一种虚拟路由器资源映射算法研究

网络虚拟化技术的提出,为解决互联网"僵化"问题找到了新的思路,受到广泛的关注。在虚拟路由器平台中,若干台互联的网络服务器资源组成了底层物理网络,通过虚拟网络映射技术,将物理网络资源有效地映射到虚拟网络设备上,组成多个虚拟网络,满足用户对网络的多样化需求。虚拟路由器资源映射问题是虚拟网络映射问题的基础,虚拟路由器实例与物理资源的映射方法决定了虚拟网络平台资源的利用率和虚拟网络系统的性能。针对虚拟路由器平台资源分配的问题,提出了物理网络资源模型和虚拟路由器资源请求模型,设计了一种启发式虚拟路由资源分配算法,并对算法的复杂性和优化目标进行了分析。     

具有自动加载功能的SPI总线控制器设计与验证

本文结合设计需求,提出了一种SPI主模式的接口电路设计,使其可以在多种SPI传输模式下进行数据的传输,且针对实时信息处理占用时间较长的不足,采取信息自动加载方法,有效降低了处理器占用时间.设计并搭建仿真验证平台对其进行验证.仿真测试结果表明,该SPI总线接口电路满足实际应用需求.     

Are U.K. Citizens Satisfied With E-Government Services? Identifying and Testing Antecedents of Satisfaction

Citizens’ satisfaction is acknowledged as one of the most significant influences for e-government adoption and diffusion. This study examines the impact of information quality, system quality, trust, and cost on user satisfaction of e-government services. Using a survey, this study collected 1518 valid responses from e-government service adopters across the United Kingdom. Our empirical outcomes show the five factors identified in this study have a significant impact on U.K. citizens’ satisfaction with e-government services.     

Agro-ecosystem modeling can aid in the optimization of biomass feedstock supply

Recent European Directives promoted the development of biofuels, requesting mandatory limits to their emissions ot greenhouse gases (GHG). Second-generation biofuels based on lignocellulosic biomass are prime candidates but their GHG emissions are variable and uncertain. Agro-ecosystem modeling can capture them and the performance of biofuel feedstocks.This study aimed at optimizing feedstock supply for a bioethanol unit in France, from agricultural residues, annual and perennial crops. Their productivity and environmental impacts were modelled on a regional scale using geo-referenced data on soil properties, crop management, land-use and future weather data. Several supply scenarios were tested. Cereal straw was the most efficient feedstock but had a low availability, and only miscanthus could meet the bioethanol plant's demand. Sorghum combined poor yields and high GHG emissions compared by miscanthus and triticale. A mix of three biomass sources used less than 3% of the regional agricultural land while abating GHG emissions by 60%.     

压电陶瓷换能器收发系统幅频特性建模与分析验证

压电陶瓷超声波系统是实现物体探测的重要方法。本文基于压电陶瓷换能器收发系统的等效电路模型,通过引入声波衰减系数建立了发射换能器激励电压与接收换能器输出电压间的关系,并求解出了该等效电路模型的传递函数。实测数据与传递函数仿真数据对比表明,收发系统幅频特性的仿真曲线与实测曲线基本一致,验证了所给等效电路模型与传递函数的正确性。     

高速公路机电工程施工难度系数评估模型

依据高速公路机电工程施工特点,采用层次分析法和模糊数学相结合的方法对高速公路机电系统的施工难度进行综合评估。通过实例分析表明,基于AHP的高速公路机电工程施工难度评估模型计算客观、公正和合理,可为高速公路机电管理在合理配置人、财、物等资源,考核工程施工提供科学的依据。     

基于Karnopp摩擦的柔性滑移铰的建模与仿真

对含Karnopp摩擦的柔性滑移铰系统进行动力学建模和仿真.将滑移铰中的滑块视为柔性体,滑道视为刚性接触面,考虑滑道与滑块之间的间隙.由于柔性滑块与滑道的接触状态和摩擦情况比较复杂,采用有限元方法建立了柔性滑块的力学模型,基于罚函数方法建立含Karnopp摩擦柔性滑移铰接触力模型,通过试算迭代法判断柔性滑块各节点的接触状态,基于KED方法和Newmark方法给出了含该滑移铰机械系统动力学方程的数值算法.最后,以含Karnopp摩擦的柔性滑移铰和驱动摆杆构成的机械系统为例进行动力学仿真,分析了其动力学特性,验证了本文给出的方法的有效性.     

基于PCA-Logistic模型的围岩稳定性分类研究

为了建立易于理解和应用的围岩稳定性分类模型,采用主成分分析法对围岩样本数据进行降维处理,以Logistic模型来描述围岩稳定性影响因素与围岩稳定性之间的经验关系。选取影响围岩分类的5个主要因素,根据分类标准,采用在每级标准中随机内插的方法,得到100个标准样本,用于建立PCA-Logistic模型。分析结果显示,PCA-Logistic模型拟合效果良好,对工程实例的预测结果同投影寻踪模型和分形-插值模型完全一致,表明该模型在围岩稳定性评价中具有可行性和有效性。     

Individual-based modeling of soil organic matter in NetLogo: Transparent,user-friendly,and open

Soil organic matter dynamics are essential for terrestrial ecosystem functions as they affect biogeochemical cycles and, thus, the provision of plant nutrients or the release of greenhouse gases to the atmosphere. Most of the involved processes are driven by microorganisms. To investigate and understand these processes, individual-based models allow analyzing complex microbial systems' behavior based on rules and conditions for individual entities within these systems, taking into account local interactions and individual variations. Here, we present a streamlined, user-friendly and open version of the individual-based model INDISIM-SOM, which describes the mineralization of soil carbon and nitrogen. It was implemented in NetLogo, a widely used and easily accessible software platform especially designed for individual-based simulation models. Including powerful means to observe the model behavior and a standardized documentation, this increases INDISIM-SOM's range of potential uses and users, and facilitates the exchange among soil scientists as well as between different modeling approaches.     

Compositional power-aware real-time scheduling with discrete frequency levels

Power consumption remains a hot issue in all areas of computing ranging from embedded systems that rely on batteries to large scale data centers where reducing the power consumption of computing devices directly affects not only the management cost, but also contributes to a greener computing environment. The power-aware real-time scheduling problem has recently been addressed for a compositional framework with periodic task model under the assumption that a processor can continuously vary its operating frequency and voltage. However, in practice, this technique is only suboptimal and still produce the waste of computational resources. This paper introduces new frequency scaling schemes that statically determine optimal processor speeds at system, component, and task levels with the objective of minimizing the total energy consumption of the entire framework. Since real-world processors support only a finite set of operating frequencies, our algorithms also consider only discrete speed levels and guarantee still that each task meets its deadline. We implemented and evaluated the performance of a prototype framework that incorporates our algorithms on top of the RT-Xen hypervisor in order to provide power-aware compositional real-time scheduling framework to virtual machines.