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Effect of process parameters on springback behaviour during air bending of electrogalvanised steel sheet

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Journal of Zhejiang University-Science A(Applied Physics & Engineering) 2011年第3期12卷 183-189页

作者： Durairaj VASUDEVAN Rajumani srinivasan Palani PADMANABHAN Department of Mechanical Engineering PSNA College of Engineering and Technology Department of Mechanical Engineering RVS College of Engineering and Technology Bharath Niketan Engineering College

This work aims to study the springback behaviour of electrogalvanised (EG) steel sheets during the air bending *** have been conducted to analyse the influence of various parameters such as coating thickness,orientation of the sheet,punch radius,die radius,die opening,punch velocity,and punch travel on springback *** is established that the springback increases with increasing coating thickness,punch radius,punch travel,die radius,die opening,and punch *** 90° orientation exhibits higher springback than 0° orientation.

关键词： Springback Electrogalvanised (EG) steel Air bending

Application of Taguchi Method for the Optimization of System Parameters of Centrifugal Evaporative Air Cooler

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Journal of Thermal Science 2010年第5期19卷 473-479页

作者： K.Senthilkumar PSS.srinivasan Department of Mechanical Engineering SNS College of Technology Department of Mechanical Engineering Knowledge Institute of TechnologyKaka PalayamSalemTamilnaduINDIA

A new evaporative cooling system based on the action of centrifugal forces is *** systems are suitable for cooling large air volumes in tropical *** of geometrical and operational parameters on system performance are optimized using Taguchi *** is observed that disc speed,air flow rate and water flow rate are found to have major influence on system performance and other parameter,viz.,disc diameter,pin geometry,evaporation chamber length and orientation of pin have less influence.

关键词： Humidifier Evaporative air cooler Centrifugal force Taguchi method

Secured Vehicle Life Cycle Tracking Using Blockchain and Smart Contract

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Computer Systems Science & Engineering 2022年第4期41卷 1-18页

作者： srinivasan Ananthanarayanan Bragadeesh Arumugam Umamakeswari School of Computing SASTRA Deemed UniversityThanjavur613401India

Life Cycle Tracking(LCT)involves continuous monitoring and analy-sis of various activities associated with a *** crucial factor in the LCT is to ensure the validity of gathered data as numerous supply chain phases are involved and the data is assessed by multiple *** and swindling activities can be prevented if the history of the vehicles is made available to the interested *** provides a way of enforcing trustworthiness to the supply chain participants and the data associated with the various actions *** learning techniques when combined decentralized nature of blockchains can be used to develop a robust Vehicle LCT *** the proposed work,Harmonic Optimized Gradient Descent andŁukasiewicz Fuzzy(HOGD-LF)Vehicle Life Cycle Tracking in Cloud Environment is proposed and it involves three ***,the Progressive Harmonic Optimized User Registra-tion and Authentication model is designed for computationally efﬁcient registra-tion and ***,for the authentic user,the Gradient Descent Blockchain-based SVM Data Encryption model is designed with minimum CPU ***,Łukasiewicz Fuzzy Smart Contract Veriﬁcation is per-formed with encrypted data to ensure accurate and precise fraudulent activity *** experimental analysis shows that the proposed method achieves signiﬁcant performance in terms of life cycle’s prediction time,overhead,and accuracy for a different number of users.

关键词： Vehicle life cycle tracking progressive harmonic optimization blockchain gradient descent Łukasiewicz fuzzy smart contract

Transcriptome analysis in the beet webworm, Spoladea recurvalis （Lepidoptera： Crambidae）

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Insect Science 2018年第1期25卷 33-44页

作者： Jian-Cheng Chang srinivasan Ramasamy A VRDC - The World Vegetable Center Shanhua Tainan Taiwan China

The beet webworm, Spoladea recurvalis Fabricius, is a destructive pest on vegetable crops in tropics and subtropics; its main host plant is amaranth. It has become imperative to develop non-chemical methods to control S. recurvalis on amaranth. However, the lack of molecular information about this species has hindered the development of novel pest management strategies. In this study, high-throughput RNA sequencing covering de novo sequence assemblies, functional annotation of transcripts, gene function classification and enrichment was performed on S. recurvalis. Illumina sequencing generated a total of 120 435 transcript contigs ranging from 201 to 22 729 bases with a mean length of 688 bases. The assembled transcripts were subjected to Basic Local Alignment Search Tool- X （BLASTX） to obtain the annotations against non-redundant, Swiss-Prot, Clusters of Orthologous Groups （COG） and Kyoto Encyclopedia of Genes and Genomes （KEGG） protein databases. A subset of 58 225 transcript sequences returned hits from known proteins in the National Center for Biotechnology Information database, and the majority of the transcript sequences had the highest number of hits for Danausplexippus （50.43%）. A total of 1217 Gene Ontology-level 3 annotations were assigned to 51 805 transcripts, while 39 650 transcripts were predicted as functional protein-coding genes in the COG database and 20 037 transcripts were enriched to KEGG pathways. We identified 40 putative genes related to pheromone production and reception in S. recurvalis, with the expression of one gene between 0.29 and 1141.79 fragments per kilo base per million （FPKM） reads. The transcriptome sequence of S. recurvalis is a first step toward offering a comprehensive genomic resource which would enable better understanding of molecular mechanisms to enable development of effective pest management practices for this species.

关键词： pheromone protein-coding genes putative genes Spoladea recurvalis transcriptome

Wear behavior of asbestos-free eco-friendly composites for automobile brake materials

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Friction 2016年第2期4卷 144-152页

作者： Ashok Kumar ILANKO srinivasan VIJAYARAGHAVAN Department of Manufacturing Engineering Annamalai University Annamalai Nagar 608002 India

The goal of this work is to study the wear behavior of materials that have the potential to be used as brake pad materials under different contact loads and speeds instead of asbestos. The three different brake pad materials studied are flax fiber reinforced phenolic composites (FFRC), basalt fiber reinforced phenolic composites (BFRC), and flax/basalt reinforced hybrid phenolic composites (HFRC). A wear mechanism map was developed by using the fuzzy c-means clustering algorithm method (FCM) to study the wear mechanism of composites. The results showed BFRC to be a better brake pad material than the other fiber reinforced composites studied, because the good thermal characteristics and bonding nature of basalt fiber increased the wear resistance of BFRC considerably.

关键词： wear resistance non-asbestos brake frictional materials eco-friendly composites wear mechanism maps coefficient of friction wear

Enhancement of Natural Circulation Type Domestic Solar Hot Water System Performance by using a Wind Turbine

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Journal of Thermal Science 2011年第4期20卷 371-376页

作者： K.K.Ramasamy PSS.srinivasan Department of Mechanical Engineering Paavai Engineering CollegeNamakkal-637018TNIndia Department of Mechanical Engineering Knowledge Institute of TechnologySalem-637504TNIndia

Performance improvement of existing 200 litres capacity natural convection type domestic solar hot water system is attempted.A two-stage centrifugal pump driven by a vertical axis windmill having Savonius type rotor is added to the fluid *** windmill driven pump circulates the water through the *** system with necessary instrumentation is tested over a *** on Natural Circulation System(NCS)mode and Wind Assisted System(WAS)mode are carried out during January,April,July and October,*** results of a clear day are *** average efficiency of 25-28% during NCS mode and 33-37% during WAS mode are *** higher wind velocities,higher collector flow rates and hence higher efficiencies are *** general,WAS mode provides improvements in efficiency when compared to NCS mode.

关键词： Solar hot water system efficiency improvement windmill driven pump

Uniform Convergence Analysis of Finite Difference Scheme for Singularly Perturbed Delay Differential Equation on an Adaptively Generated Grid

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Numerical Mathematics(Theory,Methods and Applications) 2010年第1期3卷 1-22页

作者： Jugal Mohapatra srinivasan Natesan Department of Mathematics Indian Institute of Technology GuwahatiGuwahati-781 039India

Adaptive grid methods are established as valuable computational technique in approximating effectively the solutions of problems with boundary or interior layers. In this paper,we present the analysis of an upwind scheme for singularly perturbed differential-difference equation on a grid which is formed by equidistributing arc-length monitor *** is shown that the discrete solution obtained converges uniformly with respect to the perturbation *** experiments illustrate in practice the result of convergence proved theoretically.

关键词： Singular perturbation problems delay differential equations boundary layer upwind scheme adaptive mesh uniform convergence.

Physical Safety and Cyber Security Analysis of Multi-Agent Systems:A Survey of Recent Advances

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IEEE/CAA Journal of Automatica Sinica 2021年第2期8卷 319-333页

作者： Dan Zhang Gang Feng Yang Shi Dipti srinivasan the Research Center of Automation and Artificial Intelligence Zhejiang University of TechnologyHangzhou310023 Key Laboratory of Advanced Control and Optimization for Chemical Processes(East China University of Science and Technology) Ministry of EducationShanghai 200237China the Department of Biomedical Engineering City University of Hong KongHong KongChina the Department of Mechanical Engineering University of VictoriaCanada the Department of Electrical and Computer Engineering National University of SingaporeSingapore

Multi-agent systems(MASs)are typically composed of multiple smart entities with independent sensing,communication,computing,and decision-making ***,MASs have a wide range of applications in smart grids,smart manufacturing,sensor networks,and intelligent transportation *** of the MASs are often coordinated through information interaction among agents,which is one of the most important factors affecting coordination and cooperation ***,unexpected physical faults and cyber attacks on a single agent may spread to other agents via information interaction very quickly,and thus could lead to severe degradation of the whole system performance and even destruction of *** paper is concerned with the safety/security analysis and synthesis of MASs arising from physical faults and cyber attacks,and our goal is to present a comprehensive survey on recent results on fault estimation,detection,diagnosis and fault-tolerant control of MASs,and cyber attack detection and secure control of MASs subject to two typical cyber ***,the paper concludes with some potential future research topics on the security issues of MASs.

关键词： Consensus deception attack deny-of-service(DoS)attack fault detection fault estimation fault tolerant control multiagent systems

Feature Extraction and Classification of Plant Leaf Diseases Using Deep Learning Techniques

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Computers, Materials & Continua 2022年第10期73卷 233-247页

作者： K.Anitha S.srinivasan Department of Electronics and Communication Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityThandalamChennai602105India Instituteof Bio-Medical Engineering Saveetha School of EngineeringSaveetha Institute of Medical and Technical Sciences(SIMATS)Saveetha UniversityThandalamChennai602105India

In India’s economy, agriculture has been the most significantcontributor. Despite the fact that agriculture’s contribution is decreasing asthe world’s population grows, it continues to be the most important sourceof employment with a little margin of difference. As a result, there is apressing need to pick up the pace in order to achieve competitive, productive,diverse, and long-term agriculture. Plant disease misinterpretations can resultin the incorrect application of pesticides, causing crop harm. As a result,early detection of infections is critical as well as cost-effective for *** diagnose the disease at an earlier stage, appropriate segmentation of thediseased component from the leaf in an accurate manner is critical. However,due to the existence of noise in the digitally captured image, as well asvariations in backdrop, shape, and brightness in sick photographs, effectiverecognition has become a difficult task. Leaf smut, Bacterial blight andBrown spot diseases are segmented and classified using diseased Apple (20),Cercospora (60), Rice (100), Grape (140), and wheat (180) leaf photos in thesuggested work. In addition, a superior segmentation technique for the ROIfrom sick leaves with living backdrop is presented here. Textural features of thesegmented ROI, such as 1st and 2nd order WPCA Features, are discoveredafter segmentation. This comprises 1st order textural features like kurtosis,skewness, mean and variance as well as 2nd procedure textural features likesmoothness, energy, correlation, homogeneity, contrast, and entropy. Finally,the segmented region of interest’s textural features is fed into four differentclassifiers, with the Enhanced Deep Convolutional Neural Network provingto be the most precise, with a 96.1% accuracy.

关键词： Convolutional neural network wavelet based pca features leaf disease detection agriculture disease remedies bat algorithm