Abstract
The present demographic trends point to an increase in aged population and chronic diseases which symptoms can be alleviated through rehabilitation. The applicability of passive 3D reconstruction for motion tracking in a rehabilitation context was explored using a stereo camera. The camera was used to acquire depth and color information from which the 3D position of predefined joints was recovered based on: kinematic relationships, anthropometrically feasible lengths and temporal consistency. Finally, a set of quantitative measures were extracted to evaluate the performed rehabilitation exercises. Validation study using data provided by a marker based as ground-truth revealed that our proposal achieved errors within the range of state-of-the-art active markerless systems and visual evaluations done by physical therapists. The obtained results are promising and demonstrate that the developed methodology allows the analysis of human motion for a rehabilitation purpose.

Abstract
We studied the problem of how to identify the most impactful papers of a scientific field, for longitudinal bibliometric analyses or systematic literature reviews' purposes. We show that using raw citation counts, the most popular approach, it is not suitable to compare papers from different periods. Other approaches, such as the use of normalized citations by the paper's exposure time, or by the annual average citations of the area, although improving the selection quality, do not lead to sufficiently homogeneous results in terms of citation counts and number of papers published per year. As an alternative, we propose a percentile citation-based method and compare it to the commonly used approaches, for the Top100, and the Top500 in a sample of 25144 papers. This sample was collected from the Scopus database, by selecting the top 10% sources titles in the period 1987-2015 in the Archaeology field. Our results show that the choice of the right normalization metric to be used in the ranking of the impact of the papers is crucial, since it may privilege certain periods, while neglecting others. Based on our results, we argue that this does not happen with our approach, the percentile method.

Abstract
The amputation is a millennial surgical intervention which occurs mainly due to accidents and wars. Actually, considering the greater of people's longevity, there was an increase in the incidence of amputations, especially because of pathologies inherent to age, modern life's habits and urban violence. As the amputation is millennial, the artifices used by the amputated people to gait adaption also are. Today there are many transfemoral prosthesis models and, thinking about that, this research has the objective of compare two prosthesis models, a mechanical (3R15, provided by the Unified Health System-SUS) and a microprocessed (C-Leg). Therefore, was performed a search for volunteers which has been using a mechanical prosthesis for at least 2 years produced by the Associacao de Assistencia a Crianca Deficiente of Pernambuco (AACD-PE). After an initial screening of volunteers, mobility and functionality tests were realized for evaluation of kinematic performance. The tests were realized in linear tracks and tracks with obstacles, based on Ottobock (R) test protocol. On average, the velocity in linear and square tracks improved of 33.33% and 36.75%, respectively, there was a decrease in the time spent in the obstacle test of 35.96% and an increase in the distance in the slop test of 21, 98%. Based on this and in the reduced number of volunteers, it is concluded, in this first moment, that the C-Leg microprocessed prosthesis is kinetically better than the mechanical prosthesis 3R15, allowing a greater quality of life for the user, but it is necessary increase the number of volunteers to have more robust results.

Abstract
This paper presents qualitative and quantitative analysis of the traveling waves induced by faults on direct current (DC) transmission lines of line-commutated converter high-voltage direct current (LCC HVDC) systems for detecting the wavefront arrival times using the boundary wavelet coefficients from real-time stationary wavelet transform (RT-SWT). The qualitative analysis takes into account the steady-state operation and the detection of the inception times of both first and second wavefronts at the converter stations. The behavior of the boundary wavelet coefficients in DC transmission lines is examined considering the effects of the main parameters that influence the detection of the traveling waves, such as mother wavelets, sampling frequency, DC transmission line terminations, electrical noises, as well as fault resistance and distance. An algorithm designed to run in real-time and able to minimize the factors that hamper the performance of traveling wave-based protection (TWP) methods is proposed to detect the first and second surge arrival times. Quantitative results are achieved based on the accuracy of one- and two-terminal fault location estimation methods, and indicate the proper operation of the presented algorithm.

Abstract
Attribute grammars are a powerfull, well-known formalism to implement and reason about programs which, by design, are conveniently modular. In this work we focus on a state of the art zipper-based embedding of classic attribute grammars and higher-order attribute grammars. We improve their execution performance through controlling attribute (re)evaluation by means of memoization techniques. We present the results of our optimizations by comparing their impact in various implementations of different, well-studied, attribute grammars and their Higher-Order extensions.

Abstract
Nowadays, the presence of renewable energy resources (RERs), electric vehicle (EV) penetration, and the implementation of demand response (DR) programs are the main affecting factors in the operational scheduling of a distribution company (DISCO). By the new market participants such as parking lot (PL) owners in the DISCO, a bi-level framework can be created for modeling the distribution network. Therefore, in this paper, a new bi-level model is suggested for DISCO's operational scheduling that involves technical and environmental terms in the objective function. The maximization of the profit of the DISCO owner and the PL owner are the objective functions in each level. These purposes depend on the customers' load, the power purchased from the upstream network, the power exchanged with the PL owner (for the upper-level) and the power exchanged with the DISCO owner, as well as the EV owners (for the lower-level). Linearization of the model is carried out by applying the Karush-Kuhn-Tucker (KKT) condition and Fortuny-Amat and McCarl linearization approach. Furthermore, EVs' and RERs' uncertainties, as well as DR programs are modeled. Also, three types of risk are described including risk-seeker, risk-neutral, and risk-averse (with conditional value-at-risk (CVaR) index). For evaluation of the proposed model, it is applied to the IEEE 15-bus test system. Results show that by charging/discharging schedule of EVs and critical peak pricing program, the DISCO owner gains more profit. Also, the sensitivity analysis allows determining that the EV penetration, nominal power of RERs and customer involvement in the DR program directly affect the DISCO owner's profit.