检索结果-南通市图书馆

Stabilizing Energy Consumption in Unequal Clusters of Wireless Sensor Networks

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2020年第7期64卷 81-96页

作者： Nithya Rekha sivakumar Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

In the past few decades,Energy Efficiency(EE)has been a significant challenge in Wireless Sensor Networks(WSNs).WSN requires reduced transmission delay and higher throughput with high quality services,it further pays much attention in increased energy consumption to improve the network *** collect and transmit data Clustering based routing algorithm is considered as an effective *** Head(CH)acts as an essential role in network connectivity and perform data transmission and data aggregation,where the energy consumption is superior to non-CH *** clustering approaches attempts to cluster nodes of same ***,owing to randomly distributed node distribution,a cluster with equal nodes is not an obvious possibility to reduce the energy *** resolve this issue,this paper provides a novel,Balanced-Imbalanced Cluster Algorithm(B-IBCA)with a Stabilized Boltzmann Approach(SBA)that attempts to balance the energy dissipation across uneven clusters in WSNs.B-IBCA utilizes stabilizing logic to maintain the consistency of energy consumption among sensor nodes’.So as to handle the changing topological characteristics of sensor nodes,this stability based Boltzmann estimation algorithm allocates proper radius amongst the sensor *** simulation shows that the proposed B-IBCA outperforms effectually over other approaches in terms of energy efficiency,lifetime,network stability,average residual energy and so on.

关键词： WSN stability cluster head node balancing average residual energy

Strength Characteristics of Treated Soil with Proposed Layer Formation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Wuhan University of Technology(Materials Science) 2023年第1期38卷 117-135页

作者： N sivakumar A Mandal Srinivasan venkatraman Department of Civil Engineering Visvesvaraya National Institute of TechnologyNagpur-440010India

The engineering characteristics of the soil,soil-fly ash and fly ash-lime,were examined to utilize as base layer material in civil *** influence of fly ash percentage and the effect of curing on California bearing ratio(CBR)and unconfined compressive strength(UCS),of soil and soil-fly ash mixing and layered system were examined to estimate the optimum *** volumetric swelling of the optimal mixture was estimated to be within the allowable *** microscope analysis and X-ray diffraction tests were performed.A model test analyses with three layers were conducted by finite element method and stress-strain behavior was observed.

关键词： Scanning electron microscopy simulation sustainable materials waste reduction X-ray diffraction

Lunar surface mineralogy using hyperspectral data： Implications for primordial crust in the Earth-Moon system

在线全文

学校读者我要写书评

暂无评论

Geoscience Frontiers 2017年第3期8卷 457-465页

作者： V. sivakumar Centre for Development of Advanced Computing (C-DAC) CDAC Innovation Park Pune 411008 India Department of Geology Periyar University Salem 636011 India Department of Industries and Earth Sciences Tamil University Tanjore 613010 India Centre for Tectonics Resources and Exploration Department of Earth Sciences University of Adelaide SA 5005 Australia School of Earth Sciences and Resources China University of Geosciences Belting 29 Xueyuan Road Beijing 100083 China Faculty of Science Kochi University Kochi 780-8520 Japan

Mineralogy of the Lunar surface provides important clues for understanding the composition and evo- lution of the primordial crust in the Earth-Moon system. The primary rock forming minerals on the Moon such as pyroxene, olivine and plagioclase are potential tools to evaluate the Lunar Magma Ocean （LMO） hypothesis. Here we use the data from Moon Mineralogy Mapper （M3） onboard the Chandrayaan- 1 project of India, which provides Visible/Near Infra Red （NIR） spectral data （hyperspectral data） of the Lunar surface to gain insights on the surface mineralogy. Band shaping and spectral profiling methods are used for identifying minerals in five sites： the Moscoviense basin, Orientale basin, Apollo basin, Wegener crater-highland, and Hertzsprung basin. The common presence of plagioclase in these sites is in conformity with the anorthositic composition of the Lunar crust. Pyroxenes, olivine and Fe-Mg-spinel from the sample sites indicate the presence of gabbroic and basaltic components. The compositional difference in pyroxenes suggests magmatic differentiation on the Lunar surface. Olivine contains OH/H20 band, indicating hydrous phase in the primordial magmas.

关键词： Moon Mineralogy Mapper Lunar Magma Ocean Primordial crust Magmatic differentiation Chandrayaan-1

Ensemble Deep Learning for IoT Based COVID 19 Health Care Pollution Monitor

在线全文

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2023年第2期35卷 2383-2398页

作者： Nithya Rekha sivakumar Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Internet of things(IoT)has brought a greater transformation in health-care sector thereby improving patient care,minimizing treatment *** pre-sent method employs classical mechanisms for extracting features and a regression model for *** methods have failed to consider the pollu-tion aspects involved during COVID 19 *** Ensemble Deep Learning and Framingham Feature Extraction(FFE)techniques,a smart health-care system is introduced for COVID-19 pandemic disease *** Col-lected feature or data via predictive mechanisms to form pollution *** maps are used to implement real-time countermeasures,such as storing the extracted data or feature in a Cloud server to minimize concentrations of air *** integrated with patient management systems,this solution would minimize pollution emitted via patient’s sensors by offering spaces in the cloud server when pollution thresholds are ***,the Gini Index factor infor-mation gain technique eliminates unimportant and redundant attributes while selecting the most relevant,reducing computing overhead and optimizing system ***,the COVID-19 disease prognosis ensemble deep learning-based classiﬁer is *** analysis is planned to measure the prediction accuracy,error,precision and recall for different numbers of *** results show that prediction accuracy is improved by 8%,error rate was reduced by 47%and prediction time is minimized by 36%compared to exist-ing methods.

关键词： Internet of Things Covid-19 ensemble deep learning framingham feature extraction

Selection of Machining Datum and Allocation of Tolerance through Tolerance Charting Technique

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Chinese Journal of Mechanical Engineering 2012年第4期25卷 697-705页

作者： THILAK Manoharan sivakumar Karuppan JAYAPRAKASH Govindharajalu Department of Mechanical Engineering TRP Engineeering CollegeTiruchirappalli-621105TamilNaduIndia Department of Mechanical Engineering Bannari Amman Institute of TechnologySathyamangalam-638401TamilNaduIndia Department of Mechanical Engineering Shivani Engineering CollegeTiruchirappalli-620009TamilNaduIndia

Tolerance charting is an effective tool to determine the optimal allocation of working dimensions and working tolerances such that the blueprint dimensions and tolerances can be achieved to accomplish the cost *** selection of machining datum and allocation of tolerances are critical in any machining process planning as they directly affect any setup methods/machine tools selection and machining *** paper mainly focuses on the selection of optimum machining datums and machining tolerances simultaneously in process planning.A dynamic tolerance charting constraint scheme is developed and implemented in the optimization *** optimization model is formulated for selecting machining datum and tolerances and implemented with an algorithm namely Elitist Non-Dominated Sorting Genetic Algorithm（NSGA-II）.The computational results indicate that the proposed methodology is capable and robust in finding the optimal machining datum set and tolerances.

关键词： tolerance allocation tolerance charting elitist non-dominated sorting genetic algorithm-II.

Mosquito adulticidal and repellent activities of botanical extracts against malarial vector,Anopheles stephensi Liston(Diptera:Culicidae)

在线全文

学校读者我要写书评

暂无评论

Asian Pacific Journal of Tropical Medicine 2011年第12期4卷 941-947页

作者： Marimuthu Govindarajan Rajamohan sivakumar Division of Vector Biology and Phytochemistry Department of ZoologyAnnamalai UniversityAnnamalai Nagar - 608 002Tamil NaduIndia

ObjectiveTo determine the adulticidal and repellent activities of different solvent leaf extracts of Eclipta alba (E. alba) and Andrographis paniculata (A. paniculata) against malarial vector, Anopheles stephensi (An. stephensi).MethodsAdulticidal efficacy of the crude leaf extracts of E. alba and A. paniculata with five different solvents like benzene, hexane, ethyl acetate, methanol and chloroform was tested against the five to six day old adult female mosquitoes of An. stephensi. The adult mortality was observed after 24 h under the laboratory conditions. The repellent efficacy was determined against An. stephensi mosquito species at three concentrations viz., 1.0, 2.5 and 5.0 mg/cm2 under laboratory conditions.ResultsAmong the tested solvents the maximum efficacy was observed in the methanol extract. The LC50 and LC90 values of E. alba and A. paniculata against adults of An. stephensi were 150.36, 130.19 ppm and 285.22, 244.16 ppm, respectively. No mortality was observed in controls. The chi-square values were significant at P<0.05 level. Methanol extract of E. alba and A. paniculata was produce maximum repellency against An. stephensi.ConclusionsFrom the results it can be concluded the crude extract of E. alba and A. paniculata was an excellent potential for controlling An. stephensi mosquitoes.

关键词： Adulticidal activity Repellent activity Anopheles stephensi Eclipta alba Andrographis paniculata

Deep Neural Artificial Intelligence for IoT Based Tele Health Data Anal

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2022年第3期70卷 4467-4483页

作者： Nithya Rekha sivakumar Ahmed Zohair Ibrahim Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11671Saudi Arabia

Tele health utilizes information and communication mechanisms to convey medical information for providing clinical and educational *** makes an effort to get the better of issues of health service delivery involving time factor,space and laborious terrains,validating cost-efficiency and finer ingress in both developed and developing *** health has been categorized into either real-time electronic communication,or store-andforward *** recent years,a third-class has been perceived as remote healthcare monitoring or tele health,presuming data obtained via Internet of Things(IOT).Although,tele health data analytics and machine learning have been researched in great depth,there is a dearth of studies that entirely concentrate on the progress of ML-based techniques for tele health data analytics in the IoT healthcare *** by this fact,in this work a method called,Weighted Bayesian and Polynomial Taylor Deep Network(WB-PTDN)is proposed to improve health prediction in a computationally efficient and accurate ***,the Independent Component Data Arrangement model is designed with the objective of normalizing the data obtained from the Physionet ***,with the normalized data as input,Weighted Bayesian Feature Extraction is applied to minimize the dimensionality involved and therefore extracting the relevant features for further health risk ***,to obtain reliable predictions concerning tele health data analytics,First Order Polynomial Taylor DNN-based Feature Homogenization is proposed that with the aid of First Order Polynomial Taylor function updates the new results based on the result analysis of old values and therefore provides increased transparency in decision *** comparison of proposed and existing methods indicates that the WB-PTDN method achieves higher accuracy,true positive rate and lesser response time for IoT based tele health data analytics than the traditional methods.

关键词： Telehealth internet of things independent component weighted bayesian first order polynomial taylor deep neural network

Small signal stability enhancement of a large scale power system using a bio-inspired whale optimization algorithm

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Protection and Control of Modern Power Systems 2021年第1期6卷 443-459页

作者： Butti Dasu sivakumar Mangipudi Srinivasarao Rayapudi Department of EEE Gudlavalleru Engineering CollegeGudlavlleruKrishna(Dt.)Andhra Pradesh521301India Department of EEE University College of EngineeringJNTUKKakinadaEast Godavari(Dt.)Andhra Pradesh533001India

A whale optimization algorithm(WOA)-based power system stabilizer(PSS)design methodology on modified single machine infinite bus(MSMIB)and multi-machine systems to enhance the small-signal stability(SSS)of the power system is *** PSS design methodology is implemented using an eigenvalue(EV)-based objective *** performance of the WOA is tested with several CEC14 and CEC17 test functions to investigate its potential in optimizing the complex mathematical *** New England 10-generator 39-bus system and the MSMIB system operating at various loading conditions are considered as the test systems to examine the proposed *** simulation results are obtained which validate the effectiveness of the proposed WOA method when compared with other algorithms.

关键词： Small-signal stability Power system stabilizer Stability Modified single machine infinite bus system Multi-machine system Whale optimization algorithm Eigenvalues

Interconnected multi-machine power system stabilizer design using whale optimization algorithm

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Protection and Control of Modern Power Systems 2019年第1期4卷 13-23页

作者： Butti Dasu Mangipudi sivakumar Rayapudi Srinivasarao Gudlavalleru Engineering College GudlavalleruAndhra pradeshIndia JNTUK KakinadaAndhra pradeshIndia

The role of Power System Stabilizer (PSS) in the power system is to provide necessary damping torque to the system in order to suppress the oscillations caused by a variety of disturbances that occur frequently and maintain the stability of the system. In this paper, a PSS design technique is proposed using Whale Optimization Algorithm (WOA) by considering eigenvalue objective function. Two bench mark multi machine test systems: three- generator nine- bus system, two- area four- generator inter connected system working on various operating conditions are considered as case studies and tested with the proposed technique. Extensive simulation results are obtained and effectiveness of proposed WOA-PSS are compared with well - known PSO and DE based stabilizers under several disturbances.

关键词： Power system stabilizer Stability Whale optimization algorithm Dynamic performance Generators Eigenvalues