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Scheduling of safety-critical time-constrained traffic with F-shaped messages
(IEEE, 2017)
The rapid improvement of systems that surround us such as automotive vehicles brings new challenges for system designers and manufacturers. New functionalities like advanced driver assistants leverage some responsibilities ...
Distributionally robust scheduling algorithms for total flow time minimization on parallel machines using norm regularizations
(Elsevier B.V., 2022)
In this paper, we study a distributionally robust parallel machines scheduling problem, minimizing the total flow time criterion. The distribution of uncertain processing times is subject to ambiguity belonging to a set ...
Efficient Algorithm for Jitter Minimization in Time-Triggered Periodic Mixed-Criticality Message Scheduling Problem
(ACM, 2016)
The current research in real-time scheduling focuses mostly on the certification of functionalities with respect to safety requirements under conservative assumptions or to achieve efflcient resource utilization but with ...
Deep learning-driven scheduling algorithm for a single machine problem minimizing the total tardiness
(Elsevier B.V., 2023)
In this paper, we investigate the use of the deep learning method for solving a well-known NP-hard single machine scheduling problem with the objective of minimizing the total tardiness. We propose a deep neural network ...
Scheduling with uncertain processing times in mixed-criticality systems
(Elsevier, 2019)
Many scheduling problems that can be identified inside safety-critical applications, such as in autonomous cars, tend to be mixed-critical. Such scheduling problems consider tasks to have different criticalities depending ...
Cone Slalom with Automated Sports Car – Trajectory Planning Algorithm
(IEEE Vehicular Technology Society, 2024)
In this paper, we present the system architecture and algorithms of an automated vehicle to perform a slalom. We demonstrate a novel trajectory planning algorithm based on optimization techniques using logic-based Benders ...
Degree Conditions Forcing Directed Cycles
(Oxford University Press, 2023)
Caccetta-Haggkvist conjecture is a longstanding open problem on degree conditions that force an oriented graph to contain a directed cycle of a bounded length. Motivated by this conjecture, Kelly, Kuhn, and Osthus initiated ...
Full-scale evaluation of SO2 capture increase for semi-dry FGD technology
(Elsevier, 2019)
This paper reports on a full-scale investigation of a possible increase of the SO2 capture ratio in current semi-dry flue gas desulphurization (FGD) technology. The FGD unit is used for two 130 t/h steam PC boilers burning ...
C-Shape Busbar With Frequency Invariant Points for Wideband Current Measurement
(IEEE Industrial Electronics Society, 2024)
A yokeless busbar current transducer with frequency-invariant points is presented for the first time in this article. Existing rectangular busbar current transducers suffer from the frequency dependency issue due to the ...
The Role of AGT State Model in Hybrid AnS Resource Control Algorithms Development
(IEEE, 2023)
Decommissioning of fossil power plants and replacing them with power plants with a smaller carbon footprint is a key objective of decarbonization. Decarbonization primarily targets power plants providing electricity to ...