2020
Authors
Lima, Claudio Cleverson de; Schlemmer, Eliane; Morgado, Leonel;
Publication
EJML 2020 - 5.º Encontro sobre Jogos e Mobile Learning
Abstract
Educational activities where students do not stay at a fixed, predetermined location, has been growing in research output. The pedagogies and processes for these environments where students move are typically less documented than those of traditional classrooms. We have surveyed the areas of problems addressed by the literature on the field, and the areas of its contributions, to build a panorama of the research foci for managing learning in environments where students move. This was done by means of an exploratory literature review, followed by thematic analysis and triangulation. We established that research focuses on problems and contributions dealing with the design, creation, and deployment of these learning activities, and to a lesser degree, on problems and contributions dealing with the potential of use of technology. However, there is a lack of research focusing on other areas relevant to more widespread implementation across the educational system, namely structural, logistic, and assessment problems and contributions. This points towards a need to develop research in these areas, in order to contribute to more grounded and successful efforts to implement learning activities in environments where students move.
2020
Authors
Cantalloube, F; Farley, OJD; Milli, J; Bharmal, N; Brandner, W; Correia, C; Dohlen, K; Henning, T; Osborn, J; Por, E; Valles, MS; Vigan, A;
Publication
ASTRONOMY & ASTROPHYSICS
Abstract
Context. The wind-driven halo is a feature that is observed in images that were delivered by the latest generation of ground-based instruments that are equipped with an extreme adaptive optics system and a coronagraphic device, such as SPHERE at the Very Large Telescope (VLT). This signature appears when the atmospheric turbulence conditions vary faster than the adaptive optics loop can correct for. The wind-driven halo is observed as a radial extension of the point spread function along a distinct direction (this is sometimes referred to as the butterfly pattern). When this is present, it significantly limits the contrast capabilities of the instrument and prevents the extraction of signals at close separation or extended signals such as circumstellar disks. This limitation is consequential because it contaminates the data for a substantial fraction of the time: about 30% of the data produced by the VLT/SPHERE instrument are affected by the wind-driven halo. Aims. This paper reviews the causes of the wind-driven halo and presents a method for analyzing its contribution directly from the scientific images. Its effect on the raw contrast and on the final contrast after post-processing is demonstrated. Methods. We used simulations and on-sky SPHERE data to verify that the parameters extracted with our method can describe the wind-driven halo in the images. We studied the temporal, spatial, and spectral variation of these parameters to point out its deleterious effect on the final contrast. Results. The data-driven analysis we propose provides information to accurately describe the wind-driven halo contribution in the images. This analysis confirms that this is a fundamental limitation of the finally reached contrast performance. Conclusions. With the established procedure, we will analyze a large sample of data delivered by SPHERE in order to propose post-processing techniques that are tailored to removing the wind-driven halo.
2020
Authors
Pereira, DF; Oliveira, JF; Carravilla, MA;
Publication
INTERNATIONAL JOURNAL OF PRODUCTION ECONOMICS
Abstract
Tactical Sales and Operations Planning (S&OP) has emerged as an extension of the aggregate production planning, integrating mid-term decisions from procurement, production, distribution, and sales in a single plan. Despite the growing interest in the subject, past synthesizing research has focused more on the qualitative and procedural aspects of the topic rather than on modeling approaches to the problem. This paper conducts a review of the existing decision-making, i.e., optimization, models supporting S&OP. A holistic framework comprising the decisions involved in this planning activity is presented. The reviewed literature is arranged within the framework and grouped around different streams of literature which have been extending the aggregate production planning. Afterwards, the papers are classified according to the modeling approaches employed by past researchers. Finally, based on the characterization of the level of integration of different business functions provided by existing models, the review demonstrates that there are no synthesizing models characterizing the overall S&OP problem and that, even in the more comprehensive approaches, there is potential to include additional decisions that would be the basis for more sophisticated and proactive S&OP programs. We do expect this paper contributes to set the ground for more oriented and structured research in the field.
2020
Authors
Camanho, A; Silva, MC; Horta, IM; Barbosa, F;
Publication
EXPLORING SERVICE SCIENCE (IESS 2020)
Abstract
In recent decades, the concept of urban metabolism has been widely applied at different scales. This paper proposes an optimization model, based on Data Envelopment Analysis, for the evaluation and benchmarking of countries' metabolism. The EU-28 countries are analyzed based on economic and environmental indicators, including the resources consumed (energy and materials) and environmental pressures (GHG emissions and waste) associated with the value-added from the economic activities. The empirical results produced a ranking of countries' based on their metabolic performance underlying the creation of wealth, along with the targets for the countries with lower metabolic performance. This new metabolic approach is a contribution to the design of policies for the promotion of sustainable and resilient services.
2020
Authors
Lopes Ferreira, M; Canas Ferreira, J;
Publication
Field Programmable Gate Arrays (FPGAs) II
Abstract
2020
Authors
Biro, P; Gyetvai, M; Klimentova, X; Pedroso, JP; Pettersson, W; Viana, A;
Publication
ECMS 2020 Proceedings edited by Mike Steglich, Christian Mueller, Gaby Neumann, Mathias Walther
Abstract
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