Meter data management is the key component of smart grid infrastructure that helps in managing data collection from AMI. A meter data management system imports data, validates data, cleanses it, and also processes the data, before it can be used for billing and analysis. Meter data management systems are central components of smart metering solutions, as a result of which demand for them is increasing. This is a major reason for the increase in adoption of meter data management systems by various end-users.The Global Meter Data Management market is expected to experience fast growth during the period 2012-2016. One of the reasons for this fast growth is the increasing need to manage the meter data generated by using AMI. The Global Meter Data Management market is expected to grow at a CAGR of 16.55 percent during the forecast period.

关键词：仪表数据管理；智能电网；基础设施；计费和分析

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There are various kinds of automation instrument, including control valve, temperature transmitter, level transmitter, flow transmitter, and pressure transmitter. These products are used across various process and discrete industries such as Oil and Gas, Chemical, Refining, Power, Petrochemical, Textile, Automotive, and Pharmaceutical. Organizations across industries deploy these automation instruments to improve their operational efficiency. Moreover, effective deployment of these automation instruments helps organizations to minimize their process downtime, and optimizing their overall operational costs.The Global Automation Instrumentation market is expected to grow at a steady rate during the period 2014-2018. The market was dominated by the APAC region in 2013, followed by the EMEA region. Some of the major vendors in the Global Automation Instrumentation market are ABB Ltd., Honeywell International Inc., Yokogawa Electric Corp., and Emerson Electric Co. The overall market is expected to grow at a CAGR of 4.96 percent during the forecast period.

关键词：自动化仪器；控制阀；温度变送器；液位变送器；流量变送器

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Biochemistry analyzers are used for the analysis of biochemical entities namely metabolites, ions, and enzymes. They are analyzed routinely in the laboratory to detect any abnormalities in the levels of their secretion. Owing to increased demand for rapid testing, the biochemistry analyzers are automated and integrated as a unit in small to large-sized laboratories. As a result, biochemistry analyzers have become an important accessory tool for the in vitro diagnostics.In 2012, most of the growth in the Global Biochemistry Analyzers market stemmed from the Americas and the EMEA region, which together accounted for 78 percent of the market. The APAC region is expected to grow at the fastest pace when compared to the other regions owing to the increasing incidence of infectious diseases, high awareness levels, and the increase in healthcare spending in the emerging economies of the APAC region. The Global Biochemistry Analyzers market is expected to grow at a CAGR of 4.12 percent.

关键词：生化分析仪；代谢产物；分泌水平；体外诊断

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关键词：装备业；知识产权；基础服务；专利申请

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关键词：中央财政；投资；科学仪器；研发

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DV-HOP(distance vector-hop)定位算法中,未知节点与锚节点之间的距离计算存在误差,引起计算坐标与实际位置偏离,影响定位精度.针对这一问题,提出一种基于隶属度的二次求精矢量跳距定位算法,采用对应的锚节点跳距校正值计算节点间距离,减小计算误差;运用自动控制理论中反馈控制原理,将未知节点与锚节点的距离范围信息作为输入量,未知节点的估计坐标信息作为输出量,通过隶属度函数进行偏差分析,二次求精校正未知节点位置.通过仿真对算法性能进行对比分析,结果表明该算法具有较高的定位精度;并通过应用环境测试,验证了算法的可行性.

关键词：无线传感器网络；定位算法；隶属度；二次求精

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鉴于人脸和人耳在生理位置上的特殊关系,本文将两者进行特征层串联融合,提出了一种多模态生物特征模板保护方法.该方法包括3个步骤:第一步采用随机映射矩阵对特征提取后的特征向量做可撤销变换,得到可撤销模板；第二步采用类分布保留变换对可撤销模板进行非线性变换,将实值人脸入耳融合特征模板转换成二值模板；第三步采用模糊承诺方法对二值模板进行保护.针对传统模糊承诺方法对随机密钥未加保护的安全性缺陷,提出了基于ASE算法的改进模糊承诺方法.在两个人脸人耳多模态图像库上的实验结果表明,采用多模态生物特征模板保护比采用人脸单模态模板保护能取得更好的认证性能.

关键词：多模态生物特征识别；生物特征模板保护；模糊承诺

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由于测试性虚拟试验可有效弥补测试性实物试验的不足,但同时也对故障注入样本生成提出新的要求.在可修系统修复如新假设下,提出一种基于更新过程理论和蒙特卡罗仿真的故障注入样本模拟生成方法.首先分析指出修复如新假设下可修系统的故障发生过程是随机过程,并用更新过程描述修复如新下可修系统的故障发生过程;然后,基于统计仿真实验中的蒙特卡罗方法,对事后维修模式下的故障发生过程进行抽样,实现故障注入样本的模拟生成;最后,以某稳定跟踪平台上的陀螺和运动控制器为案例进行实验.由于考虑了多种寿命分布类型,模拟生成的故障样本在样本量和样本结构上符合实际情况,所提出的方法能有效指导修复如新和事后维修情况下测试性虚拟验证试验中的故障注入.

关键词：修复如新；虚拟试验；故障注入；更新过程；蒙特卡罗；事后维修

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通过对一类锻造液压机的分析,在考虑多缸耦合情况下为其建立了非线性系统数学模型.将该模型视为非线性关联大系统,且将其转化为可控正则型,提出采用分散滑模控制理论对其进行滑模变结构控制.针对模型转换后控制方程中状态量与控制量同时具有关联性的特点,提出通过模拟求解一个多元一次方程组的方法,得到了基于指数趋近律的分散滑模控制律,有效解决了多缸耦合情况下控制律难于求解的问题.仿真结果表明,所设计的控制器使系统实现了高精度的位置跟踪,获得了较强的抗扰性,控制效果良好,且所提方法思路清晰,为同类模型的控制方案提供了参考.

关键词：液压机；分散；滑模；非线性

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针对生产线上动态工件的跟踪分拣问题,提出了一种Kalman预测目标和Mean-Shift搜索目标综合应用的跟踪算法,实现了对履带上工件的动态跟踪.该算法首先利用Kalman滤波估计出后续运动目标的位置、速度和匹配范围,然后使用基于HSV色彩空间融合的Mean-Shift算法进行小范围搜索和目标匹配,最后将Mean-Shift算法得到的目标位置作为下一帧Kalman滤波器的输入参数使得后续状态具有预测的能力,迭代执行,直至搜索到目标为止.实验证明,该算法能够有效解决动态工件的跟踪和定位问题.

关键词：目标跟踪；卡尔曼滤波；均值漂移；色彩空间转换

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