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Intelligent Satin Bowerbird Optimizer Based Compression Technique for Remote Sensing Images

Computers, materials & Continua 2022年第8期72卷 2683-2696页

作者： m.saravanan J.Jayanthi U.Sakthi R.Rajkumar Gyanendra Prasad Joshi L.minh Dang Hyeonjoon moon Department of Networking and Communications School of ComputingSRM Institute of Science and TechnologyKattankulathur603203India Department of Computer Science and Engineering Sona College of TechnologySalem636005India Department of Computer Science and Engineering Saveetha School of EngineeringSIMATSChennai602105India Department of Electronics and Instrumentation Engineering Kongu Engineering CollegePerundurai638060India Department of Computer Science and Engineering Sejong UniversitySeoul05006Korea

Due to latest advancements in the field of remote sensing,it becomes easier to acquire high quality images by the use of various satellites along with the sensing *** the massive quantity of data poses a challenging issue to store and effectively transmit the remote sensing ***,image compression techniques can be utilized to process remote sensing *** this aspect,vector quantization(VQ)can be employed for image compression and the widely applied VQ approach is Linde–Buzo–Gray(LBG)which creates a local optimum codebook for image *** process of constructing the codebook can be treated as the optimization issue and the metaheuristic algorithms can be utilized for resolving *** this motivation,this article presents an intelligent satin bowerbird optimizer based compression technique(ISBO-CT)for remote sensing *** goal of the ISBO-CT technique is to proficiently compress the remote sensing images by the effective design of ***,the ISBO-CT technique makes use of satin bowerbird optimizer(SBO)with LBG approach is *** design of SBO algorithm for remote sensing image compression depicts the novelty of the *** showcase the enhanced efficiency of ISBO-CT approach,an extensive range of simulations were applied and the outcomes reported the optimum performance of ISBO-CT technique related to the recent state of art image compression approaches.

关键词： Remote sensing images image compression vector quantization sand bowerbird optimizer metaheuristics space savings

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Propagation of an electromagnetic soliton in an anisotropic biquadratic ferromagnetic medium

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Chinese Physics B 2013年第3期22卷 275-281页

作者： L.Kavitha m.saravanan D.Gopi Department of Physics Periyar University The Abdus Salam International Centre for Theoretical Physics TriesteItaly Center for Nanoscience and Nanotechnology Periyar University Department of Chemistry Periyar University

Information storage technology based on anisotropic ferromagnets with sufficiently high magneto-optical effects has received much attention in recent ***-optical recording combines the merits of magnetic and optical *** investigate the magneto-optical effects on a biquadratic ferromagnet and show that the dynamics of the system are governed by a perturbed nonlinear Schro¨dinger *** evolutions of amplitude and velocity of the soliton are found to be time independent,thereby admitting the lossless propagation of the electromagnetic soliton in the medium,which may have potential applications in soliton based optical communication *** also exploit the role of perturbation,which has a significant impact on the propagation of an electromagnetic soliton.

关键词： solitons classical spin models maxwell equations nonlinear dynamics

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Efect of Varying Dzyaloshinskii–moriya Interaction on the Bistable Nano-Scale Soliton Switching

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Communications in Theoretical Physics 2013年第12期60卷 658-662页

作者： L.Kavitha m.saravanan V.Senthilkumar D.Gopi Department of Physics Periyar University The Abdus Salam International Centre for Theoretical Physics Center for Nanoscience and Nanotechnology Periyar University Department of Chemistry Periyar University

The effect of Dzyaloshinskii-moriya （D-m） interaction on the bistable nano-scale soliton switching offers the possiblity of developing a new innovative approach for data storage technology. The dynamics of Heisenberg ferromagnetic spin system is expressed in terms of generalized inhomogeneous higher order nonlinear Schr6dinger （NLS） equation. The bistable soliton switching in the ferromagnetic medium is established by solving the associated coupled evolution equations for amplitude and velocity of the soliton using the fourth order Runge-Kutta method numerically.

关键词： solitons magnetization reversal mechanisms perturbation theory exchange interactions

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Preparation and optimization of tocotrienol rich fraction(TRF)-loaded niosomes

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Asian Journal of Pharmaceutical Sciences 2016年第1期11卷 56-57页

作者： L.H.Chuah L.De Silva m.saravanan J.Y.Fu School of Pharmacy Monash University MalaysiaBandar Sunway47500 SelangorMalaysia malaysian Palm Oil Board Bandar Baru Bangi43000 SelangorMalaysia

Vesicular delivery systems have gainedmuch attention as pharmaceutical entities since their *** occupy the general structure of bilayer vesicles,having a hydrophilic core shielded from one or multiple hydrophobic lipid *** unique structure enables them to both accommodate oilsoluble compounds as well as to encapsulate water-soluble drugs[1].The anticancer effects of tocotrienol were first discovered in the early 1990s when Nesaretnam et *** that palm oil stripped of vitamin E-promoted tumorigenesis in rats[2].

关键词： Niosomes Tocotrienol Drug delivery Breast cancer

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肝淋巴解剖结构及其在系统性淋巴疾病中的作用

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国际医学放射学杂志 2022年第2期 240-240页

作者： C.L.Smith m.Liu m.saravanan A.G.Dewitt D.m.Biko E.m.Pinto 汤双燕

摘要目的通过肝内淋巴管造影方法，对罹患系统性淋巴疾病的病人由肝脏到全身淋巴系统的连接特征进行阐述，并比较淋巴干预后的结果。方法本回顾性研究纳入了2014

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Cross Layer QoS Aware Scheduling based on Loss-Based Proportional Fairness with multihop CRN

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Computer Systems Science & Engineering 2022年第9期42卷 1063-1077页

作者： K.saravanan G.m.Tamilselvan A.Rajendran Department of ECE KPR Institute of Engineering and TechnologyCoimbatoreIndia Department of IT Sri Krishna College of TechnologyCoimbatoreIndia Department of ECE Karpagam College of EngineeringCoimbatoreIndia

As huge users are involved,there is a difficulty in spectrum allocation and scheduling in Cognitive Radio Networks(CRNs).Collision increases when there is no allocation of spectrum and these results in huge drop rate and network performance *** solve these problems and allocate appropriate spectrum,a novel method is introduced termed as Quality of Service(QoS)Improvement Proper Scheduling(QIPS).The major contribution of the work is to design a new cross layer QoS Aware Scheduling based on Loss-based Proportional Fairness with multihop(QoSAS-LBPFm).In medium Access Control(mAC)multi-channel network environment mobile nodes practice concurrent broadcast between several *** the advantage of introduced cross layer design,the real-time channel conditions offered by Cognitive Radio(CR)function allows adaptive sub channel choice for every *** optimize the resources of network,the LBPFm adaptively plans the radio resources for allocating to diverse services without lessening the quality of *** obtained from simulation proved that QoSAS-LBPFm provides enhanced QoS guaranteed performance against other existing QIPS algorithm.

关键词： Network efficiency distributed architecture mobile ad hoc networks Cognitive Radio Networks(CRNs) QoS improvement scheduling

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Deep Learning Framework for the Prediction of Childhood medulloblastoma

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Computer Systems Science & Engineering 2023年第7期46卷 735-747页

作者： m.muthalakshmi T.merlin Inbamalar C.Chandravathi K.saravanan Department of Biomedical Engineering Veltech Rangarajan Dr.Sagunthala R&D Institute of Science and TechnologyChennaiTamil NaduIndia Department of Electronics and Instrumentation Engineering Saveetha Engineering CollegeChennaiTamil NaduIndia Department of Information Technology J.J.College of Engineering and TechnologyTrichyTamil NaduIndia Department of Information Technology R.M.D Engineering CollegeKavaraipettaiChennaiTamil NaduIndia

This research work develops new and better prognostic markers for predicting Childhood medulloBlastoma(CmB)using a well-defined deep learning architecture.A deep learning architecture could be designed using ideas from image processing and neural networks to predict CmB using histopathological ***,a convolution process transforms the histopathological image into deep features that uniquely describe it using different two-dimensional filters of various sizes.A 10-layer deep learning architecture is designed to extract deep *** introduction of pooling layers in the architecture reduces the feature *** extracted and dimension-reduced deep features from the arrangement of convolution layers and pooling layers are used to classify histopathological images using a neural network *** performance of the CmB classification system is evaluated using 1414(10×magnification)and 1071(100×magnification)augmented histopathological images with five classes of CmB such as desmoplastic,nodular,large cell,classic,and *** results show that the average classification accuracy of 99.38%(10×)and 99.07%(100×)is attained by the proposed CNB classification system.

关键词： Brain tumour childhood medulloblastoma deep learning histopathological images medical image analysis

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Intelligent machine Learning with metaheuristics Based Sentiment Analysis and Classification

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Computer Systems Science & Engineering 2023年第1期44卷 235-247页

作者： R.Bhaskaran S.saravanan m.Kavitha C.Jeyalakshmi Seifedine Kadry Hafiz Tayyab Rauf Reem Alkhammash Department of Information Technology PSNA College of Engineering and TechnologyDindigul624622India Department of Electronics and Communication Engineering K.Ramakrishnan College of TechnologyTrichy621112India Department of Electronics and Communication Engineering K.Ramakrishnan College of TechnologyTiruchirappalli621112India Deparmtent of Applied Data Science Noroff University CollegeKristiansandNorway Department of Computer Science Faculty of Engineering&InformaticsUniversity of BradfordBradfordUnited Kingdom English Department University CollegeTarabaTaif UniversityTaif21944Saudi Arabia

Sentiment Analysis(SA)is one of the subfields in Natural Language Processing(NLP)which focuses on identification and extraction of opinions that exist in the text provided across reviews,social media,blogs,news,and so *** has the ability to handle the drastically-increasing unstructured text by transform-ing them into structured data with the help of NLP and open source *** current research work designs a novel modified Red Deer Algorithm(mRDA)Extreme Learning machine Sparse Autoencoder(ELmSAE)model for SA and *** proposed mRDA-ELmSAE technique initially performs pre-processing to transform the data into a compatible ***,TF-IDF vec-torizer is employed in the extraction of features while ELmSAE model is applied in the classification of ***,optimal parameter tuning is done for ELmSAE model using mRDA technique.A wide range of simulation analyses was carried out and results from comparative analysis establish the enhanced effi-ciency of mRDA-ELmSAE technique against other recent techniques.

关键词： Sentiment analysis data classification machine learning red deer algorithm extreme learning machine natural language processing

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Nanoindentation and Wear Characteristics of Al 5083/SiC_p Nanocomposites Synthesized by High Energy Ball milling and Spark Plasma Sintering

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Journal of materials Science & Technology 2012年第11期28卷 969-975页

作者： Sivaiah Bathula saravanan m Ajay Dhar metals and Alloys Group Materials Physics and Engineering Division CSIR-National Physical Laboratory

AI 5083//10 wt% SiCp nano composites have been synthesized by means of high energy ball milling followed by spark plasma sintering （SPS）. Nano composites produced via this method exhibited near-theoretical density while retaining the nano-grained features. X-ray diffraction （XRD） analysis indicated that the crystalline size of the ball milled AI 5083 matrix was observed to be～25 nm and it was coarsened up to～30 nm after SPS. Nano indentation results of nano composites demonstrated a high hardness of～280 HV with an elastic modulus of 126 GPa. Wear and friction characteristics with addition of SiCp reinforcement exhibited significant improvement in terms of coefficient of friction and specific wear rate to that of nano structured AI 5083 alloy. The reduction in specific wear rate in the nanocomposite was mainly due to the change of wear mechanism from adhesive to abrasive wear with the addition of SiCp which resulted in high hardness associated with nano-grained microstructure.

关键词： metal matrix nano composites Friction/wear mechanical properties Highresolution transmission electron microscopy Spark plasma sintering Nanoindentation

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Effect of Ichnocarpus frutescens (L.) *** extract on preadipocytes viability and lipid accumulation in 3T3-L1 cells

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Asian Pacific Journal of Tropical medicine 2013年第5期6卷 360-365页

作者： m.saravanan Savarimuthu Ignacimuthu Division of Ethnopharmacology Entomology Research InstituteLoyola CollegeChennaiTamilnadu 600 034India Entomology Research Institute Loyola CollegeChennaiTamilnadu 600 034India

Objective:To investigate the crude extracts of Ichnacarpus frutescens(***) for antiobesity ***:Leaves of *** were sequentially extracted with hexane,ethyl acetate, and methanol and their effect on viability of 3T3-L1 preadipocytes were *** on this the apoptosis on preadipocytes was confirmed by DmA fragmentation and LDH(Lactate dehydrogenase) leakage ***-adipogenesis was performed by oil red O(ORO) staining and free glycerol release in the medium of differentiated ***:The hexane extract of ***(IFHE) inhibited cell viability in a time- and dose-related *** increased release of *** a marker of membrane integrity,was observed at a dose of 200μg/mL The discontinuous DmA fragments on agarose gel electrophoresis showed the apoptotic effect of the *** observations of cells stained with ORG showed a decrease in cellular lipid content at the concentrations tested compared to the induced control *** the experiment of lipolytic activity,treatment with IFHE enhanced glycerol secretion with the rates of approximately 28%.55%,and 46%at the concentrations of 100,200 and 300μg/mL,***: The observed properties clearly revealed the medicinal property of *** in the treatment of obesity.

关键词： Obesity Adipocytes Apoptosis Adipogenesis

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