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When Memory Corruption Met Concurrency: Vulnerabilities in Concurrent Programs
(IEEE, 2023)
Concurrent programs are widespread in modern systems. They make better use of processor resources but inevitably introduce a new set of problems in terms of reliability and security. Concurrency bugs usually lead to program ...
Modular Battery Systems’ Accessible Energy Analysis
(2022)
One of the main concerns regarding traditional battery energy storage systems (BESS) is how to solve issues related to cell inhomogeneities. This problem commonly ends up reducing the accessible energy level, especially ...
Industrial eco-productivity tool: a case study of industrial SMEs
(Springer, 2023)
This paper presents a new, unified method to measure and increase production and environmental performance in industrial SMEs (Small and Medium Enterprises), which have very limited resources, by identifying areas to improve ...
The Measurement of Soret and Thermodiffusion Coefficients in Binary and Ternary Liquid Mixtures
(Springer Nature, 2023)
This review provides an overview of the major, currently used techniques for investigating the Soret effect and measuring thermodiffusion and Soret coefficients, and in most cases also isothermal Fickian diffusion coefficients, ...
PLC orchestration automation to enhance human-machine integration in adaptive manufacturing systems
(Elsevier, 2023)
Current approaches to manufacturing must evolve to respond to increasing demands for short product life cycles and customised products. Adaptive manufacturing systems integrate advanced technologies, automation, and ...
An automatic thermo-mechanical testing apparatus for metal forming applications
(Elsevier, 2023)
Dynamic testing of materials is necessary to model high-speed forming processes (e.g. hammer forging, blanking, forming, etc.) and crash/impact behaviour of structures, amongst others. The most common machines to perform ...
On the Definition of a Comprehensive Technology-Informed Accessibility Metric for Offshore Renewable Energy Site Selection
(MDPI, 2023)
Despite the important role of offshore renewable energies (OREs) in the energy transition, the economical viability is still unclear. Therefore, an appropriate site selection is crucial. Besides the energy potential, the ...
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 ...
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 ...