RLW方程的高精度加权平均差分格式

对正则长波(RLW)方程建立一种高精度加权平均差分格式,所建格式是三层隐式的,具有二阶时间精度和四阶空间精度,且能够精确地模拟原问题的质量和能量守恒.利用离散能量法证明了所建格式解的存在性、唯一性、收敛性和稳定性.数值实验验证了理论分析的有效性.

浅析国内高校平均学分绩点的衡量模式

该文为了学生的申请国内各大高校也根据本校的实际需要和本校特点为学生设计了很多关于平均学分绩点的衡量模式。通过调研,根据国内典型高校的平均学分制绩点计算方法进行总结发现,在国内平均学分绩点的衡量模式主要是百分制绩点衡量模式和加权平均学分计算模式两类,本文通过比较这两种模式,对其产生的原因进行了浅析。从而归纳出平均学分绩点的两种衡量模式,浅析了这两种衡量模式的优点和不足,为目前国内高校提供有价值的平均学分绩点的衡量模式提供参考。

职业教育中工程测量课程成绩分析模型研究

考试成绩对学生将来的就业、技能掌握有重大影响,因而分析造成考试成绩的因素有重要意义。近来,手机、网络游戏的广泛应用对学业的影响越来越成为人们关注的一个现象。有两个问题值得深入探讨:其一,手机、网络游戏等因素的影响,在成绩分布上的有无明显的表征?其二,学校管理因素、尤其是学校按高考入学成绩设置学号对考试成绩差异的影响程度有多大?使用广东高职高考中专考本科的学生数据,采用综合加权平均分模型和最小二乘法,对此进行分析。研究发现:对于理解大学生在外界影响较大的情况下,考试成绩波动较大,同时,改革学校教育的内容方式和教学模式,研究优质教育资源对不同入学成绩的作用机制,对于促进不同基础知识程度学生成绩能同步提高从而人力资本积累的合理发展具有重要意义。

优化15点频率-空间域有限差分正演模拟

频率域正演是频率域波形反演的基础,有效快速的正演差分格式可以保证反演结果的精度和效率.本文以用较小的系数矩阵带宽来高效地压制频域正演频散为目标,综合利用加权平均算子、平均加速度项和优化系数三种方法,提出了优化15点差分格式;并且采用压缩存储方式来存放大型系数矩阵,极大地缩小了内存使用量;进而结合最佳匹配层(PML)边界条件,明显地压制了边界反射;最后,通过与前人方法的对比验证,证实了本方法可以在不明显增加计算量的情况下,较好地压制频散.

常微分方程数值计算的新方法—偏差分方法的理论与分析

提出了一种新的常微分方程数值计算的方法,构建了一些新的计算公式.提出的新方法计算公式繁多,是一种值得研究的常微分方程数值计算方法.

基于名声评价的信任模型研究

根据交易者在交易环境中的角色划分设立商家名声与消费者名声,提出了基于评价时间顺序、交易金额和消费者信任值权重的信任模型;通过金额和消费者信任值加权计算商家加权平均分,在判断消费者评价可信度基础上,考虑时间衰减因子计算商家信任值。实验证明,该信任模型能够准确地判断诋毁消费者和不诚信商家,提高了信任模型的抗攻击能力和可用性,可有效帮助消费者识别商家的信任值变化趋势。

数据挖掘在教师教学质量评估系统中的应用研究

在教学评估中应用数据挖掘技术,解决了教学质量评估中指标体系难于确定的难题,由此计算各门课程的加权平均分并分析出各教师的评估等级等。

Analysis of anthropogenic aluminum cycle in China

Anthropogenic aluminum cycle in China was analyzed by the aluminum flow diagram based on the life cycle of aluminum products. The whole anthropogenic aluminum cycle consists of four stages： alumina and aluminum production, fabrication and manufacture, use and reclamation. Based on the investigation on the 2003-2007 aluminum cycles in China, a number of changes can be found. For instance, resources self-support ratio （RSR） in alumina production dropped from 95.42%to 55.50%, while RSR in the aluminum production increased from 52.45%to 79.25%. However, RSR in the Chinese aluminum industry leveled off at 50%in the period of 2003-2007. The respective use ratios of domestic and imported aluminum scrap in the aluminum industry of 2007 were 5.38% and 9.40%. In contrast, both the net imported Al-containing resources and the lost quantity of Al-containing materials in aluminum cycle increased during the same period, as well as the net increased quantity of Al-containing materials in social stock and recycled Al-scrap. Proposals for promoting aluminum cycle were put forward. The import/export policy and reducing the loss of Al-containing materials for the aluminum industry in China in the future were discussed.

一种新的干涉图质量评定指标研究

研究干涉图的质量指标不仅可以评价主从影像的配准精度,而且在干涉图滤波处理时还可以进行滤波因子的计算和滤波效果的评定。基于评价干涉图质量的相位差分和法的基本原理,提出了顾及2π周期性相位差分和指标和以相干值定权的加权相位差分和指标,并通过西安地区DEM干涉图的实例验证了该质量指标的优越性。

Exploring on Hierarchical Kalman Filtering Fusion Accuracy

Aim To analyze the traditional hierarchical Kalman filtering fusion algorithm theoretically and point out that the traditional Kalman filtering fusion algorithm is complex and can not improve the tracking precision well, even it is impractical, and to propose the weighting average fusion algorithm. Methods The theoretical analysis and Monte Carlo simulation methods were ed to compare the traditional fusion algorithm with the new one,and the comparison of the root mean square error statistics values of the two algorithms was made. Results The hierarchical fusion algorithm is not better than the weighting average fusion and feedback weighting average algorithm The weighting filtering fusion algorithm is simple in principle, less in data, faster in processing and better in tolerance.Conclusion The weighting hierarchical fusion algorithm is suitable for the defective sensors.The feedback of the fusion result to the single sersor can enhance the single sensorr's precision. especially once one sensor has great deviation and low accuracy or has some deviation of sample period and is asynchronous to other sensors.

Modeling Evolution of Weighted Clique Networks

We propose a weighted clique network evolution model, which expands continuously by the addition of a new clique （maximal complete sub-graph） at. each time step. And the cliques in the network overlap with each other. The structural expansion of the weighted clique network is combined with the edges＇ weight and vertices＇ strengths dynamical evolution. The model is based on a weight-driven dynamics and a weights＇ enhancement mechanism combining with the network growth. We study the network properties, which include the distribution of vertices＇ strength and the distribution o~ edges＇ weight, and find that both the distributions follow the scale-free distribution. At the same time, we also find that the relationship between strength and degree of a vertex are linear correlation during the growth of the network. On the basis of mean-field theory, we study the weighted network model and prove that both vertices＇ strength and edges＇ weight of this model follow the scale-free distribution. And we exploit an algorithm to forecast the network dynamics, which can be used to reckon the distributions and the corresponding scaling exponents. Furthermore, we observe that mean-field based theoretic results are consistent with the statistical data of the model, which denotes the theoretical result in this paper is effective.

Comparison of Design Response Spectrum for Long Period Structures Based on Scenario Earthquakes

Two kinds of determining methods for scenario earthquakes are presented in this paper,namely the weighted average method and maximum probability method. This paper briefly introduces the two methods,then taking a high-rise building in the Yantai area as a case study,we use the weighted average method and maximum probability method to realize seismic hazard analysis, determine earthquake magnitude, the epicenter and specific space position,and then give two response spectrums of the two methods. By comparing the differences of response spectrums between the two methods,we find that the weighted average method is more suitable for long period structures,while considering long period safety. The maximum probability method is more suitable for short period structures. It is reasonable to choose a corresponding different method when the structures have different natural vibration periods.

Model On Suspicion Deciding

First. we use graph theory to further clarify information of nodes and topics. Next, our paper analyzes the factor which affects the nodes probability of being conspirators. According to requirement 1, each node is given an initial probability in being a conspirator on the basis of the acquired information.Then we conduct calculations with the iterative equation produced by factor analysis to get the priority list of the 83 given nodes. In addition, according to requirement 2, we make some changes of the nodes information before solving the iterativc modcl above. Compared with former result, some changes of priority and probability of being conspirator emerges.Finally, based upon requirement 3, we pick out some infomaation from some certain topic by semantic analysis and text analysis. A new group of indexes are solved out with TOPSIS to finish the information-gathering period. The terminal indicator, containing the information of nodes and topics, is a weighted average value of the indexes obtained above and the indexes obtained in requirement 1 with the method of the variation coefficient.

A PRACTICAL METHOD FOR IMPROVING CONSISTENCY OF JUDGEMENT MATRIX IN THE AHP

In this paper,an approach to improving consistency of judgement matrix in the Analytic Hierarchy Process (AHP) is presented,which utilizes the eigenvector to revise a pair of entries of judgement matrix each time.By using this method,any judgement matrix with a large C.R.can be modified to a matrix which can both tally with the consistency requirement and reserve the most information that the original matrix contains.An algorithm to derive a judgement matrix with acceptable consistency (i.e.,C.R.<0.1) and two criteria of evaluating modificatory effectiveness are also given.

The Average Errors for Hermite Interpolation on the 1-Fold Integrated Wiener Space

For the weighted approximation in Lp-norm,the authors determine the weakly asymptotic order for the p-average errors of the sequence of Hermite interpolation based on the Chebyshev nodes on the 1-fold integrated Wiener space.By this result,it is known that in the sense of information-based complexity,if permissible information functionals are Hermite data,then the p-average errors of this sequence are weakly equivalent to those of the corresponding sequence of the minimal p-average radius of nonadaptive information.

Traces of weighted function spaces: Dyadic norms and Whitney extensions

The trace spaces of Sobolev spaces and related fractional smoothness spaces have been an active area of research since the work of Nikolskii, Aronszajn, Slobodetskii, Babich and Gagliardo among others in the 1950's. In this paper, we review the literature concerning such results for a variety of weighted smoothness spaces. For this purpose, we present a characterization of the trace spaces(of fractional order of smoothness),based on integral averages on dyadic cubes, which is well-adapted to extending functions using the Whitney extension operator.

ON WEIGHTED RANDOMLY TRIMMED MEANS

A class of robust location estimators called weighted randomly trimmed means are introduced and not only their consistency and asymptotic normality are proved, but their influence functions, asymptotic variances and breakdown points are also derived. They possess the same breakdown points as the median, and some of them own higher asymptotic relative efficiencies at the heavy-tailed distributions than some other well-known location estimators; whereas the trimmed means, Winsorized means and Huber＇s M-estimator possess higher asymptotic relative efficiencies at the light-tailed distributions, in which Huber＇s M-estimator is the most robust.

Study on the Sequence in Formulating Standards for Acupuncture and Moxibustion

Objective： To study which items need the formulation of national standards and which standards should be first formulated. Methods： Apply the method of the questionnaire survey to collect data, and the statistical analysis adopt the frequency and weighted average method. Results： Propose the items of acupuncture and moxibustion which need the urgent formulation of standards and the sequence in the formulation of standard items. Conclusion： Provid important bases for the follow-up report of national standard items and avoid temporary formulation of standards without plan .

Molecular variation and evolution of the tyrosine kinase domains of insulin receptor IRa and IRb genes in Cyprinidae

The insulin receptor （IR） gene plays an important role in regulating cell growth, differentiation and development. In the present study, DNA sequences of insulin receptor genes, IRa and IRb, were amplified and sequenced from 37 representative species of the Cyprinidae and from five outgroup species from non-cyprinid Cypriniformes. Based on coding sequences （CDS） of tyro- sine kinase regions of IRa and IRb, molecular evolution and phylogenetic relationships were analyzed to better understand the characteristics of IR gene divergence in the family Cyprinidae. 1Ra and IRb were clustered into one lineage in the gene tree of the IR gene family, reconstructed using the unweighted pair group method with arithmetic mean （UPGMA）. IRa and IRb have evolved into distinct genes after IR gene duplication in Cyprinidae. For each gene, molecular evolution analyses showed that there was no significant difference among different groups in the reconstructed maximum parsimony （MP） tree of Cyprinidae; IRa and 1Rb have been subjected to similar evolutionary pressure among different lineages. Although the amino acid sequences of IRa and IRb tyrosine kinase regions were highly conserved, our analyses showed that there were clear sequence variations between the tyrosine kinase regions of IRa and IRb proteins. This indicates that IRa and IRb proteins might play different roles in the insulin signaling pathway.

Distributional congruence of mammalian herbivores in the Trans-Himalayan Mountains

Large-scale distribution and diversity patterns of mammalian herbivores, especially less charismatic species in alpine environments remain little understood. We studied distributional congruence of mammalian herbivores in the Trans-Himalayan region of Ladakh to see if the distributions of less prominent and smaller herbivores can be determined from those of larger and more prominent herbivores like ungulates. Using a similarity index, we assessed shared distributions of species in 20x20 km2 grid-cells in an area of about 80,000 km2. We used the Unweighted Pair-Group Method with Arithmetic Average （UPGMA） to classify mammalian herbivores into groups with similar distributions. We then used the G-test of independence to look for statistical significance of the groups obtained. We identified six groups of mammalian herbivores with distributions more similar than ex- pected at random. The largest group was composed of nine species whereas the other large group comprised six species. Canonical Correspondence Analysis （CCA）, used to relate the groups with environmental features, showed that the largest group occurred in higher and flatter areas, while the other large group occurred in lower and steeper areas. Large herbivores like ungulates can be used as surrogate for less prominent small herbivores while identifying areas for latter＇s protection in the inaccessible mountainous re- gions of the Trans-Himalaya [Current Zoology 59 （1）： 116-124, 2013].