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Publications

2020

An In-Depth Study of Mobile Ticketing Services in Urban Passenger Transport

Authors
Campos Ferreira, M; Galvão Dias, T; Falcão e Cunha, J;

Publication
Smart Systems Design, Applications, and Challenges - Advances in Computational Intelligence and Robotics

Abstract
This chapter presents an in-depth study of the current situation of mobile ticketing services in the context of urban passenger transport, and points out future trends and directions that will define forthcoming versions of mobile ticketing services. It defines mobile ticketing services and presents the technologies most used to deliver these solutions. This is complemented by a survey of research studies and experiences of deployments in a real environment. The mobile ticketing ecosystem is then deeply explored, where key players are identified as well as their key drivers and concerns regarding mobile ticketing services. Finally, future trends and research opportunities regarding mobile ticketing solutions are presented.

2020

Understanding the customer experience with smart services

Authors
Goncalves, L; Patricio, L; Teixeira, JG; Wunderlich, NV;

Publication
JOURNAL OF SERVICE MANAGEMENT

Abstract
Purpose This article provides an in-depth understanding of customer experience with smart services, examines customer perceptual responses to smart and connected service environments and enriches this understanding by outlining how contextual factors (in terms of goals, activities, actors and artifacts) influence the customer experience. Design/methodology/approach This study adopts a qualitative approach in order to understand customer experience in the smart energy service setting. Semi-structured interviews and focus groups were conducted with 31 participants forming three groups of energy service customers: advanced smart energy (ASE) customers, electric mobility (EM) customers and high-consumption (HC) customers. Findings The findings show that customer experience with smart services involves a multidimensional set of perceptual responses, comprising specific smart service dimensions (e.g. controllability, visibility, autonomy); relationship dimensions (relationships with the service provider and with the community); and traditional technology-enabled service dimensions (e.g. ease of use, accessibility). The analysis of contextual factors such as goals, activities, actors and artifacts shows that smart services enable a more autonomous experience, wherein customers can integrate a myriad of actors and artifacts and expect the main service provider to support them in taking the lead. Originality/value Smart technologies have profoundly changed the service environment, but research on customer experience with smart services is scarce. This study characterizes smart services, provides an in-depth understanding of customer experience in this new context, and discusses relevant implications for management and service research.

2020

Reactive power provision using distribution grid resources: flexibility hub use case

Authors
Moreira, J; Louro, M; Simões, TF; Villar, J; Fulgêncio, N; Silva, B; Retorta, F; Aguiar, J; Rezende, I; Filipe, NL; Marinho, N;

Publication
IET Conference Publications

Abstract
With the energy transition at sight and the EU renewable energy source integration ambition, the EU-SysFlex project aims at defining a set of advancements in the electric system that drives us towards that direction. With the increasing decentralisation and granularity of the generation facilities, local generation will gain a determinant role in the provision of future local and global systems services. This study presents an overview of a framework for a local market for reactive power control that will be implemented and demonstrated under a real scenario in a Portuguese demo site. The demonstration includes a set of capacitor banks of the distribution system operator (DSO) and two wind farms of a wind power generation operator. This local reactive power market consists of a close to real-time continuous intraday local market managed by the DSO, with 15 min delivery time to increase temporal granularity, and with 7 h delivery horizons with complex bids to allow more flexible assets operation. Market agents can also correct future previously scheduled positions by participating themselves as sellers or buyers of capacitive or inductive reactive power, providing a more flexible framework.

2020

Real-time issues in the ada parallel model with openmp

Authors
Pinho L.M.; Royuela S.; Quiñones E.;

Publication
Ada User Journal

Abstract
The current proposal for the next revision of the Ada language considers the possibility to map the language parallel features to an underlying OpenMP runtime. As previously presented, and discussed in previous workshops, the works on fine-grain parallelism in Ada map well to the OpenMP tasking model for parallelism. Nevertheless, and although the general model of integration, and the semantic constructs are already reflected in the proposed revision of the standard, the integration of these new features with the Real-Time Systems Annex of Ada is still not complete. This paper presents an overview of what is supported and the still open issues.

2020

Low-Resolution Retinal Image Vessel Segmentation

Authors
Zengin, H; Camara, J; Simães Coelho, PJ; Rodrigues, JMF; Cunha, A;

Publication
Universal Access in Human-Computer Interaction. Applications and Practice - 14th International Conference, UAHCI 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, Proceedings, Part II

Abstract
Segmentation process serves to aid the pathology diagnosing process since segmentation filters the interference from other anatomical structures and helps focus on the posterior segment structures of the eye, highlighting a set of signals that will serve for diagnosis of various retinal pathologies. Automatic retinal vessel segmentation can lead to a more accurate diagnosis. This paper presents a framework for automatic vessel segmentation of lower-resolution retinal images taken with a smartphone equipped with D-EYE lens. The framework is evaluated and the attained results were presented. A dataset was assembled and annotated of train models for automatic localisation retinal areas and for vessel segmentation. For the framework, two CNN based models were successfully trained, a Faster R-CNN that achieved a 96% correct detected of all regions with an MAE of 39 pixels, and a U-Net that achieved a DICE of 0.7547. © Springer Nature Switzerland AG 2020.

2020

Configurable External Defibrillator Devoted to Education and Clinical Trials

Authors
Santos, VDN; Candido Santos, JC; Fonseca Ferreira, NMF;

Publication
BIODEVICES: PROCEEDINGS OF THE 13TH INTERNATIONAL JOINT CONFERENCE ON BIOMEDICAL ENGINEERING SYSTEMS AND TECHNOLOGIES, VOL 1: BIODEVICES, 2020

Abstract
External defibrillators are recognized effective to revert ventricular fibrillation and pulseless ventricular tachycardia. This paper presents a new settable defibrillator, designed to assess the effectiveness of the following defibrillation waveforms during clinical trials: monophasic damped sinusoidal (MDS); biphasic truncated exponential (BTE) and rectilinear biphasic waveform (RBW). The device flexibility allows the setting of the defibrillation waveforms most relevant parameters, namely energy and pulses duration. The device usage is also relevant in biomedical engineer and medical staff education and training programs.

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