检索结果-南通市图书馆

A Hybrid Approach for Plant Disease Detection Using E-GAN and CapsNet

在线全文

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第7期46卷 337-356页

作者： N.vasudevan t.Karthick Department of Data Science and Business Systems School of ComputingSRM Institute of Science and TechnologyKattankulathurTamilnadu603203India

Crop protection is a great obstacle to food safety,with crop diseases being one of the most serious *** diseases diminish the quality of crop *** detect disease spots on grape leaves,deep learning technology might be *** the other hand,the precision and efficiency of identification remain *** quantity of images of ill leaves taken from plants is often *** an uneven collection and few images,spotting disease is *** plant leaves dataset needs to be expanded to detect illness accurately.A novel hybrid technique employing segmentation,augmentation,and a capsule neural network(CapsNet)is used in this paper to tackle these *** proposed method involves three ***,a graph-based technique extracts leaf area from a plant *** second step expands the dataset using an Efficient Generative Adversarial Network ***,a CapsNet identifies the illness and *** proposed work has experimented on real-time grape leaf images which are captured using an SD1000 camera and PlantVillage grape leaf *** proposed method achieves an effective classification of accuracy for disease type and disease stages detection compared to other existing models.

关键词： Feature extraction neural network disease segmentation pattern analysis

Design and Development of an Intelligent Energy Management System for a Smart Grid to Enhance the Power Quality

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Energy Engineering 2023年第8期120卷 1747-1761页

作者： Nisha vasudevan vasudevan Venkatraman A.Ramkumar t.Muthukumar A.Sheela M.Vetrivel R.J.Vijaya Saraswathi F.t.Josh Department of Electrical and Electronics Engineering Kalasalingam Academy of Research and EducationTamil NaduIndia Department of Computer Science Engineering Kalasalingam Academy of Research and EducationTamil NaduIndia Department of Electrical and Electronics Engineering Kongunadu College of Engineering and TechnologyTamil NaduIndia Department of Electrical and Electronics Engineering Kongu Engineering CollegeTamil NaduIndia Department of Electrical and Electronics Engineering Narasu’s Sarathy Institute of TechnologyTamil NaduIndia Department of Electrical and Electronics Engineering Panimalar Engineering CollegeTamil NaduIndia Department of Electrical and Electronics Engineering Karunya Institute of Technology&SciencesTamil NaduIndia

MigroGrid(MG)has emerged to resolve the growing demand for *** because of its inconsistent output,it can result in various power quality(PQ)*** is a problem that is becoming more and more important for the reliability of power systems that use renewable energy ***,the employment of nonlinear loads will introduce harmonics into the system and,as a result,cause distortions in the current and voltage waveforms as well as low power quality issues in the supply ***,this research focuses on power quality enhancement in the MG using hybrid shunt ***,the performance of the filter mainly depends upon the design,and stability of the *** efficiency of the proposed filter is enhanced by incorporating an enhanced adaptive fuzzy neural network(AFNN)*** performance of the proposed topology is examined in a MAtLAB/Simulink environment,and experimental findings are provided to validate the effectiveness of this ***,the results of the proposed controller are compared with Adaptive Fuzzy Back-Stepping(AFBS)and Adaptive Fuzzy Sliding(AFS)to prove its superiority over power quality improvement in *** the analysis,it can be observed that the proposed system reduces the total harmonic distortion by about 1.8%,which is less than the acceptable limit standard.

关键词： Artificial intelligence resistive inductive load shunt hybrid filter smart grid adaptive fuzzy back-stepping power factor

Numerical simulation and experimental validation of arc welding of DMR-249A steel

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Defence technology（防务技术） 2016年第4期12卷 305-315页

作者： Rishi PAMNANI M. vasudevan t. JAYAKUMAR R VASANtHARAJA K.C. GANESH Prototype training Centre Kalpakkam Tamil Nadu 603 127 India IGCAR Tamil Nadu 603 102 India Metallurgical and Materials Engg Dept NIT Warangal 506 004 India Dept of Mech Engg NITT Tiruchirappalli 620 015 India

the thermo-mechanical attributes of DMR-249 A steel weld joints manufactured by shielded metal arc welding(SMAW) and activated gas tungsten arc welding(A-GtAW) processes were studied using Finite Element Model(FEM) simulation. the thermal gradients and residual stresses were analyzed with SYSWELD software using double ellipsoidal heat source distribution model. the numerically estimated temperature distribution was validated with online temperature measurements using thermocouples. the predicted residual stresses profile across the weld joints was compared with the values experimentally measured using non-destructive techniques. the measured and predicted thermal cycles and residual stress profile was observed to be comparable. the residual stress developed in double sided A-GtAW joint were marginally higher in comparison to five pass SMAW joint due to phase transformation associated with high heat input per weld pass for A-GtAW process. the present investigations suggest the applicability of numerical modeling as an effective approach for predicting the thermo-mechanical properties influenced by welding techniques for DMR-249 A steel weld joints. the tensile, impact and micro-hardness tests were carried to compare the *** benefits of high productivity and savings of labor and cost associated with A-GtAW compared to SMAW process, the minor variation in residual stress build up of A-GtAW joint can be neglected to develop A-GtAW as qualified alternative welding technique for DMR-249 A steel.? 2016 China Ordnance Society. Production and hosting by Elsevier B.V. All rights reserved.

关键词： DMR-249A A-GtAW SMAW FEM SYSWELD thermo-mechanical Simulation

Effect of Intracellular Uptake of Nanoparticle-encapsulated trehalose on the Hemocompatibility of Allogeneic Valves in the VS83 Vitrification Protocol

在线全文

学校读者我要写书评

暂无评论

Effect of Intracellular Uptake of Nanoparticle-encapsulated ...

作者： Balamurugan vasudevan 青岛大学

学位级别：硕士

Research Background:the use of human biological valves referred to as allograft heart valves（AHV）is shown to have numerous improvements above conventional xenografts,significantly concerning hemodynamic reaction and *** allogeneic heart valves preservation necessitates meticulous attention to ensure that the cell integrity is preserved prior to clinical ***,vitrification protocols were reported to preserve the matrix integrity of allograft valves and concomitantly result in low tissue *** has been shown to be involved in retaining cell viability after thawing in IFC *** researches showed that nanoparticle encapsulated trehalose resulted in cryopreservation of mammalian cells with high viability and unblemished *** practice,they are using a nanoparticle to encapsulate trehalose and using it in the VS83 protocol results in minor ice *** of cryopreserved heart valve has been a hurdle demanding the recipient to live on anticoagulants for their entire *** and inflammation significantly hinder the valve grafting due to *** these issues can be sorted out by tissue engineering which will take a long time to achieve ***’s effect on hemocompatibility must be evaluated because it has been shown to be excellent at maintaining cell ***:this study aims to see whether trehalose affects the allogeneic valves hemocompatibility in the VS83 procedure,precisely if the disaccharide will induce an immune reaction and decreases immune response after *** addition,the research seeks to assess if nanoparticle-encapsulated trehalose increases cell viability in IFC cardiovascular preservation techniques and maintains the extracellular matrix *** primary theory is that trehalose increases cell viability by vitrifying allogeneic heart valves and safeguards ECM *** second theory states that the absorption of t

关键词： Ice-FreeCryopreservation Homograftvalve Apatite trehalose Nanoparticle Immunogenicity VS83

Causal analysis of competing atomistic mechanisms in ferroelectric materials from high-resolution scanning transmission electron microscopy data

同方学位论文库评论

在线全文

同方学位论文库

学校读者我要写书评

暂无评论

npj Computational Materials 2020年第1期6卷 570-578页

作者： Maxim Ziatdinov Christopher t.Nelson Xiaohang Zhang Rama K.vasudevan Eugene Eliseev Anna N.Morozovska Ichiro takeuchi Sergei V.Kalinin the Center for Nanophase Materials Sciences Oak Ridge National LaboratoryOak RidgeTN 37831USA Computational Sciences and Engineering Division Oak Ridge National LaboratoryOak RidgeTN 37831USA Department of Materials Science and Engineering University of MarylandCollege ParkMD 20742USA Institute for Problems of Materials Science National Academy of Sciences of UkraineKrjijanovskogo 3Kyiv 03142Ukraine Institute of Physics National Academy of Sciences of Ukraine46pr.NaukyKyiv 03028Ukraine

Machine learning has emerged as a powerful tool for the analysis of mesoscopic and atomically resolved images and spectroscopy in electron and scanning probe microscopy,with the applications ranging from feature extraction to information compression and elucidation of relevant order parameters to inversion of imaging data to reconstruct structural ***,the fundamental limitation of machine learning methods is their correlative nature,leading to extreme susceptibility to confounding ***,we implement the workflow for causal analysis of structural scanning transmission electron microscopy(StEM)data and explore the interplay between physical and chemical effects in a ferroelectric perovskite across the ferroelectric–antiferroelectric phase transitions.

关键词： ferroelectric analysis founding

印度南部2型糖尿病患者糖尿病视网膜病变相关危险因素的研究（英文）

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

国际眼科杂志 2017年第9期17卷 1615-1619页

作者： Senthilvel vasudevan Sumathi Senthilvel Jayanthi Sureshbabu 甘露医学科学研究院生物统计系印度喀拉拉邦682041 甘露护理学院基础护理与助产系印度喀拉拉邦682041 印度医学科学研究所印度本地治里605004

目的:探究2型糖尿病患者糖尿病视网膜病变(DR)的严重度及受试者中糖尿病视网膜病变严重程度与其病程、糖化血红蛋白水平、高血压史、年龄和性别的相关性。方法:横断面研究。2012-05/06,采取简单随机抽样方法进行结构化问卷调查,收集100... 详细信息

目的:探究2型糖尿病患者糖尿病视网膜病变(DR)的严重度及受试者中糖尿病视网膜病变严重程度与其病程、糖化血红蛋白水平、高血压史、年龄和性别的相关性。方法:横断面研究。2012-05/06,采取简单随机抽样方法进行结构化问卷调查,收集100例年龄≥35岁糖尿病视网膜病变患者。进行描述性统计、单变量和多变量有序逻辑回归分析。用excel表进行数据录入,并用SPSS 21.0进行数据分析(P<0.05)。结果:100例患者,平均年龄53.16±10.81(35~78)岁。通过单因素分析发现,糖尿病视网膜病变严重度与年龄(P<0.01),糖尿病病程(P<0.001),糖化血红蛋白水平(P<0.001),糖尿病家族史(P<0.01),高血压病史(P<0.05),均呈正相关,高密度脂蛋白(HDL)及年龄与DR严重程度无相关性。除年龄因素外,上述所有因素均为影响糖尿病视网膜病变严重度的独立风险因素。结论:研究表明,糖尿病病程、糖化血红蛋白水平、糖尿病家族史、高血压病史以及性别与糖尿病视网膜病变严重程度密切相关。但多因素分析中,年龄、HDL因素与DR严重程度无关。因此,利用现有治疗手段的有效性和及时控制,可以预防和消除视力威胁性疾病,延缓DR的发生。

关键词：糖尿病视网膜病变风险因素糖尿病视网膜病变严重度多变量分析

在以EDtA和柠檬酸为配位剂的酸性硫代硫酸盐–亚硫酸盐镀液中电沉积金(英文)

在线全文

学校读者我要写书评

暂无评论

电镀与涂饰 2007年第8期26卷 1-6页

作者： AMUtHA K SHAKKtHIVEL P vasudevan t Department of Industrial Chemistry Alagappa University

以乙二胺四乙酸或柠檬酸作配位剂,在无氰的硫代硫酸盐–亚硫酸盐体系中研究了金在镀镍铜基底上的电沉积。在温度为60°C,pH为6和电流密度为2A/dm2的条件下,研究了不同配位剂对电流效率、镀速、镀层硬度及镀液分散能力的影响。最佳的镀... 详细信息

以乙二胺四乙酸或柠檬酸作配位剂,在无氰的硫代硫酸盐–亚硫酸盐体系中研究了金在镀镍铜基底上的电沉积。在温度为60°C,pH为6和电流密度为2A/dm2的条件下,研究了不同配位剂对电流效率、镀速、镀层硬度及镀液分散能力的影响。最佳的镀液组成为0.5mol/L硫代硫酸钠–亚硫酸钠＋0.2mol/L乙二胺四乙酸（或0.3mol/L柠檬酸）。该镀液具有良好的分散能力及高达98%的电流效率。采用扫描电镜、原子力显微镜及X射线衍射分析了镀态金镀层的表面形貌和晶体结构。所得的金镀层几乎无孔（孔隙率〈2-4个/cm2）,结合力良好,硬度适中（80-130HV）。

关键词：金电沉积乙二胺四乙酸柠檬酸扫描电子显微镜 X射线衍射硬度

在线全文

学校读者我要写书评

暂无评论

不同成因磷灰石可浮性的研究

武汉工程大学学报 1991年第3期25卷 33-44页

作者：钟康年 t.V.vasudevan P.Somasundaran 武汉化工学院 Columbia

对五种不同成因磷灰石的浮选行为与表面,溶解速度,油酸钙沉淀和油酸盐吸附量等之间的关系作了系统研究。实验表明,磷灰石的溶解速度,油酸钙沉淀量及充分浮选所需油酸钾浓度都与磷灰石的比表面积有关。沉积型磷灰石有较大比表面积,在水... 详细信息

对五种不同成因磷灰石的浮选行为与表面,溶解速度,油酸钙沉淀和油酸盐吸附量等之间的关系作了系统研究。实验表明,磷灰石的溶解速度,油酸钙沉淀量及充分浮选所需油酸钾浓度都与磷灰石的比表面积有关。沉积型磷灰石有较大比表面积,在水溶液中溶下较多量ca^(2+)离子,生成较多油酸钙沉淀,充分浮选时需较高油酸钾浓度。充分浮选时,捕收剂在五种不同磷灰石表面的复盖率看来是相近的,都有油酸钙沉淀生成,这与ca^(2+)离子从磷灰石表面溶下速度及达到一定复盖率时所需的捕收剂浓度有关。

关键词：成因磷灰石可浮性

在线全文

学校读者我要写书评

暂无评论

用反一正一反流程选别佛罗里达白云质磷块岩

武汉工程大学学报 1989年第S1期23卷 47-53页

作者：钟康年 t.V.vasudevan P.SOmasundaran

美国佛罗里达白云质磷块岩经搅拌脱泥后采反一正一反三段浮选流程,可从含P_2o_59.9%,MgO1．9%的擦洗脱泥精矿中排除89%MeO得到含P_2O_(5)0．9%,Mgo0．9%,的高质精矿,回收率70．9%。与Ca、Mg离子不生成沉淀的新型表面活性剂环乙氧基磺酸... 详细信息

美国佛罗里达白云质磷块岩经搅拌脱泥后采反一正一反三段浮选流程,可从含P_2o_59.9%,MgO1．9%的擦洗脱泥精矿中排除89%MeO得到含P_2O_(5)0．9%,Mgo0．9%,的高质精矿,回收率70．9%。与Ca、Mg离子不生成沉淀的新型表面活性剂环乙氧基磺酸盐(EO．S. )与油酸和矿物油用作捕收剂,磷酸衍生物(Dequest2010)用怍磷矿物抑制剂,在PH=5．5介质中反浮选排除白云石。第一段反浮选可排除59%MgO．主要是细粒白云石,第三段反浮选进一步排除19%MgO,主要为粗粒白云石。第二段正浮选在中性介质中排除98%石英和11%白云石。本流程的优点是矿浆不需加温,反浮选矿浆PH值较高,药剂制度简单,药耗较低,可得优质精矿。

关键词：选别反浮选白云质浮选流程药剂制度脱泥捕收剂新型表面活性剂正浮选磷块岩