3-D velocity structure in the central-eastern part of Qilianshan

The 3-D velocity tomography image of the central-eastern part of Qilianshan is obtained by the joint inversion of 3-D velocity structure and focal parameters based on the S-P data of micro-earthquakes recorded by the digital seismic network set up for a Sino-French cooperation program since 1996. The inversed velocity structure does primarily reflect some important features of the deep structure in the region and provide the scientific background for the further study of active tectonic structure and the calculation of earthquake parameters.

A 3-D Polarization Quadrature Amplitude Modulation Method and Constellation Mapping

As a new three-dimensional(3-D)modulation,Polarization Quadrature Amplitude Modulation(PQAM) can be regarded as the combination of Pulse amplitude modulation(PAM) and Quadrature Amplitude Modulation(QAM) Modulation.It can better improve the digital communication efficiency and reduce the Symbol error rate(SER) of the system than one-dimensional or two-dimensional modulation scheme.How to design a feasible constellation is the most concerned problem of PQAM currently.This paper first studies the relationship between the SER theoretical value of PQAM and the distribution of M and N,proposes a new M,N allocation scheme.Secondly,a new and straightforward design method of constructing higher-level 3-D signal constellations,which can be matched with the PQAM,and the constellation can divided into three different structures according to the ary for PQAM.Finally,the simulation results show that:in PQAM system,the modulation scheme and the constellation mapping scheme are proposed in this paper which can effectively reduce the system SER and improve the anti-noise performance of the system.

Probabilistic analysis on fault tolerance of 3-Dimensional mesh networks

The probability model is used to analyze the fault tolerance of mesh. To simplify its analysis, it is as-sumed that the failure probability of each node is independent. A 3-D mesh is partitioned into smaller submeshes,and then the probability with which each submesh satisfies the defined condition is computed. If each submesh satis-fies the condition, then the whole mesh is connected. Consequently, the probability that a 3-D mesh is connected iscomputed assuming each node has a failure probability. Mathematical methods are used to derive a relationship be-tween network node failure probability and network connectivity probability. The calculated results show that the 3-D mesh networks can remain connected with very high probability in practice. It is formally proved that when thenetwork node failure probability is boutded by 0.45 %, the 3-D mesh networks of more than three hundred thousandnodes remain connected with probability larger than 99 %. The theoretical results show that the method is a power-ful technique to calculate the lower bound of the connectivity probability of mesh networks.

Design and Mechanics Simulation of Bionic Lubrication System of Artificial Joints

We propose a new structure for artificial joints with a joint capsule which is designed to overcome the drawback of current prostheses that omit many functions of the lubricant and the joint capsule. The new structure is composed of three components： lubricant, artificial joint and artificial joint capsule. The lubricant sealed in the capsule can not only reduce the wear of the artificial joint but also prevents the wear particles leaking into the body. So unexpected reactions between the wear particles and body can be avoided completely. A three-dimensional （3-D） finite element analysis （FEA） model was created for a bionic knee joint with capsule. The stresses and their distribution in the artificial capsule were simulated with different thickness, loadings, and flexion angles. The results show that the maximum stress occurs in the area between the artificial joint and the capsule. The effects of capsule thickness and the angles of flexion on stress are discussed in detail.

Three-Dimensional Interferometric ISAR Sensors Imaging for the Ship Target with Two-Dimensional Sparsity

There are great challenges for traditional three-dimensional( 3-D) interferometric inverse synthetic aperture radar( In ISAR) imaging algorithms of ship targets w ith 2-D sparsity in actual radar imaging system. To deal w ith this problem,a novel 3-D In ISAR imaging method is proposed in this paper.First,the high-precision gradient adaptive algorithm w as adopted to reconstruct the echoes in range dimension. Then the method of minimizing the entropy of the average range profile w as applied to estimate the parameters w hich are used to compensate translation components of the received echoes. Besides,the phase adjustment and image coregistration of the sparse echoes w ere achieved at the same time through the approach of the joint phase autofocus. Finally,the 3-D geometry coordinates of the ship target w ith 2-D sparsity w ere reconstructed by combining the range measurement and interferometric processing of the ISAR images. Simulation experiments w ere carried out to verify the practicability and effectiveness of the algorithm in the case that the received echoes are in 2-D sparsity.

Three-Dimensional Dynamic Based Borrowing Scheme for Wireless Cellular Networks

Mobility metrics of wireless networks such as link availability, number of neighboring nodes, link duration, link state, and link stability make it difficult to provide a node with quality of services guarantee. In previous research on Quality of Service (QoS) for cellular networks especially for handling handoff connections, the design was based on a flat 2D hexagon cells. However, in reality Base Station antenna coverage is in a 3D space and there exists a blind spot;the area which is just above and bellow the radiated antenna. In this paper we introduce the concept of Blind Spot (BS) in which there is no signals to initiate a call or accepting a handoff one. In BS, the signal power equal zero. Even if there is enough bandwidth to initiate or accept a handoff call, it will be blocked or dropped respectively. We present an implementation of Static Borrowing Scheme (SBS) and we extend the dynamic-rate based borrowing scheme [1] into 3-Dimentional structure and call it 3-Dimensional Dynamic Based Borrowing Scheme (3D DBBS). The proposed new technique for resource sharing is to ensure the continuity for both originating and handoff connections in 3-D cellular networks based on Dynamic-Based Borrowing Scheme (3D BBS). This technique aims to minimize the blocking probability of the originating calls by minimizing the dropping probability of the handoff requests and maximizing the channel utilization. The results revealed that 3D DBBS outperformed the static based schemes by 5% on average even when the blind spot of the base station antenna is taken into consideration. When moving to a 3D space, the results of the simulation showed the 3D DBBS outperformed the static scheme by 2% on average. As a result, considering nodes in a 3D space will have better QoS guarantee as the blocking and dropping probabilities are decreased. Thus, the bandwidth utilization is increased.

多变量干旱事件识别与频率计算方法

干旱持续时间久、影响范围大,时空连续性是干旱的基本特征,以往研究大多考虑单变量或双变量。通过给定阈值识别干旱斑块和判断两相邻时间干旱的连续性,提出了时空连续的干旱事件三维识别方法,用干旱历时、干旱面积、干旱烈度、干旱强度和干旱中心位置5个特征变量对一场干旱事件进行度量;提出了基于Copula函数的干旱历时-面积-烈度三变量频率分析方法。以中国西南地区为例,采用SPI(Standard Precipitation Index)干旱指标识别了近52年发生历时等于或大于3个月的干旱事件,一共78场,其中2009年8月至2010年6月最严重干旱事件的重现期为94年一遇。通过比较概率分布函数和Copula函数,表明在干旱频率分析时需要考虑干旱历时、面积、烈度3个特征变量。

上海市不同历时暴雨组合概率研究

基于上海市徐家汇站1960—2011年的日降雨资料,分析上海市年最大1d和3d降水量年际变化和年代际变化特性;择优选择GH Copula函数构建了年最大1 d与3 d降水量的联合分布模型,并推算它们的同现重现期和组合风险概率。结果表明:年最大1 d和3 d降水随时间呈增加趋势,自20世纪70年代开始其均值随年代增加;年最大1 d和3 d设计暴雨同频遭遇风险率在75%~85%之间,且同现风险率随年最大1 d设计暴雨值增大而增加。在设计上海市防洪排涝标准时若考虑最大1 d和3 d降水量的遭遇组合,有利于提升防洪排涝能力,保障防洪安全。

THREE-DIMENSIONAL MODELLING FOR LUBRICATION WITH REFERENCE TO HUMAN JOINTS

A three-dimensional numerical model on lubrication of human joints is presented in this peper. A simplified constitutive equation for viscoelasic fluid are obtained from the oldroyd's 4-constant model. A comparison between numerical result for a 'long joint' by the authors and analytic result by Manohar and Nigam [4] shows that the results agree.

基于三维Copula函数的永宁江流域洪潮遭遇分析

沿海平原洪涝灾害严重,致灾因子众多,需依据多变量水文频率分析成果进行防洪排涝规划设计。为解决沿海地区多变量遭遇问题,以永宁江流域为研究对象,采用三维非对称Gumbel-Hougaard Copula和Clayton Copula函数构建了暴雨、洪峰及潮位的三维联合分布模型,通过计算联合风险率、同现风险率、条件风险率及其重现期分析不同洪潮遭遇组合的风险,并提出了不同支流暴雨条件下的干流洪峰及潮位最可能组合方案。结果表明:三维Gumbel-Hougaard Copula函数计算的联合分布与经验分布拟合程度较高,能够明确计算出不同暴雨条件下的最可能洪峰和潮位组合,评估遭遇组合的风险,可为永宁江流域防洪排涝规划设计提供决策参考。