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Optimal manufacturing configuration selection: sequential decision making and optimization using reinforcement learning
(Elsevier, 2023)
In manufacturing, different costs must be considered when selecting the optimal manufacturing configuration. Costs include manufacturing costs, material costs, labor costs, and overhead costs. Optimal manufacturing ...
Noise attenuation prediction and analysis in rectangular lined ducts
(ISMA, 2022)
The noise of Heating, Ventilating and Air Conditioning (HVAC) systems is an important aspect when the comfort of the users is compromised. Thus, solutions to attenuate that noise need to be proposed. Linings in ducts are ...
Exploring a Methodological Approach to Assessing the Potential Impact of the Implementation of Circular Economy Strategies on Regional Economies Through Environmentally Extended Input-Output Tables
(DIIM, FTS, University of Novi Sad, 2023)
This article is part of a research stream that aims to evaluate the impact of circular economy policies on greenhouse gas (GHG) emission reduction and the industrial structure of specific regions. Building upon previous ...
Design and analysis of a voltage ride-through testing solution based on a novel medium-voltage OLTC auto-transformer
(IEEE, 2023)
In this paper, a novel medium-voltage auto-transformer capable of generating under- and over-voltage conditions is introduced. The auto-transformer could emulate grid disturbances at 20kV, 30kV and 35kV, satisfying the ...
Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
(IEEE, 2020)
The purpose of this paper is to present the results of the analysis of the application of Deep Learning in the railway domain with a particular focus on a train stop operation. The paper proposes an approach consisting of ...
IKARO: plataforma de benchmarking de algoritmos de fuzzing para sistemas embebidos
(Escola Politècnica Superior (EPS) de la Unversitat de Lleida (UdL), 2021)
La presencia de sistemas embebidos conectados aumenta progresivamente representando un desafío el poder actualizar vulnerabilidades una vez han sido desplegados en
campo. Por ello, es necesario optimizar la búsqueda de ...
Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...
Feeder mapping and load flow algorithms for LV distribution grids
(IEEE, 2021)
With the advent of the electric vehicle, distributed generation and other emerging technologies such as heat pumps, the complexity and uncertainty of LV Distribution Networks (LVDNs) is increasing. Advanced Metering ...
Experimental verification of the AC resistance effect in Insulated Metal Substrate based Power Converters
(IEEE, 2023)
Insulated Metal Substrate (IMS) based power converters are an excellent solution for thermal dissipation of power converters, but they suffer for limited layer options generating parasitic elements specially in High ...