New Results on One Modulo N-Difference Mean Graphs

A graph G is said to be one modulo N-difference mean graph if there is an injective function f from the vertex set of G to the set , where N is the natural number and q is the number of edges of G and f induces a bijection from the edge set of G to given by and the function f is called a one modulo N-difference mean labeling of G. In this paper, we show that the graphs such as arbitrary union of paths, , ladder, slanting ladder, diamond snake, quadrilateral snake, alternately quadrilateral snake, , , , , friendship graph and admit one modulo N-difference mean labeling.

On Cultural Differences between English and Chinese --From the Aspect of Seven Types of Meaning

This paper analyzes cultural differences of English and Chinese in terms of Seven Types of Meaning . It proceeds from the theory of Leech’s Seven Types of meaning , then comparatively illustrates with analysis of each type of meaning and cultural differences. And concludes with the cause of cultural differences and problems of it in cross-cultural communication with the hope that Chinese student could avoid Chinglish in learning and both Chinese and foreigners could avoid cultural shock when communicating with each other.

ON THE m^(th) ORDER DIFFERENCE SEQUENCE SPACE OF GENERALIZED WEIGHTED MEAN AND COMPACT OPERATORS

In this article, using generalized weighted mean and difference matrix of order m, we introduce the paranormed sequence space l（u, v, p; △（m））, which consist of the sequences whose generalized weighted △（m）-difference means are in the linear space l（p） defined by I.J.Maddox. Also, we determine the basis of this space and compute its α-, β- and γ-duals. Further, we give the characterization of the classes of matrix mappings from l（u, v, p, △（m）） to l∞, c, and co. Finally, we apply the Hausdorff measure of noncompacness to characterize some classes of compact operators given by matrices on the space lp（U, v, △（m）） （1 ≤ p 〈 ∞）.

Fast-moving target tracking based on mean shift and frame-difference methods

The mean shift tracker has difficulty in tracking fast moving targets and suffers from tracking error accumulation problem. To overcome the limitations of the mean shift method, a new approach is proposed by integrating the mean shift algorithm and frame-difference methods. The rough position of the moving tar- get is first located by the direct frame-difference algorithm and three-frame-difference algorithm for the immobile camera scenes and mobile camera scenes, respectively. Then, the mean shift algorithm is used to achieve precise tracking of the target. Several tracking experiments show that the proposed method can effectively track first moving targets and overcome the tracking error accumulation problem.

About the Mean Difference of the Inverse Normal Distribution

The calculation of the mean difference for the inverse normal distribution can be obtained by a transformation of variable or a hard integration by parts. This paper shows a simpler formula of the mean difference of the inverse normal distribution that highlights the role of the two parameters on the mean difference of the model. It makes it easier to study the relation of the mean difference with the other indexes of variability for the inverse normal distribution.

Mean Square Convergent Finite Difference Scheme for Stochastic Parabolic PDEs

Stochastic partial differential equations (SPDEs) describe the dynamics of stochastic processes depending on space-time continuum. These equations have been widely used to model many applications in engineering and mathematical sciences. In this paper we use three finite difference schemes in order to approximate the solution of stochastic parabolic partial differential equations. The conditions of the mean square convergence of the numerical solution are studied. Some case studies are discussed.

NOTES ON THE SPECTRAL PROPERTIES OF THE WEIGHTED MEAN DIFFERENCE OPERATOR G(u,v;?) OVER THE SEQUENCE SPACE ?_1

In the study by Baliarsingh and Dutta [Internat. J.Anal., Vol.2014（2014）, Article ID 786437], the authors computed the spectrum and the fine spectrum of the product operator G （u, v; A） over the sequence space e1. The product operator G （u, v; △） over l1 is defined by （G（u,v;△）x）k=^k∑i=0ukvi（xi- xi-1） with xk = 0 for all k 〈 0, where x = （xk）∈e1,and u and v axe either constant or strictly decreasing sequences of positive real numbers satisfying certain conditions. In this article we give some improvements of the computation of the spectrum of the operator G （u, v; △） on the sequence space gl.

Clustering Categorical Data Based on Within-Cluster Relative Mean Difference

The clustering on categorical variables has received intensive attention. In dataset with categorical features, some features show the superior performance on clustering procedure. In this paper, we propose a simple method to find such distinctive features by comparing pooled within-cluster mean relative difference and then partition the data upon such features and give subspace of the subgroups. The applications on zoo data and soybean data illustrate the performance of the proposed method.

Mean Difference and Mean Deviation of Tukey Lambda Distribution

The purpose of this paper is to broaden the knowledge of mean difference and, in particular, of an important distribution model known as Tukey lambda, which is generally used to choose a model to fit data. We have obtained compact formulas, which are not yet reported in literature, of mean deviation and mean difference related to the said distribution model. These results made it possible to analyze the relationships among variability indexes, namely standard deviation, mean deviation and mean difference, regarding Tukey lambda model.

Mean Difference of Truncated Normal Distribution

The purpose of this paper is to broaden the knowledge of mean difference and, in particular, of an important distribution model known as truncated normal distribution, which is widely used in applied sciences and economics. In this work, we obtained the general formula of mean difference, which is not yet reported in literature, for the aforementioned distribution model and also for particular truncated cases.

On the Mean Difference Variance in Random Samples of Student’s Variables

The purpose of this paper is to obtain the expression of the sample mean difference variance of the Student’s distributive model. In the 2007 the study of the mean difference variance, after some decades, was resumed by Campobasso [1]. Using the Nair’s [2] and Lomnicki’s general results [3], he obtained the variance of sample mean difference for different distributive models (Laplace’s, triangular, power, logit, Pareto’s and Gumbel’s model). In addition he extended the knowledge comparing to the ones already known for the other distributive model (normal, rectangular and exponential model).

The Mean Difference for Lognormal Distribution

The calculation of the mean difference for the lognormal distribution involves several hard integrals featuring the error function. In this paper, considering two particular cases of an integral of the exponential function for the complement to one of the error functions, and using various symmetries, we have achieved the result of an extremely simple and useful formula of the mean difference for the lognormal distribution.

Finite Difference Scheme for Solving Parabolic Partial Differential Equations with Random Variable Input under Mean Square Sense

This study deal with seven points finite difference method to find the approximation solutions in the area of mean square calculus solutions for linear random parabolic partial differential equations. Several numerical examples are presented to show the ability and efficiency of this method.

The Cultural Difference and Teaching of English Lexicology

Contrast this to be adopted in terms of both language and cultural background reflected in the meaning of life,and address,social etiquette,gender,emotional,and other areas to explore differences in how English vocabulary teaching in the financial and cultural knowledge in the language,into a culture of moderation,thereby enhancing the efficiency of teaching vocabulary to the real purpose of teaching vocabulary.

A new polar motion prediction method combined with the difference between polar motion series

After the first Earth Orientation Parameters Prediction Comparison Campaign(1 st EOP PCC),the traditional method using least-squares extrapolation and autoregressive(LS+AR)models was considered as one of the polar motion prediction methods with higher accuracy.The traditional method predicts individual polar motion series separately,which has a single input data and limited improvement in prediction accuracy.To address this problem,this paper proposes a new method for predicting polar motion by combining the difference between polar motion series.The X,Y,and Y-X series were predicted separately using LS+AR models.Then,the new forecast value of X series is obtained by combining the forecast value of Y series with that of Y-X series;the new forecast value of Y series is obtained by combining the forecast value of X series with that of Y-X series.The hindcast experimental comparison results from January 1,2011 to April 4,2021 show that the new method achieves a maximum improvement of 12.95%and 14.96%over the traditional method in the X and Y directions,respectively.The new method has obvious advantages compared with the differential method.This study tests the stability and superiority of the new method and provides a new idea for the research of polar motion prediction.

Elementary Introduction to the differences in Vocabulary between British English and American English

With the development of the two countries, the differences in some fields are clear and are also reflected in their languages. This paper discusses the differences in vocabulary between British English and American English through three aspects - - - the same words but different meaning, the same meanings but different words,characteistic words.

Analysis of the Symbolic Meaning of Moby Dick Based on Different Aspects

In the mid-19th century,"White Whale"was written by the famous American writer Hermann Melville. The creation of this work is a new chapter in the creation of literary history. The text has a unique symbolic creative approach. This article will analyze the symbolic meaning of"Moby Dick"from different aspects, and has a high literary and artistic creation value.

不均匀光照下带钢表面缺陷检测方法的研究

针对带钢表面存在光照不均及缺陷类型繁杂的问题导致缺陷检测精度不高的情况,提出一种基于梯度相似性引导模板的带钢缺陷检测方法。在利用二维高斯函数估计背景模板的基础上,结合梯度相似性引导其最优参数的选取;将原图像与优化后的背景模板进行图像差分操作,消除部分不均匀光照,同时构造分段函数对差分图像进行光照补偿,并结合Meanshift算法去除噪点,进一步增强差分图像;利用改进的K-means算法进行聚类分割并结合区域标记实现带钢表面不同缺陷的准确检测。实验结果表明,该方法能够在不均匀光照下准确检测出夹杂、麻点、酸洗、划痕等多种带钢表面缺陷,召回率和精确度分别达到93.2%和96.8%。

公正世界信念与问题性网络使用的关系:拥有生命意义的中介作用与年龄差异

为了考察公正世界信念对问题性网络使用的影响机制以及年龄差异,使用公正世界信念问卷、生命意义感量表以及问题性网络使用问卷为测量工具,采用整群取样法选取440名大学生为研究对象进行问卷调查。相关分析结果表明,公正世界信念与拥有生命意义呈显著正相关,与问题性网络使用呈显著负相关,拥有生命意义与问题性网络使用呈显著负相关;结构方程模型结果显示,拥有生命意义在公正世界信念与问题性网络使用之间起部分中介作用,且在这一模型中,年龄调节了拥有生命意义与问题性网络使用的关系。研究结果解释了公正世界信念与问题性网络使用的关系及内在机制,为针对性预防大学生问题性网络使用提供方向指导和实证证据。

基于领域自适应的变工况轴承故障诊断

针对轴承故障诊断中存在训练样本和测试样本分布不同及各类故障数据不平衡导致故障识别率低的问题,设计了一种基于改进残差网络(ResNet)的领域自适应故障诊断方法。在诊断网络第1层使用多维度卷积结构进行特征提取,得到不同维度的故障特征信息;在领域自适应层采用局部最大平均差异(LMMD)对齐源域和目标域的分布,获取更多细粒度信息;使用类平衡损失函数(CBLoss)解决不平衡数据的训练问题,以Adam优化网络实现故障诊断。实验结果表明,所提方法可在故障样本类别不平衡下有较高的诊断结果。在2个轴承数据集和采集的风力发电机数据上进行实验验证,结果表明,所提方法具有一定的优越性,在数据样本不平衡情况下,诊断性能优于深度神经网络和领域自适应网络等深度迁移学习方法,可作为一种有效的跨工况故障分析方法。