bullet  Advances in Measurements and Instrumentation: Reviews, Vol. 2

    (Open Access Book)


  Title: Advances in Measurements and Instrumentation: Reviews, Vol. 2

  Editor: Sergey Y. Yurish

  Publisher: International Frequency Sensor Association (IFSA) Publishing, S. L.

  Formats: hardcover (print book) and printable pdf Acrobat (e-book), 254 pages

  Price: 95.00 EUR for print book in hardcover

  Delivery time for print book: 7-17 days. Please contact us for priority (5-9 days), ground (3-8 days) and express (2-3 days) delivery options by e-mail

  Pubdate: 15 April 2021

  ISBN: 978-84-09-29267-7

  e-ISBN: 978-84-09-29266-0


  Creative Commons License




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 Advances in Measurements and Instrumentstion: Reviews', Vol. 2 



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 Book Description


'Advances in Measurements and Instrumentation: Reviews', Vol. 2 Book Series contains 9 chapters written by 21 authors from 7 countries: Brazil, China, France, India, Mexico, Russia and Spain. But it is not a set of reviews. As usually, each chapter contains the extended state-of-the-art followed by new, unpublished before, obtained results. This volume  is covering some aspects related to metrology, measurements of physical and chemical quantities, calibration, sensor instrumentation and networks.







1. Theoretical Concepts for Describing  a Replication-levels-based Uncertainty Analysis Approach

1.1. Introduction
1.2. On the Basic Definitions of Physical Experimentalism
1.3. On the Concept of Measurement Chain
1.4. On the Concept of Uncertainty: Nature  of Experiments and Error Sources
1.5. On the Concept of Replication Levels
1.6. On the Mathematical Basis of Uncertainty Analysis
1.7. Concluding Remarks


2. Effective Filtering of Weak Signals: Essential Solution for Their Measurement and Instrumentation

2.1. Introduction
2.2. Extraction of Some Theoretical Principles  of Non-linear Filtering of Weak Signals
2.2.1. Chaotic Modelling and Filtering
2.2.2. Generalization of SKE for the Multimoment Case
2.3. One Moment EKF and Generalized  (Two-moment) EKF
2.3.1. One Moment EKF
2.3.2. Two-moment EKF
2.3.3. Stochastic Differential Equation of the First Order (SDE-1)
2.3.4. Computational Complexity
2.4. Simulation Results and Discussion


3. Methodology for Estimating Metrological Parameters During Flow Meter Calibration and its Use for Flowrate Measurement

3.1. Basic Concepts
3.2. Calibration of Flowmeters
3.3. Mass of Fluid Flowing Through the Meter
3.3.1. Calibration of Non-automatic Weighing Scales
3.3.2. Calibration of the Reservoir Load Cell
3.3.3. Gravimetric Measurement Standards
3.4. Flowmeter Calibration with a Gravimetric Reference
3.4.1. Totalization of the Indicated Flowrate
3.4.2. Calibration of Ultrasonic Flowmeter (UFM) Minimum Number of Runs to Estimate Repeatability with Confidence Stability of Fluid Flow Influence of Fluid Viscosity on Ultrasonic Meter (UFM) Calibration
3.5. Flowmeter Calibration with a Non-gravimetric Reference
3.5.1. Calibration of a CLAMP ON type Ultrasonic Flowmeter
3.5.2. Calibration of a Turbine
3.6. Selecting the Reference Meter
3.7. Interpolation between Certificate Calibration Flowrate Values
3.8. Conclusions


4. Leak Detection Measurement for Mixing Flow Process in a Steam Pipeline

4.1. Introduction
4.2. Leak Detection &Water Quality
4.2.1. Leak Detection Methods Secondary Containment with Interstitial Monitoring Vapor Monitoring Groundwater Monitoring Statistical Inventory Reconciliation
4.3. Experimental
4.4. Methodology of Measurement
4.4.1. Data Acquisition System
4.4.2. Software Neural Network Training
4.5. Results and Discussions
4.6. Conclusions


5. Embedded System Based Total Harmonic Distortion Measurement for Unified Power Quality Conditioner

5.1. Introduction
5.2. Measurement Methods
5.2.1. System Description
5.2.2. Simulation of UPQC
5.2.3. Simulation Result
5.2.4. PI Controller Output Response of THD
5.3. Hardware Design Method
5.4. Experimental Results
5.5. Conclusion

6. CO2 Laser Photoacoustic Gas Analyzers for the Measurements in Plant Biology and Medicine

6.1. Introduction
6.2. Breath Sampling Procedure
6.3. Photoacoustic Instrumentation for the Analysis  of Biogenic Gases
6.3.1. Description of the Construction and Specifications  of the Used Instruments
6.3.2. Method of the Laser Photoacoustic Gas Analysis
6.3.3. Description of Gaseous Samples Preparation Preparation of Gaseous Samples of Exhaled Air Preparation of Gaseous Samples from Annual Rings
of Conifer Discs
6.4. Gas Samples Analysis for Diagnosis of Disease
6.4.1. Comparison of Gas Samples and Possibility  of Diagnosis
6.4.2. Investigation of the Carbon Dioxide in Exhaled Air
6.5. Investigation of Residual Gas in the Wood  of Annual Rings of Trees
6.6. Conclusions


7. Autonomous Ultrasonic Microsystem  for Prevention and Diagnosis in Cancer Pathologies: Larynx and Breast Abnormalities

7.1. Introduction
7.2. Mechanical Model of the Multilayered Tissues
7.2.1. Layer Characterization Using a Matrix Approach
7.3. Larynx Abnormalities Evaluation with Passive Ultrasonic Resonator
7.3.1. Physical Concept
7.3.2. Low Frequency Micro Resonator Design Numerical Approach Mechanical Approach Experimental Device
7.3.3. In-vivo Diseases Detection
7.3.4. Discuss
7.4. An Ultrasonic Bra for an Autonomous Soft Diagnosis of Breast Tissues
7.4.1. Methodology Quantification of Backscattered Signal Intensity
7.4.2. Model Validation
7.4.3. Results: Spatial Speckle Detection and Delimitation
7.4.4. Knowledge


8. Advanced Technology in Channel Measurement for Massive MIMO Systems of 5G Wireless Communication

8.1. Introduction
8.2. Framework of Channel Measurement
8.2.1. Impulse Sounding
8.2.2. Pseudo-random Sequence Sounding
8.2.3. Multi-carrier Signal Sounding
8.3. Massive MIMO Measurement System
8.3.1. Antenna and RF On-and-off Link
8.3.2. Detection Signal Design
8.3.3. Synchronization Based on Fiber-optical Remote Unit
8.3.4. Data Storage Based on Packet Hopping
8.4. Calibration of Measurement System
8.5. In-field Measurements
8.5.1. Measurement Campaigns
8.5.2. Signal Model
8.5.3. Massive MIMO Channel Characteristics
8.6. Conclusions


9. Path Planning for Mobile Data Collection in Wireless Sensor Networks: A Survey

9.1. Introduction
9.2. Current and Future System Architecture
9.3. Performance Criteria of Mobile WSNs
9.4. Typical Mobile Data Collection Schemes
9.5. Future Directions
9.6. Conclusion


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