离聚物对PET／LDPE共混物的结构与性能研究

用双螺杆挤出机反应性挤出的方法合成了低密度聚乙烯接枝马来酸镧（ＬＤＰＥ－ｇ－ＭＡＬａ）离聚物。与其它方法相比，该法具有工艺简单，易于工业化生产的特点。我们将离聚物与ＰＥＴ，ＬＤＰＥ在双螺杆挤出机上熔融共混挤出，并用注射成型机制备标准样条，对共混物力学性能进行了测试，发现离聚物有显著的增韧效果，另外，通过ＩＲ，ＤＳＣ，溶解性实验，分子量的测定等还考察了离聚物对ＰＥＴ／ＬＤＰＥ共混体系的结构影响。     

新媒体时代的物联网信息设计与展望

在互联网发展的基础上,物联网可将信息的交流与沟通扩展到任何物体与物体之间,故其将成为新媒体时代改变人类生活的新变量。在探索智能化信息交互与设计的过程中,文章紧跟物联网的发展趋势,不断思索物联网的崛起给新媒体时代的文化、生产与生活带来的需求、挑战与可能性,同时指出了在这样的背景下,物联网这个新媒体时代的新形势对信息设计所带来的新启示。     

基于WebGIS的田间环境监测系统平台的设计与实现

为了实现田间环境信息的可视化查询分析与统计,本文借助于无线传感网络和GPRS通信网络硬件平台以及TopMap软件平台,开发了基于WebGIS的田间环境监测系统。该系统采用了C/S与B/S模式相结合的运行体系结构,ASP.NET为前台开发工具,SQL SERVER2005为后台数据库,TopMap World 6为WebGIS开发平台。系统实现了田间环境信息的动态交互、实时更新以及基于地图的田间环境信息空间查询、统计分析和生成报表等功能。     

图像识别技术在3D-RPG游戏开发中的应用

基于OGRE(Object-oriented Graphics Rendering Engine)设计开发一个3D-RPG(Role-Playing Game)游戏引擎RPGGE(RPG Game Engine)。在RPGGE中融入图像识别技术,使玩家可以通过摄像头识别手势来增加游戏交互。RPGGE开发包括渲染系统、输入输出系统、声音系统、识别系统。     

广东省东江流域显著水问题类型识别

通过构建流域水资源、水环境与水生态功能评价指标体系,采用ArcGIS自然间断点分级法分析广东省东江流域水资源、水环境与水生态3类涉水功能的空间格局特征,采用Spearman等级相关系数定量分析3类涉水功能间的交互作用,识别各地区显著水问题类型,并提出相应管控策略。结果表明：广东省东江流域水资源、水环境与水生态功能评价等级空间格局体现出显著的空间差异性;流域水资源、水环境与水生态功能间的交互作用类型为兼容;基于3类涉水功能评价等级及功能间交互作用类型,将广东省东江流域10个评价单元划分为水资源、水环境、水生态、水资源-水环境、水生态-水环境及非显著型6个显著水问题类型。     

城市洪涝试验研究进展

城市洪涝物理试验与原型试验是开展数值模型验证及提高预报预警精度的重要手段。从城市产流过程、地表洪水演进以及地表径流与管网水流交互三方面,综述了近年来国内外城市洪涝试验的研究进展。针对目前城市洪涝试验研究中存在的不足,指出今后应完善现有城市产汇流过程相关机理方面的试验研究,深入研究地表与管网垂向交互过程,加强与城市洪涝期间的流动行为密切相关过程的定量试验研究。     

不同土性地基考虑 ＳＳＩ效应的隔震结构地震响应分析

为探究不同土性地基的ＳＳＩ效应对层间隔震结构影响机理与动力响应规律,选取一个典型层间隔震结构,对其简化并制作缩尺模型,采用振动台试验的方法,分别在硬土、软土这两种地基上单向输入4条地震波来研究模型的动力响应。结果表明:土体具有明显的放大效应,随着地基土由硬变软,隔震结构周期延长倍数降低。隔震结构在硬土地基上能发挥较好的减震效果,而软土地基上减震效果明显减弱。软土地基上塔楼的动力响应较硬土地基增大,塔楼容易成为薄弱部位,其抗震设计应重点关注。     

Consequences of the formation of Cooper-pairs near oxygen-deficient sites

In this investigation we consider the formation of Cooper pairs near the oxygen-deficient sites in Y-Ba-Cu-O ceramic superconductors which would give rise to an energy-dependent potential as seen by conduction charge carriers. It is shown that Cooper pairs could be formed under such conditions, resulting in a supercurrent. We use the Bogoliubov transformation technique to calculate the energy gap, the energy difference, and the transition temperature of the model superconductor using certain data obtained from previous experiments. Numerical analysis shows that the superconducting current can be explained by the presence of such oscillating Cooper pairs.     

Safe and intuitive manual guidance of a robot manipulator using adaptive admittance control towards robot agility

Key areas of robot agility include methods that increase capability and flexibility of industrial robots and facilitate robot re-tasking. Manual guidance can achieve robot agility effectively, provided that a safe and smooth interaction is guaranteed when the user exerts an external force on the end effector. We approach this by designing an adaptive admittance law that can adjust its parameters to modify the robot compliance in critical areas of the workspace, such as near and on configuration singularities, joint limits, and workspace limits, for a smooth and safe operation. Experimental validation was done with two tests: a constraint activation test and a 3D shape tracing task. In the first one, we validate the proper response to constraints and in the second one, we compare the proposed approach with different admittance parameter tuning strategies using a drawing task where the user is asked to guide the robot to trace a 3D profile with an accuracy or speed directive and evaluate performance considering path length error and execution time as metrics, and a questionnaire for user perception. Results show that appropriate response to individual and simultaneous activation of the aforementioned constraints for a safe and intuitive manual guidance interaction is achieved and that the proposed parameter tuning strategy has better performance in terms of accuracy, execution time, and subjective evaluation of users.     

Multiperson interaction recognition in images: A body keypoint based feature image analysis

Most interaction recognition approaches have been limited to single‐person action classification in videos. However, for still images where motion information is not available, the task becomes more complex. Aiming to this point, we propose an approach for multiperson human interaction recognition in images with keypoint‐based feature image analysis. Proposed method is a three‐stage framework. In the first stage, we propose feature‐based neural network (FCNN) for action recognition trained with feature images. Feature images are body features, that is, effective distances between a set of body part pairs and angular relation between body part triplets, rearranged in 2D gray‐scale image to learn effective representation of complex actions. In the later stage, we propose a voting‐based method for direction encoding to anticipate probable motion in steady images. Finally, our multiperson interaction recognition algorithm identifies which human pairs are interacting with each other using an interaction parameter. We evaluate our approach on two real‐world data sets, that is, UT‐interaction and SBU kinect interaction. The empirical experiments show that results are better than the state‐of‐the‐art methods with recognition accuracy of 95.83% on UT‐I set 1, 92.5% on UT‐I set 2, and 94.28% on SBU clean data set.