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Entropy optimization on Casson nanofluid flow with radiation and Arrhenius activation energy over different geometries:A numerical and statistical approach

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Propulsion and Power Research 2024年第3期13卷 375-393页

作者： M.Priya P.bala Anki Reddy Department of Mathematics S.A.S.Vellore Institute of TechnologyVellore 632014India

This study employs numerical and statistical approaches to investigate the entropy optimization of steady Casson nanofluidflow over three different geometries subject to boundary conditions induced by *** linear regression is employed to statistically *** present model incorporates several novel elements,such as Arrhenius activation energy,Brownian motion,the Cattaneo-Christov dualflux,thermophoresis,thermal radiation,and so ***,a comparison is presented between Newtonian and *** applying the proper similarity transformations,ordinary differential equations(ODEs)are ob-tained by converting foundational partial differential equations(PDEs).The Runge-Kutta fourth-order method is utilised to solve the obtained ODEs along with the shooting *** out-comes are visually depicted via tables and *** velocity drops with increasing Grashof number,and the magneticfield becomes progressively more forceful as the suction parameter *** temperature gets reduced with the increase of the suction parameter,solute Grashof number increases with the magneticfield,thermophoresis,and radiation *** entropy is observed to rise with the increase of the effective parameters(magneticfield,Brinkmann num-ber and radiation).The MAD(mean absolute deviation),MsE(mean squared error),and RMsE(root mean square error)values are approaching zero,indicating that the derived outcomes are highly accurate.A lower MAPE(mean absolute percentage error)suggests that the model has a higher level of ***,the outcomes of the present model are more precise and *** study has various potential applications such as power plant heat exchangers,material processing industries,and solar thermal energy systems.

关键词： Cassonfluid Arrhenius activation energy Entropy generation Thermophoresis Multiple linear regression

Interleukin-35: A key player managing pre-diabetes and chronic inflammatory type 1 autoimmune diabetes

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World Journal of Diabetes 2024年第10期15卷 2147-2151页

作者： Ratul Chakraborty Ashis Kumar Mukherjee Asis bala Life sciences Division Institute of Advanced Study in Science and TechnologyGuwahati 781035GuwahatiAssamIndia Pharmacology and Drug Discovery Research Laboratory Division of Life SciencesInstitute of Advanced Study in Science and TechnologyGuwahati 781035AssamIndia

Interleukin-35(IL-35)is a novel protein comprising IL-12αand IL-27β*** IL12A and EBI3 genes are responsible for its *** study of IL-35 has experienced a substantial increase in interest in recent years,as demonstrated by many research *** clinical studies have shown that individuals who do not have a C-peptide have notably reduced amounts of IL-35 in their blood *** is accompanied by a drop in the percentage of IL-35+Treg cells,regulatory B cells,and CD8+FOXP3+cells that produce *** article em-phasizes the potential significance of IL-35 expression in governing the immune response and its involvement in chronic inflammatory autoimmune diabetes in pancreatic *** demonstrates IL-35's ability to regulate cytokine proportions,modulate B cells,and protect against autoimmune ***,further investigation is necessary to ascertain the precise mechanism of IL-35,and meticulous planning is essential for clinical studies.

关键词： Interleukin-35 Chronic inflammatory type diabetes Autoimmune diabetes Pancreatic inflammation Gene disease association

First-Principles Investigation of Charge Transfer Mechanism of B-Doped 3C-siC semiconductor Material

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World Journal of Condensed Matter Physics 2024年第2期14卷 35-44页

作者： Abdullahi Alkali Dauda Muhammad Yusuf Onimisi Adeyemi Joshua Owolabi Hameed Adeneyi Lawal Hassan Muhammad Gambo Bashir Mohammed Aliyu s.rajo bala Muhammad Lamido Madugu Muhammad Abdurrahman Nainna Johnson Akinade Bamikole Physics Department Faculty of Science Air Force Institute of Technology Kaduna Nigeria Physics Department Faculty of Science Nigeria Defence Academy Kaduna Nigeria Physics Department Umaru Musa Yar&#8217adua University Batagarawa Nigeria Physics Department Faculty of Science Gombe State University Gombe Nigeria Physics Department Federal University of Lafia Lafia Nigeria

This study delves into the charge transfer mechanism of boron (B)-doped 3C-siC through first-principles investigations. We explore the effects of B doping on the electronic properties of 3C-siC, focusing on a 12.5% impurity concentration. Our comprehensive analysis encompasses structural properties, electronic band structures, and charge density distributions. The optimized lattice constant and band gap energy of 3C-siC were found to be 4.373 Å and 1.36 eV respectively, which is in agreement with previous research (Bui, 2012;Muchiri et al., 2018). Our results show that B doping narrows the band gap, enhances electrical conductivity, and influences charge transfer interactions. The charge density analysis reveals substantial interactions between B dopants and surrounding carbon atoms. This work not only enhances our understanding of the material’s electronic properties, but also highlights the importance of charge density analysis for characterizing charge transfer mechanisms and their implications in the 3C-siC semiconductors.

关键词： First-Principles Calculations DFT Boron (B)-Doped 3C-siC Charge Transfer

Intelligent Multilevel Node Authentication in Mobile Computing Using Clone Node

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Computers, Materials & Continua 2022年第3期70卷 5269-5284页

作者： Neha Malhotra Manju bala I.K.Gujral Punjab Technical University Kapurthala144603India Lovely Professional University Phagwara144411India Khalsa College of Engineering and Technology Amritsar143001India

Nodes in a mobile computing system are vulnerable to clone attacks due to their *** such attacks,an adversary accesses a few network nodes,generates replication,then inserts this replication into the network,potentially resulting in numerous internal network *** existing techniques use a central base station,which introduces several difficulties into the system due to the network’s reliance on a single point,while other ways generate more overhead while jeopardising network *** this research,an intelligent double hashing-based clone node identification scheme was used,which reduces communication and memory costs while performing the clone detection *** approach works in two stages:in the first,the network is deployed using an intelligent double hashing procedure to avoid any network collisions and then in the second,the clone node identification procedure searches for any clone node in the *** first phase verifies the node prior to network deployment,and then,whenever a node wants to interact,it executes the second level of ***-to-end delay,which is bound to increase owing to the injection of clone nodes,and packet loss,which is reduced by the double hashing technique,were used to evaluate the performance of the aforementioned approach.

关键词： Node authentication clone node mobile computing double hashing fault tolerance

Thermal radiation effect on unsteady threedimensional MHD flow of micropolar fluid over a horizontal surface of a parabola of revolution

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Propulsion and Power Research 2022年第1期11卷 129-142页

作者： s.R.R.Reddy P.bala Anki Reddy Center for Nonlinear systems Chennai Institute of TechnologyChennai600069T.N.India Department of Mathematics S.A.S.Vellore Institute of TechnologyVellore632014T.N.India

This paper explores the time-dependent magnetohydrodynamics(MHD)micropolar fluid flow over a three-dimensional variable stretching surface in the occurrence of radiation *** model time-dependent partial differential equations(PDE’s)in three independent variables are transformed into ordinary differential equations(ODE’s)by the suitable selfsimilarity *** perturbation method(HPM)and Runge-Kutta(RK)4^(th) order method along with shooting technique are used in the present *** also,HPM results are compared with Runge-Kutta(RK)4^(th) order method along with the shooting *** velocity,micro rotation in x and y directions,temperature,skin friction factor and heat transfer rates are examined for the emerging *** velocity profiles and momentum boundary layer thickness intensification with increasing values of the vortex viscosity *** higher value of a magnetic parameter declines the skin friction *** type of investigation may be profitable to the polymer fluids,exotic lubricants,electronic chips,artificial fibers,drawing of copper wires,etc.

关键词： Radiation parameter Magnetohydrodynamics Micropolar fluid Variable thickness sheet Homotopy perturbation method(HPM)

The assessment of time dependent flow of Williamson fluid with radiative blood flow against a wedge

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Propulsion and Power Research 2020年第1期9卷 87-99页

作者： K.subbarayudu s.suneetha P.bala Anki Reddy Department of Applied Mathematics Yogi Vemana UniversityKadapa516005India Department of Mathematics S.A.S.Vellore Institute of TechnologyVellore632014India

The present pagination reports both Brownian diffusion and thermophoresis aspects subject to magneto hydrodynamic Williamson fluid *** the flow is unsteady and blood is treated as Williamson fluid over a wedge with *** governing equations are transformed into ordinary differential equations by using similarity *** analytical solutions of the transformed governing equations are obtained by using the RK 4th order method along with shooting technique *** effects of various physical parameters such as Hartmann number,local Weissenberg number,radiation parameter,unsteadiness parameter,Prandtl number,Lewis number,Brownian diffusion,thermophoresis,wedge angle parameter,moving wedge parameter,on velocity,temperature,concentration,skin friction,heat transfer rate and mass transfer rate have been discussed in *** velocity and temperature profile deprives for larger We and an opposite trend is observed for *** radiation parameter is propositional to temperature and a counter behaviour is observed for Pr.

关键词： The present pagination reports both Brownian diffusion and thermophoresis aspects subject to magneto hydrodynamic Williamson fluid model. Assuming the flow is unsteady and blood is treated as Williamson fluid over a wedge with radiation. The governing equations are transformed into ordinary differential equations by using similarity variables. The analytical solutions of the transformed governing equations are obtained by using the RK 4th order method along with shooting technique solver. The effects of various physical parameters such as Hartmann number local Weissenberg number radiation parameter unsteadiness parameter Prandtl number Lewis number Brownian diffusion thermophoresis wedge angle parameter moving wedge parameter on velocity temperature concentration skin friction heat transfer rate and mass transfer rate have been discussed in detail. The velocity and temperature profile deprives for larger We and an opposite trend is observed for concentration. The radiation parameter is propositional to temperature and a counter behaviour is observed for Pr.

Analytical modeling of drain current and RF performance for double-gate fully depleted nanoscale sOI MOsFETs

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Journal of semiconductors 2012年第2期33卷 28-35页

作者： Rajiv sharma sujata Pandey shail bala Jain Department of Electronics and Communication Engineering Guru Gobind Singh Indraprastha UniversityDelhiIndia Department of Electronics and Communication Engineering Amity UniversitySector-125 NoidaIndia

A new 2D analytical drain current model is presented for symmetric double-gate fully depleted nanoscale sOI *** of device parameters like transconductance for double-gate fully depleted nanoscale sOI MOsFETs is also carried *** this work is concluded by modeling the cut-off frequency, which is one of the main figures of merit for analog/RF performance for double-gate fully depleted nanoscale sOI *** results of the modeling are compared with those obtained by a 2D ATLAs device simulator to verify the accuracy of the proposed model.

关键词： double-gate fully depleted silicon-on-insulator Poisson's equation radio frequency ATLAs

Voice to Face Recognition Using spectral ERB-DMLP Algorithms

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Computers, Materials & Continua 2022年第10期73卷 2187-2204页

作者： Fauzi A.bala Osman N.Ucan Oguz Bayat school of Engineering and Natural science Altinbas University34217Turkey College of Engineering Electrical and Electronic EngineeringMisurata UniversityLibya

Designing an authentication system for securing the power plants are important to allow only specific staffs of the power plant to access the certain blocks so that they can be restricted from using high risk-oriented *** authentication is also vital to prevent any security threats or risks like compromises of business server,release of confidential data *** conventional works attempted to accomplish better authentication,they lacked with respect to ***,the study aims to enhance the recognition rate by introducing a voice recognition system as a personal authentication based on Deep Learning(DL)due to its ability to perform effective *** study proposes Equivalent Rectangular Bandwidth and Deep Multi-Layer Perceptron(ERB-DMLP)as it has the ability to perform efficient and relevant feature extraction and faster *** algorithm also has the ability to establish effective correlation between voices and images and achieve the semantic relationship between *** preprocessing is initially performed to make it suitable for further processing by removing the noise and enhancing the quality of *** process is also vital to minimize the extra computations so that the overall efficacy of the system can be made flexible by considering the audio files as features and the images as labels to identify a person’s voice by classifying the extracted features from the ERB Feature *** is then passed as the input into DMLP model to classify the persons,and trained the model to make an accurate classification of audio with corresponding image labels,and perform the performance test based on the trained ***,relevant feature extraction and faster classification ability of the proposed work has made it explore better outcomes that is confirmed through results.

关键词： Authentication system power plant equivalent rectangular bandwidth deep multi-layer perceptron convolution neural network

A hybrid constriction coefficientbased particle swarm optimization and gravitational search algorithm for training multi-layer perceptron

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International Journal of Intelligent Computing and Cybernetics 2020年第2期13卷 129-165页

作者： sajad Ahmad Rather P.shanthi bala Department of Computer science School of Engineering and TechnologyPondicherry UniversityPuducherryIndia

Purpose-In this paper,a newly proposed hybridization algorithm namely constriction coefficient-based particle swarm optimization and gravitational search algorithm(CPsOGsA)has been employed for training MLP to overcome sensitivity to initialization,premature convergence,and stagnation in local optima problems of ***/methodology/approach-In this study,the exploration of the search space is carried out by gravitational search algorithm(GsA)and optimization of candidate solutions,*** is performed by particle swarm optimization(PsO).For training the multi-layer perceptron(MLP),CPsOGsA uses sigmoid fitness function for finding the proper combination of connection weights and neural biases to minimize the ***,a matrix encoding strategy is utilized for providing one to one correspondence between weights and biases of MLP and agents of ***-The experimental findings convey that CPsOGsA is a better MLP trainer as compared to other stochastic algorithms because it provides superior results in terms of resolving stagnation in local optima and convergence speed ***,it gives the best results for breast cancer,heart,sine function and sigmoid function datasets as compared to other participating ***,CPsOGsA also provides very competitive results for other ***/value-The CPsOGsA performed effectively in overcoming stagnation in local optima problem and increasing the overall convergence speed of ***,CPsOGsA is a hybrid optimization algorithm which has powerful characteristics of global exploration capability and high local exploitation *** the research literature,a little work is available where CPsO and GsA have been utilized for training *** only related research paper was given by Mirjalili et al.,in *** have used standard PsO and GsA for training simple ***,the work employed only three datasets and used the MsE performance metric for evaluating the efficiency

关键词： Neural network Feedforward neural network(FNN) Gravitational search algorithm(GsA) Particle swarm optimization(PsO) Hybridization CPsOGsA Multi-layer perceptron(MLP)