Course details
Intelligent Sensors
Guarantor
Language of instruction
Completion
Time span
- 26 hrs lectures
- 4 hrs exercises
- 4 hrs laboratories
- 18 hrs projects
Department
Study literature
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- Cai, Z.X.: Intelligent Control: Principles, Techniques and Applications, World Scientific, ICIA Vol. 7, 1997, p. 451, ISBN 981-02-2564-4.
- Martinek, R.: Senzory v průmyslové praxi, BEN - technická literatura, 2004, ISBN 80-7300-114-4.
- Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, AIP Press, 2003, ISBN 0387007504.
- Frank, R.: Understanding Smart Sensors, Artech House Publishers, 2000, ISBN 0890063117.
- Yamasaki, H.: Intelligent Sensors, Elsevier, 1996, p. 298, ISBN 0-444-89515-9.
Fundamental literature
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- Martinek, R.: Senzory v průmyslové praxi, BEN - technická literatura, 2004, ISBN 80-7300-114-4
- Švec, J.: Příručka automatizační a výpočetní techniky, SNTL, 1975
- Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, AIP Press, 2003, ISBN 0387007504
- Frank, R.: Understanding Smart Sensors, Artech House Publishers, 2000, ISBN 0890063117
- Brignell, J., White, N.: Intelligent Sensor Systems (Sensors), Institute of Physics Publishing, 1994, ISBN 0750302976
- Ristic, L.: Sensor Technology and Devices, Artech House Publishers, 1994, ISBN 0890065322
Syllabus of lectures
- Introduction - sensors, types of sensors, their parameters. Microelektronic and microelectromechanic systems.
- Electrical conductibility in different materials and components for the sensor production (semi-conductors, diodes, trsnsistors, ...), brief introduction to the sensor production.
- Selected types of the measurement of the physical quantities (position estimation, measurement of the pressure, flow, temperature, optical, electrical, chemical, and magnetical quantities).
- Basic sensing principles (function and physical principles) - how do the sensors work?
- Sensor data acquirement. Basic principles of the acquirement and transmition of the data (signals and busses).
- Data processing. Pattern recognition and classification.
- Intelligent sensors I. Definitions, examples.
- Intelligent sensors II. Complex sensors, biometric sensors (fingerprint scanners, retina scanners, etc.).
- Soft-Computing (fuzzy logic, neural networks, agents), use in the intelligent sensors.
- Sonsor networks I. Centralised and decentralised system of the measurement chains. Communication (IEEE 1415), distributed systems.
- Sensor networks II. Sensor networks as a multiagent systems.
- Practical examples of the intelligent sensors.
- Future of the intelligent sensors, trends (nanosensors, biosensors).
Syllabus of numerical exercises
- Theoretical calculations - measurement, errors.
- Theoretical calculations - selected measurement processes.
Syllabus of laboratory exercises
- Work with elementary sensors. Practical examples.
- Work with complex sensors. Practical examples.
Course inclusion in study plans