Experimental optimization of power-function-shaped drive pulse for stick-slip piezo actuators

Motion of a stick-slip piezo actuator is generally controlled by the parameters related to its mechanical design and characteristics of the driving pulses applied to piezoceramic shear plates. The goal of the proposed optimization method is to find the driving pulse parameters leading to the fastest and the most reliable actuator operation. In the paper the method is tested on a rotary stick-slip piezo actuating system utilized in an atomic force microscope.The optimization is based on the measurement of the actuator response to driving pulses of different shapes and repetition frequencies at various load forces. To provide it, a computer controlled testing system generating the driving pulses, and detecting and recording the corresponding angular motion response of the actuator by a position sensitive photo detector (PSPD) in real time has been developed. To better understand and interpret the experimental results, supportive methods based on a simple analytical model and numerical simulations were used as well.In this way the shapes of the single driving pulses and values of the load force providing the biggest actuator steps were determined. Generally, the maximal steps were achieved for such a combination of the pulse shapes and load forces providing high velocities at the end of the sticking mode of the actuator motion and, at the same time, lower decelerations during the slipping mode.As for the multiple driving pulses, the pulse shapes and values of repetition frequency ensuring the sticking mode of the actuator motion during the pulse rise time together with the maximum average angular rotor velocity were specified. In this way the effective and stable operation conditions of the actuator were provided.In principle, the presented method can be applied for the testing and optimization of any linear or angular stick-slip actuator.     

Inference in distributed data clustering

In this paper we address confidentiality issues in distributed data clustering, particularly the inference problem. We present KDEC-S algorithm for distributed data clustering, which is shown to provide mining results while preserving confidentiality of original data. We also present a confidentiality framework with which we can state the confidentiality level of KDEC-S. The underlying idea of KDEC-S is to use an approximation of density estimation such that the original data cannot be reconstructed to a given extent.     

Paradoxical effects of information presentation formats and contextual interference on transfer of a complex cognitive skill

In a 2 × 2 factorial design the effects of (1) information presentation format and (2) contextual interference on training behavior, transfer performance and mental effort were studied for learning troubleshooting skills with a computer-based simulation. Participants studied information about the functioning of an alcohol distillery system (system principles) prior to practicing troubleshooting skills. Regarding the first factor, an expository (Exp) format, in which system principles, examples and a troubleshooting strategy were presented in a textual form, was compared to an inquisitory (Inq) format, in which participants had to predict the behavior of the system after they studied the system principles and in which demonstrations of the troubleshooting strategy were given. With regard to the second factor, a low contextual interference (LCI) condition in which participants practiced to diagnose types of system failures in a blocked schedule was compared to a high contextual interference (HCI) condition, in which different failure types were practiced in a random schedule. The main hypothesis is that the Inq and HCI conditions promote the development of cognitive schemata that enable learners to diagnose a malfunctioning system component by interpreting symptoms in terms of violations of system principles. Hence, they are expected to show higher transfer performance than participants in the traditional Exp and LCI conditions, who are believed to develop schemata containing associations between symptoms and malfunctioning components that are context-bound and less useful for diagnosing new failures. Contrary to the predictions, the traditional conditions (Exp and LCI) showed higher performance on a transfer test two weeks after training. Possible explanations for this result are discussed.     

基于MVC架构文档报表管理系统的设计与实现

根据公司对文档报表管理的实际需求,通过对某房地产评估公司的日常报告文档管理的各方面的需求分析,将系统的需求抽象化、模块化、系统化,利用.NET开发平台MVC架构实现了报告信息管理、数据维护管理、公司收据和报告文档管理等功能,实现了管理文档的规范化和信息化,提高公司管理文档信息的工作质量、管理水平,为用户提供更为方便快捷的服务。     

Photoshop在室内效果图后期处理中的应用

室内效果图被广泛应用于家装和公装领域,不同用户对生成的效果图有不同的需求。重点介绍如何使用Photoshop后期处理效果图．免除以往需要设计师设计效果图的复杂过程．能够有效降低制作设计效果图的成本,制作出用户需求的效果图。     

基于SNS的网络挖掘系统研究

介绍网络挖掘系统的功能模型及其采用的体系结构．并重点阐述系统采用的社团发现技术、文本提取和文本分类等关键技术,并对存在的问题进行分析和总结。     

形式化方法在电信服务系统中的应用与研究

为提高电信服务系统的稳定性．把形式化方法引入到电信服务系统的研究中,并用典型的形式化规格语言Z开发电信系统中基本功能的形式化规格,该套形式化规格对拔打电话、建立连接、释放连接、修改密码等操作的进行详细、精确的描述。基于Z语言的形式化规格可以应用于电信服务系统开发过程的各个阶段．以期减少电信服务系统内部错误的产生、提高稳定性。     

快速模式匹配在网络教育平台中的应用研究

网络教育平台建设的核心是教学资源库的建设,各种类型资源的快速匹配是需要频繁使用的基础功能。现有的解决方案往往使用的是BF等经典算法,匹配效率有一定的提高空间。用XML技术作为平台中各种资源描述的统一工具,通过对XML技术中DTD模式匹配方法的研究以及对模式匹配快速算法的改进,提高模式匹配的效率,从而设计出一种有效的信息模式匹配技术模型。通过仿真实验表明该模型可有效地提高网络教育平台中信息匹配的效率,进而为平台中资源的整合与模式的统一提供支持。     

基于Ad Hoc网络的SMR优化算法的研究

SMR是一种基于DSR算法的多路径路由算法,这种算法的本身具有明显的局限性。第一,它可能在存在多条不相关多路径路由的情况下选择两条相关多路径路由作为最后的主路由与备份路由;第二,它在目的节点只收到一个RREQ分组的情况下只生成一条主路由,而实际可能存在多条传输线路。针对SMR算法的局限性,本文提出一种改进的SMR算法—ISMR,该算法保证了两条路由的形成,保证了在存在多条不相关多路径路由情况下,一定会生成两条不相关多路径路由。