Course details

Intelligent Sensors

SEN Acad. year 2010/2011 Winter semester 5 credits

Current academic year

Guarantor

Drahanský Martin, prof. Ing., Ph.D.

Language of instruction

Czech

Completion

Credit+Examination

Time span

  • 26 hrs lectures
  • 4 hrs exercises
  • 4 hrs laboratories
  • 18 hrs projects

Department

Department of Intelligent Systems (UITS)

Study literature

    1. Cai, Z.X.: Intelligent Control: Principles, Techniques and Applications, World Scientific, ICIA Vol. 7, 1997, p. 451, ISBN 981-02-2564-4.
    2. Martinek, R.: Senzory v průmyslové praxi, BEN - technická literatura, 2004, ISBN 80-7300-114-4.
    3. Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, AIP Press, 2003, ISBN 0387007504.
    4. Frank, R.: Understanding Smart Sensors, Artech House Publishers, 2000, ISBN 0890063117.
    5. Yamasaki, H.: Intelligent Sensors, Elsevier, 1996, p. 298, ISBN 0-444-89515-9.

Fundamental literature

    1. Martinek, R.: Senzory v průmyslové praxi, BEN - technická literatura, 2004, ISBN 80-7300-114-4
    2. Švec, J.: Příručka automatizační a výpočetní techniky, SNTL, 1975
    3. Fraden, J.: Handbook of Modern Sensors: Physics, Designs, and Applications, AIP Press, 2003, ISBN 0387007504
    4. Frank, R.: Understanding Smart Sensors, Artech House Publishers, 2000, ISBN 0890063117
    5. Brignell, J., White, N.: Intelligent Sensor Systems (Sensors), Institute of Physics Publishing, 1994, ISBN 0750302976
    6. Ristic, L.: Sensor Technology and Devices, Artech House Publishers, 1994, ISBN 0890065322

Syllabus of lectures

  1. Introduction - sensors, types of sensors, their parameters. Microelektronic and microelectromechanic systems.
  2. Electrical conductibility in different materials and components for the sensor production (semi-conductors, diodes, trsnsistors, ...), brief introduction to the sensor production.
  3. Selected types of the measurement of the physical quantities (position estimation, measurement of the pressure, flow, temperature, optical, electrical, chemical, and magnetical quantities).
  4. Basic sensing principles (function and physical principles) - how do the sensors work?
  5. Sensor data acquirement. Basic principles of the acquirement and transmition of the data (signals and busses).
  6. Data processing. Pattern recognition and classification.
  7. Intelligent sensors I. Definitions, examples.
  8. Intelligent sensors II. Complex sensors, biometric sensors (fingerprint scanners, retina scanners, etc.).
  9. Soft-Computing (fuzzy logic, neural networks, agents), use in the intelligent sensors.
  10. Sonsor networks I. Centralised and decentralised system of the measurement chains. Communication (IEEE 1415), distributed systems.
  11. Sensor networks II. Sensor networks as a multiagent systems.
  12. Practical examples of the intelligent sensors.
  13. Future of the intelligent sensors, trends (nanosensors, biosensors).

Syllabus of numerical exercises

  1. Theoretical calculations - measurement, errors.
  2. Theoretical calculations - selected measurement processes.

Syllabus of laboratory exercises

  1. Work with elementary sensors. Practical examples.
  2. Work with complex sensors. Practical examples.

Course inclusion in study plans

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