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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 ...
State of charge estimation combining physics-based and artificial intelligence models for Lithium-ion batteries
(Elsevier, 2023)
This paper presents a sequential model based on Physic Based Models (PBM) and Artificial Intelligence Models (AI) focused on the estimation of the State of Charge (SoC). The PBM can provide interesting information about ...
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 ...
Classification of Industrial Sectors Based on Their Profiles of Greenhouse Gas Emissions and Policy Implications
(OmniaScience, 2023)
Purpose: This article reports on a study of greenhouse gases emitted by industrial manufacturing sectors and gives insights into the appropriate orientation of emission reduction public programmes for better efficiency.
...
The combined effect of contact interface size and spin on lubricated traction in rolling-sliding point contacts
(Elsevier, 2023)
Traction in lubricated rolling and sliding contacts plays an important role in the performance of several machine elements. Many of such elements are subject to spin motion, which can affect their performance. Recent studies ...
Methodology and toolset for testing highly reconfigurable programmable logic controllers
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
The manufacturing industry has entered a new era of highly changeable customer requirements and tailor-made products. To meet market demands, manufacturing systems need to be redefined to be able to cost-effectively produce ...
Caracterización y modelización del comportamiento mecánico de materiales compuestos de fibra continua con orientaciones no-convencionales fabricados mediante impresión 3D
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
The ambitious goal of zero emissions in the transport sector requires the development of new materials and technologies that can significantly contribute to weight reduction. Recent advances in Fused Filament Fabrication ...
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 ...
Development and Comparison of Rule- and Machine Learning-Based EMS for HESS Providing Grid Services
(IEEE, 2024)
In this paper, a smart machine-learning-based energy management system (MLBEMS) is developed for a hybrid energy storage system (HESS). This HBESS consists of batteries with high-energy (HE) and high-power (HP) characteristics, ...
Dynamic context-aware workflow management architecture for efficient manufacturing: A ROS-based case study
(Elsevier, 2024)
The manufacturing industry of the future requires innovative approaches to optimize operational efficiency and adaptability. Integrating context-awareness into workflow management systems has emerged as a promising avenue ...
How ready is the wind energy industry for the circular economy?
(Elsevier, 2023)
Despite the strong contribution of wind energy for decarbonisation, the readiness of the wind industry for the transition to a sustainable circular economy (CE) is still unclear. To support CE innovation in the wind industry, ...
Physicochemical characterization of hydrophobic type III and type V deep eutectic solvents based on carboxylic acids
(Elsevier, 2023)
In the present work, novel type III and type V deep eutectic solvents (DESs) were prepared by mixing choline chloride (ChCl), tetrabutylammonium chloride (TBAC) or thymol as HBA, and different alkyl chain length carboxylic ...
Retinal Optical Coherence Tomography Features Associated With Incident and Prevalent Parkinson Disease
(American Journal of Analogy, 2023)
Background and Objectives
Cadaveric studies have shown disease-related neurodegeneration and other morphological abnormalities in the retina of individuals with Parkinson disease (PD); however, it remains unclear whether ...
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 ...
High-temperature tribological performance of functionally graded Stellite 6/WC metal matrix composite coatings manufactured by laser-directed energy deposition
(Springer, 2024)
Wear-driven tool failure is one of the main hurdles in the industry. This issue can be addressed through surface coating with ceramic-reinforced metal matrix composites. However, the maximum ceramic content is limited by ...
Testing the verification and validation capability of a DCP-based interface for distributed real-time applications
(MDPI, 2023)
Cyber–physical systems (CPS) integrate diverse elements developed by various vendors, often dispersed geographically, posing significant development challenges. This paper presents an improved version of our previously ...
Characterizing the Backscattered Spectrum of Mie Spheres
(Wiley, 2023)
This study describes both experimentally and theoretically an important hitherto undiscovered feature of the scattering of micron-sized spherical objects when illuminated with highly focused circularly polarized light. ...
Surface integrity evaluation within dry grinding process on automotive gears
(Elsevier B.V., 2022)
Gears are essential components in automotive transmissions and their performance directly depends on the flanks surface integrity. To date the gears whole production chain do not use lubricants, except the final step of ...
Control methods and stability analysis of electricity networks strongly dominated by power electronic converters
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
Contemporary society faces significant energy challenges due to the accumulation of greenhouse gases in the atmosphere. This scenario has been driven mainly by the use of fossil fuels for energy generation, population ...