AMCTM 2014 St.Petersburg

AMCTM 2014, 09.09.-12.09.2014, St.Petersburg
Franco Pavese - Istituto Nazionale di Ricerca Metrologica (INRIM)  Content:      Prologue     Truth: the gnoseological dilemma 140910_01_pavese_inrim.pdf

Fostering Diversity (of thinking) in Measurement Science

Franco Pavese - Istituto Nazionale di Ricerca Metrologica (INRIM)

Content:
  • Prologue
  • Truth: the gnoseological dilemma
Application of Nonparametric Goodness-of-Fit Tests: Problems and Solution  Boris Yu. Lemeshko - Novosibirsk State Technical University 140910_02_lemeshko_uni_novosibirsk.pdf

Application of Nonparametric Goodness-of-Fit Tests: Problems and Solution

Boris Yu. Lemeshko - Novosibirsk State Technical University

Content:
  1. Introduction
  2. Nonparametric goodness-of-fit tests for simple hypotheses
  3. Comparative analysis of the tests power
  4. The distribution of statistics for testing composite hypotheses
  5. An interactive method to study distributions of statistics
  6. Conclusion
Ilya Kuselman - National Physical Laboratory of Israel  Content:      The project team     Atypical test results     Out-of-specification (OOS) test results     Errare humanum est - to err is human     Classification of errors and their mapping     Knowledge-based mistakes     House of security (HOS) approach     Likelihood of an error scenario     Quality system priorities     Applications: the score values (%)     Robustness of the scores     Models of an expert behavior     Conclusions 140910_03_kuselman_npl_israel.pdf

Classification, modeling and quantification of human errors in chemical analysis

Ilya Kuselman - National Physical Laboratory of Israel

Content:
  • The project team
  • Atypical test results
  • Out-of-specification (OOS) test results
  • Errare humanum est - to err is human
  • Classification of errors and their mapping
  • Knowledge-based mistakes
  • House of security (HOS) approach
  • Likelihood of an error scenario
  • Quality system priorities
  • Applications: the score values (%)
  • Robustness of the scores
  • Models of an expert behavior
  • Conclusions
Acceleration of the Bayesian inverse problem in scatterometry: Surrogate methods for the forward model  S. Heidenreich - Physikalisch-Technische Bundesanstalt (PTB) 140910_04_heidenreich_ptb.pdf

Acceleration of the Bayesian inverse problem in scatterometry: Surrogate methods for the forward model


Sebastian Heidenreich - Physikalisch-Technische Bundesanstalt (PTB)

Content:
  • Scatterometry
  • Goal
  • Overview
  • Bayesian approach
  • Surrogate model
  • Surrogate
  • Case study priors
  • Case study Forward modeling
  • Results
  • Summary
Nicolas Fischer - Laboratoire national de métrologie et d’essais (LNE)  Content:      Introduction     Gaussian Process     Kriging     Application of the kriging to the thermal-cycler     Conclusion 140910_05_fischer_lne.pdf

Modeling spatial and temporal measurements using kriging methods

Nicolas Fischer - Laboratoire national de métrologie et d’essais (LNE)

Content:
  1. Introduction
  2. Gaussian Process
  3. Kriging
  4. Application of the kriging to the thermal-cycler
  5. Conclusion
V. A. GRANOVSKII - CENTRAL SCIENTIFIC RESEARCH INSTITUTE St. PETERSBURG  CONTENTS:      INTRODUCTION     DYNAMIC MEASUREMENTS (DM)     RESULTS OF SOLVING TYPICAL PROBLEMS OF DM     DIRECT PROBLEM OF DM     THE FIRST INVERSE PROBLEM OF DM     THE SECOND INVERSE PROBLEM OF DM     OVERAL EVALUATION OF RESULTS     CONCLUSIONS 140910_06_granowski_uni_st_petersburg.pdf

MODELS and METHODS of DYNAMIC MEASUREMENTS: RESULTS PRESENTED by ST. PETERSBURG METROLOGISTS

V. A. GRANOVSKII - CENTRAL SCIENTIFIC RESEARCH INSTITUTE St. PETERSBURG

CONTENTS:
  • INTRODUCTION
  • DYNAMIC MEASUREMENTS (DM)
  • RESULTS OF SOLVING TYPICAL PROBLEMS OF DM
  • DIRECT PROBLEM OF DM
  • THE FIRST INVERSE PROBLEM OF DM
  • THE SECOND INVERSE PROBLEM OF DM
  • OVERAL EVALUATION OF RESULTS
  • CONCLUSIONS
Reinhard Viertl - Vienna University of Technology  Content:      Fuzzy Data     Fuzzy a-priori Knowledge     Fuzzy Probabilities     Soft Computing 140910_07_viertl_uni_wien.pdf

Fuzzy Information and Statistics

Reinhard Viertl - Vienna University of Technology

Content:
  • Fuzzy Data
  • Fuzzy a-priori Knowledge
  • Fuzzy Probabilities
  • Soft Computing
Vladik Kreinovich - University of Texas  Content:      Overview     Data Processing and Indirect Measurements     Estimating Uncertainty of the Results of Indirect Measurements: A Problem     Uncertainty of Direct Measurements: Need for Overall Error Bounds (i.e., Interval Uncertainty)     Need for Interval Uncertainty (cont-d)     Interval Computations: A Problem     Alternative Approach: Maximum Entropy     Limitations of Maximum Entropy Approach     Linearization is Usually Possible 140910_08_kreinovich_uni_texas.pdf

Interval Computations and Interval-Related Statistical Techniques: Tools for Estimating Uncertainty of the Results of Data Processing and Indirect Measurements

Vladik Kreinovich - University of Texas

Content:
  1. Overview
  2. Data Processing and Indirect Measurements
  3. Estimating Uncertainty of the Results of Indirect Measurements: A Problem
  4. Uncertainty of Direct Measurements: Need for Overall Error Bounds (i.e., Interval Uncertainty)
  5. Need for Interval Uncertainty (cont-d)
  6. Interval Computations: A Problem
  7. Alternative Approach: Maximum Entropy
  8. Limitations of Maximum Entropy Approach
  9. Linearization is Usually Possible
A.L. Shestakov - South Ural State University (NRU)  Content:      Dynamic measurements, certain test measurement items         Survey of metrics: field, pressure, acceleration, temperature         Dynamic measurement systems         Dynamic measurements based on automatic control theory approach     Optimal measurements theory     Оptimal measurements with measurement unit response included     Оptimal measurements with measurement unit response and resonance included     Оptimal measurements with “noise” included 140910_09_shestakov_nur.pdf

Dynamic measurement based on control theory approach

A.L. Shestakov - South Ural State University (NRU)

Content:
  1. Dynamic measurements, certain test measurement items
    1. Survey of metrics: field, pressure, acceleration, temperature
    2. Dynamic measurement systems
    3. Dynamic measurements based on automatic control theory approach
  2. Optimal measurements theory
  3. Оptimal measurements with measurement unit response included
  4. Оptimal measurements with measurement unit response and resonance included
  5. Оptimal measurements with “noise” included
Type A evaluation of uncertainty when the sample size is not known in advance  Robin Willink 140910_10_willink.pdf

Type A evaluation of uncertainty when the sample size is not known in advance

Robin Willink 

Content:
  • Analysis from a frequentist point of view.
  • Conclusions.
  • Some analysis relating to the `objective Bayesian' approach.
Wolfgang Wöger - Physikalisch-Technische Bundesanstalt (PTB)  Content:      Evaluation of information about and from measurement in the Guide based on probability theory     Existing Guide (GUM) for practical reasons avoids as far as possible introduction of basis of its recommendations     Existing Guide uses two incompatible understandings of probability: limiting relative frequency (conventional statistics) 140910_11_woeger_ptb_braunschweig.pdf

On the Revision of the Guide to the Expression of Uncertainty in Measurement

Wolfgang Wöger - Physikalisch-Technische Bundesanstalt (PTB)

Content:
  • Evaluation of information about and from measurement in the Guide based on probability theory
  • Existing Guide (GUM) for practical reasons avoids as far as possible introduction of basis of its recommendations
  • Existing Guide uses two incompatible understandings of probability: limiting relative frequency (conventional statistics)
Dealing with prior knowledge about the measurand  Ignacio Lira - Ponticia Universidad Catolica de Chile 140910_12_lira_uni_chile.pdf

Dealing with prior knowledge about the measurand

Ignacio Lira - Ponti cia Universidad Catolica de Chile

Content:
  • Available information
  • Propagating distributions
  • Example
  • Results
  • The pooling method
  • The updating method
  • Alternative
  • Summary
HOMOGENEITY TESTING OF QUALITATIVE AND SEMI-QUANTITATIVE PROPERTIES  Emil Bashkansky - ORT Braude College of Engineering 140911_01_bashkansky_uni_israel.pdf

HOMOGENEITY TESTING OF QUALITATIVE AND SEMI-QUANTITATIVE PROPERTIES

Emil Bashkansky - ORT Braude College of Engineering

Content:
  • Definitions (JCGM 200) and examples
  • PRESENTING PARTITIONED NOMINAL DATA BY KxM CONTINGENCY TABLE
  • HOMOGENEITY TEST FOR NOMINAL PROPERTY
  • PRESENTING PARTITIONED ORDINAL DATA BY KxM CONTINGENCY TABLE
  • CUMULATIVE FREQUENCIES FOR ORDINAL DATA
  • HOMOGENEITY TEST FOR ORDINAL PROPERTY
  • Case 1: Test results obtained by different laboratories
  • Case 2: Test results obtained by different laboratories
STABLE UNITS OF ACCOUNTFOR ECONOMIC VALUE CORRECT MEASURING  Nikolai V. Hovanov - Saint-Petersburg State Polytechnic University 140911_02_hovanov_uni_st_petersburg.pdf

STABLE UNITS OF ACCOUNTFOR ECONOMIC VALUE CORRECT MEASURING

Nikolai V. Hovanov - Saint-Petersburg State Polytechnic University

Content:
  1. Simple Exchange Model –SIMEX
  2. Extended SIMEX –EXSIMEX
  3. Monetary indices of value-in-exchange
  4. Measuring of monetary indices’ volatility
  5. Composite unit of account with minimal volatility
  6. SAU: construction on the base of historic data
  7. SAU: construction on the base of non-numeric data
Fusion of individual preference orderings in an ordinal semi-democratic decision-making framework  Domenico Maisano - Politechnico Di Torino 140911_03_maisano_uni_turin.pdf

Fusion of individual preference orderings in an ordinal semi-democratic decision-making framework

Domenico Maisano - Politechnico Di Torino

Content:
  • A general decision-making problem
  • A variety of real-life contexts
  • Agents’ importance
  • Yager’s Algorithm (YA)
  • From preference orderings to vectors
  • Reading sequence
  • Gradual construction of the fused ordering
  • Consistency table
EVALUATION AND MEASUREMENT OF PREFERENCES AT THE NOT GRADED SCALE  Irina A.Nikolaeva - Kurgan State University 140911_04_nikolaeva_uni_kurgan.pdf

EVALUATION AND MEASUREMENT OF PREFERENCES AT THE NOT GRADED SCALE

Irina A.Nikolaeva - Kurgan State University

Content:
  1. Introduction
  2. A single vertical scale
  3. Derivative implicit scales
  4. Value assessment style
  5. Measurement of intervals
Fuzzy intervals as foundation of metrological support for computations with inaccurate data  Konstantin Semenov - Saint-Petersburg State Polytechnic University 140911_05_semenov_uni_st_petersburg.pdf

Fuzzy intervals as foundation of metrological support for computations with inaccurate data

Konstantin Semenov - Saint-Petersburg State Polytechnic University

Content:
  • Introduction: measurement uncertainty
  • Measurements results processing
  • What mathematical framework to use?
  • Fuzzy intervals - I
  • Fuzzy intervals - II
  • Fuzzy intervals - III
  • Conclusion
  • Application example
Konstantin Vorontsov - University of Moscow  Contents:      Informational analysis of ECG signals         Theory of Information Function of the Heart         ECG preprocessing stage         Machine Learning stage     Experimental verification of the theory         Statistical tests         Sensitivity, Specificity & AUC         Cross-validation experiments     From discrete to fuzzy encoding         Model of measurements         Parameters optimization         Experimental results 140911_07_vorontsov_uni_moskau.pdf

Information function of the heart: Discrete and fuzzy encoding of the ECG-signal for multidisease diagnostic system

Konstantin Vorontsov - University of Moscow

Contents:
  1. Informational analysis of ECG signals
    • Theory of Information Function of the Heart
    • ECG preprocessing stage
    • Machine Learning stage
  2. Experimental verification of the theory
    • Statistical tests
    • Sensitivity, Specificity & AUC
    • Cross-validation experiments
  3. From discrete to fuzzy encoding
    • Model of measurements
    • Parameters optimization
    • Experimental results
Model of Emotion Measurements in Acoustic Signals and Its Analysis  K. Sapozhnikova, Y. Baksheeva, R. Taymanov - VNIIM - D.I. Mendeleyev Scientific and Research Institute for Metrology 140911_08_sapozhnikova_vniim.pdf

Model of Emotion Measurements in Acoustic Signals and Its Analysis

K. Sapozhnikova, Y. Baksheeva, R. Taymanov - VNIIM - D.I. Mendeleyev Scientific and Research Institute for Metrology

Content:
  1. Introduction
  2. Development of emotional perception of acoustic signals
  3. Some results of measuring the emotions in classical and ethnic music
  4. The simplest model of measuring the emotions
  5. Some results of experimental analysis of biolinguistic signals
  6. Conclusion
Overview of EMRP Joint Research Project NEW06 “Traceability for computationally-intensive metrology” [TraCIM]  Ian Smith - NPL 140911_11_smith_npl.pdf

Overview of EMRP Joint Research Project NEW06 “Traceability for computationally-intensive metrology” [TraCIM]

Ian Smith - National Physical Laboratory

Main aims of presentation:
  • Provide broad overview of the JRP
    • Need for traceability of metrology software
    •  JRP-Consortium
    •  What will the JRP deliver?
  • Provide context for presentations from JRP-Partners
  • within this session
Elsa Batista - Portuguese Institute for Quality – Metrology  Content:      Introduction     Applications     EMRP-MeDD     IPQ gravimetric system     Measurement model     Uncertainty components     Results     Process validation using MCM     Conclusion 140911_09_batista_piq.pdf

Uncertainty calculation in gravimetric microflow measurements

Elsa Batista - Portuguese Institute for Quality – Metrology

Content:
  • Introduction
  • Applications
  • EMRP-MeDD
  • IPQ gravimetric system
  • Measurement model
  • Uncertainty components
  • Results
  • Process validation using MCM
  • Conclusion
Elena Кulyabina - Russian Research institute of Metrological Service  Contents:      Complex organic compounds     Beginning     The results of the identification and determination of complex organic compounds was obtained with deviсes     Method for identification and quantification of complex organic compounds     Definition of identification     The limits of applicability of the theory     Size of differences between values     Example     Conclusion 140911_10_kulyabina_vniims.pdf

Determining the reliability of identification of complex organic compounds using HPLC and base chromatographic and spectral data

Elena Кulyabina - Russian Research institute of Metrological Service

Contents:
  • Complex organic compounds
  • Beginning
  • The results of the identification and determination of complex organic compounds was obtained with deviсes
  • Method for identification and quantification of complex organic compounds
  • Definition of identification
  • The limits of applicability of the theory
  • Size of differences between values
  • Example
  • Conclusion
Klaus Wendt - Physikalisch-Technische Bundesanstalt (PTB)  Outline:      Introduction     TraCIM – the concept     Verification of CMM evaluation software     Outlook 140911_12_wendt_ptb_braunschweig.pdf

Validation of CMM evaluation software using TraCIM

Klaus Wendt - Physikalisch-Technische Bundesanstalt (PTB)

Outline:
  • Introduction
  • TraCIM – the concept
  • Verification of CMM evaluation software
  • Outlook
Dietrich Hofmann - SpectroNet  Content:      Miniaturization of Computers     Consumerization of Computers     Potential Smart Measurement Applications     Mobile Smart Dimensional Measurements     Mobile Smart Color Measurements     Mobile Smart Spectral Measurements     Mobile Smart Education and Training     Mobile Smart Virtualization and Remotization     Concluding Remarks 140911_13_hofmann_spectronet.pdf

Hardware apps and software apps for mobile smart photonic shape, color and spectral measurement systems

Dietrich Hofmann - SpectroNet

Content:
  1. Miniaturization of Computers
  2. Consumerization of Computers
  3. Potential Smart Measurement Applications
  4. Mobile Smart Dimensional Measurements
  5. Mobile Smart Color Measurements
  6. Mobile Smart Spectral Measurements
  7. Mobile Smart Education and Training
  8. Mobile Smart Virtualization and Remotization
  9. Concluding Remarks
Frank Keller - Physikalisch-Technische Bundesanstalt (PTB)  Content:      The TraCIM Project     The TraCIM System     Gaussian test     Geometric Features     Test values     Example: Cone     Reference Pairs     Software test 140911_14_keller_ptb_braunschweig.pdf

Estimation of Test Uncertainty for TraCIM Reference Pairs

Frank Keller - Physikalisch-Technische Bundesanstalt (PTB)

Content:
  • The TraCIM Project
  • The TraCIM System
  • Gaussian test
  • Geometric Features
  • Test values
  • Example: Cone
  • Reference Pairs
  • Software test
Gertjan Kok - National Physical Laboratory, UK  Talk overview:      Software validation     Generating reference data sets     Numerical accuracy     Condition number and numerical sensitivity     Performance metrics     Examples 140911_15_kok_npl.pdf

Approaches for assigning numerical uncertainty to reference data sets for software validation

Gertjan Kok - National Physical Laboratory, UK

Talk overview:
  • Software validation
  • Generating reference data sets
  • Numerical accuracy
  • Condition number and numerical sensitivity
  • Performance metrics
  • Examples
Optimising Measurement Processes Using Automated Planning  S. Parkinson - University of Huddersfield 140911_16_longsta_uni_huddersfield.pdf

Optimising Measurement Processes Using Automated Planning

S. Parkinson - University of Huddersfield

Content:
  • Introduction
  • Automated Planning as a Solution
  • Encoding Knowledge
  • Benefits to Metrology
  • Example: Machine Tool Calibration
  • Example: Domain Modelling
  • Example: Temporal Optimisation
  • Example: Uncertainty Optimisation
  • Example: Multi-objective
  • Example: Conclusion
EllipseFit4HC: A MATLAB algorithm for demodulation and uncertainty evaluation of the quadrature interferometer signals  Viktor Witkovsky - Slovak Academy of Sciences 140911_17_witkovsky_vniim.pdf

EllipseFit4HC: A MATLAB algorithm for demodulation and uncertainty evaluation of the quadrature interferometer signals

Viktor Witkovsky - Slovak Academy of Sciences

Content:
  • Introduction
  • Approximate methods
  • Example
  • Conclusions
What can we learn from the GUM of 1993/5?  Robin Willink 140911_18_willink.pdf

What can we learn from the GUM of 1993/5?

Robin Willink

Content:
  1. Measurement: estimation or declaration?
    • The meaning of `uncertainty'
  2. Report of the Working Group, 1980
    • American Society of Mechanical Engineers
  3. Report of 1980
    • An in
    • uence of the GUM?
    • Issues of notation
    • Paradigm shifts and residual confusion
 

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