Faculdade de Ciências e Tecnologia

Sensorial Systems

Code

7477

Academic unit

Faculdade de Ciências e Tecnologia

Department

Departamento de Engenharia Electrotécnica

Credits

6.0

Teacher in charge

José Manuel Matos Ribeiro da Fonseca

Weekly hours

4

Total hours

60

Teaching language

Português

Objectives

To endow the pupils with knowledge on characteristics and applications of sensors of diverse types and to deepen their knowledge about image processing.

Prerequisites

Basic knowledge in Electric Circuits Theory, Eletronics and Programming languages, namely, C or C# (C sharp) are recommended.

Subject matter

Sensors technology: principles of functioning, acquisition of information, models, analysis of cases (sensors of presence and proximity, force and contact, temperature).

Ultrasounds Sensors: characteristics, processing of low-level sensorial information, feature extraction.

Image processing: from pixels to features, operations over images, segmentation, object detection, feature extraction, measures, analysis of applications.

Bibliography

Interfacing sensors to the IBM PC, Willis J. Tompkins, John G. Webster, Prentice Hall

Multi-sensor fusion - fundamentals and applications with software, Richard Brooks, S. Iyengar. Prentice Hall 

Digital Image Processing. Rafael Gonzalez, Paul Wintz. Addison-Wesley

Image Analysis: principles and practice, pp. 36 a 36 e 106 a 117. Joyce-Loebl

Digital Image Processing and Computer Vision, pp. 130 a 173. Robert Schalkoff

Fuzzy Algorithms, pp. 85 a 93, Zheru Chi, Hong Yan, Tuan Pham. Worls Scientific, Fuzzy Clustering

Computer Graphics - Principles and Practice, pp. 550 a 555. Foley, van DAM, Feiner, Hughes. Addison-Wesley

Teaching method

Theoretical classes for presentation of the basic concepts and practical classes for the development of small exercises that explore the underlying concepts.

The practical classes will be based on guidelines previously provided to guide the students in the preparation of the practical exercises.

Evaluation method

Evaluation method:

  • 60 % Theoretical component
      • 0,75 * GTT + 0,25 GTM
      •  GTT = Average grade of 2 tests or Exam

      •  GTM = Moodle Theoretical grade

        • average grade of 9 moodle tests of a total of 10
        • Moodle tests are to be done outsitde classes
      • Conditions: GTT >= 9.5 e GTM >= 9.5

  • 40 % Pratical component
    • 80% - 1st Project
    • 20% - 2nd Project
Formula:

     Final Grade = TG * 0,6 + ( PPG1 *0,8 + PPG2 * 0,2 ) * 0,4  

Observations:

  • It is considered a penalty of one value per day of delay in delivery of practical project.
     
  • It is necessary to have at least 9,5 values on each evaluation component (pratical and theoretical).
  

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