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Träfflista för sökning "WFRF:(Lima Gustavo) ;hsvcat:2"

Search: WFRF:(Lima Gustavo) > Engineering and Technology

  • Result 1-5 of 5
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1.
  • Lima, Natercia, et al. (author)
  • The VISIR+ project-helping contextualize math in an engineering course
  • 2017
  • In: Proceedings of 2017 4th Experiment at International Conference. - : Institute of Electrical and Electronics Engineers Inc.. - 9781538608104 ; , s. 7-12
  • Conference paper (peer-reviewed)abstract
    • The long-term goal of engineering education is to prepare students to work as engineers. Being a practical profession, laboratories play a crucial role in illustrating concepts and principles as well as improving technical skills. In the last decades the use of online resources (simulators and remote labs) has been growing, either as a complementary and/or as an alternative way of developing experimental competences. In the scope of the VISIR+ Project, this work presents the first results of a didactical implementation using simultaneously the remote laboratory VISIR (Virtual Instrument Systems in Reality), simulation and calculus in a Math Course at the Federal University of Santa Catarina (UFSC). The preliminary results indicate that the use of several resources increases students' performance, boosting their learning and competence development. © 2017 IEEE.
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2.
  • Carvacho, Gonzalo, et al. (author)
  • Postselection-Loophole-Free Bell Test Over an Installed Optical Fiber Network
  • 2015
  • In: Physical Review Letters. - : American Physical Society. - 0031-9007 .- 1079-7114. ; 115:3, s. 030503-
  • Journal article (peer-reviewed)abstract
    • Device-independent quantum communication will require a loophole-free violation of Bell inequalities. In typical scenarios where line of sight between the communicating parties is not available, it is convenient to use energy-time entangled photons due to intrinsic robustness while propagating over optical fibers. Here we show an energy-time Clauser-Horne-Shimony-Holt Bell inequality violation with two parties separated by 3.7 km over the deployed optical fiber network belonging to the University of Concepcion in Chile. Remarkably, this is the first Bell violation with spatially separated parties that is free of the postselection loophole, which affected all previous in-field long-distance energy-time experiments. Our work takes a further step towards a fiber-based loophole-free Bell test, which is highly desired for secure quantum communication due to the widespread existing telecommunication infrastructure.
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3.
  • Carine, Jaime, et al. (author)
  • Post-Measurement Adjustment of the Coincidence Window in Quantum Optics Experiments
  • 2021
  • In: IEEE Access. - : Institute of Electrical and Electronics Engineers (IEEE). - 2169-3536. ; 9, s. 94010-94016
  • Journal article (peer-reviewed)abstract
    • We report on an electronic coincidence detection circuit for quantum photonic applications implemented on a field-programmable gate array (FPGA), which records each the time separation between detection events coming from single-photon detectors. We achieve a coincidence window as narrow as 500 ps with a series of optimizations on a readily-available and affordable FPGA development board. Our implementation allows real-time visualization of coincidence measurements for multiple coincidence window widths simultaneously. To demonstrate the advantage of our high-resolution visualization, we certified the generation of polarized entangled photons by collecting data from multiple coincidence windows with minimal accidental counts, obtaining a violation of the Clauser-Horne-Shimony-Holt (CHSH) Bell inequality by more than 338 standard deviations. Our results have shown the applicability of our electronic design in the field of quantum information.
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4.
  • Lima, Natercia, et al. (author)
  • Do students really understand the difference between simulation and remote labs?
  • 2017
  • In: ACM International Conference Proceeding Series. - New York, NY, USA : Association for Computing Machinery. - 9781450353861
  • Conference paper (peer-reviewed)abstract
    • Laboratory experiments play a crucial role in engineering education as they strongly contribute to the development of important skills for the professional practice. This paper addresses a students' understanding gap between simulations and remote labs. These two resources (and namely the remote laboratory VISIR - Virtual Instrument Systems in Reality) have been commonly used on several didactical implementations, along with other didactical resources in different Engineering degrees at the Federal University of Santa Catarina and Polytechnic of Porto School of Engineering. This work, developed in the scope of the VISIR+ Project, intends to evaluate students' perceptions considering simulation and remote lab results. Quantitative and qualitative data were analyzed to better understand how deeply students realize the differences between these resources and their type of data. Preliminary results indicate that a considerable number of student's don't have a clear idea of these differences, even though sometimes they know their definition. Furthermore, this gap does not seem to differ much with the context (country, course, academic year, course content), students' final grades, teacher approach or implemented tasks. © 2017 Association for Computing Machinery.
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5.
  • Schurmann, Jonathan, et al. (author)
  • Crystal centering using deep learning in X-ray crystallography
  • 2020
  • In: 2019 53rd Asilomar Conference on Signals, Systems, and Computers. - 9781728143019 - 9781728143002 ; , s. 978-983
  • Conference paper (peer-reviewed)abstract
    • A key challenge in X-ray crystallography is to find a good point on the crystal on which to center the beam because the crystal takes radiation damage after a number of shots which significantly distort the measurements. Therefore, the beam needs to be aimed manually by an operator, which results in significant additional effort and time.This paper presents an approach toward automating the beam aiming using machine learning, training a neural network with labeled data, resulting in a more efficient system that does not rely on manual supervision to determine where to aim the beam. A range of different neural network architectures are evaluated based on the accuracy of their predictions.
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