Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Eugenio Grippo"'
Publikováno v:
2022 International Conference on Computer Communications and Networks (ICCCN).
Publikováno v:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXXI.
Autor:
Tzanis Anevlavis, Jonathan Bunton, Jared Coleman, Mine Dogan, Eugenio Grippo, Abel Souza, Christina Fragouli, Bhaskar Krishnamachari, Matthew Maness, Karl Olson, Prashant Shenoy, Paulo Tabuada, Gunjan Verma
Publikováno v:
Artificial Intelligence and Machine Learning for Multi-Domain Operations Applications IV.
Autor:
Eugenio Grippo, Edmond Jonckheere
Publikováno v:
2021 International Conference on Electrical, Computer and Energy Technologies (ICECET).
Publikováno v:
SenSys
As IoT deployments grow in scale for applications such as smart cities, they face increasing cyber-security threats. In particular, as evidenced by the famous Mirai incident and other ongoing threats, large-scale IoT device networks are particularly
Publikováno v:
IEEE ICBC
Decentralized cryptocurrency exchange protocols such as Uniswap, Curve and other types of Automated Market Makers (AMMs) maintain a liquidity pool (LP) of two or more assets constrained to maintain at all times a mathematical relation to each other,
Publikováno v:
CCTA
This work develops a congestion management method for the power grid utilizing the notion of curvature. It initially uses the curvature concept to detect areas prone to congestion (negative curvature areas) and it subsequently applies load balancing
Publikováno v:
ACC
A new method for congestion management is introduced based on a new concept of graph curvature. Fundamentally, a new curvature concept is presented and utilized to detect congestion within the power grid. From the premise that a negative curvature pr
Autor:
Edmond A. Jonckheere, Eugenio Grippo
Publikováno v:
2019 Chinese Control And Decision Conference (CCDC).
A new method for congestion management is developed based on the Ollivier-Ricci curvature notion applied to the power grid. This curvature notion is utilized to detect those lines that carry a significant amount of power compared to other lines (nega