Automation Studio在液压系统设计中的应用

介绍面向系统原理图的液压系统仿真软件Automation Studio。以捞油车液压驱动系统设计为例,在Automation Studio平台下进行模拟,对两变幅液压缸的压力、加速度及其机械特性进行研究,并在Bosch Rexroth实验台安装、调试系统,相关参数测试结果与软件模拟结果基本相同。表明这种仿真方法能准确地模拟实际系统的工作状态,简化建模和参数调节过程,为液压系统设计及动态特性研究提供一种好方法。     

从“高技术革命”到“高铁革命”的发展研究——2. 克服对“高铁革命异议”的高技术与“西三角”崛起

继上文"高铁革命"的历史经济之后,讨论其技术经济。强调第4巨城市"西三角"崛起,万事俱全,只待高铁。     

远距离供水工程自动化系统的施工组织设计

对远距离供水工程自动化系统的施工组织设计内容和注意事项进行探讨,强调施工组织设计应以具体现场情况为基础,使其具有可操作性和实用性.     

电气工程及其自动化常见问题分析及应对方法

伴随着我国现代化科技水平不断的提高与完善,电气工程自动化也越来越被人们所重视.但在取得了一定程度发展的同时,也存在着大量的问题隐患,因此要结合目前所存在着的问题采取适当的科学化方法策略来予以处理,以便能够实现对电气工程以及相关自动化技术的创新发展.本文将重点针对电气工程及其自动化的常见问题展开具体分析,并提出了一些针对性的应对方法.     

访问控制的验证测试方法研究

对访问控制的评测是信息系统和产品安全评估中的一项重要内容。该文从安全标准中对访问控制的需求出发,研究了访问控制的自动测试方法,扩展了GFAC测试接口,并且使用该方法实现了在Linux+RSBAC的环境下对自主访问控制的自动测试。     

飞来峡水利枢纽大坝安全监测自动化系统及其升级完善设想

介绍飞来峡水利枢纽大坝安全监测自动化系统的组成情况,并根据运行以来所面临的新问题加以总结,提出认为必要和可行的升级完善设想。     

浙江省数字医院系统建设的现状及其发展

笔者对浙江省已建成的200多家医院进行了智能化建设的基础调查，并在此基础上阐述了数字医院系统的设计理念、组成以及建设中存在的问题。     

A mass separation of chondrocytes from cartilage tissue utilizing an automatic crushing device

Porcine articular cartilage tissue was crushed using Multi-Beads-Shocker^™ and digested with trypsin and collagenase type II. Chondrocyte cell yield was maximized by automatic crushing for 10 s, which was 4 times that by manual dicing with a surgical blade and might be useful for the automation of the cell processing.     

Automated prediction of sensory scores for color and appearance in canned black beans (Phaseolus vulgaris L.) using machine vision

Evaluation of canning quality of beans is commonly carried out by simple visual inspection that is time-consuming, resource intensive, and biased by the experience of the panelist. Moreover, there is not a standard scale to rate visual quality traits of canned beans. In this research, a machine vision system was implemented and tested for automatic inspection of color (COL) and appearance (APP) in canned black beans. Various color and textural image features (average, standard deviation, contrast, correlation, energy, and homogeneity from red, green, blue, lightness, red/green, yellow/blue, hue, saturation and value color scales) were extracted from beans and brine images, and evaluated to predict the quality rates for COL and APP of a group of bean panelists using multivariate statistics. Sixty-nine commercial canned black bean samples from different brands and markets were used for analysis. In spite of the “fair” agreement among the sensory panelists for COL and APP, as determined by multi-rater Kappa analysis, machine vision data based on partial least squares regression model showed high predictive performance for both COL and APP with correlation coefficients of 0.937 and 0.871, and standard errors of 0.26 and 0.38, respectively. When a classification was performed based on both COL and APP traits, a support vector machine model was able to sort the samples into two sensory quality categories of “acceptable” and “unacceptable” with an accuracy of 89.7%. Using simple color and texture image data, a machine vision system showed potential for the automatic evaluation of canned black beans by COL and/or appearance as a professional visual inspection.     

Back to the future: Brake reaction times for manual and automated vehicles

Rear-end collisions are often quoted as being a major cause of road traffic accidents. In response to this, a great deal of ergonomics research effort has been directed towards the analysis of brake reaction times. However, the engineering solution has been to develop advanced systems for longitudinal control, which, it is argued, will mitigate the problem of rear-end collisions. So far, though, there have been few empirical studies to determine how brake reaction times will be affected by such vehicle automation. This paper presents a literature review summarizing the current state of knowledge about driver responses in non-automated vehicles. The review covers driver factors, vehicle factors and situational factors. Following the review, some empirical data are presented from a driving simulator experiment assessing brake reaction times of skilled and unskilled drivers under two different levels of automation. When compared to previous data gathered during manual driving, there seems to be a striking increase in reaction times for these automated conditions. Implications for the design and safety of automated vehicle systems are discussed.