Support vector regression methodology for prediction of input displacement of adaptive compliant robotic gripper

The prerequisite for new versatile grippers is the capability to locate and perceive protests in their surroundings. It is realized that automated controllers are profoundly nonlinear frameworks, and a faultless numerical model is hard to get, in this way making it troublesome to control utilizing tried and true procedure. Here, a design of an adaptive compliant gripper is presented. This design of the gripper has embedded sensors as part of its structure. The use of embedded sensors in a robot gripper gives the control system the ability to control input displacement of the gripper and to recognize specific shapes of the grasping objects. Since the conventional control strategy is a very challenging task, soft computing based controllers are considered as potential candidates for such an application. In this study, the polynomial and radial basis function (RBF) are applied as the kernel function of Support Vector Regression (SVR) to estimate and predict optimal inputs displacement of the gripper according to experimental tests and shapes of grasping objects. Instead of minimizing the observed training error, SVR _poly and SVR _rbf attempt to minimize the generalization error bound so as to achieve generalized performance. The experimental results show that an improvement in predictive accuracy and capability of generalization can be achieved by the SVR approach compared to other soft computing methodology.     

裂解色谱法对共聚物与共混物的鉴定

李文应用裂解色谱法对丙烯酸酯等物质的共聚物与共混物进行了鉴定。     

湖北黄麦岭沉积变质磷灰岩选矿技术研究

黄麦岭磷矿属较易选的低品位沉积变质磷灰岩矿,通过扩能改造、回水利用等措施,不仅提高了资源的综合利用率,也为公司每年降低生产成本4 000多万元,创造了可观的经济效益.     

深层压裂支撑剂选择探讨

低密度陶粒、覆膜陶粒、覆膜石英砂在浅层压裂应用中表现出了优异的性能,在深层油气藏的压裂改造中是否适用,需进行进一步的研究。从支撑剂的抗破碎能力、导流能力、嵌入程度对比分析了低密度陶粒、覆膜砂、覆膜陶粒的性能,结果表明覆膜陶粒在高压条件下抗破碎能力和导流能力较高,且与岩石的嵌入程度较低,说明覆膜陶粒在深层压裂中具有良好的应用前景。     

基于虚拟人的汽车内饰造型草图设计方法研究

基于当前汽车内饰造型草图设计中存在的问题,引入虚拟人技术生成造型草图设计的辅助模板,建立了基于辅助模板的造型草图设计新方法,并将设计方法进行设计实践,用实际效果验证理论,从而为汽车内饰设计师提供了一种快捷而有效的技术支持方案。     

The lesbian,gay, bisexual and transgender community online: discussions of bullying and self-disclosure in YouTube videos

Computer-mediated communication has become a popular platform for identity construction and experimentation as well as social interaction for those who identify as lesbian, gay, bisexual or transgender (LGBT). The creation of user-generated videos has allowed content creators to share experiences on LGBT topics. With bullying becoming more common amongst LGBT youth, it is important to obtain a greater understanding of this phenomenon. In our study, we report on the analysis of 151 YouTube videos which were identified as having LGBT- and bullying-related content. The analysis reveals how content creators openly disclose personal information about themselves and their experiences in a non-anonymous rhetoric with an unknown public. These disclosures could indicate a desire to seek friendship, support and provide empathy.     

岩体初始地应力场边界模拟方式探讨

针对某水电站地下厂房地下洞室群的地形地质条件,在边界上施加分布位移与分布面力两类不同边界条件下,采用7种方案模拟构造应力场,对其初始地应力进行了多元回归计算,并对回归结果进行了比较分析.结果表明:相对于在边界上施加位移的方案,在边界上施加分布面力的方案对x、y向面力分布形式的变化较敏感;在边界上施加均布位移的方案操作简单,模拟效果较好比较适合于区域性地层较平缓、岩体状况较好的工程条件.     

软件可靠性模型研究进展

软件可靠性模型旨在根据软件失效数据,通过建模给出软件的可靠性估计值或预测值.它不仅是软件可靠性预计、分配、分析与评价的最强有力的工具,而且为改善软件质量提供了指南.对近年来提出的多种不同的软件可靠性模型进行分类剖析,讨论了部分模型的预测能力和适用性,分析了多个模型适用性差的原因,还对未来的研究趋势进行了展望.     

一种基于叶分量分析的带有监督信息的在线学习方法

在一些模式识别应用中,具有类属信息的样本数量较少,此时监督学习算法会遇到小样本问题,导致分类器的识别精度大幅低于预期水平.基于叶分量分析,提出一种带监督信息的在线学习方法.该方法在训练过程进行监督学习,而在模式识别阶段能够在对输入样本进行分类的同时基于这些样本进行非监督在线学习,因此实现了监督学习与非监督学习的结合.在小本量情况下,在线学习可以弥补训练阶段监督学习的不足,仍能保证获得较高的识别精度.实验证明,该方法能够有效克服小样本问题.