WATER TUNNEL EXPERIMENTAL INVESTIGATION ON THE DRAG REDUCTION CHARACTERISTICS OF THE TRAVELING WAVY WALL

Drag reduction experiment of the traveling wavy wall at high Reynolds number is conducted.A suit of traveling wavy wall device is developed.The drag forces of the traveling wavy wall with various wave speeds(c)are measured under different water speeds(U)in the K15 cavitation water tunnel and are compared with that of the flat plate.The results show that the mean drag force of the traveling wavy wall have decreased and then increased with oscillation frequency increasing at the same flow speed.Under different flow speeds,when traveling wave wall reached to the minimum of drag force,the corresponding the ratio of the wall motion phase speed c to flow speed U,c /U is slightly different.Within the parameters of the experiment,whenc /U reaches a certain value,the drag force of the traveling wavy wall can be less than that of the flat plate.The drag reduction can be up to 42%.Furthermore,as the value ofc /U increases,the traveling wavy wall can restrain the separation and improve the quality of flow field.     

城市污水处理厂节能水平评估标准探讨

以我国现行典型城市污水处理厂实际运行情况为依托,结合国内外经验成果,在筛选影响城市污水处理厂节能水平重要因子的前提下,初步提出采用打分形式对城市污水处理厂节能水平进行评估的设想,从而建立城市污水处理厂节能水平等级划分标准。     

供水水质化学稳定性研究与设计

当水源水质碱度、硬度偏低,呈弱腐蚀性时,控制其水质化学稳定性的有效方法是再矿化工艺,再矿化工艺分两个步骤:①在混凝前先投加二氧化碳进行酸化,再投加石灰水进行中和,以提高碱度,且使pH处于混凝最佳值;②在滤后的主加氯后补加饱和石灰水,以保证出厂水水质稳定性。再矿化工艺能改善出厂水水质化学稳定性,提高供水水质和供水安全性,但运营成本较高。     

钢木结构组合模板在双岭电站流道施工中的应用

结合双岭电站流道施工难度较大的实际情况,介绍翻转式钢木组合模板在水电站流道施工中的应用,重点介绍该模板的设计思路及安装要点.实践证明,该模板既节约材料又缩短工期,效果显著.     

单向耦合Lorenz-R(o)ssler系统的多参数分岔

深入研究了单向耦合Lorenz-R(o)ssler系统的动力学行为,首先定性地分析了该系统,找出了该系统所有平衡点及平衡点存在和稳定的条件.再对该系统的分岔行为做了理论分析,得到该系统发生fold和Hopf 分岔的条件.最后利用分岔软件对前面的理论进行验证,而且针对三个单向耦合参数的不同取值情况,从数值的角度研究了该系统的多参数分岔,结果表明不同的耦合强度对于系统的动力学行为有较大的影响.     

基于虚拟仿真的动车组转向架检修支持系统开发

CRH380BL高速动车组转向架技术含量高,结构复杂,需要高效率、高质量的检修与维护手段。文章综合应用虚拟现实、多媒体和仿真技术,设计开发了动车组转向架检修虚拟仿真支持系统。它提供一个可视化的多媒体信息平台,可支持新的培训模式,使培训人员在虚拟环境中快速掌握检修技能,以交互方式浏览转向架各组成部件的三维模型,了解转向架的技术信息、结构特点、模块配置、各级修程信息及产品装配过程。该文介绍了转向架结构特点,详细描述了系统的结构、功能以及关键技术。     

Dynamic evolution of collective emotions in social networks: a case study of Sina weibo

Emotion is a fundamental object of human existence and determined by a complex set of factors. With the rapid development of online social networks (OSNs), more and more people would like to express their emotion in OSNs, which provides wonderful opportunities to gain insight into how and why individual emotion is evolved in social network. In this paper, we focus on emotion dynamics in OSNs, and try to recognize the evolving process of collective emotions. As a basis of this research, we first construct a corpus and build an emotion classifier based on Bayes theory, and some effective strategies (entropy and salience) are introduced to improve the performance of our classifier, with which we can classify any Chinese tweet into a particular emotion with an accuracy as high as 82%. By analyzing the collective emotions in our sample networks in detail, we get some interesting findings, including a phenomenon of emotion synchronization between friends in OSNs, which offers good evidence for that human emotion can be spread from one person to another. Furthermore, we find that the number of friends has strong correlation with individual emotion. Based on those useful findings, we present a dynamic evolution model of collective emotions, in which both self-evolving process and mutual-evolving process are considered. To this end, extensive simulations on both real and artificial networks have been done to estimate the parameters of our emotion dynamic model, and we find that mutual-evolution plays a more important role than self-evolution in the distribution of collective emotions. As an application of our emotion dynamic model, we design an efficient strategy to control the collective emotions of the whole network by selecting seed users according to k-core rather than degree.     

A general method of spatio-temporal clustering analysis

Spatio-temporal clustering has been a hot topic in the feld of spatio-temporal data mining and knowledge discovery.It can be employed to uncover and interpret developmental trends of geographic phenomenon in the real world.However,existing spatio-temporal clustering methods seldom consider both spatiotemporal autocorrelations and heterogeneities among spatio-temporal entities,and the coupling in space and time has not been well highlighted.In this paper,a unifed framework for the clustering analysis of spatio-temporal data is proposed,and a novel spatio-temporal clustering algorithm is developed by means of a spatio-temporal statistics methodology and intelligence computation technology.Our method is applied successfully to fnding spatio-temporal cluster in China’s annual temperature database for the period 1951 1992.     

What Constitutes Effective Mathematics Instruction: A Comparison of Chinese Expert and Novice Teachers’ Views

Abstract

In this study, we examined the views of 10 experts and 10 novices on effective mathematics instruction in China. We found that all the participants valued students’ mastering of mathematical knowledge and skills and their development in mathematical thinking methods and abilities. Compared with novice teachers, expert teachers emphasized the development of students’ mathematical thinking and higher order thinking abilities and properly dealing with important and difficult content points. In contrast, novice teachers were particularly concerned about the effectiveness of teachers' guidance.     

Path planning in complex 3D environments using a probabilistic roadmap method

This paper presents a 3D path planning algorithm for an unmanned aerial vehicle （UAV） in complex environments. In this algorithm, the environments are divided into voxels by octree algorithm. In order to satisfy the safety requirement of the UAV, free space is represented by free voxels, which have enough space margin for the UAV to pass through. A bounding box array is created in the whole 3D space to evaluate the free voxel connectivity. The probabilistic roadmap method （PRM） is improved by random sampling in the bounding box array to ensure a more efficient distribution of roadmap nodes in 3D space. According to the connectivity evaluation, the roadmap is used to plan a feasible path by using A＊ algorithm. Experimental results indicate that the proposed algorithm is valid in complex 3D environments.