检索结果-南通市图书馆

Networking Controller Based Real time traffic Prediction in Clustered Vehicular Adhoc Networks

Intelligent Automation & soft Computing 2023年第2期35卷 2189-2203页

作者： t.s.balaji s.srinivasan saveetha school of Engineering Saveetha Institute of Medical and Technical SciencesSaveetha UniversitySaveetha NagarThandalamChennai602105India Department of Electronics and Communication Engineering College of Engineering and TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India Department of Biomedical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversitySaveetha NagarThandalamChennai602105India

the vehicular ad hoc network(VANEt)is an emerging network tech-nology that has gained popularity because to its low cost,ﬂexibility,and seamless *** deﬁned networking(sDN)technology plays a critical role in network administration in the future generation of VANEt withﬁfth generation(5G)*** of the beneﬁts of VANEt,energy economy and trafﬁc control are signiﬁcant architectural *** and real-time trafﬁcﬂow prediction(tFP)becomes critical for managing trafﬁc effectively in the *** controllers are a critical issue in VANEt,which has garnered much interest in recent *** this objective,this study develops the sDNtFP-C technique,a revolutionary sDN controller-based real-time trafﬁcﬂow forecasting technique for clustered *** proposed sDNtFP-C technique combines the sDN controller’s scalability,ﬂexibility,and adaptability with deep learning(DL)***,a novel arithmetic optimization-based clustering technique(AOCA)is developed to cluster automobiles in a *** tFP procedure is then performed using a hybrid convolutional neural network model with atten-tion-based bidirectional long short-term memory(HCNN-ABLstM).to optimise the performance of the HCNN-ABLstM model,the dingo optimization techni-que was used to tune the hyperparameters(DOA).the experimental results ana-lysis reveals that the suggested method outperforms other current techniques on a variety of evaluation metrics.

关键词： VANEt trafﬁcﬂow prediction clustering metaheuristics sDN controller deep learning

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

Fuzzy-Based secure Clustering with Routing technique for VANEts

引用

Computer systems science & Engineering 2022年第10期43卷 291-304页

作者： t.s.balaji s.srinivasan s.Prasanna Bharathi B.Ramesh saveetha school of Engineering Saveetha Institute of Medical and Technical SciencesSaveetha UniversityChennai602105India Department of Electronics and Communication Engineering College of Engineering&TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India Institute of Biomedical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversityChennai602105India Department of Electronics and Communication Engineering SRM Institute of Science and Technology600026ChennaiIndia Department of Civil Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversityChennai602105India

Due to the advanced developments in communication technologies,Internet of vehicles and vehicular adhoc networks(VANEt)offers numerous opportunities for effectively managing transportation *** the other,the cloud environment needs to disseminate the emergency message to the vehicles which are consistently distributed on the roadway so that every vehicle gets the messages from closer vehicles in a straightforward *** resolve this issue,clustering and routing techniques can be designed using computational intelligence *** this motivation,this paper presents a new type-2 fuzzy sets based clustering with metaheuristic optimization based routing(t2FsCMOR)technique for secure communication in *** t2FsC-MOR technique aims to elect CHs and optimal routes for secure intercluster data transmission in *** proposed model involves t2FsC technique for the selection of CHs and construction of *** t2FsC technique uses different parameters namely traveling speed(ts),link quality(LQ),trust factor(tF),inter-vehicle distance(IVD),and neighboring node count(NCC).the inclusion of trust factor helps to select the proper cluster heads(CHs)for secure data dissemination ***,trust aware seagull optimization based routing(tAsGOR)approach was derived for the optimal selection of routes in *** order to validate the enhanced performance of proposed technique,the set of simulations take place and the outcomes are examined interms of different *** experimental outcomes highlighted the improved performance of the proposed model over the other state of art techniques with a higher throughput of 98%.

关键词： VANEt security clustering routing fuzzy logic systems metaheuristic algorithms

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

Intelligent Deep Learning Based Multi-Retinal Disease Diagnosis and Classification Framework

引用

Computers, Materials & Continua 2022年第12期73卷 5543-5557页

作者： thavavel Vaiyapuri s.srinivasan Mohamed Yacin sikkandar t.s.balaji seifedine Kadry Maytham N.Meqdad Yunyoung Nam College of Computer Engineering and sciences Prince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia saveetha school of Engineering Saveetha Institute of Medical and Technical SciencesSaveetha NagarThandalamChennai602105India Department of Medical Equipment technology College of Applied Medical SciencesMajmaah UniversityAl Majmaah11952Saudi Arabia saveetha school of Engineering Saveetha Institute of Medical and Technical SciencesChennai602105India Department of Electronics and Communication Engineering College of Engineering&TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India Department of Applied Data science Noroff University CollegeKristiansand4608Norway Department of Computer techniques Engineering Al-Mustaqbal University CollegeHillahBabil51001Iraq Department of Computer science and Engineering Soonchunhyang UniversityAsan31538Korea

In past decades,retinal diseases have become more common and affect people of all age grounds over the *** examining retinal eye disease,an artificial intelligence(AI)based multilabel classification model is needed for automated *** analyze the retinal malady,the system proposes a multiclass and multi-label arrangement ***,the classification frameworks based on features are explicitly described by ophthalmologists under the application of domain knowledge,which tends to be time-consuming,vulnerable generalization ability,and unfeasible in massive ***,the automated diagnosis of multi-retinal diseases becomes essential,which can be solved by the deep learning(DL)*** this motivation,this paper presents an intelligent deep learningbased multi-retinal disease diagnosis(IDL-MRDD)framework using fundus *** proposed model aims to classify the color fundus images into different classes namely AMD,DR,Glaucoma,Hypertensive Retinopathy,Normal,Others,and Pathological ***,the artificial flora algorithm with shannon’s function(AFA-sF)basedmulti-level thresholding technique is employed for image segmentation and thereby the infected regions can be properly *** addition,squeezeNet based feature extractor is employed to generate a collection of feature ***,the stacked sparse Autoencoder(ssAE)model is applied as a classifier to distinguish the input images into distinct retinal *** efficacy of the IDL-MRDD technique is carried out on a benchmark multi-retinal disease dataset,comprising data instances from different *** experimental values pointed out the superior outcome over the existing techniques with the maximum accuracy of 0.963.

关键词： Multi-retinal disease computer aided diagnosis fundus images deep learning segmentation intelligent models

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

Optimal Deep Learning Enabled statistical Analysis Model for traffic Prediction

引用

Computers, Materials & Continua 2022年第9期72卷 5563-5576页

作者： Ashit Kumar Dutta s.srinivasan s.N.Kumar t.s.balaji Won Il Lee Gyanendra Prasad Joshi sung Won Kim Department of Computer science and Information systems College of Applied SciencesAlMaarefa UniversityAd DiriyahRiyadh13713Kingdom of Saudi Arabia Institute of Biomedical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical SciencesSaveetha UniversitySaveetha NagarThandalamChennai602105India Department of Electrical&Electronics Engineering Amal Jyothi College of EngineeringKanjirappallyKerala686518India saveetha school of Engineering Saveetha Institute of Medical and Technical SciencesSaveetha UniversitySaveetha NagarThandalamChennai602105India Department of Electronics and Communication Engineering College of Engineering and TechnologySRM Institute of Science and TechnologyVadapalani CampusChennai600026India Department of Business Administration Hanbat National National UniversityDaejeon34158Korea Department of Computer science and Engineering Sejong UniversitySeoul05006Korea Department of Information and Communication Engineering Yeungnam UniversityGyeongsan-siGyeongbuk-do38541Korea

Due to the advances of intelligent transportation system(Itss),traffic forecasting has gained significant interest as robust traffic prediction acts as an important part in different Itss namely traffic signal control,navigation,route mapping,*** traffic prediction model aims to predict the traffic conditions based on the past traffic *** more accurate traffic prediction,this study proposes an optimal deep learning-enabled statistical analysis *** study offers the design of optimal convolutional neural network with attention long short term memory(OCNN-ALstM)model for traffic *** proposed OCNN-ALstM technique primarily preprocesses the traffic data by the use of min-max normalization ***,OCNN-ALstM technique was executed for classifying and predicting the traffic data in real time *** enhancing the predictive outcomes of the OCNN-ALstM technique,the bird swarm algorithm(BsA)is employed to it and thereby overall efficacy of the network gets *** design of BsA for optimal hyperparameter tuning of the CNN-ALstM model shows the novelty of the *** experimental validation of the OCNNALstM technique is performed using benchmark datasets and the results are examined under several *** simulation results reported the enhanced outcomes of the OCNN-ALstM model over the recent methods under several dimensions.

关键词： statistical analysis predictive models deep learning traffic prediction bird swarm algorithm

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

Improving Power Quality by DstAtCOM Based DQ theory with soft Computing techniques

引用

Intelligent Automation & soft Computing 2023年第5期36卷 1315-1329页

作者： V.Nandagopal t.s.balaji Damodhar P.Vijayapriya A.thamilmaran Department of Electrical and Electronics Engineering Adhi College of Engineering and TechnologyKanchipuramTamil NaduIndia Department of Electrical&Electronics Engineering Madanapalle Institute of Technology and ScienceMadanapalleAndhra PradeshIndia school of Electrical Engineering Vellore Institute of TechnologyVelloreTamil NaduIndia

the development of non-linear loads at consumers has signiﬁcantly impacted power supply ***,the poor power quality has been found in the three-phase distribution system due to unbalanced loads,harmonic current,undesired voltage regulation,and extreme reactive power *** overcome this issue,Distributed stAticCOMpensator(DstAtCOM)is *** is a shunt-connected Voltage source Converter(VsC)that has been utilized in distribution networks to balance the bus voltage in terms of enhancing reactive power control and power *** can provide both rapid and continuous capacitive and inductive mode compensation.A rectiﬁed resistive and inductive load eliminates current harmonics in a three-phase power *** synchronous fundamental DQ frame is a time-domain approach developed from three-phase system space vector transformations has been designed using MAtLAB/*** DQ theory is used to produce the reference signal for the Pulse Width Modulation(PWM)*** addition,a traditional Propor-tional Integral Derivative(PID)controller is designed and compared with pro-posed soft computing approaches such as Fuzzy–PID and Artiﬁcial Neural Network(ANN-PID)and compared accurate reference current determination for Direct Current(DC)bus through DC *** Analytical explores the pro-posed control strategies given to establish superior ***,total harmo-nic distortion analysis should be taken for performance analysis of the proposed system with IEEE standards.

关键词： DstAtCOM synchronous reference frame fuzzy-PID artiﬁcial neural network-PID power quality issues

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

Evaluation of red soil-bentonite mixtures for compacted clay liners

引用

Journal of Rock Mechanics and Geotechnical Engineering 2024年第2期16卷 697-710页

作者： A.s.Devapriya t.thyagaraj Department of Civil Engineering Indian Institute of Technology MadrasChennai600036India

Compacted clay liners are an integral part of the waste landfills,which are provided to contain the leachate within the landfills and protect the surrounding ***,locally available natural soils are used for the construction of compacted clay liners if they satisfy the design ***,not all soils in their natural state satisfy all the design criteria for the liner ***,there is a definite need to modify the locally available natural soils by blending with bentonite to meet the required design criteria for the *** view of this,the present study evaluates the suitability of an Indian red soil enhanced with bentonite as a liner *** achieve this,a series of experiments were carried out using locally available red soil and ***,the suitability of the red soil was evaluated as a liner *** experimental results showed that the red soil met all the selection criteria stipulated by the Environmental Protection Agencies(EPAs)for the liners except the hydraulic conductivity ***,the red soil was mixed with bentonite contents of 10%,20%and 30%,and the red soil-bentonite mixtures were evaluated for their suitability for liners in their compacted ***,as the liners in the arid and semi-arid regions are subjected to moisture variations due to seasonal moisture fluctuations and other factors,the red soil-bentonite mixtures were subjected to wetdry cycles,and their suitability was evaluated after wet-dry *** experimental results revealed that all the red soil-bentonite mixtures met the stipulated EPA criteria for the liners in the as-compacted ***,the red soil-bentonite mixtures with 20%and 30%bentonite contents only satisfied the hydraulic conductivity requirement even after wet-dry *** experimental findings were supplemented with the microstructural insights captured through digital camera images,scanning electron microscopy(sEM),and mercury intrusion porosimetry(M

关键词： Compacted clay lines Hydraulic conductivity Wet-dry cycles Microstructure

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

Physics of porous materials under extreme laser-generated conditions

引用

Matter and Radiation at Extremes 2024年第3期9卷 1-3页

作者： V.t.tikhonchuk s.Weber Extreme Light Infrastructure ERIC ELI Beamlines Facility25241 DolníBrezanyCzech Republic CELIA University of Bordeaux33405 TalenceFrance

Porous materials offer unique possibilities for the production of plasmas with controlled density profiles for experiments on laser–matter *** are of growing relevance to many applications,such as inertial confinement fusion,fundamental research,and secondary *** the processes of transformation of a porous solid into a plasma is of fundamental interest and is needed for producing materials with desired properties.

关键词： interaction. properties. porous

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

Evidence-based orthobiologic practice:Current evidence review and future directions

引用

World Journal of Orthopedics 2024年第10期15卷 908-917页

作者： Madhan Jeyaraman Naveen Jeyaraman swaminathan Ramasubramanian sangeetha balaji sathish Muthu Department of Orthopedics ACS Medical College and HospitalDr MGR Educational and Research InstituteChennai 600077Tamil NaduIndia Department of Research Methods Orthopedic Research GroupCoimbatore 641045Tamil NaduIndia Department of Orthopedic Government Medical CollegeOmandurar Government EstateChennai 600002Tamil NaduIndia Department of Orthopedics Government Medical College and HospitalKarur 639004Tamil NaduIndia Department of Biotechnology Faculty of EngineeringKarpagam Academy of Higher EducationCoimbatore 641021Tamil NaduIndia

the field of orthopedic and regenerative medicine is rapidly evolving with the increasing utilization of *** biologically derived therapies,inc-luding platelet-rich plasma,mesenchymal stem cells,bone marrow aspirate con-centrate,stromal vascular fraction(sVF),and autologous chondrocyte implanta-tion,are gaining traction for their potential to enhance the body's natural healing *** offer a promising alternative to traditional surgical interventions for musculoskeletal injuries and degenerative *** evidence su-ggests significant benefits of orthobiologics in treating conditions like osteoarth-ritis,tendon injuries,and spinal disorders,yet inconsistencies in treatment pro-tocols and outcomes *** global market for orthobiologics is projected to grow substantially,driven by advancements in biologic therapies such as adipose-derived stem cells and sVF,and the demand for minimally invasive *** their promise,regulatory and ethical challenges,as well as the need for high-quality,standardized research,remain significant *** dire-ctions in the field include advancements in delivery systems,personalized medi-cine approaches,and the exploration of novel sources like induced pluripotent stem cells,aiming for more targeted and effective *** efforts are crucial to overcoming these challenges and ensuring the safe and effective application of orthobiologics in clinical practice.

关键词： Orthobiologics Platelet-rich plasma stem cells Musculoskeletal regeneration Regenerative medicine Evidence-based medicine

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

tensor force impact on shell evolution in neutron-rich si and Ni isotopes

引用

Chinese Physics C 2024年第4期48卷 95-106页

作者： s.V.sidorov A.s.Kornilova t.Yu.tretyakova Faculty of Physics Lomonosov Moscow State UniversityMoscow 119991Russia skobeltsyn Institute of Nuclear Physics Lomonosov Moscow State UniversityMoscow 119991Russia

the influence of the tensor interaction of nucleons on the characteristics of neutron-rich silicon and nickel isotopes was studied in this *** forces are considered within the framework of the Hartree-Fock approach with the skyrme *** addition of a tensor component of interaction is shown to improve the description of the splittings between different single-particle states and decrease nucleon-nucleon pairing correlations in silicon and nickel *** attention was directed toward the role of isovector tensor forces relevant to the interaction of like nucleons.

关键词： nuclear shell model tensor interaction silicon isotopes nickel isotopes

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

不均匀海底地形影响下柔性板与斜向来浪的相互作用

引用

哈尔滨工程大学学报（英文版） 2024年第2期23卷 261-275页

作者： saista tabssum balaji Ramakrishnan school of Advanced science-Mathematics VIT-APAmravati744101India Department of Civil Engineering Indian Institute of TechnologyBombay 400076India

the present work analyzes the interaction of oblique waves by a porous flexible breakwater in the presence of a step-type *** physical models for both scattering and trapping cases are considered and developed within the framework of small amplitude water-wave ***’s law is used to model the wave interaction with the porous *** is assumed that the varying bottom extends over a finite interval,connected by a finite length of uniform bottom near an impermeable wall,and a semi-infinite length of bottom in the open water *** boundary value problem is solved using the eigenfunction expansion method in the uniform bottom regions,while a modified mild-slope equation(MMsE)is used for the region with the varying ***,a mass-conserving jump condition is employed to handle the solution at slope discontinuities in the bottom.A system of equations is derived by matching the solutions at *** reflection coefficient and force on the breakwater and impermeable wall are plotted and analyzed for various parameters,such as the length of the varying bottom,depth ratio,angle of incidence,and flexural *** is observed that moderate values of flexural rigidity and depth ratio significantly contribute to an optimum reflection coefficient and reduce the wave force on the wall and ***,the outcomes of this study are assumed to be applicable in the construction of this type of breakwater in coastal regions.

关键词： Porous flexible breakwater Varying bottom Mild-slope equation Reflection coefficient Wave force

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

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：