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关键词： 创新   国际消费电子展   传感器技术   智能家居   拉斯维加斯   服务供应商   智能产品   摩托车  

摘要： 2017年国际消费电子展（CES）在拉斯维加斯拉开帷幕。作为全球领先的技术和服务供应商，博世携智能家居、智慧城市、互联交通、工业4．0及传感器技术等领域的一系列创新解决方案闪亮登场。其中的三项博世智能产品：智能互联热水器和两项摩托车创新解决方案，在展会前举办的年度“CES创新大奖”评选中，共摘得了四项创新大奖的殊荣。

关键词： AZ31B extrusion   Fibre Bragg Grating sensor   hysteresis loop   rotating bending test  

摘要： The fatigue behaviour of AZ31B extrusion magnesium alloy under load-control cyclic test conditions is estimated using a combination of simulation and experimental results. The strain measurement of this asymmetric material is found experimentally using a Fibre Bragg Grating (FBG) sensor during rotating bending tests. Then, to analyse applied stresses in the sample - particularly in the plastic deformation range - the Variable Material Property (VMP) method is employed. Using this simulation method, the hysteresis loops of two critical top and bottom elements of the sample's cross section under different bending moments are obtained. Finally, the strain of the sample during rotating bending, as measured by the embedded FBG sensor, is related to the stresses obtained from the modeling using a mapping function. The hystereses obtained from this combination of the modeling and experimental results are compared with the results of a companion strain-control pull-push test in which the input strain history was that of measured by the FBG sensor. Observations verify that the stresses of the combined VMP-FBG hysteresis loops have good compatibility with the stress responses obtained through the experiment. The hybrid model introduced in this work can be employed to capture cyclic hysteresis, and hence estimate the fatigue life, under load-controlled rotating bending tests.

关键词： Pedestrian injury   Reversing cameras   Reverse parking sensors   Induced exposure  

摘要： Backover injuries to pedestrians are a significant road safety issue, but their prevalence is underestimated as the majority of such injuries are often outside the scope Of official road injury recording systems, which just focus on public roads. Based on experimental evidence, reversing cameras have been found to be effective in reducing the rate of collisions when reversing;the evidence for the effectiveness of reverse parking sensors has been mixed. The wide availability of these technologies in recent model vehicles provides impetus for real-world evaluations using crash data. A logistic model was fitted to data from crashes that occurred on public roads constituting 3172 pedestrian injuries in New Zealand and four Australian States to estimate the odds of backover injury (compared to other sorts of pedestrian injury crashes) for the different technology combinations fitted as standard equipment (both reversing cameras and sensors;just reversing cameras;just sensors;neither cameras nor sensors) controlling for vehicle type, jurisdiction, speed limit area and year of manufacture restricted to the range 2007-2013. Compared to vehicles without any of these technologies, reduced odds of backover injury were estimated for all three of these technology configurations: 0.59 (95% CI 0.39-0.88) for reversing cameras by themselves;0.70 (95% CI 0.49-1.01) for both reversing cameras and sensors;0.69 (95% CI 0.47-1.03) for reverse parking sensors by themselves. These findings are important as they are the first to our knowledge to present an assessment of real-world safety effectiveness of these technologies. (C) 2016 Elsevier Ltd. All rights reserved.

关键词： Energy harvesting   Wireless transmission   Surface roughness   Acoustic emission   Tool vibrations  

摘要： An effective system for monitoring the wear of the machine tool inserts could significantly contribute to saving costs in manufacturing. One of the most recent and popular of effective monitoring methods revolves around the use of sensing technologies for indirect estimation of tool wear. The sensory information is difficult to collect from machine tools due to the extremely poor signal-to-noise ratio of the relevant tool wear-related information because the milling operation is of interrupted nature since the work piece is in contact with the tool edge several times per second. Another issue is the varying thickness of the chip during the penetration of the work piece. Yet, many challenges still impede the practical application of this method for industrial environment. Therefore, the paper presents a method that could solve these challenges especially in industrial environment. The proposed self-powered wireless sensor node is integrated in the structure of the cutting tool. The voltage generated from the cutting tool vibrations of the harvester exponentially rises when the capacitor is fully charged and wireless signal sent to the receiver. As the intensity of energy accumulation depends on the state of the cutting tool wear, it indicates and detects the tool condition. The proposed technique could be useful for the identification of the cutting tool quality and the relative tool-work piece position. The information about the variation of tool wear is beneficial for helping the manufacturers to control the cutting process, to minimize the product cost as well as to improve the machining quality and efficiency.

关键词： computer aided education   brain signal   EEG based emotion recognition   brain computer interface  

摘要： Human computer interaction is a growing field in terms of helping people in their daily life to improve their living. Especially, people with some disability may need an interface which is more appropriate and compatible with their needs. Our research is focused on similar kinds of problems, such as students with some mental disorder or mood disruption problems. To improve their learning process, an intelligent emotion recognition system is essential which has an ability to recognize the current emotional state of the brain. Nowadays, in special schools, instructors are commonly use some conventional methods for managing special students for educational purposes. In this paper, we proposed a novel computer aided method for instructors at special schools where they can teach special students with the support of our system using wearable technologies.

关键词： 传感器技术   机电自动化控制   传感器机器人  

摘要： 当前传感器技术的应用已经成为行业创新的重要动力,可以提高信息采集的时效性,实现信息的有效处理与系统的决策控制,促进我国工业化的可持续发展。本文就对传感器技术为基础的机电自动化控制进行分析和探讨。

关键词： 传感器技术   高中物理   夏季奥运会   传感器系统   学习   智能科技   智能机器人   虚拟现实  

摘要： 一、传感器推动智能科技蓬勃发展 在里约夏季奥运会上，VR（虚拟现实）技术、智能机器人拍摄技术等各类高科技传感器技术的应用成为本届奥运会的科技亮点。 1．射箭计分器。为箭靶安装了高科技传感器系统，当箭射出击中目标时，系统会第一时间在大屏幕上显示分数，落点精确在0．2mm以内，非常精准并且反应迅速。

关键词： 矿山生态重建   传感器技术   土壤环境   数据采集分析  

摘要： 通过采用传感器技术、数据采集及处理、数据传输等技术手段,对工程重构区域采用的工程措施的植被恢复土壤环境进行数据采集技术设计及应用,并对植被生长情况进行定期采集分析,指导后期山区采矿迹地项目进度安排与规划设计。以三友石灰石矿迹地生态重构地植物生长监测为研究对象,结合燕山地区该矿实际,开展生态重构监测。获取了石灰岩矿山山体断面上不同区域的孔洞内土壤的温度和含水率信息,对促进采矿迹地生态恢复稳定持续、改善整体生态环境有着重要的指导作用。

关键词： 智能传感器   AMS   市场   设备功能   工业自动化   半导体公司   首席执行官   传感器技术  

摘要： 目前，大家都热衷于探讨物联网，其实物联网是一个面的概念，要想实现物物相连的理想状态，自然少不了传感器的身影。无论是从智能电话到智能家居，还是从可穿戴设备和互联汽车，到工业自动化以及所有涉及物联网的设备，智能传感器都是实现设备功能的基础，也是众多技术创新的核心。近日，全球领先的高性能模拟IC和传感器供应商AMS半导体公司携丰富的传感器解决方案亮相北京，首席执行官Alexnader Everke详细分析了传感器技术和市场新趋势。