基于32位超高速RISC体系处理器之SoC平台的Linux2.6操作系统

本文介绍如何在兼容ARMV4指令集的32位超高速RISC处理器（FA626）所构建的SoC平台上（即FIE8180）,运用智原科技所提供的FA626-Linux开发包通过armboot装载Linux2．6操作系统。使开发人员可以在基于FIE8180 SoC的仿真平台-MediaCreative!上进行二次开发和验证设计。     

Pseudocomplemented lattice effect algebras and existence of states

We prove that in every pseudocomplemented atomic lattice effect algebra the subset of all pseudocomplements is a Boolean algebra including the set of sharp elements as a subalgebra. As an application, we show families of effect algebras for which the existence of a pseudocomplementation implies the existence of states. These states can be obtained by smearing of states existing on the Boolean algebra of sharp elements.     

白豹油田白306区块长81储层沉积微相研究

白豹油田白306区块长81储层油气富集规律复杂,动用程度低,通过岩心观察、测井资料、阴极发光和铸体薄片等分析化验方法对其沉积环境和沉积微相进行了研究.长81油层组为三角洲前缘亚相,可细分为水下分流河道、河道侧翼、河道间3个沉积微相.同时分析了长81油层组3个小层沉积微相的平面展布规律,并在此基础上研究了沉积微相对油气富...     

深埋砂岩储层长石溶孔率定量计算的新方法及应用——以鄂尔多斯盆地陇东地区长81储层为例

次生孔隙是砂岩储层中重要的油气储集空间,而长石溶蚀产生的次生孔隙(即长石溶孔)往往是最重要的次生孔隙类型之一。基于热力学原理,提出了依据溶蚀产物自生黏土矿物的含量定量计算深埋条件下长石溶蚀产生的次生孔隙率的新方法,即:钾长石次生孔隙率=0.28×高岭石含量或0.36×伊利石含量;钠长石次生孔隙率=0.10×高岭石含量或0.17×伊利石含量;钙长石次生孔隙率=0.014×高岭石含量或0.08×伊利石含量。在对鄂尔多斯盆地陇东地区长8₁储层的矿物岩石学特征进行详细研究的基础上,依据新方法对陇东地区长8₁储层深埋条件下长石溶蚀产生的次生孔隙率进行了计算,并与实测面孔率和溶蚀模拟实验结果进行了对比。结果表明,长8₁储层51块样品长石溶蚀产生的次生孔隙率的计算平均值为1.32%,与长石溶孔率的实测值(平均1.44%)比较接近;与溶蚀模拟实验产生的溶孔率相比,新方法的计算结果也是合理的。     

华庆地区长81储层微观孔隙结构特征研究

通过铸体薄片、高压压汞、核磁共振以及恒速压汞等测试化验手段,深入研究了鄂尔多斯盆地华庆地区长81储层的微观孔隙结构特征,并分析了微观孔隙结构对流体微观赋存状态及其可流动性的影响。结果表明:华庆地区长81储层微观孔隙结构类型复杂,其中粒间孔-溶蚀孔孔隙组合类型连通性较好,孔喉半径较大,可动流体饱和度高,是有利于孔隙流体渗流的优势通道。孔喉类型、孔喉连通性、孔喉半径以及黏土矿物含量综合影响着孔隙流体的赋存状态及其可流动性,其中喉道大小对储层流体的渗流能力起主要控制作用,尤其是大喉道对储层渗流能力的改善具有明显优势。     

Optimal dynamic hedging via copula-threshold-GARCH models

The contribution of this paper is twofold. First, we exploit copula methodology, with two threshold GARCH models as marginals, to construct a bivariate copula-threshold-GARCH model, simultaneously capturing asymmetric nonlinear behaviour in univariate stock returns of spot and futures markets and bivariate dependency, in a flexible manner. Two elliptical copulas (Gaussian and Student's-t) and three Archimedean copulas (Clayton, Gumbel and the Mixture of Clayton and Gumbel) are utilized. Second, we employ the presenting models to investigate the hedging performance for five East Asian spot and futures stock markets: Hong Kong, Japan, Korea, Singapore and Taiwan. Compared with conventional hedging strategies, including Engle's dynamic conditional correlation GARCH model, the results show that hedge ratios constructed by a Gaussian or Mixture copula are the best-performed in variance reduction for all markets except Japan and Singapore, and provide close to the best returns on a hedging portfolio over the sample period.     

The Efficient Computation of Certain Determinants Arising in the Treatment of Schrödinger's Equations

The solution of Schrödinger's equation leads to a high number N of independent variables. Furthermore, the restriction to (anti)symmetric functions implies some complications. We propose a sparse-grid approximation which leads to a set of non-orthogonal basis. Due to the antisymmetry, scalar products are expressed by sums of N×N-determinants. Because of the sparsity of the sparse-grid approximation, these determinants can be reduced from N×N to a much smaller size K×K. The sums over all permutations reduce to the quantities det _K (α₁,…,α _K ):=∑≤i ₁,i ₂,…,i _K ≤Ndet(a _iα ,i _β ^(αβ))_{α,β=1,…, K} to be determined, where a _i , _j ^(αβ) are certain one-dimensional scalar products involving (sparse-grid) basis functions ?α_β. We propose a method to evaluate this expression such that the asymptotics of the computational cost with respect to N is O(N ³) for fixed K, while the storage requirements increase only with the factor N ². Furthermore, we describe a parallel version (N processors) with full speed up.     

Two-step extended RKN methods for oscillatory systems

In this paper, two-step extended Runge–Kutta–Nyström-type methods for the numerical integration of perturbed oscillators are presented and studied. The new methods inherit the framework of two-step hybrid methods and are adapted to the special feature of the true flows in both the internal stages and the updates. Based on the EN-trees theory [H.L. Yang, X.Y. Wu, X. You, Y.L. Fang, Extended RKN-type methods for numerical integration of perturbed oscillators, Comput. Phys. Comm. 180 (2009) 1777–1794], order conditions for the new methods are derived via the BBT-series defined on the set BT of branches and the BBWT-series defined on the subset BWT of BT. The stability and phase properties are analyzed. Numerical experiments show the applicability and efficiency of our new methods in comparison with the well-known high quality methods proposed in the scientific literature.     

Unified approach to coefficient-based regularized regression

In this paper, we consider the coefficient-based regularized least-squares regression problem with the l^q-regularizer (1≤q≤2) and data dependent hypothesis spaces. Algorithms in data dependent hypothesis spaces perform well with the property of flexibility. We conduct a unified error analysis by a stepping stone technique. An empirical covering number technique is also employed in our study to improve sample error. Comparing with existing results, we make a few improvements: First, we obtain a significantly sharper learning rate that can be arbitrarily close to O(m⁻¹) under reasonable conditions, which is regarded as the best learning rate in learning theory. Second, our results cover the case q=1, which is novel. Finally, our results hold under very general conditions.