Wave interactions and wave-structure scattering in nonlinear patterned waveguides

The nonlinear interactions between discrete optical solitons that propagate in different regimes of diffraction, and the nonlinear scattering of dispersive waves by local optical potentials, were studied experimentally. It is well known in electromagnetism that when linear coherent waves meet they interfere without interactions. Linear waves also scatter through local optical structures without exchanging any power with guided and anti-guided modes of these structures. When a focusing Kerr nonlinearity is present, linearly inhibited phenomena, which break these rules, are shown to exist. Our studies were performed with Silica glass and semiconductor AlGaAs nonlinear planar modulated waveguides, excited by ultra-short pulses in the near infrared spectral regime.     

Systems biology analysis of protein-drug interactions

Drugs induce global perturbations at the molecular machinery level because their cognate targets are involved in multiple biological functions or because of off-target effects. The analysis or the prediction of such systems level consequences of drug treatment therefore requires the application of systems biology concepts and methods. In this review, we first summarize the methods of chemical proteomics that can measure unbiased and proteome-wide drug protein target spectra, which is an obvious necessity to perform a global analysis. We then focus on the introduction of computational methods and tools to relate such target spectra to global models such as pathways and networks of protein-protein interactions, and to integrate them with existing protein functional annotations. In particular, we discuss how drug treatment can be mapped onto likely affected biological functions, how this can help identifying drug mechanisms of action, and how such mappings can be exploited to predict potential side effects and to suggest new indications for existing compounds.     

一种基于天水线检测的波浪分析方法

为了研究无人水面艇在水面上航行时所受到的波浪运动的影响,利用摄像机拍摄的水面视频图像中天水线参数的不断变化,用Radon算法检测天水线参数来判定波浪的运动状况并分析了天水线参数与波浪的关系.实验表明,该方法能够实时、较精确地检测天水线的斜率与截距的变化,为波浪的测量提供了一种新的思路.     

Structure-based prediction of MHC-peptide association: algorithm comparison and application to cancer vaccine design

Peptide vaccination for cancer immunotherapy requires identification of peptide epitopes derived from antigenic proteins associated with the tumor. Such peptides can bind to MHC proteins (MHC molecules) on the tumor-cell surface, with the potential to initiate a host immune response against the tumor. Computer prediction of peptide epitopes can be based on known motifs for peptide sequences that bind to a certain MHC molecule, on algorithms using experimental data as a training set, or on structure-based approaches. We have developed an algorithm, which we refer to as PePSSI, for flexible structural prediction of peptide binding to MHC molecules. Here, we have applied this algorithm to identify peptide epitopes (of nine amino acids, the common length) from the sequence of the cancer-testis antigen KU-CT-1, based on the potential of these peptides to bind to the human MHC molecule HLA-A2. We compared the PePSSI predictions with those of other algorithms and found that several peptides predicted to be strong HLA-A2 binders by PePSSI were similarly predicted by another structure-based algorithm, PREDEP. The results show how structure-based prediction can identify potential peptide epitopes without known binding motifs and suggest that side chain orientation in binding peptides may be obtained using PePSSI.     

Triangular function analysis

This paper concerns triangular function analysis including triangular function series and triangular function transformation, which is very similar to Fourier analysis based on sine and cosine functions. Besides sine-cosine functions, triangular functions are frequently-used and easily-generated periodic functions in electronics as well, so it is an urgent practical problem to study the basic properties of triangular functions and the fundamental theory of triangular function analysis. We show that triangular functions and sine-cosine functions not only have the similar graphs, but also possess similar analysis properties. Any continuous periodic function may be approximated uniformly by linear combinations of triangular functions as well as trigonometric functions, and every function f(x) ϵ L²[−π,π] has a triangular function series as well as a Fourier series. Since the triangular functions are nonorthogonal in L²[−π,π], the orthonormalization is discussed so that a function f(x) ϵ L²[−π,π] can be approximated best by a superposition of given finite triangular functions. Finally, we introduce the theory of the triangular function transformation in L²(−∞, ∞), which has a close relation with Fourier transformation. These results form the theoretical foundation of the technique of triangular function analysis in modern electronics.     

WB法在多域声学分析中的应用

描述了振动声系统建模技术的基本概念.根据域分解的连续性条件,讨论了界面的压力和速度连续以及阻抗连续,应用加权余量法推导了两者的耦合模型.并用LMS/SYSNOISERev5.5进行了有限元数值模拟,计算结果与有限元结果符合得较好.通过比较两种连续性条件,发现前者更适合较小的计算模型而后者更适合较大的计算模型.最后对域分解提出了几个简单优化原则.     

CIMS制造单元的哲学剖析和交互分析

根据对组成企业的各种制造单元进行哲学分析、解剖,可以组成由1个或多个"信息处理子系统"紧密相连的"信息仓库".这样的哲学解剖有助于形成清晰、简单的CIMS构架和概念,为CIMS的研究推进、实施找到最佳的技术路线图.     

Automated system analysis of plates with edge beam interactions

An analysis of rectangular plate with monolithically cast spandrel beams along four boundaries is presented considering torsional resistance offered by such beams. The effects of twist and deflection of edge beams have been considered in the interaction. Other plate boundaries may be treated by suitably assigning different values of stiffnesses of the orthogonal spandrels. A computer programme has been developed and is presented.     

Localization of function via lesion analysis

This article presents a general approach for employing lesion analysis to address the fundamental challenge of localizing functions in a neural system. We describe functional contribution analysis (FCA), which assigns contribution values to the elements of the network such that the ability to predict the network's performance in response to multilesions is maximized. The approach is thoroughly examined on neurocontroller networks of evolved autonomous agents. The FCA portrays a stable set of neuronal contributions and accurate multilesion predictions that are significantly better than those obtained based on the classical single lesion approach. It is also used for a detailed synaptic analysis of the neurocontroller connectivity network, delineating its main functional backbone. The FCA provides a quantitative way of measuring how the network functions are localized and distributed among its elements. Our results question the adequacy of the classical single lesion analysis traditionally used in neuroscience and show that using lesioning experiments to decipher even simple neuronal systems requires a more rigorous multilesion analysis.     

Linear feedback decoupling--Transfer function analysis

The problem of linear system decoupling is examined based on recent results on linear feedback. New insight is obtained, through which resolution of the decoupliug problem is accomplished by calculations, performed directly on the given transfer matrix. Computation of the decoupling compensators follows by easy constructions. The problem of feedback block decoupling with internal stability, is also formulated and resolved.     

Finite element analysis of air-sheet interactions and flutter suppression devices

A computational procedure is developed to analyze the vibration of an axially moving web, controlled through self-acting air bearings. The Galerkin finite element method is employed for the spatial discretization of both the moving web and thin air layers. The predictor-corrector method is also implemented along with the Newton-Raphson iteration for the time integration. It is shown that the pressurized air layers between the moving web and bearing surfaces can significantly reduce the transverse web deflection and provide a means of effective stabilizing. Some comparisons with results obtained using ADINA are presented. The computational algorithm introduced in this paper can be used to optimize both bearing-geometry designs and spatial locations.     

Intmol: Minimization of long range interactions as a function of intermolecular angular parameters

This FORTRAN IV program computes the long range intermolecular energy and its components between two polyelectronic systems and minimizes the intermolecular parameters via the simplex method.The annalytical function of the energy is constructed from the perturbative Rayleigh-Schroödinger theory (2nd order) with the Hamiltonian interaction as a multipole expansion (till r⁻⁷).     

A knowledge-based analysis of global function computation

Consider a distributed system N in which each agent has an input value and each communication link has a weight. Given a global function, that is, a function f whose value depends on the whole network, the goal is for every agent to eventually compute the value f (N). We call this problem global function computation. Various solutions for instances of this problem, such as Boolean function computation, leader election, (minimum) spanning tree construction, and network determination, have been proposed, each under particular assumptions about what processors know about the system and how this knowledge can be acquired. We give a necessary and sufficient condition for the problem to be solvable that generalizes a number of well-known results (Attyia et al. in J ACM 35(4):845–875, 1988; Yamashita and Kameda in IEEE Trans Parallel Distrib Syst 7(1):69–89, 1996; Yamashita and Kameda in IEEE Trans Parallel Distrib Syst 10(9):878–887, 1999). We then provide a knowledge-based (kb) program (like those of Fagin et al. (Reasoning about knowledge, MIT Press, Cambridge, 1995, Distrib Comput 10(4):199–225, 1997)) that solves global function computation whenever possible. Finally, we improve the message overhead inherent in our initial kb program by giving a counterfactual belief-based program (Halpern and Moses in Distrib Comput 17(2):91–106, 2004) that also solves the global function computation whenever possible, but where agents send messages only when they believe it is necessary to do so. The latter program is shown to be implemented by a number of well-known algorithms for solving leader election.     

Performance analysis of a packet assembly function

A general packet assembly function in which the bundle is completed whenever any one of a number of conditions is satisfied is analyzed. These conditions subsume those most commonly found in practice. The analysis yields the distribution of bundle size. In several useful cases, closed form expressions for the mean bundle size is obtained     

半监督多标记学习的基因功能分析

传统的机器学习主要解决单标记学习,即一个样本仅有一个标记.在生物信息学中,一个基因通常至少具有一个功能,即至少具有一个标记,与传统学习方法相比,多标记学习能更有效地识别生物相关基因组的功能.目前的研究主要集中在监督多标记学习算法.然而,研究半监督多标记学习算法,从已标记和未标记的基因表达数据中学习,仍然是未解决问题.提出一种有效的基因功能分析的半监督多标记学习算法SML_SVM.首先,SML_SVM根据PT4方法,将半监督多标记学习问题转化为半监督单标记学习问题,然后根据最大后验概率原则(MAP)和K近邻方法估计未标记样本的标记,最后,用SVM求解单标记学习问题.在yeast基因数据和genbase蛋白质数据上的实验表明,SML_SVM性能比基于PT4方法的MLSVM和自训练MLSVM更优.     

Perturbation analysis of a maximum-likelihood objective function

In this technical note we study the statistics of a maximum-likelihood (ML) objective function-one that is frequently used in system identification-using perturbation analysis. We obtain first-order approximations for both the mean and variance of the objective function.     

Dirichlet multiplication and easily-generated function analysis

Following sine-cosine functions, sawtooth wave, square wave, triangular wave, and trapezoidal wave become new easily-generated periodic functions. Can a signal be considered to be a superposition of easily-generated functions with different frequencies? In order to answer this question, we generalize Fourier analysis to easily-generated function analysis including easily-generated functions series, easily-generated function transformation, and discrete transformation for easily-generated functions. The results in this paper make it possible to represent a signal by use of easily-generated functions. A lot of techniques based on sine-cosine functions can be translated into techniques based on easily-generated functions. Because Dirichlet multiplication in number theory plays a basic role in easily-generated function analysis, we briefly introduce this concept and present a related formula. The main contents of this paper include Dirichlet multiplication and a related formula, relations between basic waveforms in electronics, easily-generated function series, easily-generated function transformation, discrete transformation for easily-generated functions, and techniques of easily-generated function analysis.     

Harmonic analysis and Boolean function complexity

Any attempt to find connections between mathematical properties of functions and their computational complexity has strong relevance to theory of computation. Indeed, there is the hope that developing new mathematical techniques could lead to discovering properties that might be responsible for lower bounds. The current situation is that none of the known techniques has yet led to lower bounds in general models of computation. The subject of this paper is related to the above general arguments. More precisely, we study the Fourier Transform of Boolean functions, and analyze the extent to which mathematical techniques from the area of abstract harmonic analysis can provide some insight in our current understanding of Boolean circuit complexity. In addition to presenting new applications of Fourier analysis to circuit complexity, we give the necessary background on abstract harmonic analysis and review some work on the subject. Received: March 1998 / Accepted: May 1998     

Geographical data analysis via mountain function

In this paper we report an application of fuzzy arithmetic to the reduction of geographical data sets. The proposed technique builds a “summary” of the data within a given subregion in the form of a suitable fuzzy real number. The membership function of this number is obtained with a procedure that resembles the mountain function method introduced by Yager and Filev [IEEE Trans Syst. Man, Cybern Aug. 1994, 24(8), 1279–1284]. The proposed approach is computationally efficient, theoretically sound, and quite robust in terms of experimental noise. In addition, it does not require any statistical assumption about the distribution of the data. The summarization technique reported has been successfully used in modeling a real terrain from collections of sparse elevation data on a terrain. Comparisons with similar approaches are also reported. ©1999 John Wiley & Sons, Inc.     

Failure analysis of engineering systems with preventive maintenance and failure interactions

Optimal operation and maintenance of engineering systems heavily rely on the accurate prediction of their failures. Most engineering systems, especially mechanical systems, are susceptible to failure interactions. These failure interactions can be estimated for repairable engineering systems when determining optimal maintenance strategies for these systems. An extended Split System Approach is developed in this paper. The technique is based on the Split System Approach and a model for interactive failures. The approach was applied to simulated data. The results indicate that failure interactions will increase the hazard of newly repaired components. The intervals of preventive maintenance actions of a system with failure interactions, will become shorter compared with scenarios where failure interactions do not exist.