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Web-based remote sensing image retrieval using multiscale and multidirectional analysis based on Contourlet and Haralick texture features

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International Journal of Intelligent Computing and Cybernetics 2021年第4期14卷 533-549页

作者： rajakumar krishnan Arunkumar Thangavelu P.Prabhavathy Devulapalli Sudheer Deepak Putrevu Arundhati Misra School of Computer Science and Engineering Vellore Institute of TechnologyVelloreIndia School of Information Technology and Engineering Vellore Institute of TechnologyVelloreIndia School of Computer Science and Engineering Vellore Institute of TechnologyVelloreIndiaand Space Applications Centre AhmedabadIndia

Purpose-Extracting suitable features to represent an image based on its content is a very tedious *** in remote sensing we have high-resolution images with a variety of objects on the Earth’s *** distance metric is used to measure the similarity between query and database *** low distance obtained image is indexed at the top as high relevant information to the ***/methodology/approach-This paper aims to develop an automatic feature extraction system for remote sensing image *** texture features based on Contourlet transform are fused with statistical features extracted from the QuadTree(QT)decomposition are developed as feature set to represent the input *** extracted features will retrieve similar images from the large image datasets using an image-based query through the web-based user ***-The developed retrieval system performance has been analyzed using precision and recall and F1 *** proposed feature vector gives better performance with 0.69 precision for the top 50 relevant retrieved results over other existing multiscale-based feature extraction ***/value-The main contribution of this paper is developing a texture feature vector in a multiscale domain by combining the Haralick texture properties in the Contourlet domain and Statistical features using QT *** features required to represent the image is 207 which is very less dimension compare to other texture *** performance shows superior than the other state of art methods.

关键词： Image retrieval Remote sensing Contourlet Texture features Web-based search CBIR Multiscale texture

A Novel Outlier Detection with Feature Selection Enabled Streaming Data Classification

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Intelligent Automation & Soft Computing 2023年第2期35卷 2101-2116页

作者： R.rajakumar S.Sathiya Devi Anna University Chennai600025India University College of Engineering BIT CampusAnna UniversityTiruchirappalli620024India

Due to the advancements in information technologies,massive quantity of data is being produced by social media,smartphones,and sensor *** investigation of data stream by the use of machine learning(ML)approaches to address regression,prediction,and classiﬁcation problems have received consid-erable *** the same time,the detection of anomalies or outliers and feature selection(FS)processes becomes *** study develops an outlier detec-tion with feature selection technique for streaming data classiﬁcation,named ODFST-SDC ***,streaming data is pre-processed in two ways namely categorical encoding and null value *** addition,Local Correla-tion Integral(LOCI)is used which is signiﬁcant in the detection and removal of ***,red deer algorithm(RDA)based FS approach is employed to derive an optimal subset of ***,kernel extreme learning machine(KELM)classiﬁer is used for streaming data classiﬁ*** design of LOCI based outlier detection and RDA based FS shows the novelty of the *** order to assess the classiﬁcation outcomes of the ODFST-SDC technique,a series of simulations were performed using three benchmark *** experimental results reported the promising outcomes of the ODFST-SDC technique over the recent approaches.

关键词： Streaming data classiﬁcation outlier removal feature selection machine learning metaheuristics

Dimensionality Reduction Using Optimized Self-Organized Map Technique for Hyperspectral Image Classification

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Computer Systems Science & Engineering 2023年第11期47卷 2481-2496页

作者： S.Srinivasan K.rajakumar School of Computer Science and Engineering VIT UniversityVellore632014India

The high dimensionalhyperspectral image classification is a challenging task due to the spectral feature *** high correlation between these features and the noises greatly affects the classification *** overcome this,dimensionality reduction techniques are widely *** image processing applications recently propose numerous deep learning ***,in hyperspectral image classification,the features of deep learning models are less ***,for efficient hyperspectral image classification,a depth-wise convolutional neural network is presented in this research *** handle the dimensionality issue in the classification process,an optimized self-organized map model is employed using a water strider optimization *** network parameters of the self-organized map are optimized by the water strider optimization which reduces the dimensionality issues and enhances the classification *** datasets such as Indian Pines and the University of Pavia(UP)are considered for experimental *** dimensionality reduction methods like Enhanced Hybrid-Graph Discriminant Learning(EHGDL),local geometric structure Fisher analysis(LGSFA),Discriminant Hyper-Laplacian projection(DHLP),Group-based tensor model(GBTM),and Lower rank tensor approximation(LRTA)methods are compared with proposed optimized SOM *** confirm the superior performance of the proposed model of 98.22%accuracy for the Indian pines dataset and 98.21%accuracy for the University of Pavia dataset over the existing maximum likelihood classifier,and Support vector machine(SVM).

关键词： Hyperspectral image dimensionality reduction depth-wise separable model water strider optimization self-organized map

Fingerprint Agreement Using Enhanced Kerberos Authentication Protocol on M-Health

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Computer Systems Science & Engineering 2022年第11期43卷 833-847页

作者： A.S.Anakath S.Ambika S.rajakumar R.Kannadasan K.S.Sendhil Kumar School of Computing E.G.S.Pillay Engineering CollegeNagapattinam611002India Department of Computer Science and Engineering University College of Engineering AriyalurAriyalur621705India Department of Mathematics University College of Engineering AriyalurAriyalur621705India Department of Software Systems School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014India Department of IoT School of Computer Science and Engineering(SCOPE)Vellore Institute of Technology UniversityVellore632014India

Cloud computing becomes an important application development platform for processing user data with high *** providers are accustomed to providing storage centers outside the trusted location preferred by the data ***,ensuring the security and confidentiality of the data while processing in the centralized network is very *** secured key transmission between the sender and the receiver in the network is a huge challenge in managing most of the sensitive data transmission among the cloud *** are very active over the network like real authenticated user to hack the personal sensitive data,such as bank balance,health data,personal data,and confidential documents over the cloud *** this research,a secured key agreement between the sender and the receiver using Kerberos authentication protocol with fingerprint is proposed to ensure security in *** of patients are monitored using wireless sensor devices and are then transferred to the *** protocol helps in avoiding unnecessary communication of authenticated data over the cloud *** security process is a procedure with the best security in most of the authentication *** node is responsible in carrying data packets from the sender to the receiver in the cloud *** Kerberos protocol is used in trust node to ensure *** communication between the local health center and the healthcare server is ensured by using a fingerprint feature called minutiae form,which refers to the fingerprint image of both sender and *** computational and communicational cost of the proposed system is lesser when compared with other existing authentication methods.

关键词： Protocol security m-health cloud computing biometric fingerprint kerberos protocol

Histopathological studies and oxidative stress of synthesized silver nanoparticles in Mozambique tilapia (Oreochromis mossambicus)

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Journal of Environmental Sciences 2012年第6期24卷 1091-1098页

作者： rajakumar Govindasamy Abdul Abdul Rahuman Unit of Nanotechnology and Bioactive Natural Products Post Graduate and Research Department of ZoologyC.Abdul Hakeem CollegeMelvisharam-632509Vellore DistrictTamil NaduIndia

To evaluate the potential environmental effects of engineered nano metals,it is important to determine the adverse effects of various nanomaterials on aquatic *** tilapia （Oreochromis mossambicus） were maintained in 10 L glass aquaria,and exposed to a graded series of synthesized silver nanoparticles （Ag-NPs） at 25,50 and 75 mg/L for eight *** LC 50 value was 12.6 mg/*** activities of antioxidant enzymes and the contents of antioxidants were lowered in the gills and liver of fishes treated with AgNPs,which resulted in heavy accumulation of free *** results imply that the balance between the oxidative and antioxidant system in the fish was broken down during Ag-NPs *** principal concern related with the release of nanomaterials and their smaller particle may change the materials transport and potential toxicity to aquatic organisms compared to larger particles.

关键词： silver nanoparticles Oreochromis mossambicus oxidative stress analysis histopathological studies toxic effect

Electrocatalytic reduction of ortho nitrobenzaldehyde using modified aluminum electrode and its determination

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Journal of Environmental Sciences 2014年第7期26卷 1531-1539页

作者： Vairamuthu Raj Jayachandran Silambarasan Panchanathan rajakumar Advanced Materials Research Laboratory Department of Chemistry Periyar University Salem 636011 India

A simple, cost effective and rapid electrochemical method has been developed for the determination of micro level ortho nitrobenzaldehyde（ONB） based on outstanding properties of modified aluminum electrode tin nanorods/anodic aluminum oxide/aluminum（SnNR/AAO/Al） for the first time. The SnNR/AAO/Al electrode was fabricated by a second step anodization, followed by electrodeposition and its electrochemical behavior was investigated in detail. The cyclic voltammetry results indicated that the SnNR/AAO/Al electrode exhibited efficient electrocatalytic activity toward reduction of ONB in the acidic solution. It provides an appreciable improvement of reduction peak for ONB at-0.721 ***, various kinetic parameters such as transfer electron number, transfer proton number and standard heterogeneous rate constant were calculated from the scan *** electrocatalytic behavior was further exploited as a sensitive detection scheme for the ONB determination by differential pulse voltammetry. Under the optimized conditions, the concentration range and detection limit are 0.1-100 μmol/L and 0.05 μmol/L, respectively,for ONB. The analytical performance of this modified sensor has been evaluated for detection of real sample such as river water and recovery of ONB was achieved all-out up to102.3% under standard addition method.

关键词： Electrochemical sensor Organic pollutant Aluminum electrode Anodic aluminum oxide Tin nanorods Ortho nitrobenzaldehyde Cyclic voltammetry

Study on the Performance Deterioration of Mixed Flow Impeller due to Change in Tip Clearance

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Journal of Thermal Science 2013年第6期22卷 532-538页

作者： Ramesh rajakumar.D Ramamurthy.S Govardhan.M National Aerospace Laboratories-Bangalore-560017 NCAD National Aerospace Laboratories Thermal Turbomachines laboratory Department of Mechanical EngineeringIndian Institute of Technology Madras

Performance of mixed flow compressor with un-shrouded impeller strongly depends upon unsteady, asymmetrical flow fields in the axial directions. The flow through the mixed flow impeller is complex due to three-dimensional nature of geometry. In mixed flow impeller, there are clearances between the rotating impeller blades and the casing as the high pressure ratio compressors are usually open shrouded impellers. As a result, certain amount of reduction in the performance is unavoidable due to clearance flows. In the present investigations, numerical analysis is performed using a commercial code to investigate tip clearance effects on through flow. The performance of mixed flow impeller with four different clearances between impeller and stationary shroud are evaluated and compared with experimental results. The impeller performance map was obtained for different operating speeds and mass flow rates with different tip clearances. The result shows that the tip leakage flow strongly interacts with mainstream and contributes to total pressure loss and performance reduction. The pressure and performance decrement are approximately linearly proportional to the gap between impeller and stationary *** analysis showed scope for improvement in design of the compressor for better performance in terms of efficiency and operating range.

关键词：闭式叶轮叶尖间隙性能恶化混流式混合流动压缩机几何形状叶轮叶片

Establishing empirical relationships to predict grain size and tensile strength of friction stir welded AA 6061-T6 aluminium alloy joints

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Transactions of Nonferrous Metals Society of China 2010年第10期20卷 1863-1872页

作者： S.rajakumar C.MURALIDHA RAN V.BALASUBRAMANIAN Department of Manufacturing Engineering Annamalai University

AA 6061-T6 aluminium alloy(Al-Mg-Si alloy) has gathered wide acceptance in the fabrication of light weight structures requiring a high specific strength and good corrosion *** with the fusion welding processes that are routinely used for joining structural aluminium alloys,friction stir welding(FSW) process is an emerging solid state joining process in which the material welded does not melt and *** strength is influenced by the grain size and tensile strength of the weld nugget ***,an attempt was made to develop empirical relationships to predict grain size and tensile strength of friction stir welded AA 6061-T6 aluminium alloy *** empirical relationships are developed by response surface methodology(RSM) incorporating FSW tool and process parameters.A linear regression relationship was also established between grain size and tensile strength of the weld nugget of FSW joints.

关键词：搅拌摩擦焊接铝合金接头拉伸强度经验关系焊接机粒度预测铝合金结构

Plant growth-promoting rhizobacteria(PGPR)and its mechanisms against plant diseases for sustainable agriculture and better productivity

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BIOCELL 2022年第8期46卷 1843-1859页

作者： PRANAB DUTTA GOMATHY MUTHUkrishnan SABARINATHAN KUTALINGAM GOPALASUBRAMAIAM rajakumar DHARMARAJ ANANTHI KARUPPAIAH KARTHIBA LOGANATHAN KALAISELVI PERIYASAMY MARUMUGAM PILLAI GK UPAMANYA SARODEE BORUAH LIPA DEB ARTI KUMARI MADHUSMITA MAHANTA PUNABATI HEISNAM AK MISHRA School of Crop Protection Central Agricultural University(Imphal)UmiamIndia Department of Soil Science and Agricultural Chemistry Agricultural College and Research InstituteTamil Nadu Agricultural UniversityKoyingbatoreIndia Department of Crop physiology Agricultural College and Research InstituteTamil Nadu Agricultural UniversityKoyingbatoreIndia Departments of Pulses Tamil Nadu Agricultural UniversityCoimbatoreKoyingbatoreIndia Department of Environmental Sciences Horticultural College and Research InstituteTamil Nadu Agricultural UniversityKoyingbatoreIndia Department of Plant pathology Assam Agricultural UniversityDhubriIndia KVK-Tinsukia Assam Agricultural UniversityTinsukiaIndia Department of Plant Pathology Central Agricultural University(Imphal)PasighatIndia Department of Plant Pathology Dr Rajendra Prasad Central Agricultural UniversityBiharIndia

Plant growth-promoting rhizobacteria(PGPR)are specialized bacterial communities inhabiting the root rhizosphere and the secretion of root exudates helps to,regulate the microbial dynamics and their interactions with the *** bacteria viz.,Agrobacterium,Arthobacter,Azospirillum,Bacillus,Burkholderia,Flavobacterium,Pseudomonas,Rhizobium,etc.,play important role in plant growth *** addition,such symbiotic associations of PGPRs in the rhizospheric region also confer protection against several diseases caused by bacterial,fungal and viral *** biocontrol mechanism utilized by PGPR includes direct and indirect mechanisms direct PGPR mechanisms include the production of antibiotic,siderophore,and hydrolytic enzymes,competition for space and nutrients,and quorum sensing whereas,indirect mechanisms include rhizomicrobiome regulation *** of root exudates,phytostimulation through the release of phytohormones viz.,auxin,cytokinin,gibberellic acid,1-aminocyclopropane-1-carboxylate and induction of systemic resistance through expression of antioxidant defense enzymes viz.,phenylalanine ammonia lyase(PAL),peroxidase(PO),polyphenyloxidases(PPO),superoxide dismutase(SOD),chitinase andβ-*** the suppression of plant diseases potent bio inoculants can be developed by modulating the rhizomicrobiome through rhizospheric *** addition,understandings of different strategies to improve PGPR strains,their competence,colonization efficiency,persistence and its future implications should also be taken into consideration.

关键词： Plant growth-promoting rhizobacteria Biocontrol Plant diseases PGPR mechanisms Sustainable agriculture