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4 produkter
4 produkter
E-bok
PDF, Engelska, 20232 035 kr
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This book introduces the concepts at the basis of dynamic measuring systems: vocabulary, modelling, calibration, measurement data analysis, uncertainty evaluation. It also provides the mathematical foundations for signal processing, stochastic processes and control theory, necessary for the analysis of dynamic measurements. Concepts and practical approaches for dynamic calibration and dynamic measurement are introduced to the readership through concrete examples ranging from mechanical quantities and medical ultrasound to the Internet of Things (IoT).
E-bok
Engelska, 20232 017 kr
Läs direkt efter köp
This book introduces the concepts at the basis of dynamic measuring systems: vocabulary, modelling, calibration, measurement data analysis, uncertainty evaluation. It also provides the mathematical foundations for signal processing, stochastic processes and control theory, necessary for the analysis of dynamic measurements. Concepts and practical approaches for dynamic calibration and dynamic measurement are introduced to the readership through concrete examples ranging from mechanical quantities and medical ultrasound to the Internet of Things (IoT).
Del 89 - Series on Advances in Mathematics for Applied Sciences
Advanced Mathematical And Computational Tools In Metrology And Testing Xi
Inbunden, Engelska, 2018
2 229 kr
Skickas inom 3-6 vardagar
This volume contains original, refereed contributions by researchers from institutions and laboratories across the world that are involved in metrology and testing. They were adapted from presentations made at the eleventh edition of the Advanced Mathematical and Computational Tools in Metrology and Testing conference held at the University of Strathclyde, Glasgow, in September 2017, organized by IMEKO Technical Committee 21, the National Physical Laboratory, UK, and the University of Strathclyde. The papers present new modeling approaches, algorithms and computational methods for analyzing data from metrology systems and for evaluation of the measurement uncertainty, and describe their applications in a wide range of measurement areas.This volume is useful to all researchers, engineers and practitioners who need to characterize the capabilities of measurement systems and evaluate measurement data. Through the papers written by experts working in leading institutions, it covers the latest computational approaches and describes applications to current measurement challenges in engineering, environment and life sciences.
Del 94 - Series on Advances in Mathematics for Applied Sciences
Advanced Mathematical And Computational Tools In Metrology And Testing Xiii
Inbunden, Engelska, 2025
1 846 kr
Skickas inom 3-6 vardagar
This volume contains original, refereed contributions by researchers from national metrology institutes, universities and laboratories across the world involved in metrology and testing. The volume has been produced by the International Measurement Confederation (IMEKO) Technical Committee 21, Mathematical Tools for Measurements, in association with IMEKO Technical Committee 6, Digitalisation, and the European Network for Mathematics and Statistics for Metrology, following presentations made at the Advanced Mathematical and Computational Tools in Metrology online conference, hosted by the Institute of Metrology of Bosnia and Herzegovina, Sarajevo, in September 2023. The volume covers the application of novel mathematical and statistical modelling techniques and data analysis and machine learning approaches to metrology and measurement science, uncertainty quantification, and knowledge representation and reasoning to enable the digitalization of metrological services.This volume is of interest to all researchers, data scientists, engineers and practitioners who need to characterize the capabilities of measurement systems, evaluate measurement data, quantify uncertainties and make inferences and decisions based on models and data. It will also be of interest to those working in the quality infrastructure concerned with the reliability, transparency, trustworthiness and reproducibility of data, data analytics, machine learning and AI, in engineering, physical, environmental and the life sciences.