移动定位技术的现状与发展趋势

基于位置服务为人们的日常生活带来了极大的方便,同时也推动了移动定位技术行业的快速发展。针对移动定位技术发展状况,分析目前主流定位技术的优劣,并对取得的突破作简单的总结归纳。     

基于云基础设施的服务部署优化问题建模

目前典型的云基础设施提供商所提供的虚拟机资源都是有限的规格类型,当同一个服务部署在不同配置的虚拟机上时,会体现出不同的性能。通过对基于云基础设施的SaaS层服务部署情况进行研究和分析,提出对服务部署策略进行优化的必要性,并将该服务部署优化问题抽象为多目标组合优化问题,对其进行数学建模;然后利用排队论,得出优化指标的计算方法,并进行实验验证。     

基于FPGA与LabVIEW的DDS任意信号发生器设计

实现了一种基于FPGA与LabVIEW平台的任意波形发生器。通过FPGA搭建硬件平台,与LabVIEW上位机软件实现串口通信,实时调整FPGA内部波形数据,可实现正弦波、方波、锯齿波、三角波、高斯白噪声、叠加正弦波、自定义公式等常规波形,同时也可以手动绘制任意波形,充分发挥了软件的灵活性。通过参数的设定,可方便地设计各种复杂波形。本设计在EP4CE15F17C8芯片上实现,与LabVIEW上位机软件协同工作,经测试系统具有良好的稳定性、灵活性。     

合成气甲烷化过程热力学分析

以化学热力学为基础,利用FactSage软件对2种典型的煤气化合成气甲烷化反应过程进行了热力学计算和分析。研究了合成气的组分、氢气的配比、反应温度、压力等条件对甲烷化过程的影响,特别是氢气的配比研究,区别于常规对H_2/CO分析而是以氢气的理论配比H_2/(3CO+4CO_2)进行分析。结果表明:反应器操作压力对甲烷化过程的影响不明显,合成气的组分、氢气的配比、反应温度的选择对甲烷化过程的影响较大。得出:合成气甲烷化过程应采用多段反应器,最终控制温度为(300~350)℃;操作压力一般为(3.0~3.5)MPa;H_2的配比采用理论配比时生产出的CH_4浓度高。     

车辆仪表检校方法研究

针对常用仪表的检校需求,提出了一种利用激励电路代替传感器输出的方法,校准仪表指示器。设计了阻值激励电路、电压激励电路、电流激励电路及脉冲激励电路,能够实现车辆仪表快速原位检校。     

Synchronization of a class of nonlinear network flow systems

In this paper, we consider the synchronization of a class of nonlinear network flow systems. Motivated by air distribution problem in air conditioning and mechanical ventilation (ACMV) systems, we propose a class of coupled nonlinear multi‐agent systems that can model a wide class of network flow systems, including air flow in ACMV systems, water flow in irrigation systems, traffic flow in transportation systems, and so on. Then we consider the synchronization problem for the class of nonlinear multi‐agent systems and propose cooperative controllers for the system. Based on graph theory, we derive conditions on the initial values of the state and the control input such that synchronization can be achieved. An application to air ventilation is provided to demonstrate the effectiveness of the cooperative controllers. Copyright © 2015 John Wiley & Sons, Ltd.     

Exact and approximate flexible aggregate similarity search

Aggregate similarity search, also known as aggregate nearest-neighbor (Ann) query, finds many useful applications in spatial and multimedia databases. Given a group Q of M query objects, it retrieves from a database the objects most similar to Q, where the similarity is an aggregation (e.g., \({{\mathrm{sum}}}\), \(\max \)) of the distances between each retrieved object p and all the objects in Q. In this paper, we propose an added flexibility to the query definition, where the similarity is an aggregation over the distances between p and any subset of \(\phi M\) objects in Q for some support \(0< \phi \le 1\). We call this new definition flexible aggregate similarity search and accordingly refer to a query as a flexible aggregate nearest-neighbor ( Fann ) query. We present algorithms for answering Fann queries exactly and approximately. Our approximation algorithms are especially appealing, which are simple, highly efficient, and work well in both low and high dimensions. They also return near-optimal answers with guaranteed constant-factor approximations in any dimensions. Extensive experiments on large real and synthetic datasets from 2 to 74 dimensions have demonstrated their superior efficiency and high quality.     

Rotation,scaling and translation invariant texture recognition by Bessel-Fourier moments

The ideal of Bessel-Fourier moments (BFMs) for image analysis and only rotation invariant image cognition has been proposed recently. In this paper, we extend the previous work and propose a new method for rotation, scaling and translation (RST) invariant texture recognition using Bessel-Fourier moments. Compared with the others moments based methods, the radial polynomials of Bessel-Fourier moments have more zeros and these zeros are more evenly distributed. It makes Bessel-Fourier moments more suitable for invariant texture recognition as a generalization of orthogonal complex moments. In the experiment part, we got three testing sets of 16, 24 and 54 texture images by way of translating, rotating and scaling them separately. The correct classification percentages (CCPs) are compared with that of orthogonal Fourier-Mellin moments and Zernike moments based methods in both noise-free and noisy condition. Experimental results validate the conclusion of theoretical derivation: BFM performs better in recognition capability and noise robustness in terms of RST texture recognition under both noise-free and noisy condition when compared with orthogonal Fourier-Mellin moments and Zernike moments based methods.