3 Search Results for "Ferreira, Vítor"

Document
Short Paper
DOI: 10.4230/OASIcs.ICPEC.2021.12
A System Architecture to Detect and Block Unwanted Wireless Signals in a Classroom (Short Paper)

Authors: Daniel Barros, Paulo Barros, Emanuel Lomba, Vítor Ferreira, and Pedro Pinto

Published in: OASIcs, Volume 91, Second International Computer Programming Education Conference (ICPEC 2021)

Abstract
The actual learning process in a school, college or university should take full advantage of the digital transformation. Computers, mobile phones, tablets or other electronic devices can be used in learning environments to improve learning experience and students performance. However, in a university campus, there are some activities where the use of connected devices, might be discouraged or even forbidden. Students should be discouraged to use their own devices in classes where they may become alienated or when their devices may cause any disturbance. Ultimately, their own devices should be forbidden in activities such as closed-book exams. This paper proposes a system architecture to detect or block unwanted wireless signals by students' mobile phones in a classroom. This architecture focuses on specific wireless signals from Wi-Fi and Bluetooth interfaces, and it is based on Software-Defined Radio (SDR) modules and a set of antennas with two configuration modes: detection mode and blocking mode. When in the detection mode, the architecture processes signals from the antennas, detects if there is any signal from Wi-Fi or Bluetooth interfaces and infers a position of the unwanted mobile device. In the blocking mode, the architecture generates noise in the same frequency range of Wi-Fi or Bluetooth interfaces, blocking any possible connection. The proposed architecture is designed to be used by professors to detect or block unwanted wireless signals from student devices when supervising closed-book exams, during specific periods of time.
Cite as

Daniel Barros, Paulo Barros, Emanuel Lomba, Vítor Ferreira, and Pedro Pinto. A System Architecture to Detect and Block Unwanted Wireless Signals in a Classroom (Short Paper). In Second International Computer Programming Education Conference (ICPEC 2021). Open Access Series in Informatics (OASIcs), Volume 91, pp. 12:1-12:7, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2021)

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@InProceedings{barros_et_al:OASIcs.ICPEC.2021.12,
  author =	{Barros, Daniel and Barros, Paulo and Lomba, Emanuel and Ferreira, V{\'\i}tor and Pinto, Pedro},
  title =	{{A System Architecture to Detect and Block Unwanted Wireless Signals in a Classroom}},
  booktitle =	{Second International Computer Programming Education Conference (ICPEC 2021)},
  pages =	{12:1--12:7},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-194-8},
  ISSN =	{2190-6807},
  year =	{2021},
  volume =	{91},
  editor =	{Henriques, Pedro Rangel and Portela, Filipe and Queir\'{o}s, Ricardo and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2021.12},
  URN =		{urn:nbn:de:0030-drops-142287},
  doi =		{10.4230/OASIcs.ICPEC.2021.12},
  annote =	{Keywords: campus, classroom, closed-book exam, fraud, wireless, detection, blocking, Software-Defined Radio}
}
Document
DOI: 10.4230/OASIcs.ICPEC.2020.8
The Use of ARM-Assembly Language and a Raspberry Pi 1 B+ as a Server to Improve Computer Architecture Skills

Authors: Vitor Manuel Ferreira, Pedro Pinto, Sara Paiva, and Maria José Azevedo Brito

Published in: OASIcs, Volume 81, First International Computer Programming Education Conference (ICPEC 2020)

Abstract
Prompting students' interest and engagement in learning environments is crucial to achieve the best results. Academia and educators in general are constantly adapting materials and methodologies in order to maximise the acquisition of contents by their students. In this case-study, a new teaching/learning methodology is presented and evaluated through a final questionnaire survey. This case-study aims to understand students' efficiency and motivation levels regarding a new teaching/learning methodology adopted in the second module of a Computer Systems and Architectures course attended by first-year Computer Sciences undergraduates. The new teaching/learning methodology relies on a specific programming language - ARMv6 assembly - to improve students' efficiency levels, and an innovative always-visible in-class mobile test scenario, implemented through a low-cost computing platform - Raspberry Pi 1 B+ - as a server, mimicking as much as possible a real-life environment, so that students believe they are working on real hardware, thus enhancing their motivation levels. The results of the questionnaire survey allowed to infer that the use of a specific programming language, such as ARMv6 assembly, coupled with a new always-visible in-class mobile test scenario were in fact efficient in raising the levels of motivation among Computer Sciences students and, consequently, improved their skills in Computer Architecture.
Cite as

Vitor Manuel Ferreira, Pedro Pinto, Sara Paiva, and Maria José Azevedo Brito. The Use of ARM-Assembly Language and a Raspberry Pi 1 B+ as a Server to Improve Computer Architecture Skills. In First International Computer Programming Education Conference (ICPEC 2020). Open Access Series in Informatics (OASIcs), Volume 81, pp. 8:1-8:11, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2020)

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@InProceedings{ferreira_et_al:OASIcs.ICPEC.2020.8,
  author =	{Ferreira, Vitor Manuel and Pinto, Pedro and Paiva, Sara and Brito, Maria Jos\'{e} Azevedo},
  title =	{{The Use of ARM-Assembly Language and a Raspberry Pi 1 B+ as a Server to Improve Computer Architecture Skills}},
  booktitle =	{First International Computer Programming Education Conference (ICPEC 2020)},
  pages =	{8:1--8:11},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-153-5},
  ISSN =	{2190-6807},
  year =	{2020},
  volume =	{81},
  editor =	{Queir\'{o}s, Ricardo and Portela, Filipe and Pinto, M\'{a}rio and Sim\~{o}es, Alberto},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.ICPEC.2020.8},
  URN =		{urn:nbn:de:0030-drops-122955},
  doi =		{10.4230/OASIcs.ICPEC.2020.8},
  annote =	{Keywords: ARM-assembly language, Raspberry Pi, always-visible in-class mobile test scenario, Computer Architecture skills, students' efficiency and motivation levels evaluation}
}
Document
DOI: 10.4230/OASIcs.SLATE.2019.13
Knowledge Representation of Crime-Related Events: a Preliminary Approach

Authors: Gonçalo Carnaz, Vitor Beires Nogueira, and Mário Antunes

Published in: OASIcs, Volume 74, 8th Symposium on Languages, Applications and Technologies (SLATE 2019)

Abstract
The crime is spread in every daily newspaper, and particularly on criminal investigation reports produced by several Police departments, creating an amount of data to be processed by Humans. Other research studies related to relation extraction (a branch of information retrieval) in Portuguese arisen along the years, but with few extracted relations and several computer methods approaches, that could be improved by recent features, to achieve better performance results. This paper aims to present the ongoing work related to SEM (Simple Event Model) ontology population with instances retrieved from crime-related documents, supported by an SVO (Subject, Verb, Object) algorithm using hand-crafted rules to extract events, achieving a performance measure of 0.86 (F-Measure).
Cite as

Gonçalo Carnaz, Vitor Beires Nogueira, and Mário Antunes. Knowledge Representation of Crime-Related Events: a Preliminary Approach. In 8th Symposium on Languages, Applications and Technologies (SLATE 2019). Open Access Series in Informatics (OASIcs), Volume 74, pp. 13:1-13:8, Schloss Dagstuhl – Leibniz-Zentrum für Informatik (2019)

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@InProceedings{carnaz_et_al:OASIcs.SLATE.2019.13,
  author =	{Carnaz, Gon\c{c}alo and Nogueira, Vitor Beires and Antunes, M\'{a}rio},
  title =	{{Knowledge Representation of Crime-Related Events: a Preliminary Approach}},
  booktitle =	{8th Symposium on Languages, Applications and Technologies (SLATE 2019)},
  pages =	{13:1--13:8},
  series =	{Open Access Series in Informatics (OASIcs)},
  ISBN =	{978-3-95977-114-6},
  ISSN =	{2190-6807},
  year =	{2019},
  volume =	{74},
  editor =	{Rodrigues, Ricardo and Janou\v{s}ek, Jan and Ferreira, Lu{\'\i}s and Coheur, Lu{\'\i}sa and Batista, Fernando and Gon\c{c}alo Oliveira, Hugo},
  publisher =	{Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
  address =	{Dagstuhl, Germany},
  URL =		{https://drops-dev.dagstuhl.de/entities/document/10.4230/OASIcs.SLATE.2019.13},
  URN =		{urn:nbn:de:0030-drops-108809},
  doi =		{10.4230/OASIcs.SLATE.2019.13},
  annote =	{Keywords: SEM Ontology, Relation Extraction, Crime-Related Events, SVO Algorithm, Ontology Population}
}
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