Deflection of Light by the Sun as Refraction in the Gravity Polarized Vacuum

IntheprecedingPaper,itwasdemonstratedthattheadvanceofMercury'sperihelinnrelativetotheSuncanbeunderstoodasaconsequenceofthevelocitydependenceoftheplanet'sinertialandgravitationalmasses(inaccordwithspecialrelativity).Itwasnecessaryonlytotakeinaccountthiseffectinatwofoldmanner:TheincreaseofthemasswithhighervelocityintheexpressionforthekineticenergyandfurtheronalsointhetermfortheattraCtiveforcebetweenSunandMercury.AhighprecisionsolutionofNewton'sequationofmotionfortheplanetgivesamotionofitsPeri…     

旋转相对论的实验证明

狭义相对论不完整,广义相对论没给出研究非惯性系的简便方法。旋转相对论既包括了狭义相对论,并对它进行了补充,又能简便地对各种非惯性系进行研究,它是相对论的统一理论。库仑定律的实验基础是宏观距离上电力的测量,这既没有涉及微观距离,又没有考虑带电粒子都在高速自旋而具有的相对论效应。从而库仑定律对电力的描述并不全面。用以研究宏观电现象尚可,用在研究粒子世界的量子力学中就导致了一系列失误。牛顿万有引力定律也只是个“静引力”定律。星球,星系都在旋转。考虑了旋转相对论效应之后,对宇宙参考系来说,某些星球间是引力,而另一些星球间则是斥力（反引力）,万有引力的提法本身就不准确。另外,引力真正的源不是质量而是电力。本文给出的两个实验证明了上述论点是正确的。     

Relativistic Effects in the Global Positioning System

l'INTRo~TloNThepurposeofthisworkistoexplainhowrelativisticeffectsareaccountedforintheGlobalPositioningSystem(GPS).AlthoughclockvelocitiesaresmallandgravitationalfieldsareweakneartheEarth,theygiverisetosignificantrelativisticeffects.Theseeffectsincludesecond--orderDopplerfrequencyshiftsofclocksduetotheirrelativevelocities,gravitationalfrequencyshifts,andtheSagnaceffectduetotheEarth'srotation.Ifsucheffectsarenotaccountedforproperly,theGPSsimplywouldnotworkatallwell.Thesuccessandself--con…     

Vacuum Fluctuations, Isolated Systems and Hierarchical Cosmology

1.THEAETHER,UNITS,ANDARBrrRARINESSOFGEOMETaY1.1TheAetherNullresultsofaetherdriftexperimentsdonotprovethenon--existenceofanaether.TheMichelson--Moneyexperimentcomparesround--triptransittimesovertwopathsoflengthsLllandLIwhicharerespectivelyparallelandperpendiculartoaethervelocityvg.AlongLlltheexpectedtimewasLll/(c v,) Lll/(c--v,)andalongLIitwasZL./c(l--vg/.')"'.Introducingacv./candy.=(l--p:)"',theexpectedtimesarerespectivelyZyUlj/cand.Zy/II/c.ThenullresultwasexplainedbyLor…     

On Unobservability of One-Way Speed of Light

1.INTRODUCTION.ItiswellknownthatEinsteintheoryofspecialrelativitydiffersfromtheclassicalphysicsessentiallybythesecondPOstulate,theconstancyofvelocityoflightinavacuum.InhisfirstpaperopspecinlrelativityEinstein[l]stressedthedefinitionofsimultaneityandshowedthattheconstancyofone--wayspeedoflightisusedtosynchronizetheseparateclocksinthereferencesystems.Sincethattime,toomanypapersandbooks[2--12],inwhichisotropyofone--wayspeedoflightisdiscussed,havebeenpublished.Althoughallthetesttheoriesandth…     

A New Signature-Based Algorithms for Computing Gr?bner Bases

Gao,Volny and Wang(2010) gave a simple criterion for signature-based algorithms to compute Grobner bases.It gives a unified frame work for computing Grobner bases for both ideals and syzygies,the latter is very important in free resolutions in homological algebra.Sun and Wang(2011) later generalized the GVW criterion to a more general situation(to include the F5 Algorithm).Signature-based algorithms have become increasingly popular for computing Grobner bases.The current paper introduces a concept of factor pairs that can be used to detect more useless J-pairs than the generalized GVW criterion,thus improving signature-based algorithms.     

Limitations of the Special and General Relativities and Their Isotopic Generalizations

Thefieldequationsforexteriorproblemsinvacuumsuggestedbyalltheabovestudiescanbewritten[23,24]Notetheidentificationoftheelectromagneticandgravitationalfields.TheconditionofadmittinganequivalentformulationinMinkowskispaceshouldbekeptinmindasrealizedviatheisotopies[23,241.4.INSUFFicIENCYOFmESPecIALANDGENERALRELATIVmESFORAlgA~R4.1HistoricalOriginofAntimatterAsiswellknown,antimatterwasidentifiedinthenegativerenergysolutionsofDirac'sequation,andwasoriginallythoughttoevolvebackward…     

基于概念树的评估指标相关性研究

判别评估指标之间的相关性是评估指标体系优化中的基础工作之一，论文首先依据评估指标变量的参照点和单位将其划分为3种类型，然后研究评估指标变量的组合类型及其相关性分析方法，其次，引入一种新的方法－概念树方法分析评估指标之间的相关性，提出评估指标的概念树的构建方法及应采取的相应策略，通过举例说明该方法，还给出了如何处理在评估实践中常常出现的，在越高的层次上评估指标之间的相关性越高这一问题的建议，最后指出该方法可以应用在教育以及科研等评估领域。     

A Proposed Gravitodynamic Theory

1.IntRODUCTIONInarecentreviewPaper,Norton[11hasshownthattheprincipleofgeneralcovariancehasbeendisputedasphysicallyvacuous.ThedebateoverthisprinciplePersiststoday.Ingeneralrelativity,spaCe-timecoordinatescanbearbitrarilychosen[2,3]andgravitationalPOtentialsarerepresentedbythemetrictensof,gp.inthefouredimensional(4ro)lineelement:wheregpvhastenindependentcomPOnents,andGreekletterspandvrunfrom0tO3.InEq.(l),d/isan'invariantunderspace--timecoordinatetransformation.However,inordertogetunique…     

分段效用决策的信用评级方法

基于分段决策的基本思想．将信用评级看成一多阶段的两分类判别决策过程．并引入决策效用的概念，建立基于决策效用的判别模型和判别准则。该方法可以较好地解决信用评级过程中评级指标间的不可公度性和相关性的问题。     

Three Levels of Understanding of Special Relativity

1.IMRODUCTIONThefirstcompleteformulation(henceofunderstanding)ofspecialrelativity(SR)wasduetoEinsteinwhoPOstulatedtheinvarianceoflightspeedinvacuo.Thisassumptionappearedhighlynonintuitive.Actuallyitseemedabsurdthatafterhavingmeasuredthespeedofthelightemittedbyasource,oneshouldmeasurethesamevaluewhenapproaching(ordrivingawayfrom)thesamesourceoflight.ItwasthegreatmeritofMansouriandSexl[l]tohaveshownthatthelightspeedinagivendirectionisindependentofthereferencesystemSprovidedtheclocksofSbe…     

Forecasting Approach for Short-term Traffic Flow based on Principal Component Analysis and Combined Neural Network

A combination approach based on Principal Component Analysis (PCA) and Combined Neural Network (CNN) is presented for short-term traffic flow forecasting. The historical data of the forecasted traffic volume and interrelated volumes have been processed by PCA. The results of PCA form the input data for CNN. It not only reduces the dimension of input variables and the size of CNN, but also reserves the main information of the original variables and eliminates relativity among them. An example for explanation of validity is given. The forecast results show that this approach is better than the typical Error Back-Propagation neural network (BP NN) with the same data.     

相关序列小目标图像运动跟踪与仿真研究

针对气动光学效应降晰过程的复杂性,提出了一种基于图像相关性的序列小目标图像运动跟踪及去噪算法.该算法结合序列图像的相关性,避免了因采集时间的延长而使得序列图像中的小目标偏移太大.在相关序列图像的基础上,通过滤波技术,结合"小波变换的背景融合"算法,得到对运动目标背景的估计.以此估计背景为基础进行运动小目标的估计、灰度质心计算,得到运动目标的跟踪.仿真研究结果表明该算法实现了气动光学效应相关序列小目标图像的运动跟踪,背景融合技术和目标图像的估计降低了噪声带来的影响,对气动光学效应序列图像研究具有重要价值.     

基于矢量空间的群体聚类方法研究

通过对群体成员的思维模式进行分析,基于矢量空间提出了群体中任意两个成员偏好矢量相关性度量的一般范数以及基于该矢量相关度的启发式算法,通过执行该使算法使群体中的成员形成若干个不同的聚集。在此基础上,定义并计算群体中各个聚集的偏好和整个群体的偏好,定义并计算群体中各个聚集的一致性指标和整个群体的一致性指标,为群体决策提供依据。最后通过一个实例对算法和一致性指标等进行验证。     

On invariant checking

Checking whether a given formula is an invariant at a given program location (especially, inside a loop) can be quite nontrivial even for simple loop programs, given that it is in general an undecidable property. This is especially the case if the given formula is not an inductive loop invariant, as most automated techniques can only check or generate inductive loop invariants. In this paper, conditions are identified on simple loops and formulas when this check can be performed automatically. A general theorem is proved which gives a necessary and sufficient condition for a formula to be an invariant under certain restrictions on a loop. As a byproduct of this analysis, a new kind of loop invariant inside the loop body, called inside-loop invariant, is proposed. Such an invariant is more general than an inductive loop invariant typically used in the Floyd-Hoare axiomatic approach to program verification. The use of such invariants for program debugging is explored; it is shown that such invariants can be more useful than traditional inductive loop invariants especially when one is interested in checking extreme/side conditions such as underflow, accessing array/collection data structures outside the range, divide by zero, etc.     

对应点集移动相对性建模于脱机签名鉴定研究

提出并论证了欧氏空间中签名的对应点集具有移动相对性,基于该原理构建了一种新的脱机签名鉴定模型,并研究了签名间对应点集获取的方法。在鉴定方案中,待鉴定的脱机签名图像和参考样本的签名图像可以看作欧氏空间内两个不同坐标系中的图像,两者间能够建立相对应的点集合,而欧氏空间平面图像其对应点集具有确定的约束关系,利用该约束关系建立模型可以反映出对应点集移动相对性的大小,因此可以利用该值的差异进行签名真伪鉴定。该方法对于真签名的数量要求较低,并且不需要伪签名来进行训练,适用于脱机签名鉴定中存在的极少样本集情况。实验采用中、英文两种签名数据库验证了该方法的有效性。     

基于混淆矩阵的自适应纠错输出编码多类分类方法

利用纠错输出编码（error-correcting output code, ECOC）作为分解框架,把多类问题转化为二类问题进行求解,是目前解决多类分类的有效手段之一。如何构造基于数据的分解框架是应用此类方法的重点。为此,提出一种自适应纠错输出编码构造方法,利用混淆矩阵计算多类问题中各类别的相关性,基于Fisher准则找出最有利于分类的类别组合,最后根据组合方案构建类别的二类划分并最终形成输出编码。实验中分别对UCI数据集和3种一维距离像数据集进行测试,通过与几种经典的编码方法比较,结果表明该编码方法可以显著提高分类器的性能和稳健性。     

不确定信息下考虑相关性与多样性的作战方案推荐方法

针对现有的作战需求表征与作战方案评价存在不确定性信息、作战方案设计中经验积累与重用以及作战方案推荐中相关性与多样性权衡问题, 提出了一种不确定信息下考虑相关性与多样性的作战方案推荐方法。首先，将粗糙集理论融入最优最劣法(best-worst method, BWM)中对各作战能力属性进行赋权; 其次, 给出了不确定信息下作战方案与任务需求之间的相关性、作战方案之间的多样性计算模型; 然后, 提出了权衡相关性和多样性的行列式点过程(determinantal point process, DPP)模型, 在此基础上, 给出了贪婪最大后验概率(maximum a posterior, MAP)推断算法和贪婪Trade-off推断算法以获得作战方案最优推荐子集; 最后, 通过案例分析验证了所提模型和方法的适用性和可行性。     

多空中作战平台协同对抗多目标态势分析方法

为了对多机协同对抗多目标的作战态势进行定量分析,根据多机协同对抗多目标的空战特征,基于神经网络和证据理论,以传感器和武器能力为证据建立敌我双方对抗态势分析识别框架。将学习引入证据合成过程,用神经网络学习对基本可信数修正系数进行优化,使证据合成能够体现证据之间的相干性和主次关系。以无人作战飞机编队对抗敌地对空防御系统为例,对所研究的态势分析方法进行了验证。获得的计算结果与通过策略实际含义分析的结果相一致,具有合理性。