2020
Autores
Monteiro, AP; Jacobina, CB; Mello, JPRA; de Freitas, NB;
Publicação
IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS
Abstract
Cascaded H-bridge (CHB) inverters may have some of its cells with a bidirectional power flow between the dc source and the load. Considering this, switching strategies for multilevel CHB inverters are proposed for applications in which the regenerative mode is not desired, forcing all the cells to have either null or positive power flow toward the load. In order to validate the theoretical considerations, simulation and experimental analysis are made, where it is possible to maintain the high voltage quality and avoid the regenerative mode at any operating point.
2020
Autores
Machado, L; Freitas, A; Schlemmer, E; Pedron, CD;
Publicação
Advances in Educational Technologies and Instructional Design - Handbook of Research on Diverse Teaching Strategies for the Technology-Rich Classroom
Abstract
2020
Autores
Araújo, T; Aresta, G; Mendonça, L; Penas, S; Maia, C; Carneiro, A; Mendonça, AM; Campilho, A;
Publicação
IEEE ACCESS
Abstract
Proliferative diabetic retinopathy (PDR) is an advanced diabetic retinopathy stage, characterized by neovascularization, which leads to ocular complications and severe vision loss. However, the available DR-labeled retinal image datasets have a small representation of images of the severest DR grades, and thus there is lack of PDR cases for training DR grading models. Additionally, the criteria for labelling these images in the publicly available datasets is not always clear, with some images which do not show typical PDR lesions being labeled as PDR due to the presence of photo-coagulation treatment and laser marks. This problem, together with the datasets' high class imbalance, leads to a limited variability of the samples, which the typical data augmentation and class balancing cannot fully mitigate. We propose a heuristic-based data augmentation scheme based on the synthesis of neovessel (NV)-like structures that compensates for the lack of PDR cases in DR-labeled datasets. The proposed neovessel generation algorithm relies on the general knowledge of common location and shape of these structures. NVs are generated and introduced in pre-existent retinal images which can then be used for enlarging deep neural networks' training sets. The data augmentation scheme was tested on multiple datasets, and allows to improve the model's capacity to detect NVs.
2020
Autores
Cardoso, S; Sao Mamede, H; Santos, V;
Publicação
2020 15TH IBERIAN CONFERENCE ON INFORMATION SYSTEMS AND TECHNOLOGIES (CISTI'2020)
Abstract
The exchange of academic marks between HEIs (Higher Education Institutions) is mandatory in every student mobility programs (i.e. the EU Erasmus Program) but that process remains to present date with insufficient technological support and the absence of a comprehensive reference model that allows the integration of potential technological solutions for the exchange of academic data with existing Academic Information Systems seems to limit greatly the possibility of adopting solutions of this type referred to in the existing literature. This work addresses this issue, conducting an initial bibliographic review aimed at the identification of the fundamental requirements of such an architecture as well as explores some of the technologies that are showing potential for usage in the safe exchange of academic results between partner HEIs, with particular interest in blockchain technology applied in an educational context.
2020
Autores
Moreira, JB; Mamede, H; Pereira, V; Sousa, B;
Publicação
INTERNATIONAL JOURNAL OF NETWORK MANAGEMENT
Abstract
The architecture for 5G core includes a Service-Based Architecture for the diverse network functions (NFs), which relies on HTTP/2 for the SBI and TCP as the underlying transport protocol. The specifications of the HTTP family is moving towards more efficient and secure protocols, which are based on UDP to assure enhanced transport but using TLS to secure the communication channel. The next generation of microservices needs to be more secure, performant and easily manageable, where HTTP/3 and containers orchestration platforms (like Kubernetes) can provide significative contributions towards such goals. Different deployment approaches can be followed for services implemented in compliance to the 5G SBA. This paper contributes with the assessment of deployment models for services in 5G networks, where NFs are implemented following traditional architectures (all the functions in a VM) or as serverless architectures (with functions distributed in containers). The performance of microservices in Kubernetes is also evaluated. The evaluation conducted also considers the employment of different versions of HTTPs to empower the service-based interfaces of 5G services. Results demonstrate performance benefits of employing HTTP/3, based on QUIC protocol, in scenarios with networks characterised by losses or delay conditions. Despite such gain, deployment in 5G networks needs to carefully consider aspects related with connection tracking mechanisms to support high volumes of requests.
2020
Autores
Proaño-Guevara, D; Serpa-Andrade, L;
Publicação
Advances in Intelligent Systems and Computing - Advances in Human Factors and Ergonomics in Healthcare and Medical Devices
Abstract
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