Buscar
Mostrando ítems 21-28 de 28
Advantages of Arrowhead Framework for the Machine Tooling Industry
(IEEE, 2020)
Immersed in the digital era and fully experiencing the changes introduced by the new industrial revolution of the so-called Industry 4.0, there are still many aspects of industrial digitization to resolve. Interoperability ...
CRESCO Framework and Checker: Automatic Generation of Reflective UML State Machine's C++ Code and Checker
(IEEE, 2020)
Software Systems are becoming increasingly complex leading to new Validation & Verification challenges. Model checking and testing techniques are used at development time while runtime verification aims to verify that a ...
Static Current Unbalance of Paralleled SiC MOSFET Modules in the Final Layout
(IEEE, 2020)
Silicon Carbide (SiC) MOSFETs enable enhanced performance of power converters in several applications. Parallel connection of SiC MOSFETs become mandatory for medium power applications due to the current rate of existing ...
How to Quantify the Security Level of Embedded Systems? A Taxonomy of Security Metrics
(IEEE, 2020)
Embedded Systems (ES) development has been historically focused on functionality rather than security, and today it still applies in many sectors and applications. However, there is an increasing number of security threats ...
In-depth Life Cycle Cost Analysis of a Li-ion Battery-based Hybrid Diesel-Electric Multiple Unit
(IEEE, 2020)
This study analyzes the life cycle costs of railway projects involving hybrid diesel-electric multiple units, focusing on the influence of lithium-ion battery technologies and energy management strategies. Specifically, 3 ...
Partial Power Processing Based Charging Unit for Electric Vehicle Extreme Fast Charging Stations
(IEEE, 2020)
This paper presents an analysis and design of a charging unit inside an electric vehicle extreme fast charging station. Due to the benefits that partial power processing achieves in terms of size reduction and efficiency ...
Data-driven energy resource planning for Smart Cities
(IEEE, 2020)
Cities are growing and, therefore, the primary needs, such as the energy resources. Hence, managing them in the proper way becomes essential for a sustainable growth. This paper proposes a data-driven tool based on IoT ...
Application of Computer Vision and Deep Learning in the railway domain for autonomous train stop operation
(IEEE, 2020)
The purpose of this paper is to present the results of the analysis of the application of Deep Learning in the railway domain with a particular focus on a train stop operation. The paper proposes an approach consisting of ...