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Discrete GWO Optimized Data Aggregation for Reducing Transmission Rate in IoT

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Computer systems science & Engineering 2023年第3期44卷 1869-1880页

作者： s.siamala Devi k.Venkatachalam Yunyoung Nam mohamed Abouhawwash Department of Computer science and Engineering Sri Krishna College of TechnologyCoimbatore641042India Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Computer science and Engineering Soonchunhyang UniversityAsan31538Korea Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA

The conventional hospital environment is transformed into digital transformation that focuses on patient centric remote approach through advanced *** diagnosis of many diseases will improve the patient *** cost of health care systems is reduced due to the use of advanced technologies such as Internet of Things(IoT),Wireless sensor Networks(WsN),Embedded systems,Deep learning approaches and Optimization and aggregation *** data generated through these technologies will demand the bandwidth,data rate,latency of the *** this proposed work,efficient discrete grey wolf optimization(DGWO)based data aggregation scheme using Elliptic curve Elgamal with Message Authentication code(ECEMAC)has been used to aggregate the parameters generated from the wearable sensor devices of the *** nodes that are far away from edge node will forward the data to its neighbor cluster head using *** scheme will reduce the number of transmissions over the *** aggregated data are preprocessed at edge node to remove the noise for better *** node will reduce the overhead of cloud *** aggregated data are forward to cloud server for central storage and *** proposed smart diagnosis will reduce the transmission cost through aggrega-tion scheme which will reduce the energy of the *** cost for proposed system for 300 nodes is 0.34μ*** energy cost of existing approaches such as secure privacy preserving data aggregation scheme(sPPDA),concealed data aggregation scheme for multiple application(CDAMA)and secure aggregation scheme(AsAs)are 1.3μJ,0.81μJ and 0.51μJ *** optimization approaches and encryption method will ensure the data privacy.

关键词： Discrete grey wolf optimization data aggregation cloud computing IoT WsN smart healthcare elliptic curve elgamal energy optimization

Numerical Investigation of Rotating stall in Centrifugal Compressor with Vaned and Vaneless Diffuser

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Journal of Thermal science 2015年第4期24卷 323-333页

作者： Taher Halawa mohamed Alqaradawi mohamed s.Gadala Ibrahim shahin Osama Badr Mechanical Engineering Department UBC-University of British ColumbiaVancouverB.C.Canada Mechanical Engineering Department Cairo University Mechanical & Industrial Engineering Department Qatar University Mechanical Engineering Department Abu Dhabi University Mechanical and Industrial Engineering Department Qatar UniversityDohaQatar Mechanical Engineering Department Benha University Mechanical Engineering Department British University

This study presents a numerical simulation of the stall and surge in a centrifugal compressor and presents a description of the stall development in two different *** first case is for a compressor with vaneless diffuser and the second is for a compressor with vaned diffuser of the vane island *** main aim of this study is to compare the flow characteristics and behavior for the two compressors near the surge operating condition and provide further understanding of the diffuser role when back flow occurs at *** showed that for a location near the diffuser entrance,the amplitude of the static pressure fluctuations for the vaneless diffuser case is higher than that for the vaned diffuser case near surge *** pressure fluctuations in the case of the vaneless diffuser appear with a gradual decrease of the mean pressure value as a part of the surge *** for the case of the vaned diffuser,the pressure drop during surge occurs faster than the case of the vaneless ***,results indicated that during surge in the case of vaneless diffuser,there is a region with low velocity and back flow that appears as a layer connecting all impeller passages near shroud surface and this layer develops in size with *** the other hand,for the case of vaned diffuser during surge,the low velocity regions appear in random locations in some passages and these regions expand with time towards the shroud *** showed that during stall,the impeller passages are exposed to identical impact from stall cells in the case of vaneless diffuser while the stall effect varies from passage to another in the case of the vaned diffuser.

关键词： centrifugal compressors rotating stall surge vaneless diffuser vaned diffuser

3D static modeling and sequence stratigraphy using well logs and seismic data:An example of Abu Roash G member in Bahga oilfield

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Energy Geoscience 2024年第3期5卷 362-377页

作者： mohamed Reda mohamed Fathy mohamed Mosaad Fahad Alshehri mohamed s.Ahmed Geology Department Faculty of ScienceAl-Azhar UniversityP.O.Box 11884Nasr CityCairoEgypt Abdullah Alrushaid Chair for Earth science Remote sensing Research Geology and Geophysics DepartmentCollege of ScienceKing Saud UniversityRiyadh11451Saudi Arabia

This research uses both three-dimensional(3D)modeling and geologic well control to piece back together the architectural parts of the Late Cretaceous *** goal is to figure out the sizes,directions,locations,and controls of the layers of the fluvial sandstone *** stratigraphy is essential for 3D reservoir modeling and petroleum geology understanding in the Bahga *** purpose of this work is to create a static model that shows the layers and facies distribution in the reservoir *** will use data from nine well logs and 22 seismic lines calibrated by the Abu Roash G Member reservoir core intervals to accomplish *** petrophysical study discovered three parts in the Abu Roash G Member reservoir rock:channel fill that is affected by tides,channel fill that is dominated by tides(intertidal sands),and channel top with lenticular bedded *** model's findings point to the existence of an NNW-oriented sand body,which could be a prime location to produce *** original oil in place(OOIP)is about 3,438,279 stock Tank Barrels(sTB),and the oil reserve reaches up to 1,031,484(sTB).sequence stratigraphic analysis using seismic and well log information(sB)reveals that the Upper Cretaceous AR/G reservoir of the Bahga field is characterized by third-and fourth-order stratigraphic sequences,which are constrained by three Maximum Flooding surfaces(MFs)and two sequence *** integration of the derived geological model and sequence stratigraphic results can lower future extraction risk by identifying the locations and trends of the geologic facies with the necessary petrophysical properties for the hydrocarbon accumulations.

关键词： Three-dimensional reservoir modeling sequence stratigraphy Reservoir characterization Abu Roash reservoir Abu Gharadig Basin

Analytical approximate solution for nonlinear space-time fractional klein Gordon equation

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Chinese Physics B 2013年第1期22卷 33-38页

作者： khaled A. Gepreel mohamed s. mohameda Mathematics Department Faculty of Science Zagazig University Zagazig Egypt Mathematics Department Faculty of Science Taif University Taif Saudi Arabi Mathematics Department Faculty of Science Al-Azhar University Nasr City 11884 Cairo Egypt

The fractional derivatives in the sense of Caputo and the homotopy analysis method are used to construct an approximate solution for the nonlinear space-time fractional derivatives klein-Gordon equation. The numerical results show that the approaches are easy to implement and accurate when applied to the nonlinear space-time fractional derivatives klein- Gordon equation. This method introduces a promising tool for solving many space-time fractional partial differential equations. This method is efficient and powerful in solving wide classes of nonlinear evolution fractional order equations.

关键词： homotopy analysis method nonlinear space-time fractional klein-Gordon equation Caputo derivative

Nonlinear Analysis of Organic Polymer solar Cells Using Differential Quadrature Technique with Distinct and Unique shape Function

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Computer Modeling in Engineering & sciences 2023年第12期137卷 2193-2217页

作者： Ola Ragb Mokhtar mohamed mohamed s.Matbuly Omer Civalek Department of Engineering Mathematics and Physics Faculty of EngineeringZagazig UniversityZagazig44519Egypt Basic science Department Faculty of EngineeringDelta University for Science and TechnologyGamasa11152Egypt Department of Medical Research China Medical University HospitalChina Medical UniversityTaichung404327TaiwanChina

Four numerical schemes are introduced for the analysis of photocurrent transients in organic photovoltaic *** for organic polymer solar cells contains a nonlinear diffusion-reaction partial differential equation system with electrostatic convection attached to a kinetic ordinary differential *** solve the problem,Polynomial-based differential quadrature,sinc,and Discrete singular convolution are combined with block marching *** schemes are employed to reduce the problem to a nonlinear algebraic *** iterative quadrature technique is used to solve the reduced *** obtained results agreed with the previous exact one and the finite element ***,the effects of different times,different mobilities,different densities,different geminate pair distances,different geminate recombination rate constants,different generation efficiencies,and supporting conditions on photocurrent have been *** novelty of this paper is that these schemes for photocurrent transients in organic polymer solar cells have never been presented before,so the results may be useful for improving the performance of solar cells.

关键词： sinc differential quadrature block marching organic solar cells discrete singular convolution

small heat shock protein B8:from cell functions to its involvement in diseases and potential therapeutic applications

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Neural Regeneration Research 2025年第10期20卷 2872-2886页

作者： Marta Chierichetti Riccardo Cristofani Valeria Crippa Veronica Ferrari Marta Cozzi Elena Casarotto Paola Pramaggiore Laura Cornaggia Guglielmo Patelli Ali mohamed Margherita Piccolella Mariarita Galbiati Paola Rusmini Barbara Tedesco Angelo Poletti Laboratory of Experimental Biology Dipartimento di Scienze Farmacologiche e Biomolecolari“Rodolfo Paoletti”(DiSFeB)Universitàdegli Studi di MilanoMilanItaly

Heat shock protein family B(small)member 8(HsPB8)is a 22 kDa ubiquitously expressed protein belonging to the family of small heat shock ***8 is involved in various cellular mechanisms mainly related to proteotoxic stress response and in other processes such as inflammation,cell division,and ***8 binds misfolded clients to prevent their aggregation by assisting protein refolding or degradation through chaperone-assisted selective *** line with this function,the pro-degradative activity of HsPB8 has been found protective in several neurodegenerative and neuromuscular diseases characterized by protein misfolding and *** cancer,HsPB8 has a dual role being capable of exerting either a pro-or an anti-tumoral activity depending on the pathways and factors expressed by the model of cancer under ***,HsPB8 exerts a protective function in different diseases by modulating the inflammatory response,which characterizes not only neurodegenerative diseases,but also other chronic or acute conditions affecting the nervous system,such as multiple sclerosis and intracerebellar *** note,HsPB8 modulation may represent a therapeutic approach in other neurological conditions that develop as a secondary consequence of other *** is the case of cognitive impairment related to diabetes mellitus,in which HsPB8 exerts a protective activity by assuring mitochondrial *** review aims to summarize the diverse and multiple functions of HsPB8 in different pathological conditions,focusing on the beneficial effects of its ***-based and alternative therapeutic approaches targeting HsPB8 and its regulated pathways will be discussed,emphasizing how new strategies for cell and tissue-specific delivery represent an avenue to advance in disease treatments.

关键词： aggregation autophagy cancer chaperone chaperone-assisted selective autophagy cognitive impairment HsPB8 neuroinflammation neuromuscular diseases therapy

synthesis and characterization of CNT/Ce-TiO_2 nanocomposite for phenol degradation

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Journal of Rare Earths 2012年第7期30卷 651-658页

作者： shaari N Tan s H mohamed A R school of Chemical Engineering Engineering Campus University Sains Malaysia

An innovative photocatalyst, Carbon nanotube （CNT） supported Ce-TiO2 nanocomposite was successfully synthesized via modi-fied sol gel method and investigated in a batch reactor for abolition of phenol under UV light spectrum. Characterization of catalyst micro-structure and internal properties were done by means of X-ray diffraction （XRD）, Brunauer-Emmett-Teller （BET）, scanning electron micros-copy （sEM）, transmission electron microscopy （TEM） and UV-vis diffuse reflectance spectra （DRs）. Ce doping can inhibit phase transfor-mation from anatase to rutile and eliminate the recombination of electron-hole pairs in the catalyst. The presence of CNT in TiO2 composite can both increase the photoactivity under UV and change surface properties to achieve sensitivity to visible light. The optimum mass ratio of CNT support and cerium （Ce） dopant in TiO2 was the prominent factor to harvest CNT/Ce-TiO2 photocatalyst nanocomposite. The results demonstrated that optimum mass ratio of CNT：TiO2：Ce was 0.02：1.0：0.06, which resulted in the great performance of the photocatalyst to de-grade about 94% of phenol in a 50 mg/L solution in only 3 h. In this paper, dissimilar role of CNT support and Ce dopant in the TiO2 photo-catalysis of phenol was also discussed.

关键词： carbon nanotube (CNT) cerium TiO2 nanocomposite photocatalyst phenol rare earths

Gaussian support Vector Machine Algorithm Based Air Pollution Prediction

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Computers, Materials & Continua 2022年第4期71卷 683-695页

作者： k.s.Bhuvaneshwari J.Uma k.Venkatachalam Mehedi Masud mohamed Abouhawwash T.Logeswaran Department of Computer sceince and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Electrical and Electronics Engineering M.Kumarasamy College of EngineeringKarur639113India Department of Applied Cybernetics Faculty of ScienceUniversity of Hradec KrálovéHradec Králové50003Czech Republic Department of Computer science College of Computers and Information TechnologyTaif UniversityTaif21944Saudi Arabia Department of Mathematics Faculty of ScienceMansoura UniversityMansoura35516Egypt Department of Computational Mathematics Scienceand Engineering(CMSE)Michigan State UniversityEast LansingMI48824USA Department of Electrical and Electronics Engineering Kongu Engineering CollegeErode638060India

Air pollution is one of the major concerns considering detriments to human *** type of pollution leads to several health problems for humans,such as asthma,heart issues,skin diseases,bronchitis,lung cancer,and throat and eye *** pollution also poses serious issues to the *** from the vehicle industry is the cause of greenhouse effect and CO2 ***,real-time monitoring of air pollution in these areas will help local authorities to analyze the current situation of the city and take necessary *** monitoring process has become efficient and dynamic with the advancement of the Internet of things and wireless sensor *** is the main issue in WsNs;if the sensor node location is unknown,then coverage and power and routing are not *** study concentrates on localization-based air pollution prediction systems for real-time monitoring of smart *** systems comprise two phases considering the prediction as heavy or light traffic area using the Gaussian support vector machine algorithm based on the air pollutants,such as PM2.5 particulate matter,PM10,nitrogen dioxide(NO2),carbon monoxide(CO),ozone(O3),and sulfur dioxide(sO2).The sensor nodes are localized on the basis of the predicted area using the meta-heuristic algorithms called fast correlation-based elephant herding *** dataset is divided into training and testing parts based on 10 *** evaluation on predicting the air pollutant for localization is performed with the training *** error prediction in localizing nodes is 9.83 which is lesser than existing solutions and accuracy is 95%.

关键词： Air pollution monitoring air pollutant sVM Gaussian EHO fast correlation WsN localization

Managing software Testing Technical Debt Using Evolutionary Algorithms

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Computers, Materials & Continua 2022年第10期73卷 735-747页

作者： Muhammad Abid Jamil mohamed k.Nour Department of Computer science Umm Al-Qura UniversityMakkahSaudi Arabia

Technical debt(TD)happens when project teams carry out technical decisions in favor of a short-term goal(s)in their projects,whether deliberately or *** must be properly managed to guarantee that its negative implications do not outweigh its advantages.A lot of research has been conducted to show that TD has evolved into a common problem with considerable financial *** technical debt is the technical debt aspect of testing(or test debt).Test debt is a relatively new concept that has piqued the curiosity of the software industry in recent *** this article,we assume that the organization selects the testing artifacts at the start of every *** the latest features in consideration of expected business value and repaying technical debt are among candidate tasks in terms of the testing process(test cases increments).To gain the maximum benefit for the organization in terms of software testing optimization,there is a need to select the artifacts(i.e.,test cases)with maximum feature coverage within the available *** management of testing optimization for large projects is complicated and can also be treated as a multi-objective problem that entails a trade-off between the agile software’s short-term and long-term *** this article,we implement a multi-objective indicatorbased evolutionary algorithm(IBEA)for fixing such optimization *** capability of the algorithm is evidenced by adding it to a real case study of a university registration process.

关键词： Technical debt software testing optimization large scale agile projects evolutionary algorithms multiobjective optimization indicatorbased evolutionary algorithm(IBEA) pareto front