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Life cycle cost analysis of tomato production in innovative urban agriculture systems
(Elsevier, 2022)
The construction of innovative urban agriculture systems in cities has increased due to food and environmental concerns. While the environmental performance of urban agriculture has been extensively studied, research on ...
Circularity and life cycle environmental impact assessment of batteries for electric vehicles: Industrial challenges, best practices and research guidelines
(Elsevier, 2022)
Circular economy (CE) strategies, aimed at reducing resource consumption and waste generation, can help mitigate the environmental impacts of battery electric vehicles (BEV), thereby providing a more efficient alternative ...
Data Sovereignty for AI Pipelines: Lessons Learned from an Industrial Project at Mondragon Corporation
(ACM, 2022)
The establishment of collaborative AI pipelines, in which multiple organizations share their data and models, is often complicated by lengthy data governance processes and legal clarifications. Data sovereignty solutions, ...
In-situ analysis of the elastic-plastic characteristics of high strength dual-phase steel
(Elsevier, 2022)
Modeling the elastic behavior of dual-phase steels is complex due to the strain dependency of Young's modulus and high elastic nonlinearity. Since it is assumed that reasons for this are to be found in microstructural ...
Mechanical properties of friction induced nanocrystalline pearlitic steel
(Springer Nature, 2022)
Nanocrystalline structured variants of commercially available alloys have shown potential for boosting the mechanical properties of these materials, leading to a reduction in waste and thereby retaining feasible supply ...
Identificación de factores que influyen en el compromiso de los empleados utilizando pensamiento sistemicoIdentification of the factors which influence employee commitment using system thinking
(Dyna, 2018)
In our increasingly globalised economy, managing continuous change and remaining competitive has become a central issue for organisations in the industrial sector. Building a sustainable competitive advantage through ...
Influence of the test-chamber shape on the performance of conductometric gas sensors
(Elsevier, 2022)
In this article, CFD simulations results are presented as a key tool to the comprehension of the target gas concentration evolution in a test chamber, at different working conditions. The simulation results are compared ...
Modular battery energy storage system design factors analysis to improve battery-pack reliability
(Elsevier, 2022)
Traditional battery energy storage systems (BESS) are based on the series/parallel connections of big amounts of cells. However, as the cell to cell imbalances tend to rise over time, the cycle life of the battery-pack is ...
Active Power Optimization of a Turning Process by Cutting Conditions Selection: A Q-Learning Approach
(IEEE, 2022)
In the context of Industry 4.0, the optimization of manufacturing processes is a challenge. Although in recent years many of the efforts have been in this direction, there is still improvement opportunities in these ...
Probabilidad y estadística
(Mondragon Unibertsitatea, 2022)
A cualquier ingeniero, a lo largo de su carrera profesional, se le exigirá que tome decisiones racionales, en el sentido que deben ser tomadas en base a una serie de datos experimentales.
La Estadística es la ciencia que ...
Influence of manufacturing tolerances and eccentricities on the unbalanced magnetic pull in permanent magnet synchronous motors
(IEEE, 2022)
Eccentricity is an inevitable fault in electric motors and hence its diagnosis is an important topic. Thus, the influence of static and dynamic eccentricities on the harmonics of the frequency spectra of the unbalanced ...
On the Cost-Effectiveness of Composite Metamorphic Relations for Testing Deep Learning Systems
(IEEE, 2022)
Deep Learning (DL) components are increasing their presence in mission and safety-critical systems, such as autonomous vehicles. The verification process of such systems needs to be rigorous, for which automated solutions ...
Towards Standardized Manufacturing as a Service through Asset Administration Shell and International Data Spaces Connectors
(IEEE, 2022)
This paper presents an industrial scenario that simulates a Manufacturing as a Service system for the execution of remote production orders built upon the implementation of emerging Asset Administration Shell (AAS) ...
Influence of manufacturing tolerances and eccentricities on the unbalanced magnetic pull in permanent magnet synchronous motors
(IEEE, 2020)
Eccentricity is an inevitable fault in electric motors and hence its diagnosis is an important topic. Thus, the influence of static and dynamic eccentricities on the harmonics of the frequency spectra of the unbalanced ...
Influence of Manufacturing Tolerances and Eccentricities on the Electromotive Force in Permanent Magnet Synchronous Motors
(IEEE, 2022)
Eccentricity is a common error in electric motors, so its diagnosis is an important issue. Therefore, the effect of static and dynamic eccentricities on the harmonics of the frequency spectra of the voltage of a phase is ...
Dynamic Wireless Power Transfer DWPT Time Domain model: xyz position and speed coupling effect
(IEEE, 2022)
The paper presents a DWPT system time domain model which considers speed and position (x, y, z) coupling effects. The speed effect compared to static WPT, presents an active behavior that should be considered during the ...
Benefits of switching from Si to SiC modules with further converter optimization
(IEEE, 2022)
SiC semiconductors have better characteristics than Si, improving power electronics converters performances. A prototype that can switch semiconductor technology without changing any other part of the system is built and ...
Evolutionary generation of metamorphic relations for cyber-physical systems
(ACM, 2022)
A problem when testing Cyber-Physical Systems (CPS) is the difficulty of determining whether a particular system output or behaviour is correct or not. Metamorphic testing alleviates such a problem by reasoning on the ...
Advanced measurement techniques to improve predictive modelling of cutting processes by using inverse simulation
(Mondragon Unibertsitatea. Goi Eskola Politeknikoa, 2021)
Machining is one of the most widely employed manufacturing operations, contributing from 3 to 10% of GDP in developed countries. Despite this prevalence, tools and cutting conditions are often chosen on a trial-and-error ...
Survey on Fully Homomorphic Encryption, Theory, and Applications
(IEEE, 2022)
Data privacy concerns are increasing significantly in the context of the Internet of Things, cloud services, edge computing, artificial intelligence applications, and other applications enabled by next-generation networks. ...