2016
Authors
Santos, PM; Ferreira, JC; Matos, JS;
Publication
JOURNAL OF REAL-TIME IMAGE PROCESSING
Abstract
We present the disparity map computation core of a hardware system for isolating foreground objects in stereoscopic video streams. The operation is based on the computation of dense disparity maps using block-matching algorithms and two well-known metrics: sum of absolute differences and Census transform. Two sets of disparity maps are computed by taking each of the images as reference so that a consistency check can be performed to identify occluded pixels and eliminate spurious foreground pixels. Taking advantage of parallelism, the proposed architecture is highly scalable and provides numerous degrees of adjustment to different application needs, performance levels and resource usage. A version of the system for 640 x 480 images and a maximum disparity of 135 pixels was implemented in a system based on a Xilinx Virtex II-Pro FPGA and two cameras with a frame rate of 25 fps (less than the maximum supported frame rate of 40 fps on this platform). Implementation of the same system on a Virtex-5 FPGA is estimated to achieve 80 fps, while a version with increased parallelism is estimated to run at 140 fps (which corresponds to the calculation of more than 5.9 x 10(9) disparity-pixels per second).
2016
Authors
Moutinho, SBG; Moura, RMM; Vasconcelos, CMdS;
Publication
Terrae Didatica
Abstract
2016
Authors
Vasconcelos Raposo, J; Soares, AR; Silva, F; Fernandes, MG; Teixeira, CM;
Publication
Estudos de Psicologia (Campinas)
Abstract
Suicide is a serious public health problem and is among the top ten causes of death worldwide for all age groups. It is the third leading cause among 15-35-year olds. The main objective of this quasi-experimental, quantitative, and cross-sectional study was to compare the levels of suicidal ideation among college students (n = 50) and nonstudents (n = 51). Subjects were compared according to sex, age, place of residence, living arrangements, educational level, and occupational status using the Suicidal Ideation Questionnaire. The sample consisted of 101 individuals aged 18- 25 years, Mean of 21.44 years and Standard Deviation of 2.43. The results showed higher levels of suicidal ideation among the non-college students. Statistically significant effects were found among the following variables: level of education, occupational status, living alone, and presence of anxiety disorder and/or depression. The findings of this study suggest the need for suicide prevention measures in order to reduce deaths by suicide and suicide attempt rate.
2016
Authors
Rocha, Á; Reis, LP; Cota, MP; Suárez, OS; Gonçalves, R;
Publication
Iberian Conference on Information Systems and Technologies, CISTI
Abstract
2016
Authors
Gomes, R; Duarte, C; Pedro, JC;
Publication
2016 13TH INTERNATIONAL SYMPOSIUM ON WIRELESS COMMUNICATION SYSTEMS (ISWCS)
Abstract
This paper presents the analysis of switching-current (SC) and switching-resistance (SR) modes of operation in digital power amplifiers (DPAs). Large output power back-off (PBO) generally shifts the DPA from SR to SC operation. Hence, an analytical study is performed to characterize these regimes. A current-mode class-D architecture has been used to implement a DPA in which both operation conditions were examined. Two mechanisms were addressed to study the AM-AM performance of the DPA, namely the knee voltage and the output resistance of the transistor. To evaluate the impact of these parameters in the AM-AM profile, we proposed a simplified transistor model in which both parameters can be defined independently without affecting each other. This allowed us to isolate and determine the effects in the AM-AM distortion, helping to conclude that the output resistance turns out to be the most dominant parameter. The study has been validated using simulations in Spectre RF with three different CMOS process nodes (130, 65, and 45nm).
2016
Authors
Raza, M; Faria, JP;
Publication
JOURNAL OF SOFTWARE-EVOLUTION AND PROCESS
Abstract
High-maturity software development processes, such as the Team Software Process and the accompanying Personal Software Process (PSP), can generate significant amounts of data that can be periodically analyzed to identify performance problems, determine their root causes, and devise improvement actions. However, there is a lack of tool support for automating that type of analysis, and hence diminish the manual effort and expert knowledge required. So, we propose in this paper a comprehensive performance model, addressing time estimation accuracy, quality, and productivity, to enable the automated (tool based) analysis of performance data produced by PSP developers, namely, identify and rank performance problems and their root causes. A PSP data set referring to more than 30000 projects was used to validate and calibrate the model. Copyright (c) 2015 John Wiley & Sons, Ltd.
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