Effect of the growth mode on the two- to three-dimensional transition of InAs grown on vicinal GaAs(001) substrates

Some differences were observed between conventional molecular-beam epitaxy (MBE) and mobility enhanced epitaxy (MEE) of InAs on a vicinal GaAs(001) substrate in the variation of the number density N of the InAs islands, with additional InAs coverage (theta - theta(c)) after the critical InAs coverage theta(c) during the two- to three-dimensional (2D-3D) transition. For MBE the variation was consistent with the power law N(theta) (theta similar to theta(c))(alpha); while for MEE, the linear relation N(theta) proportional to (theta - theta(c)) was observed. The difference is discussed in terms of the randomness in the nucleation of the InAs islands.

on a class of pseudorandom sequences from elliptic curves over finite fields

Following the idea of Xing et al., we investigate a general method for constructing families of pseudorandom sequences with low correlation and large linear complexity from elliptic curves over finite fields in this correspondence. With the help of the tool of exponential sums on elliptic curves, we study their periods, linear complexities, linear complexity profiles, distributions of r-patterns, periodic correlation, partial period distributions, and aperiodic correlation in detail. The results show that they have nice randomness.

随机性检测参数选择研究

从统计学角度对同一个随机性检测项目中2个独立的参数所应满足的条件进行了研究,在此基础上设计了一个假设检验方法,用于检测2个参数是否满足独立的关系。以扑克检测为实例,对其参数集中的参数进行了实验研究,并对结果进行了分析。提出的方法是一个通用的方法,可以直接应用于其他带参数的检测项目的参数关系研究中,这为随机性检测中参数选择提供了一种可操作的手段。

二元推导与自相关随机性检测算法的相关性分析

随机性检测在密码学中发挥着重要的作用,目前,已有多种不同的随机性检测算法.但是,实际应用中选择所有的检测算法进行检测不现实,选择哪些算法能够使检测充分且无冗余,这需要研究检测算法之间可能存在的关系.对两种重要的随机性检测算法二元推导和自相关进行了研究.从二者的基本原理出发,对其检测的推导过程进行了分析,结合杨辉三角的性质证明了在参数k选择为2t时,二元推导与自相关是等价的.若同时进行参数为2t的二元推导检测和自相关检测则存在冗余.同时对这个结论进行了实验验证.另外,研究还发现,在参数k选择为2t-1时,二元推导检测中推导序列的每一个比特包含初始序列的所有相关比特信息.所研究工作为实际应用中随机性检测项目和检测参数的选择提供了理论的指导.

基于熵的随机性检测相关性研究

目前,存在众多的随机性检测项目,并且许多项目都带有参数.选择所有的项目进行检测不现实,因此需要研究检测项目之间的关系.从统计学角度出发,对检测项目的相关性进行研究,首先定义了检测项目之间存在的4种关系,提出了检测项目相关度的概念,然后利用熵值法对检测项目相关度进行度量,并证明了这4种关系与相关度的联系,同时给出了一种计算相关度的算法和一个基于相关度的检测项目选择策略.所研究的结果为随机性检测项目及其参数选择提供了理论依据.与此同时,利用相关度对NIST在评选AES中所采用的检测项目进行研究,发现了其中一些检测项目之间存在着依赖关系.

对三个流密码及其组件的随机性检测分析

对最近提出的用于GSM通信网络加密的流密码S1、S2、S3及其组件进行了全面深入的随机性检测分析。实际的随机性检测表明：只有s3能够满足所有被测项目的随机性要求，S1和工作在模式1下的S2则存在严重的随机性缺陷；此外，工作在模式2下的S2的随机性要优于工作在模式1下的S2的随机性。对这3个流密码的组件的随机性检测表明：LFSR-3的随机性最好，LFSR-1和LFSR-2都存在随机性缺陷。

二元推导随机性检测的优化实现

随机性检测在密码学中发挥着关键的作用。二元推导是一种重要的随机性检测算法。根据二元推导原始定义实现的算法所耗时间随参数的增大线性增长。当参数逐渐增大时,算法的实用性降低。该文从二元推导的原理出发,分析二元推导的检测过程,得出由参数确定的推导流比特与原始流相关比特的关系。利用这种关系优化了算法的实现,改进后的算法所耗时间与具体的参数有关,速度上有很大的提高。

基于模糊评价的分组密码随机性评估模型

检测评估是研究密码算法安全性的重要技术手段.随机特性是其中重要而实用的测评内容.针对密码算法的随机性,已有多种不同的检测方法,但是对繁杂的随机性检测结果,尚不存在一个完整实用的量化评估体系和模型.选择分组密码为实例,研究了对密码算法随机性的量化评估.根据分组密码的设计准则,提出一个分组密码随机性的评估指标体系,以模糊多准则决策为基础给出了一个实用的分组密码随机性评估模型.该模型采用模糊数学中的隶属度函数方法,对随机性检测结果进行模糊化处理,能够反映出随机性的连续和渐变特点,有效解决了单纯的阈值方法造成的评估信息丢失问题.该模型的优点是实现了对分组密码随机性的量化评估,为密码算法的综合评估提供基础.同时,给出了对单个指标和属性的通用的评估流程,因此,该模型也可稍加修改和扩展,应用于其他类型密码算法的随机性评估中.

A Hybrid Random Number Generator Using Single Electron Tunneling Junctions and MOS Transistors

This paper proposes a novel single electron random number generator (RNG). The generator consists of multiple tunneling junctions (MTJ) and a hybrid single electron transistor (SET)/MOS output circuit. It is an oscillator-based RNG. MTJ is used to implement a high-frequency oscillator,which uses the inherent physical randomness in tunneling events of the MTJ to achieve large frequency drift. The hybrid SET and MOS output circuit is used to amplify and buffer the output signal of the MTJ oscillator. The RNG circuit generates high-quality random digital sequences with a simple structure. The operation speed of this circuit is as high as 1GHz. The circuit also has good driven capability and low power dissipation. This novel random number generator is a promising device for future cryptographic systems and communication applications.

Efficiency Dynamics on Two Coupled Small-World Networks

We investigate the effect of clusters in complex networks on efficiency dynamics by studying a simple efficiency model in two coupled small-world networks. It is shown that the critical network randomness corresponding to transition from a stagnant phase to a growing one decreases to zero as the connection strength of clusters increases. It is also shown for fixed randomness that the state of clusters transits from a stagnant phase to a growing one as the connection strength of clusters increases. This work can be useful for understanding the critical transition appearing in many dynamic processes on the cluster networks.

黄土高原降雨空间分布的不均匀性研究

根据黄土高原13条流域的降雨资料，分三种雨型即局地强对流条件引起的小范围、短历时、高强度的局地性暴雨（A型暴雨），峰面型降雨夹有局地雷暴性质的较大范围、中历时、中强度暴雨（B型暴雨），峰面型降雨引起的大面积、长历时、低强度暴雨（C型暴雨）；选用流域面雨量离差系数Cv、流域降雨不均匀系数η和流域最大点与最小点降雨量比值系数α三种指标，分析了次降雨空间分布的不均匀性。

多接收者环境下的匿名性和密文长度缩短的匿名广播加密算法

形式化构建了在多用户环境和随机数复用多用户环境下的匿名性安全模型,并证明了其安全性;同时提出了2种针对匿名性的可复制测试.基于这些结果,构造了一个通用的密文长度缩短的匿名广播加密算法.

Influence of Inter-Fiber Spacing and Interfacial Adhesion on Failure of Multi-Fiber Model Composites: Experiment and Numerical Analysis

The uniaxial tension experiments on glass-fiber-reinforced epoxy matrix composites reveal that the fragmentations of fibers display vertically aligned fracture, clustered fracture, coordinated fracture, and random fracture with the increase of inter-fiber spacing. The finite element analysis indicates that the fragmentations of fibers displaying different phenomena are due to the stress concentration as well as the inherent randomness of fiber defects, which is the dominant factor. The experimental results show that matrices adjacent to the fiber breakpoints all exhibit birefringent-whitening patterns for the composites with different interfacial adhesion strengths. The larger the extent of the interfacial debonding, the less the domain of the birefringent-whitening patterns. The numerical analysis indicates that the orientation of the matrix adjacent to a fiber breakpoint is caused by the interfacial shear stress, resulting in the birefringent-whitening patterns. The area of shear stress concentrations decides on the domain of the birefringent-whitening patterns.

层状反倾向结构岩质边坡变形机理及稳定性研究

Toppling is a major failure model in anti-dip layered rock slopes. Because of the limited by testing means and experimental apparatus, present research on the deformation mechanism and stability analysis are mainly focus on the 2-Dimensional deformation, and the research really based on 3-Dimension is still limited. Therefore, based on the present research station, the article rely on the important hydroelectric project of typical anti-dip layered rock slopes -- The left bank slope of Long-tan hydropower-station in Guang Xi, China, and focused on the influencing factors, deformation mechanism and stability analysis of anti-dip layered rock slopes, three problems as follows are researched in this paper. (1) Deformation influencing factor analysis on ant-dip layered rock slopes Three influencing factors are included: geological factor, engineering factor and environmental factor. It is concluded that the toppling deformation of anti-dip layered rock slopes are more sensitive to geological and engineering factors, but less sensitive to environmental factor. In addition, the sensitivity of various factors to the rock toppling deformation is also arranged sequentially as follows: construction, gravitation, rainfall (underground water) and rock structure intensity, etc. (2) 3D deformation study on the anti-dip layered toppling rock slopes Used 3D Distinct Element Method (3DEC) analyzed the 3D deformation characteristic of anti-dip layered rock slops. It can be seen that the toppling characteristics are obvious when the inter-angle between slope direction and layer striking direction is under 20o, when the inter-angle is over 20o and equal or less than 40o，the toppling deformation characteristics decrease sharply with increase of inter-angle, when the inter-angle is over 40o , the slope deformation is not controlled by joints but influenced by other failure mode. Therefore, in order to quantify the toppling characteristics, a differential value of displacement vector angle between layered rock slope and block rock slope is proposed as a key index to distinguish failure model for anti-dip layered rock slopes, and it was applied to study the toppling of the rock slopes at Guangxi Long-tan hydropower station, China. The results indicated that the index was effective and instructive for analyzing the anti-dip layered rock slopes. (3) Stability analysis methods Because of the imperfection of some present slope analysis methods, based on slope failure mode and those three influencing factors, “slope stability entropy” method is defined in this paper, which makes good use of the sensitivity of relational matrix to influencing factors on slope stability and the qualification characteristics for information entropy to the irregularity of slope deformation. By this method, not only the randomness of geologic body on the base of dynamic analysis of slope failure mode is fully concerned, but also it makes the analysis time-saving and simple. Finally, the research findings were used to the engineering example successfully, and rational conclusion has been obtained.

Modular average case analysis: Language implementation and extension

Motivated by accurate average-case analysis, MOdular Quantitative Analysis (MOQA) is developed at the Centre for Efficiency Oriented Languages (CEOL). In essence, MOQA allows the programmer to determine the average running time of a broad class of programmes directly from the code in a (semi-)automated way. The MOQA approach has the property of randomness preservation which means that applying any operation to a random structure, results in an output isomorphic to one or more random structures, which is key to systematic timing. Based on original MOQA research, we discuss the design and implementation of a new domain specific scripting language based on randomness preserving operations and random structures. It is designed to facilitate compositional timing by systematically tracking the distributions of inputs and outputs. The notion of a labelled partial order (LPO) is the basic data type in the language. The programmer uses built-in MOQA operations together with restricted control flow statements to design MOQA programs. This MOQA language is formally specified both syntactically and semantically in this thesis. A practical language interpreter implementation is provided and discussed. By analysing new algorithms and data restructuring operations, we demonstrate the wide applicability of the MOQA approach. Also we extend MOQA theory to a number of other domains besides average-case analysis. We show the strong connection between MOQA and parallel computing, reversible computing and data entropy analysis.