密度均匀连续分层流体的内波格林函数

考虑自由表面的影响,从理论上建立了在密度均匀的连续分层流体中脉动点源生成内波的数理模型,应用Fourier变换和围道积分,推导出点源脉动频率的平方小于Brunt-Visl频率的平方条件下含自由面的连续分层流体中脉动点源的内波格林函数,并给出了详细的解析表达式,讨论了解的性质、内波的生成机理和自由面的干扰机理及波动特征.结果表明,所提出的连续分层流体中脉动点源的内波生成格林函数具有较好的准确性.     

A velocity program using the Kanade–Lucas–Tomasi feature-tracking algorithm with demonstration for pressure and electroosmosis conditions

Investigating microfluidic flow profiles is of interest in the microfluidics field for the determination of various characteristics of a lab-on-a-chip system. Microparticle tracking velocimetry uses computational methods upon recording video footage of microfluidic flow to ultimately visualize motion within a microfluidic system across all frames of a video. Current methods are computationally expensive or require extensive instrumentation. A computational method suited to microparticle tracking applications is the robust Kanade–Lucas–Tomasi (KLT) feature-tracking algorithm. This work explores a microparticle tracking velocimetry program using the KLT feature-tracking algorithm. The developed program is demonstrated using pressure-driven and EOF and compared with the respective mathematical fluid flow models. An electrostatics analysis of EOF conditions is performed in the development of the mathematical using a Poisson's Equation solver. This analysis is used to quantify the zeta potential of the electroosmotic system. Overall, the KLT feature-tracking algorithm presented in this work proved to be highly reliable and computationally efficient for investigations of pressure-driven and EOF in a microfluidic system.     

基于CSI离散指纹的轨迹跟踪方法

针对从Wi-Fi设备中获取的接收信号强度(RSSI)在定位过程中误差较大的问题，设计了一种基于信道状 态信息(CSI) 离散指纹的轨迹跟踪方法．首先经过汉佩尔滤波，巴特沃斯低通滤波去除了CSI异常值和噪声的影响， 然后利用线性回归算法去除相位的频移误差，继而采用协方差矩阵特征值法进行特征提取，最后通过基于CSI子 载波权重的主成分分析法进行了无源定位和轨迹跟踪．实验结果表明: 离散指纹点定位的平均正确率在 90%以上， 所设计的算法能有效实现对室内人员的定位和轨迹跟踪．     

深水沉积研究综述及未来方向

深水沉积自上世纪50年代开始为人们所关注。深水沉积理论在争论中发展,并取得了一定的成就。由于对深水沉积研究相对较少,因此对深水沉积作用认识十分有限。回顾深水沉积的研究历程、概览其研究现状,对于总结存在问题、展望发展方向具有深远的意义。通过大量调研国内外深水沉积研究实例,概述了它们的研究进展,详细阐述了基于浊流沉积理论而建立的海底扇模式,等深流沉积的垂向层序,内潮汐沉积的特征及形成机理。同时,文中指出当前深水沉积研究存在的若干问题:深水重力流沉积研究尚存在诸多争论,深水牵引流沉积的识别仍存在困难。深水沉积物成因复杂,未来的深水沉积研究应注重多学科交叉发展,建立深水牵引流和深水重力流两种搬运机制共同作用的深水沉积模式,提高深水沉积物的可预测性,进而指导深水油气勘探。     

The Reaction Activity of Aromatic Carbonyl Compounds with Diphenylphosphine Oxide Studied by 31P NMR

Abstract

A series of α-hydroxyphosphine oxides were prepared by the reactions of diphenylphosphine oxide and aromatic carbonyl compounds and characterized by ¹H NMR, ¹³C NMR, ³¹P NMR, FT-IR, ESI-MS, and HR-MS spectra. The reaction rates and experimental conditions of aromatic aldehydes and aromatic ketones were obviously different due to the activity of their carbonyls. The different substituents of the aromatic aldehydes affected the reaction rate too, and the quantitative reactivity of their substituent conformed to the Hammett equation. The results were confirmed by ³¹P NMR spectroscopy.     

室内环境中脑控轮椅的路径跟踪控制

为了实现室内环境中脑控轮椅的自主导航,提出了一种简单有效的路径跟踪控制方法。给定的路径通常被表示为一系列离散点,根据这一特点,提出了分段直线路径跟踪方法,即依次跟踪由前后两个路径点构成的直线路径到达目标点。基于预瞄点技术并结合模糊算法和传统的PID控制方法设计控制器,完成各分段直线路径的跟踪,并给出了有效的切换条件。实验结果表明,本文提出的路径跟踪控制方法能够使脑控轮椅在室内环境中精确地跟踪给定路径。     

Differentiating bulk nanobubbles from nanodroplets and nanoparticles

History has shown that it is not as easy as one might think to differentiate between bulk nanobubbles and nanodroplets or nanoparticles. It is generally easy to detect colloids (i.e. something that looks different, e.g. scatters light differently than its surrounding solvent), but less easy to determine the nature of these colloids. This has led to misinterpretations in the literature, where nanodroplets or nanoparticles have mistakenly been assumed to be nanobubbles. In this paper, we review a multitude of experimental methods and approaches to prove the existence of bulk nanobubbles. We conclude that combinations of optical detection with physical perturbations such as pressure or ultrasound, or phase-sensitive holographic methods are the most promising and convenient approaches.     

基于眼动追踪技术的高中生化学问题解决的差异性研究——以“氧化还原反应”为例

以氧化还原反应相关试题作为测试材料,采用眼动追踪技术对12名高一学生进行3(学业水平)*3(试题难度)两因素混合实验,实验结束后进行追述性口语报告。结果表明,在氧化还原反应问题解决过程中学优生信息加工速度快、深度浅、难度小,采用正向加工和逆向排除结合的策略。学中生信息加工速度慢、深度深、难度大,采用正向加工策略。学困生轻易放弃,信息加工无效。随着问题难度的增大,学生信息加工速度变慢、深度变深、难度变大。     

对象迁移自动机在TDT中的聚类研究

对象迁移自动机(OMA)是一种能够较好地解决话题识别与跟踪(TDT)中聚类问题的方法,但是,传统OMA模型由于聚类速度慢等缺点,难以满足TDT实时和增量聚类的要求.针对这一问题,本文一方面改进传统的OMA模型中自动机的动作设计,同时提出文档选择策略,加快了OMA的聚类速度.改进的方法在中等文档集上进行了实验,实验结果表明,该方法具有较好的聚类效果.     

机动目标跟踪中机动频率的自适应调整

研究机动目标跟踪过程中机动频率的自适应调整方法,使其值更加符合目标的实际机动状况.根据卡尔曼滤波残差是否符合零均值正态分布,判断目标机动频率是否发生改变,并采用简化的最小均方误差(LMS)算法对机动频率加以自适应调整.仿真实验表明,通过对频率自适应调整,使机动目标的位置、速度估计误差明显减小.