoothed particle hydrodynamic(SPH)method is introduced to simulate water-soil-structure *** the current calculation,the water is modelled as a Newtonian *** soil is modelled in two different *** the first case,the granular material is considered as a fluid where a Bingham type constitutive model is proposed based on Mohr-Coulomb yield-stress criterion,and the viscosity is derived from the cohesion and friction *** addition,the fictitious suspension layers between water and soil depending on the concentration of soil are *** the second case,Hooke’s law introduces elastic *** ISPH,the pressure is evaluated by solving the pressure Poisson equation using a semi-implicit algorithm based on the projection method and an eddy viscosity for water is modelled by a large eddy simulation with the Smagorinsky *** the proposed ISPH method,the pressure is stabilized to simulate the multiphase flow between soil and *** experiments for water-soil suspension flow of Louvain erosional dam break with flat soil foundation,is simulated and validated using 3D-ISPH *** between water-soil interactions with different solid structures are *** results revealed that,the suspension layers with the Bingham model of soil gives more accurate results in the experiment as compared to the case of the Bingham model without suspension *** addition,the elastic soil model by the Hooke’s law can simulate soil hump accurately as compared to the Bingham *** the simulations,avoiding erosion behind the structure for preventing the structure break during flood are investigated by using an extended structure or a wedge structure.

关键词： Bingham model ISPH method rigid body water-soil interactions

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Millimeter-Wave Concurrent Beamforming:A Multi-Player Multi-Armed Bandit Approach

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Computers, Materials & Continua 2020年第12期65卷 1987-2007页

作者： ehab mahmoud mohamed Sherief Hashima Kohei Hatano Hani Kasban mohamed Rihan Electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan81542Egypt Computational Learning Theory Team RIKEN-Advanced Intelligent ProjectFukuoka819-0395Japan Engineering Department Nuclear Research CenterEgyptian Atomic Energy AuthorityCairo13759Egypt Faculty of Arts and Science Kyushu UniversityFukuok819-0395Japan Electronics and Electrical Communication Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt

The communication in the Millimeter-wave(mmWave)band,i.e.,30~300 GHz,is characterized by short-range transmissions and the use of antenna beamforming(BF).Thus,multiple mmWave access points(APs)should be installed to fully cover a target environment with gigabits per second(Gbps)***,inter-beam interference prevents maximizing the sum rates of the established concurrent *** this paper,a reinforcement learning(RL)approach is proposed for enabling mmWave concurrent transmissions by finding out beam directions that maximize the long-term average sum rates of the concurrent ***,the problem is formulated as a multiplayer multiarmed bandit(MAB),where mmWave APs act as the players aiming to maximize their achievable rewards,i.e.,data rates,and the arms to play are the available beam *** this setup,a selfish concurrent multiplayer MAB strategy is *** different MAB algorithms,namely,ϵ-greedy,upper confidence bound(UCB),Thompson sampling(TS),and exponential weight algorithm for exploration and exploitation(EXP3)are examined by employing them in each AP to selfishly enhance its beam selection based only on its previous *** a few rounds of interactions,mmWave APs learn how to select concurrent beams that enhance the overall system *** proposed MAB based mmWave concurrent BF shows comparable performance to the optimal solution.

关键词： Millimeter wave(mmWave) concurrent transmissions reinforcement learning multiarmed bandit(MAB)

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Nanofluid Flows Within Porous Enclosures Using Non-Linear Boussinesq Approximation

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Computers, Materials & Continua 2021年第3期66卷 3195-3213页

作者： Sameh E.Ahmed Dalal Alrowaili ehab mahmoud mohamed Abdelraheem M.Aly Department of Mathematics College of ScienceKing Khalid UniversityAbha62529Saudi Arabia Department of Mathematics South Valley UniversityQena83523Egypt Mathematics Department College of ScienceJouf UniversitySakakaSaudi Arabia Electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electrical Engineering Department Aswan UniversityAswan81542Egypt

In this paper,the Galerkin finite element method(FEM)together with the characteristic-based split(CBS)scheme are applied to study the case of the non-linear Boussinesq approximation within sinusoidal heating inclined enclosures filled with a non-Darcy porous media and *** enclosure has an inclination angle and its side-walls have varying sinusoidal temperature *** working fluid is a nanofluid that is consisting of water as a based nanofluid and Al2O3 as *** porous medium is modeled using the Brinkman Forchheimer extended Darcy *** obtained results are analyzed over wide ranges of the non-linear Boussinesq parameter 0≤ζ≤1,the phase deviation 00≤Φ≤1800,the inclination angle 00≤γ≤900,the nanoparticles volume fraction 0%≤φ≤4%,the amplitude ratio 0≤a≤1 and the Rayleigh number 104≤Ra≤*** results revealed that the average Nusselt number is enhanced by 0.73%,26.46%and 35.42%at Ra=104,105 and 106,respectively,when the non-linearBoussinesq parameter is varied from 0 to *** addition,rate of heat transfer in the case of a non-uniformly heating is higher than that of a uniformly ***-linear Boussinesq parameter rises the flow speed and heat transfer in an *** deviation makes clear changes on the isotherms and heat transfer rate on the right wall of an *** inclination angle varies the flow speed and it has a slight effect on heat transfer in an enclosure.

关键词： CBS scheme non-linear Boussinesq approximation nonuniformly heating non-darcy flow nanofluid

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Urdu Ligature Recognition System:An Evolutionary Approach

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Computers, Materials & Continua 2021年第2期66卷 1347-1367页

作者： Naila Habib Khan Awais Adnan AbdulWaheed Mahdi Zareei Abdallah Aldosary ehab mahmoud mohamed Department of Computer Science Institute of Management SciencesPeshawar25000Pakistan Department of Information Technology Hazara UniversityMansehra21120Pakistan School of Electrical and Computer Engineering Seoul National UniversitySeoul08826South Korea Tecnologico de Monterrey School of Engineering and SciencesZapopan45201Mexico Department of Computer Science Prince Sattam Bin Abdulaziz UniversityAs Sulayyil11991Saudi Arabia Electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan81542Egypt

Cursive text recognition of Arabic script-based languages like Urdu is extremely complicated due to its diverse and complex *** approaches like genetic algorithms have been used in the past for various optimization as well as pattern recognition tasks,reporting exceptional *** proposed Urdu ligature recognition system uses a genetic algorithm for optimization and *** the proposed recognition system observes the processes of pre-processing,segmentation,feature extraction,hierarchical clustering,classification rules and genetic algorithm optimization and *** pre-processing stage removes noise from the sentence images,whereas,in segmentation,the sentences are segmented into ligature *** features are extracted from each of the segmented ligature ***-feature hierarchical clustering is observed that results in clustered ***,classification rules are used for the representation of the clustered *** genetic algorithm performs an optimization mechanism using multi-level sorting of the clustered data for improving the classification rules used for recognition of Urdu *** conducted on the benchmark UPTI dataset for the proposed Urdu ligature recognition system yields promising results,achieving a recognition rate of 96.72%.

关键词： Classification rules genetic algorithm intra-feature hierarchical clustering ligature recognition Urdu script

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Hybrid Single Image Super-Resolution Algorithm for Medical Images

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Computers, Materials & Continua 2022年第9期72卷 4879-4896页

作者： Walid El-Shafai ehab mahmoud mohamed Medien Zeghid Anas MAli Moustafa H.Aly Department of Electronics and Electrical Communications Engineering Faculty of Electronic EngineeringMenoufia UniversityMenouf32952Egypt Security Engineering Lab Computer Science DepartmentPrince Sultan UniversityRiyadh11586Saudi Arabia Electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electrical Engineering Department Aswan UniversityAswan81542Egypt Electronics and Micro-Electronics Laboratory(E.μ.E.L) Faculty of SciencesUniversity of MonastirMonastir5000Tunisia Alexandria Higher Institute of Engineering&Technology(AIET) AlexandriaEgypt Electronics and Communications Engineering Department College of Engineering and TechnologyArab Academy for ScienceTechnology and Maritime TransportAlexandria1029Egypt

High-quality medical microscopic images used for diseases detection are expensive and difficult to ***,low-resolution images are favorable due to their low storage space and ease of sharing,where the images can be enlarged when needed using Super-Resolution(SR)***,it is important to maintain the shape and size of the medical images while enlarging *** of the problems facing SR is that the performance of medical image diagnosis is very poor due to the deterioration of the reconstructed image ***,this paper suggests a multi-SR and classification framework based on Generative Adversarial Network(GAN)to generate high-resolution images with higher quality and finer details to reduce *** proposed framework comprises five GAN models:Enhanced SR Generative Adversarial Networks(ESRGAN),Enhanced deep SR GAN(EDSRGAN),Sub-Pixel-GAN,SRGAN,and Efficient Wider Activation-B GAN(WDSR-b-GAN).To train the proposed models,we have employed images from the famous BreakHis dataset and enlarged them by 4×and 16×upscale factors with the ground truth of the size of 256×256×***,several evaluation metrics like Peak Signal-to-Noise Ratio(PSNR),Mean Squared Error(MSE),Structural Similarity Index(SSIM),Multiscale Structural Similarity Index(MS-SSIM),and histogram are applied to make comprehensive and objective comparisons to determine the best methods in terms of efficiency,training time,and storage *** obtained results reveal the superiority of the proposed models over traditional and benchmark models in terms of color and texture restoration and detection by achieving an accuracy of 99.7433%.

关键词： GAN medical images SSIM MS-SSIM PSNR SISR

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Traffic Queuing Management in the Internet of Things: An Optimized RED Algorithm Based Approach

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Computers, Materials & Continua 2021年第1期66卷 359-372页

作者： Abdul Waheed Naila Habib Khan Mahdi Zareei Shahab Ul Islam Latif Jan Arif Iqbal Umar ehab mahmoud mohamed Department of Information Technology Hazara UniversityMansehra21120Pakistan School of Electrical and Computer Engineering Seoul National UniversitySeoul08826Korea Department of Computer Science Institute of Management SciencesPeshawar25000Pakistan Tecnologico de Monterrey School of Engineering and SciencesZapopan45201Mexico Department of Computer Science IQRA National UniversityPeshawar25124Pakistan Department of Electrical Engineering University of Engineering TechnologyPeshawar25120Pakistan Electrical Engineering Department College of EngineeringPrince Sattam Bin Abdulaziz UniversityWadi Addwasir11991Saudi Arabia Electrical Engineering Department Faculty of EngineeringAswan UniversityAswan81542Egypt

Congestion control is one of the main obstacles in cyberspace *** in internet traffic may cause several problems;such as high packet hold-up,high packet dropping,and low packet *** the course of data transmission for various applications in the Internet of things,such problems are usually generated relative to the *** tackle such problems,this paper presents an analytical model using an optimized Random Early Detection(RED)algorithm-based approach for internet traffic *** validity of the proposed model is checked through extensive simulation-based *** analysis is observed for different functions on internet *** performance metrics are taken into consideration,namely,the possibility of packet loss,throughput,mean queue length and mean queue *** sets of experiments are observed with varying simulation *** experiments are thoroughly analyzed and the best packet dropping operation with minimum packet loss is identified using the proposed model.

关键词： Random early detection(RED) active queue management(AQM) quality of service(QOS) throughput

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Metaheuristic Lightweight Cryptography for Security Enhancement in Internet of Things

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Computers, Materials & Continua 2022年第8期72卷 3009-3023页

作者： mahmoud Ragab ehab Bahaudien Ashary Information Technology Department Faculty of Computing and Information TechnologyKing Abdulaziz UniversityJeddah21589Saudi Arabia Centre of Artificial Intelligence for Precision Medicines King Abdulaziz UniversityJeddah21589Saudi Arabia Mathematics Department Faculty of ScienceAl-Azhar UniversityNaser City11884CairoEgypt Electrical and Computer Engineering Department Faculty of EngineeringKing Abdulaziz UniversityJeddah21589Saudi Arabia

The advancements made in Internet of Things(IoT)is projected to alter the functioning of healthcare industry in addition to increased penetration of different ***,data security and private are challenging tasks to accomplish in IoT and necessary measures to be taken to ensure secure *** this background,the current paper proposes a novel lightweight cryptography method for enhance the security in *** proposed encryption algorithm is a blend of Cross Correlation Coefficient(CCC)and Black Widow Optimization(BWO)*** the presented encryption technique,CCC operation is utilized to optimize the encryption process of cryptography *** projected encryption algorithm works in line with encryption and decryption *** key selection is performed with the help of Artificial Intelligence(AI)tool named BWO *** the combination of AI technique and CCC operation,optimal security operation is improved in *** different sets of images collected from databases,the projected technique was validated in MATLAB on the basis of few performance metrics such as encryption time,decryption time,Peak Signal to Noise Ratio(PSNR),CC,Error,encryption time and decryption *** results were compared with existing methods such as Elliptical Curve cryptography(ECC)and Rivest-Shamir-Adleman(RSA)and the supremacy of the projected method is established.

关键词： Security images encryption time correlation coefficient black widow optimization artificial intelligence decryption time

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Molecular mechanisms of the anti-obesity potential effect of Moringa oleifera in the experimental model

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Asian Pacific Journal of Tropical Biomedicine 2017年第3期7卷 214-221页

作者： Fateheya mohamed Metwally Hend mohamed Rashad Hanaa Hamdy Ahmed Asmaa Ahmed mahmoud ehab Ragaa Abdol Raouf Aboelfetoh mohamed Abdalla Environmental and Occupational Medicine National Research CentreGizaEgypt Department of Hormones National Research CentreGizaEgypt Department of Zoology Faculty of ScienceAin Shams UniversityCairoEgypt Department of Research on Children with Special Needs National Research CentreGizaEgypt Department of Horticulture Crops Technology National Research CentreGizaEgypt

Objective: To elucidate the molecular mechanisms of the potent anti-obesity effect of Moringa oleifera Lam.(M. oleifera) ethanolic extract and to clarify the link between these mechanisms and the associated metabolic and vascular risks in the experimental model of visceral ***: M. oleifera ethanolic extract was orally administered at 600 mg/kg body weight in obese female rats daily for 12 weeks. At the end of treatment, body weight was determined, and the atherogenic index, coronary artery index, glucose level, insulin resistance status, liver and kidney functions were assessed. Also, the m RNA of leptin, adiponectin and resistin in visceral adipose tissue was determined by quantitative real ***: The results showed that M. oleifera extract down-regulated m RNA expression of leptin and resistin, while it up-regulated adiponectin gene expression in obese rats relative to untreated obese control counterparts. This amelioration of genes expression was paralleled by a reduction in body weight and improvement of the atherogenic index and coronary artery index, as well as glucose level and insulin resistance value without adverse effects on liver or kidney functions, versus the untreated obese control ***: It is reasonable to assume that the anti-obesity, anti-atherogenic and antidiabetic properties of M. oleifera are mechanistically achieved via working directly on the adipokines of the visceral adipose tissue. Therefore, M. oleifera may be a good therapeutic candidate for the symptoms of metabolic syndrome.

关键词： Moringa oleifera Lam Visceral adipose tissue Adipokines Gene expression Rats

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Clinicopathological features and surgical outcome of patients with fibrolamellar hepatocellular carcinoma(experience with 22 patients over a 15-year period)

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World Journal of Gastrointestinal Surgery 2017年第2期9卷 61-67页

作者： mohamed Abdel Wahab ehab El Hanafy Ayman El Nakeeb mahmoud Abdelwahab Ali Gastroenterology Surgical Center Mansoura UniversityMansoura 35516Egypt

AIM To evaluate the clinicopathological features and the surgical outcomes of patients with fibrolamellar hepato-cellular carcinoma(FL-HCC)over a 15-year period. METHODS This is a retrospective study including 22 patients with a pathologic diagnosis of FL-HCC who underwent hepatectomy over a 15-year period. Tumor characteristics,survival and recurrence were evaluated. RESULTS There were 11 male and 11 female with a median age of 29 years(range from 21 to 58 years). Two(9%)patients had hepatitis C viral infection and only 2(9%)patients had alpha-fetoprotein level > 200 ng/m L. The median size of the tumors was 12 cm(range from 5-20 cm). Vascular invasion was detected in 5(23%)patients. Four(18%)patients had lymph node metastases. The median follow up period was 42 mo and the 5-year survival was 65%. Five(23%)patients had a recurrent disease,4 of them had a second surgery with 36 mo median time interval. Vascular invasion is the only significant negative prognostic factor CONCLUSION FL-HCC has a favorable prognosis than common HCC and should be suspected in young patients with non cirrhotic liver. Aggressive surgical resection should be done for all patients. Repeated hepatectomy should be considered for these patients as it has a relatively indolent course.

关键词： Fibrolamellar hepatocellular carcinoma Common hepatocellular carcinoma Recurrence after resection fibrolamellar hepatocellular carcinoma Pathology of fibrolamellar hepatocellular carcinoma Survivalefter resection fibrolamellar hepatocellular carcinoma

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