基于ARM的智能节能照明系统设计

文章在分析路灯管理部门需求的基础上,对道路照明管理系统的功能进行了详细的规划,提出了道路照明管理系统的分层体系结构模型,并根据该模型明确定义了照明区域控制系统的功能和系统工作模式;然后提出了一种基于ARM平台和ZigBee无线通信技术的道路照明管理系统,详细阐述了在该系统中作为现场控制设备的照明区域控制器的设计;最后设计了实用的ZigBee无线通信组网方法和较为完善的多级通信协议,使照明区域控制器具备了与照明终端控制器通信的功能,从而真正实现了道路照明的网络化管理.     

基于PCI总线的通用旋转变压器解算系统设计

针对轴角参量的闭环控制和检测的局限性,设计了一种基于PCI总线的通用旋转变压器解算系统;通过DDS模块和功率放大电路产生激磁信号,在FPGA的控制下,解算芯片完成轴角参量的解算;采用FIFO机制进行数据缓存,采样时标达到0.1ms;系统具有激磁信号频率0Hz到10kHz可变、速比1∶8到1∶64可调的特点,是一种精度高、通用性好的轴角检测解决方案。     

基于Ziegler-Nichols频率响应方法的自适应PID控制

提出一种基于Ziegler-Nichols频率响应方法的自适应PID控制器,它通过控制回路正常运行中的过程对象输入输出数据在线辨识出过程对象重要的临界频率响应特性,然后基于Zieger-Nichols整定规则或改进的方法在线更新PID控制器参数.PID控制器的自适应过程不需要系统的任何先验知识,也不需要建立任何对象模型,可以保证控制回路始终运行在最佳状态.仿真实验表明了自适应PID控制的有效性和可行性.     

本体在Web服务发现中的应用

现在人们主要通过UDDI来查找Web服务,但其仅仅基于关键字,这决定了它不能根据所需功能的语义来更好地发现Web服务。本文先试图用DAML-S语言来描述Web服务的功能本体,然后提出了一个Web服务匹配框架-DAML-S/UDDI匹配器框架（DUMF）。虽然这一框架本身存在一些不完善的地方,但随着进一步改进,预计将在一定程度上解决Web服务发现的问题。     

面向信息处理的突发事件语料库分类体系研究

本文分析了突发事件新闻的特点、建设突发事件新闻语料库的目的和意义,研究了突发事件新闻语料的分类体系和编码。研究结果对突发事件新闻语料库的建设、突发事件新闻信息检索、国家相关部门对突发事件应急处理方案制定以及对流行病学的医学研究等领域具有一定的理论意义和应用价值。     

Performance of TZCD-MBOK watermarking scheme in T-DMB systems

Recently, watermarking based data transmission techniques using terrestrial digital TV signal have been proposed since they are also cost-free and can overcome the limitations of GPS. However, in the previous watermarking based methods, the detection accuracy is low and additional data rate is too low. Thus, we propose the throughput enhancement method by employing the TZCD-MBOK watermarking technique in T-DMB system. By applying the proposed scheme to T-DMB, it allows additional data transmission for disaster broadcasting and improves efficiency of data transmission in shadow region and indoor to mobile environment through watermarking spread code. From the simulation results, we confirm the proposed watermarking scheme affected on the existing T-DMB signal. Moreover, it was also confirmed that the system capacity increases as the power of additional watermarking signal rose. The results of the paper can be applied to wireless multimedia digital broadcasting systems.     

An efficient initialization approach of Q-learning for mobile robots

This article demonstrates that Q-learning can be accelerated by appropriately specifying initial Q-values using dynamic wave expansion neural network. In our method, the neural network has the same topography as robot work space. Each neuron corresponds to a certain discrete state. Every neuron of the network will reach an equilibrium state according to the initial environment information. The activity of the special neuron denotes the maximum cumulative reward by following the optimal policy from the corresponding state when the network is stable. Then the initial Q-values are defined as the immediate reward plus the maximum cumulative reward by following the optimal policy beginning at the succeeding state. In this way, we create a mapping between the known environment information and the initial values of Q-table based on neural network. The prior knowledge can be incorporated into the learning system, and give robots a better learning foundation. Results of experiments in a grid world problem show that neural network-based Q-learning enables a robot to acquire an optimal policy with better learning performance compared to conventional Q-learning and potential field-based Qlearning.     

Quantum computing via the Bethe ansatz

We recognize quantum circuit model of computation as factorisable scattering model and propose that a quantum computer is associated with a quantum many-body system solved by the Bethe ansatz. As an typical example to support our perspectives on quantum computation, we study quantum computing in one-dimensional nonrelativistic system with delta-function interaction, where the two-body scattering matrix satisfies the factorisation equation (the quantum Yang–Baxter equation) and acts as a parametric two-body quantum gate. We conclude by comparing quantum computing via the factorisable scattering with topological quantum computing.     

Resonator surface contamination-a cause of frequency fluctuations?

The mass loading effects of adsorbing and desorbing contaminant molecules on the magnitude and characteristics of frequency fluctuations in a thickness-shear resonator are studied. The study is motivated by the observation that the frequency of a thickness-shear resonator is determined predominantly by such mechanical parameters as the thickness of the resonator, elastic stiffnesses, mass loading of the electrodes, and energy trapping. An equation was derived relating the spectral density of frequency fluctuations to: (1) rates of adsorption and desorption of one species of contaminant molecules; (2) mass per unit area of a monolayer of molecules: (3) frequency constant; (4) thickness of resonator; and (5) number of molecular sites on one resonator surface. The induced phase noises were found to be significant in very-high-frequency resonators and are not simple functions of the percentage of area contaminated. The spectral density of frequency fluctuations was inversely proportional to the fourth power of the thickness if other parameters were held constant.