一种自由曲线拟合及插补方法

为了提高自由曲线、曲面的加工性能 ,本文在对自由曲线、曲面拟合方法研究的基础上 ,介绍一种曲率连续的自由曲线、曲面拟合法—— Clothoid曲线法 ,并详细推导了 Clothoid曲线插补算法     

虚拟士兵的智能记忆模型研究

为了提高虚拟士兵的真实度与可信度,在分析现有研究成果的基础上,依据生物记忆原理和遗忘特性,提出了一种智能记忆模型.构造了记忆信息的编码形式,建立了基于槽式和广义树结构的记忆分层存储模型；提出了带有参数的遗忘算法,并运用宽度优先算法,实现了记忆信息的搜索和调用.借助Matlab工具对算法进行了验证,验证结果表明该算法与实际情况基本相符.     

Interval analysis applied to the maximum loading point of electric power systems considering load data uncertainties

This paper proposes a simple and efficient power flow method to calculate, in an interval manner, the main variables corresponding to the maximum loading point, under load data uncertainties. The resulting interval nonlinear system of equations is solved using Krawczyk method. The proposed methodology is implemented in the Matlab environment using the Intlab toolbox. Results are compared with those obtainable by Monte Carlo simulations. IEEE 30 bus system and a South-southeastern Brazilian network are used to validate the proposed methodology.     

A high-performance VLSI architecture for reconfigurable FIR using distributed arithmetic

In this paper, we have analyzed the register complexity of direct-form and transpose-form structures of FIR filter and explored the possibility of register reuse. We find that direct-form structure involves significantly less registers than the transpose-form structure, and it allows register reuse in parallel implementation. We analyze further the LUT consumption and other resources of DA-based parallel FIR filter structures, and find that the input delay unit, coefficient storage unit and partial product generation unit are also shared besides LUT words when multiple filter outputs are computed in parallel. Based on these finding, we propose a design approach, and used that to derive a DA-based architecture for reconfigurable block-based FIR filter, which is scalable for larger block-sizes and higher filter-lengths. Interestingly, the number of registers of the proposed structure does not increase proportionately with the block-size. This is a major advantage for area-delay and energy efficient high-throughput implementation of reconfigurable FIR filters of higher block-sizes. Theoretical comparison shows that the proposed structure for block-size 8 and filter-length 64 involves 60% more flip-flops, 6.2 times more adders, 3.5 times more AND-OR gates, and offers 8 times higher throughput. ASIC synthesis result shows that the proposed structure for block-size 8 and filter-length 64 involves 1.8 times less area-delay product (ADP) and energy per sample (EPS) than the existing design, and it can support 8 times higher throughput. The proposed structure for block sizes 4 and 8, respectively, consumes 38% and 50% less power than the exiting structure for the same throughput rates on average for different supply voltages.     

Methods for uncertainty propagation in life cycle assessment

Life cycle assessment (LCA) calculates the environmental impact of a product over its entire life cycle. Uncertainty analysis is an important aspect in LCA, and is usually performed using Monte Carlo sampling. In this study, Monte Carlo sampling, Latin hypercube sampling, quasi Monte Carlo sampling, analytical uncertainty propagation and fuzzy interval arithmetic were compared based on e.g. convergence rate and output statistics. Each method was tested on three LCA case studies, which differed in size and behaviour. Uncertainty propagation in LCA using a sampling method leads to more (directly) usable information compared to fuzzy interval arithmetic or analytical uncertainty propagation. Latin hypercube and quasi Monte Carlo sampling provide more accuracy in determining the sample mean than Monte Carlo sampling and can even converge faster than Monte Carlo sampling for some of the case studies discussed in this paper.     

Dynamic Evaluation Model and Application Methods for Engineering Machine Maintenance Quality

It is an important content of equipment management to keep the engineering machine well. Based on the theory of component technology and grey related algorithm arithmetic,the requirements and procedures of engineering machine maintenance predicting process are analyzed,and a support object evaluation system is provided. The qualitative and quantitative indexes of evaluating process are fully taken into consideration to provide scientific meth- ods and ways for proper evaluation and decision.     

基于图像处理的海面动目标DP 相参检测方法

海面动目标检测是对海搜索雷达的一种重要工作模式,由于受海杂波影响,采用常规的非相参处理检测动目标时效果不佳。文中提出了一种基于图像处理的低重复频率DP 相参检测动目标的方法。该方法利用图像分割提取技术,针对二维频谱图运用sobel 算子提取边界,将杂波区和清晰区精确分开,提高了海面动目标的检测能力,并通过实测数据证明了该方法有效性和可实现性。     

基于MATLABR的矿井涌水量神经网络预测方法及应用

在MATLAB神经网络工具箱的基础上实现基于时序的神经网络动态预测方法 ,通过采用快速的L—M算法 ,提高神经网络训练的速度与精度 ,实现煤矿安全监测数据的连续预测与提前预警。以一种相对简单的途径实现了神经网络这种复杂而有效的非线性预测方法。     

进化神经网络在矿山入选品位优化中的应用

在矿山入选品位指标研究中，正确建立有关因素之间的数学模型是实施优化的关键。其中选矿子系统的入选品位、混岩率与选比之间呈复杂非线性关系。为克服一般神经网络收敛慢和过学习的问题，采用改进遗传算法的进化神经网络模型映射混岩率、入选品位与选比之间的复杂非线性的对应关系，并将建立的选比神经网络模型用于金山店铁矿入选品位的优化决策支持系统中，取得每年多回收铁精矿16.23万t的良好效果。