检索结果-南通市图书馆

Trust and QoS-Driven Query Service Provisioning Using Optimization

Intelligent Automation & Soft Computing 2023年第5期36卷 1827-1844页

作者： K.Narmatha K.karthikeyan Department of Computer Science and Engineering SRM Institute of Engineering and TechnologyRamapuramChennaiIndia Department of Information Technology Coimbatore Institute of TechnologyCoimbatoreIndia

The growing advancements with the Internet of Things(IoT)devices handle an enormous amount of data collected from various applications like healthcare,vehicle-based communication,and smart *** research analyses cloud-based privacy preservation over the smart city based on query ***,there is a lack of resources to handle the incoming data and maintain them with higher privacy and ***,a solution based idea needs to be proposed to preserve the IoT data to set an innovative city environment.A querying service model is proposed to handle the incoming data collected from various environments as the data is not so trusted and highly sensitive towards *** handling privacy,other inter-connected metrics like efﬁciency are also essential,which must be considered to fulﬁl the privacy ***,this work provides a query-based service model and clusters the query to measure the relevance of frequently generated ***,a Bag of Query(BoQ)model is designed to collect the query from various *** is done with a descriptive service provisioning model to cluster the query and extract the query’s summary to get theﬁnal *** processed data is preserved over the cloud storage system and optimized using an improved Grey Wolf Opti-mizer(GWO).It is used to attain global and local solutions regarding privacy *** iterative data is evaluated without any over-ﬁtting issues and computational complexity due to the tremendous data handling *** on this analysis,metrics like privacy,efﬁciency,computational complexity,the error rate is *** simulation is done with a MATLAB 2020a *** proposed model gives a better trade-off in contrast to existing approaches.

关键词： Cloud computing IoT privacy security grey wolf optimization

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Optimized PI Controller Based Reboost Luo Converter for Micro Grid Application

引用

Intelligent Automation & Soft Computing 2023年第4期36卷 1151-1172页

作者： R.K.Negesh S.karthikeyan Marthandam College of Engineering and Technology Kuttakuzhi629177India KSR College of Engineering Thiruchengode637215India

In the recent era,the signiﬁcance of Renewable Energy(RE)sources in the process of power generation has attained considerable attention as it provides multiple beneﬁcial impacts without harming the *** Photovoltaic(PV)and Doubly-Fed Induction Generator(DFIG)fed wind turbine are employed as hybrid power sources in this *** output voltages of these sources are independently controlled by separate controllers in an optimal manner for effec-tively maximizing the overall performance of the *** Reboost Luo con-verter is introduced in this work to maximize the output voltage of PV in an efﬁcient manner whereas the Grey Wolf Optimization(GWO)tuned Proportional Integral(PI)is used to optimize the converter *** wind turbine output is fed to rectiﬁer that is controlled by a PI ***,a battery setup is utilized with bidirectional converter as a secondary power source to ensure con-tinuous power supply to the *** intelligent Adaptive Neuro-Fuzzy Inference System(ANFIS)is implemented to regulate the powerﬂow in two directions between the battery and Point of Common Coupling(PCC).The output of PV,Wind and Battery are combined at a single point and fed to the grid through a three phase *** overall setup is validated through MATLAB Simulink and the performances are veriﬁed with the developed experimental prototype.

关键词： Reboostluoconverter GWOalgorithm DQtheory PVsystem microgrid

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Deep Root Memory Optimized Indexing Methodology for Image Search Engines

引用

Computer Systems Science & Engineering 2022年第2期40卷 661-672页

作者： R.karthikeyan A.Celine Kavida P.Suresh Department CSE Vel Tech HighTech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062TamilnaduIndia Department of Physics Vel Tech Multitech Dr.Rangarajan Dr.Sakunthala Engineering CollegeChennai600062Tamil NaduIndia Department of ECE Veltech Rangarajan Dr Sagunthala R&D Institute of Science and TechnologyChennaiTamilnadu600062India

Digitization has created an abundance of new information sources by altering how pictures are *** large image databases from a web portal requires an opted indexing structure instead of reducing the contents of different kinds of databases for quick *** approach paves a path toward the increase of efficient image retrieval techniques and numerous research in image indexing involving large image *** retrieval usually encounters difficulties like a)merging the diverse representations of images and their Indexing,b)the low-level visual characters and semantic characters associated with an image are indirectly proportional,and c)noisy and less accurate extraction of image information(semantic and predicted attributes).This work clearly focuses and takes the base of reverse engineering and de-normalizing concept by evaluating how data can be stored ***,retrieval becomes straightforward and *** research also deals with deep root indexing with a multidimensional approach about how images can be indexed and provides improved results in terms of good performance in query processing and the reduction of maintenance and storage *** focus on the schema design on a non-clustered index solution,especially cover *** schema provides a filter predication to make an index with a particular content of rows and an index table called filtered ***,we include non-key columns in addition to the key *** on two image data sets‘with and without’filtered indexing show low query *** compare efficiency as regards accuracy in mean average precision to measure the accuracy of retrieval with the developed coherent semantic *** results show that retrieval by using deep root indexing is simple and fast.

关键词： Multi-dimensional indexing deep root hashing image retrieval filtered indexing

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Classification Model for IDS Using Auto Cryptographic Denoising Technique

引用

Computer Systems Science & Engineering 2023年第4期45卷 671-685页

作者： N.karthikeyan P.Sivaprakash S.Karthik Department of Computer Science&Engineering PPG Institute of TechnologyCoimbatoreTamilnaduIndia Department of Computer Science&Engineering SNS College of TechnologyCoimbatoreTamilnaduIndia

Intrusion detection systems(IDS)are one of the most promising ways for securing data and networks;In recent decades,IDS has used a variety of categorization *** classifiers,on the other hand,do not work effectively unless they are combined with additional algorithms that can alter the classifier’s parameters or select the optimal sub-set of features for the *** are used in tandem with classifiers to increase the stability and with efficiency of the classifiers in detecting *** algorithms,on the other hand,have a number of limitations,particularly when used to detect new types of *** this paper,the NSL KDD dataset and KDD Cup 99 is used to find the performance of the proposed classifier model and compared;These two IDS dataset is preprocessed,then Auto Cryptographic Denoising(ACD)adopted to remove noise in the feature of the IDS dataset;the classifier algorithms,K-Means and Neural network classifies the dataset with adam *** classifier is evaluated by measuring performance measures like f-measure,recall,precision,detection rate and *** neural network obtained the highest classifying accuracy as 91.12%with drop-out function that shows the efficiency of the classifier model with drop-out function for KDD Cup99 *** their power and limitations in the proposed methodology that could be used in future works in the IDS area.

关键词： Auto cryptographic denoising(ACD) classifier intrusion detection system(IDS) optimizer performance measures

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Multimodal Machine Learning Based Crop Recommendation and Yield Prediction Model

引用

Intelligent Automation & Soft Computing 2023年第4期36卷 313-326页

作者： P.S.S.Gopi M.karthikeyan Department of Computer and Information Science Faculty of ScienceAnnamalai UniversityChidambaram608002India

Agriculture plays a vital role in the Indian *** recommen-dation for a speciﬁc region is a tedious process as it can be affected by various variables such as soil type and climatic *** the same time,crop yield prediction was based on several features like area,irrigation type,temperature,*** recent advancements of artiﬁcial intelligence(AI)and machine learning(ML)models pave the way to design effective crop recommendation and crop pre-diction *** this view,this paper presents a novel Multimodal Machine Learning Based Crop Recommendation and Yield Prediction(MMML-CRYP)*** proposed MMML-CRYP model mainly focuses on two processes namely crop recommendation and crop *** the initial stage,equilibrium optimizer(EO)with kernel extreme learning machine(KELM)technique is employed for effectual recommendation of ***,random forest(RF)tech-nique was executed for predicting the crop yield *** reporting the improved performance of the MMML-CRYP system,a wide range of simulations were carried out and the results are investigated using benchmark ***-mentation outcomes highlighted the signiﬁcant performance of the MMML-CRYP approach on the compared approaches with maximum accuracy of 97.91%.

关键词： Agriculture crop recommendation yield prediction machine learning artiﬁcial intelligence

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Properties of Sustainable High Strength Concrete with Waste Copper Slag

引用

Journal of Wuhan University of Technology(Materials Science) 2023年第4期38卷 815-822页

作者： JAGAN Sivamani KARUPASAMY Narayanan DHARMARAJ R THIYANESWARAN Periyasamy karthikeyan Selvarajan NAVANEETHAN Kumaravalasu Subramaniam Department of Civil Engineering Sona College of TechnologySalem636005India Department of Civil Engineering KPR Institute of Engineering and TechnologyCoimbatore641407India Kongu School of Architecture Perundurai638060India Department of Civil Engineering Kongu Engineering CollegePerundurai638060India

The present work investigates copper slag as a substitute for river sand in high-strength *** concrete mixtures were manufactured with 10%,30%,50%,70%,and 100%of copper slag to evaluate the mechanical and durability *** experimental results indicate that replacing copper slag above 50%affects the performance characteristics of the concrete due to its high angularity and lower water absorption *** strength of concrete with 50%copper slag is improved by 5.6%,whereas the strength of concrete with 100%copper slag is reduced by 2.75%at 28 ***,increased curing to 90days improves the strength of the former by 7.16%and reduces the latter by only 0.23%.The water absorption,porosity,and rapid chloride penetration of the concrete mixtures with 100%copper slag are increased by 10.44%,13.20%,and 19.56%compared to control ***-structural investigations through SEM infer higher replacement of copper results in higher void formation due to its reduced water absorption.

关键词： copper slag high strength concrete strength water absorption porosity

来源：

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Single-stage PV-powered boost inverter-fed permanent-magnet synchronous motor-driven water-pumping system

引用

Clean Energy 2022年第5期6卷 726-737页

作者： K.K.Prabhakaran Varsha Sunkara A.karthikeyan Department of Electrical and Electronics Engineering National Institute of Technology KarnatakaSurathkalIndia

In this paper,a photovoltaic(PV)fed boost inverter-based permanent-magnet synchronous motor(PMSM)-driven water-pumping system for stand-alone applications is *** proposed system comprises PV panel,six switches,three inductors(L),three capacitors(C)and a water *** this work,the boost inverter is designed with a gain of two and thereby the direct current input required to run the motor is considerably ***,the size of the system is *** voltage gain factor depends upon the placement of the L and C components and their *** speed reference is generated using a perturb and observe maximum power point tracking *** control is employed to control a boost inverter-fed PMSM *** proposed system is simulated using a MATLAB®/Simulink®environment and experimental validation is performed on a PMSM laboratory prototype using a field programmable gate array *** simulation and experimental results demonstrate the effectiveness of the proposed system.

关键词： boost inverter MPPT PV PMSM water pump

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Improved Metaheuristic Based Failure Prediction with Migration Optimization in Cloud Environment

引用

Computer Systems Science & Engineering 2023年第5期45卷 1641-1654页

作者： K.karthikeyan Liyakathunisa Eman Aljohani Thavavel Vaiyapuri Department of Computer Applications Anna UniversityRegional CampusMaduraiMaduraiIndia Department of Computer Science College of Computer Science and EngineeringTaibah UniversityMadinahSaudi Arabia College of Computer Engineering and Sciences Prince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia

Cloud data centers consume high volume of energy for processing and switching the servers among different *** Machine(VM)migration enhances the performance of cloud servers in terms of energy efficiency,internal failures and *** the other end,energy utilization can be minimized by decreasing the number of active,underutilized sources which conversely reduces the dependability of the *** VM migration process,the VMs are migrated from underutilized physical resources to other resources to minimize energy utilization and optimize the *** this view,the current study develops an Improved Metaheuristic Based Failure Prediction with Virtual Machine Migration Optimization(IMFP-VMMO)model in cloud *** major intention of the proposed IMFP-VMMO model is to reduce energy utilization with maximum performance in terms of failure *** accomplish this,IMFPVMMO model employs Gradient Boosting Decision Tree(GBDT)classification model at initial stage for effectual prediction of VM *** the same time,VMs are optimally migrated using Quasi-Oppositional Artificial Fish Swarm Algorithm(QO-AFSA)which in turn reduces the energy *** performance of the proposed IMFP-VMMO technique was validated and the results established the enhanced performance of the proposed *** comparative study outcomes confirmed the better performance of the proposed IMFP-VMMO model over recent approaches.

关键词： Cloud computing energy efficiency virtual machine migration failure prediction energy optimization metaheuristics

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

IM-EDRD from Retinal Fundus Images Using Multi-Level Classification Techniques

引用

Intelligent Automation & Soft Computing 2023年第1期35卷 567-580页

作者： M.P.karthikeyan E.A.Mary Anita Department of Computer Science and Engineering R.M.K.Engineering CollegeChennai601206India Department of Computer Science and Engineering School of Engineering and TechnologyChrist UniversityBengaluru560029India

In recent years,there has been a significant increase in the number of people suffering from eye illnesses,which should be treated as soon as possible in order to avoid *** Fundus images are employed for this purpose,as well as for analysing eye abnormalities and diagnosing eye *** can be recognised as bright lesions in fundus pictures,which can be thefirst indicator of diabetic *** that in mind,the purpose of this work is to create an Integrated Model for Exudate and Diabetic Retinopathy Diagnosis(IM-EDRD)with multi-level *** model uses Support Vector Machine(SVM)-based classification to separate normal and abnormal fundus images at thefirst *** input pictures for SVM are pre-processed with Green Channel Extraction and the retrieved features are based on Gray Level Co-occurrence Matrix(GLCM).Furthermore,the presence of Exudate and Diabetic Retinopathy(DR)in fundus images is detected using the Adaptive Neuro Fuzzy Inference System(ANFIS)classifier at the second level of *** detection,blood vessel extraction,and Optic Disc(OD)detection are all processed to achieve suitable ***,the second level processing comprises Morphological Component Analysis(MCA)based image enhancement and object segmentation processes,as well as feature extraction for training the ANFIS classifier,to reliably diagnose ***,thefindings reveal that the proposed model surpasses existing models in terms of accuracy,time efficiency,and precision rate with the lowest possible error rate.

关键词： Retinal fundus images exudate diabetic retinopathy SVM ANFIS morphological component analysis

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Incremental Linear Discriminant Analysis Dimensionality Reduction and 3D Dynamic Hierarchical Clustering WSNs

引用

Computer Systems Science & Engineering 2022年第11期43卷 471-486页

作者： G.Divya Mohana Priya M.karthikeyan K.Murugan Department of Electronics and Communication Engineering Tamilnadu College of EngineeringKarumathampattiCoimbatore641659India Department of Electronics and Communication Engineering KPR Institute of Engineering and TechnologyAvinashiCoimbatore RdArasurCoimbatoreTamilnadu641048India

Optimizing the sensor energy is one of the most important concern in Three-Dimensional(3D)Wireless Sensor Networks(WSNs).An improved dynamic hierarchical clustering has been used in previous works that computes optimum clusters count and thus,the total consumption of energy is ***,the computational complexity will be increased due to data dimension,and this leads to increase in delay in network data transmission and *** solving the above-mentioned issues,an efficient dimensionality reduction model based on Incremental Linear Discriminant Analysis(ILDA)is proposed for 3D hierarchical clustering *** major objective of the proposed work is to design an efficient dimensionality reduction and energy efficient clustering algorithm in 3D hierarchical clustering *** ILDA approach consists of four major steps such as data dimension reduction,distance similarity index introduction,double cluster head technique and node dormancy *** protocol differs from normal hierarchical routing protocols in formulating the Cluster Head(CH)selection *** to node’s position and residual energy,optimal cluster-head function is generated,and every CH is elected by this *** a 3D spherical structure,under the same network condition,the performance of the proposed ILDA with Improved Dynamic Hierarchical Clustering(IDHC)is compared with Distributed Energy-Efficient Clustering(DEEC),Hybrid Energy Efficient Distributed(HEED)and Stable Election Protocol(SEP)*** is observed that the proposed ILDA based IDHC approach provides better results with respect to Throughput,network residual energy,network lifetime and first node death round.

关键词： Lifetime energy optimization hierarchical routing protocol data transmission reduction incremental linear discriminant analysis(ILDA) three-dimensional(3D)space wireless sensor network(WSN)

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：