信号极点估计的状态空间方法

研究了基于状态空间模型的阻尼指数和信号参数的估计方法，建立了阻尼指数和信号的状态空间状态空间模型，并进行了计算机模拟，该方法以奇异值分解和特征分解为基础，无需对高次方程求根，可以直接从系统状态传输矩阵得到信号的极点，结果表明，计算量小，具有较好的估计性能。     

一种基于CFD理论船舶附加质量与阻尼的计算方法

以计算流体动力学(CFD)理论为基础,给出了一种船舶附加质量与阻尼的计算方法.对船体二维横剖面绕流进行了数值模拟,计算分析了不同振荡模态下浮体的附加质量与阻尼,并与相关势流理论结果进行了比较.研究表明,文中的方法能准确给出浮体运动时的附加质量和阻尼,比势流理论更具有可扩展性,比实验方法更易实现和控制,在船舶性能的分析预报等方面具有广阔的应用前景.     

方差缩减中的控制变量方法研究

方差缩减方法是提高仿真效率的重要手段.针对方差缩减中广泛应用的控制变量法,在国内外研究基础上,综合考虑对仿真变量进行估计所需的样本量和对控制变量进行估计所需的样本量,给出了控制变量均值未知并且有偏时的估计,以及控制变量方差已知时依赖于样本量和样本协方差的复合估计.引入控制变量的计算效率比,综合考虑各种估计方法的方差及其...     

基于混合量测技术的电力系统状态估计研究

电力系统状态估计是能量管理系统(EMS)的重要组成部分,也是电力系统在线监测、分析、控制的基础,如何快速、高效地对电网的状态信息进行预测估计已成为电力系统研究中的热点问题.该文在分析状态估计理论和广域监测的基础上,提出了一种利用电力广域测试系统(WAMS)和监测控制和数据采集(SCADA)混合量测的静态状态估计算法,此算法可以直接利用电流相量量测量,高效快速地进行电网信息的状态估计.相关的仿真和实验结果证明,这种算法具有良好的估计性能,并能够对不良数据进行有效的检测和辨识.     

一种新的心理状态数的估计

心理状态数是反映人们在日常生产活动中心理状态对他们的行为及其结果影响的重要指标.以往的研究都是假定心理状态对结果影响的偏态分布为N(0,σ2,c),这个假定存在一定的缺点.给出一种新的偏态分布,定义了新的心理状态数,并对其进行矩估计和极大似然估计,进而研究了估计的优良性.     

一种迭代未知输入观测器设计

针对具有未知输入的线性系统讨论了基于迭代控制思想的未知输入观测器设计方法.针对每一步迭代,由于当前未知输入已知,因而可以通过设计常规的Luenberger观测器得到当前步的状态估计和输出估计.在此基础上采用D-型迭代学习控制的思想,通过当前输出步误差和未知输入估计值提出下一步的未知输入的迭代估计方法,并利用此次未知输入估计值再次设计Luenberger观测器估计下一步的状态.之后,对迭代算法的收敛性进行了分析,并给出了迭代算法收敛的充分条件.最后,对一个实际模型进行仿真,验证了算法的有效性.     

非线性二阶边界阻尼的粘弹性方程解的能量衰减估计

讨论了具有非线性二阶边界阻尼的粘弹性方程混合问题. 利用\,Nakao\,不等式在阻尼项为一般 情况时得到了能量的指数衰减估计; 在阻尼项为多项式时得到了能量的代数衰减估计.     

半线性带阻尼波动方程的有限元方法

给出了半线性带阻尼波动方程的半离散和全离散有限元逼近格式,并对其进行了理论分析,得到了最优Ｌ２和Ｈ１误差估计．     

离散GI/G/1系统等待时间的尾概率估计

设计了用于估计离散GI/G/1系统等待时间尾概率渐进衰减常数的算法.由于考虑到速率矩阵的特殊结构,所得到的数值算法简洁、高效.与以单纯计算速率矩阵为目标的算法相比较,尾概率渐进衰减常数对速率矩阵不要求有很高的精度,在实际应用中,只需估计出常数的量级即可,因此可以达到快速求解的目的.同时,也对如何计算等待时间的稳态分布边界向量进行了讨论.作为计算尾概率渐进衰减常数的过程中较为重要的量,稳态分布边界向量的快速求解关系到整个算法的效率.几个数值例子表明此算法在离散GI/G/1系统中有良好效果.     

一种嵌套式X型结构的高阻尼隔振器性能研究

在不减小刚度的情况下,为了实现隔振器高阻尼输出的隔振目标,首次提出一种基于嵌套式X型结构的高阻尼隔振器.在建立隔振系统动力学模型基础上,首先,给出了隔振系统的等效阻尼,并研究其非线性变化特性.然后,采用谐波平衡法给出了隔振系统的力传递率.以力传递率为基准,对隔振器系统的减隔振性能以及设计参数的灵敏度进行了分析.最后,通过实验验证了理论模型的有效性和解析结果的准确性.结果表明,与常规线性隔振器相比,采用相同设计参数的嵌套式X型结构高阻尼隔振器可大幅度提高系统输出阻尼,并且其隔振特性可通过各个设计参数灵活调整.相关研究成果可为高阻尼隔振器的设计与应用提供理论依据.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

An Index mechanism for multi-scale view in spatial databases

There are numerous geometric objects stored in the spatial databases. An importance function in a spatial database is that users can browse the geometric objects as a map efficiently. Thus the spatial database should display the geometric objects users concern about swiftly onto the display window. This process includes two operations:retrieve data from database and then draw them onto screen. Accordingly, to improve the efficiency, we should try to reduce time of both retrieving object and displaying them. The former can be achieved with the aid of spatial index such as R-tree, the latter require to simplify the objects. Simplification means that objects are shown with sufficient but not with unnecessary detail which depend on the scale of browse. So the major problem is how to retrieve data at different detail level efficiently. This paper introduces the implementation of a multi-scale index in the spatial database SISP (Spatial Information Shared Platform) which is generalized from R-tree. The difference between the generalization and the R-tree lies on two facets: One is that every node and geometric object in the generalization is assigned with a importance value which denote the importance of them, and every vertex in the objects are assigned with a importance value,too. The importance value can be use to decide which data should be retrieve from disk in a query. The other difference is that geometric objects in the generalization are divided into one or more sub-blocks, and vertexes are total ordered by their importance value. With the help of the generalized R-tree, one can easily retrieve data at different detail levels.Some experiments are performed on real-life data to evaluate the performance of solutions that separately use normal spatial index and multi-scale spatial index. The results show that the solution using multi-scale index in SISP is satisfying.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

海南岛地体及其毗邻陆缘晚中生代—新生代古地磁研究和构造演化

本文叙述了对海南岛及其毗邻大陆边缘白垩纪到第四纪地层岩石进行古地磁研究的全部工作过程。通过分析岩石中剩余磁矢量的磁偏角及磁倾角的变化,提出海南岛白垩纪以来经历的构造演化模式如下:早期伴随顺时针旋转而向南迁移,后期伴随逆时针转动并向北运移。联系该地区及邻区的地质、地球物理资料,对海南岛上述的构造地体运动提出以下认识:北部湾内早期有一拉张作用,主要是该作用使湾内地壳显著伸长减薄,形成北部湾盆地。从而导致了海南岛的早期构造运动,而海南岛后期的构造运动则主要是受南海海底扩张的影响。海南地体运动规律的阐明对于了解北部湾油气盆地的形成演化有重要的理论和实际意义。     

Exciton Seebeck in Molecular Systems

Various applications relevant to the exciton dynamics,such as the organic solar cell,the large-area organic light-emitting diodes and the thermoelectricity,are operating under temperature gradient.The potential abnormal behavior of the exicton dynamics driven by the temperature difference may affect the efficiency and performance of the corresponding devices.In the above situations,the exciton dynamics under temperature difference is mixed with     

Achieving Unusual States of Matter Under High Pressure

The elongation method,originally proposed by Imamura was further developed for many years in our group.As a method towards O(N)with high efficiency and high accuracy for any dimensional systems.This treatment designed for one-dimensional(ID)polymers is now available for three-dimensional(3D)systems,but geometry optimization is now possible only for 1D-systems.As an approach toward post-Hartree-Fock,it was also extended to     

《Chinese Science Bulletin》SUBJECT INDEX TO VOLUME 59(2014)

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An on-line scaling method for improving scalability of a database cluster

The explosive growth of the Internet and database applications has driven database to be more scalable and available, and able to support on-line scaling without interrupting service. To support more client's queries without downtime and degrading the response time, more nodes have to be scaled up while the database is running. This paper presents the overview of scalable and available database that satisfies the above characteristics. And we propose a novel on-line scaling method. Our method improves the existing on-line scaling method for fast response time and higher throughputs. Our proposed method reduces unnecessary network use, i.e. , we decrease the number of data copy by reusing the backup data. Also, our on-line scaling operation can be processed parallel by selecting adequate nodes as new node. Our performance study shows that our method results in significant reduction in data copy time.     

An improved R-tree based on childnode''s probability

R-Tree is a good structure for spatial searching. But in this indexing structure,either the sequence of nodes in the same level or sequence of traveling these nodes when queries are made is random. Since the possibility that the object appears in different MBR which have the same parents node is different, if we make the subnode who has the most possibility be traveled first, the time cost will be decreased in most of the cases. In some case, the possibility of a point belong to a rectangle will shows direct proportion with the size of the rectangle. But this conclusion is based on an assumption that the objects are symmetrically distributing in the area and this assumption is not always coming into existence. Now we found a more direct parameter to scale the possibility and made a little change on the structure of R-tree, to increase the possibility of founding the satisfying answer in the front sub trees. We names this structure probability based arranged R-tree (PBAR-tree).     

Integrating GIS Web services based on mediating architecture

The geographic information service is enabled by the advancements in general Web service technology and the focused efforts of the OGC in defining XML-based Web GIS service. Based on these models, this paper addresses the issue of services chaining,the process of combining or pipelining results from several interoperable GIS Web Services to create a customized solution. This paper presents a mediated chaining architecture in which a specific service takes responsibility for performing the process that describes a service chain. We designed the Spatial Information Process Language (SIPL) for dynamic modeling and describing the service chain, also a prototype of the Spatial Information Process Execution Engine (SIPEE) is implemented for executing processes written in SIPL. Discussion of measures to improve the functionality and performance of such system will be included.