为改善航姿参考系统中三轴磁强计校正精度,提出了一种基于泊松模型以及矢量点积不变性的校正方法.该方法利用地磁场矢量与一辅助矢量的点积为常数,无需本地地磁场精确数据,能完全确定泊松模型中的12个补偿系数,并能同时实现三轴磁强计的坐标系对准.针对辅助矢量的不同选择对该方法校正结果的影响,在电子罗盘上进行了实验验证及讨论.实验结果表明,该方法可使电子罗盘航向误差均方值减小到0.1°.

关键词：航姿参考系统；三轴磁强计；校正；点积不变

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相比传统接触式采集方法,非接触采集是目前掌纹识别的趋势和主流,但其低约束性可能导致人手和图像传感器平面不平行,从而使掌纹产生仿射变形.传统的尺度不变特征变换(scale invariant feature transform,SIFT)对此识别效果不佳.针对这个问题,提出一种改进方案,即基于仿射尺度不变特征变换(affine scale invariant feature transform,ASIFT)的掌纹识别方法,建立了变形掌纹的仿射模型,模拟了相机光轴的经度角和纬度角,在仿射空间内提取图像特征.通过基于实际环境所建立的掌纹库——SUT图库验证算法性能,与SIFT算法及目前典型的掌纹识别方法进行对比.结果表明,ASIFT方法具备良好的抗掌纹仿射变形性能,等误率仅为0.6％,证明了该方法能够成功解决掌纹变形问题,鲁棒性和稳定性强,具备优越性.

关键词：模式识别；生物特征；掌纹；仿射模型；仿射尺度不变特征变换

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为了保证光通信终端的精确对准,抑制编码器莫尔条纹正弦性偏差引入的细分误差,设计了基于经验模态分解( empirical mode decomposition,EMD)的正弦性修正方法.首先,介绍了卫星光通信终端跟瞄系统的组成与工作原理.接着,分析了莫尔条纹正弦偏差给系统带来的细分误差并给出满足工程需求的正弦性阈值.然后,在阐述EMD分解原理的基础上,给出了基于EMD的正弦性修正方法,该方法利用编码器自身粗码信息计算转速,从而确定精码莫尔条纹信号的基波频率值,并采用EMD分解在原始信号中提取与该值相匹配的基波分量.最后,对该方法进行了原理和转速自适应性仿真,并应用到去掉光学滤波镜片后的粗瞄回路编码器中.仿真及实验结果表明:在光通信终端的各工作转速下,修正后的莫尔条纹正弦性均小于0 85％,满足细分要求；修正后的精码译码结果精确,编码器测角精度维持在l＂以内,满足终端对准精度的要求.

关键词：卫星光通信；莫尔条纹；正弦偏差；谐波提取；经验模态分解

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关键词：气体检测器；安全装置；工业；商业

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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：中央财政；投资；科学仪器；研发

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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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由于目前的SIFT( scale invariant feature transform)特征提取算法具有较高的时间复杂度,不利于大规模的数据存储和搜索,提出一种简化的SIFT局部图像特征提取算法.改进的SIFT算法针对于描述子生成部分进行简化,将原算法中特征点描述子的矩形区域改为圆形区域,并将RANSAC(random sample consensus)算法应用于SIFT特征匹配中,有效地剔除错误匹配点.采用K.Mikolajczyk的衡量方法,即查全率和错误率进行评估.实验结果显示,算法在旋转、光照、视角变化等情况下都有很好的匹配效果,并且降低了时间复杂度.

关键词：SIFT(scaleinvariantfeaturetransform)；视觉不变量；RANSAC(randomsampleconsensus)

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