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RFID Technology and Sensor Systems

Code: 104552 ECTS Credits: 6
2024/2025
Degree Type Year
2500001 Management of Smart and Sustainable Cities OT 3

Contact

Name:
Jordi Bonache Albacete
Email:
jordi.bonache@uab.cat

Teachers

Raúl Aragonés Ortíz
Ferran Paredes Marco

Teaching groups languages

You can view this information at the end of this document.


Prerequisites

It is advisable to have taken the following subjects:

- Fundamentals of Electronics

- Instrumentation and Sensors

- Digitization and Microcontrollers


Objectives and Contextualisation

The overall goal of the subject is to provide the basic knowledge and techniques that allow the student to enter the Internet of Things (IoT) sector and its applications in smart city management.The subject covers different technologies, such as RFID, NFC, intelligent sensing, positioning systems, sensor networks, IoT dashboards, etc.The subject will be carried out from an eminently practical approach and oriented to the application of each one of these technologies.


Competences

  • Critically analyse work carried out and demonstrate a desire to improve.
  • Design platforms of management, integration of public and government services applying technologies and systems of sensorization, acquisition, processing and communication of data.
  • Generate innovative and competitive proposals in professional activity.
  • Identify and use different sources, models and data bases of information generated by urban activity, as well as their principles of operation, access policies and standards.
  • Solve problems of urban or regional management on a basic level for the implementation of processes for decision making.
  • Students must be capable of applying their knowledge to their work or vocation in a professional way and they should have building arguments and problem resolution skills within their area of study.
  • Students must be capable of collecting and interpreting relevant data (usually within their area of study) in order to make statements that reflect social, scientific or ethical relevant issues.
  • Students must be capable of communicating information, ideas, problems and solutions to both specialised and non-specialised audiences.

Learning Outcomes

  1. Assess the capabilities of existing radio-frequency identification technologies so as to integrate these into applications of use to the public.
  2. Combine information sensed/captured with information from the medium already processed in databases.
  3. Critically analyse work carried out and demonstrate a desire to improve.
  4. Generate innovative and competitive proposals in professional activity.
  5. Identify examples of the application of digital sensors in smart and sustainable cities.
  6. Recognise information on the general environment required for decision making.
  7. Students must be capable of applying their knowledge to their work or vocation in a professional way and they should have building arguments and problem resolution skills within their area of study.
  8. Students must be capable of collecting and interpreting relevant data (usually within their area of study) in order to make statements that reflect social, scientific or ethical relevant issues.
  9. Students must be capable of communicating information, ideas, problems and solutions to both specialised and non-specialised audiences.
  10. Use geolocation as a tool to add value to the information captured from the environment.

Content

Short-range technologies: NFC, LF-RFID, HF-RFID

Long-range technologies: UHF-RFID, MW-RFID

Differences between active and passive technologies and applications (Integration of citizen cards, traffic management, mail and logistics management, etc.)

Analog and Digital sensors and embedded systems in digital sensing.

Positioning systems.Position and range sensors.Units of inertial measurement.

Introduction to DSPs and processor ESP32 D32 R1.

Sound and image.Voice recognition.Digital cameras.

Sensors for building and digitization in urban space.

MQTT and NODE-RED for IoT Dasboards.


Activities and Methodology

Title Hours ECTS Learning Outcomes
Type: Directed      
Laboratory sessions 12 0.48 1, 2, 5, 6, 7, 8, 9, 10
Master classes 26 1.04 1, 2, 4, 5, 6, 7, 10
Problems seminars 12 0.48 1, 2, 3, 4, 5, 6, 7, 8, 10
Type: Supervised      
Tutorials outside of class hours 7.5 0.3 1, 2, 5, 8, 9, 10
Type: Autonomous      
Laboratory sessions preparation 12 0.48 1, 2, 3, 4, 5, 7, 8, 9, 10
Solve problems at home 15 0.6 1, 5, 6, 7
Study at home 25 1 1, 2, 3, 4, 5, 6, 7, 8, 10

Directed activities:

Master CLasses: The teacher will explain the topics using the projection cannon and blackboard.

Problem seminars: The teacher will perform, or in some cases the students themselves, example problems in small groups of students.

Laboratory sessions: Prior to the practice session, the student must prepare it and after it must submit a report.
  Note: - The teaching materials of the subject will be available in the Virtual Campus of the UAB
-The preferred form of communication between teachers and students will be e-mail



Supervised activities: tutorials outside of class hours.

Autonomous activities:

Study at home

Solving class problems prior to completing them.

Preparation of Laboratory sessions.

Annotation: Within the schedule set by the centre or degree programme, 15 minutes of one class will be reserved for students to evaluate their lecturers and their courses or modules through questionnaires.


Assessment

Continous Assessment Activities

Title Weighting Hours ECTS Learning Outcomes
1st project delivery 37.5 15 0.6 1, 3, 4, 6, 7, 8, 9
2nd project delivery 37.5 15 0.6 2, 3, 4, 5, 6, 7, 8, 9, 10
Delivery of Lab reports 25 10.5 0.42 1, 2, 3, 4, 5, 6, 7, 8, 9, 10

The evaluation will be based on the submission of two projects (completed individually) with a weight of 37.5% each and the results of the laboratory practice reports (completed in groups) with a weight of 25%.

The projects will be averaged between them and if the average result is higher than 4 they will average with the practices.

In the event of not passing the course, the project component can be retaken by resubmitting the failed assignments. To participate in the retake, one must have previously been assessed in activities that account for at least 2/3 of the final grade for the course.

If the course is not passed, the final grade will correspond to the grade obtained in the projects.

Failure to attend any of the lab sessions or not having a grade in the projects will mean that the student will be declared non-assessable.
 
Granting an honorary enrollment grade is the decision of the faculty responsible for the subject. UAB regulations state that MHs can only be awarded to students who have obtained a final grade equal to or higher than 9.00. Up to 5% MH of the total number of students enrolled can be awarded.
 
Without prejudice to other disciplinary measures deemed appropriate, irregularities committed by the student that may lead to a variation in the grade of an assessment act will be graded with a zero. So, copying, plagiarism, cheating, copying, and so on. in any of the assessment activities it will involve suspending it with a zero. Assessment activities qualified in this way and by this procedure will not be recoverable. If it is necessary to pass any of these assessment activities to pass the course, this course will be suspended directly, without the opportunity to retake it in the same course.
 
In case of repeating thesubject, the same evaluation system will be followed as the rest of the students.
 
The Single Assessment System is not included in this course.
 
 

Bibliography

1. V.D. Hunt, A. Puglia and M. Puglia. RFID. A guide to Radio Frequency Identification. John Wiley & Sons,New Jersey 2007.2. H. Lehpamer. RFID design principles. Artech House, Norwood 2008.3. D. M. Dobkin. The RF in RFID. Passive UHF RFID in Practice. Elsevier 2008.

2. H. Lehpamer. RFID design principles. Artech House, Norwood 2008.

3. D. M. Dobkin. The RF in RFID. Passive UHF RFID in Practice. Elsevier 2008.

4. Fortino, Giancarlo, Liotta, Antonio. Internet of Things. Technology, Communications and Computing. Springer. ISSN: 2199-1073


Software

- Tinkercad - For editing Arduino projects.

- Arduino Ide for programming ESP32 R32 D1 processors.

- NODE-RED and Mosquitto.


Language list

Name Group Language Semester Turn
(PAUL) Classroom practices 611 Catalan second semester afternoon
(PLAB) Practical laboratories 611 Catalan second semester morning-mixed
(PLAB) Practical laboratories 612 Catalan second semester morning-mixed
(TE) Theory 61 Catalan second semester afternoon