Zerrendatu Kongresuak-Ingeniaritza honen arabera: izenburua
316-tik 203-222 emaitza erakusten
-
A meta-learning strategy based on deep ensemble learning for tool condition monitoring of machining processes
(Elsevier, 2023)For Industry 4.0, tool condition monitoring (TCM) of machining processes aims to increase process efficiency and quality and lower tool maintenance costs. To this end, TCM systems monitor variables of interest, such as ... -
Metamorphic Testing of Autonomous Vehicles: a Case Study on Simulink
(2021)Autonomous Vehicles (AVs) will revolutionize the way people travel by car. However, in order to deploy autonomous vehicles, effective testing techniques are required. The driving quality of an AV should definitely be ... -
Methodology for thermal modelling of lithium-ion batteries
(IEEE, 2013)Temperature is a determinant parameter in terms of performance, lifespan and safety working with li-ion batteries. Working above 45°C, in hot climates, has direct influence in the cycle life of the battery and can cause a ... -
Methodology to Study Demagnetization Risk in Permanent Magnet Machines by Finite Element Method
(IEEE, 2017)Nowadays the majority of applications are demanding more and more compact, cost effective and robust solutions for their electric drives. In this context permanent magnet synchronous machines are considered as a good ... -
Metodología UCAD: Principios para garantizar el desarrollo de soluciones digitales que tienen en cuenta a los usuarios
(AEIPRO, 2017)The so-called Industry 4.0 has caused the introduction of new digital technologies that increase and improve the production and potential of the new intelligent industry. For that, it’s necessary a good communication between ... -
Microservices for Continuous Deployment, Monitoring and Validation in Cyber-Physical Systems: an Industrial Case Study for Elevators Systems
(IEEE, 2021)Cyber-Physical Systems (CPSs) are systems that integrate digital cyber computations with physical processes. The software embedded in CPSs has a long life-cycle, requiring constant evolution to support new requirements, ... -
Model driven Hardware-in-the-Loop Fault analysis of railway traction systems
(IEEE, 2017)Classical Dependability Analysis techniques, such as Failure Mode and Effects Analysis (FMEA) and Fault Tree Analysis, have been used during the last decades to demonstrate the reliability, availability, maintainability ... -
Model Predictive Control for EV Chargers Coupling Electro-Thermal and Degradation Battery Models
(IEEE, 2023)This paper presents an energy management algorithm for an Electric Vehicle (EV) charging station equipped with solar energy generation and local battery-based storage. For this purpose, a practical electric, thermal, and ... -
Model Query Translator. A Model-level Query Approach for Large-scale Models
(SCITEPRESS, 2015)Persisting and querying models larger than a few tens of megabytes using XMI introduces a significant time and memory footprint overhead to MDD workflows. In this paper, we present an approach that attempts to address this ... -
Model-Based Testing in Practice: An Industrial Case Study using GraphWalker
(ACM, 2021)Model-based testing (MBT) is a test design technique that supports the automation of software testing processes and generates test artefacts based on a system model representing behavioural aspects of the system under test ... -
Modular Battery Energy Storage Systems for Available Energy Increase
(IEEE, 2022)The aim of this work is to dive into the available energy of different configurations of battery packs, a vital factor when it comes to improving the driving range of electric vehicles. To that end, two different storage ... -
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 ... -
Module-Level Modelling Approach for a Cloudbased Digital Twin Platform for Li-Ion Batteries
(IEEE, 2022)The pursue of the new increasingly intelligent, and heavier state estimation algorithms requires a significant amount of data and computing power, which may challenge their deployment in current BMS solutions. To address ... -
Mondragon ZTIM-HUB: the collaborative network for the development of stem vocations
(2022)It is well known that STEM (Science, Technology, Engineering & Mathematics) is one of the most heard concepts both in the field of education and in the business sphere, when talking about the socio-economic needs of the ... -
Monitorización longitudinal de la compliancia pulmonar basada en la TIE en pacientes infectados por COVID-19
(Sociedad Española de Ingeniería Biomédica, 2021)El COVID-19 es una infección vírica que causa complicaciones en el sistema respiratorio. Los síntomas más comunes sugieren que las tecnologías de imagen médica pueden ofrecer información relevante sobre el diagnóstico, ... -
A Mood Analysis on Youtube Comments and a Method for Improved Social Spam Detection
(Springer, 2018)In the same manner that Online Social Networks (OSN) usage increases, non-legitimate campaigns over these types of web services are growing. This is the reason why signi cant number of users are affected by social spam ... -
Multi-AP Coordination PHY/MAC Management for Industrial Wi-Fi
(IEEE, 2022)This work discusses Access Point Coordination techniques for future 802.11 communications in the context of industrial Wireless TSN scenarios. A Coordinated OFDMA setup is proposed with a frame exchange scheme based on ... -
Multi-modal person detection and tracking from a mobile robot in a crowded environment
(Scitepress, 2011)This paper addresses multi-modal person detection and tracking using a 2D SICK Laser Range Finder and a visual camera from a mobile robot in a crowded and cluttered environment. A sequential approach in which the laser ... -
Multi-Objective Metamorphic Test Case Selection: an Industrial Case Study (Practical Experience Report)
(IEEE, 2022)Metamorphic testing is a technique that has shown great potential to alleviate the test oracle problem by exploiting the relations among the inputs and outputs of different executions of a system. However, this approach ...
