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Journal of Magnesium and Alloys 2022年第5期10卷 1381-1400页

作者： S.suresh M.Navaneetha Krishnan S.C.Vettivel Department of Mechanical Engineering University College of EngineeringNagercoilTamilnaduIndiaPin:629004 Department of Mechanical Engineering Universal College of Engineering and TechnologyVallioorTamilnaduIndiaPin:627117 Department of Mechanical Engineering Chandigarh College of Engineering and TechnologyChandiagarh 160019India

The emphasis of this exploration was to examine the workability and work hardening performance of Mg(Magnesium)specimen and Mg-B_(4)C composites created via the powder metallurgy *** pure Mg and Mg-B_(4)C composites are made with distinct weight percentages(Mg-5%B_(4)C,Mg-10%B_(4)C,and Mg-15%B_(4)C)at the unit aspect *** powders and composites characterization are executed by SEM(Scanning Electron Microscope),EDS(Energy Dispersive Spectrum)with an elemental map,and XRD(X-ray Diffraction)*** displays that,the B_(4)C particles were dispersed consistently with the Mg *** workability and work hardening examination was conducted in triaxial stress conditions using the cold deformation *** consequence of workability stress exponent factor(β_(σ)),distinct stress proportion factors(σ_(m)/σ_(eff)and σ_(θ)/σ_(eff)),instantaneous work hardening exponent(n_(1)),work hardening exponent(n),coefficient of strength(k)and instantaneous coefficient of strength(k_(1))are *** outcome displays that Mg-15%B_(4)C specimen has greater workability and work hardening parameter,initial relative density,and triaxial stresses compared with the Mg specimen and Mg-(5–10%)B_(4)C composites.

关键词： powder metallurgy Cold deformation Workability Instantaneous work hardening exponent Workability stress exponent Triaxial stress

Multivariate Broadcast Encryption with Group Key Algorithm for Secured IoT

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Computer Systems Science & Engineering 2023年第4期45卷 925-938页

作者： M.suresh Kumar T.purosothaman Department of Computer Sceince and Engineering Sri Ranganathar Institute of Engineering and TechnologyCoimbatore641110India Department of Electronics and Communication Engineering Government College of TechnologyCoimbatore641013India

The expanding and ubiquitous availability of the Internet of Things(IoT)have changed everyone’s life easier and more *** time it also offers a number of issues,such as effectiveness,security,and excessive power consumption,which constitute a danger to intelligent IoT-based *** managing is primarily used for transmitting and multi-pathing communications that are secured with a general group key and it can only be decrypted by an authorized group member.A centralized trustworthy system,which is in charge of key distribution and upgrades,is used to maintain group *** provide longitudinal access controls,Software Defined Network(SDN)based security controllers are employed for group administration *** service providers provide a variety of security *** are just a few software security answers *** the proposed system,a hybrid protocols were used in SDN and it embeds edge system to improve the security in the group ***-based algorithms compared with Group Key Establishment(GKE)and Multivariate public key cryptosystem with Broadcast Encryption in the proposed *** all factors are considered,Broadcast Encryption(BE)appears to become the most logical solution to the *** enables an initiator to send encrypted messages to a large set of recipients in a efficient and productive way,meanwhile assuring that the data can only be decrypted by defining *** proposed method improves the security,efficiency of the system and reduces the power consumption and minimizes the cost.

关键词： Internet of things encryption decryption group key software defined network public key security

Evaluation of hydro-chemistry in a phreatic aquifer in the Vindhyan Region, India, using entropy weighted approach and geochemical modelling

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Acta Geochimica 2023年第4期42卷 648-672页

作者： Ashutosh Mishra Aman Rai prabuddh Kumar Mishra suresh Chand Rai Department of Geography Delhi School of EconomicsUniversity of DelhiDelhi 110027India Department of Geography Shivaji CollegeUniversity of DelhiDelhi 110027India

Groundwater quality monitoring and geochemical characterization in the phreatic aquifer are critical for ensuring universal and equitable access to clean,reliable,and inexpensive drinking water for *** research was intended to investigate the hydrogeochemical attributes and mechanisms regulating the chemistry of groundwater as well as to assess spatial variation in groundwater quality in Satna district,*** accomplish this,the groundwater data comprising 13 physio-chemical parameters from thirty-eight phreatic aquifer locations were analysed for May 2020 by combining entropy-weighted water quality index(EWQI),multivariate statistics,geochemical modelling,and geographical information *** findings revealed that the groundwater is fresh and slightly *** was a significant concern as 57.89% of samples were beyond the permissible limit of the World Health *** dominance of ions were in the order of Ca^(2+)> Na^(+)> Mg^(2+)> K^(+) and HCO_(3)^(-)> SO_(4)^(2-)> Cl^-> NO_(3)^(-)> F^(-).Higher concentration of these ions is mainly concentrated in the northeast and eastern *** correlation analysis and principal component analysis(pCA) demonstrated that both natural and human factors regulate groundwater chemistry in the *** analysis of Q-mode agglomerative hierarchical clustering highlighted three significant water ***-HCO_3 was the most prevalent hydro-chemical facies in all three *** modelling through various conventional plots indicated that groundwater chemistry in the research region is influenced by the dissolution of calcite/dolomite,reverse ion exchange,and by silicate and halite *** data of the study area disclosed that 73.69% of the samples were appropriate for *** to high salinity,Magnesium(Mg^(2+)),Nitrate(NO_(3)^(-)),and Bicarbonate(HCO_(3)^(-)) concentrations,the north-central and north-eastern regions are particularly *** findings of the study m

关键词： Groundwater quality assessment EWQI Multivariate statistical analysis Geochemical modelling Hydrogeochemical processes Saturation index

Advances in Hyperspectral Image Classification Based on Convolutional Neural Networks: A Review

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Computer Modeling in Engineering & Sciences 2022年第11期133卷 219-250页

作者： Somenath Bera Vimal K.Shrivastava suresh Chandra Satapathy School of Computer Science and Engineering Lovely Professional UniversityPhagwara144411India School of Electronics Engineering Kalinga Institute of Industrial Technology(KIIT)Bhubaneswar751024India School of Computer Engineering Kalinga Institute of Industrial Technology(KIIT)Bhubaneswar751024India

Hyperspectral image(HSI)classification has been one of themost important tasks in the remote sensing community over the last few *** to the presence of highly correlated bands and limited training samples in HSI,discriminative feature extraction was challenging for traditional machine learning ***,deep learning based methods have been recognized as powerful feature extraction tool and have drawn a significant amount of attention in HSI *** various deep learning models,convolutional neural networks(CNNs)have shown huge success and offered great potential to yield high performance in HSI *** by this successful performance,this paper presents a systematic review of different CNN architectures for HSI classification and provides some future *** accomplish this,our study has taken a few important ***,we have focused on different CNN architectures,which are able to extract spectral,spatial,and joint spectral-spatial ***,many publications related to CNN based HSI classifications have been reviewed ***,a detailed comparative performance analysis has been presented between four CNN models namely 1D CNN,2D CNN,3D CNN,and feature fusion based CNN(FFCNN).Four benchmark HSI datasets have been used in our experiment for evaluating the ***,we concluded the paper with challenges on CNN based HSI classification and future guidelines that may help the researchers to work on HSI classification using CNN.

关键词： Convolutional neural network deep learning feature fusion hyperspectral image classification review spectralspatial feature

An Intelligent Medical Expert System Using Temporal Fuzzy Rules and Neural Classifier

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Intelligent Automation & Soft Computing 2023年第1期35卷 1053-1067页

作者： praveen Talari A.suresh M.G.Kavitha Vel Tech High Tech Dr.Rangarajan Dr.Sakunthala Engineering College Chennai600062India AMET University Chennai600062India University College of Engineering Pattukkottai600062India

As per World Health Organization report which was released in the year of 2019,Diabetes claimed the lives of approximately 1.5 million individuals globally in 2019 and around 450 million people are affected by diabetes all over the *** it is inferred that diabetes is rampant across the world with the majority of the world population being affected by *** the diabetics,it can be observed that a large number of people had failed to identify their disease in the initial stage itself and hence the disease level moved from Type-1 to *** avoid this situation,we propose a new fuzzy logic based neural classifier for early detection of diabetes.A set of new neuro-fuzzy rules is introduced with time constraints that are applied for thefirst level *** levels are further refined by using the Fuzzy Cognitive Maps(FCM)with time intervals for making thefinal decision over the classification *** main objective of this proposed model is to detect the diabetes level based on the ***,the set of neuro-fuzzy rules are used for selecting the most contributing values over the decision-making process in diabetes *** proposed model proved its efficiency in performance after experiments conducted not only from the repository but also by using the standard diabetic detection models that are available in the market.

关键词： Diabetes type-1 type-2 feature selection classification fuzzy rules fuzzy cognitive maps classifier

Evaluation of thermostable endoglucanase in paenibacillus lautus strain BHU3 for yield enhancement

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Systems Microbiology and Biomanufacturing 2022年第4期2卷 607-622页

作者： Suman Yadav Anand Kumar pandey suresh Kumar Dubey Molecular Ecology Laboratory Centre of Advanced Study in BotanyInstitute of ScienceBanaras Hindu UniversityVaranasi 221005India Department of Biotechnology Engineering Institute of Engineering and TechnologyBundelkhand UniversityJhansi 284128India

In the present study,paenibacillus lautus strain BHU3 isolated from landfill soil was evaluated for the presence of potential endoglucanases which are the first candidate of cellulase enzyme system to act on ***-silico analysis revealed high potential thermostable endoglucanases which can efficiently interact with *** most potent and thermostable endoglucanase(locus tag ***30_18280)belonged to glycosyl family-5 and had interaction energy of−12.981 kcal/mol for the best docked cluster containing three out of ten docking conformations,and Tm value of 73.3℃.MD simulation of 100 ns proved highly stable binding interactions of CpZ30_18280 endoglucanase with cellulose with root mean square deviation(RMSD)values ranging from 0.15 to 0.30 *** interactions with characteristic active site residues(tyrosine,tryptophan and aspartate)of glycosyl family-5 endoglucanases were ***,to enhance the production of endoglucanases,the fermentation conditions were optimized employing approaches like one factor at a time(OFAT)and response surface methodology(RSM).Maximum activity of endoglucanase was determined at 60℃.The optimized condi-tions for enhanced production of endoglucanase(10.15 U/mL)were pH 6.63,yeast extract conc.3.44 g/L,wheat bran 3.59%,and inoculum size 2.65%.Hence,*** strain BHU3 has enormous potential to synthesize highly efficient thermostable endoglucanases under optimized regime using ***,it could find immense industrial applications including large scale cellulose conversion to bioethanol.

关键词： Agrowastes Cellulose RAST Endoglucanase paenibacillus lautus

Efficient Hybrid Energy Optimization Method in Location Aware Unmanned WSN

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Intelligent Automation & Soft Computing 2023年第1期35卷 705-725页

作者： M.suresh Kumar G.A.Sathish Kumar Department of CSE Sri Venkateswara College of EngineeringSriperumbudur602117India Department of ECE Sri Venkateswara College of EngineeringSriperumbudur602117India

The growth of Wireless Sensor Networks(WSNs)has revolutionized thefield of technology and it is used in different application *** edges and other critical locations can be monitored using the navigation sensor *** WSN required low energy consumption to provide a high network and guarantee the ultimate *** main objective of this work is to propose hybrid energy optimization in local aware *** hybrid proposed work consists of clustering,optimization,direct and indirect communication and *** aim of this research work is to provide and framework for reduced energy and trusted communication with the shortest path to reach source to destination in WSN and an extending lifetime of wireless *** proposed Artificial Fish Swarm Optimization algorithm is used for energy optimization in military applications which is simulated using Network Simulator(NS)*** work optimizes the energy level and the same is compared with various genetic algorithms(GA)and also the cluster selection process was compared with thefission-fusion(FF)selection *** results of the proposed work show,improvement in energy optimization,throughput and time delay.

关键词： Wireless sensor networks(WSNs) optimization algorithm routing algorithm military applications

Delineation of sensitive coastal zone of northern Ramanathapuram coast,Tamilnadu,India,using a GIS approach

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Geodesy and Geodynamics 2022年第5期13卷 456-463页

作者： Gurugnanam Balasubramanian Sreechitra suresh Santonu Goswami Bairavi Swaminathan Glitson Francis pereira Centre for Applied Geology The Gandhigram Rural Institute-Deemed to Be UniversityDindigulTamil NaduIndia National Remote Sensing Centre India

This research aims to assess the sensitive coastal zones by analyzing the shoreline changes such as accretion and erosion in the eastern coastal part of Ramanathapuram District,Tamil Nadu,*** study focused on Mandapam,pirappanvalsai,Enmanamcondam,Nagachi,Terbogi,Athyuthu,Chitrakkottai,pathengal,Attangarai,Alagankulam,and Devipattinam *** of these areas are distinguished as highly sensitive ecological *** erosion of an area leads to irreplaceable disturbances to ***,erosion and accretion studies are top priorities when studying the coastal *** addition to GIS technology,which has been widely used in the past 20 years,the End point Rate(EpR)and Linear Regression Rate(LRR)analyses were conducted to better understand the shoreline *** stability of the coastal region was analyzed by observing the slope variations of the beach during the profile *** the study,we analyzed that the Quaternary deposits of sand are the dominant geological feature of the study *** reefs and salt pans are highly distributed along the coastal *** coast of Mandapam village has been detected as a highly sensitive region,with an average erosion rate of-3.1 m/yr and an average accretion rate of 1.22 m/yr,resulting in high erosion and low *** coast is a steep coast with an average slope angle of 0.24°.This study provides insight into sustainable coastal zone management.

关键词： End point rate Linear regression rate Geographic information system Beach profile Ramanathapuram

Recent advancements in the applicability of SnO_(2)-based photo-catalysts for hydrogen production:challenges and solutions

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Waste Disposal and Sustainable Energy 2022年第3期4卷 179-192页

作者： Anjali prasad Jyoti Verma S.suresh S.Arisutha Department of Chemical Engineering Maulana Azad National Institute of TechnologyBhopalMadhya Pradesh462003India ONGC Energy Centre 8th FloorCore-3&4SCOPE MinarLaxmi NagarDelhi110092India Eco-Science and Technology BhopalMadhya Pradesh462003India

The challenges in the current energy consumption patterns and demand–supply gap are driving the need to develop commercially viable and sustainable alternative fuels that are eco-friendly and *** the existing alternatives,hydrogen is regarded as the ultimate carbon-less clean and green fuel with high energy *** efforts are being made to develop catalysts/photo-catalysts for the efficient production of hydrogen from abundantly available water resources via water-splitting *** this review,the photocatalytic activity of tin oxide-based hybrid photocatalytic materials for increased hydrogen production has been *** existing bottlenecks and proposed solutions have also been discussed.

关键词： Tin oxide catalyst Hydrogen production photocatalysis Water splitting

Deep Learning Enabled Social Media Recommendation Based on User Comments

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Computer Systems Science & Engineering 2023年第2期44卷 1691-1702页

作者： K.Saraswathi V.Mohanraj Y.suresh J.Senthilkumar Department of Computer Science and Engineering Government College of EngineeringSalem636011India Department of Information Technology Sona College of TechnologySalem636005India

Nowadays,review systems have been developed with social media Recommendation systems(RS).Although research on RS social media is increas-ing year by year,the comprehensive literature review and classiﬁcation of this RS research is limited and needs to be *** previous method did notﬁnd any user reviews within a time,so it gets poor accuracy and doesn’tﬁlter the irre-levant comments efﬁ*** Recursive Neural Network-based Trust Recom-mender System(RNN-TRS)is proposed to overcome this method’s *** it is efﬁcient to analyse the trust comment and remove the irrelevant sentence ***ﬁrst step is to collect the data based on the transactional reviews of social *** second step is pre-processing using Imbalanced Col-laborative Filtering(ICF)to remove the null values from the *** the features from the pre-processing step using the Maximum Support Grade Scale(MSGS)to extract the maximum number of scaling features in the dataset and grade the weights(length,count,etc.).In the Extracting features for Training and testing method before that in the feature weights evaluating the softmax acti-vation function for calculating the average weights of the ***,In the classiﬁcation method,the Recursive Neural Network-based Trust Recommender System(RNN-TRS)for User reviews based on the positive and negative scores is analysed by the *** simulation results improve the predicting accuracy and reduce time complexity better than previous methods.

关键词： Recommendation systems(RS) social media recursive neural network-based trust recommender system(RNN-TRS) user reviews