Course detail

Intelligent Sensors

FIT-SENAcad. year: 2018/2019

Elementary sensors, types of sensors, their parameters. Conductance, electronic components and production of the sensors. Measurement of physical quantities. Acquirement, transmission, and processing of the sensor data. Definition of the intelligent sensors. Sensor networks - communication, centralised and decentralised system of the measurement chains, multiagent systems. Practical examples and future trends - nanosensors and biosensors.

Language of instruction

Czech

Number of ECTS credits

5

Mode of study

Not applicable.

Guarantor

prof. Ing. Martin Drahanský, Ph.D.

Department

Department of Intelligent Systems (UITS)

Learning outcomes of the course unit

The the acquainted knowledge belongs the measurement of physical quantities, how to convert physical quantities to electronic form using sensors and how to transmit, process, and use acquired data. Everything is oriented on intelligent sensors, sensor networks and smart homes.

Prerequisites

Valid schooling of Edict No. 50 (work with electrical devices) is needed.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Not applicable.

Assesment methods and criteria linked to learning outcomes

  1. Written midterm test
  2. Participation and active work in laboratories + exercises
  3. Project (minimum are 3 points)

Exam prerequisites:

Student must gain at least 15 points during the term. Minimum for the project are 3 points.

Course curriculum

Not applicable.

Work placements

Not applicable.

Aims

To inform about the measurement of the physical quantities. To learn how the physical quantities are converted to an electronic form using sensors. To learn how to transmit, process and use data.

Specification of controlled education, way of implementation and compensation for absences

In the case of missed HW laboratories it is possible to replace them until the laboratory is ready for further laboratory practice. Please inform the head of the laboratory or the course supervisor without any delay.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

Not applicable.

Recommended reading

Brignell, J., White, N.: Intelligent Sensor Systems (Sensors), Institute of Physics Publishing, 1994, ISBN 0750302976
Cai, Z.X.: Intelligent Control: Principles, Techniques and Applications, World Scientific, ICIA Vol. 7, 1997, p. 451, ISBN 981-02-2564-4.
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
Martinek, R.: Senzory v průmyslové praxi, BEN - technická literatura, 2004, ISBN 80-7300-114-4
Ristic, L.: Sensor Technology and Devices, Artech House Publishers, 1994, ISBN 0890065322
Švec, J.: Příručka automatizační a výpočetní techniky, SNTL, 1975
Yamasaki, H.: Intelligent Sensors, Elsevier, 1996, p. 298, ISBN 0-444-89515-9.

Classification of course in study plans

  • Programme IT-MSC-2 Master's

    branch MBI , 0 year of study, winter semester, elective
    branch MSK , 1 year of study, winter semester, compulsory-optional
    branch MMM , 0 year of study, winter semester, elective
    branch MBS , 0 year of study, winter semester, compulsory-optional
    branch MPV , 0 year of study, winter semester, compulsory-optional
    branch MIS , 0 year of study, winter semester, elective
    branch MIN , 0 year of study, winter semester, compulsory-optional
    branch MGM , 0 year of study, winter semester, elective

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

prof. Ing. Martin Drahanský, Ph.D.

Syllabus

  1. Introduction - sensors, types of sensors, their parameters. Microelectronic and microelectromechanic systems.
  2. Electrical conductibility in different materials and components for the sensor production (semi-conductors, diodes, transistors, ...), 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 magnetic quantities).
  4. Basic sensing principles (function and physical principles) - how do the sensors work?
  5. Sensor data acquirement. Basic principles of the acquirement and transmission of the data (signals and buses).
  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. Sensor 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).

Fundamentals seminar

4 hod., compulsory

Teacher / Lecturer

Ing. Lukáš Semerád, Ph.D.
Mona Heidari, Ph.D.
Ing. Martin Sakin
Ing. Michal Dvořák, Ph.D.
Ing. Tomáš Goldmann, Ph.D.
Ing. Jan Tinka

Syllabus

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

Laboratory exercise

4 hod., compulsory

Teacher / Lecturer

Mona Heidari, Ph.D.
Ing. Jan Tinka
Ing. Lukáš Semerád, Ph.D.
Ing. Michal Dvořák, Ph.D.
Ing. Tomáš Goldmann, Ph.D.
Ing. Martin Sakin

Syllabus

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

Project

18 hod., compulsory

Teacher / Lecturer

Ing. Jan Tinka
Ing. Lukáš Semerád, Ph.D.
Ing. Michal Dvořák, Ph.D.
Mona Heidari, Ph.D.
Ing. Tomáš Goldmann, Ph.D.
Ing. Martin Sakin

Syllabus

  1. Processing of a project from the selected part of the course.