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A high dynamic range pulse counting detection system for mass spectrometry

RAPID COMMUNICATIONS IN MASS SPECTROMETRY 2014年第2期28卷 209-216页

作者： Collings, Bruce A. Dima, Martian D. Ivosev, Gordana Zhong, Feng AB Sciex Concord ON L4K 4V8 Canada

RATIONALEA high dynamic range pulse counting system has been developed that demonstrates an ability to operate at up to 2e8 counts per second (cps) on a triple quadrupole mass spectrometer. Previous pulse counting detection systems have typically been limited to about 1e7 cps at the upper end of the systems dynamic range. Modifications to the detection electronics and dead time correction algorithm are described in this paper. METHODSA high gain transimpedance amplifier is employed that allows a multi-channel electron multiplier to be operated at a significantly lower bias potential than in previous pulse counting systems. The system utilises a high-energy conversion dynode, a multi-channel electron multiplier, a high gain transimpedance amplifier, non-paralysing detection electronics and a modified dead time correction algorithm. Modification of the dead time correction algorithm is necessary due to a characteristic of the pulse counting electronics. RESULTSA pulse counting detection system with the capability to count at ion arrival rates of up to 2e8 cps is described. This is shown to provide a linear dynamic range of nearly five orders of magnitude for a sample of aprazolam with concentrations ranging from 0.0006970ng/mL to 3333ng/mL while monitoring the m/z 309.1m/z 205.2 transition. This represents an upward extension of the detector's linear dynamic range of about two orders of magnitude. CONCLUSIONSA new high dynamic range pulse counting system has been developed demonstrating the ability to operate at up to 2e8 cps on a triple quadrupole mass spectrometer. This provides an upward extension of the detector's linear dynamic range by about two orders of magnitude over previous pulse counting systems. Copyright (c) 2013 John Wiley & Sons, Ltd.

关键词： high dynamic range pulse mass spectrometry Mass spectroscopy correction algorithm counts per second Dynamic range linear dynamic range pulse counting Detection systems

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Study of Track Irregularity Time Series Calibration and Variation Pattern at Unit Section

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COMPUTATIONAL INTELLIGENCE AND NEUROSCIENCE 2014年第1期2014卷 727948-727961页

作者： Jia, Chaolong Wei, Lili Wang, Hanning Yang, Jiulin Chongqing Univ Posts & Telecommun Sch Software Engn Chongqing 400065 Peoples R China Chongqing Publ Secur Bur Chongqing 401147 Peoples R China Beijing Jiaotong Univ State Key Lab Rail Traff Control & Safety Beijing 100044 Peoples R China China Natl Tendering Ctr Mach & Elec Equipment Beijing 100142 Peoples R China

Focusing on problems existing in track irregularity time series data quality, this paper first presents abnormal data identification, data offset correction algorithm, local outlier data identification, and noise cancellation algorithms. And then proposes track irregularity time series decomposition and reconstruction through the wavelet decomposition and reconstruction approach. Finally, the patterns and features of track irregularity standard deviation data sequence in unit sections are studied, and the changing trend of track irregularity time series is discovered and described.

关键词： correction algorithm track irregularity Time series

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FACET - a "Flexible Artifact correction and Evaluation Toolbox" for concurrently recorded EEG/fMRI data

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BMC NEUROSCIENCE 2013年第1期14卷 1-21页

作者： Glaser, Johann Beisteiner, Roland Bauer, Herbert Fischmeister, Florian Ph S. Univ Vienna Fac Psychol Biol Psychol Unit A-1010 Vienna Austria Med Univ Vienna High Field MR Ctr Excellence A-1090 Vienna Austria Med Univ Vienna Dept Neurol Study Grp Clin fMRI A-1090 Vienna Austria

Background: In concurrent EEG/fMRI recordings, EEG data are impaired by the fMRI gradient artifacts which exceed the EEG signal by several orders of magnitude. While several algorithms exist to correct the EEG data, these algorithms lack the flexibility to either leave out or add new steps. The here presented open-source MATLAB toolbox FACET is a modular toolbox for the fast and flexible correction and evaluation of imaging artifacts from concurrently recorded EEG datasets. It consists of an ANALYSIS, a correction and an EVALUATION framework allowing the user to choose from different artifact correction methods with various pre- and post-processing steps to form flexible combinations. The quality of the chosen correction approach can then be evaluated and compared to different settings. Results: FACET was evaluated on a dataset provided with the FMRIB plugin for EEGLAB using two different correction approaches: Averaged Artifact Subtraction (AAS, Allen et al., NeuroImage 12(2):230-239, 2000) and the FMRI Artifact Slice Template Removal (FASTR, Niazy et al., NeuroImage 28(3):720-737, 2005). Evaluation of the obtained results were compared to the FASTR algorithm implemented in the EEGLAB plugin FMRIB. No differences were found between the FACET implementation of FASTR and the original algorithm across all gradient artifact relevant performance indices. Conclusion: The FACET toolbox not only provides facilities for all three modalities: data analysis, artifact correction as well as evaluation and documentation of the results but it also offers an easily extendable framework for development and evaluation of new approaches.

关键词： correction algorithm Template Generation Artifact correction Adaptive Noise Cancellation fMRI Acquisition

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TDI CCD Non-Uniformity correction algorithm

TDI CCD Non-Uniformity Correction Algorithm

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4th IEEE Conference on Industrial Electronics and Applications

作者： Li, Tao He, Mingyi Lei, Ning Li, Chunmei Wang, Qingyuan Northwestern Polytech Univ Sch Elect & Informat Xian 710072 Peoples R China Beijing Inst Space Mech & Elect Beijing Peoples R China

ISBN: (纸本)9781424427994

With the increasing demand for the development of high quality remote sensing image techniques, the problem of image degradation causing by pixel-response non-uniformity (PRNU) is becoming a key issue. In this paper, a novel PRNU correction algorithm is proposed and implemented on FPGA hardware platform. Firstly, the characteristic of the CCD noise is analyzed. Secondly, the degradation model of pixel-response non-uniformity is described and the correction algorithm is designed. Thirdly, the calculation precision is analyzed and the factors affecting the result of correction are analyzed. Finally, the proposed correction algorithm is tested in the hardware circuit. The experimental results show that SNR of the image is improved remarkably through correction processing.

关键词： CCD SNR pixel-response non-uniformity correction algorithm

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Towards Autonomous Robot Machining

Towards Autonomous Robot Machining

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ISR/Robotik 2014;41st International Symposium on Robotics

作者： Frank Domroes Michael Rieger Bernd Kuhlenkoetter TU Dortmund University

This paper presents the design of a robotic machining system, developed to face the requirement of high flexibility in milling and deburring operations in small batch production. By using a flexibile programming concept, based on robot force control and changing feed speed, we allow autonomous adaption of paths along the workpiece contour and process a milling operation accordingly. We take into account that gripped parts might be misaligned and present a correction algorithm from laser distance measurements.

关键词： workpiece contour batch production correction algorithm Autonomous robots milling Machine Systems machining milling operation deburring feed speed Force control

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Numerical Integration with Constraints for Mesh less Local Petrov-Galerkin Methods

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CMES-COMPUTER MODELING IN ENGINEERING & SCIENCES 2013年第3期95卷 205-228页

作者： Sun, L. Yang, G. Zhang, Q. Guangdong Univ Petrochem Technol Sch Sci Maoming 525000 Guangdong Peoples R China Zhongyuan Univ Technol Sch Comp Sci Zhengzhou 450007 Peoples R China Sun Yat Sen Univ Guangdong Prov Key Lab Computat Sci Guangzhou 510275 Guangdong Peoples R China Sun Yat Sen Univ Dept Sci Comp & Comp Applicat Guangzhou 510275 Guangdong Peoples R China

We propose numerical integration rules for meshless local Petrov-Galerkin methods (MLPG) employed to solve elliptic partial different equations (PDE) with Neumann boundary conditions. The integration rules are required to satisfy an integration constraint condition of Green's formula type (GIC). GIC was first developed in [Babuska, Banerjee, Osborn, and Zhang (2009)] for Galerkin meshless method, and we will show in this paper that it has better features for MLPG due to flexibility of MLPG in choosing different trial and test function spaces. A general constructive algorithm is presented to design the integration rules satisfying GIC. We also present a useful situation, where GIC holds automatically for Gaussian rules. According to this, we conclude that the conical weight is suggested to adopt in MLPG from viewpoint of reducing integration complexity. Approach to extending GIC in [Babuska, Banerjee, Osborn, and Zhang (2009)] to more general elliptic PDE, such as elasticity equation, is discussed. The 1D and 2D numerical results illuminate that GIC reduces the errors in the approximate solutions of MLPG significantly.

关键词： Meshless Petrov-Galerkin method (MLPG) numerical integration integration constraint Green's formula correction algorithm conical weight

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Thermal expansion coefficient and algebraic models to correct values of specific mass as a function of temperature for corn biodiesel

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FUEL 2013年 106卷 646-650页

作者： Santos, Douglas Queiroz de Lima, Ana Lucia de Lima, Ana Paula Borges Neto, Waldomiro Fabris, Jose Domingos Univ Fed Uberlandia Inst Chem BR-38408100 Uberlandia MG Brazil Fed Univ Jequitinhonha & Mucuri Valleys UFVJM BR-39100000 Diamantina MG Brazil

Values of thermal expansion coefficients (b) were experimentally determined for three samples: a mineral diesel and two biodiesels constituted by either fatty acid ethyl esters (FAEE) or fatty acid methyl esters (FAME), from transesterification reactions using raw corn oil and ethyl or methyl alcohol. Values of b were found to be 8.36 (+/- 0.06) 10(-4) degrees C-1, 8.43 (+/- 0.09) x 10(-4) degrees C-1 and 8.39 (+/- 0.03) x 10(-4) degrees C-1, respectively, within 95% of statistical confidence. The thermal expansion coefficients for biodiesels from corn are higher than that for the mineral diesel. The expansion coefficient is also a key parameter in modeling fuel injection system of internal combustion engines. Comparing the two sets of data, for fossil diesel and biodiesel provides essential information to support the design and optimization of more efficient engines. A higher value for the cubic expansion coefficient implies that less specific mass of fuel is injected at higher temperatures, which can cause a loss in engine power. This is a fundamental parameter, reinforcing further the interest to establish an algebraic model to estimate the specific mass for a biofuel as a function of temperature, which is thought to be significantly different from that more commonly used for the fossil diesel. Polynomial models for such a correction were determined in this work;resulting rates for diesel and for corn oil biodiesels, based on either fatty acid methyl esters (FAME) or fatty acid ethyl esters (FAEE), were respectively -0.7089 kg m(-3) T-1, -0.7323 kg m(-3) T-1 and -0.7313 kg m(-3) T-1. From the linear correlation between these data and those from standard EN 14214, values for the sensitivity (slope term) are seemingly small, or roughly 0.723, but are high enough to cause relatively large impacts, in financial terms, for cases involving considerably big volumes of biodiesel, in commercial transactions. (c) 2012 Elsevier Ltd. All rights reserved.

关键词： Biodiesel Expansion coefficient correction algorithm Specific mass

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System for neuromorphic estimation of rotation of a mobile technological platform

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TECHNICAL PHYSICS 2013年第7期58卷 946-949页

作者： Devyatisil'nyi, A. S. Far Eastern Fed Univ Vladivostok 690950 Russia

A model of an astroinertial system with a correction algorithm is suggested. This algorithm is an extended interpretation of a Kalman-type algorithm. The results of computational experiment are reported.

关键词： System neuromorphic estimation Neuromorphics correction algorithm

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Wavelength Dispersion Analysis on Fiber-Optic Raman Distributed Temperature Sensor System

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Photonic Sensors 2013年第3期3卷 256-261页

作者： Weijie WANG Jun CHANG Guangping LV Zongliang WANG Zhi LIU Sha LUO Shuo JIANG Xiangzhi LIU Xiaohui LIU Yongning LIU School of Information Science and Engineering and Shandong Provincial Key Laboratory of Laser Technology and Application Shandong University Jinan 250100 P. R. China Institute of Automation Shandong Academy of Sciences Jinan 250014 China

The influence of the wavelength dispersion on the temperature accuracy of the Raman distributed temperature sensor system （RDTS） is analyzed in detail, and a simple correction algorithm is proposed to compensate the fiber position error caused by the wavelength dispersion. The principle of the proposed algorithm is described theoretically, and the correction on each point along the entire fiber is realized. Temperature simulation results validate that the temperature distortion is corrected and the temperature accuracy is effectively improved from ＋5 ℃ to ±1 ℃.

关键词： Distributed temperature sensor wavelength dispersion correction algorithm

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Analysis of Sampling Error in FTIR

Analysis of Sampling Error in FTIR

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3rd International Conference on Photonics and Image in Agriculture Engineering (PIAGENG) - Image Processing and Photonics for Agricultural Engineering

作者： Kang, Ya Chongqing City Management Coll Dep Engi Management Chongqing 401331 Peoples R China

ISBN: (纸本)9780819495587

In Fourier transform infrared spectrometer (FTIR), the optical path difference of laser metrology is applied to increase spectrum measure precision. However, due to the characteristics of laser single frequency and steady frequency, the uneven speed of moving mirror, circuit delay etc. cause the deviation of sampling point. In this paper, based on the interference theory of spectrometer, according to the Fourier contrary transform and methods of error analysis, the theory model between relative error of spectrum measure and the deviation of sampling point is established. Some simulation computations of the model have been done, the result indicates that, as a theory basis, the model can be applied in analyzing the sampling error of spectrometer and correction algorithm.

关键词： infrared technology spectrum measure Fourier contrary transform sampling error correction algorithm

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