简介：Severalbisabolanesesquiterpenes,(±)-curcumene,(±)-curcuphenol,(±)-curcudioland(±)-curcuhydroquinone,havebeensynthesizedinracemicformandfullycharacterized.ThesalientcharacteristicofourapproachisthataJohnson-Claisenarrangementwasinvolvedasakeystep.

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简介：BasedonarelativisticquarkmodelapproachwithaneffectivepotentialU(r)=(ac/2)(1+γ0)r2,thespincontentofthenucleonisinvestigated.Pseudo-scalarinteractionbetweenquarksandGoldstonebosonsisemployedtocalculatethecouplingsbetweentheGoldstonebosonsandthenucleon.Differentapproachestodealwiththecenterofmasscorrectionintherelativisticquarkpotentialmodelapproacharediscussed.

简介：Anewalgorithmofnonuniformitycorrectionforinfraredfocalplanearray(IRFPA)isreported,whichisacombinedalgorithmbasedonboththetwo-pointcorrectionandartificialneuralnetworkscorrection.Thecombinedalgorithmiscalibratedbytwo-pointcorrection,andthecalibratedcorrectioncoefficientsareautomaticallymodifiedbyBPalgorithm.Soitisnotonlycalibrated,butalsoreal-timeprocessed.Inadaptivenonuniformitycorrectionalgorithm,thephenomenaghostartifactandtargetfade-outareavoidedbyedgeextraction.Inordertogetintensifiedimage,themodifiedmedianfiltersareadopted.Thesimulateddataindicatestheproposedschemeisaneffectivealgorithm.

简介：在这份报纸，我们使用了SVM方法检测P300信号。在为SVM训练一个分类参数前，几预处理操作包括过滤被用于数据，downsampling，单个试用抽取，windsorizing，电极选择等。与SVM算法，分类精确性能直到上面80%。在一些情况中，精确性能到达100%。在基于P300的大脑计算机接口(BCI)为P300EEG识别使用SVM是合适的系统。我们的进一步的工作将包括改进用更少试用产出更高的分类精确性。

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简介：介绍进散开张肌图象(DTI)的Rician噪音能在追踪的张肌计算和纤维以后带严肃的影响。减少Rician噪音的效果，我们建议认为基于小浪的散开方法降噪多信道的打的散开加权(DW)图象。当保存质地和边时，介绍变光滑的策略，在小浪领域利用各向异性的非线性的散开，成功地移开噪音。为了评估份量上，在为介绍进DW图象，peak-to-peaksignal-to-noise比率(PSNR)和signal-to-mean的Rician噪音的财务的介绍方法的效率摆平错误比率(SMSE)度量标准被采用。基于合成、真实的数据，我们计算了明显的散开系数(模数转换器)并且追踪了纤维。我们做了在介绍模型，波浪收缩和调整非线性的散开变光滑方法之间的比较。所有实验结果证明份量上并且视觉上介绍过滤器的更好的表演。

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简介：一条新奇测试途径为在可编程的门数组(FPGA)是的地里互连资源(红外)proposed.In测试途径，在FPGA的红外的SB(开关框)被利用了测试IRs.Furthermore，在FPGA的可配置的逻辑块(CLB)也被采用了提高开车能力和差错红外的位置能被监视红外决定联系SBs.As结果，红外能与最小的配置patterns.In最大地被扫描实验，内部地发达的FPGA测试

简介：在这篇论文，我们调查决定制造者给的决定信息拿间隔的形式的组决策问题模糊偏爱关系。我们首先给一个索引测量二间隔的类似度模糊偏爱关系，并且利用类似索引检查组意见的一致性度。而且，我们使用错误繁殖原则决定聚集的矩阵的优先级向量，然后开发一条途径基于间隔组织决策模糊偏爱关系。最后，我们给一个例子说明发达途径。

简介：Toimprovetheperformanceoftransmissionbyreducingthenumberoftransmissionandnetworkoverheadofwirelesssingle-hopnetworks,thispaperpresentsahighefficientmultipacketdecodingapproachfornetworkcoding(EMDNC)inwirelessnetworksaccordingtotheideaofencodingpacketswhichcannotbedecodedandarestoredinbufferbyreceivingnodes,thelostpacketscanberecoveredfromtheseencodedpackets.Comparedwiththenetworkcodingwirelessbroadcastingretransmission(NCWBR),EMDNCcanimprovetheefficiencyofdecodingandreducethenumberofretransmissionandtransmissiondelay.SimulationresultsrevealthatEMDNCcaneffectivelyreducethenumberofretransmissionandnetworkoverhead.

简介：语篇语言学与翻译研究,进而讨论翻译研究的语篇语言学方法以及语篇翻译研究的范围、研究重点以及研究方法,即翻译研究的语篇语言学方法

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简介：与关于遥感图象的分类质量的研究的开发，研究人员们认为不确定性是影响分类质量的主要因素。这研究提出一条途径到不确定性表示，它从二个方面被开发：形式化的描述和全面评估。首先，我们用模糊监视途径完成分类，作为对分类不确定性的形式化的描述拿它。然后，我们为分类不确定性评估介绍一个混合的熵模型，它能满足几不确定性的全面思考的要求，当与对每个象素的错误率的不同贡献的完整的考虑从象素规模构造评估索引时。最后，一个应用程序例子将被学习检验新方法。结果证明评估结果充分反映分类质量，当与常规评估相比从单一的不确定性和范畴构造模型的方法可伸缩时。

简介：Algorithmsusedindataminingandbioinformaticshavetodealwithhugeamountofdataefficiently.Inmanyapplications,thedataaresupposedtohaveexplicitorimplicitstructures.Todevelopefficientalgorithmsforsuchdata,wehavetoproposepossiblestructuremodelsandtestifthemodelsarefeasible.Hence,itisimportanttomakeacompactmodelforstructureddata,andenumerateallinstancesefficiently.Therearefewgraphclassesbesidestreesthatcanbeusedforamodel.Inthispaper,weinvestigatedistance-hereditarygraphs.Thisclassofgraphsconsistsofisometricgraphsandhencecontainstreesandcographs.First,acanonicalandcompacttreerepresentationoftheclassisproposed.Thetreerepresentationcanbeconstructedinlineartimebyusingprefixtrees.Usually,prefixtreesareusedtomaintainasetofstrings.Inouralgorithm,theprefixtreesareusedtomaintaintheneighborhoodofvertices,whichisanewapproachunlikethelexicographicallybreadth-firstsearchusedinotherstudies.Basedonthecanonicaltreerepresentation,efficientalgorithmsforthedistance-hereditarygraphsareproposed,includinglineartimealgorithmsforgraphrecognitionandgraphisomorphismandanefficientenumerationalgorithm.Anefficientcodingforthetreerepresentationisalsopresented;itrequires[3.59n]bitsforadistance-hereditarygraphofnverticesand3nbitsforacograph.Theresultsofcodingimprovepreviouslyknownupperbounds(bothare2~(O(nlogn)))ofthenumberofdistance-hereditarygraphsandcographsto2~([3.59n])and2~(3n),respectively.

简介：平淡的波浪重叠途径不能在一块协调的声学的地的重建和预言被使用，因为分开单个来源产生的压力是不可能的。根据协调的声学的地的重叠理论，一个新奇方法基于联合波浪重叠途径被开发重建并且由造匹配在全息图表面和来源之间的矩阵的联合压力预言协调的声学的地。方法能重建个人的表面的声学的信息采购原料，并且预言也从每来源和全部的协调的声学的地罐头散发的声学的地自发地被计算是可能的。试验性、数字的模拟结果证明这个方法能有效地解决holographic重建和协调的声学的地的预言，它能也被用作一种协调的声学的地分离技术。这个新奇方法上的学习扩大声学的雷射摄影术技术的应用程序范围。

简介：Inthispapertheprocessofknowledgeaccumulationforaparticulartechnologyisstudied.Twocountries,saythetechnologyfollowerandthetechnologyfrontier,areconsidered.Thefrontier’sknowledgegrowthisdeterminedbyitsR&Deffortsonthetechnology.ThelevelofknowledgestockforthefollowercountryisaugmentedbyitsR&Dactivitiesforthetechnologyandabsorbingsomeoftheexternalknowledgethroughspilloverfromthefrontier.Theextenttowhichthefollowerisabletoexploittheexternalknowledgedependsontechnologicalgap,absorptivecapacity,absorptiontimeanddegreeofspillover.Newconceptssuchasnaturalandenhanceddegreeofspillover,backgroundandinnovativeknowledgeandabsorptionspeedareintroducedinthepresentworktodeeplyexploretheprocessofknowledgespillover.ThefactorsinfluencingtheknowledgedevelopmentinthelongtermaresimultaneouslystudiedinanintegratedstructureprovidedbytheSystemDynamicsapproach.Thisframeworkshowstheresponsestothechangesandprovidesthebasisforexaminingtheinteractionsamongthevariablesovertime.

简介：Calibratingasmallfieldcameraisachallengingtaskbecausethetraditionaltargetwithvisiblefeaturepointsthatfitthelimitedspaceisdifficultandcostlytomanufacture.Wedemonstrateanovelcombinedtargetusedincameracalibration.Thetangentpointssuppliedbyonecirclelocatedatthecenterofasquareareusedasinvisiblefeatures,andtheperspectiveprojectioninvarianceisproved.Bothvisibleandinvisiblefeaturesextractedbytheproposedfeatureextractionalgorithmareusedtosolvethecalibration.Thetargetsuppliesasufficientnumberoffeaturepointstosatisfytherequirementsofcalibrationwithinalimitedspace.Experimentsshowthattheapproachcanachievehighrobustnessandconsiderableaccuracy.Thisapproachhaspotentialforcomputervisionapplicationsparticularlyinsmallfieldsofview.

简介：Ageometricframeworkisproposedfornonlinearmodelswithrantiomeffects,basedonamodifiedversionofthegeometricstructurepresentedbyBates&Wattes(1980).Thisgeometricframeworkisusedtostudysomeasymptoticinferenceintermsofcurvaturesfornonlinearregressionmodelswithrandomeffects.Severalpreviousresultsareextended.