2 Search Results for "Martins, Alexandre"

Document
DOI: 10.4230/OASIcs.ICPEC.2023.3
LCSMAR, an AR Based Tool to Inspect Imperative Programs

Authors: Luis Carlos Martins, Lázaro Vinicius Lima, and Pedro Rangel Henriques

Published in: OASIcs, Volume 112, 4th International Computer Programming Education Conference (ICPEC 2023)

Abstract
LCSMAR is a Learning Resource that takes advantage of Augmented Reality in order to promote the development of Computational Thinking among students who are starting to dive in to the world of computer programming. Students can write code in a imperative programming language and, with the help of their mobile phone, they can visualize and analyze the execution of the code they developed, seeing how variable and data structures change over time with each instruction. Augmented Reality tools allow the visualization of abstract concepts that are often misunderstood and that cause misconception among students, which in term should help students develop the abilities to understand and use these abstract concepts, such as data structures, in other areas of application.
Cite as

Luis Carlos Martins, Lázaro Vinicius Lima, and Pedro Rangel Henriques. LCSMAR, an AR Based Tool to Inspect Imperative Programs. In 4th International Computer Programming Education Conference (ICPEC 2023). Open Access Series in Informatics (OASIcs), Volume 112, pp. 3:1-3:9, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2023)

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@InProceedings{martins_et_al:OASIcs.ICPEC.2023.3,
  author =	{Martins, Luis Carlos and Lima, L\'{a}zaro Vinicius and Henriques, Pedro Rangel},
  title =	{{LCSMAR, an AR Based Tool to Inspect Imperative Programs}},
  booktitle =	{4th International Computer Programming Education Conference (ICPEC 2023)},
  pages =	{3:1--3:9},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-290-7},
  ISSN =	{2190-6807},
  year =	{2023},
  volume =	{112},
  editor =	{Peixoto de Queir\'{o}s, Ricardo Alexandre and Teixeira Pinto, M\'{a}rio Paulo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2023.3},
  URN =		{urn:nbn:de:0030-drops-184994},
  doi =		{10.4230/OASIcs.ICPEC.2023.3},
  annote =	{Keywords: Augmented Reality, Learning Resources, Computer Programming, Computational Thinking}
}
Document
DOI: 10.4230/LIPIcs.ECRTS.2018.17
Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time

Authors: Viktor Edpalm, Alexandre Martins, Karl-Erik Årzén, and Martina Maggio

Published in: LIPIcs, Volume 106, 30th Euromicro Conference on Real-Time Systems (ECRTS 2018)

Abstract
This paper describes a method to compute frame size estimates to be used in quasi Worst-Case Transmission Times (qWCTT) for cameras that transmit frames over IP-based communication networks. The precise determination of qWCTT allows us to model the network access scheduling problem as a multiframe problem and to re-use theoretical results for network scheduling. The paper presents a set of experiments, conducted in an industrial testbed, that validate the qWCTT estimation. We believe that a more precise estimation will lead to savings for network infrastructure and to better network utilization.
Cite as

Viktor Edpalm, Alexandre Martins, Karl-Erik Årzén, and Martina Maggio. Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time. In 30th Euromicro Conference on Real-Time Systems (ECRTS 2018). Leibniz International Proceedings in Informatics (LIPIcs), Volume 106, pp. 17:1-17:22, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2018)

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@InProceedings{edpalm_et_al:LIPIcs.ECRTS.2018.17,
  author =	{Edpalm, Viktor and Martins, Alexandre and \r{A}rz\'{e}n, Karl-Erik and Maggio, Martina},
  title =	{{Camera Networks Dimensioning and Scheduling with Quasi Worst-Case Transmission Time}},
  booktitle =	{30th Euromicro Conference on Real-Time Systems (ECRTS 2018)},
  pages =	{17:1--17:22},
  series =	{Leibniz International Proceedings in Informatics (LIPIcs)},
  ISBN =	{978-3-95977-075-0},
  ISSN =	{1868-8969},
  year =	{2018},
  volume =	{106},
  editor =	{Altmeyer, Sebastian},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/LIPIcs.ECRTS.2018.17},
  URN =		{urn:nbn:de:0030-drops-89869},
  doi =		{10.4230/LIPIcs.ECRTS.2018.17},
  annote =	{Keywords: worst-case transmission time, H.264, bandwidth estimation, video compression, network access scheduling, multiframe model, camera network}
}
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