Data Acquisition 1st Edition by Michele Vadursi ISBN 9533071931 9789533071930
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ISBN 10: 9533071931
ISBN 13: 9789533071930
Author: Michele Vadursi
The “Data Acquisition” (1st Edition) refers to a field of study that focuses on the methods and systems used to collect, measure, and record data from physical phenomena or processes. In many scientific and engineering fields, data acquisition systems (DAS) are essential for gathering information from sensors or instruments and transferring it into a form that can be processed and analyzed.
Data Acquisition 1st Table of contents:
Chapter 1: Introduction to Data Acquisition
1.1 Overview of Data Acquisition Systems
1.2 The Importance of Data Acquisition in Modern Engineering
1.3 Basic Components of Data Acquisition Systems
1.4 Applications of Data Acquisition in Various Fields
1.5 Data Acquisition System Architecture
Chapter 2: Sensors and Measurement Devices
2.1 Types of Sensors and Transducers
2.2 Sensor Characteristics and Specifications
2.3 Sensor Selection Criteria
2.4 Signal Types: Analog vs. Digital Signals
2.5 Calibration of Sensors
Chapter 3: Signal Conditioning
3.1 Introduction to Signal Conditioning
3.2 Amplification and Filtering
3.3 Analog-to-Digital Conversion
3.4 Noise Reduction and Signal Integrity
3.5 Signal Conditioning Circuits and Systems
Chapter 4: Data Acquisition Hardware
4.1 Overview of Data Acquisition Devices
4.2 Analog-to-Digital Converters (ADC)
4.3 Multiplexers and Switches
4.4 Data Acquisition Cards and Modules
4.5 Wireless Data Acquisition Systems
Chapter 5: Data Acquisition Software
5.1 Introduction to Data Acquisition Software
5.2 Interface Between Hardware and Software
5.3 Data Logging and Real-Time Monitoring
5.4 Data Analysis Tools and Techniques
5.5 Visualization of Acquired Data
Chapter 6: Data Storage and Management
6.1 Data Storage Systems for Large-Scale Acquisition
6.2 Databases for Storing Acquired Data
6.3 Data Retrieval and Analysis
6.4 Cloud-Based Data Storage Solutions
6.5 Data Security and Integrity
Chapter 7: Calibration and Validation of Data Acquisition Systems
7.1 Principles of Calibration
7.2 Techniques for Sensor Calibration
7.3 Validating Data Accuracy and Precision
7.4 Periodic Calibration and Maintenance
7.5 Traceability and Standardization
Chapter 8: Real-Time Data Acquisition Systems
8.1 Real-Time Data Processing Concepts
8.2 Latency and Throughput Considerations
8.3 Hardware and Software Requirements for Real-Time Systems
8.4 Examples of Real-Time Data Acquisition Applications
8.5 Performance Metrics for Real-Time Systems
Chapter 9: Advanced Topics in Data Acquisition
9.1 Wireless Data Acquisition Systems
9.2 Remote Data Acquisition Systems
9.3 Internet of Things (IoT) and Data Acquisition
9.4 Machine Learning in Data Acquisition
9.5 Future Trends and Emerging Technologies
Chapter 10: Case Studies and Practical Applications
10.1 Industrial Automation and Control Systems
10.2 Environmental Monitoring Systems
10.3 Biomedical Data Acquisition Systems
10.4 Automotive Testing and Data Acquisition
10.5 Research and Laboratory Data Acquisition Systems
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Tags: Michele Vadursi, Data Acquisition