Conferences related to Measurement Uncertainty

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2020 59th IEEE Conference on Decision and Control (CDC)

The CDC is the premier conference dedicated to the advancement of the theory and practice of systems and control. The CDC annually brings together an international community of researchers and practitioners in the field of automatic control to discuss new research results, perspectives on future developments, and innovative applications relevant to decision making, automatic control, and related areas.


2020 IEEE Applied Power Electronics Conference and Exposition (APEC)

APEC focuses on the practical and applied aspects of the power electronics business. Not just a power designer’s conference, APEC has something of interest for anyone involved in power electronics including:- Equipment OEMs that use power supplies and converters in their equipment- Designers of power supplies, dc-dc converters, motor drives, uninterruptable power supplies, inverters and any other power electronic circuits, equipments and systems- Manufacturers and suppliers of components and assemblies used in power electronics- Manufacturing, quality and test engineers involved with power electronics equipment- Marketing, sales and anyone involved in the business of power electronic- Compliance engineers testing and qualifying power electronics equipment or equipment that uses power electronics


2020 IEEE International Conference on Plasma Science (ICOPS)

IEEE International Conference on Plasma Science (ICOPS) is an annual conference coordinated by the Plasma Science and Application Committee (PSAC) of the IEEE Nuclear & Plasma Sciences Society.


2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

The 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC 2020) will be held in Metro Toronto Convention Centre (MTCC), Toronto, Ontario, Canada. SMC 2020 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report most recent innovations and developments, summarize state-of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems, and cybernetics. Advances in these fields have increasing importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience and thereby improve quality of life. Papers related to the conference theme are solicited, including theories, methodologies, and emerging applications. Contributions to theory and practice, including but not limited to the following technical areas, are invited.


2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


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Periodicals related to Measurement Uncertainty

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Antennas and Wireless Propagation Letters, IEEE

IEEE Antennas and Wireless Propagation Letters (AWP Letters) will be devoted to the rapid electronic publication of short manuscripts in the technical areas of Antennas and Wireless Propagation.


Applied Superconductivity, IEEE Transactions on

Contains articles on the applications and other relevant technology. Electronic applications include analog and digital circuits employing thin films and active devices such as Josephson junctions. Power applications include magnet design as well asmotors, generators, and power transmission


Automatic Control, IEEE Transactions on

The theory, design and application of Control Systems. It shall encompass components, and the integration of these components, as are necessary for the construction of such systems. The word `systems' as used herein shall be interpreted to include physical, biological, organizational and other entities and combinations thereof, which can be represented through a mathematical symbolism. The Field of Interest: shall ...


Automation Science and Engineering, IEEE Transactions on

The IEEE Transactions on Automation Sciences and Engineering (T-ASE) publishes fundamental papers on Automation, emphasizing scientific results that advance efficiency, quality, productivity, and reliability. T-ASE encourages interdisciplinary approaches from computer science, control systems, electrical engineering, mathematics, mechanical engineering, operations research, and other fields. We welcome results relevant to industries such as agriculture, biotechnology, healthcare, home automation, maintenance, manufacturing, pharmaceuticals, retail, ...


Circuits and Systems for Video Technology, IEEE Transactions on

Video A/D and D/A, display technology, image analysis and processing, video signal characterization and representation, video compression techniques and signal processing, multidimensional filters and transforms, analog video signal processing, neural networks for video applications, nonlinear video signal processing, video storage and retrieval, computer vision, packet video, high-speed real-time circuits, VLSI architecture and implementation for video technology, multiprocessor systems--hardware and software-- ...


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Most published Xplore authors for Measurement Uncertainty

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Xplore Articles related to Measurement Uncertainty

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Measurement uncertainty of fast pulse voltages measurements with capacitive divider

2016 IEEE International Power Modulator and High Voltage Conference (IPMHVC), 2016

Causes of measurement uncertainties might be numerous and as the rule, not all of them can be considered. Two basic types of measurement uncertainty are the type A and the type B. Measurement uncertainty of type A is determined only by method of statistical data processing. A result of this is that measurement uncertainty of type A exists only in ...


Evaluation of Touch Trigger Probe Measurement Uncertainty Using FEA

2006 IEEE Instrumentation and Measurement Technology Conference Proceedings, 2006

Evaluation of measurement uncertainty is an essential subject in dimensional measurement. It has also become a dominant issue in coordinate measuring machine (CMM) even though its machine performance has been well accepted by many users. CMM probes, especially touch trigger probes which are commonly used, have been acknowledged as a key error source, largely due to pre-travel variations. The probe ...


The measurement uncertainty evaluation of a reversal error for the ALSM

2015 15th International Conference on Control, Automation and Systems (ICCAS), 2015

Most recently, the measurement uncertainty evaluation employs entirely for evaluating the measurement process which is also use to investigate the residual error of length measuring system. This paper presents the measurement uncertainty of the reversal errors that would be compensated by using the error with the measurement uncertainty compensation module. The confident level of measurement uncertainty is approximately 95%. This ...


The evaluation of measurement uncertainty for laser tracker based on Monte Carlo method

2011 IEEE International Conference on Mechatronics and Automation, 2011

The laser tracker is adopted the multi-station and time-sharing measurement principle to rapidly and accurately detect the precision of machine tool. In accordance with international standard, the measurement results should also give the corresponding measurement uncertainty. In the paper, the Monte Carlo method is used to evaluate the measurement uncertainty of laser tracker's multi-station and time-sharing measurement. The N pseudo-measured ...


Estimation of measurement uncertainty for devices with extreme fisher information

2015 IEEE International Conference on Applied Superconductivity and Electromagnetic Devices (ASEMD), 2015

In practical devices or materials measurement, such as electromagnetic devices measurement, the systematic effects cannot be corrected and quantified one by one, or the identification of systematic effects is too expensive. So, this paper proposes a method in an information view to directly estimate the measurement uncertainty interval. In the proposed method, the extreme Fisher information (EFI) is adopted based ...


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Educational Resources on Measurement Uncertainty

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IEEE.tv Videos

MicroApps: Recent Improvement on Y-Factor Noise Figure Measurement Uncertainty (Agilent Technologies)
Quadrotor Trajectory Tracking with L1 Optimal control
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 7 of 7 - SQUID-based noise thermometers for sub-Kelvin thermometry
IMS 2011 Microapps - A Comparison of Noise Parameter Measurement Techniques
Probabilistic AI: Quantum & Probabilistic Computing - Jean Simatic at INC 2019
IMS 2011 Microapps - Vector-Receiver Load Pull - Measurement Accuracy at its Best
IMS 2011 Microapps - Ultra Low Phase Noise Measurement Technique Using Innovative Optical Delay Lines
IMS 2011 Microapps - Waveguide Characteristics and Measurement Errors
IMS 2012 Microapps - Passive Intermodulation (PIM) measurement using vector network analyzer Osamu Kusano, Agilent CTD-Kobe
Robotics History: Narratives and Networks Oral Histories: Max Mintz
I2MTC 2014 Conference Preview
APEC 2012 - Thomas S. Buzak Plenary
5G Wireless A Measurement and Metrology Perspective: MicroApps 2015 - Keysight Technologies
Micro-Apps Keynote 2013: Modern RF Measurements and How They Drive Spectrum Analyzer Digital IF Processor Design
MicroApps: Measurement Advances for Differential and I/Q Devices (Agilent Technologies)
Innovative Transmission Line Measurement and Characterization Reduce Time to Repair for Complex Communication Systems: MicroApps 2015 - Keysight Technologies
Voltage Metrology with Superconductive Electronics
National Strategic Computing Initiative - Carl Williams: 2016 International Conference on Rebooting Computing
IMS 2014: Wideband mmWave Channels: Implications for Design and Implementation of Adaptive Beam Antennas
Brooklyn 5G Summit 2014: Channel Measurements Summary by Ted Rappaport

IEEE-USA E-Books

  • Measurement uncertainty of fast pulse voltages measurements with capacitive divider

    Causes of measurement uncertainties might be numerous and as the rule, not all of them can be considered. Two basic types of measurement uncertainty are the type A and the type B. Measurement uncertainty of type A is determined only by method of statistical data processing. A result of this is that measurement uncertainty of type A exists only in case of a measurement repeated several times. Measurement uncertainty of type B is determined by all other methods, except by the statistical method. Measurement uncertainty type B is used regardless if individual or repeated measurements are the issue. The combined measurement uncertainty represents a resultant value in case when a measuring uncertainty originates from two or more different components. The influence of measurement uncertainty of type A and B as well as combined uncertainty during the measuring of fast pulses by using capacitive divider have been considered in the paper. A budget of measurement uncertainty has been formed for that purpose, the one that is characteristic for measuring fast pulses with a capacitive divider. Several types of capacitive dividers have been designed and used (with different types of high-voltage capacitor, low-voltage capacitor and with adjustable resistance) that provide minimization of certain measurement uncertainty budget components. Measuring of pulse voltages under well-controlled laboratory conditions has been performed for each type of capacitive divider. The parameter of these experiments will be pulse rising time (in the ranges of ms, μs, ns). On basis of the obtained results, it is possible to conclude which components of the voltage divider (construction, materials, capacitance, inductivity etc.) influence the measurement uncertainty. The paper provides recommendations for choosing the optimal type of capacitive divider in accordance with minimal measurement uncertainty.

  • Evaluation of Touch Trigger Probe Measurement Uncertainty Using FEA

    Evaluation of measurement uncertainty is an essential subject in dimensional measurement. It has also become a dominant issue in coordinate measuring machine (CMM) even though its machine performance has been well accepted by many users. CMM probes, especially touch trigger probes which are commonly used, have been acknowledged as a key error source, largely due to pre-travel variations. The probe errors result in large measurement uncertainty in CMM measurement. Various methods have been introduced to estimate measurement uncertainty, but they tend to be time consuming and necessarily require a large amount of experimental data for analyzing the uncertainty. This paper presents the method of evaluation of CMM probe uncertainty using FEA modeling. It is started with the investigation of the behavior of probe by recording stylus displacement with vary triggering force. Then, those displacement results will be analyzed with sensitivity analysis technique to estimate the uncertainty of recorded results

  • The measurement uncertainty evaluation of a reversal error for the ALSM

    Most recently, the measurement uncertainty evaluation employs entirely for evaluating the measurement process which is also use to investigate the residual error of length measuring system. This paper presents the measurement uncertainty of the reversal errors that would be compensated by using the error with the measurement uncertainty compensation module. The confident level of measurement uncertainty is approximately 95%. This evaluation result of the measuring system errors were approximately minimized to 8.0 μm.

  • The evaluation of measurement uncertainty for laser tracker based on Monte Carlo method

    The laser tracker is adopted the multi-station and time-sharing measurement principle to rapidly and accurately detect the precision of machine tool. In accordance with international standard, the measurement results should also give the corresponding measurement uncertainty. In the paper, the Monte Carlo method is used to evaluate the measurement uncertainty of laser tracker's multi-station and time-sharing measurement. The N pseudo-measured data are generated by the measured ranging data of laser tracker, and the N calculation results of base point will be determined by the algorithm for base point calibration. It can obtain the measurement uncertain of ase point by calculating standard deviation of the N calculation results, then it can calculate the measurement uncertainty of each measuring point. The measurement uncertainty for the base point and measuring point can be comparatively accurately evaluated based on Monte Carlo method through less measurement times, meanwhile, it does not need to determine the uncertainty propagation coefficient of each error source, which bring great convenience in the actual calculation. Results of simulation and experiment shows the Monte Carlo method is an effective evaluation method of measurement uncertainty.

  • Estimation of measurement uncertainty for devices with extreme fisher information

    In practical devices or materials measurement, such as electromagnetic devices measurement, the systematic effects cannot be corrected and quantified one by one, or the identification of systematic effects is too expensive. So, this paper proposes a method in an information view to directly estimate the measurement uncertainty interval. In the proposed method, the extreme Fisher information (EFI) is adopted based on readily provided prior information (such as the specified first-order moment) to estimate the boundary information of measurement that is the essence of the measurement uncertainty interval. Experiments are conducted. The numerical results verified the effectiveness of the proposed EFI method. However, limited by the space, only one experiment with numerical results is shown here.

  • Measurement Uncertainty of Antenna Efficiency in a Reverberation Chamber

    Reverberation chambers have been used for measuring antenna efficiencies. In this letter, the measurement uncertainty of the efficiency measurement is analyzed and a simple uncertainty model is given. The model is verified by extensive measurements.

  • Decision Making in the Presence of Measurement Uncertainty: an Approach in Terms of the Theory of Evidence

    In almost every scientific and technical activity, decisions are taken on the basis of data coming from the field, either in a direct way (measurement results) or in an indirect way (as the result of some processing of the experimental data). Generally, decisions are taken by comparing data coming from the field with each other or with a given threshold. The problem is that experimental data, collected as the results of a measurement activity, are affected by uncertainty, and therefore the comparison cannot be performed as a simple comparison between two scalar values, but should also take into account the measurement uncertainty. In fact, neglecting measurement uncertainty could lead to decisions that might be dramatically wrong. The problem of decision making in the presence of measurement uncertainty is very often neglected, or approached in a probabilistic way. This paper proposes a new, more general approach, based on the theory of evidence

  • Symbolic Computation for Evaluation of Measurement Uncertainty

    In recent years, with the rapid development of symbolic computation, the integration of symbolic and numeric methods is increasingly applied in various applications. This paper proposed the use of symbolic computation for the evaluation of measurement uncertainty. The general method and procedure are discussed, and its great potential and powerful features for measurement uncertainty evaluation has been demonstrated through examples.

  • Quantifying the Measurement Uncertainty Using Bayesian Inference

    In this paper we describe the use of Bayesian inference for the evaluation of measurement uncertainty. The performance of the proposed approach is tested in a multivariate non linear measurement model in which the measurand is the ratio between two quantities: the first one being the sum of constant systematic effects and experimental indications, while the second one is referred to a measurement standard. By assuming that the information about the input quantities are in form of prior joint probability density functions and a series of direct measurement data are available by experiment, the Bayes' theorem is applied to evaluate the posterior expectation (estimate), the posterior standard uncertainty and the posterior coverage probability concerning the measurand Numerical results are reported to assess the validity of the proposed analysis.

  • Accounting Measurement Uncertainty in Fuzzy Inference

    Fuzzy inference systems are presently employed in the presence of uncertain models, or when deterministic models are too complex to be implemented. Input data to fuzzy inference systems are generally represented by crisp variables also when they represent experimental measurement results, thus disregarding measurement uncertainty. Since recent works have shown that measurement results can be effectively represented, together with their associated uncertainty, by fuzzy variables, this paper proposes a modified fuzzy inference system characterized by considering fuzzy variables as input data.



Standards related to Measurement Uncertainty

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IEEE Guide for the Measurement of Quasi-Static Magnetic and Electric Fields

This project describes measurement goals associated with characterizing quasi-static magnetic and electric fields, e.g. power frequency and other extremely low frequency fields, and available methods for accomplishing them. The guide should be used in conjunction with IEEE Std 1308-1994 (IEEE Recommended Practice for Instrumentation: Specifications for Magnetic Flux Density Meters - 10 Hz to 3 kHz), which defines terminology and ...


IEEE Guide for the Measurement of Quasi-Static Magnetic and Electric Fields

This project describes measurement goals associated with characterizing quasi-static magnetic and electric fields, e.g. power frequency and other extremely low frequency fields, and available methods for accomplishing them. The guide should be used in conjunction with IEEE Std 1308-1994 (IEEE Recommended Practice for Instrumentation: Specifications for Magnetic Flux Density Meters - 10 Hz to 3 kHz), which defines terminology and ...


IEEE Recommended Practice for Determining the Peak Spatial-Average Specific Absorption Rate (SAR) in the Human Head from Wireless Communications Devices: Measurement Techniques

To specify protocols for the measurement of the peak spatial-average specific absorption rate (SAR) in a simplified model of the head of users of hand-held radio transceivers used for personal wireless communications services and intended to be operated while held next to the ear. It applies to contemporary and future devices with the same or similar operational characteristics as contemporary ...


IEEE Recommended Practice for Determining the Peak Spatial-Average Specific Absorption Rate (SAR) in the Human Head from Wireless Communications Devices: Measurement Techniques - Amendment 1: CAD File for Human Head Model (SAM Phantom)

The scope of IEEE Std 1528 is to specify protocols for the measurement of the peak spatial-average SAR in a simplified model of the head of users of handheld radio transceivers used for personal wireless communications services and intended to be operated while held next to the ear. This amendment addresses ambiguity in the language of certain sections and provides ...


Recommended Practice for Measurements and Computation of Electric, Magnetic and Electromagnetic Fields With Respect to Human Exposure to Such Fields, 0 - 100 kHz

This recommended practice describes 1) methods for measuring external electric and magnetic fields and contact currents to which persons may be exposed, 2) instrument characteristics and the methods for calibrating such instruments, and 3) methods for computation and the measurement of the resulting fields and currents that are induced in bodies of humans exposed to these fields. This recommended practice ...



Jobs related to Measurement Uncertainty

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