利用LabVIEW软件的数据采集与处理系统设计

以北京双诺测控技术有限公司生产的MP420-USB数据采集卡为例,系统的介绍了基于LabVIEW语言的温度数据采集与信号处理的主要流程和处理结果比较。结果表明,利用LabVIEW语言进行信号采集、处理系统是十分方便的,可以方便的移植到其他实验室数据采集过程中。     

A comparison of parallel large-scale knowledge acquisition using rough set theory on different MapReduce runtime systems

Nowadays, with the volume of data growing at an unprecedented rate, large-scale data mining and knowledge discovery have become a new challenge. Rough set theory for knowledge acquisition has been successfully applied in data mining. The recently introduced MapReduce technique has received much attention from both scientific community and industry for its applicability in big data analysis. To mine knowledge from big data, we present parallel large-scale rough set based methods for knowledge acquisition using MapReduce in this paper. We implemented them on several representative MapReduce runtime systems: Hadoop, Phoenix and Twister. Performance comparisons on these runtime systems are reported in this paper. The experimental results show that (1) The computational time is mostly minimum on Twister while employing the same cores; (2) Hadoop has the best speedup for larger data sets; (3) Phoenix has the best speedup for smaller data sets. The excellent speedups also demonstrate that the proposed parallel methods can effectively process very large data on different runtime systems. Pitfalls and advantages of these runtime systems are also illustrated through our experiments, which are helpful for users to decide which runtime system should be used in their applications.     

Design of data acquisition system and algorithm research for omnidirectional gamma-ray positioning equipment

This article introduces the design and performance of the data acquisition system used in an omnidirectional gamma-ray positioning system, along with a new method used in this system to obtain the position of radiation sources in a large field. This data acquisition system has various built-in interfaces collecting, in real time, information from the radiation detector, the video camera and the GPS positioning module. Experiments show that the data acquisition system is capable of carrying out the proposed quantitative analysis to derive the position of radioactive sources, which also satisfies the requirements of high stability and reliability.     

Py4Syn: Python for synchrotrons

In this report, Py4Syn, an open‐source Python‐based library for data acquisition, device manipulation, scan routines and other helper functions, is presented. Driven by easy‐to‐use and scalability ideals, Py4Syn offers control system agnostic solution and high customization level for scans and data output, covering distinct techniques and facilities. Here, most of the library functionalities are described, examples of use are shown and ideas for future implementations are presented.     

基于NiosII的光纤捷联惯导系统数据采集模块设计

针对光纤捷联惯导系统中采用传统技术的导航计算机需重复设计且效率低的现状,提出了一种基于Nios II的光纤捷联惯导数据采集及预处理实现方案;运用verilog HDL语言完成了对光纤捷联惯导系统中挠性加速度计和光纤陀螺仪的数据采集功能IP核设计,采用SOPC(可编程片上系统)技术定制了Nios II软核处理器,并实现16阶FIR低通滤波器的设计;通过对捷联惯导系统的静态采集实验,验证了数据采集功能IP核的准确性和FIR低通滤波器滤除部分噪声的有效性。     

一种遥测数据实时采集压缩系统的实现

This paper introduces a design of variable-speed large-capacity telemetry data acquisition scheme. By using a lossless compression algorithm to improve the compression ratio、the plurality of data compression、decompression speed and compression performance of the algorithm complexity, etc. It presented a data compression core algorithm of LZW (Lempel-Ziv-Welch) and simulated the results of its execution speed and compression algorithms through software. Using master chip FPGA it completed the high-precision data acquisition compression and acquiried the systems overall compression test. After a lot ofStests,it showed thatSthe schemeScompleted a six-way real-time acquisition and compression speed varying parameters, the compression ratio is above 1.8:1 and the indicators meet the design requirements.     

可微调非粘结光锥阵列耦合数字X射线探测器

光锥阵列耦合数字X射线探测器是获得大面积高分辨率数字X射线成像的重要途径,但目前通常采用粘结固定的方式实现光锥阵列各小端面与对应图像传感器芯片之间的耦合.为克服粘结耦合方式的不足,设计并实现了一种可微调的非粘结2×2光锥阵列耦合数字X射线探测器.该方案能够在调节空间受光锥阵列结构和硬件电路板尺寸限制,特别是竖直方向板间距离仅40mm的情况下,通过独特设计的水平和竖直调节机构在同一个调节层上对四块数据采集板分别进行多维度调节.利用四块数据采集板与数据传输板相互分立的特点,设计了基于ARM+4FPGA的嵌入式以太网多CMOS芯片传输数据采集系统,所实现的X射线探测器成像面积达100mm×100mm,能够完成可微调的非粘结耦合和多CMOS芯片的图像数据采集.     

Data processing pipelines for comprehensive profiling of proteomics samples by label-free LC-MS for biomarker discovery

Label-free quantitative LC-MS profiling of complex body fluids has become an important analytical tool for biomarker and biological knowledge discovery in the past decade. Accurate processing, statistical analysis and validation of acquired data diversified by the different types of mass spectrometers, mass spectrometer parameter settings and applied sample preparation steps are essential to answer complex life science research questions and understand the molecular mechanism of disease onset and developments. This review provides insight into the main modules of label-free data processing pipelines with statistical analysis and validation and discusses recent developments. Special emphasis is devoted to quality control methods, performance assessment of complete workflows and algorithms of individual modules. Finally, the review discusses the current state and trends in high throughput data processing and analysis solutions for users with little bioinformatics knowledge.