Efficient design of magnitude and 2's complement comparators

Digital comparators are important arithmetic components used in digital systems to determine if two numbers are equal, or if one number is greater or less than the other. In this work, the design of magnitude and 2's complement comparators is examined. New OR-based full tree and simplified tree magnitude comparator architectures are proposed. The existing and the proposed comparator architectures are implemented in standard cell technology and evaluated, after extensive experimental analysis, in high performance and relaxed conditions. The proposed comparators operate faster than the existing ones, while operating at the same speed yield significant improvement in area complexity and power dissipation.     

模糊控制在矿用带式输送机速度传感器检测装置中的应用

论述了模糊控制在煤矿用带式输送机速度传感器检测装置中的实现。介绍了带式输送机速度传感器检测装置的工作原理,设计了硬件的整体框架,重点阐述了煤矿用带式输送机速度传感器检测装置中模糊控制器的结构和模糊控制算法的实现。     

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。     

采动建筑物在沉陷区内位置的GIS拓扑算法

地下资源开采常常引起周围环境的负面效应,造成地面建筑物、公用地下管线和各种地下设施以及城市道路的路基、路面、铁路等不同程度的损害,利用GIS可以有效地把这种负面效应和损害可视化.在可视化过程中,经常要判断不同地理要素的空间位置关系.基于GIS所特有的拓扑关系特性,把开采沉陷区域的建筑物和沉陷等值线空间位置关系抽象成理论模型,并进一步探讨了点与曲线环关系算法以及利用现有GIS软件如何来实现拓扑关系的方法.通过这种可视化,可以为决策提供可靠的信息依据,从而更好地为工程服务.     

并行算法在弹道与诸元计算中的应用

为在现有硬件计算条件下缩短弹道与诸元计算时间,提高武器的快速反应能力,通过Intel Vtune(程序性能分析器)对弹道与诸元计算软件进行深入分析,并结合弹道与诸元计算模型的特点,研究确认了经典的弹道与诸元计算模型中的热点和具有良好并行性的部分,采用线程池技术对弹道与诸元计算软件进行并行改进和实现,经过仿真验证,证明该算法能有效提高弹道计算的速度。     

一种改进的联合概率数据关联算法的研究

针对联合概率数据关联算法需要知道目标总数并要对矩阵差分,且计算量呈指数增长的问题,提出了一种模糊多门限概率关联算法,该算法利用测量与目标的关联概率来替代概率数据关联算法中可行联合事件概率的计算,改善性能的同时又减少了计算量。仿真结果表明该算法能有效的解决密集目标跟踪环境下的数据融合精度和收敛性问题,且计算量小。     

全光纤电流互感器PID控制算法研究

全光纤电流互感器（FOCT）克服了传统电磁式电流互感器在暂态响应方面的弱点,优化动态特性有助于提高全光纤电流互感器保护动作的快速性。全光纤电流互感器的检测电路的带宽限制了系统的闭环带宽。对于采用数字闭环方案的全光纤电流互感器,其带宽限制主要由闭环数字控制算法决定。通过理论分析、仿真及实验验证,表明在闭环控制算法中引入PID控制算法,有效提高了闭环带宽,为全光纤电流互感器在智能电网保护中的推广应用具有重要的意义。     

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.     

Lower-error and area-efficient antilogarithmic converters with bit-correction schemes

In this article, we have proposed fast lower-error and area-efficient antilogarithmic converters. By employing new approximation schemes with two-region shift-and-add operations, our proposed converters can perform high-speed conversions from logarithmic numbers to binary numbers. Synthesis results show that our proposed converters can achieve time savings of over 32.5% and can save 42.3% of the area used compared with previously proposed methods. In addition, the percent error ranges for various logarithmic number system (LNS)-based operations used by our proposed logarithmic processor are lower than those of previous methods. Our proposed converters can be applied to LNS-based processors to ease the tremendous computation overhead and boost the performance.