Theoretical Correlations and Measured Correlations: Relating Recognition and Recall in Four Distributed Memory Models.

This article addresses the relation between item recognition and associative (cued) recall. Going beyond measures of performance on each task, the analysis focuses on the degree to which the contingency between successful recognition and successful recall of a studied item reflects the commonality of memory processes underlying the recognition and recall tasks. Specifically, 4 classes of distributed memory models are assessed for their ability to account for the relatively invariant correlation (≈ .5) between successive recognition and recall. Basic versions of each model either under- or overpredict the intertask correlation. Introducing variability in goodness-of-encoding and response criteria, as well as output encoding, enabled all 4 models to reproduce the moderate intertask correlation and the increase in correlation observed in 2 mixed-list experiments. This model-based analysis provides a general theoretical framework for interpreting contingencies between successive memory tests. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

基于离散泰勒级数的新型联想记忆系统

基于离散泰勒级数提出一种对任意阶多维函数可实现无差逼近的新型联想记忆系统，详细讨论了该系统的插值算法、训练规则及寻址机制，新型联想记忆系统相对于CMAC具有逼近精度更高、占用存储单元较少、学习速度较快等优点，该系统在信号处理、模式识别、过程建模及高精度实时智能控制等领域具有广泛的应用价值，仿真实例表明了系统的可行性与有效性。     

Memory Management for Real-Time Java: An Efficient Solution using Hardware Support*

This paper addresses the issue of improving the performance of memory management for real-time Java applications, building upon the real-time specification for Java (RTSJ) from the Real-Time Java Expert Group. In a first step, a collecting dynamic memory solution including both a real-time garbage collector and region-based memory management, is proposed. A thorough analysis of the parameters influencing the performance of write barriers in memory management, together with ways of improvement are then presented. Finally, the implementation of a memory management solution compliant with the RTSJ and integrating the proposed improvements is sketched.     

DTM350-600磨煤机大轴断裂分析

针对陕西渭河发电有限责任公司5号炉磨煤机乙磨大轴断裂失效进行了金属分析。结果表明应加强制造质量监控和实施设备全过程金属监督。     

Structured Latent Curve Models for the Study of Change in Multivariate Repeated Measures.

This article considers a structured latent curve model for multiple repeated measures. In a structured latent curve model, a smooth nonlinear function characterizes the mean response. A first-order Taylor polynomial taken with regard to the mean function defines elements of a restricted factor matrix that may include parameters that enter nonlinearly. Similar to factor scores, random coefficients are combined with the factor matrix to produce individual latent curves that need not follow the same form as the mean curve. Here the associations between change characteristics in multiple repeated measures are studied. A factor analysis model for covariates is included as a means of relating latent covariates to the factors characterizing change in different repeated measures. An example is provided. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

分布式存储环境下的加性Schwarz方法

引言 区域分裂方法起源于古老的schwarz交替方法[l].八十年代末期,法国数学家P.L.LionS提出了schwarz交替方法的投影解释[2一4],使得人们对schwarz交替方法有了全新的认识,为其进一步发展奠定了理论基础.由于并行计算环境的逐渐成熟以及预处理技术的兴起和大规模科学计算的需要,由严格串行的scliwarz交替方法发展了多种可完全并行的     

Surface Actuation of Lightweight Mirrors with Shape Memory Alloy

The ability to create lightweight mirrors that can maintain surface accuracy is a major technical challenge for future space telescopes. Processing-induced errors and surface errors due to temperature excursions and gravity sag (zero gravity in space) make it impossible to correct the surface of thin mirror face-sheets by conventional point actuators. The challenges are compounded by the requirements for mirrors to have adequate stiffness for pointing accuracy. An experimental and analytical study was conducted to explore the feasibility of correcting the shape of lightweight (≈1 kg/m2) mirrors using a “Nitinol” (nickel-titanium) shape memory alloy (SMA). Shape memory alloys are increasingly used as smart devices in aerospace applications. Their primary advantage over other smart materials (i.e., piezo-ceramics and piezo-polymers) is in their ability to undergo large strains and displacements and thus enable the development of smart mechanisms. Active shape correction is the only means of mitigating heat and zero-gravity-induced distortions in space-based optical imaging systems. The repeatability and reliability of a possible actuation system based on properties of the SMA wires were studied by testing the stress-strain and stress recovery behavior under controlled conditions. Embedded SMA wires were then used to actuate a composite beam, and the movement induced by actuation was monitored with the Moiré interferometry method.     

Martensitic stabilization and defects induced by deformation in TiNi shape memory alloys

Martensitic stabilization caused by deformation in a TiNi shape memory alloy was studied.Special attention was paid to the deformed microstructures to identify the cause of martensitic stabilization.Martensitic stabilization was demonstrated by differential scanning calorimetry for the tensioned TiNi shape memory alloy.Transmission electron microscopy revealed that antiphase boundaries were formed because of the fourfold dissociation of[110]B19'super lattice dislocations and were preserved after reverse transformation due to the lattice correspondence.Martensitic stabilization was attributed to dislocations induced by deformation,which reduced the ordering degree of the microstructure,spoiled the reverse path from martensite to parent phase compared with thermoelastic transformation,and imposed resistance on phase transformation through the stress field.     

动态核的形态分解联想算法及抗随机噪声研究

在灰度图像分解算法和动态核形态联想记忆网络的基础上,提出了一种新的联想记忆算法--动态核的形态分解联想算法.该方法显著地提高了联想记忆抗随机噪声的能力,较好地解决了灰度图像在含噪时的联想记忆和识别的问题,从而给出了一种恢复含噪灰度图像的途径,并把该方法推广到了彩色图像的处理.通过实验,验证了该方法的良好性能,取得了理想的结果.