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关键词： 医疗保健   生命科学   传感器技术   优先处理   动作模式   B2B   改善服务   包裹  

摘要： 联合包裹成立医疗保健和生命科学部门,并推出一项重要的医疗保健产品组合,旨在为B2B客户改善服务。这个全新的医疗保健产品组合名为UPS Premier,它将利用包裹追踪功能和新一代传感器技术,实现较高的追踪准确度,并将采用全新的动作模式,为重要的医疗产品运输提供从始发地到目的地的优先处理服务。

关键词： 传感器技术   数控机床   机电一体化   控制系统   运用  

摘要： 随着社会经济的高速发展,我国科学技术也在不断创新发展,尤其是工业技术方面发生了翻天覆地的变化,随之传感器技术也越来越完善,并被广泛地应用到人们日常生活与工作中。科学技术是国家发展的第一生产力,科学技术的高低代表了一个国家的综合实力,然而在技术创新发展过程中一定会出现各种各样的问题,如何解决这些问题,提高技术的应用性、有效性和稳定性,便成为一个需要长期探究的重要课题。传感器技术的发明给日常生活工作、工业生产和企业创新发展带来了极大的便利,也是实现机电一体化的必备条件,对我国工业技术发展起到了强有力的促进作用。本文以传感器技术应用的发展现状作为切入点,分析其存在的问题,并以数控机床为例,浅析传感器技术在数控机床中的应用原理,探寻传感器技术未来的发展趋势。

关键词： 机电一体化系统   机械自动化   传感器技术   零部件加工  

摘要： 传感器技术是机电一体化领域中的重要技术组成,是促进机电一体化系统发展的重要动力,是机电一体化系统应用在社会生产各个方面的基础。目前,传感器的应用已经十分广泛,机电一体化系统也在众多领域中得到广泛应用,本文主要从传感器技术、机电一体化系统本身入手,分析传感器技术在机电一体化系统中的作用,探讨传感器技术在机电一体化系统中的具体应用,希望可以为传感器技术发展以及进一步发展机电一体化系统提供一些思路。

关键词： 美国国家科学院   美国科学院   系统的要素   生物传感器   首选项   连续监测   传感器技术   整体思维  

摘要： 2019年12月16日,美国国家科学院、工程院和医学院联合发布了题为“Science Breakthroughs to Advance Food and Agricultural Research by 2030”的研究报告,描述了美国科学家眼中农业领域亟待突破的5大研究方向。第一,整体思维和系统认知分析技术是实现农业科技突破的首要前提。报告建议将跨学科研究和系统方法作为解决重大关键问题的首选项。系统认知就是要从系统的要素构成、互作机理和耦合作用方面来探索问题解决的途径。第二,新一代传感器技术将成为推动农业领域进步的底层驱动技术。量值定义世界,精准决定未来。美国将高精度、精准、可现场部署的传感器以及生物传感器的开发、应用作为未来技术突破的关键。新一代传感器所具备的快速检测、连续监测、实时反馈能力,将为系统认知提供数据基础,赋予人类“防治未病”的能力,即在出现病症前就能发现问题、解决问题。

关键词： scapula   frozen shoulder   adhesive capsulitis   reliability   shoulder   kinematic  

摘要： Adhesive capsulitis (AC) is a glenohumeral (GH) joint condition, characterized by decreased GH joint range of motion (ROM) and compensatory ROM in the elbow and scapulothoracic (ST) joint. To evaluate AC progression in clinical settings, objective movement analysis by available systems would be valuable. This study aimed to assess within-session and intra- and inter-operator reliability/agreement of such a motion capture system. The MVN-Awinda (R) system from Xsens Technologies (Enschede, The Netherlands) was used to assess ST, GH, and elbow ROM during four tasks (GH external rotation, combing hair, grasping a seatbelt, placing a cup on a shelf) in 10 AC patients (mean age = 54 (+/- 6), 7 females), on two test occasions (accompanied by different operators on second occasion). Standard error of measurements (SEMs) were below 1.5 degrees for ST pro-retraction and 4.6 degrees for GH in-external rotation during GH external rotation;below 6.6 degrees for ST tilt, 6.4 degrees for GH flexion-extension, 7.1 degrees for elbow flexion-extension during combing hair;below 4.4 degrees for GH ab-adduction, 13 degrees for GH in-external rotation, 6.8 degrees for elbow flexion-extension during grasping the seatbelt;below 11 degrees for all ST and GH joint rotations during placing a cup on a shelf. Therefore, to evaluate AC progression, inertial sensors systems can be applied during the execution of functional tasks.

关键词： BIG data   INFORMATION storage & retrieval systems   INTELLIGENT sensors   TECHNOLOGY   INTELLIGENT transportation systems  

摘要： The article offers information on the Ilmenau University of Technology’s intensifying its research efforts in order to master the rapid increase in data during the course of digitisation. It focuses on conventional data processing methods that capture all of the available data, often resulting in highly redundant measurement signals.

关键词： information and communications technology (ICT)   machine learning   monitoring   sensor   water quality  

摘要： Water quality control and management in water resources are important for providing clean and safe water to the public. Due to their large area, collection, analysis, and management of a large amount of water quality data are essential. Water quality data are collected mainly by manual field sampling, and recently real-time sensor monitoring has been increasingly applied for efficient data collection. However, real-time sensor monitoring still relies on only a few parameters, such as water level, velocity, temperature, conductivity, dissolved oxygen (DO), and pH. Although advanced sensing technologies, such as hyperspectral images (HSI), have been used for the areal monitoring of algal bloom, other water quality sensors for organic compounds, phosphorus (P), and nitrogen (N) still need to be further developed and improved for field applications. The utilization of information and communications technology (ICT) with sensor technology shows great potential for the monitoring, transmission, and management of field water-quality data and thus for developing effective water quality management. This paper presents a review of the recent advances in ICT and field applicable sensor technology for monitoring water quality, mainly focusing on water resources, such as rivers and lakes, and discusses the challenges and future directions.