低温环境下超导体微位移测量的研究

在超导精密仪器的研制工作中有时需要测量杜瓦容器内超导体的微小位置变化.由于超导体需运行在极低温环境,运用常规方法难以对超导体的微小位移进行测量.作者选用光纤位移传感器进行非接触测量,研究了光纤位移传感器在室温和液氮温度下的静态传输特性.本项研究为超导体位移、振动的测量提供了一种新的方法.     

适用于硅微谐振器件测量的光纤位移传感器研究

对一种适用于硅微机械谐振器件测量的光纤位移传感器进行了研究,该光纤位移传感器探头采用了单根光纤探测形式和光纤“X”耦合器结构,在微弱光电传感信号处理上采用了“锁相放大器”提取方案,可以实现对静态位移和振动位移两种场合进行测量.对该传感器的实测结果表明:该传感器测量范围为0～100 μm,测量灵敏度3.95 mV/μm,精度等级优于1%,重复性优于0.5%.为作为应用实例,运用该传感系统对一种微悬臂梁硅微谐振器件进行了测量,成功提取了硅微谐振器件的微弱谐振信号,证实了该传感器可以实现对硅微谐振器件的非接触和无损测量,并具有非接触、易调试、高灵敏度等优点.     

等芯径等间距三光纤补偿式位移传感器的实验研究

介绍了补偿式光纤位移传感器的结构和原理,实验测量了等芯径等间距光纤位移传感器的输出特性和位移的关系. 结果表明:2根接收光纤各自的线性范围小,补偿后的光纤位移传感器不仅能改善测量的线性度,而且能在一定程度上放大传感器的线性测量范围. 补偿式光纤位移传感器采用等芯径等距离方式可以有效地消除光源输出强度波动、表面反射率不同和光纤传输损耗对输出特性的影响.     

基于强度补偿式光纤传感器测金属线胀系数

分析了强度补偿式光纤位移传感器的补偿机理.通过测量定标,应用最小二乘法确定了该传感器的特性曲线和拟合方程.使用强度补偿式光纤传感器测量了黄铜和铝杆的线胀系数.实验结果表明:强度补偿式光纤位移传感器采用比值运算法给出测量结果,其灵敏度高,稳定性好,用其测量微小位移,可消除一些传统测量方法中待测参量较多而引入过多测量误差的问题,实现非接触测量,且克服反射式非补偿位移传感器因光源光强波动、光纤传输介质损耗及环境光干扰所带来的测量误差.     

光纤传感器实验研究

本介绍了利用光纤传感器测量位移与振动的实验研究，并提出了扩展实验内容。     

反射式光纤位移传感器应用设计实验

基于光的反射原理并结合光纤传感器的特点,设计了反射式光纤位移传感器应用设计性实验.利用反射式光纤传感器测量微小位移的原理,通过测量输出电压与位移的关系确定工作点,测得表面柤糙程度不同的真假钞的输出信号,从而实现对纸币的真假识别.     

耦合型高频光纤振动传感器实验研究

提出了一种耦合型高频光纤振动传感器,并设计了相应的解调电路和信号处理系统.对高频振动信号的响应波形和频率进行了测量,研究了光纤传感器对不同的振动强度和不同方向的振动信号的响应,分析了不同结构和不同材质的传输介质对光纤传感器测量结果的影响.实验证明所设计的耦合型高频光纤振动传感器截止频率达到8 kHz,振幅测量灵敏度为325 mV/mm,频率和幅值响应误差小于1%.     

耦合型光纤振动传感器实验研究

根据单模光纤耦合器的耦合比对耦合区长度变化敏感的特点,提出了一种耦合型光纤振动传感器,并设计了相应的解调系统对传感器的响应进行光电转换和信号处理.进行了静态和动态测试并给出了传感器在振动和冲击激励下的响应曲线,实验结果和压电传感器的测量结果相吻合.结果表明,耦合型光纤振动传感器不仅满足振动测量的要求,而且具有测量准确度高,制作简单,成本较低等优点.     

一种新型光纤振动传感器

提出一种新的利用共振原理对微振动放大进行测量的光纤振动传感器.光纤振动不受强电磁场和温度变化影响,可用于大型发电机(300mW)定子端部绕组微振动的在线测量.实验结果表明该光纤振动传感器可以达到相当高的精度,对解决特殊环境下微振动的实时监控有重要应用价值.     

具有温度补偿的光纤位移传感器

位移测量是结构健康检测的重要参量之一.本文提出了一种双悬臂梁粘贴光纤光栅的位移传感器,它将位移变化转换成两只光纤光栅的波长移动,实现对位移量的绝对测量.通过引入对称补偿光纤光栅的方法解决了温度与位移交叉敏感的问题.推导了位移传感器的工作原理,完成了相关实验,并分析了传感器所产生误差的来源.实验结果表明,在量程为20 m...     

Infants' sensitivity to non-adjacent dependencies across phonological phrase boundaries

Natural languages contain numerous non-adjacent relationships between words or morphemes in a sentence, often straddling phonological phrase boundaries (e.g., [these sheep] [have [ellipsis (horizontal)]]). Since phonological phrases are considered the main processing unit for infants, this may cause the acquisition of cross-phrase dependencies to be challenging. This study, however, shows that by 17 months of age, French-learning infants have nonetheless gained sensitivity to remote determiner-auxiliary co-occurrences that are interceded by phonological phrase boundaries. Infants thus possess a robust mechanism for tracking non-adjacent dependencies. This ability is essential for early grammatical development.     

Functional data analysis of prosodic effects on articulatory timing

An application of functional data analysis (FDA) (Ramsay and Silverman, 2005, Functional Data Analysis, 2nd ed. (Springer-Verlag, New York)) for linguistic experimentation is explored. The functional time-registration method provided by FDA is shown to offer novel advantages in the investigation of articulatory timing. Traditionally, articulatory studies examining the effects of linguistic variables such as prosody on articulatory timing have relied on comparing the durations of speech intervals of interest defined by kinematic landmarks. Such measurements, however, do not preserve information on the detailed, continuous pattern of articulatory timing that unfolds during these intervals. We present an approach that allows the analysis of entire, continuous kinematic trajectories obtained in a movement tracking experiment examining the influence of a phrasal boundary on articulatory patterning. FDA time deformation functions, after alignment of test and reference (control) signals, reveal delaying of articulator movement (i.e., slowing of the internal clock rate) in the presence of a phrase boundary as the speech stream recedes from the boundary. This is a theoretically predicted pattern (Byrd and Saltzman, 2003, The elastic phrase: Modeling the dynamics of boundary-adjacent lengthening, Journal of Phonetics 31, 149-180.), which would be more difficult to validate with a traditional interval-based approach. It is concluded that the FDA time alignment method provides a useful tool for characterizing timing patterns in linguistic experimentation based on continuous kinematic trajectories.     

Internal deformation of a uniform elastic solid by acoustic radiation force

Tissue elasticity estimation is a growing area of ultrasound research. One proposed approach would apply acoustic radiation force to displace tissue and use ultrasonic motion tracking techniques to measure the resultant displacement. Such a technique might allow noninvasive imaging of tissue elastic properties. The potential of this method will be limited by the magnitude of displacements which can be generated at reasonable acoustic intensity levels. This paper presents methods for estimating the internal displacements induced in an elastic solid by acoustic radiation force. These methods predict displacements on the order of 400 microns in the human vitreous body, 0.008 micron in human breast, and 0.020 micron in human liver at an acoustic intensity of 1.0 W/cm2 (in water) and an operating frequency of 10 MHz. While the displacement generated in the vitreous should be readily detectable using ultrasonic methods, the displacements generated in the breast and liver will be much more difficult to detect. Methods are also developed for predicting the time dependent temperature increases associated with attenuated acoustic fields in the absence of perfusion. These results indicate promise for radiation force imaging in the vitreous, but potential difficulties in applying these techniques in other parts of the body.     

Developmental patterns of speech production in children

It has been suggested that pauses between words could act as indices of processes such as selection, retrieval or planning that are required before an utterance is articulated. For normal meaningful phrase utterances, there is hardly any information regarding the relationship between articulation and pause duration and their subsequent relation to the final phrase duration. Such associations could provide insights into the mechanisms underlying the planning and execution of a vocal utterance. To execute a fluent vocal utterance, children might adopt different strategies in development. We investigate this hypothesis by examining the roles of articulation time and pause duration in meaningful phrase utterances in 46 children between the ages of 4 and 8 years, learning English as a second language.Our results indicate a significant reduction in phrase, word and interword pause duration with increasing age. A comparison of pause, word and phrase duration for individual subjects belonging to different age groups indicates a changing relationship between pause and word duration for the production of fluent speech. For the youngest children, a strong correlation between pause and word duration indicates local planning at word level for speech production and thus greater dependence of pause on immediate word utterance. In contrast for the oldest children we find a significant drop in correlation between word and pause indicating the emergence of articulation and pause planning as two independent processes directed at producing a fluent utterance. Strong correlations between other temporal parameters indicate a more holistic approach being adopted by the older children for language production.     

Realignment of myocardial first-pass MR perfusion images using an automatic detection of the heart-lung interface

Magnetic resonance first-pass imaging of a bolus of contrast agent is well adapted to distinguish normal and hypoperfused areas of the myocardium. In most cases, the signal intensity-time curves in user defined regions of interest (ROI) are studied. As image acquisition is ECG-gated, the images are acquired at the same moment in the cardiac cycle, and the basic shape of the heart is similar from one view to the next. However, superficial respiratory motion can displace the heart in the short-axis plane. The aim of this study is to correct for the respiratory motion of the heart by performing an automatic realignment of the myocardial ROI based on a method tracking the movement of the lung-myocardium interface. Visual and quantitative analyses performed on 120 curves show a very good concordance between two automatic methods and the manual one.     

Optimized swimmer tracking system based on a novel multi-related-targets approach

Robust tracking is a crucial step in automatic swimmer evaluation from video sequences. We designed a robust swimmer tracking system using a new multi-related-targets approach. The main idea is to consider the swimmer as a bloc of connected subtargets that advance at the same speed. If one of the subtargets is partially or totally occluded, it can be localized by knowing the position of the others. In this paper, we first introduce the two-dimensional direct linear transformation technique that we used to calibrate the videos. Then, we present the classical tracking approach based on dynamic fusion. Next, we highlight the main contribution of our work, which is the multi-related-targets tracking approach. This approach, the classical head-only approach and the ground truth are then compared, through testing on a database of high-level swimmers in training, national and international competitions (French National Championships, Limoges 2015, and World Championships, Kazan 2015). Tracking percentage and the accuracy of the instantaneous speed are evaluated and the findings show that our new appraoach is significantly more accurate than the classical approach.     

Illusory transformation from speech to song

An illusion is explored in which a spoken phrase is perceptually transformed to sound like song rather than speech, simply by repeating it several times over. In experiment I, subjects listened to ten presentations of the phrase and judged how it sounded on a five-point scale with endpoints marked "exactly like speech" and "exactly like singing." The initial and final presentations of the phrase were identical. When the intervening presentations were also identical, judgments moved solidly from speech to song. However, this did not occur when the intervening phrases were transposed slightly or when the syllables were presented in jumbled orderings. In experiment II, the phrase was presented either once or ten times, and subjects repeated it back as they finally heard it. Following one presentation, the subjects repeated the phrase back as speech; however, following ten presentations they repeated it back as song. The pitch values of the subjects' renditions following ten presentations were closer to those of the original spoken phrase than were the pitch values following a single presentation. Furthermore, the renditions following ten presentations were even closer to a hypothesized representation in terms of a simple tonal melody than they were to the original spoken phrase.     

Multilevel modeling of between-speaker and within-speaker variation in spontaneous speech tempo

Speech tempo (articulation rate) varies both between and within speakers. The present study investigates several factors affecting tempo in a corpus of spoken Dutch, consisting of interviews with 160 high-school teachers. Speech tempo was observed for each phrase separately, and analyzed by means of multilevel modeling of the speaker's sex, age, country, and dialect region (between speakers) and length, sequential position of phrase, and autocorrelated tempo (within speakers). Results show that speech tempo in this corpus depends mainly on phrase length, due to anticipatory shortening, and on the speaker's country, with different speaking styles in The Netherlands (faster, less varied) and in Flanders (slower, more varied). Additional analyses showed that phrase length itself is shorter in The Netherlands than in Flanders, and decreases with speaker's age. Older speakers tend to vary their phrase length more (within speakers), perhaps due to their accumulated verbal proficiency.     

Improved particle filters for multi-target tracking

We present a novel approach for improving particle filters for multi-target tracking. The suggested approach is based on drift homotopy for stochastic differential equations. Drift homotopy is used to design a Markov Chain Monte Carlo step which is appended to the particle filter and aims to bring the particle filter samples closer to the observations while at the same time respecting the target dynamics. We have used the proposed approach on the problem of multi-target tracking with a nonlinear observation model. The numerical results show that the suggested approach can improve significantly the performance of a particle filter.     

一种基于Kalman滤波的环形模板匹配相关跟踪算法(英文)

为了解决在目标跟踪系统中,传统相关算法在目标发生目标局部遮挡或旋转等姿态变化较大的情况时容易跟踪丢失的问题,提出一种改进的基于卡尔曼预测器的环形模板匹配相关跟踪的算法.利用卡尔曼预测器来预测下一帧目标可能出现的区域,然后在较小的预测区域中进行环形相关匹配运算,找到最佳相关匹配点,使跟踪更具主动性。环形匹配还可以克服由于姿态变化而引起的横向匹配点丢失,从而可以跟踪各种姿态运动的机动目标.实验中,利用改进算法对出现局部遮挡情况的姿态变化大的运动目标进行跟踪,传统算法处理此类情况容易跑飞,而本文算法不受这两种跟踪局限性的干扰,始终稳定跟踪机动目标且耗时大幅减少.