The Attentional Dynamics of Masked Detection.

A dichoptic masking procedure was used to test whether the mask-dependent cuing effects found in luminance detection by P. L. Smith (2000a) were due to integration masking or interruption masking. Attentional cuing enhanced detection sensitivity (d') when stimuli were backwardly masked with either dichoptic or monoptic masks, whereas no cuing effect was found with unmasked stimuli, implying the mask dependencies were due to interruption of stimulus processing in visual cortex by the mask. The effect is predicted by a gated diffusion process model in which masks interrupt stimulus processing and attention controls the flow of information to a sequential-sampling decision mechanism. The model correctly predicts different patterns of performance for detection and discrimination and cuing effects in simple reaction time. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

声表面波谐振器无源无线传感虚拟仪器系统

分析了在通用硬件平台上结合软件设计的声表面波谐振器无源无线传感虚拟仪器系统。该系统通过设计虚拟仪器实现部分硬件功能,控制闭环系统实现自动检测,并采用数字信号处理方法提高检测系统的精度,从而避免了通常的复杂硬件系统,降低硬件成本,并使检测更灵活。本文介绍了设计原理和系统构成,并对系统的误差进行了分析。实验表明:该仪器系统能够达到5m的无线检测距离。     

Detection filter design for LPV systems—a geometric approach

This paper investigates fault detection and isolation of linear parameter-varying (LPV) systems by using parameter-varying (C,A)-invariant subspace and parameter-varying unobservability subspaces. The so called “detection filter” approach, formulated as the fundamental problem of residual generation (FPRG) for linear time-invariant (LTI) systems, is extended for a class of LPV systems. The question of stability is addressed in the terms of Lyapunov quadratic stability by using linear matrix inequalities. The results are applied to the model of a generic small commercial aircraft.     

Nanometer edge and surface imaging using optical scatter

Imaging of edges to nanometer resolution using a novel non-contact technique is presented. This technique relies on positioning an optical beam to the edge, and simultaneously scanning, and measuring differential changes in off-specular scatter. Data may be used to calculate the radius at the edge to high accuracy. The experimental apparatus is capable of producing diffraction images of features on surfaces arising from processes used in sample preparation. Images of the cleaved edge of an optical fiber, an Au pad on Si, and cleaved quartz measured on this apparatus are presented. This technique could also be utilized to analyze cleaved laser diodes, micro-optics, MEMS devices, and diamond cutting tools.     

A distributed deadlock detection algorithm for mobile computing system

The mode of mobile computing originated from distributed computing and it has the un-idempotent operation property, therefore the deadlock detection algorithm designed for mobile computing systems will face challenges with regard to correctness and high efficiency. This paper attempts a fundamental study of deadlock detection for the AND model of mobile computing systems. First, the existing deadlock detection algorithms for distributed systems are classified into the resource node dependent （ RD ） and the resource node independent （RI） categories, and their corresponding weaknesses are discussed. Afterwards a new RI algorithm based on the AND model of mobile computing system is presented. The novelties of our algorithm are that： 1 ） the blocked nodes inform their predecessors and successors simultaneously; 2） the detection messages （agents） hold the predecessors information of their originator; 3 ） no agent is stored midway. Additionally, the quit-inform scheme is introduced to treat the excessive victim quitting problem raised by the overlapped cycles. By these methods the proposed algorithm can detect a cycle of size n within n - 2 steps and with （ n^2- n - 2 ）/2 agents. The performance of our algorithm is compared with the most competitive RD and RI algorithms for distributed systems on a mobile agent simulation platform. Experiment results point out that our algorithm outperforms the two algorithms under the vast majority of resource configurations and concurrent workloads. The correctness of the proposed algorithm is formally proven by the invariant verification technique.     

高速公路交通事件检测影响因素分析

高速公路交通事件的有效检测对保证交通安全、提高运输效率具有重大的经济效益和社会效益。文章首先对高速公路交通事件进行了种类划分,分别分析了常发性交通事件和偶发性交通事件对交通流的影响。采用交通仿真软件TSIS（traffic software integration systems）获取研究所需的数据,研究和分析如何进行交通事件检测算法的参数选择。通过对仿真数据的分析,发现以车辆占有率作为交通事件的检测参数更为合理。     

海空背景下红外弱小目标检测方法

针对在海上搜救中弱小目标难以被发现的情况,提出了一种海空背景下红外弱小目标的检测方法.该方法首先进行背景预测,然后将原图像和背景预测后的图像差分进行目标提取,使用Top-Hat变换对目标提取后的差分图像进行滤波处理以去除残余波浪噪声影响,最后使用自适应阈值检测,检测出弱小目标所在的方位.通过和传统的对单帧图像采取Top-Hat变换滤波做法的比较,可以看出来该方法可以较好的去除海浪的影响,检测出亮度较高的红外运动弱小目标,辅助海上搜救工作的完成.     

62A钢丝冷拔断裂问题分析

利用扫描电镜(SEM)、能谱分析仪(EDS)等手段,对62A钢丝在拉拔过程中出现的断裂问题进行了研究。通过对不同类型断口的分析结果发现,钢丝断口形貌主要分为平面状和杯锥状2大类,根据不同的断口形貌其断裂类型可分为脆性断裂和韧性断裂。在拉拔过程中的断裂主要是由钢丝内存在较大的夹杂物、元素偏析以及钢丝表面缺陷等原因造成的。     

基于人工免疫的入侵检测改进模型研究

在前人提出的基于人工免疫的入侵检测模型的基础上,加入了抗体精度匹配阀值和粗糙匹配频度阀值以改进其算法中对于self—nonself的判断处理方法,使得对于正常的突发性网络事件也可以进行合理的判断,从而加强了对网络事件检测的灵活性,并提出了改进后的入侵检测与防御体系模型．最后通过仿真测试,证明本模型在对突发性网络事件判断的灵活性、合理性和可行性,优于前人的基于人工免疫的入侵检测模型．     

基于深度特征合成和关联规则的数据库异常访问检测

企业或组织内部的重要数据都存储在数据库中,因此数据库经常成为恶意入侵者的攻击目标。传统防火墙对于来自外部的入侵者有着很好的抵御作用,但无法检测来自系统内部人员的异常访问。针对数据库异常访问检测中存在的不足和缺陷,提出了一种基于深度特征合成(DFS)和关联规则(Apriori)算法的异常检测方法。通过对比BP神经网络、随机森林和C4.5决策树等3种其他检测算法表明,新提出的方法能够更加高效地提取用户特征,从而使检测的精准率和效率有显著提升。