柔性支撑Stewart平台自适应交互PID隔振控制

为了实现500 m口径球面射电望远镜(five hundred meter aperture spherical radio telescope, FAST)二级精调稳定平台对馈源舱隔振控制的定位和指向精度, 首先提出了基于并联机构学原理的3维机动目标跟踪预测算法, 对柔性支撑Stewart平台的基座运动进行跟踪预测. 进而,在Stewart平台关节空间设计了自适应交互PID控制器, 引入自适应交互算法解决PID参数的实时调整, 以适应柔性支撑Stewart平台的参数变化对不同控制参数的需求. 采用现代机电系统仿真策略, 对柔性支撑Stewart平台隔振系统的动力学与控制问题进行了仿真, 结果表明: 与传统的PID控制器相比, 自适应交互PID控制器大大改善了隔振效果, 完全满足隔振目标的要求.     

大尺寸纹理的实时合成

提出一种纹理合成方法,可实时高质量地生成大纹理.它先基于纹理特征变化的周期性分析,得到合适的纹理块尺寸,以使所划分的纹理块能高效反映这种周期性变化,便于生成高质量的纹理;然后,它在目标纹理上均衡地分布纹理块,使得垂直方向和水平方向上相邻的纹理块之间都留有一个块尺寸大小的空白区域,再对空白区域进行填充,以完成目标纹理的生成.显然,布块操作和填充操作均可并行地进行.同时,为每个纹理块预先生成可与其邻接匹配的纹理块集合,以便在填充计算时可用简便的集合求交计算来进行邻域约束的搜索,并将这种求交计算放在CPU中进行,而将邻接纹理块在重叠区域的缝合计算放到GPU中进行,以综合利用CPU和GPU的优势.实验表明,新方法可在一般微机上以45帧/秒的速度高质量地实时合成1024*1024的大纹理,而这是已有技术难以达到的.     

塑造河流的性格——以郧西县城市河流生态景观规划为例

本文以郧西城市河流生态景观规划为例,论述了河流规划应突出其固有的个性特征,并通过河流驳岸的生态化改造和河流绿化规划,将生态与景观有效结合。     

岭南园林和江南园林美学特征的比较

本文从环境、功用、性格、艺术、文化五个方面,对岭南园林和江南园林美学特征进行了比较,提炼出二者不同的个性特点,提出了园林是文化的载体。     

Hybrid Recommender System Using Systolic Tree for Pattern Mining

A recommender system is an approach performed by e-commerce for increasing smooth users’ experience. Sequential pattern mining is a technique of data mining used to identify the co-occurrence relationships by taking into account the order of transactions. This work will present the implementation of sequence pattern mining for recommender systems within the domain of e-commerce. This work will execute the Systolic tree algorithm for mining the frequent patterns to yield feasible rules for the recommender system. The feature selection's objective is to pick a feature subset having the least feature similarity as well as highest relevancy with the target class. This will mitigate the feature vector's dimensionality by eliminating redundant, irrelevant, or noisy data. This work presents a new hybrid recommender system based on optimized feature selection and systolic tree. The features were extracted using Term Frequency-Inverse Document Frequency (TF-IDF), feature selection with the utilization of River Formation Dynamics (RFD), and the Particle Swarm Optimization (PSO) algorithm. The systolic tree is used for pattern mining, and based on this, the recommendations are given. The proposed methods were evaluated using the MovieLens dataset, and the experimental outcomes confirmed the efficiency of the techniques. It was observed that the RFD feature selection with systolic tree frequent pattern mining with collaborative filtering, the precision of 0.89 was achieved.     

An analytical procedure for dynamic response determination of a viscoelastic beam with moderately large deflection using first-order shear deformation theory

In this article, the dynamic response of a viscoelastic beam with moderately large deflection subjected to transverse and axial loads is studied using the first-order shear deformation theory. The von-Karman strain displacement relations and Hooke's law are used for formulation. The solution of the equations, which are a system of nonlinear partial differential equations, are obtained analytically using the perturbation technique in conjunction with the eigenfunction expansion method. The results are compared with the finite elements method. Also, a sensitivity analysis is performed, and the effects of geometrical and material properties are investigated on the response.     

Influence of residual thermal stresses on fatigue crack growth life of discontinuous reinforcements in metal matrix composites

The fatigue life prediction model based on crack propagation from micro-structural features is derived and presented for planar and randomly oriented Discontinuous Reinforced Metal Matrix Composites (DRMMCs). The model contains the influence of micro-structural properties such as aspect ratio, volume fraction of particle/fibre and constraint between particle and the matrix. The effect of residual thermal stresses generated within the matrix during development of composite is considered. The particle/fibre plays a dominant role in the development of the cyclic plastic zone size ahead of the crack tip; moreover, it enhances the cyclic plastic deformation characteristics of DRMMC. The theoretical model-based evaluations for low cycle fatigue in DRMMCs are within the proximity of the experimental results.     

全孔蓄水法在高温火区爆破中的应用

针对高温炮孔因裂隙多导致蓄不住水的情况,将内层带有不透水材料的套管快速下放到炮孔并在短时间内注满水,在套管中装有模拟药卷并采用热电偶测量套管中的水温变化。结果表明:全孔蓄水可使工业炸药与起爆器材长时间保持在最高温度不超过水浴温度的环境中,因此能大幅延长高温火区装药施工时间。探索出高温火区的全孔蓄水爆破方法,并通过爆区规模试验,效果良好,该方法能保证施工安全,同时基本解决高温火区较大规模爆破的问题。     

煤矿硬岩巷道掘进大直径炮孔爆破试验研究

增大药卷直径可提高炸药爆速,配以较大直径炮孔爆破能够增强岩石的破裂和破碎。为了提高煤矿硬岩巷道掘进爆破效率,在液压凿岩台车施工巷道首次进行大直径炮孔和大直径药卷中深孔爆破试验研究,同时对各段雷管起爆延期时间进行优化,其中第2段雷管的延期时间由原先的25 ms增加至50 ms,目的是使掏槽爆破后岩石有足够的时间破碎、运动和抛掷出槽腔,形成新的自由面。并配用底部集能装药掏槽爆破技术和水垫层周边光爆装药结构,爆破试验取得了良好的效果。     

“特朗普制”教学模式与大班课堂教学的控制

教师为保证课堂教学目标的实现,采用一定的课堂控制策略是必要的。文章简要介绍"特朗普制"教学模式,并从教学方法、教学艺术、课堂控制技巧等方面提出大班课堂教学过程中的一些控制策略。