简介：Inthispaper,thespatiallinearitymethodisappliedtosyntheticalprocessingofprecursorydatafromdifferentstationsanddifferentdisciplines.Thenewcharacteristicvalue(a)obtainedcandescribethewholeprecursoryfield.Theauthorspresenttheformulasforcalculatingspatiallinearity.Furthermore,thespatiallinearitymethodisappliedtoprocessingofgeoelectricalresistivityandgroundwaterleveldatafrom1970to1994inNorthChina.Theresultsshowthatthenewcharacteristicvalue(a)coulddetecttheanomaly1yearbeforemoderatelystrongearthquakes.

简介：Non-lineardynamics,fractals,periodicoscillations,bifurcations,chaos,andotherterminologieshavebeenusedtodescribehumanbiologicalsystemsintheliteratureforafewdecades.Theeightmanuscriptsincludedinthisspecialissuediscussedthehistoricalbackground,selectedtheoretical

简介：Atestforlinearityintimeserieswithβ-ARCHerrorsisproposedinthispaper.Theempiricalpercentagepointsfortsetstatisticarealsogiven.Thesimulatingresultsundernormalandnon-normalerrordistributionsshowthattestsuggestedbyusisverypower

简介：Thispaperdiscussestheproblemconcerningthecontinuityandlinearityofadditivederivationofnestalgebrasonnormedspaces.ItisprovedthaterevylinearderivationofanestalgebraalgNiscontinuousprovidedthatoneofthefollowingconditionsissatisfied:(1)0+（包含）0.(2)X-（包含于）X.(3)thereexistsanon-trivialidempotnetpinalgNsuchthattherangeofpbelongstoN,Itisalsoprovedthateveryadditivederivationofanestalgebraisautomaticallylineariftheunderlyingnormedspaceisinfinitedimemnsional.

简介：Anintelligentmethodforimprovingpositionlinearityofposition-sensitivedetector(PSD),basedonsupportvectormachines(SVMs),isdeveloped.TheSVMisestablishedbasedonthestructuralriskminimizationprincipleratherthanminimizingtheempiricalerrorcommonlyimplementedinneuralnetworks.SVMcanachievehighergeneralizationperformance.TrainingSVMisequivalenttosolvingalinearlyconstrainedquadraticprogrammingproblem,thusthesolutionofSVMisalwaysuniqueandgloballyoptimal.Theimprovingpositionlinearityprocedurehasbeenillustratedusingatwo-dimensional(2D)PSD.ItispointedoutthatthepositionlinearityofthemeasuringsystemwithaproperSVMcorrectionisimprovedbytwoordersofmagnitudeinthemeasurementrange.

简介：Duringpursuiteyemovements,whethertherelationshipsamongthevisualsensitivity,pursuitvelocity,andtargetvelocityarelinearornon-linearisanoldissue.Inthisstudy,wereexaminedtheirrelationshipswithsevenspeedsbyasimplecharacterdiscriminationtaskusinganinfraredeyetracker.Ourresultsfoundthatthepursuitvelocityandaccuracywerenon-linearlyrelatedwiththetargetvelocity.Besides,theperceptualsensitivitywasnotlinearlyrelatedwiththepursuitvelocityeither.Asignificantdifferenceexistedbetweenlower(lessthan20deg/s)andhigherspeeds(greaterthan20deg/s).Inaddition,wefoundtherewasnopositionbiasofvisualsensitivitybetweenaheadofandbehindthepursuittarget,buttherewasasignificantperceptualdissymmetrybetweenhorizontalandverticaldirectionsatlowerpursuitspeeds.

简介：在过去的十年，为详细地震microzonation研究的必要性全球被认出。因此，不同途径被建立并且适用。不幸地，这些途径的多数不基于先存在是领域数据，但是要求广泛的地震大小和调查。而且，这些途径不充分地合并非线性并且不能考虑地下水水平变化。为这个目的，尤其是数字的模型是很合适的。这些模型要求本地地质的条件的好知识(特别最高unconsolidated单位)，这些单位的geotechnical参数的信息，和hydrogeological调查区域当模特儿。大多数这个信息能从已经在最浓密地占据的区域被执行了的geotechnical调查和调查被获得。在为布加勒斯特城市的案例研究，非线性的分析用基于visco发育不全的组成的法律的软件被执行。结果显示地下水水平变化在地面反应并且这样的持续时间和振幅上有重要影响应该为地震microzonation研究被考虑。这条途径能被用来显示地点效果并且识别考虑不同地震大小和地下水层次的不同microzones。

简介：ThepropagationofquadrupleGaussianlaserbeaminaplasmacharacterizedbyaxialinhomogeneityandnonlinearityduetoponderomotiveforceintheparaxialrayapproximationisinvestigated.Anappropriateexpressionforthenonlineardielectricconstanthasbeendevelopedinthepresenceofexternalmagneticfield,withlinearabsorptionandduetosaturationeffectsforarbitrarylargeintensity.Theeffectsofdifferenttypesofplasmaaxialinhomogeneitiesonself-focusingoflaserbeamhavebeenstudiedwiththetypicallaserandplasmaparameters.Self-focusingofquadrupleGaussianlaserbeaminthepresenceofexternallyappliedmagneticfieldandsaturatingparameterisfoundsignificantlyimprovedinthecaseofextraordinarymode.Ourresultsrevealthatinitiallyconvergingbeamshowsoscillatoryconvergencewhereasinitiallydivergingbeamshowsoscillatorydivergence.Thebeamismorefocussedatlowerintensityinbothcasesviz.extraordinaryandordinarymode.