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Now showing items 61-80 of 91
Dimensionality reduction for the improvement of anti-spam filters
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)
Nowadays, spam represents more than 45% of the world’s email traffic. Filtering techniques to combat the problem of spam distribution have been the subject of many research studies in recent years. Several combinations of ...
Aplicación de tecnologías de digitalización a sistemas industriales automatizados basados en controladores lógicos programables
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2022)
In an industrial environment in which delivery times of automated solutions are a differential in the market, one of the main concerns of the technical staff of development companies is to speed up the development, testing ...
Crowned spherical gear couplings working at high misalignment applications: geometry generation, loaded tooth contact analysis, and experimental validation
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2023)
Spherical gear couplings are commonly used mechanical components to transmit power between highly misaligned rotating shafts. Their main geometry characteristic is the appearance of undercut sections on the hub when machining ...
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 ...
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 ...
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, ...
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 ...
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. ...
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 ...
Federated Explainability for Network Anomaly Characterization
(ACM, 2023)
Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...
Non-destructive experimental technique to determine ball contact load in rolling machine elements
(Elsevier, 2024)
Rolling machine elements, such as ball bearings, ball screws, or guiding systems are commonly used in diverse industrial applications. These components typically assume uniform load distribution among the balls or rely on ...
A general kinematic model for lubricated ball bearings based on the minimum energy hypothesis
(Elsevier, 2024)
Accurately predicting the performance of lubricated rolling elements is critical for certain key bearing applications. A widely employed simulation technique is quasi-static models, which although computationally efficient ...
Definition of 3D Printing Parameters by the Design of Experiments to Characterise Carbon Fibre-Reinforced Polyamide
(Springer, 2024)
This paper presents the application of an advanced quality management tool, the design of experiments (DOE), in order to characterise a new material (carbon fibre-reinforced polyamide) used in the 3D printing process. The ...
Combining experimental and FEM approaches to determine the influence of workpiece temperature on fundamental variables in the machining process
(Materials Research Forum LLC, 2024)
In machining it is common practice to use lubricants to enhance machinability, resulting in improved part quality and reduced tool wear. However, emerging efforts are centered on mitigating the environmental impact of ...
Gallium Nitride Power Devices: A State of the Art Review
(IEEE, 2023)
Wide Bandgap (WBG) semiconductor materials present promising electrical and thermal characteristics for Power Electronics applications. These WBG devices make it possible the development of more efficient converters with ...
Simple and Affordable Method for Fast Transient Measurements of SiC Devices
(IEEE, 2020)
The measurement of fast voltage and current transients of Silicon Carbide (SiC) devices requires high bandwidth (BW) probes. Commercially available voltage and current probes can be expensive, and, in addition, the delay ...