Hours:
16 hours (4 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Largo L. Lazzarino 1, 56122 Pisa, Edificio A, piano 6

Short Abstract:
Introduction of basic concepts of critical embedded systems (CES) likes those used in cars, planes, and satellites. Analysis of the main requirements put on CES from performance guarantees to safety. Analysis of the main approaches for hardware design to fulfill those requirements with emphasis on the work done as part of the European Processor Initiative. Analysis of the main approaches for software design with emphasis on the software architecture of the Apollo autonomous driving software.

Course Contents in brief:

1. Introduction to CRTES (2h)
2. Hardware Design for CRTES: A deterministic Approach (2h)
3. Hardware Design for CRTES: A probabilistic Approach (2h)
4. Hardware Design for CRTES: A COTS based approach (2h)
5. Hardware Design for CRTES: The European Processor Initiative (1h)
6. Software Design for CRTES: Introduction to Deep Learning Software (2h)
7. Software Design for CRTES: Timing and Safety Related Aspects (2h)
8. Software Design for CRTES: Apollo Autonomous Driving Software (2h)
9. H2020 European Processor Initiative global roadmap (1h)

Schedule:

Hours:
20 hours (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Largo L. Lazzarino 1, 56122 Pisa, Edificio A, piano 6

Short Abstract:
Modern industry and social life has started a quick process of automatization, equipping (wearable) devices with sensors, actuators and artificial intelligences. Any device is supposed to work according to expected functionalities, but sometimes they generate unexpected behaviors due to changes of their environment, external events, age or failures.
In this course, we will discuss on how to find anomalies in IoT Systems (networks of intelligent devices) by exploiting the huge amount of data their sensors produce, by comparing different anomaly detection techniques up to neural networks and deep learning.

Course Contents in brief:

1. Find the unexpected: anomaly detection (4h)
   1. Classification
   2. Clustering
   3. Python for dummies
2. IoT Data Streams (4h)
   1. Definition
   2. Data cleaning and filtering
   3. Data transformation
   4. Using python for data manipulation
3. A gentle introduction to Deep Learning (8h)
   1. Machine/Deep Learning
   2. Why Neural Networks?
   3. Gradient Descent and Back Propagation
   4. Recurrent Neural Networks
   5. Autoencoders
   6. Variational Autoencoders
   7. Pytorch Implementations
4. Finding anomalies in IoT Data Streams with Neural Networks (4)
   1. Supervised approach
   2. Unsupervised approach
   3. Pytorch solutions

Schedule:

1. Find the unexpected: anomaly detection - November 25, 14.30 - 18.30
2. IoT Data Streams - November 26, 14.30 - 18.30
3. A gentle introduction to Deep Learning (part 1) - November 27, 14.30 - 18.30
4. A gentle introduction to Deep Learning (part 2) - November 28, 14.30 - 18.30
5. Finding anomalies in IoT Data Streams with Neural Networks - November 29, 09.00 - 13.00

Hours:
16 hours (4 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
Cyber-Physical Systems (CPSs) are related to the integration of computing and communication capabilities into physical systems. Currently there are an important domain for research and innovation, including robotics; smart homes, buildings, and mobility solutions; medical implants; drones, and numerous others. CPSs are also the medium through which next-generation Artificial Intelligence and Machine Learning applications will be deployed, and are a growing source of big data.
An example of CPSs is the smart city model, which is growing around the prototype of an urban (physical) environment with a new generation of innovative services for transportation, energy distribution, healthcare, environmental monitoring, business, emergency response, and social activities developed in its digital twins. Smart cities are also an example of how CPSs must include people, which can’t be neglected in the loop of producing, collecting and consuming data, information and services.
Enabling the technology for such a setting requires a viewpoint of Smart Cities as system of cyber-physical and social systems (CPSSs) which are the result of the integration of several technologies to provide seamless services to end users. Such technologies enable the collection, storage, and processing of massive amount of data sensed from the environment and/or produced by citizens themselves, while promoting social interactions.
The vision of a smart city as a CPSS corresponds to a closed–loop system with data collection, processing, decision making and control and optimization actions. Otherwise, the result could be critical, sometimes harmful: as in the case of a “smart parking“ app that informs drivers about some available parking spaces; the result is that multiple drivers would converge to the few spaces, thus creating additional traffic congestion. There is a need for novel approaches in order to cope with CPSSs and with the increasing requests of citizens about reliable, secure and affordable services.
IoT technologies and mobile technologies are the foundation of cyber–physical systems: nowadays, they are applied in smart cities extensively. Smart cities as a system of integrated sensors, actuators, infrastructures and people in a whole call for novel integrated and holistic approaches considering both the component resources and their inter–relationships.

Course Contents in brief:

• Introduction to Cyber-Physical Social Systems: taxonomies and examples: a survey about definitions of CPSS, the main challenges will be provided.
• The management of services provided by CPS to people: Approaches and tools for managing SLAs of digital services in complex CPS ecosystems
• Architectures of CPSSs: From IoT to cloud computing through fog and edge computing with people in the loop: last advances
• The security management of CPSSs: Physical, cyber aspects and their mutual dependencies

Schedule:
potential dates: 2 sequential dates in the week from Jan 21st - Jan 24th

• Day1 – 9-13: Introduction to Cyber-Physical Social Systems; 14-18: The management of services provided by CPS to people
• Day2 – 9-13: Architectures of CPSSs; 14-18: The security management of CPSSs

Hours:
16 hours (4 credits)

Room:
From remote by using Microsoft Teams. The link will be sent in due time to all students who registered to the seminar.

To register to the course, click here

Short Abstract:
The course aim is to introduce the students to the analysis and design of entire systems able to provide EM energy wirelessly. Two different approaches will be presented: the first one is based on the reactive coupling between a transmitter and a receiver, by means of inductive or capacitive mechanism; the second one is based on radiative wireless power transfer and consists of active antennas at the transmitter side and rectenna (rectifying antennas) at the receiver side.
Different systems will be studied depending on the power level and on the operating frequency adopted for specific applications.
budget and how to select the proper WPT system, based on the application scenarios, to ensure the maximum system efficiency. The design of the following circuits, composing a WPT system will be studied:

• DC to RF converter, power generators
• Wireless links radiative and reactive
• RF to DC converter, rectifiers

Course Contents in brief:
DAY 1 - 20/07/2020: 10:00 - 13:00, 15:00 - 18:00

• Introduction to energy autonomous and battery-less RF systems (1 h)
• A circuit-level unified approach to characterize the power budget of a whole WPT system (1 h)
• The Rectenna (rectifying antenna) design (3 h)

DAY 2 - 21/07/2020: 10:00 - 13:00, 15:00 - 18:00

• The resonant inductive link (3 h)
• Electromagnetic/circuital co-design (2 h)

DAY 3 - 22/07/2020: 9:00 - 13:00

• A Near-field WPT system for “on-the-move” recharging (3 h)
• A Far-field WPT system for energy-autonomous UWB localization (3 h)
  

Schedule:

• DAY 1 - 20/07/2020: 10:00 - 13:00, 15:00 - 18:00
• DAY 2 - 21/07/2020: 10:00 - 13:00, 15:00 - 18:00
• DAY 3 - 22/07/2020: 9:00 - 13:00

Hours:
20 hours (5 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
In this short course students will get an introduction into the OpenAirInterface project, an open-source software defined radio implementation of 3GPP standards that allows users to setup a 3GPP LTE network (and soon a 5G network) using only off-the-shelf computing and software defined radio hardware. The course will also include some basics about LTE and 5G. Students will get hands-on experience in the lab sessions where they will learn how to setup an LTE network with the USRP B210 to establish a connection to a real phone. Further we will also setup an experiment with USRP N310 that will demonstrate some basic 5G NR functionalities. Each lab sessions will have some tasks defined that the students will have to solve in groups of 2-3.
Students should have a basic experience of wireless communications and software development under Linux. Some prior knowledge of 4G and 5G technologies are beneficial.

Course Contents in brief:

• Lecture: Introduction to OpenAirInterface
• Lab session: setting up a network
• Lecture: LTE physical layer
• Lab session: understanding and using the LTE unitary simulators
• Lecture: LTE Higher layers and procedures
• Lab session: Analyze the connection procedure and extract the RRC messages
• Lecture: 5G-NR: Architecture and Physical layer
• Lab session: 5G-NR unitary simulators and state of development

Schedule:

Monday, 30 Sept. – Thursday, 3rd Oct, 2019

• Monday, 30 Sept. 14:00-17:00
• Tuesday, 1 Oct. 9:00-12:00 14:00-17:00
• Wednesday, 2 Oct. 9:00-12:00 14:00-17:00
• Thursday, 3 Oct. 9:00-12:00 14:00-16:00

Hours:
15 hours (4 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
After a general introduction on nanosciences and nanotechnologies, the principles and new developments of atomic layer deposition (ALD) will be described.
The fundamental aspects as well as practical information will be presented in order to provide the basics to initiate an ALD process in the laboratory. A special attention will be drawn on the in situ and ex situ metrologies that are critical to develop well defined ALD processes. Applications of ALD to different fields will be also discussed, with special emphasis to the energy field. The use of ALD in the energy field will clearly highlight the interest of this tool to improve nanoscale devices.

Course Contents in brief:

• Introduction to nanoscience and nanotechnologies
• Atomic Layer Deposition – ALD - context, principle, metrology
• New developments of ALD
• ALD and energy applications
• ALD for solar fuel generation

Schedule:

• 15/04/2019: 9:30 - 12:30
• 16/04/2019: 9:30 - 12:30
• 17/04/2019: 9:30 - 12:30
• 18/04/2019: 9:30 - 12:30
• 19/04/2019: 9:30 - 12:30

Hours:
12 hours (3 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
Reconfigurable hardware enables to develop digital circuits and configure a FPGA device. The hardware itself is “reconfigurable” which means, that the circuit can be adapted, if for example a change is needed caused by a modification of the specification of a system. Modern architectures allow to modify the configuration of the chip even during run-time. This so called dynamic and partial reconfiguration opens several opportunities for run-time adaptive system. The course introduces reconfigurable hardware architectures and shows how to develop systems which have the capability to be run-time adaptive. Several applications will show the benefit of this methodology.

Course Contents in brief:

• Traditional processor architectures
• Hardware / Software Codesign
• Adaptive processor systems
• Run-time adaptation of systems

Schedule:

• Monday 13 May – 14.00 -18:00
• Tuesday 14 May – 09:00 – 13:00
• Wednesday 15 May – 09:00 – 13:00

Hours:
9 hours (2 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione (si veda sotto il dettaglio delle aule nei vari giorni)

Short Abstract:
The course will present the fundamental mathematical and engineering principles underlying the design and use of phased arrays and will present techniques for various techniques for processing the outputs of phased arrays. It will cover conventional and optimum techniques for array beamforming and will present theoretical, computational and real data analysis illustrating the practical performance of the methods presented. The course will also address the estimation of the direction of arrival of signals incident upon the array. Finally extension topics of STAP (Space Time Adaptive Processing) and MIMO (Multiple Input/Multiple Output) radar will be presented.

Course Contents in brief:

• Phased Array Overview
• Beamforming and Beam Patterns
• Implementation of Phased Arrays
• Random Processes and Cross-spectral Matrices
• Optimum Beamforming and Random Processes
• High Resolution Direction of Arrival Estimation
• Space-time Adaptive Processing (STAP)
• Radar and GPS Case Studies
• MIMO Radar

Schedule:

• 03/06/2019: 8:30 - 12:30, Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Largo L. Lazzarino 1, Pisa – piano 6

• 05/06/2019: 8:30 - 11:30, Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa – Ground Floor

• 07/06/2019: 8:30 - 11:30, Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa – Ground Floor

Hours:
16 hours (4 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
Internet of Everything (IoE) emerges on top of the relatively more known Internet of Thing (IoT) by merging to “things” also people, data and processes whereas “things” are intended to be sensors and actuators ready to be connected to the Internet. IoE unfolds a vision with greater technical complexity, societal impact and economic value which will be one of the fundamental driving forces for applied research during the next decade. In this context, electronic engineers are called to adopt new design paradigms to target the challenging specifications of almost energy autonomous sensing/actuating nodes. This course tries to provide a reference frame for current cutting-edge techniques in Analog-to-Digital converters design in mainstream CMOS technologies under the focus of IoE.

Course Contents in brief:

• Internet of Everything: concept, impact and smart systems
• Analog-to-Digital Converters: circuit primitives and basic building blocks
• Analog-To-Digital Converters: Delta-Sigma modulation
• Analog-To-Digital Converters: Successive Approximation Registers
• Analog-To-Digital Converters: Time-domain processing

Schedule:

• 6/5/2019 – 9.30-13.30
• 7/5/2019 – 9.30-13.30
• 8/5/2019 – 9.30-13.30
• 9/5/2019 – 9.30-13.30

Hours:
16 hours (4 credits)

Room:
Aula Riunioni del Dipartimento di Ingegneria dell’Informazione, Via G. Caruso 16, Pisa – Ground Floor

Short Abstract:
UHF RFID (also known as RAIN RFID, by the name of the industry alliance) is a wireless connectivity technology based on passive modulated backscatter. It can deliver tagged item's identity, location, and authenticity and has several advantages compared to barcodes and to other wireless technologies. RFID technology has significantly progressed over the last two decades and now extends beyond pure identification, encompassing sensing, networking, security, and localization capabilities. RFID consumer and business applications now range from supply chain and retail to healthcare and automotive. A solid knowledge of how RFID systems work (protocols, readers, propagation channel, tags, etc.) and associated tradeoffs is important for understanding and optimizing RFID system performance. In this course, we will cover the fundamentals of RFID tags, readers and systems, including examples, experimental measurements, and simple models that can be used for system design and analysis. We will also cover the history of RFID, the present state of the technology, and will discuss the latest technical developments and future research challenges.

Course Contents in brief:

• Radio frequency Identification (RFID) Systems
• RFID applications
• RFID-based sensing and localization

Schedule: 

• Day1 – 10 aprile 2019 ore 9:00
• Day2 – TBD
• Day3 – TBD

Nota: l’orario dettagliato verrà comunicato agli allievi durante il primo giorno di corso.