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Efficient Computation Offloading of IoT-Based Workflows Using Discrete Teaching Learning-Based Optimization

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Computers, Materials & Continua 2022年第11期73卷 3685-3703页

作者： mohamed K.hussein mohamed H.Mousa Department of Computer Science Faculty of Computers and InformaticsSuez Canal UniversityIsmailiaEgypt Department of Information Technology College of Computer Science at AlKamilUniversity of JeddahJeddahSaudi Arabia

As the Internet of Things(IoT)and mobile devices have rapidly proliferated,their computationally intensive applications have developed into complex,concurrent IoT-based workflows involving multiple interdependent *** exploiting its low latency and high bandwidth,mobile edge computing(MEC)has emerged to achieve the high-performance computation offloading of these applications to satisfy the quality-of-service requirements of workflows and *** this study,we propose an offloading strategy for IoT-based workflows in a high-performance MEC *** proposed task-based offloading strategy consists of an optimization problem that includes task dependency,communication costs,workflow constraints,device energy consumption,and the heterogeneous characteristics of the edge *** addition,the optimal placement of workflow tasks is optimized using a discrete teaching learning-based optimization(DTLBO)*** experimental evaluations demonstrate that the proposed offloading strategy is effective at minimizing the energy consumption of mobile devices and reducing the execution times of workflows compared to offloading strategies using different metaheuristics,including particle swarm optimization and ant colony optimization.

关键词： High-performance computing internet of things(IoT) mobile edge computing(MEC) workflows computation offloading teaching learning-based optimization

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

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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

Flavonoid chemical composition and antidiabetic potential of Brachychiton acerifolius leaves extract

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Asian Pacific Journal of Tropical Biomedicine 2017年第5期7卷 389-396页

作者： aisha hussein Abou Zeid mohamed Ali Farag Manal Abdel Aziz Hamed Zeinab Abdel Aziz Kandil Radwa Hassan El-Akad Hanaa mohamed El-Rafie Pharmacognosy Department National Research Centre Pharmacognosy Department College of PharmacyCairo University Therapeutic Chemistry Department National Research Centre

Objective:To evaluate Brachychiton acerifolius leaf extracts as antidiabetic potential agent and to identify the main active constituents using bioactivity guided ***:In vitro antioxidant activity was evaluated for *** different extracts using DPPH assay and vitamin C as *** activity was then determined using STZ-induced rats treated daily with ethyl acetate and 70% ethanol leaf extracts for4 weeks at a dose of 200 g/kg body weight against gliclazide reference *** glucose,a-amylase,lipid profile,liver function enzymes and oxidative stress markers were assessed along with histopathological study for liver and pancreatic *** and structural elucidation of active compounds were made using Diaion and Sephadex followed by spectral ***:The results indicated that ethyl acetate and ethanol leaf extracts exhibited the strongest antioxidant activity compared to that of vitamin C(IC500.05,0.03 and 12 mg/m L,respectively).Both extracts showed potent anti-hyperglycemic activity evidenced by a significant decrease in serum glucose levels by 82.5% and 80.9% and a-amylase by45.2% and 53.6%,as compared with gliclazide 68% and 59.4%,*** of ethanol extract resulted in the isolation of 9 flavonoids including apigenin-7-O-arhamnosyl(1/2)-b-D-glucuronide,apigenin-7-O-b-D-glucuronide,apigenin-7-O-b-Dglucoside and ***:This study highlights the potential use of *** leaf extract enriched in flavones for the treatment of diabetes that would warrant further clinical trials investigation.

关键词： STZ-induced diabetes Diaion fractionation Flavonoid glucuronides Brachychiton acerifolius

Influence of Fe_(2)O_(3) on the physical,structural and electrical properties of sodium lead borate glasses

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Journal of Advanced Ceramics 2014年第2期3卷 155-164页

作者： Safeya IBRAHIM mohamed Mahmoud GOMAA hussein DARWISH Glass Research Department National Research CentreDokkiCairoEgypt Geophysical Sciences Department National Research CentreDokkiCairoEgypt

The influence of adding Fe_(2)O_(3) at the expense of Na_(2)O in sodium lead borate glasses on the structural,physical and electrical properties have been *** obtained from Fourier transform infrared(FTIR)spectra indicated that Fe_(2)O_(3) plays an important role in converting three coordinated boron atoms[BO_(3)]to four coordinated boron atoms[BO4].The physical properties such as density and molar volume helped to evaluate the compact structure of the prepared glass samples due to presence of[BO4]*** increase of Fe_(2)O_(3)/Na_(2)O replacements led to increasing the microhardness values and decreasing the thermal expansion coefficients of the studied *** increase of Fe_(2)O_(3)/Na_(2)O replacements generally decreased the AC *** decrease might be due to converting of the three coordinated boron atoms[BO_(3)]to four coordinated boron atoms[BO_(4)].Dielectric constants of the samples might be an indication of the distortion in the coordinated boron *** obtained experimental data indicated the internal structure of glass network and the change of the structure of the samples from three[BO_(3)]to four coordinated boron atoms[BO4].

关键词： borate glasses Fourier transform infrared(FTIR)spectra microhardness thermal expansion AC electrical properties

Cardiac drug therapy--considerations in the elderly

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Journal of Geriatric Cardiology 2016年第12期13卷 992-997页

作者： mohamed Ayan Naga Venkata Pothineni aisha Siraj Jawahar L Mehta Division of Cardiovascular Medicine University of Arkansas for Medical Sciences Little Rock AR USA

Elderly individuals constitute a majority of patients encountered in current cardiovascular clinical practice. Management of these patients is a clinical challenge owing to a multitude of factors. Although medications such as statins have been shown to reduce cardiovascular mortality in the general population, evidence supporting the use of these drugs in patients greater than 75 years of age is sparse. Furthermore, aging associated changes in organ function and associated comorbidities influence the pharmacokinetics of multiple medications and can potentiate drug toxicity. In this article, we review the evidence behind the use of common cardiovasctdar medications in elderly patients and discuss pertinent clinical challenges.

关键词： Cardiac Drugs Elderly

LMI solutions for H-two and H-infinity decentralized controllers applied to an aerothermic process

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控制理论与应用（英文版） 2013年第2期11卷 247-254页

作者： Najib BENNIS Mustapha RAMZI mohamed HALOUA hussein YOULAL ENSET de Rabat Avenue de l'Arme'e Royale Madinat Al Irfane 10100 B. P. 6207 Rabat-InstitutsMorocco LASTIMI EST de sale' Universite' Mohamed V Agdal Avenue Prince sidi Mohammed B.P 227 Sale' Me'dinaMorocco EMI Avenue IbnSina B. P. 765 Agdal RabatMorocco UFR Automatique et Technologies de l'Information Faculte' des Sciences de Rabat Avenue Ibn Batouta B. P. 1014 RabatMorocco

In this paper, we present a linear matrix inequality （LMI）-based solution to implement H-two and H- infinity decentralized robust control strategies. Appropriate parametrization of optimal H-two and H-infinity controllers is used. The general formulation of the decentralized control design leads to the optimal determination of both the state feedback gains and the observer gains of the decentralized controllers. This formulation is two folds： first, a centralized controller is obtained, and then, a simplified decentralized solution is derived by optimizing only the observer gains. The mathematical determination of these gains is formulated as an LMI optimization problem that can be easily solved using LMI solvers. As an experimental evaluation of these controllers, a real time application to an aerothermic process is carried out. A continuous-time model of the process obtained with a suitable direct continuous-time identification approach is elaborated. Results illustrating the real performance obtained from the H-two and H-infinity decentralized controllers are di^cu^ge.d and comnare, d with th~ ce^ntraliTed nn^g

关键词： Parametrization approach Decentralized control H-two/H-infinity control Parameters optimization Lin-ear matrix inequality (LMI) Subspace identification Aerothermic process

A reinforcement learning approach for thermostat setpoint preference learning

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Building Simulation 2024年第1期17卷 131-146页

作者： hussein Elehwany mohamed Ouf Burak Gunay Nunzio Cotrufo Jean-Simon Venne Department of Environmental Engineering Carleton UniversityOttawaCanada Departmentof Building Civiland Environmental EngineeringConcordia UniversityMontrealCanada BrainBox Al Inc. MontrealCanada

Occupant-centric controls(OcC)is an indoor climate control approach whereby occupant feedback is used in the sequence of operation of building energy *** OcC has been used in a wide range of building applications,an OcC category that has received considerable research interest is learning occupants'thermal preferences through their thermostat interactions and adapting temperature setpoints *** recent studies used reinforcement learning(RL)as an agent for OcC to optimize energy use and occupant *** studies depended on predicted mean vote(PMV)models or constant comfort ranges to represent comfort,while only few of them used thermostat *** paper addresses this gap by introducing a new off-policy reinforcement learning(RL)algorithm that imitates the occupant behaviour by utilizing unsolicited occupant thermostat *** algorithm is tested with a number of synthetically generated occupant behaviour models implemented via the Python APl of *** simulation results indicate that the RL algorithm could rapidly learn preferences for all tested occupant behaviour scenarios with minimal exploration *** substantial energy savings were observed with most occupant scenarios,the impact on the energy savings varied depending on occupants'preferences and thermostat use behaviour stochasticity.

关键词： reinforcement learning preference learning occupant-centric controls smart thermostats off-policy learning

Effect of smart sprinkler irrigation utilization on water use efficiency for wheat crops in arid regions

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International Journal of Agricultural and Biological Engineering 2014年第1期7卷 26-35页

作者： hussein Mohammed Al-Ghobari mohamed Said Abdalla El Marazky Department of Agricultural Engineering College of Food and Agriculture Sciences King Saud UniversityRiyadh 11451Kingdom of Saudi Arabia

The smart irrigation system(SIS)developed in this research is a valuable tool for scheduling irrigation and quantifying water required by *** was implemented and tested under sprinkler irrigation system to irrigate wheat crops(YecoraRojo).Results obtained from this system were compared with the control irrigation system(CIS),whose scheduling method was based on data from an automatic weather *** indicated significant savings in applied water using the *** addition,the use of the SIS conserved 12%of irrigation water compared to CIS and obtained an economical *** water use efficiency(WUE)under SIS had generally higher values(1.64 kg/m^(3))compared to CIS(1.46 kg/m^(3)).Hence,the application of SIS technology provides significant advantages on WUE and irrigation water use efficiency(IWUE).Relatively high WUE and IWUE were found for the irrigation treatment(80%of evapotranspiration under SIS).Results showed that the irrigation requirements of wheat increased(100%of ETc under CIS)with increasing evapotranspiration(ETc)but excessive irrigation could decrease WUE and *** results indicated that extreme irrigation might not produce higher yield or optimal economic benefit,thus,suitable irrigation schedules by using SIS must be established and extendable to other agricultural crops.

关键词： smart irrigation system(SIS) sprinkler irrigation scheduling water use efficiency arid region evapotranspiration grain yield

Case Study: Spark GPU-Enabled Framework to Control COVID-19 Spread Using Cell-Phone Spatio-Temporal Data

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Computers, Materials & Continua 2020年第11期65卷 1303-1320页

作者： hussein Shahata Abdallah mohamed H.Khafagy Fatma A.Omara Department of Computer Science Fayoum UniversityFayoum63514Egypt Department of Computer Science Cairo UniversityGiza1261Egypt

Nowadays,the world is fighting a dangerous form of Coronavirus that represents an emerging *** its early appearance in China Wuhan city,many countries undertook several strict regulations including lockdowns and social distancing ***,these procedures have badly impacted the world *** and isolating positive/probable virus infected cases using a tree tracking mechanism constitutes a backbone for containing and resisting such fast spreading *** helping this hard effort,this research presents an innovative case study based on big data processing techniques to build a complete tracking system able to identify the central areas of infected/suspected people,and the new suspected cases using health records integration with mobile stations spatio-temporal data *** main idea is to identify the positive cases historical movements by tracking their phone location for the last 14 days(i.e.,the virus incubation period).Then,by acquiring the citizen’s mobile phone locations for the same period,the system will be able to measure the Euclidean distances between positive case locations and other nearby people to identify the in-contact suspected-cases using parallel clustering and classification ***,the daily change of the clusters size and its centroids will be used to predict new regions of infection,as well as,new ***,this approach will support infection avoidance by alerting people approaching areas of high probability of infection using their mobile GPS *** case study has been developed as a simulation system consisting of three components;positive cases/citizens movement’s data generation subsystem,big data processing platform including CPU/GPU tasks,and data visualization/map geotagging *** processing of such a big data system requires intensive computing ***,GPU tasks carried out to achieve high performance and accelerate the data *** to the sim

关键词： Big data Coronavirus(COVID-19) parallel K-Means GPU Spark