路基路面工程教学中学生文献追踪能力的培养

根据路基路面工程课程的特点,大学阶段培养学生的追踪文献能力是十分必要和重要的。对培养学生文献追踪能力的关键因素进行了分析,提出了培养学生文献追踪能力的教学实施方案,并结合教学案例说明了其教学实施过程。     

数字图书馆数据存储系统解决方案的探讨

文章分析了传统数据存储系统的缺陷和不足,着重介绍了SAN存储的技术特性和解决方案,结合实际应用,提出了图书馆在构建SAN存储解决方案时必须综合考虑的因素,以及SAN将成为数字图书馆数据存储系统发展的趋势.     

山西省96121气象信息声讯平台的技术实现

详细介绍了96121气象信息服务声讯平台全省的技术实现,提出了存在问题的解决方案,阐明了建立96121平台的重要性、必要性和可行性。     

幅相联合处理算法的分析和实时实现

针对多种接收相参处理法对改善因子的限制 ,提出了一种全新的幅相联合处理算法。介绍了该算法的数学分析 ,计算仿真 ,数字信号处理器 (DSP)实时实现方法。该算法分别通过卷积和相关提取不受发射脉冲随机初相、振幅、脉间频率抖动影响的幅度分量和相位分量 ,再联合成新的相参复信号。这个联合信号具有幅度、相位时间一致性好 ,便于用DSP实时实现的优点。理论分析和实际测试表明 :该算法的改善因子性能大于 5 5 d B。该算法的应用使某非相参雷达的杂波中可见度性能提高 10 d B     

Parallelizing Tabu Search on a Cluster of Heterogeneous Workstations

In this paper, we present the parallelization of tabu search on a network of workstations using PVM. Two parallelization strategies are integrated: functional decomposition strategy and multi-search threads strategy. In addition, domain decomposition strategy is implemented probabilistically. The performance of each strategy is observed and analyzed. The goal of parallelization is to speedup the search in finding better quality solutions. Observations support that both parallelization strategies are beneficial, with functional decomposition producing slightly better results. Experiments were conducted for the VLSI cell placement, an NP-hard problem, and the objective was to achieve the best possible solution in terms of interconnection length, timing performance (circuit speed), and area. The multiobjective nature of this problem is addressed using a fuzzy goal-based cost computation.     

Integrated Image Associative Memory and Its Optical Implementation

We present the concept of integrated processing to combine intuitive processing of neural networks with logical processing of the conventional digital computer. We investigate a way to embody the concept in the neural network system by introducing external constraints in terms of external input. The effect of the external input is analyzed using the generalized projection method. The concept of integrated processing is applied to an image associative memory system, and the system is optically implemented for high-speed parallel processing incorporating it with the computer. The experimental result is presented to illustrate the effectiveness of the external input to control the output of the image associative memory.     

PFM神经网络VLSI电路的故障诊断应用

为了改变传统的基于软件的故障诊断模式,发挥神经网络超大规模集成电路(VLSI)的优势,提出了一种用于故障诊断的改进脉冲频率调制(PFM)模拟神经网络脉冲流VLSI电路.利用单层感知器网络、场效应管电路实现了一种新的数字模拟混合突触乘法/加法器电路.以此电路为基础,设计了进行主轴承磨损故障诊断的神经网络故障识别系统.用含有故障信息的噪声信号代替振动信号进行特征值提取,经过前置信号处理分析、故障特征值提取和神经网络运算,最后得出代表待诊断测试信号与标准故障模板之间"欧氏距离"的VLSI电路输出端电容的电压值.根据各个电压值,可以判断出故障类别.该电路具有较高的识别精度,可以实现实时在线的故障诊断.     

Correspondence between spin-dynamic phases and pulse program phases of NMR spectrometers

Spin state selective experiments have become very useful tools in solution NMR spectroscopy, particularly in the context of TROSY line narrowing. However, the practical implementation of such pulse sequences is frequently complicated by unexpected instrument behavior. Furthermore, a literal theoretical analysis of sequences published with specific phase settings can fail to rationalize such experiments and can seemingly contradict experimental findings. In this communication, we develop a practical approach to this ostensible paradox. Spin-dynamic design, rationalization, and simulation of NMR pulse sequences, as well as their confident and reliable implementation across current spectrometer hardware platforms, require precise understanding of the underlying nutation axis conventions. While currently often approached empirically, we demonstrate with a simple but general pulse program how to uncover these correspondences a priori in the general case. From this, we deduce a correspondence table between the spin-dynamic phases used in NMR theory and simulation on the one hand and pulse program phases of current commercial spectrometers on the other. As a practical application of these results, we analyze implementations of the original (1)H-(15)N TROSY experiment and illustrate how steady-state magnetization can be predictably, rather than empirically, added to a desired component. We show why and under which circumstances a literal adoption of phases from published sequences can lead to incorrect results. We suggest that pulse sequences should be consistently given with spin-dynamically correct (physical) phases, rather than in spectrometer-specific (software) syntax.     

Efficient Statistical Leakage Power Analysis Method for Function Blocks Considering All Process Variations

With technology scaling into nanometer regime, rampant process variations impact visible influences on leakage power estimation of very large scale integrations (VLSIs). In order to deal with the case of large inter- and intra-die variations, we induce a novel theory prototype of the statistical leakage power analysis (SLPA) for function blocks. Because inter-die variations can be pinned down into a small range but the number of gates in function blocks is large(>1000), we continue to simplify the prototype. At last, we induce the efficient methodology of SLPA. The method can save much running time for SLPA in the low power design since it is of the local-updating advantage. A large number of experimental data show that the method only takes feasible running time (0.32 s) to obtain accurate results (3 σ-error <0.5% on maximum) as function block circuits simultaneous suffer from 7.5%(3 σ/mean) inter-die and 7.5% intra-die length variations, which demonstrates that our method is suitable for statistical leakage power analysis of VLSIs under rampant process variations.