基于悬浮体系的大跨度铁路斜拉桥减震控制方案模拟分析

本文提出了基于悬浮体系的大跨度斜拉桥结构减震控制方案。用El Centro波模拟计算了采用非正常使用状态下,斜拉桥悬浮体系的空间动力反应,尤其是控制截面的内力反应,并与其它约束条件下的结构动力反应进行了对比,证实了采用悬浮体系,实现大跨铁路斜拉桥主动减震控制的可行性;进而利用联想记忆智能化混合结构控制算法,进一步优化结构控制效果,通过仿真计算说明了采用该控制算法实施控制的有效性;最后概略介绍了准备实施模拟试验的控制驱动装置方案,给出了本文的小结。     

石英ESR法在黄河现代沉积物物源示踪研究中的可行性分析

石英ESR信号示踪法作为一种新的物源示踪方法,已经被较好地应用于东亚地质历史时期风尘堆积物和现代沙尘沉降物的物源示踪研究中。首先简要回顾了石英ESR信号示踪法的研究现状,进一步基于石英ESR信号示踪法的母岩年代和结晶度原理,探讨该方法对黄河沉积物物源示踪的可行性及应用前景。     

基于交通安全的交叉口倒计时信号灯设置研究

交通信号倒计时装置被国内一些城市广泛采用。在体现交通“以人为本”原则的同时,倒计时装置的应用也应注意其带来了一些交通安全和通行效率上的问题。倒计时会诱发一部分驾驶员在绿灯末尾时加速通过路口,和红灯变绿灯下一相时头车提前高速到达冲突点,可能引发重特大交通事故,因而需要更长的绿灯间隔时间保证信号换相时的交通安全。由于绿灯间隔时间增长,交通信号倒计时装置降低了交叉口的通行能力,且不当的绿间隔设置还会造成严重的交通冲突。因而应谨慎采用机动车交通信号灯倒计时装置,并应辅以绿灯间隔时间调整、交通安全宣传教育和明确交通规则等措施。     

消防监控界面的语音信号研究

以汉语消防用语为实验材料,结合消防界面使用环境的高噪音特点,通过工效学实验,研究不同长度、内容的语音信号在不同噪音水平下的可懂度。结果表明,人对语音信号的获取与识别受到噪音水平以及信号内容、长度的影响。在不同水平的噪音背景下,语音信号的参数呈现不同的变化趋势。噪音对信号的掩蔽作用显著,其中低音最易被掩蔽。在消防监控界面中,语音信号的适宜语声为女中音。词类信号的适宜语速为5字/秒,普通句的适宜语速为7字/秒,含数字句的适宜语速为6字/秒。实验结果为设计者在消防界面中使用语音信号提供了依据,有助于缓解视觉通道压力,提高信息获取的速度和准确性,从而缩短火情侦察的时间与范围,降低火灾伤亡。     

用独立分量分析方法实现地震转换波与多次反射波分离

独立分量分析(ICA)是新兴的一种统计学方法。其目的是寻求对非高斯分布数据进行有效表示,使得各个基分量在统计学意义上独立,或者尽最大可能独立。这种表示意在获取数据的基本结构,可有效实现特征提取和信号分离。本文概述ICA的基本理论和快速算法,并在分析地震记录特点的基础上,阐明采用ICA方法可以实现对沉积地区远震记录中转换波和多次反射波的分离。研究结果表明,ICA方法可有效地分离地震转换波和多次反射波,并由此获得较为合理的地下间断面初步解释结果,从而有利于扩展接收函数技术的应用。     

基于脑电数据的管制架次对管制员疲劳影响研究

为量化研究管制区域内飞机架次的时空变化对管制员疲劳的影响,设计相应测试方案进行试验研究。有针对性地选取20名在职管制员分别在大、小夜班的班前和班后进行试验,采集完成不同流量等级下雷达模拟机任务过程中的管制员的脑电(EEG)信号数据,从数据中提取疲劳指标值,运用SPSS20.0软件统计分析指标值,根据管制员的岗龄将其分成2组进行比较,线性拟合班前班后的管制员疲劳指标值。结果表明:岗龄≥10年的管制员疲劳指标值及其波动性明显低于岗龄<10年的管制员;班前管制员疲劳指标值随管制架次的增加中后期呈下降趋势;班后管制员的疲劳指标值随管制架次的增加而增长,随时间呈3次曲线变化。     

小波奇异性在地震信号去噪中的应用

论文介绍了地震信号的去噪过程中,利用小波良好的时频局部化能力和多分辨率分析能力,对信号进行变换,利用变换后的幅值极大点检测出信号的奇异点(突变点,包含了震相和噪声),继而利用在不同的变换尺度下,震相信号和噪声模极大值的变化特征的不同来去除噪声.利用我台的地震信号进行验证,该方法去噪后震相更清晰,震相的标注信度更高.     

群体感应信号分子存在下磺胺对大肠杆菌生长、突变及R388质粒接合转移的影响

抗生素的滥用使细菌耐药性问题日益突出,给许多疾病的预防与控制增加了难度。基因突变和质粒接合转移是细菌获得抗生素抗性基因的主要方式,许多研究围绕抗性基因来展开,但是关于群体感应对于抗性基因产生和传播的影响鲜有报道。本文以大肠杆菌(Escherichia coli)为模式生物,群体感应信号分子N-(β-酮己酰)-L-高丝氨酸内酯(3-oxo-C6-HSL,C6)和3种磺胺类抗生素(磺胺嘧啶、磺胺甲恶唑、磺胺氯哒嗪)为研究对象,测定了其对大肠杆菌生长效应、突变效应及接合转移效应的影响。结果表明:C6不影响磺胺对大肠杆菌的生长抑制率,但能够削弱磺胺对大肠杆菌突变的促进作用,并且能增强磺胺对大肠杆菌R388质粒接合转移的抑制作用。本文为从群体感应角度研究大肠杆菌耐药性的产生与传播提供新思路。     

Automated detection of frog calls and choruses by pulse repetition rate

Anurans (frogs and toads) are among the most globally threatened taxonomic groups. Successful conservation of anurans will rely on improved data on the status and changes in local populations, particularly for rare and threatened species. Automated sensors, such as acoustic recorders, have the potential to provide such data by massively increasing the spatial and temporal scale of population sampling efforts. Analyzing such data sets will require robust and efficient tools that can automatically identify the presence of a species in audio recordings. Like bats and birds, many anuran species produce distinct vocalizations that can be captured by autonomous acoustic recorders and represent excellent candidates for automated recognition. However, in contrast to birds and bats, effective automated acoustic recognition tools for anurans are not yet widely available. An effective automated call-recognition method for anurans must be robust to the challenges of real-world field data and should not require extensive labeled data sets. We devised a vocalization identification tool that classifies anuran vocalizations in audio recordings based on their periodic structure: the repeat interval-based bioacoustic identification tool (RIBBIT). We applied RIBBIT to field recordings to study the boreal chorus frog (Pseudacris maculata) of temperate North American grasslands and the critically endangered variable harlequin frog (Atelopus varius) of tropical Central American rainforests. The tool accurately identified boreal chorus frogs, even when they vocalized in heavily overlapping choruses and identified variable harlequin frog vocalizations at a field site where it had been very rarely encountered in visual surveys. Using a few simple parameters, RIBBIT can detect any vocalization with a periodic structure, including those of many anurans, insects, birds, and mammals. We provide open-source implementations of RIBBIT in Python and R to support its use for other taxa and communities.     

The effect of repeated vibration signals on worker behavior in established and newly founded colonies of the honey bee, <Emphasis Type="Italic">Apis mellifera</Emphasis>

Communication signals used in animal social interactions are frequently performed repetitively, but the function of this repetition is often not well understood. We examined the effects of signal repetition by investigating the behavior of worker honey bees that received differing numbers of vibration signals in established and newly founded colonies, which could use signal repetition differently to help adjust task allocations to the labor demands associated with the different stages of colony development. In both colony types, more than half of all monitored workers received more than one vibration signal, and approximately 12% received ≥5 signals during a given 20-min observation period. Vibrated recipients exhibited greater activity and task performance than same-age non-vibrated controls at all levels of signal activity. However, vibrated workers showed similar levels of task performance, movement rates, cell inspection rates, and trophallactic exchanges regardless of the number of signals received. Thus, the repeated performance of vibration signals on individual bees did not cause cumulative increases in the activity of certain workers, but rather may have functioned to maintain relatively constant levels of activity and task performance among groups of recipients. The established and newly founded colonies did not differ in the extent to which individual workers received the different numbers of vibration signals or in the levels of activity stimulated by repeated signals. Previous work has suggested that compared to established colonies, newly founded colonies have a greater number of vibrators that perform signals on a greater proportion of the workers they contact. Taken in concert, these results suggest that vibration signal repetition may help to adjust task allocations to the different stages of colony development by helping to maintain similar levels of activity among a greater total number of recipients, rather than by eliciting cumulative effects that cause certain recipients to work harder than others.