基于Agent的Web网信息传播仿真模型

web网上的信息传播是社会复杂网络与信息复杂网络相互作用的结果。分析了web网和网民社会关系的结构特征,定义了信息价值时变函数,将网民基本行为归纳为读、写、评、传四类。基于多Agent建模方法建立web网信息传播仿真模型,用BA算法生成虚拟信息环境,采用WS模型刻画虚拟社会关系;定义了网民Agent的属性和行为规则,以及网民和网站的交互规则。设计了相关算法,实现了仿真模型,仿真结果表明该模型能够较好地模拟常态下的网络信息传播规律。

Abstract：

Information diffusion on the worldwide web results from the interactions between social network and information network.The structural characteristic of Worldwide Web and users＇ social network was analyzed,the time-dependent function of information value was defined,and users＇ basic behavior was classified into read,write,review and propagate.An agent-based model of information diffusion on the web was built,the virtual information environment was generated by BA algorithm,and the virtual social network was depicted with WS algorithm.The property of agents,the behavior rules of users,and the interaction rules between user and web site were described.All the related algorithms were designed and the simulation model was implemented.The results show that some information diffusion rules in normal situation can be reproduced.     

Research of improving the dynamic scheduling algorithm in the CAN bus control networks

Currently, the article analyzes the CAN bus＇s rule of priority＇s arbitration bit by bit without destroy. It elicits the conclusion that if static priority based on the affirmatory system model is used, the lower priority＇s messages will be delayed considerably more, even some data will be lost when the bus＇s bandwidth is widely used. The scheduling cannot be modified neither during the system when static priority is used. The dynamic priority promoting method and the math model of SQSA and SQMA are presented; it analyzes the model＇s rate of taking in and sending out in large quantities, the largest delay, the problems and solutions when using SQMA. In the end, it is confirmed that the method of improving dynamic priority has good performances on the network rate of taking in and sending out in large quantities, the average delay, and the rate of network usage by emulational experiments.     

基于Dymola的液压系统热力学模块化建模与仿真

以模块化建模方法为指导,提出了液压系统的热力学模块化建模方法。将液压元件工作机理分为容积型和阻尼型,建立容积型模块和阻尼型模块模型,由容积型模块和阻尼型模块单独或组合建立液压元件的模块化模型。采用Dymola对所建立的各元件模型进行仿真实现,建立了温度仿真模块库-ThermalHydraulic,可以实现面向液压原理图的可视化温度仿真。对模块库进行测试,验证了建模和仿真实现的可行性。

Abstract：

According to the modular modeling method,a thermal-hydraulic modular modeling method of hydraulic system was presented. Basic operating principles of all hydraulic components were divided into two types：volume and resistance. Volume model and resistance model were developed to represent the volume and resistance characteristic of hydraulic component. Component＇s modular model was established by signal or both of volume model and resistance model. Then,the hydraulic system temperature simulation modular library-Thermal Hydraulic was established by Dymola software,and the library could establish system model conveniently by visual modeling style based on hydraulic principle figure. At the last,the system test was made to evaluate the feasibility of modeling and simulation.     

面向组件的仿真系统构建方法研究

随着软件组件技术的不断发展,基于组件的软件开发方法在仿真领域逐渐被接受,特别是基于分布式的仿真软件开发。SISO（仿真互操作标准组织）提出的BOM（基本对象模型）通过标准化规范描述面向组件的仿真模型,为构建具有可扩展、可组合和可互操作的仿真系统提供了面向组件的实现技术。首先,描述BOM的模板结构及其体系结构,设计基于BOM的仿真模型组件结构,分析这种结构的仿真模型组件间的互操作性;接着从概念层次、联邦成员层次和联邦层次三个不同层次提出面向组件的仿真系统构建方法;最后讨论一种通用的仿真运行框架,通过组合不同的仿真模型组件实现仿真系统的快速构建。

Abstract：

With the development of the software component technique, the components based software development method is accepted in the simulation domain and specifically in the distributed simulation’s software development. The standard of Base Object Model （BOM） developed by SISO （Simulation Interoperability and Standard Organization） is the component-oriented specification of simulation models which gives a component-oriented technique to construct extensible composable and interoperable simulation systems. Firstly, the template and architecture of BOM were described based on which the structure of simulation model components were designed and the interoperation between them were analyzed; Secondly, the processes for constructing simulation systems were argued from the concept level and the federate level to the federation level; Lastly, by composing various of simulation model components, the general simulation running framework which was argued provided component-oriented capabilities to rapidly building simulation systems.     

System of developing scale modeling and simulation for URAV

The unmanned reconnaissance aerial vehicle （URAV） plays an important role in battlefield monitoring and information acquiring because of its advantage of zero casualties, and has thus attracted considerable attention of the world. The URAV was developed rapidly in our country, however, no scientific assessment methods have yet been provided owing to different fight requirements of armed forces. Considering the demand of the missile artillery on the martial information, the model of information requirement of combat force, the reconnaissance ability of URAV, the survivability of URAV, and the task reliability of URAV were constructed, respectively. By synthesizing the mathematic models above, the model of developing demand was constructed on the URAV equipment. It simulated and calculated some URAV equipment developing scales, and explored a way of settling the problem of URAV equipment developing demand.     

Cluster-based regularized sliced inverse regression for forecasting macroeconomic variables

This paper concerns the dimension reduction in regression for large data set. The authors introduce a new method based on the sliced inverse regression approach, cMled cluster-based regularized sliced inverse regression. The proposed method not only keeps the merit of considering both response and predictors＇ information, but also enhances the capability of handling highly correlated variables. It is justified under certain linearity conditions. An empirical application on a macroeconomic data set shows that the proposed method has outperformed the dynamic factor model and other shrinkage methods.     

基于智能粒子群优化算法的人员疏散问题研究

针对建筑物内发生火灾时人员疏散的逃逸行为进行了研究,将智能粒子群优化算法应用在人员逃逸的过程中,提出了一种智能粒子群逃逸模型。将行人群比拟为粒子群,并将粒子赋予一定的维能力,此时的智能粒子将会具有类似行人的一些特征如行为特征和心理特征。智能粒子在受灾害模型与自身思维特征模型的影响下,确定其逃逸的速度包括速度的大小和方向,然后改变自己目前的位置。在建模的过程中,还考虑了智能粒子间的碰撞及建筑物内诱导信息的作用。最后通过应用智能粒子群优化算法对某一建筑物内发生火灾时人员逃逸行为的二维仿真实验来验证模型的有效性及算法的可行性。

Abstract：

The escape behavior of people’s evacuating in the fire disaster was researched.The Intelligent Particle Swarm Optimization （IPSO） was applied in the processing of escaping.A novel IPSO escape model was proposed.The pedestrians were assimilated as the particles.All particles were endowed with thoughts like human being.These intelligent particles will have some characteristic such as behavior and psychology characteristic at present.Their velocity included the direction and the magnitude under the influence of the disaster model and thinking characteristic model was determined.Then the particles positions were changed.The collision of particles and the effect of elicitation information in building were also considered.Most importantly,the simulated results demonstrate that method is feasible and efficient to simulate the escape behavior in fire disaster,especially to drilling.     

Novel sensor selection strategy for LPI based on an improved IMMPF tracking method

Sensor platforms with active sensing equipment such as radar may betray their existence, by emitting energy that will be intercepted by enemy surveillance sensors. The radar with less emission has more excellent performance of the low probability of intercept（LPI）. In order to reduce the emission times of the radar, a novel sensor selection strategy based on an improved interacting multiple model particle filter（IMMPF） tracking method is presented. Firstly the IMMPF tracking method is improved by increasing the weight of the particle which is close to the system state and updating the model probability of every particle. Then a sensor selection approach for LPI takes use of both the target＇s maneuverability and the state＇s uncertainty to decide the radar＇s radiation time. The radar will work only when the target＇s maneuverability and the state＇s uncertainty exceed the control capability of the passive sensors. Tracking accuracy and LPI performance are demonstrated in the Monte Carlo simulations.     

LRE试验台加注系统故障建模与仿真分析

在对液体火箭发动机试验台推进剂加注系统进行结构分析的基础上,对加注系统进行模块化分解,建立其工作过程模型,分析了动态系统中故障注入的方式,对加注系统的两种典型故障进行了故障建模与仿真分析,仿真结果很好地描述了故障状态下加注系统的工作性能,通过分析仿真结果能进一步丰富和完善试验台故障知识库。

Abstract：

Based on the structural analysis for LRE test-bed propellant filling system. The filling system was modularized and its working model was built. The method of injecting fault was analyzed. Two typical fault modes were injected into model and the simulation results were analyzed. The results described preferably filling system＇s working capability in fault condition. The simulation results and analysis can also be used to enrich and perfect the fault knowledge base of test-bed.     

Single channel signal component separation using Bayesian estimation

A Bayesian estimation method to separate multicomponent signals with single channel observation is presented in this paper. By using the basis function projection, the component separation becomes a problem of limited parameter estimation. Then, a Bayesian model for estimating parameters is set up. The reversible jump MCMC （Monte Carlo Markov Chain） algorithmis adopted to perform the Bayesian computation. The method can jointly estimate the parameters of each component and the component number. Simulation results demonstrate that the method has low SNR threshold and better performance.     

一种支持多用户QoS的跨层资源分配策略

提出了一种多用户OFDM系统中支持QoS的跨层资源分配策略。在MAC层采用有限长用户缓存模型,推导了丢包率要求引起的用户速率限制条件,将其作为跨层信息指导物理层资源分配过程。根据等待时延对用户进行分级,在保证所有用户QoS的前提下为高级用户优先分配子载波和功率。仿真表明,在报文到达率较高的情况下该策略既保证了吞吐量,又降低了系统丢包率。     

一种基于场景建模的个性化健康提醒方法

随着互联网、物联网技术的不断发展,智能健康管理方法被越来越多的用户推崇和使用.在智能健康管理过程中,依据用户个人状态和周围环境信息,智能地生成与之相符的健康管理提醒,将极大地提升健康提醒与用户之间的匹配度,实现全景式、个性化的健康管理.提出一种将用户个人状态和周围环境抽象为用户场景模型,建立场景库和健康管理规则库,实现...     

飞机液压系统的压力脉冲试验仿真研究

液压系统的压力脉冲直接影响到液压元件的使用期限，对飞机液压系统的可靠性带来严重威胁。飞机液压系统压力脉冲试验是产生压力瞬态脉冲，考核液压元件寿命的重要装置。为了深入研究压力脉冲的形成与控制，论文应用特征线法建立了管内流体的数学模型，并针对正弦波与梯形波两种试验波形，根据管内流体的数学模型和一系列管路的耦合边界方程建立了飞机液压系统压力脉冲试验装王的数学模型．通过对真实系统的仿真试验表明，该模型较真实的反映了实际系统的物理特性，仿真结果准确、可信。     

广播星历等效伪距误差在中国区域的建模分析

在卫星导航系统服务区域内,由广播星历产生的等效伪距误差随用户位置的改变发生变化。将服务区域内用户的位置在切平面上投影,可以对服务区域内用户的星历等效伪距误差的特性分析加以简化。通过对GEO、MEO和IGSO三种导航卫星的分析,中国区域内的星历等效伪距误差可以用一个平面方程进行表示。研究结果对星历等效伪距误差模型及其改正方法的建立具有一定的参考价值。     

基于微多普勒估计进动锥体目标特征参数

锥体目标时频分布是目标的微动及结构信息的联合表征,针对此提出了一种利用微多普勒估计进动锥体目标特征参数的方法。首先分析了进动锥体目标散射源微多普勒的理论解,并利用三角函数降幂公式将其归纳整理为多阶谐波分量的合成,然后利用目标跟踪技术获取了不同散射源的微多普勒,最后依据锥顶及锥底不同谐波分量与目标特征参数的关系,提出了一种特征参数的估算方法。可为空间进动锥体目标识别提供一定参考。     

Threshold proxy re-signature

The focus of this paper is to design an efficient and secure solution addressing the semi trusted issue in proxy re-signature schemes, i.e., the proxy knows the re-signature key from user A to user B, so he is able to translate any signatures made by user A to user B, which damages the essential requirement (“non-repudiation” property) of proxy re-signature schemes. In this paper, the authors first define the security model for threshold proxy re-signature scheme, and then propose two threshold proxy re-signature schemes based on Ateniese-Hohenberger’s and Shao-Cao-Wang-Liang’s approach.     

基于组合模型的软件可靠性预计方法

为了提高软件可靠性预计精度和稳定性,本文提出基于组合模型的软件可靠性预计方法。构建组合模型的过程包括选取基模型和确定各基模型的权值。选取基模型时依据的准则有生命周期阶段、模型用户需求、故障数据类型、故障趋势匹配、模型假设吻合和模型预计偏好,并在此基础上阐述了基模型选取算法。基模型权值的确定采用序列似然比方法。最后,引用一组软件故障数据,用于检验此组合模型的预计效果。通过与单个模型的对比,显示组合模型预计结果更为可信。     

OD分布与随机均衡分配的组合模型及算法

目前交通规则实践缺乏考虑交通信息的随机性,从而降低了它所得结果的准确性,为此,通过分析出行路选择和目标选择的随机性,建立了交通网络OD分布与随机平衡（或均衡）分配的组合模型,通过引入拉格朗日函数,证明了模型最优解满足随机用户平衡条件和OD分布的要求且最优解是唯一的;最后给出了模型的方向搜索算法。