Author: Simona Ranieri

ELECTRONICS OF IOT AND EMBEDDED SYSTEMS

Simona Ranieri 12 CFU, 2nd year, a.a. 2022-23, a.a. 2023-24, a.a. 2024-25, a.a. 2025-26, ALL blocks, Block A, Block B, Block C, Block C1, Block C2, Block D, Block E, I sem, Subjects ,
ELECTRONICS OF IOT AND EMBEDDED SYSTEMS
2 YEAR 1 semester 12 CFU
Patrick LONGHI (3cfu)
Giancarlo ORENGO (3cfu)
Gian Carlo CARDARILLI (4cfu)
Luca DI NUNZIO (2cfu)		 since A.Y. 2019-20
M-5519 – ELECTRONICS OF IOT (6cfu)
M-5520 – DESIGN OF EMBEDDED SYSTEMS FOR MECHATRONICS (6cfu)
Code: 8039795
SSD: ING-INF/01

EDUCATIONAL OBJECTIVES:
The objectives of the course are:
1) to provide the tools to carry out a radio link assessment in a real application context.
2) learn the fundamental parameters of the antennas used in IoT applications
3) provide the tools to interpret the electrical diagram of the RF front end of a typical trans receiver.

KNOWLEDGE AND UNDERSTANDING:
Provide the fundamental tools to understand the most advanced and updated content from publications, magazines, forums, blogs, etc., to always be updated on the state of the art.

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING:
Practical radio link budget, electronic noise evaluation on receiver behavior, installation effects of the antennas, understanding of key parameters of commonly used antennas in the targeted scenario, analysis of an RF transceiver block diagram

AUTONOMY OF JUDGMENT:
With the enormous amount of information that is available today to developers of IoT applications, the course seeks to develop the ability of the student to select the highest quality and most validated content.

COMMUNICATION SKILLS:
The final test is based on an oral exam in which the student illustrates a part of the module

LEARNING ABILITY:
The course aims to develop in the student the ability to independently learn new and constantly updated content because the knowledge acquired today soon becomes obsolete.

SYLLABUS:

(Longhi):

Introduction to radiating elements and their key parameters.
Ideal and practical link budget.
The effect of noise in electronic receivers, figures of merit and mathematical modelling. Receiver G/T.
Practical aspects of IoT RF systems
RFID
Radiating elements key parameters, gain, directivity, HPBW, nulls, radiation pattern, polarization, and input impedance. Some practical cases: the mono/di-pole family, microstrip antennas, parabolic reflector, wearables
Introduction to RF transceiver systems and key-components (switches, HPA, LNA, mixers, frequency generators).

(G.Orengo):

Summary of Digital Electronics: digital encoding of information, binary (fixed and floating point), hexadecimal and ASCII; operators and main logic circuits, registers and memories, programmable devices. Prototyping boards for IoT (Arduino, Rasberry), Systems on Chip (SoC), architecture of a microcontroller, description of the Arduino Uno board. Programming languages ​​(assembly, compiled, interpreted), structure of an Arduino sketch (libraries, setups, loops, functions, interrupts), programming elements in C (variables, math and logical operations, cycles, conditional statements). Use of digital and analog I/O ports (A/D conversion, PWM output). Synchronous and asynchronous serial communication modes, wired (USB) and wireless with Bluetooth, RF and WiFi modules. Remote control of electronic modules (sensors, dc stepper and servo motors, LED/LCD displays etc.) from portable devices (Windows, IoS), through applications developed in Processing and Python, and mobile (Android), through Apps developed with the MIT App Inventor platform. Internet protocols for device local/remote control through WiFi modules connected as access points/clients to web platforms or public/private cloud servers controlled by laptops and/or mobile devices.

(G.Cardarilli):

– Introduction to the Internet of Things (IoT) and embedded systems
– Wireless and mobile communications
– The Sensors
– Low power processing
– IoT and machine learning applications
– Future developments in the field of IoT and embedded systems

 

CONTROL OF MECHANICAL SYSTEMS

Simona Ranieri 2nd year, 9 CFU, a.a. 2022-23, a.a. 2023-24, a.a. 2024-25, ALL blocks, Block A, Block B, Block C, Block C1, Block C2, Block D, Block E, I sem, Subjects ,
CONTROL OF MECHANICAL SYSTEMS
2 YEAR
 1 semester 9 CFU
Riccardo MARINO Since 2019-20
Code: 8039823
SSD: ING-INF/04

LEARNING OUTCOMES:

Ability to understand scientific papers on the control of mechanical systems

KNOWLEDGE AND UNDERSTANDING:

Knowledge of dynamic modeling of mechanical systems. Knowledge of basic feedback control techniques for single input single output systems and of decoupling techniques for multi input multi output nonlinear systems

APPLYING KNOWLEDGE AND UNDERSTANDING:

Ability to simulate using Matlab Simulink complex controlled mechanical systems

MAKING JUDGEMENTS:

Ability to evaluate stability, robustness, and performance of a control system

COMMUNICATION SKILLS: Ability to present and discuss an autonomous design project

LEARNING SKILLS: Ability to fully understand a scientific paper on the control of mechanical systems

SYLLABUS:

BASIC CONTROL TOOLS
Bounded- input bounded- output linear systems. Pole placement theorem for controllable and observable linear systems. Luenberger observers for observable systems. Design of dynamic compensators for linear systems. Integral feedback control to reject constant disturbances. PID control. System inverses for minimum phase linear systems. The combination of feedback and feedforward control actions.
ADVANCED CONTROL TOOLS
Linear approximations of nonlinear control systems about operating conditions. The definition of region of attraction for an operating condition. Output feedback compensators with integral actions to control nonlinear systems about a given operating condition. Liapunov matrix equations to determine quadratic Liapunov functions and assess the region of attraction. The definition of the sensitivity transfer function and its properties. The gang of four: sensitivity, complementary sensitivity, load sensitivity and noise sensitivity functions. How to determine the robustness of a control loop using the gang of four functions. Bode’s integral formula and the limitations imposed by unstable open loop poles. Youla parametrization to design stable compensation. Kalman filters, Riccati equations and robust control design.

CONTROL DESIGN FOR MULTIVARIABLE NONLINEAR SYSTEMS
Relative degree for a single input single output nonlinear system. State feedback control design for input-output linearization. State feedback linearization when the relative degree is equal to the state space dimension. The definition of nonlinear inverse systems. Relative degrees or decoupling indices for multivariable (multi-input, multi-output) nonlinear systems. The definition of the decoupling matrix. State feedback control design for input-output linearization when the decoupling matrix is full rank using the Penrose pseudoinverse. State feedback linearization when the sum of relative degrees is equal to the state space dimension and the decoupling matrix is full rank.

CASE STUDIES OF NONLINEAR MECHANICAL CONTROL SYSTEMS
Control of bycicles, robots, vehicles and aircrafts

Digital Electronics (block B)

Simona Ranieri 1st year, 6 CFU, a.a. 2022-23, a.a. 2023-24, a.a. 2024-25, Block B, I sem, Subjects ,
Digital Electronics (block B)
1 YEAR I semester  6 CFU
Marco Re
 since A.Y. 2021-25
No Marco Re A.Y. 2025-26
Didatticaweb

Code: 80300061
SSD: ING-INF/01
(by Engineering Sciences)

PREREQUISITES

CIRCUIT THEORY, PHYSICS, MATHEMATICAL ANALYSIS

 

FORMATIVE OBJECTIVES

EDUCATIONAL OBJECTIVES:
The objective of this course is to provide students with the knowledge for the analysis and synthesis of the electronic systems presented during the course and the means for their resolution. The course has both theoretical and practical character, it is therefore important that the student is able to carry out concrete problems, such as those presented during the exercises.

KNOWLEDGE AND UNDERSTANDING:
Students will learn the analysis techniques used in the analysis of electronic systems in different operating regimes, and acquire the necessary knowledge to carry out circuit simulations through different software.

ABILITY TO APPLY KNOWLEDGE AND UNDERSTANDING: students will be able to evaluate which of the existing methods has to be used to analyze and synthesize the system under consideration with the aim of simplifying the resolution of the problem. Finally, they will be able to apply the software presented to perform the analysis of electronic systems in different operating regimes.

COMMUNICATION SKILLS:
The verification methods implemented will lead the students to 1) know how to quickly choose the methodology to be adopted for solving the proposed problems, and 2) be able to illustrate in a synthetic and analytical way the topics covered by the course using equations and schemes .

LEARNING SKILLS and AUTONOMY OF JUDGMENT:
With the didactic material presented during the course (both written and video) and the list of bibliographic references proposed by the teachers, students have the opportunity to autonomously expand their knowledge on the subject by integrating topics not directly addressed in the course.

SYLLABUS

  Specification of Combinational Systems: definitions and specification level, data representation and coding, binary specification of combinational systems.

     Combinational Integrated Circuits – Characteristics and Capabilities: representation of binary variables, structure and operation of CMOS gates, propagation delays, voltage variations and noise margins, power dissipation and delay-power product, Buses and three-state drivers, circuit characterization of a CMOS-family.

     Description and Analysis of Gate Networks: definition, description and characteristics, sets of gates.

     Design of Combinational Systems – two-level gate networks: minimal two-level networks, Karnaugh maps, minimization of sum of products and product of sums, design of multiple-output two-level gate networks, two-level NAND-NAND and NOR-NOR networks, limitations of two-level networks, programmable modules: PLA and PLA.

     Design of Combinational Systems – Multilevel Gates Networks:

Transformations, alternative implementations, networks with XOR and XNOR gates, and networks with two-input multiplexers.

     Specification of Sequential Systems: synchronous sequential systems, representation of the state transition and output functions, time behavior and finite state machines, finite memory sequential systems, controllers, equivalent sequential systems and minimization of the number of states, binary specification of sequential systems, specification of different types of sequential systems.

     Sequential Networks: canonical form, high-level and binary implementations, gated latch and D flip-flop, timing characteristics, analysis of canonical sequential networks, design of canonical sequential networks, other flip-flop modules: SR, JK, T, analysis of networks with flip-flops, design using special state assignments.

Students from “Engineering Sciences” at Tor Vergata

Simona Ranieri 2022, enrollment, NEWS
To apply for the Master of Science in Mechatronics Engineering, there are two application windows, exclusively used by students who do not need a student visa and whose Bachelor’s Degree*** is awarded by an Italian Institution.
II additional window: in February

(*You can also apply if you must graduate in the October session.)

READ CAREFULLY THE CALL FOR APPLICATION PUBLISHED IN HOW TO APPLY

CALL for DiscoLAZIO 2022/2023

Simona Ranieri 2022, call, old news
CALL for DiscoLAZIO 2022/2023

Disclaimer: This guide has been created by Tor Vergata with the purpose of supporting first-year international students in filling up DiscoLazio application because modules are written in Italian only by the Regional Body. Students will find a screenshot of the form they have to fill out with the one-to-one fields translation below. Tor Vergata is not responsible for any mistake made by the students who are pleased to carefully read the Call and related documents before starting the application.

Bando Lazio DiSCo 2022

deadline 20/07/2022

Student Welcome 2022

Simona Ranieri 2022, NEWS, Welcome Office
Student Welcome 2022

A traditional event dedicated to welcoming and orientation activities for all new students arriving at Tor Vergata University of Rome.

We are very happy to announce that the Students Welcome 2022 will be held in presence!

The Students Welcome is a traditional event taking place in the first weeks of the new academic year  (5 – 23 September 2022) dedicated to welcoming and orientation activities for all new students arriving at Tor Vergata University of Rome.

https://web.uniroma2.it/en/contenuto/students_welcome_2022

Fundamentals of Mechanisms of Systems (block A) (since 2022-23)

Simona Ranieri 1st year, 6 CFU, a.a. 2022-23, a.a. 2023-24, a.a. 2024-25, Block A, I sem, Subjects ,
Fundamentals of Mechanisms of Systems (block A) (since 2022-23)
1 YEAR
 1 semester 6 CFU
Marco Ceccarelli A.Y. 2021-22 to 2024-25

A.Y. 2025-26 new name: 80300216 MECHANICS OF SYSTEMS FOR SIMULATIONS
Code: 803000062
SSD: ING-IND-13
(by Engineering Sciences)

OBJECTIVES

LEARNING OUTCOMES: The course aims to teach students the knowledge and tools that are needed to address the issues that are related to the identification, modeling, analysis, and design of multi-body planar systems in English language and terminology

KNOWLEDGE AND UNDERSTANDING: modeling and procedures to recognize the structure and characteristics of mechanisms and machines

APPLYING KNOWLEDGE AND UNDERSTANDING: acquisition of analysis procedures for the understanding of kinematic and dynamic characteristics of mechanisms and machines

MAKING JUDGEMENTS: possibility of judging the functionality of mechanisms and machines with their own qualitative and quantitative assessments

COMMUNICATION SKILLS: learning technical terminology and procedures for presenting the performance of mechanisms

LEARNING SKILLS: learning technical terminology and procedures for the presentation of the performance of mechanisms

PREREQUISITES: knowledge of basic mechanics of rigid bodies and computation skills

SYLLABUS

Structure and classification of planar mechanical systems, kinematic modeling, mobility analysis, graphical approaches of kinematics analysis, kinematic analysis with computer-oriented algorithms; dynamics and statics modeling, graphical approaches of dynamics analysis, dynamic analysis with computer-oriented algorithms, performance evaluation; elements of mechanical transmissions.

BOOKS:

Lopez-Cajùn C., Ceccarelli M., Mecanismos, Trillas, Città del Messico
Shigley J.E., Pennock G.R., Uicker J.J., “Theory of Machines and Mechanisms”, McGraw-Hill, New York
Handnotes and papers by the teachers

Machine Design (block A)

Simona Ranieri 2nd year, 6 CFU, a.a. 2022-23, Block A, II semester, Subjects ,
Machine Design (block A)
2 YEAR II semester  6 CFU
Luciano CANTONE since A.Y. 2018-19
(by Engineering Sciences)
Code: 80300065
SSD:ING-IND/14

LEARNING OUTCOMES: Designing mechanical components considering the need to save weight, material and energy while respecting safety, to promote the usefulness and social impact of the designed product.
KNOWLEDGE AND UNDERSTANDING: The design of mechanical systems, in particular, basic knowledge of the design methodologies of important machine components.
APPLYING KNOWLEDGE AND UNDERSTANDING: Know how to recognise, distinguish, and use the main techniques and tools to design mechanical components.
MAKING JUDGEMENTS: Students must assume the missing data of a problem and be able to independently formulate basic hypotheses (such as that on safety coefficients) based on the operational and functional context of the system/component they have to design.
COMMUNICATION SKILLS: Transfer information, ideas and solutions to specialist and non-specialist interlocutors through intensive use of English terminology.
LEARNING SKILLS: Students, by learning the basics of design, acquire the tools to learn the necessary design techniques of systems/components not directly addressed during the course.

VERIFICATION CRITERIA

Solution of the assignments given during the teaching. The written exam consists of 4 exercises, similar to those solved during the lessons. After passing the written test, there is an oral examination with two questions. The student’s evaluation is related to the understanding and mastery of the principles and methods of design for both written and oral exams.
The oral exam questions aim to ascertain the student’s knowledge and reasoning skills in connecting the different topics covered within the course.
The final vote of the exam is expressed out of thirty and follows the next graduation system:
Not pass, essential deficiencies in the knowledge and understanding of the topics; limited capacity for analysis and synthesis, frequent generalizations and limited critical and judgmental capacity, the topics are set out inconsistently and with inappropriate language
18-21, the student has acquired the basic concepts of the discipline and has an analytical capacity that emerges only with the teacher’s help. The way of speaking and the language used are, on the whole, correct.
22-25, the student has acquired the basic concepts of the discipline discreetly, knows how to orient himself or herself among the various topics covered and has an autonomous analysis capacity that knows how to express with the correct language.
26-29, the student has a well-structured knowledge base. He/She can independently rework the knowledge acquired in the context of the choice of conventional and unconventional materials according to the application; the way of speaking and the technical language are correct.
30 and 30 cum laude, the student has a complete and in-depth knowledge base. The cultural references are rich and up-to-date, expressed with brilliance and properties of technical language.

The midterm tests are optional and allow you to avoid the oral examination with an overall mark of at least 18/30.

Syllabus

Consolidation of basic knowledge to put the student in the right conditions to face a generic machine design problem: Mechanical Engineering design in Broad, Perspective, Load Analysis, Materials, Static Body Stresses, Elastic strain, Deflection, Stability (Eulerian buckling), Vibrations (beam Eigen-modes), Failure Theories,Safety Factors, Reliability, High cycles Fatigue, Low cycles Fatigue, Surface Damage, Contact and impact problems. During the course, several design activities will be demonstrated by exercises and by real life applications.

TEXTS

Machine Component Design, 7th Edition International Student Version Robert C. Juvinall – (University of Michigan), Kurt M. Marshek (University of Texas at Austin)
Teacher’s slides