CTM - Indexed Articles in Conferences

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    3D Model for Aesthetic Objective Evaluation after Breast Cancer Surgery using Infrared Laser Projector
    ( 2011) Jaime Cardoso ; André T. Magalhaes ; Hélder Filipe Oliveira ; João Soares ; Anténio José Moura ; Maria João Cardoso
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    3D Models for Leg Prothesis - The first step to measure the stub's fitting into a prosthetic device
    ( 2012) Pedro Costa ; Hélder Filipe Oliveira ; Filipe Magalhães ; Frederico Carpinteiro
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    3D Reconstruction of Body Parts Using RGB-D Sensors: Challenges from a Biomedical Perspective
    ( 2014) Costa,P ; Zolfagharnasab,H ; João Pedro Monteiro ; Cardoso,JS ; Hélder Filipe Oliveira
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    A 3D Simulation Framework for Safe Ambient-Assisted Home Care
    ( 2011) José Manuel Torres ; Ricardo Morla ; Rui Moreira ; Pedro Sobral ; Carlos Velasquez ; Christophe Soares
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    5.36 Gbit/s OFDM optical wireless communication link over the underwater channel
    ( 2020) João Henrique Araújo ; Luís Manuel Pessoa ; Henrique Salgado ; Pereira,F ; Joana Santos Tavares ; Kraemer,R ; 7658 ; 4760 ; 296 ; 5686
    An OFDM transmission system is reported based on a directly modulated blue LASER diode, for high bit rate under-water optical communication applications. The 256 subcarriers 16-QAM signal is transmitted over a total distance of 2.4 m underwater with an EVM lower than -28.5 dB for a 250 MHz bandwidth and -16.5 dB for a 2 GHz bandwidth, the BER being lower than the forward error corrector limit. At the maximum bandwidth of 2 GHz a transmission rate of 5.36 Gbit/s is achieved. © 2020 IEEE.
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    An accurate and interpretable model for BCCT.core
    ( 2010) Hélder Filipe Oliveira ; Jaime Cardoso ; André Magalhães ; Maria João Cardoso
    Breast Cancer Conservative Treatment (BCCT) is considered nowadays to be the most widespread form of locorregional breast cancer treatment. However, aesthetic results are heterogeneous and difficult to evaluate in a standardized way. The limited reproducibility of subjective aesthetic evaluation in BCCT motivated the research towards objective methods. A recent computer system (BCCT.core) was developed to objectively and automatically evaluate the aesthetic result of BCCT. The system is centered on a support vector machine (SVM) classifier with a radial basis function (RBF) used to predict the overall cosmetic result from features computed on a digital photograph of the patient. However, this classifier is not ideal for the interpretation of the factors being used in the prediction. Therefore, an often suggested improvement is the interpretability of the model being used to assess the overall aesthetic result. In the current work we investigate the accuracy of different interpretabl
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    Active Learning from Video Streams in a Multi-Camera Scenario
    ( 2014) Samaneh Khoshrou ; Jaime Cardoso ; Luís Filipe Teixeira
    While video surveillance systems are spreading everywhere, extracting meaningful information from what they are recording is still prohibitively expensive. There is a major effort under way in order to make this process economical by including an intelligent software that eases the burden of the system. In this paper, we introduce an incremental learning framework to classify parallel data streams generated in a multi-camera surveillance scenario. The framework exploits active learning strategies in order to interact wisely with operators to address various problems that exist in such non-stationary environments, such as concept drift and concept evolution. If we look at the problem as mining parallel streams, the framework can address learning from uneven parallel streams applying a class-based ensemble, a problem that has not been addressed before. Favourable results indicate the success of the framework.
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    An Adaptive Duty-Cycle Methodology for PV Power Maximization Using a Single Variable
    ( 2013) Vidal,AA ; Vítor Grade Tavares ; Principe,JC
    This paper presents a new methodology to maximize the power output of Photovoltaic panels (PV), based on an adaptive duty-cycle methodology. The approach embeds the DC/DC converter characteristic in the cost function, allowing an optimization based on a single measured variable. Two cost functions, and respective learning rules, are derived. The first, more complex and comprehensive, traces the ground for the second which is less computational intensive and solves stability issues and implementation difficulties. It is also demonstrated that the system is asymptotically stable around the optimum duty-cycle, in the Lyapunov sense. Both methods are compared through simulations and deviations from the optimal solution are assessed.
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    Adaptive Electrical Equalization of Optical Impairments in Coherent Optical Systems
    ( 2007) Luís Manuel Pessoa ; Henrique Salgado ; I. Darwazeh
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    Adaptive modeling of synthetic nonstationary sinusoids
    ( 2015) Marcelo Freitas Caetano ; Kafentzis,AG ; Mouchtaris,A
    Nonstationary oscillations are ubiquitous in music and speech, ranging from the fast transients in the attack of musical instruments and consonants to amplitude and frequency modulations in expressive variations present in vibrato and prosodic contours. Modeling nonstationary oscillations with sinusoids remains one of the most challenging problems in signal processing because the fit also depends on the nature of the underlying sinusoidal model. For example, frequency modulated sinusoids are more appropriate to model vibrato than fast transitions. In this paper, we propose to model nonstationary oscillations with adaptive sinusoids from the extended adaptive quasi-harmonic model (eaQHM).We generated synthetic nonstationary sinusoids with different amplitude and frequency modulations and compared the modeling performance of adaptive sinusoids estimated with eaQHM, exponentially damped sinusoids estimated with ESPRIT, and log-linear-amplitude quadratic-phase sinusoids estimated with frequency reassignment. The adaptive sinusoids from eaQHM outperformed frequency reassignment for all nonstationary sinusoids tested and presented performance comparable to exponentially damped sinusoids.
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    An Adaptive System for Underwater Wireless Power Transfer
    ( 2016) Francisco Ricardo Gonçalves ; Pereira,A ; Morais,A ; Manuel Cândido Santos ; Gomes,R ; Luís Manuel Pessoa
    In wireless power transfer systems, if the driver is not capable of dynamically adapt its own switching frequency, small environmental changes or even slight deviations in circuit parameters may prevent the complete system from working properly when the optimal resonance frequency moves towards new values. In this paper, we propose an adaptive system suitable for underwater wireless applications in sea water. The output voltage is regulated using the wireless power link, avoiding the need for additional wireless interfaces. Our complete system includes the power driver, coupling coils, rectifier, and two micro-controllers. The regulation is accomplished by digital load modulation, observable at the input by means of current sensing at the power supply. Experimental results demonstrate a class-D driver with a series-series resonant topology working in saline water, delivering power between 1.6 and 2.4 W. The regulated voltage is 7.5 V with error less than 7.2 % in the load range of 30 to 37 Omega and 6 to 10 V power supply variation. The switching frequency is adjusted within the range of 7 kHz deviation (-7%).
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    Aesthetic Evaluation After Mastectomy and Immediate Breast Reconstruction using the BCCT.core Software
    ( 2011) André T. Magalhaes ; António José Moura ; Jaime Cardoso ; Maria João Cardoso ; Hélder Filipe Oliveira
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    Aesthetic Results Evaluation of Reduction Mammaplasties in Breast Cancer Treatment
    ( 2009) Jaime Cardoso ; Giuseppe Catanuto ; Mike Dixon ; Susy Costa ; Maria João Cardoso ; Alexandre M. Munhoz ; Douglas Macmillan ; Teresa Almeida ; Conny Vrieling ; Jorgen Johansen
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    Algorithms for DSP implementation in coherent optical systems
    ( 2008) Luís Manuel Pessoa ; Henrique Salgado ; I. Darwazeh
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    Algorithms for run-time placement and routing on Virtex II Pro FPGAs
    ( 2010) Miguel L. Silva ; João Canas Ferreira
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    An all-at-once Unimodal SVM Approach for Ordinal Classification
    ( 2010) Joaquim Costa ; Ricardo Jorge Sousa ; Jaime Cardoso
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    Ambient Network Attachment
    ( 2007) Ulrike Meyer ; Teemu Rinta-aho ; Rui Lopes Campos ; Andras Mehes ; Goran Selander ; Joachim Sachs
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    Analysis of Expressiveness of Portuguese Sign Language Speakers
    ( 2015) Rodrigues,IV ; Eduardo José Pereira ; Luís Filipe Teixeira
    Nowadays, there are several communication gaps that isolate deaf people in several social activities. This work studies the expressiveness of gestures in Portuguese Sign Language (PSL) speakers and their differences between deaf and hearing people. It is a first effort towards the ultimate goal of understanding emotional and behaviour patterns among such populations. In particular, our work designs solutions for the following problems: (i) differentiation between deaf and hearing people, (ii) identification of different conversational topics based on body expressiveness, (iii) identification of different levels of mastery of PSL speakers through feature analysis. With these aims, we build up a complete and novel dataset that reveals the duo-interaction between deaf and hearing people under several conversational topics. Results show high recognition and classification rates.