大学英语精读翻转课堂混合教学模式的研究

与传统教学机制有所不同,大学英语精读教学因教学时间与教学所需时间之间的冲突导致其在教学过程中历来存在争议。而翻转课堂的存在能够打破课内外对学习时间分配,解决该种时间分配的冲突问题。因而本文立足于翻转课堂,从翻转课堂的理论入手,研究大学英语精读翻转课堂的展开模式,通过问卷调查整理汇总数据到统计软件Spss,证明该混合教学模式的有效性,以期能够证明翻转课堂的混合教学模式在大学英语精读中发挥了一定的功用。     

“翻转课堂”热潮引发的思考

翻转课堂自实施以来,在教育领域引发大讨论,给教学带来了前所未有的变化,取得了良好的效果。本文对翻转课堂的由来及其对教学的改变进行分析,并探讨了翻转课堂实施对师生的要求,最后对我国大面积普及翻转课堂的制约因素进行了分析。     

卡尔曼滤波的GNSS/DR综合导航系统研究

为了解决GNSS(全球导航卫星系统)在卫星盲区无法进行定位导航的问题,本文研究了一种GNSS/DR(航位推算)组合导航系统.本文首先分别研究了DR,GNSS导航系统,然后研究了基于卡尔曼滤波的GNSS/DR综合导航系统研究,该系统综合了GNSS定位精度高与及DR能够自主导航的优点,具有互补性与稳定性.最后通过实验,验证了GNSS/DR综合导航系统研究在卫星盲区可以获得连续可靠的定位结果.     

企业信息化进程中原材料定额管理系统的集成研究与实现

围绕某铁路客车制造企业原材料工艺定额的制定与管理,综合考虑了与企业设计开发系统(PDM)、企业工艺管理系统(CAPP)、企业原定额管理系统、商用套料优化系统(FastCut/FastNest)等的综合集成,提出了基于FastCut/FastNest二次开发的板材套料优化与定额管理集成系统.该系统采用C/S分布式计算模式,利用数据集成技术中的数据同步复制和数据交叉引用技术、动态链接库(DLL)等应用系统集成技术与企业PDM、CAPP、FastCut/FastNest优化套料等系统进行数据集成,很好地解决了企业新老信息系统中设计数据采集、工艺管理、优化套料与定额计算、报表输出等功能的集成,以及信息化过程中历史遗留系统的集成与资源利用难题,所取得的成果具有推广价值.     

基于翻转课堂的汽车色彩学与面漆调色课程教学改革实践探索

本文分析了高职学校汽车车身维修技术专业开设的汽车色彩学与面漆调色课程教学存在的一些主要问题,提出将翻转课堂运用到该门课程教学改革实践,开展学生为主体的教学模式,扩展有效学习的时间与空间,提升学生对汽车色彩学与调色课程的学习效果。     

某轻型卡车驾驶室翻转机构的结构设计与优化

以某轻型卡车为例,设计一款单扭杆式驾驶室翻转机构,阐述该翻转机构的工作原理和设计方法。利用有限元软件对翻转机构的扭杆过渡段进行最优设计,并对翻转机构的前支架结构进行改进,减少了单扭杆式翻转机构工作时前支架左右受力不均引起驾驶室发生歪斜的弊端。     

基于同伴教学法的翻转课堂的思考和实践——以高职《会计信息化》课程为例

会计信息化课程是高职会计专业的一门强调动手能力的核心课程,面对如今时兴的翻转课堂教学模式,笔者首先分析了翻转课堂模式相比传统教学模式的优势,再解释了当今人们对翻转课堂存在的一些误区,结合自身在会计信息化课程上应用翻转课堂做了具体的经验介绍,从以下三个方面:翻转课前预习利用ARCS模型激发学习动机;教师如何在少讲和多讲间找到平衡点,课堂内化基于同伴教学法;翻转课堂的形成性评价。     

基于GPRS技术的北斗卫星定位算法研究

随着5G通信系统的发展，卫星定位导航系统中出现了许多新的机遇和挑战。为了消除或减弱北斗定位中各种误差的影响，提出了一种基于GPRS技术的北斗卫星定位算法。该算法根据北斗卫星导航系统原理，获取导航定位数据，提取有用信息，根据误差消除结果，改进北斗卫星定位算法，修正定位误差。实验结果表明，该算法的定位精度和效率能够满足实时动态定位系统的实际需要。     

STC-OFDM系统的post-IDFT多波束形成技术

提出了适用于空时编码-正交频分复用(OFDM)系统的后-逆离散傅立叶变换(post-IDFT)多波束形成技术.该技术通过对空频信道相关矩阵进行特征分解获得多个特征模式,再利用空时分组码(STBC)各发射分支信号的正交性使OFDM系统形成多个post-IDFT波束.接收端根据STBC传输矩阵的正交性对多波束解码.系统获得的空间分集增益为空频信道相关矩阵的特征值之和,最大空间分集增益与子载波波束形成方案相同,误码率比STC-OFDM的低.该技术将复杂度降低到子载波波束形成方案的1/S(S为OFDM系统的子载波数目),而且当波束维数(m)小于发射天线数目(M)时,可进一步减少M-m个IDFT模块     

“翻转课堂”在大学英语课堂的应用研究

翻转课堂是新兴的教学模式,本文将翻转课堂应用到大学英语教学中,翻转课堂有利于增加学生学习兴趣,增强自我管理意识,提升实践动手能力和自学能力,提高英语综合能力,同时增加师生、生生互动,帮助学生更好地知识内化和吸收。翻转课堂真正实现了从以教师为中心向以学生为中心的转变。     

An Innovative On-Board Computer for Space Robot

In this paper an on-board computer system for the first Chinese Intelligent Space Robotic System was presented. A fault tolerance design on on-board computer （OBC） was proposed that allows commercial-off-the-shelf （COTS） devices to be incorporated into dual processing modules of on-board computer. The processing module is composed of 32-bit ARM RISC processor and other COTS devices. This innovative approach deeply relies on light weight/low cost equipment development using commercial miniaturized parts and non-space qualified technologies. As well as, a set of fault handling mechanisms was implemented in the computer system. The on-board software was organized around a set of processes that communicate between each other through a routing process. The qualification experiment shows that the fault tolerant on-board computer has excellent data processing capability and is enough to meet the demanding of the extremely tight constraints on mass, volume, power consumption and space environmental conditions.     

Simultaneous localization and mapping of autonomous underwater vehicle using looking forward sonar

A method of underwater simultaneous localization and mapping (SLAM) based on on-board looking forward sonar is proposed. The real-time data flow is obtained to form the underwater acoustic images and these images are pre-processed and positions of objects are extracted for SLAM. Extended Kalman filter (EKF) is selected as the kernel approach to enable the underwater vehicle to construct a feature map, and the EKF can locate the underwater vehicle through the map. In order to improve the association efficiency, a novel association method based on ant colony algorithm is introduced. Results obtained on simulation data and real acoustic vision data in tank are displayed and discussed. The proposed method maintains better association efficiency and reduces navigation error, and is effective and feasible.     

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为了保障列车行车安全,机车上都配置了列车运行监控记录装置和TAX2型监测装置,实时检测和记录列车运行参数,这些实时的列车运行参数同时也是其它的列车车载系统必需的基础数据条件。介绍了一种通过串口通信,动态获取列车运行参数的接口方案,阐述了相应的硬件连接方式和软件程序设计,其中采用了Windows多线程编程技术,还根据列车运行线路中存在长短链或基本线路变换的情况,设计了一种公里标突变识别并同时进行数据纠错的算法,实时接收数据的误码率为0.02%,实现了列车车载系统与列车现有监控装置之间可靠有效的联接。     

State inspection for transmission lines based on independent component analysis

Monitoring transmission towers is of great importance to prevent severe thefts on them and ensure the reliability and safety of the power grid operation. Independent component analysis (ICA) is a method for finding underlying factors or components from multivariate statistical data based on dimension reduction methods, and it is applicable to extract the non-stationary signals. FastICA based on negentropy is presented to effectively extract and separate the vibration signals caused by human activity in this paper. A new method combined empirical mode decomposition (EMD) technique with the adaptive threshold method is applied to extract the vibration pulses, and suppress the interference signals. The practical tests demonstrate that the method proposed in the paper is effective in separating and extracting the vibration signals.     

基于地面监测的车辆动力学性能贝叶斯评估技术

应用贝叶斯估计原理,提出了基于地而临测数据的车辆动力学件能评估方法.利用Parzen窗法和改进二维插值法补充车载监测缺失数据,建立了车载与地面监测数据的概率模型.在提速货车35×10~4km,车速120 km/h可靠性试验中,获得了提速货车动力学件能的车载及地面监测数据.根据监测地面数据,完成了对提速货车脱轨系数水平的评价.结果表明,现有提速货车的脱轨系数水平为1.261 3.     

基于Delphi7的GPS数据采集器的实现研究

利用Delphi7和Jupiter 021 OEM板,开发一套GPS数据采集软件.该软件能够动态显示各可视卫星的卫星号、信号强度及信号的空间分布;以北纬、东经、海拔高度表示的三维定位结果及描述几何拓扑误差的HDOP、PDOP、VDOP等误差放大因子;生成动态存储NMEA-0183原始语句及其数据提取结果的文件,为今后分析接收机性能,确定GPS数据采集时段、采集位置,进行定位结果的优化处理等方面提供数据.     

Micro-electro-mechanical-sensor inertial navigation system-assisted global navigation satellite system receiver acquisition scheme and performance evaluation

When an aircraft moves under a low carrier-to-noise ratio (CNR) or at a high speed, increasing the sensitivity of global navigation satellite system (GNSS) receiver is a goal quite hard to achieve. A novel acquisition scheme assisted with micro-electro-mechanical-sensor (MEMS) inertial navigation system (INS) is presented to estimate the Doppler caused by user dynamics relative to each satellite ahead of time. Based on tightly coupled GNSS/INS estimation algorithm, MEMS INS Doppler error that can be achieved is first described. Then, by analyzing the mean acquisition time and signal detection probability, the MEMS INS-assisted acquisition capabilities in cold, warm and hot starts are quantitatively determined and compared with the standard GNSS acquisition capability. The simulations and comparisons have shown that: the acquisition time in cold start can be shortened by at least 23 s, the time in warm start can be shortened to 1 s and the acquisition capability is improved 95%, and the reacquisition time in hot start can be shortened by around 0.090 s and the capability can be enhanced 40%. The results demonstrate the validity of the novel method.     

A New Multi-sensor Data Fusion Algorithm Based on EMD-MMSE

A new multi-sensor data fusion algorithm based on EMD-MMSE was proposed.Empirical mode decomposition(EMD)is used to extract the noise of every time series for estimating the variance of the noise.Then minimum mean square error(MMSE)estimator is used to calculate the weights of the corresponding series.Finally,the fused signal is the weighted addition of all these series.The experiments in lab testified the efficiency of this method.In addition,the comparison in fusion time and fusion results with existing fusion method based on wavelet and average technique shows the advantage of this method greatly.     

一种混合入侵检测系统的设计与研究

入侵检测系统(IDS)成为目前动态安全工具的主要研究和开发方向.异常检测和误用检测是应用在IDS中的两种主要技术.把应用在异常检测中的Markov链模型和误用检测中的模式匹配结合起来,同时采用分组交换检测机制,一定程度上降低了IDS的误报率和漏报率,提高了系统的检测速度.而且数据挖掘技术的引入,使系统具有了自动化能力.     

基于改进UKF的BDS/IMU组合列车定位方法

为提高列车定位的精确性和连续性,采用北斗卫星接收机和惯性测量单元构建车载组合定位系统.针对多传感器组合定位信息融合估计的非线性和鲁棒性需求,将抗差估计理论的等价权原理应用于标准无迹卡尔曼滤波(unscented Kalman filter,UKF)算法,构造了一种改进的UKF算法,通过对标准UKF算法的噪声协方差进行等价替换,从而起到调节滤波增益的作用,使得滤波算法对传感器观测粗差具有较强的抑制能力.将改进的UKF算法与标准UKF算法应用于列车组合定位进行仿真比较,结果表明:传感器无观测异常时,改进UKF算法的滤波精度总体上略优于标准UKF算法;当传感器观测值含有随机粗差时,改进UKF算法的滤波精度及稳定性明显优于标准UKF算法,北向、东向位置平均估计误差分别降低了48.5%、48.8%,北向、东向速度平均估计误差分别降低了43.7%、48.9%.