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End-over-end (EoE) rotation of toroidal cans: An experimentally validated mathematical modelling study
(Elsevier, 2024)
Toroidal cans have been presented recently to improve the canning process efficiency, and previous studies focused on static and axial rotational processes. End-over-End (EoE) rotation is a significant agitation approach ...
Data-efficient reinforcement learning for variable impedance control
(IEEE, 2024)
One of the most crucial steps toward achieving human-like manipulation skills in robots is to incorporate compliance into the robot controller. Compliance not only makes the robot’s behaviour safe but also makes it more ...
Influence of Al addition on microstructure and electrochemical behaviour of CrMnFeCoNi high-entropy alloy
(Elsevier, 2024)
To develop new corrosion-resistant materials for structural applications, CrMnFeCoNiAlx high-entropy alloys (HEAs) are produced via semi-industrial induction casting. The study aimed to investigate the influence of Al ...
Li-ion Battery State-of-Charge estimation algorithm with CNN-LSTM and Transfer Learning using synthetic training data
(2022)
The development of State-of-Charge (SoC) algorithms for Li-ion batteries involves carrying out different laboratory tests with the money and time that this entails. Furthermore, such laboratory labours must typically be ...
Comparison between Bernardi’s equation and Heat Flux Sensor measurement as Battery Heat Generation Estimation Method
(2022)
The heat generation of an energy storage system is an essential topic when designing a battery pack and its cooling system. Heat generation estimation is used together with thermal models to predict battery temperature in ...
A general approach to Software Product Line testing
(Sistedes: Sociedad de Ingeniería de Software y Tecnologías de Desarrollo de Software, 2019)
Variability is a central concept in Software Product Lines (SPLs). It has been extensively studied how the SPL paradigm can improve both the efficiency of a company and the quality of products. Nevertheless, this brings ...
Magnet eddy current loss calculation method for segmentation analysis on permanent magnet machines
(IEEE, 2011)
Eddy current losses generated in the rotor of permanent magnet machines may lead to an excessive magnet heating. This can cause the magnets to get fully demagnetized so it is very important to analyze the losses on them. ...
HRM systems and employee affective commitment: the role of employee gender
(Emerald, 2020)
Purpose
Despite decades of studies on high-involvement human resource management (HRM) systems, questions remain of whether high-involvement HRM systems can increase the commitment of women. This study aims to contribute ...
An Experimental Protocol for Human Stress Investigation in Manufacturing Contexts: Its Application in the NO-STRESS Project
(MDPI, 2023)
Stress is a critical concern in manufacturing environments, as it impacts the well-being and performance of workers. Accurate measurement of stress is essential for effective intervention and mitigation strategies. This ...
Berrikuntza prozesu baten mapa berria: eraldaketaren eredua: etorkizuneko irakasleen formazioan eragiten
(Mondragon Unibertsitatea. Humanitate eta Hezkuntza Zientzien Fakultatea, 2020-07)
BEAUD: A Browser Extension to Automatize End-User Deeds
(Elsevier, 2023)
Web Augmentation allows anyone, computer-literate or not, to adapt the content, style or behavior of any web page. Searching for information is not always an undemanding task. The information searches carried out by users ...
High Efficiency Converters Based on Modular Partial Power Processing for Fully Electric Maritime Applications
(MDPI, 2023)
This paper proposes an approach for analyzing the benefits that partial-power-processing-based converters can bring to fully electric maritime applications. With the aim of making the system modular and scalable to different ...
Mechanical Properties and Fatigue Performance of 17-4 PH Stainless Steel Manufactured by Atomic Diffusion Additive Manufacturing Technology
(MDPI, 2023)
Additive Manufacturing (AM) is gaining importance as an alternative and complementary technology to conventional manufacturing processes. Among AM technologies, the Atomic Diffusion Additive Manufacturing (ADAM) technology ...
Development of a new set of Heuristics for the evaluation of Human-Robot Interaction in industrial settings: Heuristics Robots Experience (HEUROBOX)
(Frontiers, 2023)
Humans and robots will increasingly have to work together in the new industrial context. Therefore, it is necessary to improve the User Experience, Technology Acceptance, and overall wellbeing to achieve a smoother and ...
Impact of turbulence and blade surface degradation on the annual energy production of small-scale wind turbines
(Wiley, 2023)
Small-scale horizontal axis wind-turbines (SHAWTs) are acquiring relevance withinthe regulatory policies of the wind sector aiming at net-zero emissions, while reduc-ing visual and environmental impact by means of distributed ...
Dielectric Flow and Tab-Based Battery Thermal Management System For EV High Performance Application
(Elsevier, 2023)
From the perspectives of security, durability, and proper operation, effective temperature control via thermal management systems (TMSs) on lithium-ion batteries is crucial for electric vehicle use. In this regard, a novel ...
Creating a Robust SoC Estimation Algorithm Based on LSTM Units and Trained with Synthetic Data
(MDPI, 2023)
Creating SoC algorithms for Li-ion batteries based on neural networks requires a large amount of training data, since it is necessary to test the batteries under different conditions so that the algorithm learns the ...
Deobfuscating leetspeak with deep learning to improve spam filtering
(UNIR - Universidad Internacional de La Rioja, 2023)
The evolution of anti-spam filters has forced spammers to make greater efforts to bypass filters in order to distribute content over networks. The distribution of content encoded in images or the use of Leetspeak are ...
Local gradient analysis of human brain function using the Vogt-Bailey Index
(Springer, 2024)
In this work, we take a closer look at the Vogt-Bailey (VB) index, proposed in Bajada et al. (NeuroImage 221:117140, 2020) as a tool for studying local functional homogeneity in the human cortex. We interpret the VB index ...