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A Novel Approach Based on Hybrid Algorithm for Energy Efficient cluster Head Identification in Wireless Sensor Networks

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computer Systems Science & Engineering 2022年第10期43卷 259-273页

作者： c.Ram Kumar K.Murali Krishna Mohammad Shabbir Alam K.Vigneshwaran Sridharan Kannan c.bharatiraja Department of Electronics and communication Engineering Dr.N.G.P.Institute of TechnologyCoimbatore641048India Department of Electronics and communication Engineering Vignan’s Institute of Information TechnologyDuvvadaVisakhapatnam530049India Department of computer Science College of Computer Science and Information TechnologyJazan UniversityJizan45142Kingdom of Saudi Arabia Department of Electronics and communication Engineering K.Ramakrishnan College of EngineeringTiruchirappalli621112India Department of computer Science and Engineering JKK Munirajah College of TechnologyErode638506India Department of Electrical and Electronics Engineering SRM Institute of Science and TechnologyChennai603203India

The Wireless Sensor Networks(WSN)is a self-organizing network with random deployment of wireless nodes that connects each other for effective monitoring and data *** clustering technique employed to group the collection of nodes for data transmission and each node is assigned with a cluster *** major concern with the identification of the cluster head is the consideration of energy consumption and hence this paper proposes an hybrid model which forms an energy efficient cluster head in the Wireless Sensor *** proposed model is a hybridization of Glowworm Swarm Optimization(GSO)and Artificial Bee colony(ABc)algorithm for the better identification of cluster *** performance of the proposed model is compared with the existing techniques and an energy analysis is performed and is proved to be more efficient than the existing model with normalized energy of 5.35%better value and reduction of time complexity upto 1.46%.Above all,the proposed model is 16%ahead of alive node count when compared with the existing methodologies.

关键词： Wireless sensor network cluster cluster head hybrid model glowworm swarm optimization artificial bee colony algorithm energy consumption

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Intrusion Detection System for Big Data Analytics in IoT Environment

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computer Systems Science & Engineering 2022年第10期43卷 381-396页

作者： M.Anuradha G.Mani T.Shanthi N.R.Nagarajan P.Suresh c.bharatiraja Department of computer Science and Engineering St.Joseph’s College of EngineeringChennai600119India Department of computer Science and Engineering University College of Engineering ArniThatchur632326India Department of Electronics&communication Engineering Kings College of EngineeringPudukkottai613303India Department of Electronics&communication Engineering K.Ramakrishnan College of EngineeringTiruchirapalli621112India Department of computer Science and Engineering KPR Institute of Engineering and TechnologyCoimbatore641407India Department of Electrical and Electronics Engineering SRM Institute of Science and TechnologyChennai603203India

In the digital area,Internet of Things(IoT)and connected objects generate a huge quantity of data traffic which feeds big data analytic models to discover hidden patterns and detect abnormal *** IoT networks are popular and widely employed in real world applications,security in IoT networks remains a challenging *** intrusion detection systems(IDS)cannot be employed in IoT networks owing to the limitations in resources and ***,this paper concentrates on the design of intelligent metaheuristic optimization based feature selection with deep learning(IMFSDL)based classification model,called IMFSDL-IDS for IoT *** proposed IMFSDL-IDS model involves data collection as the primary process utilizing the IoT devices and is preprocessed in two stages:data transformation and data *** manage big data,Hadoop ecosystem is ***,the IMFSDL-IDS model includes a hill climbing with moth flame optimization(HcMFO)for feature subset selection to reduce the complexity and increase the overall detection ***,the beetle antenna search(BAS)with variational autoencoder(VAE),called BAS-VAE technique is applied for the detection of intrusions in the feature reduced *** BAS algorithm is integrated into the VAE to properly tune the parameters involved in it and thereby raises the classification *** validate the intrusion detection performance of the IMFSDL-IDS system,a set of experimentations were carried out on the standard IDS dataset and the results are investigated under distinct *** resultant experimental values pointed out the betterment of the IMFSDL-IDS model over the compared models with the maximum accuracy 95.25%and 97.39%on the applied NSL-KDD and UNSW-NB15 dataset correspondingly.

关键词： Big data cybersecurity IoT networks intrusion detection deep learning metaheuristics intelligent systems

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State-Based Offloading Model for Improving Response Rate of IoT Services

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computers, Materials & continua 2021年第6期67卷 3721-3735页

作者： K.Sakthidasan Bhekisipho Twala S.Yuvaraj K.Vijayan S.Praveenkumar Prashant Mani c.bharatiraja Department of Electronics and communication Engineering Hindustan Institute of Technology and ScienceChennai603103India Faculty of Engineering Built Environment Durban University of Technology(DUT)UniversityDurban4001South Africa SRM Institute of Science and Technology Kattankulathur603203India SRM Institute of Science and Technology NCR CampusModinagar201204India

The Internet of Things(IoT)is a heterogeneous information sharing and access platform that provides services in a pervasive *** and computation offloading in the IoT helps to improve the response rate and the availability of *** offloading in a service-centric IoT environment mitigates the complexity in response delivery and request *** this paper,the state-based task offloading method(STOM)is introduced with a view to maximize the service response rate and reduce the response time of the varying request *** proposed method is designed using the Markov decision-making model to improve the rate of requests *** defining optimal states and filtering the actions based on the probability of response and request analysis,this method achieves less response *** on the defined states,request processing and resource allocations are performed to reduce the backlogs in handling multiple *** proposed method is verified for the response rate and time for the varying requests and processing servers through an experimental *** the experimental analysis,the proposed method is found to improve response rate and reduce backlogs,response time,and offloading factor by 11.5%,20.19%,20.31%,and 8.85%,respectively.

关键词： Decision-making internet of things markov model task offloading task graph

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IoT-cloud Empowered Aerial Scene classification for Unmanned Aerial Vehicles

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computers, Materials & continua 2022年第3期70卷 5161-5177页

作者： K.R.Uthayan G.Lakshmi Vara Prasad V.Mohan c.bharatiraja Irina V.Pustokhina Denis A.Pustokhin Vicente García Díaz Department of Information Technology Sri Sivasubramaniya Nadar College of EngineeringChennai603110India Department of Information Technology QIS College of Engineering&TechnologyOngole523001India Department of Electronics and communications Engineering Saranathan College of EngineeringTrichy620012India Department of Electrical and Electronics Engineering SRMInstitute of Science and TechnologyChennai603203India Department of Entrepreneurship and Logistics Plekhanov Russian University of EconomicsMoscow117997Russia Department of Logistics State University of ManagementMoscow109542Russia Department of computer Science University of OviedoOviedo33003Spain

Recent trends in communication technologies and unmanned aerial vehicles(UAVs)find its application in several areas such as healthcare,surveillance,transportation,***,the integration of Internet of things(IoT)with cloud computing environment offers several benefits for the UAV *** the same time,aerial scene classification is one of the major research areas in UAV-enabledMEc *** UAV aerial imagery,efficient image representation is crucial for the purpose of scene *** existing scene classification techniques generate mid-level image features with limited representation capabilities that often end up in producing average ***,the current research work introduces a new DL-enabled aerial scene classificationmodel *** presented model enables theUAVs to capture aerial imageswhich are then transmitted to MEc for further ***,capsuleNetwork(capsNet)-based feature extraction technique is applied to derive a set of useful feature vectors from the aerial *** is important to have an appropriate hyperparameter tuning strategy,since manual parameter tuning of DL model tend to produce several configuration *** order to achieve this and to determine the hyperparameters of capsNetmodel,Shuffled Shepherd Optimization(SSO)algorithm is ***,Backpropagation Neural Network(BPNN)classification model is applied to determine the appropriate class labels of aerial *** performance of SSO-capsNet model was validated against two openly-accessible datasets namely,Uc Merced(UcM)Land Use dataset andWHU-RS *** proposed SSO-capsNet model outperformed the existing state-of-the-art methods and achieved maximum accuracy of 0.983,precision of 0.985,recall of 0.982,and F-score of 0.983.

关键词： Artificial intelligence mobile edge computing unmanned aerial vehicles deep learning optimization

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Status and prospects for symmetric organic redox flow batteries

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Journal of Energy chemistry 2025年第1期100卷 125-143页

作者： Md Al Raihan c.Adam Dyker Department of chemistry University of New BrunswickFrederictonNB E3B 5A3Canada

As environmental concerns from fossil fuel consumption intensify,large-scale energy storage becomes imperative for the integration of renewable sources like wind,hydro,and solar with the electrical *** flow batteries,particularly those employing organic molecules,are positioned as a key technology for this *** review explores the growing field of symmetric organic redox flow batteries(ORFBs)within this *** traditional asymmetric designs based on unique active materials for each electrode,symmetric ORFBs involve a single bipolar species for both *** review highlights the benefits of a symmetric design,and categorizes five distinct classes of organic bipolar molecules used in both aqueous and non-aqueous *** providing a comprehensive overview of their cell cycling and performance characteristics,the strengths and weaknesses of the diverse categories of bipolar molecules are highlighted for both solvent systems,as are opportunities for future *** should guide new research directions and advance the development of practical symmetric ORFBs.

关键词： Redox flow battery Symmetric battery Organic battery Aqueous electrolyte Non-aqueousel ectrolyte

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Acquired sensorineural hearing loss,oxidative stress,and microRNAs

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Neural Regeneration Research 2025年第9期20卷 2513-2519页

作者： Desmond A.Nunez Ru c.Guo Division of Otolaryngology–Head&Neck Surgery Department of SurgeryFaculty of MedicineThe University of British ColumbiaVancouverBCCanada Division of Otolaryngology–Head&Neck Surgery Gordon&Leslie Diamond Health Care CentreVancouver General HospitalVancouverBCCanada Faculty of Medicine–The University of British columbia VancouverBCCanada

Hearing loss is the third leading cause of human ***-related hearing loss,one type of acquired sensorineural hearing loss,is largely responsible for this escalating global health ***-induced,ototoxic,and idiopathic sudden sensorineural are other less common types of acquired hearing *** etiology of these conditions is complex and multi-fa ctorial involving an interplay of genetic and environmental *** stress has recently been proposed as a likely linking cause in most types of acquired sensorineural hearing *** non-coding RNA sequences known as microRNAs(miRNAs)have increasingly been shown to play a role in cellular hypoxia and oxidative stress responses including promoting an apoptotic *** hair cell death is a central histopathological finding in sensorineural hearing *** these cells do not regenerate in humans,it underlies the irreversibility of human age-related hearing *** EMBASE,Ovid MEDLINE,Web of Science core collection,and *** databases over the period August 1,2018 to July 31,2023 were searched with"hearing loss,""hypoxamiRs,""hypoxia,""microRNAs,""ischemia,"and"oxidative stress"text words for English language primary study publications or registered clinical *** red clinical trials known to the senior author we re also assessed.A total of 222studies were thus *** excluding duplicates,editorials,retra ctions,secondary research studies,and non-English language articles,39 primary studies and clinical trials underwent full-text *** resulted in 11 animal,in vitro,and/or human subject journal articles and 8 registered clinical trial database entries which form the basis of this narrative *** miR-34a and miR-29b levels increase with age in *** miRNAs were demonstrated in human neuroblastoma and murine cochlear cell lines to target Sirtuin 1/peroxisome proliferato r-activated receptor gamma coactivator-1-alpha(SIRT1/P Gc-1α),SIRT

关键词： hearing loss hypoxia microRNAs oxidative stress sensorineural

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controversies in fecal incontinence

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World Journal of Gastroenterology 2025年第3期31卷 113-119页

作者： Andreia Albuquerque Satish S c Rao School of Medicine and Biomedical Sciences Fernando Pessoa UniversityGondomar 4420-096PortoPortugal Precancerous Lesions and Early cancer Management Research Group RISE@cI-IPO(Health Research Network) Portuguese Oncology Institute of PortoPorto 4200-072Portugal Division of Gastroenterology and Hepatology Department of Internal MedicineAugusta UniversityAugustaGA 30912United States

Fecal incontinence is a common condition that can significantly impact patients’quality of *** anal sphincter injury and anorectal surgeries are common *** ultrasound and anorectal manometry are important diagnostic tools for evaluating *** are various treatment options,including diet,lifestyle modifications,drugs,biofeedback therapy,tibial and sacral nerve neuromodulation therapy,and *** this editorial,we will discuss current controversies and novel approaches to fecal *** for asymptomatic anal sphincter defects after obstetric anal sphincter injury and in patients with inflammatory bowel disease is not generally recommended,but may be helpful in selected *** Garg incontinence score is a new score that includes the assessment of solid,liquid,flatus,mucous,stress and urge fecal *** tests such as translumbosacral anorectal magnetic stimulation and novel therapies such as translumbosacral neuromodulation therapy are promising diagnostic and treatment options,for both fecal incontinence and *** biofeedback therapy can overcome some limitations of the office-based *** muscle-derived cell implantation of the external anal sphincter has been further studied as a possible treatment *** neuromodulation may be useful in scleroderma,congenital fecal incontinence and inflammatory bowel disease but merits further study.

关键词： Fecal incontinence Endoanal ultrasound Anal sphincter defects Biofeedback Neuropathy Sacral neuromodulation

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Recent progress on elemental tellurium and its devices

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Journal of Semiconductors 2025年第1期46卷 91-106页

作者： Jiachi Liao Zhengxun Lai You Meng Johnny c.Ho Department of Materials Science and Engineering City University of Hong KongKowloonHong Kong 999077China changsha Semiconductor Technology and Application Innovation Research Institute College of Semiconductors(College of IntegratedC ircuits)Hunan UniversityChangsha 410082China Institute for Materials chemistry and Engineering Kyushu UniversityFukuoka 8168580Japan State Key Laboratory of Terahertz and Millimeter Waves City University of Hong KongKowloonHong Kong 999077China

The rapid advancement of information technology has heightened interest in complementary devices and *** p-type semiconductors often lack sufficient electrical performance,thus prompting the search for new materials with high hole mobility and long-term *** tellurium(Te),featuring a one-dimensional chiral atomic structure,has emerged as a promising candidate due to its narrow bandgap,high hole mobility,and versatility in industrial applications,particularly in electronics and renewable *** review highlights recent progress in Te nanostructures and related devices,focusing on synthesis methods,including vapor deposition and hydrothermal synthesis,which produce Te nanowires,nanorods,and other *** applications in photodetectors,gas sensors,and energy harvesting devices are discussed,with a special emphasis on their role within the internet of things(IoT)framework,a rapidly growing field that is reshaping our technological *** prospects and potential applications of Te-based technologies are also highlighted.

关键词： elemental tellurium photodetector field-effect transistor gas sensor energy harvesting device

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Multiple sclerosis is at a checkpoint: advancing the program

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Neural Regeneration Research 2025年第3期20卷 811-812页

作者： Brandon c.Smith Jessica L.Williams Department of Neurosciences Lerner Research InstituteCleveland ClinicClevelandOHUSA Department of Biological Geologicaland Environmental SciencesCleveland State UniversityClevelandOHUSA

Multiple sclerosis(MS) is a chronic inflammatory and demyelinating disease of the central nervous system(cNS). Patients with MS experience sensory and motor function loss due to myelin and/or axon damage perpetuated b... 详细信息

关键词： Hauser sclerosis damage

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Study of the semilepottonic decays Υ(1S)→B_((c))lν_(l)

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chinese Physics c 2025年第1期49卷 177-185页

作者： c.T.Tran M.A.Ivanov P.Santorelli H.c.Tran Department of Physics HCMC University of Technology and EducationVo Van Ngan 1700000 Ho Chi Minh CityVietnam Bogoliubov Laboratory of Theoretical Physics Joint Institute for Nuclear Research141980 DubnaRussia Dipartimento di Fisica“E.Pancini” Universitàdi Napoli Federico IIComplesso Universitario di Monte S.AngeloVia CintiaEdificio 680126NapoliItaly Istituto Nazionale di Fisica Nucleare Sezione di Napoli80126 NapoliItaly

We study the exclusive semileptonic decaysΥ(1S)→B_((c))lν_(l),where t=e,μ,*** relevant hadronic form factors are calculated using the covariant confined quark model developed previously by our *** predict the branching fractions B(Υ(1S)→B_((c))lν_(l))(vl)to be of the order of 10^(-13)and 10^(-10)for the case of B and B_(c),*** predictions agree well with other theoretical *** also consider the effects of possible new physics in the case of Υ(1S)→B_((c))τν_(τ)and show that the branching fraction of this decay can be enhanced by an order of magnitude using constraints from the B-→D^((*))lν_(l)and B_(c)→J/Ψlν_(l)experimental data.

关键词： heavy quarkonia covariant confined quark model semileptonic decay

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