视频监控系统中的动目标检测新方法

在分析了现有算法在复杂背景下所存在的不足的基础上,提出了一种适用于视频监控系统的基于视频序列像素时空相关性检测的动目标检测方法.该方法首先用每一帧中像素的空间相关性检测出目标,再用序列图像中目标的时间相关性检验目标的真实性,从而最终确定是否有运动目标.试验表明,该方法能很好地检测出运动目标,并具有较强的抗干扰能力.     

自蔓延高温合成技术的研究动态

对自蔓延高温合成技术(SHS)的最新研究动态进行了介绍,指出SHS技术作为一种制备和合成材料的新技术,以其高效、节能、经济、材料性能优良等优点,现已成为制备新材料的崭新途径,并提出自蔓延高温合成技术今后的研究方向。     

内初班学生学习适应性与心理健康相关研究——以石河子市为例

本研究采用《学习适应性测验》、《中国中学生心理健康量表》对石河子市内初班初一、初二年级少数民族学生进行了测查。结果表明:从总体上看学习适应性与心理健康之间存在显著相关;从内容上看心理健康与学习适应性之间存在显著相关;学习态度、学习环境和心身健康三个方面受到心理健康的影响最大。     

WinCC在数字化油库监控系统中的应用

为适应油库数字化建设需要,解决油库监控中区域分散、设备点多、监控面广导致的数据采集和统一管理较为困难、系统实时性差、可靠性低等问题,设计了基于WinCC的数字化油库监控系统。该设计应用OPC技术实现与控制器的数据交互,利用用户归档和变量归档,有效实现数据库的建立、查询和修改,克服了软件编程中与现场设备通信复杂和一般组态软件数据管理较差的缺陷,大大缩短了系统开发周期,使系统操作方便,界面友好美观,维护简单快捷,可广泛应用于油库监控。     

A standardized scan statistic for detecting spatial clusters with estimated parameters

The scan statistic based on likelihood ratios (LRs) have been widely discussed for detecting spatial clusters. When developing the scan statistic, it uses the maximum likelihood estimates of the incidence rates inside and outside candidate clusters to substitute the true values in the LR statistic. However, the parameter estimation has a significant impact on the sensitivity of the scan statistic, which favors the detection of clusters in areas with large population sizes. By presenting the effects of parameter estimation on Kulldorff's scan statistic, we suggest a standardized scan statistic for spatial cluster detection. Compared to the traditional scan statistic, the standardized scan statistic can account for the varying mean and variance of the LR statistic due to inhomogeneous background population sizes. Extensive simulations have been performed to compare the power of the two cluster detection methods with known or/and estimated parameters. The simulation results show that the standardization can help alleviate the effects of parameter estimation and improve the detection of localized clusters. © 2012 Wiley Periodicals, Inc. Naval Research Logistics, 2012     

基于特征融合的刀具磨损监测方法

提出了一种基于特征融合的刀具磨损监测方法,将该方法应用于铣刀磨损监测取得了较好的效果,文中论述了特征融合方法的基本思想,多传感器信号的特征关联、抽取及正规化处理,作为融合中心的神经网络的构造及训练等内容。实验分析表明,该方法实现刀具磨损监测是行之有效的。     

舰船防火区域划分原则研究

从舰船火灾发生的规律和特点出发,本着"重点在于防"的精神,论述了舰船防火区域划分的原则,并对防火区域划分标准提出改进建议.     

尺度自适应特征压缩跟踪

为在复杂环境中对目标进行长时间精确跟踪,提出一种尺度自适应特征压缩跟踪算法。通过结构约束性采样,获取不同尺度不同位置的扫描窗,离线计算不同尺度下的稀疏随机感知矩阵。在线跟踪时利用这些矩阵感知对应尺度的图像采样块,实现特征降维,提高运算速度。利用朴素贝叶斯分类器对降维特征判决,在线学习更新分类器参数,找出具有最高分类得分的采样块作为新的跟踪结果,实现跟踪位置及尺度的自适应更新。实验结果表明,该算法能适应目标的基本姿态变化及尺度缩放,不依赖于目标初始跟踪区域尺度选取,跟踪结果具有较强的鲁棒性。     

试析中学生心理健康教育课程的建设

随着社会的进步和发展,中学生的心理健康教育越来越受到社会各界的广泛关注。而心理健康教育课程作为发展学生心理健康教育的有效途径,已被很多研究者提上议程。本文针对开展中学生心理健康教育课程的必要性分析了目前我国已开展的心理健康教育课程潜在的问题,并提出建构中学生心理健康教育课程的意见。     

Growth and Fiscal Consequences of Terrorism in Nigeria

Abstract

In spite of government counter-terrorism expenditure and efforts, the incidence of terrorism in Nigeria appears to be rising. This paper examines the growth and fiscal consequences of terrorism in Nigeria by estimating the terrorism–macroeconomy relation using different measures of terror incidence. The results show that terrorism has an economically and statistically significant negative impact on growth; although this impact is considerably small and short-lived, manifesting only after a lag of about three years. Specifically, the cost of terrorism to Nigeria, in terms of lost GDP per annum, is estimated at 0.82%. Moreover, there is evidence that terrorism leads to the reallocation of economic activity away from private investment spending to government spending; that is, terrorism crowds out investment at a higher rate than its potential to crowd in government spending. Lastly, terrorism alters the composition of government expenditure – with the defence component of government expenditure rising vis-a-vis other expenditure items. The results are robust to allowing for dynamic interactions between terrorism and macroeconomic aggregates.