Titlebook: Advances in System-Integrated Intelligence; Proceedings of the 6 Maurizio Valle,Dirk Lehmhus,Klaus-Dieter Thoben Conference proceedings 202

空气

Pau Luque,Ismael Martínez Torresithm for online estimation of the inertia constant and damping coefficient of individual energy sources. The behavior of this embedded implementation is analyzed with respect to some key parameters and tested on the IEEE 14-bus power system.

烤架

HUSH

Autonomous Driving Based on Imitation and Active Inferencerediction. The model is grounded in a principled framework to learn and cognize the dynamic surrounding of a learning agent, which exemplifies the model’s functioning by presenting a simulation of overtaking scenarios in autonomous driving. The learning agent integrates imitation learning and active

Fresco

Arboreal

A Novel Rule-Based Modeling and Control Approach for the Optimization of Complex Water Distribution ch does not require a rigorous formulation of the optimization model, since only a set of historical data, where solutions are labeled as good or bad, is needed. It makes use of a rule-based machine learning method, which allows the optimization of complex networks, where a full description of the s

COMA

Paraplegia

induct

FPGA-Based Road Crack Detection Using Deep Learningwork is based on the network proposed by the current state of the art in the field. We deploy the network using the MATLAB Deep Learning HDL toolbox on all available AMD-Xilinx platforms, including different data types. In particular, we use the ZC706 and ZCU102 development boards. In order to infer

Gum-Disease

Simple Non Regressive Informed Machine Learning Model for Prescriptive Maintenance of Track Circuitsesults occupied for a certain period of time when there is no train on it. FO can be resolved by manually driving a train on the faulty TC with a waste of time and resources. After a FO, operators, based on their experience, need to decide if there is an actual need for maintenance or if the problem

maroon

Embedded Implementation of an Algorithm for Online Inertia Estimation in Power Grids sources (RES) for electric power production. However, integrating photovoltaic and wind power plants in traditional power grids threatens the stability of the system if no additional synthetic inertia is provided by control systems. Due to the intermittent nature of RES, the inertia of the power pl