The Effects of a Large Scale Mastery Environment on Students’ Self-Concept

The Tennessee self-concept scale was used to measure the self-concept of eighty-eight college freshmen at the end of their first semester in college. Forty-four of these students had been randomly assigned to a large scale mastery learning environment, and the other forty-four were randomly assigned to conventional classes. “T-test” ratios indicate that the mastery learning students have higher self-concepts than do their conventional counterparts.     

Simulation And Optimization of Electric Vehicle＇s Dynamic Performance

利用基于MATLAB/Simulink的电动汽车仿真软件建立整车的动力性能仿真模型,根据建立的模型对电动汽车的动力性能进行了分析.使用ADVISOR软件中的Autosize部分对主要的参数进行了优化,缩短了开发周期,降低了设计成本.     

Algorithmic Design for the Examination Arrangement System on a Large Scale for Universities

It is a multifactor optimization problem to arrange examinations on a large scale for universities. In this paper, a kind of grouped optimization algorithm was proposed. A principle about related degree, which plays a core role in realization, was introduced in the algorithm. According to the algorithm, we worked out a set of software correspondingly and applied it to a certain university in Shanghai to arrange examinations. It shows that the algorithm is very effective.     

Introduction of a Scale of Psychological Predispositions of Kindergarten Teachers

In order to help the selection and training of teachers for kindergartens, a scale for diagnosis of the special psychological predispositions needed for kindergarten teachers has been developed. It consists of 130 items derived from a personality test and an ability test. By the use of stratified sampling strategy, 660 teachers from different kindergartens in Beijing were chosen to form a sample group in its development. The result of the test was displayed in the form of T-score and percentile respectively. After several times of practice, its reliability and validity have been verified.     

Simulation on Dynamic Characteristic of Negative Resistance Arc in Pulsed TIG Welding

The current waveform that can be modified inpulsed TIG welding results in such advantages as lowheat input and accurate control of the arc energy dis-tribution, which is in favor of obtaining high qualitywelding seam and easy to execute all-position weldi…     

Performance of a Large Mat Foundationon Soft Rock

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Dynamic Behavior of a New Hydraulic Steel Gate

A new style of hydraulic steel gate based on the principle of bionics is proposed in this paper. It has a fish-like shape and consists of right arches, invert arches, connection components and a face plate. It would be first applied in the project of Caoe River Sluice, used as both tidal barrage and flood gate. Compared with conventional hydraulic steel gate of beam grids, this new style of hydraulic steel gate can save up to 30%-50% of steel consumption. The dynamic behavior of the new gate under the impact load of tidal bore is investigated. The impact load of tidal bore is considered by a load spectrum obtained by field observation over a long period of time. Then a numerical analysis of the gate under the load spectrum is carried out by finite element method. The fluid-structure interaction is considered in the analysis. And a comparison between the response of the gate under the impact load and the response of the gate under the corresponding static load is conducted and indicates that the gate has a dynamic magnification factor of 1.2.     

Large eddy simulation of a particle-laden turbulent plane jet

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Simulation and Analysis of Dynamic Characteristics of3D Assembly Circuit Module with Finite Element Method

Based on the modal analysis theory and by using the dynamics finite element analysis model of a three-dimensional assembly circuit module, dynamic characteristics of circuit module have been studied, including both natural characteristics analysis and dynamic responses analysis. Using a subspace method, modal analysis is first carried out. The first 6 orders of natural frequencies and vibration modes are obtained. Influence of the number of the Z-shaped metal slices on dynamic characteristics of the entire structure is also studied.Harmonic response analysis is then conducted. The steady-state response when the circuit module is subjected to harmonic excitation is determined. A curve of the response values against frequencies is obtained. As a result, the optimal number of Z-shaped metal slices can be determined, and it can be assured that the three-dimensional assembly circuit module has good performance in terms of the dynamic characteristics.     

一种改进协同过滤推荐算法

在传统的协同过滤推荐算法基础上,对传统协同过滤算法中冷门物品不能进行处理问题进行剖析,提出一种改进的协同过滤推荐算法。通过实验仿真,验证了该算法的有效性。     

一种变步长LMS自适应滤波算法及分析

讨论了变步长自适应滤波算法,给出了一种新的变步长LMS自适应算法,建立了步长因子μ与迭代次数n及输入信号之间的一种新的非线性函数关系。该算法与传统LMS算法相比,在计算量增加不太大的情况下,具有更快的收敛速度和较小的稳态误差,而且无须去关心步长因子的大小。通过Matlab模拟仿真的结果与理论分析相一致,证实了该算法的优越性。     

一种双向聚类协同过滤推荐算法研究

针对传统协同过滤推荐算法在大数据环境下存在数据稀疏性及计算复杂性等问题,提出一种双向聚类协同过滤推荐算法。该算法首先从用户维度和项目维度两个方向分别进行属性聚类,然后在目标用户和目标项目所在类簇中分别使用改进后的相似度计算方法进行协同过滤推荐,最后通过平衡因子综合预测评分并形成最终推荐列表。在 MovieLens 公开数据集上进行实验,结果表明,该算法（DCF）相比传统协同过滤推荐算法（TCF）、基于用户聚类的协同过滤推荐算法（UCF）以及基于项目聚类的协同过滤推荐算法（ICF）,在平均绝对误差上分别降低了 16%、8.1%、7.5%,有效提高了推荐精度。     

Modified Adaptive Weighted Averaging Filtering Algorithm for Noisy Image Sequences

In order to avoid the influence of noise variance on the filtering performances, a modified adaptive weighted averaging (MAWA) filtering algorithm is proposed for noisy image sequences. Based upon adaptive weighted averaging pixel values in consecutive frames, this algorithm achieves the filtering goal by assigning smaller weights to the pixels with inappropriate estimated motion trajectory for noise. It only utilizes the intensity of pixels to suppress noise and accordingly is independent of noise variance. To evaluate the performance of the proposed filtering algorithm, its mean square error and percentage of preserved edge points were compared with those of traditional adaptive weighted averaging and non-adaptive mean filtering algorithms under different noise variances. Relevant results show that the MAWA filtering algorithm can preserve image structures and edges under motion after attenuating noise, and thus may be used in image sequence filtering.     

一种基于FIR的自适应滤波器LMS算法设计与实现

本文根据自适应滤波器的原理，对LMS算法进行了讨论。并且在NATLAB环境中实现了一种基于FIR横向结构的自适应滤波器LMS算法，对算法在收敛速度方面进行了分析，并且分析了收敛参数μ取值原则及对算法收敛性能的影响，计算机仿真结果与理论分析相一致。     

GPU实现的椒盐噪声自适应中值滤波算法

提出了一种基于先检测、后滤波的椒盐噪声滤除GPU实现算法。该算法首先依据椒盐噪声的特征,将图像像素分为噪声和信号,然后对噪声像素作标准中值滤波,如果中值为信号,则用中值代替噪声像素灰度值;如果中值为噪声,则取中值邻域,如果中值邻域为信号,则用它代替噪声像素灰度值;否则扩大邻域窗口,重复算法。但随着图像规模的增大,在CPU上执行的时间显著增加。分析并利用图形处理器（GPU）的并行处理特征,并在GPU上实现了本文算法。实验结果表明所提出的算法较经典的自适应中值滤波算法有较好的去噪效果和边缘保护能力,并且随着图像规模的增大,算法执行时间较CPU可以提高最多3个数量级。     

带有未知死区非线性系统的自适应控制方案

针对一类带有未知死区的随机严格反馈非线性系统,提出了一种自适应模糊控制方案：利用命令滤波来处理退步方法的复杂性问题,并引入误差补偿机制克服动力学表面方法的缺点;此外,通过利用死区斜坡的边界信息,对未知的非线性系统不需要建立逆死区。与已有的结果相比,该方案的优点是：通过建立补偿信号消除滤波误差,且只有一个必需的自适应参数,这使该控制方案在实际应用中更有效;该控制方案,保证了闭路系统的所有控制信号最终一致概率有界,跟踪误差收敛到相应的紧集。     

稀疏度自适应回溯追踪算法改进

针对压缩感知重构算法中信号稀疏度未知和步长大小固定的问题,提出一种新的压缩感知信号重构算法,即基于弱选择的稀疏度自适应回溯追踪（SPWAMP）算法。该算法将自适应思想、变步长迭代思想与回溯思想相结合,在未知信号稀疏度的情况下,利用阈值方法选取预选集,通过变步长更新支撑集原子个数并结合回溯思想剔除不可靠原子,最终实现信号精确重构。仿真结果表明,当信号稀疏度K达到65时,该算法重构精度相对稀疏度自适应匹配追踪（SAMP）算法提高了40%,而此时正交匹配追踪（OMP）算法、子空间追踪（SP）算法和分段弱选择正交匹配追踪（SWOMP）算法已无法实现重构。因此,该算法相对其它同类算法提高了信号重构精度。     

An Adaptive Quantization Algorithm for MPEG-2 Video Coding

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自适应改进双直方图均衡算法

文章提出了一种改进双直方图均衡算法,根据图像的熵和输入输出图像的亮度均值差,自适应的选择合适的阈值将图像分割成两个子图,进行均衡处理和灰度均匀化处理,使得输出图像的亮度均值和原图像接近的同时视觉效果达到最好.实验结果证明了该处理方法能取得较好的增强效果.