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Deep Learning Based Intelligent and Sustainable Smart Healthcare Application in Cloud-Centric IoT

Computers, Materials & Continua 2021年第2期66卷 1987-2003页

作者： k.v.praveen P.M.Joe Prathap S.Dhanasekaran I.S.Hephzi Punithavathi P.Duraipandy Irina v.Pustokhina Denis A.Pustokhin Department of Information Technology St.Peters College of Engineering and TechnologyChennai600054India Department of Information Technology RMD Engineering CollegeChennai601206India Department of Computer Science and Engineering Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of Computer Science and Engineering Sphoorthy Engineering CollegeHyderabad501510India Department of Electrical and Electronics Engineering J B Institute of Engineering and TechnologyHyderabad500075India Department of Entrepreneurship and Logistics Plekhanov Russian University of EconomicsMoscow117997Russia Department of Logistics State University of ManagementMoscow109542Russia

Recent developments in information technology can be attributed to the development of smart cities which act as a key enabler for next-generation intelligent systems to improve security,reliability,and *** healthcare sector becomes advantageous and offers different ways to manage patient information in order to improve healthcare service *** futuristic sustainable computing solutions in e-healthcare applications depend upon Internet of Things(IoT)in cloud computing *** energy consumed during data communication from IoT devices to cloud server is significantly high and it needs to be reduced with the help of clustering *** current research article presents a new Oppositional Glowworm Swarm Optimization(OGSO)algorithmbased clustering with Deep Neural Network(DNN)called OGSO-DNN model for distributed healthcare *** OGSO algorithm was applied in this study to select the Cluster Heads(CHs)from the available IoT *** selected CHs transmit the data to cloud server,which then executes DNN-based classification process for healthcare *** extensive simulation analysis was carried out utilizing a student perspective healthcare data generated from UCI repository and IoT devices to forecast the severity level of the disease among *** proposed OGSO-DNN model outperformed previous methods by attaining the maximum average sensitivity of 96.956%,specificity of 95.076%,the accuracy of 95.764%and F-score value of 96.888%.

关键词： IoT devices healthcare deep learning energy efficiency glowworm swarm optimization

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A Study on Outlier Detection and Feature Engineering Strategies in Machine Learning for Heart Disease Prediction

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Computer Systems Science & Engineering 2024年第5期48卷 1085-1112页

作者： varada Rajkumar kukkala Surapaneni Phani praveen Naga Satya koti Mani kumar Tirumanadham Parvathaneni Naga Srinivasu Department of Computer Science&Engineering(AIML) MLR Institute of TechnologyHyderabad500043India Department of Computer Science and Engineering Prasad V.Potluri Siddhartha Institute of TechnologyVijayawada520007India Department of Computer Science&Engineering Sir C.R.Reddy College of EngineeringEluru534001India Amrita School of Computing Amrita Vishwa VidyapeethamAmaravati522503India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil

This paper investigates the application ofmachine learning to develop a response model to cardiovascular problems and the use of AdaBoost which incorporates an application of Outlier Detection methodologies namely;Z-Score incorporated with GreyWolf Optimization(GWO)as well as Interquartile Range(IQR)coupled with Ant Colony Optimization(ACO).Using a performance index,it is shown that when compared with the Z-Score and GWO with AdaBoost,the IQR and ACO,with AdaBoost are not very accurate(89.0%vs.86.0%)and less discriminative(Area Under the Curve(AUC)score of 93.0%vs.91.0%).The Z-Score and GWO methods also outperformed the others in terms of precision,scoring 89.0%;and the recall was also found to be satisfactory,scoring 90.0%.Thus,the paper helps to reveal various specific benefits and drawbacks associated with different outlier detection and feature selection techniques,which can be important to consider in further improving various aspects of diagnostics in cardiovascular ***,these findings can enhance the knowledge of heart disease prediction and patient treatment using enhanced and innovativemachine learning(ML)*** findings when combined improve patient therapy knowledge and cardiac disease prediction through the use of cutting-edge and improved machine learning *** work lays the groundwork for more precise diagnosis models by highlighting the benefits of combining multiple optimization *** studies should focus on maximizing patient outcomes and model efficacy through research on these combinations.

关键词： Grey wolf optimization ant colony optimization Z-Score interquartile range(IQR) AdaBoost outlier

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Magnetic fabrics in characterization of magma emplacement and tectonic evolution of the Moyar Shear Zone,South India

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Geoscience Frontiers 2013年第1期4卷 113-122页

作者： P.Pratheesh v.Prasannakumar k.R.praveen Department of Geology University of KeralaKariavattom Campus.Thiruvananthapuram 695 581KeralaIndia

The Moyar Shear Zone （MSZ） of the South Indian granulite terrain hosts a prominent syenite pluton （-560 Ma） and associated NW-SE to NE-SW trending mafic dyke swarm （-65 Ma and 95 Ma）. Preliminary magnetic fabric studies in the mafic dykes, using Anisotropy of Magnetic Susceptibly （AMS） studies at low-field, indicate successive emplacement and variable magma flow direction. Magnetic lineation and foliation in these dykes are identical to the mesoscopic fabrics in MSZ mylonites, indicating shear zone guided emplacement. Spatial distribution of magnetic lineation in the dykes suggests a common conduit from which the source magma has been migrated. The magnetic foliation trajectories have a sigmoidal shape to the north of the pluton and curve into the MSZ suggesting dextral sense of shear. Identical fabric conditions for magnetic fabrics in the syenite pluton and measured field fabrics in mylonite indicate syntectonic emplacement along the Proterozoic crustal scale dextral shear zone with repeated reactivation history.

关键词： Magnetic fabrics Moyar Shear Zone Syenite pluton Mafic dykes Tectonic evolution

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The effect of pH on stability and thermal performance of graphene oxide and copper oxide hybrid nanofluids for heat transfer applications:Application of novel machine learning technique

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Journal of Energy Chemistry 2023年第7期82卷 359-374,I0009页

作者： praveen kumar kanti Prabhakar Sharma k.v.Sharma M.P.Maiya Department of Mechanical Engineering Indian Institute of Technology MadrasChennai 600036India Department of Mechanical Engineering Delhi Skill and Entrepreneurship UniversityDelhi 110089India Center for Energy Studies Department of Mechanical EngineeringJNTUH College of EngineeringKukatpallyHyderabad 500085Telangan1India

This paper investigates the effects of pH on stability and thermal properties of copper oxide(CuO),graphene oxide(GO),and their hybrid nanofluid(HNF)at different mixing ***,sol-gel and Hummer’s method was employed for the synthesis of CuO and GO nanoparticles(NPs),and they are characterized with various *** effects of two different surfactants were analyzed on nanofluid’s(NF’s)stability at different pH *** properties like thermal conductivity(TC)and viscosity(vST)of NFs were measured at different volume concentration(0.1 vol%to 1.0 vol%)and temperature range of 30-60℃,*** TC and vST of GO/CuO(50:50)HNF are higher than that of GO/CuO(20:80).The figure of merit(FOM)is determined for the studied *** correlations were presented to calculate the TC as well as vST of *** modern novel machine learning-based ensemble approaches were employed for predictive model development for TC and vST of considered *** comparison of prognostic models with Taylor’s diagram revealed that Bayesian optimized support vector machine(BoASvM)was superior to Bayesian optimized boosted regression trees(BoA-BRT)for both TC and vST models.

关键词： CuO Figure of merit Graphene oxide Machine learning pH Stability

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Performance Investigation of Hybrid and Conventional Pv Array Configurations for Grid-connected/Standalone Pv Systems

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CSEE Journal of Power and Energy Systems 2022年第3期8卷 682-695页

作者： praveen kumar Bonthagorla Suresh Mikkili Department of Electrical and Electronics Engineering National Institute of TechnologyGoaIndia

Currently,the critical challenge in solar photovoltaic(Pv)systems is to make them energy *** of the key factors that can reduce the Pv system power output is partial shading conditions(PSCs).The reduction in power output not only depends on a shaded region but also depends on the pattern of shading and physical position of shaded modules in the *** to PSCs,mismatch losses are induced between the shaded modules which can cause several peaks in the output power-voltage(P-v)*** series-parallel(SP),total-cross-tied(TCT),bridge-link(BL),honey-comb(HC),and triple-tied(TT)configurations are considered as conventional configurations,which are severely affected by PSCs and generate more mismatch power losses along with a greater number of local *** reduce the effect of PSCs,hybrid Pv array configurations,such as series-parallel:total-cross-tied(SP-TCT),bridge-link:total-cross-tied(BL-TCT),honey-comb:total-cross-tied(HC-TCT)and bridge-link:honey-comb(BL-HC)are *** paper briefly discusses the modeling,simulation and performance evaluation of hybrid and conventional 7×7 Pv array configurations during different PSCs in a Matlab/Simulink *** performance of hybrid and conventional Pv configurations are evaluated and compared in terms of global maximum power(GMP),voltage and currents at GMP,open and short circuit voltage and currents,mismatch power loss(MPL),fill factor,efficiency,and a number of local maximum power peaks(LMPPs).

关键词： Fill factor global maximum power(GMP) hybrid Pv array configuration maximum power point(MPP) mismatch power loss(MPL) partial shading triple-tied(TT)

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Methane hydrates:A future clean energy resource

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Chinese Journal of Chemical Engineering 2019年第9期27卷 2026-2036页

作者： Zhenyuan Yin praveen Linga Department of Chemical and Biomolecular Engineering National University of Singapore117585Singapore Lloyd's Register Singapore Pte.Ltd. 138522Singapore

Natural gas has been considered as the best transition fuel into the future carbon constraint *** ever-increasing demand for natural gas has prompted expanding research and development activities worldwide for exploring methane hydrates as a future energy *** its vast global resource volume(~3000 trillion cubic meter CH4)and high energy storage capacity(170 CH4 v/v methane hydrate),recovering energy from naturally-occurring methane hydrate has attracted both academic and industry interests to demonstrate the technical feasibility and economic *** this review paper,we highlight the recent advances in fundamental researches,seminal discoveries and implications from ongoing drilling programs and field production tests,the impending knowledge gaps and the future perspectives of recovering energy from methane *** further emphasize the current scientific,technological and economic challenges in realizing long-term commercial gas production from methane hydrate *** continuous growth of the corresponding experimental studies in China should target these specific challenges to narrow the knowledge gaps between laboratory-scale investigations and reservoir-scale ***,we briefly discuss both the environmental and geomechanical issues related to exploiting methane hydrate as the future energy resource and believe that they should be of paramount importance in the future development of novel gas production technologies.

关键词： Methane hydrates Energy recovery Gas production Energy resource Recent advance Future outlook

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Optimal Pv Array Configuration for Extracting Maximum Power Under Partial Shading Conditions by Mitigating Mismatching Power Losses

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CSEE Journal of Power and Energy Systems 2022年第2期8卷 499-510页

作者： praveen kumar Bonthagorla Suresh Mikkili the Electrical and Electronics Engineering Department National Institute of Technology Goa403401India

The grid-connected or standalone Pv central inverter architecture is comprised of several Pv modules which are connected in different ways to form the Pv *** power generation capability of the Pv array is primarily affected by partial shading conditions(PSC).Due to PSCs,the power output of the Pv array is dramatically reduced,and mismatching losses are induced in the Pv *** on the extent of these problems,multiple peaks also appear in the power-voltage(P-v)curve,which makes it very difficult to track the global maximum power point(GMPP).The main objective of this research paper is to model and simulate the series(S),series-parallel(SP),bridge-link(BL),honey-comb(HC),total-cross-tied(TCT)and proposed triple-tied(TT)solar Pv array configurations under various partial shading *** performance of all Pv configurations is evaluated under a uniform approach,considering eight different shading *** performance of the considered Pv configurations is analyzed in terms of their mismatching power losses,fill factors,efficiency,global maximum power points(GMPPs),local maximum power points(LMPPs),voltages and currents at GMPPs,open circuit voltage and short circuit *** above-mentioned Pv configurations are modeled and simulated in a Matlab/Simulink environment by considering the kC-200GT module parameters.

关键词： Photo voltaic(Pv) Pv array configurations triple-tied(TT) maximum power point(MPP) partial shading mismatching power losses fill factor efficiency

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Performance of magnetorheological elastomer based torsional vibration isolation system for dynamic loading conditions

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Journal of Central South University 2020年第1期27卷 144-154页

作者： praveen Shenoy k kUCHIBHATLA Sai Aditya Raman SINGH Abhishek kumar GANGADHARAN k v Department of Mechanical Engineering National Institute of Technology KarnatakaSurathkalMangalore-575025India Centre for System Design National Institute of Technology KarnatakaSurathkalMangalore-575025India

vibration isolation is an effective method to mitigate unwanted disturbances arising from dynamic loading conditions. With smart materials as suitable substitutes, the conventional passive isolators have attained attributes of semi-active as well as the active control system. In the present study, the non-homogenous field-dependent isolation capabilities of the magnetorheological elastomer are explored under torsional vibrations. Torsional natural frequency was measured using the serial arrangement of accelerometers. Novel methods are introduced to evaluate the torsional stiffness variations of the isolator for a semi-definite and a motor-coupled rotor system. For the semi-definite system, the isolation effect was studied using the frequency response functions from the modal analysis. The speed-dependent variations for motor-coupled rotor system were assessed using the shift in frequency amplitudes from torque transducers. Finite element method magnetics was used to study the variations in the non-homogenous magnetic field across the elastomer. The response functions for the semi-definite rotor system reveal a shift in the frequency in the effect of the magnetic field. Speed-dependent variations in the frequency domain indicate an increment of 9% in the resonant frequency of the system.

关键词： torsional vibration isolation semi-definite system magnetorheological elastomer speed-dependent isolation

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Inhibition Effects of Chloroquinolines on Corrosion of Mild Steel in Hydrochloric Acid Solution

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Journal of Iron and Steel Research International 2014年第8期21卷 804-808页

作者： A.v.Shanbhag T.v.venkatesha B.M.praveen S.B.Abd Hamid Department of Chemistry S.D.M.College Department of P.G.Studies and Research in Chemistry Kuvempu University Department of Chemistry Srinivas School of Engineering Nanotechnology and Catalysis Research Centre(NANOCAT) IPSUniversity of Malaya

The corrosion inhibition efficiencies of four compounds namely N-[（1E）-（2-chloroquinolin-3-yl）methylene]-N-phenylamine（CQMA）,N-（1E）-（2-chloroquinolin-3-yl）methylene]-N-（4-fluorophenyl）amine（CQMFA）,N-（4-chloro phenyl）-N-[（1E）-（2-chloroquinolin-3-yl）methylene]amine（CQMCA）,and N-（4-bromo phenyl）-N-[（1E）-（2-chloroquinolin-3-yl）methylene]amine（CQMBA）on mild steel corrosion in hydrochloric acid media were investigated using mass loss,potentiodynamic polarization and electrochemical impedance *** all the studied inhibitors the inhibition efficiency values were found to increase with increasing concentration up to 5.00×10-4 mol·*** electron microscopic technique showed the formation of a thick film on the steel surface in the presence of inhibitors.

关键词： adsorption isotherm corrosion inhibition mild steel chloroquinoline mixed inhibitor

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Effect of rotation in generalized thermoelastic solid under the influence of gravity with an overlying infinite thermoelastic fluid

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Applied Mathematics and Mechanics(English Edition) 2009年第12期30卷 1505-1518页

作者： praveen Ailawalia Naib Singh Narah Department of Mathematics M.M. Engineering CollegeMaharishi Markandeshwar University Department of Mathematics D.A.V. College

The present problem is concerned with the study of deformation of a rotating generalized thermoelastic solid with an overlying infinite thermoelastic fluid due to different forces acting along the interface under the influence of *** components of displacement,force stress,and temperature distribution are first obtained in Laplace and Fourier domains by applying integral transforms,and then obtained in the physical domain by applying a numerical inversion *** particular cases are also discussed in the context of the *** results are also presented graphically to show the effect of rotation and gravity in the medium.

关键词： rotation gravity generalized thermoelasticity thermoelastic fluid Laplaceand Fourier transforms temperature distribution

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