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Tight Focusing Properties of Phase Modulated Radially Polarized Laguerre Bessel Gaussian Beam

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Chinese Physics Letters 2017年第5期34卷 56-59页

作者： k.prabakaran P.Sangeetha V.karthik k.B.Rajesh A.M.Musthafa Department of Physics Mahendra Arts and Science College (Autonomous) Namakkal Tamilnadu India Department of Physics Chikkanna Government Arts College Tiruppur Tamilnadu India Department of General Studies (Physics Group) Jubail University College (Male Branch) Royal Commission of Jubail Kingdom of Saudi Arabia

We propose a new approach for generating a multiple focal spot segment of subwavelength size, by tight focusing of a phase modulated radially polarized Laguerre Bessel Gaussian beam. The focusing properties are investigated theoretically by .vector diffraction theory. We observe that the focal segment with multiple focal structures is separated with different axial distances and a super long dark channel can be generated by properly tuning the phase of the incident radially polarized Laguerre Bessel Gaussian beam. We presume that such multiple focal patterns and high intense beam may find applications in atom optics, optical manipulations and multiple optical trapping.

关键词： Tight Focusing Properties of Phase Modulated Radially Polarized Laguerre Bessel Gaussian Beam

A Novel Eccentric Intrusion Detection Model Based on Recurrent Neural Networks with Leveraging LSTM

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Computers, Materials & Continua 2024年第3期78卷 3089-3127页

作者： Navaneetha krishnan Muthunambu Senthil prabakaran Balasubramanian Prabhu kavin kishore Senthil Siruvangur kavitha Chinnadurai Jehad Ali Department of Computer Applications Karpagam College of EngineeringCoimbatore641032India Department of Computer Science and Engineering Karpagam College of EngineeringCoimbatore641032India Department of Data Science and Business Systems College of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203India Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyJeppiaar NagarRajiv Gandhi SalaiChennai600119India Department of AI Convergence Network Ajou UniversitySuwon16499Korea

The extensive utilization of the Internet in everyday life can be attributed to the substantial accessibility of online services and the growing significance of the data transmitted via the ***,this development has expanded the potential targets that hackers might *** adequate safeguards,data transmitted on the internet is significantly more susceptible to unauthorized access,theft,or *** identification of unauthorised access attempts is a critical component of cybersecurity as it aids in the detection and prevention of malicious *** research paper introduces a novel intrusion detection framework that utilizes Recurrent Neural Networks(RNN)integrated with Long Short-Term Memory(LSTM)*** proposed model can identify various types of cyberattacks,including conventional and distinctive *** networks,a specific kind of feedforward neural networks,possess an intrinsic memory *** Neural Networks(RNNs)incorporating Long Short-Term Memory(LSTM)mechanisms have demonstrated greater capabilities in retaining and utilizing data dependencies over extended *** such as data types,training duration,accuracy,number of false positives,and number of false negatives are among the parameters employed to assess the effectiveness of these models in identifying both common and unusual *** are utilised in conjunction with LSTM to support human analysts in identifying possible intrusion events,hence enhancing their decision-making capabilities.A potential solution to address the limitations of Shallow learning is the introduction of the Eccentric Intrusion Detection *** model utilises Recurrent Neural Networks,specifically exploiting LSTM *** proposed model achieves detection accuracy(99.5%),generalisation(99%),and false-positive rate(0.72%),the parameters findings reveal that it is superior to state-of-the-art techniques.

关键词： Cybersecurity intrusion detection machine learning leveraging long short-term memory(LLSTM) CICIDS2019 dataset innovative cyberattacks

Creation of Super Long Transversely Polarized Optical Needle Using Azimuthally Polarized Multi Gaussian Beam

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Chinese Physics Letters 2016年第6期33卷 29-32页

作者： C.M.Sundaram k.prabakaran P.M.Anbarasan k.B.Rajesh A.M.Musthafa Department of Physics Periyar University Department of Physics Mahendra Arts and Science College(Autonomous) Department of Physics Chikkanna Government Arts College Department of General Studies(Physics Group) Jubail University College(Male Branch)Royal Commission of Jubail

The intensity distribution in the focal region of a high-NA lens for the incident azimuthally polarized multi Gaussian beam transmitted through a multi belt spiral phase hologram is studied on the basis of the vector diffraction theory. Here we report a new method used to generate a needle of transversely polarized light beam with sub diffraction beam size of 0.366A that propagates without divergence over a long distance of about 22A in free space. We also expect that such a light needle of transversely polarized beam may find its applications in utilizing optical materials or instruments responsive to the transversal field only.

关键词： of on it for Creation of Super Long Transversely Polarized Optical Needle Using Azimuthally Polarized Multi Gaussian Beam in that is

Creation of Multiple Subwavelength Focal Spot Segments Using Phase Modulated Radially Polarized Multi Gaussian Beam

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Chinese Physics Letters 2016年第9期33卷 48-51页

作者： k.prabakaran k.B.Rajesh S.Sumathira M.D.Bharathi R.Hemamalini A.M.Musthafa V.Aroulmoji Department of Physics Mahendra Arts and Science College(Autonomous) Department of Physics Chikkanna Government Arts College Department of Physics Sri Sarada College for Women(Autonomous) Department of General Studies(Physics Group) Jubail University College(Male Branch) Royal Commission of Jubail Center for Research and Development Mahendra Educational Institutions

Based on the vector diffraction theory, the effect of complex phase filters on intensity distribution of a radially polarized multi Gaussian beam in the focal region of high NA lens is theoretically investigated. It is observed that a properly designed multi belt complex phase filter can generate subwavelength novel focal patterns including splitting of focal spots and generation of multiple focal spot segments such as eight, six and four focal spots along the optical axis are obtained. We expect that such an investigation is useful for optical manipulation and material processing, multiple high refractive index particle trapping technologies.

关键词： of for Creation of Multiple Subwavelength Focal Spot Segments Using Phase Modulated Radially Polarized Multi Gaussian Beam on is in

Multi-Factor Authentication for Secured Financial Transactions in Cloud Environment

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Computers, Materials & Continua 2022年第1期70卷 1781-1798页

作者： D.prabakaran Shyamala Ramachandran IFET College of Engineering Villupuram605108TamilnaduIndia University College of Engineering-Tindivanam Tindivanam604001TamilnaduIndia

The rise of the digital economy and the comfort of accessing by way of user mobile devices expedite human endeavors in financial transactions over the Virtual Private Network(VPN)*** prominent application of VPN evades the hurdles involved in physical money *** VPN acts as a gateway for the authorized user in accessing the banking server to provide mutual authentication between the user and the *** security in the cloud authentication server remains vulnerable to the results of threat in JP Morgan Data breach in 2014,Capital One Data Breach in 2019,and manymore cloud server attacks over and over *** attacks necessitate the demand for a strong framework for authentication to secure from any class of *** research paper,propose a framework with a base of EllipticalCurve Cryptography(ECC)to performsecure financial transactions throughVirtual PrivateNetwork(VPN)by implementing strongMulti-Factor Authentication(MFA)using authentication credentials and biometric *** research results prove that the proposed model is to be an ideal scheme for real-time *** security analysis reports that the proposed model exhibits high level of security with a minimal response time of 12 s on an average of 1000 users.

关键词： Cloud computing elliptical curve cryptography multi-factor authentication mel frequency cepstral coefficient privacy protection secured framework secure financial transactions

Elite Opposition Based Metaheuristic Framework for Load Balancing in LTE Network

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Computers, Materials & Continua 2022年第6期71卷 5765-5781页

作者： M.R.Sivagar N.prabakaran Department of Computer Science and Engineering Sathyabama Institute of Science&TechnologyChennai600119India Department of Electronics and Communication Engineering Koneru Lakshmaiah Education FoundationGuntur522502Andhra PradeshIndia

In present scenario of wireless communications,Long Term Evolution(LTE)based network technology is evolved and provides consistent data delivery with high speed andminimal delay through mobile *** traffic management and effective utilization of network resources are the key factors of LTE ***,there are some major issues in LTE that are to be considered are effective load scheduling and traffic *** LTE is a depraved technology,it is been suffering from these *** addressing that,this paper develops an Elite Opposition based Spider Monkey Optimization Framework for Efficient Load Balancing(SMO-ELB).In this model,load computation of each mobile node is done with Bounding Theory based Load derivations and optimal cell selection for seamless communication is processed with Spider Monkey Optimization *** simulation results show that the proposed model provides better results than exiting works in terms of efficiency,packet delivery ratio,Call Dropping Ratio(CDR)and Call Blocking Ratio(CBR).

关键词： Spider monkey optimization load balancing long term evolution optimal cell selection handover LTE networks QoS

Advance IoT Intelligent Healthcare System for Lung Disease Classification Using Ensemble Techniques

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Computer Systems Science & Engineering 2023年第8期46卷 2141-2157页

作者： J.prabakaran P.Selvaraj Department of Networking communications Faculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia Department of Computing Technologies Faculty of Engineering and TechnologySRM Institute of Science and TechnologyKattankulathur603203TamilnaduIndia

In healthcare systems,the Internet of Things(IoT)innovation and development approached new ways to evaluate patient data.A cloud-based platform tends to process data generated by IoT medical devices instead of high storage,and computational *** this paper,an intelligent healthcare system has been proposed for the prediction and severity analysis of lung disease from chest computer tomography(CT)images of patients with pneumonia,Covid-19,tuberculosis(TB),and ***,the CT images are captured and transmitted to the fog node through IoT *** the fog node,the image gets modified into a convenient and efficient format for further *** encryption Standard(AES)algorithm serves a substantial role in IoT and fog nodes for preventing data from being accessed by other operating ***,the preprocessed image can be classified automatically in the cloud by using various transfer and ensemble learning *** different pre-trained deep learning architectures(Inception-ResNet-v2,VGG-19,ResNet-50)used transfer learning is adopted for feature *** softmax of heterogeneous base classifiers assists to make individual *** a meta-classifier,the ensemble approach is employed to obtain final optimal *** predicted image is consigned to the recurrent neural network with long short-term memory(RNN-LSTM)for severity analysis,and the patient is directed to seek therapy based on the *** proposed method achieved 98.6%accuracy,0.978 precision,0.982 recalls,and 0.974 F1-score on five class *** experimental findings reveal that the proposed framework assists medical experts with lung disease screening and provides a valuable second perspective.

关键词： Intelligent health care cloud computing fog computing ensemble learning RNN-LSTM

Smart Grid Communication Under Elliptic Curve Cryptography

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Intelligent Automation & Soft Computing 2023年第5期36卷 2333-2347页

作者： B.prabakaran T.R.Sumithira V.Nagaraj Mahendra Engineering College Salem637503TamilnaduIndia Government College of Engineering Salem636011TamilnaduIndia knowledge Institute of Technology Salem637504TamilnaduIndia

Smart Grids(SGs)are introduced as a solution for standard power *** signiﬁcant capabilities of smart grids help to monitor consumer behaviors and power ***,the delay-sensitive network faces numer-ous challenges in which security and privacy gain more *** to trans-mitted messages,control over smart grid information and user privacy are the major concerns in smart grid *** secure communication between the service provider and the user is the only possible solution for these security ***,this research work presents an efﬁcient mutual authentication and key agreement protocol for smart grid communication using elliptic curve crypto-graphy which is robust against security threats.A trust authority module is intro-duced in the security model apart from the user and service provider for *** proposed approach performance is veriﬁed based on different security features,communication costs,and computation *** comparative analysis of experimental results demonstrates that the proposed authentication model attains better performance than existing state of art of techniques.

关键词： Smart grid elliptic curve cryptography key management mutual authentication

Plasticized Polymer Electrolyte Membranes Based on PEO/PVdF-HFP for Use as an Effective Electrolyte in Lithium-ion Batteries

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Chinese Journal of Polymer Science 2017年第3期35卷 407-421页

作者： pradeepa prabakaran ramesh prabhu manimuthu sowmya gurusamy edwinraj sebasthiyan school of physics alagappa universityKaraikudi-630 004Tamil NaduIndia

Plasticized polymer electrolytes were prepared using poly（ethylene oxide）(PEO)/poly（vinylidene fluoridehexafluoro propylene）(PVd F-HFP) with lithium perchlorate（Li Cl O4） and different plasticizers. XRD and FTIR spectroscopic techniques were used to characterize the structure and the complexation of plasticizer with the host polymer matrix. The role of interaction between polymer hosts and plasticizer on conductivity is discussed using the results of alternating current（a.c.） impedance studies. TG-DTA and SEM were used for thermal and physical characterizations. Maximum ionic conductivity(3.26 × 10;S·cm;) has been observed for ethylene carbonate（EC）-based polymer electrolytes. Electrochemical performance of the plasticized polymer electrolyte is evaluated in LiFePO;/plasticized polymer electrolytes（PPEs）/Li coin cell. Good performance with low capacity fading on charge discharge cycling is demonstrated.

关键词： X-ray diffraction Impedance spectroscopy Atomic force microscopy Ionic conductivity Dielectrics