一种AES算法中S盒和逆S盒替换的表达式方法

S盒替换与逆S盒替换是AES算法性能的主要瓶颈,它直接影响AES芯片的运算速度.在优化Q-M化简法基础上,提出了一种实现AES算法中S盒替换和逆S盒替换的表达式方法,这种表达式方法相比于普遍使用的查表法,其延时减小了8.5%,面积减小了27.4%,功耗减小了17%.

基于EDA的并行基因表达式程序设计方法

将分布评估算法(EDA)引入基因表达式程序设计方法中,以提高其收敛速度。为减少计算时间,提高解质量,在加入EDA的基因表达式程序设计方法的基础上设计了同步和异步分布式并行算法,同时比较了同步和异步并行算法。实验结果表明,并行算法提高了运行速度和解质量。最后通过实验分析了迁移代频对并行算法的影响。

面向吨钢综合能耗预测的基因表达式编程方法

钢铁是国民经济的基础用材,我国吨钢综合能耗仍与发达国家存在较大差距。准确预测吨钢综合能耗,有利于制定节能方针和减少能源浪费。根据我国钢铁工业吨钢综合能耗历史数据,利用基因表达式编程(Gene Expression Programming,GEP)算法,构建吨钢综合能耗预测模型。首先,将吨钢综合能耗进行等间隔时序化、函数表达式符号化,在终端集中添加常量数组;其次,利用选择操作、变异操作、重组操作和移项操作进行遗传操作,获得吨钢综合能耗预测模型。结果表明,基于GEP的预测值与实测值平均误差为0.31,该模型较准确地预测我国钢铁工业吨钢综合能耗发展趋势。

基于多层染色体基因表达式程序设计的混合遗传进化算法

提出了一种新的基于多层染色体基因表达式程序设计的混合遗传进化算法:M-GEP-GA。该算法在基因表达式程序设计的基础上引入了多层染色体,并采用与遗传算法相嵌套的二级演化方法。利用染色体构建的层次调用模型对个体进行表达,用基因表达式程序设计方法优化模型结构,遗传算法优化模型参数。通过对三组数据测试,与用单基因GEP、多基因GEP的结果进行对比,实验表明改进的算法具有更强的寻优能力和更高的稳定性。

基于错误的表达式测试研究

由于表达式LRAUC错误对程序中各类错误的广泛覆盖性,本文以表达式 LRAUC错误为检测对象,研究了表达式测试方法。本文首先阐述了当前表达式测试方法理论研究的局限性;然后,为了解决处于程序上下文中的一般表达式测试问题,研究了表达式错误/失效过程,并对影响该过程复杂性的因素进行了简化,提出了表达式LRAUC单路测试方法;阐述了此方法的具体实现,给出了表达式LRAUC单路测试约束集构造算法。

基于启发式和基因表达式编程法预测磺胺类药物的pKa值

应用启发式算法(HM)和基因表达式编程方法(GEP)建立了31种磺胺类药物pKa值的定量构效关系模型。用ChemOffice2004软件进行化合物的结构输入,利用半经验方法进行分子结构优化,在CODDESA软件中计算出组成、拓扑、几何、电子和量子化学参数,并用启发式方法筛选出4个相关参数,在此基础上运用多元线性回归和基因表达式编程方法建立QSPR模型。两种方法均得到了较好的结果,HM和GEP的的相关系数分别为0.90和0.95。两种QSPR模型在新药研究中可以预测化合物的pKa值,将为新药研究提供理论指导。

Solution of Travelling Wave for Nonlinear Disturbed Long-Wave System

The approximate expressions of the travelling wave solutions for a class of nonlinear disturbed long-wave system are constructed using the generalized variational iteration method.

PPP： Towards Parallel Protocol Parsing

Network traffic classification plays an important role and benefits many practical network issues,such as Next-Generation Firewalls(NGFW),Quality of Service(QoS),etc.To face the challenges brought by modern high speed networks,many inspiring solutions have been proposed to enhance traffic classification.However,taking many factual network conditions into consideration,e.g.,diversity of network environment,traffic classification methods based on Deep Inspection(DI) technique still occupy the top spot in actual usage.In this paper,we propose a novel classification system employing Deep Inspection technique,aiming to achieve Parallel Protocol Parsing(PPP).We start with an analytical study of the existing popular DI methods,namely,regular expression based methods and protocol parsing based methods.Motivated by their relative merits,we extend traditional protocol parsers to achieve parallel matching,which is the representative merit of regular expression.We build a prototype system,and evaluation results show that significant improvement has been made comparing to existing open-source solutions in terms of both memory usage and throughput.

Approximate Analytic Solution of Solitary Wave for a Class of Nonlinear Disturbed Long-Wave System

In this paper, the approximate expressions of the solitary wave solutions for a class of nonlinear disturbed long-wave system are constructed using the homotopie mapping method.

Speech Acts and the Truth-Conditional Analysis of Temporal Expressions

Truth-conditional approaches to tense and other temporal expressions have relied on both linear-time and branching-time frameworks as needed. However, in the truth-conditional enterprise generally, it seems advisable to settle on a single depiction of time. Linear time is the simpler framework, and branching time faces difficulties for which we seem to have no immediate solutions. This paper defends the applicability of linear time. The apparent branching of time results from the use of speech acts other than factual assertion. Truth in correspondence with specific conditions is relevant when making factual assertions. However, we are in no epistemic position to advance factual assertions about the future, but only suppositions and predictions. For these, the truth-conditional content is employed differently. For suppositions and predictions, we only ＂pretend＂ to reference things, to assert facts, and to accept them as ＂true.＂ There is a wide array of alternatives about what we can suppose or predict, giving the impression of branching options. Suppositions and predictions under active consideration are often marked with present tense, whereas those that are inactive （not presently under active consideration but nonetheless relevant） are often marked with past tense.

ZM-66, a New Podophyllotoxin Derivative Inhibits Proliferation and Induces Apoptosis in K562/ADM Cells

Objective To investigate the anti-tumor effect of ZM-66 on multidrug-resistant leukemic cell line K562/ADM. Methods The K562/ADM cells were treated with varying concentrations （0, 1, 2, 4×10^-3 mmol/L） of ZM-66 or etoposide for 24 hours. The proliferation was detected by Sulforhodamine B Sodium Salt （SRB） assay and apoptosis was detected by flow cytometry analysis and fluorescent staining. In addition, the expression levels of p53 and bax genes in K562/ADM cells were detected by RT-PCR analysis. The level of P-glycoprotein （P-gp）, P53 and Bax protein in K562/ADM cells were detected by Western blot assay. Results SRB assay demonstrated that etoposide had little inhibitory effect on K562/ADM cells, whereas ZM-66 （1, 2, 4×10^-3 mmol/L） had significantly inhibitory effect on K562/ADM cells （all P〈0.01）. The acridine orange/propidium iodide dual staining showed that there were typical condensation of chromatin and nuclear fragmentation nuclei with red color in ZM-66 treated cells. Flow cytometric analysis showed that there was a significantly increase of apoptotic cells i~ K562/KDM cells after treated with ZM-66. RT-PCR showed that the p53 and bax mRNA expression levels in K562/ADM cells treated with ZM-66 at 1, 2, 4×10^-3 mmol/L were higher than those in the cell without treatment. Western blot showed that the P53 and Bax protein expression levels in K562/ADM cells treated with ZM-66 at 2, 4x 10 s mmol/L were higher than those in the cell without treatment. But the P-gp protein expression level in K562/ADM cells treated with ZM-66 at 2, 4×10^-3 mmol/L was gradually lower than those in the cell without treatment. Conclusion ZM-66 is able to induce cell death by apoptosis in vitro, as a result of the reverse of theapoptosis resistance in drug-resistant K562/ADM cells by modulating expression of key factors associated with apoptosis induction.

The Transformation of Thought Patterns in English-Chinese Translation

Translation involves not only formal transformation of two languages concerned, but also conversion of thought patterns. The oriental thought pattern is considered ＂concrete＂, ＂man-centered＂, and ＂ordinal＂; while the western one is believed to be ＂abstract＂, ＂object-centered＂, and ＂conversed＂. These are the decisive factors for the existence of the differences in language expressing. It is of great importance to study these differences and make some adjustments in terms of syntactic structure, semantic focus, and time order so as to achieve a natural rending.

Solutions of the Schrdinger Equation for PT-Symmetric Coupled Quintic Potentials in Two Dimensions

This paper deals with the solutions of time independent Schrodinger wave equation for a two-dimensional PT-symmetric coupled quintic potential in its most general form. Employing wavefunction ansatz method, general analytic expressions for eigenvalues and eigenfunctions for first four states are obtained. Solutions of a particular case are also presented.

Settlement modeling in central core rockfill dams by new approaches

One of the most important reasons for the serious damage of embankment dams is their impermissible settlement.Therefore,it can be stated that the prediction of settlement of a dam is of paramount importance.This study aims to apply intelligent methods to predict settlement after constructing central core rockfill dams.Attempts were made in this research to prepare models for predicting settlement of these dams using the information of 35 different central core rockfill dams all over the world and Adaptive Neuro-Fuzzy Interface System(ANFIS) and Gene Expression Programming(GEP) methods.Parameters such as height of dam(H) and compressibility index(Ci) were considered as the input parameters.Finally,a form was designed using visual basic software for predicting dam settlement.With respect to the accuracy of the results obtained from the intelligent methods,they can be recommended for predicting settlement after constructing central core rockfill dams for the future plans.

Modeling of shear wave velocity in limestone by soft computing methods

The main purpose of current study is development of an intelligent model for estimation of shear wave velocity in limestone. Shear wave velocity is one of the most important rock dynamic parameters. Because rocks have complicated structure, direct determination of this parameter takes time, spends expenditure and requires accuracy. On the other hand, there are no precise equations for indirect determination of it; most of them are empirical. By using data sets of several dams of Iran and neuro-genetic, adaptive neuro-fuzzy inference system （ANFIS）, and gene expression programming （GEP） methods, models are rendered for prediction of shear wave velocity in limestone. Totally, 516 sets of data has been used for modeling. From these data sets, 413 ones have been utilized for building the intelligent model, and 103 have been used for their performance evaluation. Compressional wave velocity （Vp）, density （7） and porosity （.n）, were considered as input parameters. Respectively, the amount of R for neuro-genetic and ANFIS networks was 0.959 and 0.963. In addition, by using GEP, three equations are obtained; the best of them has 0.958R. ANFIS shows the best prediction results, whereas GEP indicates proper equations. Because these equations have accuracy, they could be used for prediction of shear wave velocity for limestone in the future.

Three Semi-empirical Analytic Expressions for the Radial Distribution Function of Hard Spheres

Three simple analytic expressions satisfying the limitation condition at low densities for the radial distribution function of hard spheres are developed in terms of a polynomial expansion of nonlinear base functions and the Carnahan-Starling equation of state. The simplicity and precision for these expressions are superior to the well-known Percus Yevick expression. The coefficients contained in these expressions have been determined by fitting the Monte Carlo data for the first coordination shell, and by fitting both the Monte Carlo data and the numerical results of PercusYevick expression for the second coordination shell. One of the expressions has been applied to develop an analytic equation of state for the square-well fluid, and the numerical results are in good agreement with the computer simulation data.

Predicting crest settlement in concrete face rockfill dams using adaptive neuro-fuzzy inference system and gene expression programming intelligent methods

This paper deals with the estimation of crest settlement in a concrete face rockfill dam （CFRD）, utilizing intelligent methods. Following completion of dam construction, considerable movements of the crest and the body of the dam can develop during the first impoundment of the reservoir. Although there is vast experience worldwide in CFRD design and construction, few accurate experimental relationships are available to predict the settlement in CFRD. The goal is to advance the development of intelligent methods to estimate the subsidence of dams at the design stage. Due to dam zonifieation and uncertainties in material properties, these methods appear to be the appropriate choice. In this study, the crest settlement behavior of CFRDs is analyzed based on compiled data of 24 CFRDs constructed during recent years around the world, along with the utilization of gene ex- pression programming （GEP） and adaptive neuro-fuzzy inference system （ANFIS） methods. In addition, dam height （H）, shape factor （St）, and time （t, time after first operation） are also assessed, being considered major factors in predicting the settlement behavior. From the relationships proposed, the values ofR2 for both equations of GEP （with and without constant） were 0.9603 and 0.9734, and for the three approaches of ANFIS （grid partitioning （GP）, subtractive clustering method （SCM）, and fuzzy c-means clustering （FCM）） were 0.9693, 0.8657, and 0.8848, respectively. The obtained results indicate that the overall behavior evaluated by this approach is consistent with the measured data of other CFRDs.

Solution to the MHD flow over a non-linear stretching sheet by homotopy perturbation method

In this study,by means of homotopy perturbation method(HPM) an approximate solution of the magnetohydrodynamic(MHD) boundary layer flow is obtained.The main feature of the HPM is that it deforms a difficult problem into a set of problems which are easier to solve.HPM produces analytical expressions for the solution to nonlinear differential equations.The obtained analytic solution is in the form of an infinite power series.In this work,the analytical solution obtained by using only two terms from HPM solution.Comparisons with the exact solution and the solution obtained by the Pade approximants and shooting method show the high accuracy,simplicity and efficiency of this method.

Dynamics of Nonautonomous Dark Solitons

We solve a generalized nonautonomous nonlinear Schrodinger equation analytically by performing the Hirota＇s bilinearization method. The precise expression of a parameter e, which provides a compatibility condition and dark soliton management, is obtained. Comparing with nonautonomous bright soliton, we find that the gain parameter affects both the background and the valley of dark soliton （∈2 ≠ 1） while it has no effects on the wave central position. Moreover, the precise expressions of a nonautonomous black soliton＇s （∈2 = 1） width, background and the trajectory of its wave central, which describe the dynamic behavior of soliton＇s evolution, are investigated analytically. Finally, the stability of the dark soliton solution is demonstrated numerically. It is shown that the main characteristic of the dark solitons keeps unchanged under a slight perturbation in the compatibility condition.

A sixth-order wavelet integral collocation method for solving nonlinear boundary value problems in three dimensions

A sixth-order accurate wavelet integral collocation method is proposed for solving high-order nonlinear boundary value problems in three dimensions.In order to realize the establishment of this method,an approximate expression of multiple integrals of a continuous function defined in a three-dimensional bounded domain is proposed by combining wavelet expansion and Lagrange boundary extension.Through applying such an integral technique,during the solution of nonlinear partial differential equations,the unknown function and its lower-order partial derivatives can be approximately expressed by its highest-order partial derivative values at nodes.A set of nonlinear algebraic equations with respect to these nodal values of the highest-order partial derivative is obtained using a collocation method.The validation and convergence of the proposed method are examined through several benchmark problems,including the eighth-order two-dimensional and fourth-order three-dimensional boundary value problems and the large deflection bending of von Karman plates.Results demonstrate that the present method has higher accuracy and convergence rate than most existing numerical methods.Most importantly,the convergence rate of the proposed method seems to be independent of the order of the differential equations,because it is always sixth order for second-,fourth-,sixth-,and even eighth-order problems.