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Publicações

2020

High density cascaded zvs switched capacitor converter for 48-v data-center application

Autores
Rainer, C; Rizzolatti, R; Varajao, D;

Publicação
PCIM Europe Conference Proceedings

Abstract
This paper presents a new intermediate bus converter topology based on a zero voltage switching switched capacitor circuit including a novel non-isolated gate driver ICs enabling high power density in 48-V data center applications. The proposed topology inherently ensure zero voltage switching operation enabling high switching frequency keeping high efficiency. The novel non-isolated driver IC, with truly differential input, works also as floating high side driver, which lead to a driver circuit footprint reduction by 75% compared to an equivalent dual isolated driver IC. Experimental results show the effectiveness of the proposed approach, the prototype achieves 3060 W=in3 power density and a peak efficiency of 97.13% at 48-V input voltage including auxiliary losses. © VDE VERLAG GMBH · Berlin · Offenbach.

2020

Energy wars - Chrome vs. Firefox: which browser is more energy efficient?

Autores
Macedo, Jd; Aloísio, J; Gonçalves, N; Pereira, R; Saraiva, J;

Publicação
ASE Workshops

Abstract

2020

Principais temáticas em gestão de projetos: uma análise bibliométrica

Autores
Gerson Pech; Catarina Delgado;

Publicação

Abstract

2020

Using multi-criteria decision analysis to rank European health systems: The Beveridgian financing case

Autores
Pereira, MA; Machete, IF; Ferreira, DC; Marques, RC;

Publicação
SOCIO-ECONOMIC PLANNING SCIENCES

Abstract
Health is one of the most fundamental human rights. In that sense, the creation of health systems attempted to provide the population with organisations, institutions, and resources to meet their needs. However, health inequalities are prevalent in all countries. Thus, evaluating health systems is vital to understand this issue. Accordingly, the aim of this work is to develop a multi-criteria decision analysis (MCDA) approach to innovatively rank nine of the European health systems with Beveridgian financing that would help determine the shortcomings of the Portuguese National Health Service and discern the operating "best practices", in a close interaction with the Portuguese Ministry of Health. First, the panel of decision-making actors was guided through the design of a cognitive map to promote their learning process and help them identify eleven fundamental points of view. Second, their operationalisation was facilitated by selecting acceptable descriptors of performance. Finally, an MCDA approach was proposed to evaluate the chosen health systems using an additive model, which included a sensitivity and a robustness analysis. In the end, the model was perceived by the panel as being trustworthy and reliable. This framework can be used for further MCDA modelling in similar applications based on participatory procedures.

2020

On reliable modeling of substrate/buffer loading effects in a gallium nitride high-electron-mobility transistor on silicon substrate

Autores
Jarndal, A; Hussein, AS;

Publicação
Journal of Computational Electronics

Abstract

2020

Data Pre-processing and Data Generation in the Student Flow Case Study

Autores
Cavique, L; Pombinho, P; Tallón Ballesteros, AJ; Correia, L;

Publicação
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Abstract
Education covers a range of sectors from kindergarten to higher education. In the education system, each grade has three possible outcomes: dropout, retention and pass to the next grade. In this work, we study the data from the Department of Statistics of Education and Science (DGEEC) of the Education Ministry. DGEEC maintains those outcomes for each school year, therefore, this study seeks a longitudinal view based on student flow. The document reports the data pre-processing, a stochastic model based on the pre-processed data and a data generation process that uses the previous model. © 2020, Springer Nature Switzerland AG.

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