6722220
doi
10.5281/zenodo.6722220
oai:zenodo.org:6722220
Stojanovic Radovan
University of Montenegro, MECOnet
Voros Nikolaos
University of Peloponnese
Proceedings of the 3rd Summer School on Cyber-Physical Systems and Internet-of-Things, Vol. III, 2022
Jozwiak Lech
Technical University Eindhoven
info:eu-repo/semantics/openAccess
Creative Commons Attribution 4.0 International
https://creativecommons.org/licenses/by/4.0/legalcode
Computing
Cyber Physical Systems
Internet of Things
Embedded Computing
Summer School
Smart Systems
<p>Contents:</p>
<p>Authors, Title, page #</p>
<p>Lech Jóźwiak, Radovan Stojanović Introduction to the CPS&IoT’2022 Summer School ............................. 1</p>
<p>Luca Benini PULP: Extreme Energy Efficiency for Extreme Edge AI Acceleration ........................................4</p>
<p>Lech Jóźwiak, Green CPS and IoT for Green World.................................................................................... 56</p>
<p>Mario Kovač, Josip Knezović European Processor Initiative Technology for Exascale Era ......................... 158</p>
<p>Gianluca Bellocchi, Alessandro Capotondi, Andrea Marongiu, Francesca Palumbo, Daniel Madroñal Quintin Accelerator-Rich FPGA Architecture Exploration via a Programmable and Reconfigurable Overlay...................................................189</p>
<p>Reda Nouacer, Morayo Adedjouma From Embedded-Systems towards swarms: opportunities and</p>
<p>challenges...................................................................................................................................................... 287</p>
<p>Letizia Jaccheri Software for a Better Society.................................................................................................323</p>
<p>Roberto Giorgi Extending Performance and Reliability via Modular FPGA Clusters. ....................................371</p>
<p>Filippo Cugini, Pavel Burget, Martin Ron Edge computing: the BRAINE solution. ........................................410</p>
<p>Axel Jantsch, Zhonghai Lu Embedded Machine Learning. .......................................................................... 471</p>
<p>Muhammad Shafique, Muhammad Abdullah Hanif Embedded Machine Learning for the Edge:</p>
<p>From Algorithms to Architectures. .............. ..................................................................................................558</p>
<p>Eugenio Villar, Hector Posadas, Raul Gomez, Jose María Gandara Modeling, design</p>
<p>and Implementation of drone-based services.............................................................................................. 592</p>
<p>Dimitrios Serphanos, U. Patras and CTI, Stavros Koubias, U. Patras, Synthesis of</p>
<p>Runtime Monitors for Safe and Secure Industrial Systems..........................................................................637</p>
<p>Dominique Blouin, Anish Bhobe Embedded systems modeling, analysis and</p>
<p>automatic code generation with AADL and RAMSES................................................................................. 667</p>
<p>Rupert Schlick, Thomas Bauer How to design and tailer a perfect fitting verification and</p>
<p>validation process for your CPS&IoT project?............................................................................................ 719</p>
<p>Peter Mörtl, Nikolai Ebinger Framework to facilitate Trustworthiness of</p>
<p>Smart Systems for End Users……………..............................................................................................….777</p>
<p>Ramiro Samano Robles Reference architecture for trusted AIoT systems:</p>
<p>certification, standardization, and regulation. ........................................................................................... 806</p>
<p>Christoph Schmittner Cybersecurity Engineering and Management........................................................ 875</p>
<p>Samir Ouchani Secure and Reliable Smart Cyber Physical Systems.......................................................946</p>
<p>Abdelhakim Baouya Artificial Intelligence meets Formal Methods: Generation and verification</p>
<p>of learned stochastic automata ..............................................................................................................1013</p>
<p>Radovan Stojanovic Principles of performance effective nodes design for smart systems.................. .1050</p>
<p>Milica Orlandić Data Processing Pipelines on small satellites and drones: challenges and solutions ...1076</p>
<p>Nikolaos Voros The achievements of SMART4ALL project in</p>
<p>Customized Low-Energy Computing for CPS . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ..1109</p>
<p>Abeer Akkad, Gary Wills, Abdolbaghi Rezazadeh An IoT-enabled</p>
<p>Smart Grid: Definitions, Characteristics, Challenges, and Future Directions .........................................1155</p>
<p>Schedule-CPS&IoT’2022 Summer School on Cyber-Physical Systems and Internetof- Things......... 1164</p>
<p>3rd Summer School on Cyber Physical Systems and Internet of Things - SS-CPSIoT’2022 3rd Generation (Students and Teachers) Certificate of Attendance .......................................................................................................................1165</p>
<p>Author Index</p>
<p>Photo gallery </p>
Zenodo
2022-06-23
info:eu-repo/semantics/book
6698644
1.2
1656920592.982119
86902393
md5:748b15ece2b7b73b6cd0b02a7d8af1d4
https://zenodo.org/records/6722220/files/Proceedings_SS_CPSIoT2022.pdf
public
10.5281/zenodo.6698644
isVersionOf
doi