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Secure Data Sharing with Confidentiality,Integrity and Access Control in Cloud Environment

Computer Systems Science & Engineering 2022年第2期40卷 779-793页

作者： v.rajkumar M.Prakash v.vennila Department of Computer Science and Engineering Krishnasamy College of Engineering and Technology(Affiliated to Anna UniversityChennai)Cuddalore607109India Department of Computer Science and Engineering School of ComputingSRM Institute of Science&TechnologyKattankulathur603203India Department of Computer Science and Engineering K.S.R.College of Engineering(Affiliated to Anna UniversityChennai)Tiruchengode637215India

Cloud storage is an incipient technology in today’s *** of security in cloud environment is one of the primary challenges faced these *** scenario poses new security issues and it forms the crux of the current *** current study proposes Secure Interactional Proof System(SIPS)to address this *** methodology has a few key essential components listed herewith to strengthen the security such as authentication,confidentiality,access control,integrity and the group of components such as AvK Scheme(Access List,verifier and Key Generator).It is challenging for every user to prove their identity to the verifier who maintains the access *** is conducted by following Gulliou-Quisquater protocol which determines the security level of the user in multi-step authentication ***,RSA algorithm performs the key generation process while the proposed methodology provides data integrity as well as confidentiality using asymmetric *** methodological operations such as time consumption have been used as performance evaluators in the proposed SIPS *** proposed solution provides a secure system for firm data sharing in cloud environment with confidentiality,authentication and access *** Timed Petri(STPN)Net evaluation tool was used to verify and prove the formal analysis of SIPS *** evidence established the effectiveness of the proposed methodology in secure data sharing in cloud environment.

关键词： Secure interactional proof system access control multi-step authentication Gulliou-Quisquater protocol

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Therapeutic Potentials of Oroxylum indicum Bark Extracts

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中国天然药物 2010年第2期8卷 121-126页

作者： R.Ashok Kumar v.rajkumar Gunjan Guha Lazar Mathew School of Bio Sciences and Technology VIT UniversityVellore-632014.Tamil NaduIndia

AIM:Diverse therapeutic potentials of methanolic and aqueous extracts of Oroxylum indicum(L.)***,includ- ing antioxidant property,cytotoxicity and protection against oxidative DNA damage were investigated in this ***:Total phenolics in the extracts were determined by spectrophotometric *** reducing antioxidant property(FRAP),free radical (DPPH·and ·OH)scavenging activities,as well as inhibitory effect on lipid peroxidation have been *** of the extracts was investigated by XTT assay in MDA-MB-435S and Hep3B cell *** of DNA by the extracts against oxidative damage by Uv-photolysis of H2O2 was ***:Total phenolic content and inhibition of lipid peroxidation in both extracts were found to be ***,both extracts exhibited considerable free radical scavenging and ferric reducing abili- *** extracts demonstrated extensive cytotoxicity in both tested cell lines,with the methanolic extract showing greater cytotoxic *** extracts exhibited moderate levels of DNA protection against oxidative *** phenolic content was noted to have significant positive correlations with free radical scavenging and reducing power,as well as lipid peroxidation inhibition(Pverse biological activities in vitro and could render itself as a prospective candidate for drug research.

关键词：激进分子净化方法减轻体重法氧化特性

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Exploring the electromagnetic shielding behavior of lanthanum doped calcium nanoferrites

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Journal of Rare Earths 2024年第11期42卷 2128-2136页

作者： E.Ahilandeswari K.Sakthipandi R.Rajesh Kanna G.rajkumar B.Ganesh Babu S.Arunmetha Aslam Hossain P.Sakthivel v.Rajendran M.Srinidhi Raghavan Department of Physics SRM TRP Engineering College Department of Electronics and Communication Engineering M. Kumarasamy College of Engineering Department of Physics Easwari Engineering College Department of Mechanical Engineering SRM TRP Engineering College Centre for Advanced Energy Studies Department of Electronics and Communication EngineeringKoneru Lakshmaiah Education Foundation Smart Materials Research Institute Southern Federal University Centre for Materials Science Department of PhysicsScience and HumanitiesFaculty of EngineeringKarpagam Academy of Higher Education Centre for Nanotechnology Academy of Maritime Education and Training (Deemed to be University) Department of Chemistry and Centre for Nano-Materials and Displays B.M.S. College of Engineering

The present study focuses on the synthesis and characterization of lanthanum(La3+)-doped calcium nanoferrites(CaLaxFe2-xO4:x=0.025,0.050,0.075 and 0.100) using the sonochemical *** techniques were employed to analyze the effect of La3+infusion,Raman spectroscopy confirms the presence of active A1g,T2gand Egmodes in the CaLaxFe2-xO4nanoferrite,indicating the formation of an active ferrite *** introduction of La3+doping results in a significant increase in the band gap energy,rendering the nanoferrites insulating（3.23-3,57 ev）.At higher frequencies,the impedance studies reveal minimal losses and better AC conductivity,pointing to improved dielectric *** higher frequencies,the Q-factor of La-doped calcium nanoferrites shows lower electromagnetic *** M-H curve exhibits ferromagnetic behavior,with La3+-doped calcium nano ferrites displaying a saturation magnetization ranging from 12.72 to 18.10 emu/*** incorporation of La3+also induces enhanced electrical polarization,leading to notable dielectric loss and increased absorption of electromagnetic ***,these CaLaxFe2-xO4nanoferrites demonstrate potential as effective microwave absorbers across a wide frequency range,with significant shielding absorption observed at 8.8-9.1 GHz.

关键词： Dielectric Magnetism Microwave absorption Nanoferrites Rare earths Structural properties

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A Study on Outlier Detection and Feature Engineering Strategies in Machine Learning for Heart Disease Prediction

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Computer Systems Science & Engineering 2024年第5期48卷 1085-1112页

作者： varada rajkumar Kukkala Surapaneni Phani Praveen Naga Satya Koti Mani Kumar Tirumanadham Parvathaneni Naga Srinivasu Department of Computer Science&Engineering(AIML) MLR Institute of TechnologyHyderabad500043India Department of Computer Science and Engineering Prasad V.Potluri Siddhartha Institute of TechnologyVijayawada520007India Department of Computer Science&Engineering Sir C.R.Reddy College of EngineeringEluru534001India Amrita School of Computing Amrita Vishwa VidyapeethamAmaravati522503India Department of Teleinformatics Engineering Federal University of CearáFortaleza60455-970Brazil

This paper investigates the application ofmachine learning to develop a response model to cardiovascular problems and the use of AdaBoost which incorporates an application of Outlier Detection methodologies namely;Z-Score incorporated with GreyWolf Optimization(GWO)as well as Interquartile Range(IQR)coupled with Ant Colony Optimization(ACO).Using a performance index,it is shown that when compared with the Z-Score and GWO with AdaBoost,the IQR and ACO,with AdaBoost are not very accurate(89.0%vs.86.0%)and less discriminative(Area Under the Curve(AUC)score of 93.0%vs.91.0%).The Z-Score and GWO methods also outperformed the others in terms of precision,scoring 89.0%;and the recall was also found to be satisfactory,scoring 90.0%.Thus,the paper helps to reveal various specific benefits and drawbacks associated with different outlier detection and feature selection techniques,which can be important to consider in further improving various aspects of diagnostics in cardiovascular ***,these findings can enhance the knowledge of heart disease prediction and patient treatment using enhanced and innovativemachine learning(ML)*** findings when combined improve patient therapy knowledge and cardiac disease prediction through the use of cutting-edge and improved machine learning *** work lays the groundwork for more precise diagnosis models by highlighting the benefits of combining multiple optimization *** studies should focus on maximizing patient outcomes and model efficacy through research on these combinations.

关键词： Grey wolf optimization ant colony optimization Z-Score interquartile range(IQR) AdaBoost outlier

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5G Data Offloading Using Fuzzification with Grasshopper Optimization Technique

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Computer Systems Science & Engineering 2022年第7期42卷 289-301页

作者： v.R.Balaji T.Kalavathi J.vellingiri N.rajkumar venkat Prasad Padhy Department of ECE Sri Krishna College of Engineering and TechnologyCoimbatore641008India Department of EIE Kongu Engineering CollegeErode638060India School of Information Technology and Engineering Vellore Institute of TechnologyVellore632014India Department of CSE School of EngineeringPresidency UniversityBangalore560064India School of Computing Science and Engineering VIT Bhopal UniversityBhopal466114India

Data ofﬂoading at the network with less time and reduced energy con-sumption are highly important for every *** applications process the data very quickly with less power *** technology grows towards 5G communication architecture,identifying a solution for QoS in 5G through energy-efﬁcient computing is *** this proposed model,we perform data ofﬂoading at 5G using the fuzziﬁcation *** IoT devices create tasks in the network and are ofﬂoaded in the cloud or mobile edge nodes based on energy *** base stations,small(SB)and macro(MB)stations,are initialized and theﬁrst tasks randomly ***,the tasks are pro-cessed using a fuzziﬁcation algorithm to select SB or MB in the central *** optimization is performed using a grasshopper algorithm for improving the QoS of the 5G *** result is compared with existing algorithms and indi-cates that the proposed system improves the performance of the system with a cost of 44.64 J for computing 250 benchmark tasks.

关键词： 5G energy consumption task ofﬂoading fuzziﬁcation grasshopper optimization QoS mobile IoT

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Prediction of Facial Profile Based on Morphometric Measurements and Profile Characteristics of Permanent Maxillary Central Incisor Teeth

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Journal of Forensic Science and Medicine 2015年第1期1卷 26-32页

作者： Raghavendra N venkatesh v Kamath Krishnanand P Satelur Komali rajkumar Department of Oral and Maxillofacial Pathology Dr.Syamala Reddy Dental CollegeHospital and Research CentreBangaloreKarnatakaIndia

The computation of facial profile from dental morphometrics has been a subject of great interest in forensic *** use of teeth to draw a profile and facial features is valuable in times of mass disasters when body remains are unavailable due to extreme *** study aims to identify and evaluate applicable parameters in the permanent maxillary central incisors and the face of an individual.A correlation of these parameters establishes a mathematical equation that further charts a tooth‑facial profile *** soft and hard tissue landmarks on the face in the frontal and the lateral profiles(using standardized photographs)and seven landmarks on the facial/labial surface of the clinical crown of the permanent maxillary central incisor(using casts of the maxilla)were identified for the *** on these,a set of eight horizontal and seven vertical parameters on the face and four parameters on the tooth were created for the *** and external correlations between the two were carried out and statistically analyzed.A logistic regression was made to predict the probability of the parameters most likely to be reproduced in the creation of the facial profile,based on tooth *** results indicated a definite correlation between the facial and the tooth *** the multiple parameters,a definite correlation in the horizontal dimension could be established between the mouth width and the mesiodistal width(MDW)of the *** the vertical dimension,a definite relationship existed between the crown height of the tooth and the width of the midface(zygoma‑mandible).There exist divergences in the correlation of tooth and facial parameters.

关键词： Dental morphometrics forensic odontology permanent maxillary central incisor

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Diabetic Retinopathy Diagnosis Using ResNet with Fuzzy Rough C-Means Clustering

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Computer Systems Science & Engineering 2022年第8期42卷 509-521页

作者： R.S.rajkumar A.Grace Selvarani Sri Ramakrishna Engineering College Coimbatore641022India

Diabetic Retinopathy(DR)is a vision disease due to the long-term prevalenceof Diabetes *** affects the retina of the eye and causes severedamage to the *** not treated on time it may lead to permanent vision lossin diabetic ***’s development in science has no medication to cureDiabetic ***,if diagnosed at an early stage it can be controlledand permanent vision loss can be *** to the diabetic population,experts to diagnose Diabetic Retinopathy are very less in particular to local *** an automatic computer-aided diagnosis for DR detection is *** paper,we propose an unsupervised clustering technique to automatically clusterthe DR into one of its five development *** deep learning based unsupervisedclustering is made to improve itself with the help of fuzzy rough c-meansclustering where cluster centers are updated by fuzzy rough c-means clusteringalgorithm during the forward pass and the deep learning model representationsare updated by Stochastic Gradient Descent during the backward pass of *** proposed method was implemented using python and the results were takenon DGX server with Tesla v100 GPU *** experimental result on the publicallyavailable Kaggle dataset shows an overall accuracy of 88.7%.The proposedmodel improves the accuracy of DR diagnosis compared to the existingunsupervised algorithms like k-means,FCM,auto-encoder,and FRCM withalexnet.

关键词： Diabetic retinopathy detection diabetic retinopathy diagnosis fuzzy rough c-means clustering unsupervised CNN clustering

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Synthesis and Characterization of C-TiO_2/FeTiO_3 and CQD/C-TiO_2/FeTiO_3 Photocatalysts with Enhanced Photocatalytic Activities Under Sunlight Irradiation

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Acta Metallurgica Sinica(English Letters) 2016年第1期29卷 17-27页

作者： Ramakrishna Dadigala Bhagavanth Reddy Gangapuram rajkumar Bandi Ayodhya Dasari veerabhadram Guttena Department of Chemistry Osmania University

Sunlight-driven C-TiO2/FeTiO3 composites were synthesized with different weight fractions of FeTiO3. The as-prepared samples were characterized by Uv-visible diffuse reflectance spectroscopy, Fourier transform infrared spectroscopy, X-ray diffraction analysis, transmission electron microscopy, scanning electron microscopy, energy-dis- persive X-ray spectroscopy, and photoluminescence. Under sunlight irradiation, the C-TiO2/FeTiO3 photocatalysts degraded methyl orange （MO） efficiently and displayed much higher photocatalytic activity than that of pure FeTiO3 or carbon-doped titanium dioxide （C-TiO2）, and the C-TiOE/FeTiO3 photocatalyst with 10 wt% of FeTiO3 exhibited the highest photocatalytic activity. The enhancement of photocatalytic activity was mainly ascribed to the formation of a heterojunction between C-TiO2 and FeTiO3, which facilitated the transfer and separation of photogenerated electron-hole pairs. The quenching effects of different scavengers demonstrated that the reactive superoxide radicals （02-） and hydroxyl radicals （OH） played a major role in the MO degradation. The possible photocatalytic mechanism is discussed on the basis of the band structures of C-TiO2 and FeTiO3. To further enhance the photocatalytic efficiency, double-heterojunctioned CQD/C-TiO2/FeTiO3 composite was prepared by loading carbon quantum dots onto the C-TiO2/FeTiO3 surface.

关键词： C-TiO2 FeTiO3 CQD Composites Sunlight photocatalytic activity

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Seasonal variations of phytoplankton diversity in the Coleroon coastal waters,southeast coast of India

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Acta Oceanologica Sinica 2010年第5期29卷 97-108页

作者： Thillai Rajasekar K rajkumar M SUN Jun Ashok Prabu v Perumal P Centre of Advanced Study in Marine Biology Annamalai University Tamil Nadu India Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 China Department of Biotechnology Periyar University Tamil Nadu India

The results of an investigation carried out during June 2005 to May 2007 on physico-chemical parameters,species composition and community structure of phytoplankton including Chlorophyll a（Chl-a） at the Coleroon coastal waters（Southeast coast of India） are *** and surface water temperatures（℃） varied from 25.1 to 30.1 and from 24.5 to 28.5 *** values varied from 6 to 28.5 and the pH ranged between 7.0 and *** in dissolved oxygen content was from 3.1 to 7.5 mg/dm^3 while the light extinction coefficient values（LEC） ranged between 3.1 and 10.1 *** ranges of inorganic nutrients（μmol/dm^3） viz.,nitrate,nitrite,phosphate and silicate were 10.1-23.4,1.2-8.9,0.2-3.1 and 55-125,*** ranges of Chlorophyll a（μg/dm-3） values was ***,124 phytoplankton species representing different classes viz：Bacillariophyceae（77）,Dinophyceae（19）,Cyanophyceae（15）,Chlorophyceae（10） and Chrysophyceae（3） were *** phytoplankton cell abundance varied from 0.290 to 111.662 cells/cm-3,with peak diversity（3.38 bits/ind.） during summer *** maximum abundance was found during summer season coinciding with the stable hydrographical *** seasonal distribution and abundance of phytoplankton are discussed in relation to hydrographical *** Correspondence Analysis（CCA） was applied in this paper for discriminating environmental factors having effect on phytoplankton community at species *** coastal water is subjected to long term fluctuations in physico-chemical parameters depending upon the seasonal tidal amplitude and freshwater influx resulting in a continuous exchange of organic,inorganic,plant and animal matters.

关键词： physico-chemical parameters phytoplankton species composition abundance diversity Coleroon coastal waters

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Bloom Forming Species of Phytoplankton in Two Coastal Waters in the Southeast Coast of India

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Journal of Ocean University of China 2010年第3期9卷 265-272页

作者： K. Thillai Rajasekar M. rajkumar SUN Jun v. Ashok Prabu E Perumal Centre of Advanced Study in Marine Biology Annamalai University Parangipettai - 608502 Tamil Nadu India Institute of Oceanology Chinese Academy of Sciences Qingdao 266071 P. R. China Department of Biotechnology Periyar University Salem - 636011 Tamil Nadu India

The results of an investigation carried out during June 2005 to May 2007 on bloom-forming phytoplankton species composition and abundance in the Parangipettai and Coleroon coastal waters （Southeast coast of India） are reported. Air and surface water temperatures （℃） varied from 25.1 to 30.1 and 24.5 to 28.5, respectively, in the former waters and from 25.5 to 31.2 and 25.0 to 29.3 in the latter waters. The respective salinities varied from 6.0 to 28.5 and 5.0 to 33.1 and the respective pH ranged between 7.0 and 8.3 and 7.2 and 8.3. Correspondingly, the dissolved oxygen content varied from 3.1 to 7.5 and 3.1 to 7.9 mgL1 while the light extinction coefficient （LEC） values ranged between 3.1 and 10.1 and 1.8 and 11.0. The content ranges of inorganic nutrients, i.e., nitrate, nitrite, phosphate and silicate （μmolL^-1）, in the Parangipettai and Coleroon coastal waters were： 6.5- 27.0; 1.0- 8.9; 0.1-3.0 and 15.0 -140 and 10.1-23.4; 1.2-8.9; 0.2-3.1 and 55-125 respectively. The chlorophyll α contents in both waters ranged from 2.0-7.5 μgL^-1. Presently, 124 phytoplankton species representing different classes were recorded in the Coleroon coast, viz, Bacillariophyceae （77）; Dinophyceae （19）; Cyanophyceae （15）; Chlorophyceae （10） and Chrysophyceae （3）, whereas 117 phytoplankton species were recorded in the Parangipettai coast, viz, Bacillariophyceae （66）; Dinophyceae （22）; Cyanophyceae （19）; Chlorophyceae （7） and Chrysophyceae （3）. The phytoplankton cell abundance in the Parangipettai and Coleroon coastal waters varied from 290 to 111662 and 140 to 132 757 cells L^-1, respectively, with peak diversity （3.38 and 3.52 bits indl.） recorded in summer. The maximum abundance occurred in summer coinciding with the stable hydrographical conditions. The seasonal distribution and abundance of phytoplankton are discussed in relation to hydrographical parameters. Totally 31 and 24 species of phytoplankton were found to be bloom-forming in the Parangipettai and Coleroon coastal waters,

关键词： Bloom-forming phytoplankton species abundance Parangipettai and Coleroon coastal waters

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