蚁群生成树算法研究

应用蚁群生成树算法搜索了有34个节点的连接图的生成树,并采用正交设计法和均匀设计法进行了参数优化配置方法研究。结果表明:对于参数较多的蚁群算法,应用正交设计法和均匀设计法进行参数优化配置是一种可行且有效的途径,可有效提高蚁群算法的收敛速度,在求解精度上也有一定优势;充分发挥人类智能与仿生物智能的各自优势是克服单纯靠智能优化方法随机搜索缺点的关键;当蚂蚁数目为100、信息素相对重要性因素为0.3、信息素衰减系数为3.6、信息素挥发系数为0.4、信息素增加强度系数为14时,蚁群生成树算法效果最佳。     

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。     

一种高增益宽频带圆极化微带阵列天线的研制

针对微带天线阻抗匹配带宽一般较窄的自身缺陷,基于相控阵雷达天线的应用背景,设计了一种工作在X波段的双层圆极化微带天线结构,且优化发现,其各电磁参数良好。为提高其增益,还在此基础上设计并最终制作了双层2×2结构的微带天线阵列,其实测性能与设计值相符,增益达到10.7dB,带宽1.2GHz,相应轴比为4dB,符合圆极化要求。     

企业存储系统应用

对于企业最宝贵的财富数据而言,只有备份数据才是防止数据丢失的根本方法,只有备份完整的数据才能保证在应用系统发生故障时系统和数据的完整恢复。随着公司信息化建设的发展,数据量随着迅速增长,建立一套统一的、集中的、自动化的数据备份系统,可高效、安全的将业务系统的数据进行及时备份,解决数据安全的后顾之忧。通过构建独立的存储网络系统,并将服务器存储资源集成到存储网络系统中,使存储系统具有高可靠性、可扩展性和易于恢复性。     

C语言中有关内存概念的教学研究

为使学生能快速掌握C语言的相关概念,为今后进行程序设计打下良好的基础,针对在教学过程中学生难以理解的几个问题,结合实例探讨了C语言中有关内存概念的教学方法,着重分析了内存与数组、函数参数、变量的作用域和生成期之间的关系。     

双轴光伏电池自动跟踪系统的研制

该设计采用低成本感光阵列,结合电机智能控制系统,实现太阳能电池板受光角度随季节、早晚而自动调整。系统运用低功耗休眠电路,大大减低了太阳能电池板无功时的整体系统功耗。整体电路设计合理,成本低,稳定可靠。     

A hardware design of a massive-parallel, modular NN-based vector quantizer for real-time video coding

This report describes the design of a modular, massive-parallel, neural-network (NN)-based vector quantizer for real-time video coding. The NN is a self-organizing map (SOM) that works only in the training phase for codebook generation, only at the recall phase for real-time image coding, or in both phases for adaptive applications. The neural net can be learned using batch or adaptive training and is controlled by an inside circuit, finite-state machine-based hard controller. The SOM is described in VHDL and implemented on electrically (FPGA) and mask (standard-cell) programmable devices.     

Using simulation and multi-criteria methods to provide robust solutions to dispatching problems in a flow shop with multiple processors

Dispatching rules are important to the performance of a manufacturing system. Selective applications of different priority rules at different processing stages in a multiple workstation manufacturing system have a positive impact on shop performance. This type of problem is a combinatorial dispatching decision. However, no dispatching rule can consistently produce better performance than all other rules under a variety of operating conditions and criteria. It is the purpose of this study to provide a robust solution for a dispatching decision that will have ‘good’ performance under different operating scenarios. In this paper a simulation case of a flow shop with multiple processors is proposed, specifically a multi-layer ceramic capacitor manufacturing system. Two multiple criteria decision-making methods – techniques for order preference by similarity to ideal solution (TOPSIS) and an analytic hierarchy process (AHP) – in combination with Taguchi orthogonal array are used to find the most suitable dispatching rule for every workstation. The results show that for 15 production scenarios and 4 criteria this combinatorial dispatching rule is robust, in the sense that it outperforms other commonly employed strategies.     

An ant direction hybrid differential evolution heuristic for the large-scale passive harmonic filters planning problem

This article presents a heuristic which combines the orthogonal array experiment technique and an ant direction hybrid differential evolution algorithm (ADHDEOA) for planning of a large-scale passive harmonic filters problem. The addressed problem has a multi-bus and under abundant harmonic current sources in the system. In this study, an orthogonal array is first conducted to obtain the initial solution. Next, an ant direction hybrid differential evolution (ADHDE) is applied to search for a near optimum solution. The objective is to minimize the cost of the filter, the total demand distortion of harmonic currents and the total harmonic distortion of voltages at each bus simultaneously. In order to determine a set of weights of each term in the objective function, the simplest and most efficient form of triangular membership functions has been considered. The designed heuristic ADHDEOA is applied to a practical harmonic problem in a steel plant, and three design schemes are compared to demonstrate the performance of the ADHDEOA.     

低带宽全搜索VBSME结构的优化设计

为支持H.264/AVC可变块运动估计(VBSME)要求,提出一个高性能的二维脉动阵列结构,该结构具有数据重传次数少,存储器带宽要求低的特性.对结构中存在大量延迟寄存器开销的问题,用基于数据流的AON网络模型对阵列结构的计算依赖关系进行分析,并使用动态规划算法,得到了优化的结构设计.