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Research on the Distributed Parallel Spatial Indexing Schema Based on R-TREE
Distributed parallel computing environment Parallel spatial indexing
2015/12/3
As one of the key technologies for improving the efficiency of parallel processing of a huge volume spatial data under the distributed parallel computing environment, the parallel spatial indexing mec...
Describing and Computing Model of the Topological Relation in Spherical Surface Quaternary Triangular Mesh
Spherical surface QTM Euler_number Topological relation
2015/12/3
Spherical surface QTM (Quaternary Triangular Mesh) is one of an efficient tool to deal with the global data because of its advantages of multi-resolution and hierarchy. Based on characters of spherica...
为探究页岩气藏水力压裂复杂裂缝网络的形成机理,开展了缝网扩展的数值模拟研究.考虑应力阴影和天然裂缝作用,建立了井筒和裂缝中流体流动模型,利用位移不连续方法求解应力与位移不连续量,然后构建了压力与裂缝宽度的迭代方程,并采用牛顿迭代法求解.通过比较数值解经典模型解析解,验证了模型和迭代解法的正确性.多簇裂缝同步扩展时裂缝间距越小,压裂液分配到各条裂缝越不均匀,靠近井筒跟部的裂缝的分流量越大,从而裂缝宽...
针对水声目标实测数据量庞大,LOFAR和DEMON分析计算量大的问题,设计了一个基于Visual C++ 6.0的数据库管理系统。管理系统通过ADO接口实现与SQL Server 2005数据库管理程序的数据交换,保证了数据稳定存储和高效传输。通过内存映射文件技术,实现了对大数据文件的快速读取。采用CPU与GPU并行计算进行了LOFAR和DEMON分析,实现了LOFAR和DEMON谱图的实时显示。...
针对复杂激励条件下的振动控制,对Jiles-atherton模型的磁致伸缩作动器在双层隔振系统中的振动主动控制进行了研究,以传统滑模控制为基础,提出了一种柔性神经网络滑模控制算法。用正则化方法设计了控制器的切换矩阵,建立了神经网络权值和柔性映射参数更新学习公式,并将该控制策略应用于双层隔振系统的振动主动控制中。通过单频、多频及随机信号激励进行仿真研究,结果表明:柔性神经网络滑模控制器具有较强的鲁棒...
分布式流体系结构及其编程模型与资源管理
流体系结构 大数据 编程模型 分布式计算
2016/6/3
利用互联网资源提供大数据计算服务面临着资源异构性、动态性与通信长延迟等方面的挑战,现有分布式计算模型仍存在一些不足。运用流计算模型提出分布式流体系结构,包括分布式流编程模型与资源管理等,能够高效支持多种并行执行模式。在10个CPU-GPU异构结点上实现了原型系统,仿真实验验证了7个不同的测试用例。实验结果表明,与本地串行计算相比,分布式流体系结构可以平均提高39倍计算性能,具有较大的应用潜力。
Dynamics of a ring network of phase-only oscillators
Synchronization Coupled oscillators Networks
2015/8/27
We investigate the existence, stability and bifurcation of phase-locked motions in a ring network consisting of phase-only oscillators arranged in multiple simple rings (sub-rings)which are themselves...
The interseismic velocity field of the central Apennines from a dense GPS network
Solutions combination GPS surveys
2015/8/26
Since 1999, we have repeatedly surveyed the central Apennines through a dense survey-style geodetic network, the Central Apennines Geodetic Network (CAGeoNet). CAGeoNet consists of 123 benchmarks dist...
Detailed Network Measurements Using Sparse Graph Counters: The Theory
Measuring the network traffic network counter memory storage counters
2015/8/21
Measuring network flow sizes is important for tasks like accounting/billing, network forensics and security. Per-flow accounting is considered hard because it requires that many counters b...
Convergence to Equilibrium in Local Interaction Games
Game theory model the network the dynamic modeling
2015/8/21
We study a simple game-theoretic model for the spread of an innovation in a network. The diffusion of the innovation is modeled as the dynamics of a coordination game in which the adoption of a common...
Fast Convergence of Natural Bargaining Dynamics in Exchange Networks
Network model games a distributed algorithm
2015/8/21
Bargaining networks model the behavior of a set of players that need to reach pairwise agree-ments for making profits. Nash bargaining solutions are special outcomes of such games that are both stable...
Optimal Wire and Transistor Sizing for Circuits with Non-Tree Topology
Optimal Wire Transistor Sizing Circuits Non-Tree Topology
2015/8/14
Conventional methods for optimal sizing of wires and transistors use linear RC circuit models and the Elmore delay as a measure of signal delay. If the RC circuit has a tree topology the sizing proble...
Quadtree Based JBIG Compression.
Measuring Volterra kernels
Volterra nonlinear system the kernel linear pseudo noise electroacoustic transducer
2015/8/13
Volterra series have been in the engineering literature for some time now, and yet there have been few attempts to measure Volterra kernels. This paper discusses techniques for measuring the Volterra ...
Low rate distributed quantization of noisy observations
Quantitative distributed network nodes a random variable
2015/8/13
We consider the achievable performance of a network of nodes in which the nodes view a common random variable corrupted by a site specific noise and share low rate information about their observations...