基于改进粒子群优化算法的火电厂机组负荷分配

以坑口电厂厂级监控信息系统的机组负荷在线优化分配功能模块为应用背景,针对模块所运用的基本粒子群优化算法在优化过程中容易陷入局部收敛、收敛速度慢的缺点,提出一种基于惯性权重非线性减小策略的改进粒子群优化算法,使惯性权重呈对数减小;测试函数仿真结果表明,改进粒子群优化算法在收敛速度和寻优精度方面,优化性能均优于基本粒子群优化算法;通过MATLAB与Visual C++混合编程,开发了机组负荷在线优化分配功能模块,提高了算法的计算效率和工程应用价值。     

基于动态性有效资源分配的云计算效益学习模型研究

为了将有限的资源合理地分配给用户,并尽可能地提高云系统的资源和能量利用效率,提出了一种改进的面向动态性有效资源分配的云计算效益学习模型算法,在动态性有效资源分配上提出了服务质量准则框架(QSSF)来得出云服务的计费管理机制;采用资源竞拍策略和动态双向博弈策略更好地权衡用户和云计算提供商之间的利益关系,并将资源分配给资源需求量大的用户;在云系统的运算和存储任务的资源和能量分配上,采用了基于云计算的效益学习模型,通过权衡任务对资源和能量的需求量来实现系统效益的最优化;实验仿真结果表明,该算法能够更加合理地为系统的运算和存储任务分配资源和能量,在资源和能量的利用率上优于其他对比算法.     

海量数据处理器MPC860T的DSP阵列设计

现代通信的数据量日益增加,数据处理的复杂度也日益加强,如何有效处理这些海量数据,是目前研究的难点,基于DSP阵列的数据处理系统是解决这些问题的有效方法。本文选用TI公司的TMS320C6713浮点型数字信号处理器以及Freescale公司的MPC860T通用通信处理器,设计了16颗浮点型DSP阵列来完成海量数据实时处理。详细介绍了该系统的DSP阵列的管理,包括复位、HPI数据管理通道设计。通过测试和实际应用验证,该系统不仅满足性能上的要求,还是一个通用的数据采集和处理平台。     

基于多块结构网格大规模并行计算的负载均衡设计及实现

结构网格具有网格生成速度快、质量高、数据结构相对简单、较适用于流体表面应力集中的运算等优点。在大规模 CFD（Computational Fluid Dynamics）并行计算中,需要将网格区域划分为多块网格,而多块网格之间的数据通信会制约并行计算能力的提高,因此对结构网格的负载平衡优化是提高并行计算能力的重点。本文提出了一个采用多层次 k-way 多约束条件图剖分算法来改进负载平衡的方案,并对 M6 翼型和 CRM 模型的多种规模进行了实际计算,结果证明多层次 k-way图剖分算法能够有效地优化负载平衡,在此基础上得到了最优节点间的计算负载平衡和通信负载平衡,最终达到了理想的并行效率。     

网电空间战与能力建设研究

随着信息化步伐的加快,网电空间正在不断加深对人类社会的影响。网电空间的重要作用已经得到世界各国的广泛认同。网电空间战将成为未来战争的重要部分。本文分析了网电空间的定义和重要性,介绍了网电空间战的威力,研究了美国网电空间战能力建设中的重要举措,指出我国加强网电空间战能力建设的必要性。     

Distributed load-balancing algorithm for fast tag reading

The radio frequency identification (RFID) technology has gained a lot of recent interests because it has been widely recognised as a foundation technology for the ‘Internet of things’. In current multi-reader RFID systems, readers work with fairly less cooperation and are responsible to retrieve data from different number of tags individually, which results in large reading time of obtaining all tag data. In this paper, a fast tag reading problem in multi-reader RFID systems with the goal of obtaining all tag data by using minimum reading time is studied. A distributed load-balancing algorithm based on diffusion method is proposed to solve the problem by migrating tags from highly loaded reader to lightly loaded reader. The simulation results demonstrate the effectiveness and efficiency of proposed algorithm.     

Quadruple Difference Expansion-Based Reversible Data Hiding Method for Digital Images

ABSTRACT

Lossless data hiding is a special type of data hiding technique that guarantees not only the secret data but also the ability of cover media to be reconstructed without any distortion. A latest lossless data hiding technique is proposed by Hong Lin Jin's that is based on hiding only one data bit in the spatial domain in gray-level image. However, this method uses double difference expansion to embed bits which results in a small embedding capacity. For this purpose, we propose an improved algorithm with the potential of increasing the payload capacity and maintaining good image quality. The proposed improved algorithm is characterized by two aspects. First, the proposed improved reversible data hiding scheme is enhanced to exhibit data hiding in color palette images. Second, the embedding level is improved by using quadruple difference expansion to guarantee the embedding of 2-bit data into color images. Experiments of the proposed improved method have been conducted over several well-known test images. The results show that the proposed improved method significantly improves the embedding capacity over Hong Lin Jin's scheme by the range of 15–35% for grayscale images and 20–46% for color images while still maintaining the quality of the stego-images.     

Assessment of Numerical Models for Live Load Distribution in a Road Slab Bridge

This paper presents comparison of numerical models used in an analysis of a road bridge deck. The models were adapted for computing the live load distribution coefficients in composite concrete bridge deck. The load distribution method was chosen for assessment of the usability of different numerical model in slab bridge deck analysis. The goal of the study is to determine a simplest but still accurate numerical model to estimate live load effects on composite slab bridge. In the analysis, the well-established grillage approach was adapted for representation of the bridge deck as a basic model as well as more sophisticated three-dimensional models which was supposed to better represent the real behavior of the deck under concentrated wheel loads. The bridge deck was effectively modeled using beam and shell elements. The grillage method compares well with the finite-element method. This finding is allowed to establish simplification in numerical modeling of slab bridge decks for live load effect computations.     

How does organisational absorptive capacity matter in the assimilation of enterprise information systems?

Extant literature offers two mostly distinct perspectives on enterprise systems assimilation – driven either by internal expertise and learning capability or by external institutional pressures. This study combines the two perspectives and subscribes to the view that organisations’ learning capability moderates their acquiescence to institutional pressures. The study then anchors organisational learning capability to the concept of absorptive capacity and proposes that its two dimensions – potential absorptive capacity (PACAP) and realised absorptive capacity (RACAP) – affect enterprise systems assimilation through different pathways. Our survey‐based empirical study of Enterprise Resource Planning (ERP) systems in the post‐implementation stage reveals that while both PACAP and RACAP have a positive direct impact on assimilation, PACAP positively moderates the impact of mimetic (institutional) pressures, but not normative (institutional) pressures, on assimilation; whereas RACAP positively moderates the impact of normative pressures, but not mimetic pressures, on assimilation. Thus, our theoretical contribution lies in understanding the distinct ways in which PACAP and RACAP moderate the influence of external institutional pressures on enterprise systems assimilation.     

某型天线车抗倾覆能力的计算与检验

近年来,米波雷达因其在反隐身目标方面所体现出的优势而引起了雷达界的高度重视,新型米波雷达不断问世。主要用于警戒雷达的米波频率较低,因而雷达天线结构比较稀疏,天线阵面巨大,并且大多部署在沿海或沙漠、戈壁地区,环境条件恶劣,风力往往比较大。因此米波雷达天线车的安全性设计尤为重要,而天线车的抗倾覆能力又是安全性设计的重中之重。文中给出了某型号车载米波雷达风负载的计算方法及给定环境条件下天线车的抗倾覆能力,并对抗倾覆能力的检验方法作了简要的介绍,通过实验验证了计算方法的可靠性。