Accelerating the numerical solution of thermal runaway in Li-ion batteries

M Parhizi, A Jain, G Kilaz, JK Ostanek - Journal of Power Sources, 2022 - Elsevier
Computational modeling and simulation of thermal runaway in Li-ion batteries is an effective
tool to understand safety concerns associated with Li-ion batteries. However, thermal …

Intrinsic noise improves speech recognition in a computational model of the auditory pathway

A Schilling, R Gerum, C Metzner, A Maier… - Frontiers in …, 2022 - frontiersin.org
Noise is generally considered to harm information processing performance. However, in the
context of stochastic resonance, noise has been shown to improve signal detection of weak …

Stochastic Motion Planning as Gaussian Variational Inference: Theory and Algorithms

H Yu, Y Chen - arXiv preprint arXiv:2308.14985, 2023 - arxiv.org
We consider the motion planning problem under uncertainty and address it using
probabilistic inference. A collision-free motion plan with linear stochastic dynamics is …

Building a realistic virtual simulator for unmanned aerial vehicle teleoperation

ME Mora-Soto, J Maldonado-Romo… - Applied Sciences, 2021 - mdpi.com
Unmanned Aerial Vehicles (UAVs) support humans in performing an increasingly varied
number of tasks. UAVs need to be remotely operated by a human pilot in many cases …

Doubly fed induction wind generators model and field orientation vector control design and implementation on FPGA

H Nahilia, M Boudour, A Cardenas, K Agbossou… - International Journal of …, 2019 - Springer
Dynamic systems emulators are very efficient techniques to design a system that mimics a
precise behaviour of real systems. Moreover, they are designed to reduce costs as well as to …

An efficient ODE-solving method based on heuristic and statistical computations: αII-(2+ 3) P method

M Babaei - The Journal of Supercomputing, 2024 - Springer
The main goal of this paper is to develop a new class of sixth-and fourth-order implicit
Runge–Kutta methods to treat linear and nonlinear initial value ordinary differential …

UltraSynth: insights of a CGRA integration into a control engineering environment

D Wolf, A Engel, T Ruschke, A Koch… - Journal of Signal …, 2021 - Springer
Abstract Coarse Grained Reconfigurable Arrays (CGRAs) or Architectures are a concept for
hardware accelerators based on the idea of distributing workload over Processing Elements …

Contribution to Speeding-Up the Solving of Nonlinear Ordinary Differential Equations on Parallel/Multi-Core Platforms for Sensing Systems

V Tavakkoli, K Mohsenzadegan, JC Chedjou… - Sensors, 2020 - mdpi.com
Solving ordinary differential equations (ODE) on heterogenous or multi-core/parallel
embedded systems does significantly increase the operational capacity of many sensing …

Application of difference schemes to decision the pursuit problem

VF Ochkov, IE Vasileva - Информатика и автоматизация, 2019 - ia.spcras.ru
The problem of the pursuit curve construction in the case when the tangent to pursuer's
motion trajectory passes at any time through the point representing the pursued is …

Ultrasynth: integration of a CGRA into a control engineering environment

D Wolf, T Ruschke, C Hochberger, A Engel… - … Symposium, ARC 2019 …, 2019 - Springer
Abstract Coarse Grained Reconfigurable Arrays (CGRAs) can exploit parallelism of compute-
intense applications by distributing their workload across a set of Processing Elements …