简介:Inthispaper,thefollowingproblemsarediscussed:themountingconditionsofthreeprobes,thetransmissioncharacteristicsofmeasuringsystem,theeliminationofmountingeccentricity,andsoforth.Themeasuresforsolvingtheseproblemsarealsopres-ented.Atlast,theauthorgivessomeideasaboutthesolubilityandthecorrelationsoftheoutputequations.
简介:Thispaperevaluatestheutilizationoffreeradicalchemiluminescenceimagingandtomographicreconstructiontechniquestoassessadvancedinformationonreactingflows.Twodifferentlaboratoryflowconfigurationswereanalyzed,includingunvonfinednon-premizedjetflamemeasurementstoevaluateflamefuel/airmixingpatternsattheburner-portofatypicalglass-furnaceburner.Thesecondcasecharacterizedthereactionzoneofpremixedflameswithingasturbinecombustionchambers,basedonalaboratoryscalemodelofaleanprevaporizedpremixed(LPP)combustionchamber.Theanalysisshowsthatadvancedimagingdiagnosiscanprovidenewinformationonthecharacterizationofflamemixingandreactingphenomena.TheutilizationoflocalC2andCHchemiluminescencecanassessusefulinformationonthequalityofthecombustionprocess,whichcanbeusedtoimprovethedesignofpracticalcombustors.
简介:TheCarboniferousandPre-CarboniferousformationsinLudong,Zhungarbasin,containfavorableoil/gasreservoirs.TheCarboniferousformations,however,arecomplexinstructureandexhibitlateralvariationsinlithology.SeismicreflectionsfromPre-Triassicformationsarepoorandthevolcanicreservoirsareverydifficulttoidentify.Theanalysisofphysicalpropertiesconcludedthatthemajortargetsinthisregion,i.e.,thetopoftheJurassicandCarboniferousformations,providedistinctdensityinterfaces.Thebasic,intermediateandacidvolcanicrockswerealsodifferentindensity,resultingindistinguishablegravityanomalies.Thedifferencesinmagnetisminthisregionexistednotonlybetweenthevolcanicrocksandclasticsedimentaryrocksbutalsoamongvolcanicrockswithdifferentcompositions.Allformationsandvolcanicrocksofdifferentlithologiespresentedhighandlowresistanceinterbeds,whicharecharacterizedbyregionaltrends.Themodelingstudydemonstratedthatnon-seismicintegratedgeophysicaltechniquesshouldbefeasibleinthisregion,especiaUythehigh-precisiongravity/magneticmethodscombinedwithlongoffsettransientelectromagneticsounding.
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简介:艾丽斯识别享受普遍性,唯一的高度和中等用户合作。这在新兴的安全与认证机制使虹识别系统不可避免。一个虹识别系统基于向量量子化(VQ),技术被建议,它的表演与分离余弦变换(DCT)相比。建议系统不需要虹的任何预处理和分割。我们测试了林德布佐·格雷(LBG),Kekre的相称的错误(KPE)算法和Kekre是为聚类的目的快电报密码本产生(KFCG)算法。基于的方法使用KFCG要求的建议向量量子化99.99%更少的计算作为完整的2-dimensionalDCT的。进一步,KFCG方法与89.10%的精确性给更好的性能超过在66.10%附近给精确性的DCT。
简介:Anincreasingnumberofannealingfurnaceshaverecentlybeenusingcheaperandcleanernaturalgas(NG)insteadofliquefiedpetroleumgas(LPG)asfuelgas.However,thefuelgasofthefurnacesoftenneedstobechangedwhenNGsupplyisnotadequateorwhenLPGbecomescheaper.Usually,changingthefuelgasinvolveschangingvariousequipmentaswellascontrolparametersforinstrumentsandthecontrolsystemandhenceistimeconsuming.Therefore,itisimportanttodevelopaquickprocessforchangingfuelgas.Thisstudydiscussesthetechniquesforquicklychangingfuelgasinanannealingfurnace.Thesetechniquesdealwiththedesignofthepipe,valveandburner,theselectionoftheflowmeterandtheflowcontrolvalve,theswitchofthesoftwareandparametersforthecontrolsystem,aswellastheoperation,commissioningandhottestofthefurnacewhenthefuelgasischanged.Usingthesetechniques,itispossibletochangefuelgasin6h.
简介:ByPRAsurveyto1245farmerhouseholdsof10keyMosobamboo(Phyllostachyspubescens)productioncounties,thesourceanddemandofthemanagementtechniquesinZhejiangwerestudied.Theconductedprincipalfactoranalysisrevealedthatexperienceandtraditionalknowledgearecurrentlymajortechnicalsourcesoffarmerhouseholds'Mosobambooforestmanagementtechniquesandthatthedemonstrativehouseholdisahighlyexpectedtechnicalsource,inwhichtheprimefactorisinterpersonaldissemination...
简介:Thesonarsystemswhichworkinshallowwaterenvironmentsuffergreatlyfrominfluencesofoceanicnoises,acousticpropagationseesawandmultipath.Withshallowwaterenvironmentandhigherrange-bearingresolutionofsonarsystems,therearenotenoughindependentscattererswithinaresolutioncellforthecentrallimittheoremtohold.Thereverberationenvelopeprobabilitydensityfunction(pdf)divergesfromRayleighpdf.Thenon-Rayleighpdfwithheaviertailsiscomplicated,anditisdifficulttoestimatethefunctionparametersaccuratelyinrealtime.WithCFAR(ConstantFalseAlarmRate)processingofthereverberationenvelopedata,whichattenuatestheheaviertailsdatavaluestotheestimatedbackgroundpowervalues,thedatareverberationistransformedfromnon-RayleighdistributiontoapproximatelyRayleighdistribution.Sinceitgetsridoftheinterferenceswhichaffecttheestimationofbackgroundpower,thedetectorcanestimatetheoceanicbackgroundpowerlevelmoreaccurately.Withtherationalestimationofbackgroundpowerlevel,theCFARdetectioncapabilityisbetterandrobust.Withprocessingofhighresolutionsonardata,itisshownthattheproposedalgorithmisefficient.
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简介:这篇评论文章在基于分子的流动的一个新组的发展报导最近的进步诊断技术,包括分子的标注velocimetry(音乐电视)和分子的标注计温(MTT),为热地导致的流动结构的两质的流动可视化和流动速度和温度分布的量的整个地的大小。音乐电视和MTT技术能容易也被联合导致所谓的分子的标注velocimetry和计温(MTV&T)技术,它是在液体流动完成流动速度和温度分发的同时的大小的capble。而不是使用微小的粒子,分子的标注技术(音乐电视,MTT,和MTV&T)使用发磷光的分子,它能被适当波长的光子在刺激之上变成长持续的发光标记,作为为流动速度和温度大小的tracers。分子的标注技术的唯一的吸引力和实现被三个申请例子表明,它包括:(1)确定从激烈的柱体的不稳定的热转移过程到包围液体流动以便在在混合并且强迫的热传送对流政体操作的激烈的柱体后面在wake不稳定性上检验热效果,(2)处理揭示变化的不稳定的热转移和阶段的时间进化在内微尺寸,糖衣水微滴以便阐明对飞机糖衣现象恰当的内在的物理,并且(3)完成同时的微滴尺寸,v
简介:Guggal,对西方的印度地方性的威胁的种,被拍提取当做药重要oleo-gum-resin(guggul)。然而,植物在口香糖渗出以后死。本地人使用的土生土长的拍技术在Gujarat被检验,在这些技术后面发现科学基础的印度:口香糖inducer,拍的季节,和植物的选择分开被拍。首先,Xanthomonasaxonopodispv的存在。在使用拍的口香糖暂停的commiphorae(Xac)被建立。这个细菌导致从拍的植物流着的口香糖并且以后,引起他们开死。在口香糖的Xac的人口被发现与口香糖的年龄减少。与那,新鲜口香糖增加了拍的成功。第二,本地人比较喜欢在温暖的季节期间拍,吗我们由决定Xac生长在30略潤潭慮?楤業畮慴?是最好的验证了哪个?桓杩汥慬????????????????????????楦浲獵??‰???堠湡桴浯湯獡??
简介:在第二等的自河的推迟的固体的集中经常广泛地变化,导致满足消毒标准的紫外剂量的经常的调整。Inaddition,需要的消毒率是困难的有时完成。作者学习了颗粒分布,联系粒子的烘便的大肠菌(F.C)的贡献,和他们对紫外消毒的影响。一个联合消毒过程(有随后的UVdisinfection的氯化)被测试改进消毒效果。结果显示推迟的固体的内容,特别大粒子,在紫外消毒效率上有强壮的影响;D>10个μm粒子联系了F.C。是困难的被消毒并且是在激活曲线的F.C的跟踪的主要部分。氯化前能减少在第二等的自河和变换的粒子的数字大粒子进小的,在紫外消毒上减少粒子的影响并且提高联合过程的抵抗能力到粒子装载。
简介:AbstractIn the past decades, there have been numerous advancements in the field of technology. This has led to many scientific breakthroughs in the field of medical sciences. In this, rapidly transforming world we are having a difficult time and the problem of fatigue is becoming prevalent. So, this study aimed to understand what is fatigue, its repercussions, and techniques to detect it using machine learning (ML) approaches. This paper introduces, discusses methods and recent advancements in the field of fatigue detection. Further, we categorized the methods that can be used to detect fatigue into four diverse groups, that is, mathematical models, rule-based implementation, ML, and deep learning. This study presents, compares, and contrasts various algorithms to find the most promising approach that can be used for the detection of fatigue. Finally, the paper discusses the possible areas for improvement.