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Enhanced Energy Efficient with a Trust Aware in MANET for Real-Time Applications

Computers, Materials & Continua 2023年第4期75卷 587-607页

作者： M.v.Narayana vadla Pradeep kumar Ashok kumar Nanda Hanumantha Rao Jalla Subba Reddy Chavva Department of CSE Guru Nanak Institutions Technical CampusHyderabadRanga Reddy DistrictTelangana501506India Department of CSE B V Raju Institute of TechnologyNarsapurMedakTelangana502313India Department of CSE T.R.R.Government Degree College KandukurKandukurA.P.523105India Department of IT VFST&Research(Deemed to be University)VadlamudiA.P.522213India

Mobile ad hoc networks (MANETs) are subjected to attack detectionfor transmitting and creating new messages or existing message *** attacker on another node evaluates the forging activity in themessage directly or indirectly. Every node sends short packets in a MANETenvironment with its identifier, location on the map, and time through *** attackers on the network broadcast the warning message usingfaked coordinates, providing the appearance of a network collision. Similarly,MANET degrades the channel utilization performance. Performancehighly affects network performance through security algorithms. This paperdeveloped a trust management technique called Enhanced Beacon TrustManagement with Hybrid Optimization (EBTM-Hyopt) for efficient clusterhead selection and malicious node detection. It tries to build trust amongconnected nodes and may improve security by requiring every participatingnode to develop and distribute genuine, accurate, and trustworthy materialacross the network. Specifically, optimized cluster head election is done periodicallyto reduce and balance the energy consumption to improve the lifetimenetwork. The cluster head election optimization is based on hybridizingParticle Swarm Optimization (PSO) and Gravitational Search OptimizationAlgorithm (GSOA) concepts to enable and ensure reliable routing. Simulationresults show that the proposed EBTM-HYOPT outperforms the state-of-thearttrust model in terms of 297.99 kbps of throughput, 46.34% of PDR, 13%of energy consumption, 165.6 kbps of packet loss, 67.49% of end-to-end delay,and 16.34% of packet length.

关键词： MANET malicious nodes clustering trust management beacon message

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A stochastic SIR model for analysis of testosterone suppression of CRH-stimulated cortisol in men

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International Journal of Modeling, Simulation, and Scientific Computing 2022年第3期13卷 223-229页

作者： A.Manickam Pushpendra kumar K.Dasunaidu v.Govindaraj Dheeraj kumar Joshi School of Advanced Sciences 8 Languages Department of Mathematics vIT Bhopal University Kottri Kalan(village)466114 Sehore(District) Madhya PradeshIndia Department of Mathematics National Institute of Technology Puducherry Karaikal 609609 India Department of Basic Sciences 8 Humanities GMR Institute of Technology Rajam 532127 Srikakulam(Dt)Andhra PradeshIndia DIT University Dehradun 248009 UttarakhandIndiamanickammaths2011@***.kxumarsaraswatpk@*****dasunaidu.k@gmrit.edu.in ttgovindaraj.maths@*** t+maths.dj44010@***

A stochastic SIR influenza vertical transmission model is examined in this paper where vaccination and an incidence rate that is not linear are *** determine whether testosterone regulates lower sintering HPA axis function in males,we used a stochastic SIR epidemic procedure with divergent influences on ACTH and *** suppressive effects on cortisol can be attributed to a peripheral(adrenal)*** that,we came to the conclusion that experimental solutions have been discovered and the requisite statistical findings have been ***,we deduce that the given mathematical model and the results are relevant to medical *** the future,this research can be further extended to simulate more results in the medical field.

关键词： ACTH cortisol CRH estradiol HPA SIR model testosterone

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A Study on the Nonlinear Caputo-Type Snakebite Envenoming Model with Memory

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Computer Modeling in Engineering & Sciences 2023年第9期136卷 2487-2506页

作者： Pushpendra kumar vedat Suat Erturk v.Govindaraj Dumitru Baleanu Department of Mathematics National Institute of Technology PuducherryKaraikal609609India Department of Mathematics Faculty of Arts and SciencesOndokuz Mayis UniversityAtakumSamsun55200Turkey Department of Mathematics Cankaya UniversityAnkara06530Turkey Institute of Space Sciences MagureleBucharestR76900Romania Department of Computer Science and Mathematics Lebanese American UniversityBeirut11022801Lebanon

In this article,we introduce a nonlinear Caputo-type snakebite envenoming model with *** well-known Caputo fractional derivative is used to generalize the previously presented integer-order model into a fractionalorder *** numerical solution of the model is derived from a novel implementation of a finite-difference predictor-corrector(L1-PC)scheme with error estimation and stability *** proof of the existence and positivity of the solution is given by using the fixed point *** the necessary simulations,we justify that the first-time implementation of the proposedmethod on an epidemicmodel shows that the scheme is fully suitable and time-efficient for solving epidemic *** work aims to show the novel application of the given scheme as well as to check how the proposed snakebite envenoming model behaves in the presence of the Caputo fractional derivative,including memory effects.

关键词： Mathematical model Caputo fractional derivative L1-predictor-corrector method error estimation stability graphical simulations

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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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Relationship between Nutritional Support and Tuberculosis Treatment Outcomes in West Bengal, India

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Journal of Tuberculosis Research 2016年第4期4卷 213-219页

作者： Blesson Samue Tyson volkmann Sushma Cornelius Sugata Mukhopadhay MejoJose Kaushik Mitra Ajay M. v. kumar John E. Oeltmann Sidhajyoti Parija Aslesh Ottapura Prabhakaran Patrick K. Moonan vineet K. Chadha World vision India New Delhi India Centers for Disease Control and Prevention Atlanta USA Burdwan Medical College West Bengal India International Union against Tuberculosis and Lung Disease South-East Asia Regional Office New Delhi India Southern Health Improvement Samity West Bengal India Department of Community Medicine Academy of Medical Sciences Pariyaram India Epidemiology and Research Division National Tuberculosis Institute Bangalore India

Introduction: Poverty and poor nutrition are associated with the risk of developing tuberculosis (TB). Socioeconomic factors may interfere with anti-tuberculosis treatment compliance and its outcome. We examined whether providing nutritional support (monthly supply of rice and lentil beans) to TB patients who live below the poverty line was associated with TB treatment outcome. Methods: This was a retrospective cohort study of sputum smear-positive pulmonary TB patients living below the poverty line (income of ved nutritional support with those who did not. A log-binomial regression model was used to assess the relation between nutritional support and unsuccessful treatment outcome (loss-to-follow-up, treatment failure and death). Results: Of 173 TB patients provided nutritional support, 15 (9%) had unsuccessful treatment outcomes, while 84 (21%) of the 400 not provided nutrition support had unsuccessful treatment outcomes (p vious treatment, those who received nutritional support had a 50% reduced risk of unsuccessful treatment outcome than those who did not receive nutritional support (Relative Risk: 0.51;95% Confidence Intervals: 0.30 - 0.86). Conclusion: Under programmatic conditions, monthly rations of rice and lentils were associated with lower risk of unsuccessful treatment outcome among impoverished TB patients. Given the relatively small financial commitment needed per patient ($10 per patient per month), the national TB programme should consider scaling up nutritional support among TB patients living below the poverty line.

关键词： Nutritional Support Poverty Pulmonary Tuberculosis India

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Breast Mammogram Analysis and Classification Using Deep Convolution Neural Network

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Computer Systems Science & Engineering 2022年第10期43卷 275-289页

作者： v.Ulagamuthalvi G.Kulanthaivel A.Balasundaram Arun kumar Sivaraman Department of Computer Science and Engineering Sathyabama UniversityChennai600119India Department of Electrical Electronics and Communication EngineeringNITTTRChennai600113India Centre for Cyber Physical Systems School of Computer Science and EngineeringVellore Institute of Technology(VIT)Chennai600127India School of Computer Science and Engineering Vellore Institute of Technology(VIT)Chennai600127India

One of the fast-growing disease affecting women’s health seriously is breast *** is highly essential to identify and detect breast cancer in the earlier *** paper used a novel advanced methodology than machine learning algorithms such as Deep learning algorithms to classify breast cancer *** learning algorithms are fully automatic in learning,extracting,and classifying the features and are highly suitable for any image,from natural to medical *** methods focused on using various conventional and machine learning methods for processing natural and medical *** is inadequate for the image where the coarse structure matters *** of the input images are downscaled,where it is impossible to fetch all the hidden details to reach accuracy in *** deep learning algorithms are high efficiency,fully automatic,have more learning capability using more hidden layers,fetch as much as possible hidden information from the input images,and provide an accurate *** this paper uses AlexNet from a deep convolution neural network for classifying breast cancer in mammogram *** performance of the proposed convolution network structure is evaluated by comparing it with the existing algorithms.

关键词： Medical image processing deep learning convolution neural network breast cancer feature extraction classification

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Optimal Algorithms for Load Balancing in Optical Burst Switching Networks

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Computer Systems Science & Engineering 2022年第8期42卷 739-749页

作者： K.Arun kumar v.R.venkatasubramani S.Rajaram Research Scholar Department of ICEAnna UniversityChennai600025India Department of ECE Thiagarajar College of EngineeringMadurai625015India

Data packet drop can happen in Optical Burst-Switched(OBS)when two data bursts are competing on the same ***,many techniques have been developed to solve this problem but they do not consider the ***,it is necessary to balance the load system in the OBS *** Ant Colony Optimization(ACO)technique can be applied to determine the straight and the safest ***,the ACO technique raises both power utilization as well as the execution *** this study,Cuckoo Search(CS)and ACO methods based approach is proposed to avoid the congestion and load balancing in the OBS *** strategy evaluates the intensity of hotspot data and then launches the congestion rate optimization process that depends on their load *** congestion rate optimization represents the available bandwidth,data distribution rate,queue size,and access rate,and also these factors are optimized through the CS *** fitness utility in the CS technique adjusts the distribution rate in the OBS network,and the proposed ACO technique solves the energy utilization *** simulation results proved that the presented strategy evades both the end-to-end delay as well as the possibility of packet drop.

关键词： Ant colony optimization cuckoo search optical burst-switched load balancing congestion control

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Design of Multi-valued Logic Circuit Using Carbon Nano Tube Field Transistors

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Computers, Materials & Continua 2022年第12期73卷 5283-5298页

作者： S.v.Ratankumar L.Koteswara Rao M.Kiran kumar Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationAziz NagarHyderabad500075TelanganaIndia Department of Electronics and Communication Engineering RGM College of Engineering and TechnologyNandyal518501Andhra PradeshIndia Department of Electrical and Electronics Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGuntur522502Andhra PradeshIndia

The design of a three-input logic circuit using carbon nanotube field effect transistors(CNTFETs)is *** logic must be an exact replacement for dual logic since it performs straightforwardly in digital devices,which is why this design is so popular,and it also reduces chip area,both of which are examples of circuit *** proposed module we have investigated is a triple-logic-based one,based on advanced technology CNTFETs and an emphasis on minimizing delay times at various values,as well as comparisons of the design working with various load *** the proposed design with the existing design,the delay times was reduced from 66.32 to 16.41 ps,i.e.,a 75.26%***,the power dissipation was not optimized,and increased by 1.44%compared to the existing *** number of transistors was also reduced,and the product of power and delay(P∗D)achieved a value of 0.0498053 *** improvement at 1 v was also achieved.A load capacitance(fF)was measured at different values,and the average delay measured for different values of capacitance had a maximum of 83.60 ps and a minimum of 22.54 ps,with a range of 61.06 *** power dissipations ranged from a minimum of 3.38μW to a maximum of 6.49μ*** on these results,the use of this CNTFET half-adder design in multiple Boolean circuits will be a useful addition to circuit design.

关键词： Carbon nanotube field effect transistor(CNTFET) multivalued logic(MvL) ternary adder Hewlett simulation program with integrated circuit emphasis(HSPICE) chirality(nm) adder

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Modelling reference evapotranspiration using gene expression programming and artificial neural network at Pantnagar,India

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Information Processing in Agriculture 2023年第4期10卷 547-563页

作者： Pangam Heramb Pramod kumar Singh K.v.Ramana Rao A.Subeesh Division of Irrigation and Drainage Engineering ICAR-Central Institute of Agricultural EngineeringBhopal 462038India Department of Irrigation and Drainage Engineering G.B.Pant University of Agriculture and TechnologyPantnagar 263145India Division of Agricultural Mechanization ICAR-Central Institute of Agricultural EngineeringBhopal 462038India

Evapotranspiration is an essential component of the hydrological cycle that is of particular interest for water resource *** quantification is helpful in irrigation scheduling,water balance studies,water allocation,*** of reference evapotranspiration(ET0)using both gene expression programming(GEP)and artificial neural network(ANN)techniques was done using the daily meteorological data of the Pantnagar region,India,from 2010 to 2019.A total of 15 combinations of inputs were used in developing the ET0 *** model with the least number of inputs consisted of maximum and minimum air temperatures,whereas the model with the highest number of inputs consisted of maximum air temperature,minimum air temperature,mean relative humidity,number of sunshine hours,wind speed at 2mheight and extra-terrestrial radiation as inputs and with ET0 as the output for all the *** the GEP models were developed for a single functional set and pre-defined genetic operator values,while the best structure in each ANN model was found based on the performance during the testing *** was found that ANN models were superior to GEP models for the estimation *** was evident from the reduction in RMSE values ranging from 2%to 56%during training and testing phases in all the ANN models compared with GEP *** ANN models showed an increase of about 0.96%to 9.72%of R2 value compared to the respective GEP *** comparative study of these models with multiple linear regression(MLR)depicted that the ANN and GEP models were superior to MLR models.

关键词： Artificial Neural Networks Evolutionary algorithms Gene Expression Programming Machine Learning Regression Analysis Reference evapotranspiration models

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Phosphorus Starvation Tolerance in Rice Through Combined Physiological,Biochemical,and Proteome Analyses

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Rice science 2023年第6期30卷 613-631页

作者： Prathap v Suresh kumar Nand Lal MEENA Chirag MAHESHWARI Monika DALAL Aruna TYAGI Division of Biochemistry Indian Council of Agricultural Research-Indian Agricultural Research InstituteNew Delhi 110012India Division of Germplasm Evaluation National Bureau of Plant Genetic ResourcesNew Delhi 110012India National Institute for Plant Biotechnology New Delhi 110012India

Phosphorus(P) deficiency limits the growth,development,and productivity of *** better understand the underlying mechanisms in P-deficiency tolerance and the role of Pup1 QTL in enhancing P use efficiency(PUE) for the development of P-efficient rice cultivars,a pair of contrasting rice genotypes(Pusa-44 and NIL-23) was applied to investigate the morpho-physio-biochemical and proteomic variation under P-starvation *** rice genotypes were grown hydroponically in a PusaRich medium with adequate P(16 mg/kg,+P) or without P(0 mg/kg,-P) for 30 d.P-starvation manifested a significant reductions in root and shoot biomass,shoot length,leaf area,total chlorophyll,and P,nitrogen and starch contents,as well as protein kinase *** stress increased root-to-shoot biomass ratio,root length,sucrose content,and acid phosphatase activity,particularly in the P-tolerant genotype(NIL-23).Comparative proteome analysis revealed several P metabolism-associated proteins(including OsCDPKs,OsMAPKs,OsCPKs,OsLecRK2,and OsSAPks) to be expressed in the shoot of NIL-23,indicating that multiple protein kinases were involved in P-starvation/deficiency ***,the up-regulated expression of OsrbcL,OsABCG32,OsSUS5,OsPoll-like B,and ClpC2 proteins in the shoot,and OsACA9,OsACA8,OsSPS2F,OsPP2C15,and OsBiP3 in the root of NIL-23,indicated their role in P-starvation stress control through the Pup1 QTL. Thus,our findings indicated that-P stress-responsive proteins,in conjunction with morpho-physio-biochemical modulations,improved PUE and made NIL-23 a P-deficiency tolerant genotype due to the introgression of the Pup1 QTL in the Pusa-44 background.

关键词： phosphorus deficiency Pup1 QTL protein kinase acid phosphatase proteome analysis rice

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