959 research outputs found
Práctica de desarrollo de interfaces hardware/software para la monitorización del estado de un PC
Este artículo presenta una práctica laboratorio impartida
mediante una metodología de aprendizaje basado
en proyectos (ABP) [1] para dotar de la capacidad de
diseñar y desarrollar un monitor del estado de un
ordenador, integrado en un sistema empotrado que se
comunica con una aplicación de escritorio, a nuestros
alumnos de la asignatura de Diseño de Microcontroladores
(DM) en el contexto del Máster en Ingeniería
de Computadores y Redes.
Esta práctica abarca la comunicación Hardware/
Software entre un microcontrolador con un núcleo
Cortex-M4 y una aplicación software escrita en
lenguaje C# usando el entorno Visual Studio Community
2015 a través de puertos series virtuales
(VCP). Esta práctica está enfocada como un proyecto
que los alumnos han de ir realizando desde cero,
avanzando mediante la consecución de hitos, hasta
conseguir obtener un sistema final. El sistema a
desarrollar se divide en dos partes, por un lado tenemos
un PC con un sistema operativo de la familia
Windows, en el que se construye una aplicación
visual mediante Windows Forms, la cual obtiene
información del sistema de forma periódica y la envía
al microcontrolador mediante comandos usando el
puerto serie (USB o comunicación Bluetooth). Por
otro lado tenemos un microcontrolador de la familia
STM32 que dispone de un display LCD ejecutando
una plataforma completamente libre, .NET Micro
Framework, la cual recibe a través del puerto serie la
información obtenida gracias a la aplicación software
del PC y la muestra en la pantalla, obteniendo así una
herramienta de monitorización del PC sin tener que
estar conectado físicamente a éste.
El desarrollo de este tipo de proyectos se añade la
dificultad de la necesidad del uso de diferentes
herramientas para el desarrollo del firmware y del
software en paralelo, de manera incremental, y
enfocadas para ámbitos de uso muy distintos.
Esta práctica ha tenido una gran acogida por parte de los alumnos, ya que les ha servido de ejemplo del
desarrollo de firmware para un microcontrolador
usando la plataforma .NET MF y de su comunicación
con el PC por medio de una aplicación visual.This manuscript presents a practical laboratory session
imparted using a project-based learning methodology
(PBL) to provide the capacity of designing and
developing a computer status monitoring device,
integrated in an embedded system that communicates
with a desktop software tool, to our students in the
Computer Engineering Master’s Degree.
This practice session encompasses Hardware/
Software communication between a microcontroller
with a Cortex-M4 kernel and a desktop software
application through virtual COM ports (VCP)
written in C# using Visual Studio Community 2015.
This lab session is focused as a project that students
must be making from scratch by achieving and completing
some milestones to obtain a final functional
system. The project is divided into two different parts.
First, we have a Windows PC where a visual software
application that gathers information from the system
and sends it periodically to the microcontroller (USB
or Bluetooth) has to be built using Windows Forms.
On the other hand, we have a microcontroller from
the STM32 family that has a 2.4’ LCD display executing
.NET Micro Framework that receives the
information obtained from the PC through the serial
port and displays it in the screen. This way, students
create a computer status monitoring tool that does not
need to be connected physically to it to receive the
information.
The development of this project is added to the
need of using different tools for firmware and software
development, focused to very different fields of
use. This practice has been well received by the
students, because it has served as an example of the
firmware development for a microcontroller using the
.NET MF platform as well as the communication between the PC and the microcontroller using a visual
software application
Real-time detection of uncalibrated sensors using Neural Networks
Nowadays, sensors play a major role in several contexts like science,
industry and daily life which benefit of their use. However, the retrieved
information must be reliable. Anomalies in the behavior of sensors can give
rise to critical consequences such as ruining a scientific project or
jeopardizing the quality of the production in industrial production lines. One
of the more subtle kind of anomalies are uncalibrations. An uncalibration is
said to take place when the sensor is not adjusted or standardized by
calibration according to a ground truth value. In this work, an online
machine-learning based uncalibration detector for temperature, humidity and
pressure sensors was developed. This solution integrates an Artificial Neural
Network as main component which learns from the behavior of the sensors under
calibrated conditions. Then, after trained and deployed, it detects
uncalibrations once they take place. The obtained results show that the
proposed solution is able to detect uncalibrations for deviation values of 0.25
degrees, 1% RH and 1.5 Pa, respectively. This solution can be adapted to
different contexts by means of transfer learning, whose application allows for
the addition of new sensors, the deployment into new environments and the
retraining of the model with minimum amounts of data
Live Demonstration:Neuromorphic Sensory Integration for Combining Sound Source Localization and Collision Avoidance
The brain is able to solve complex tasks in real time by combining different sensory cues with previously acquired knowledge. Inspired by the brain, we designed a neuromorphic demonstrator which combines auditory and visual input to find an obstacle free direction closest to the sound source. The system consists of two event-based sensors (the eDVS for vision and the NAS for audition) mounted onto a pan-tilt unit and a spiking neural network implemented on the SpiNNaker platform. By combining the different sensory information, the demonstrator is able to point at a sound source direction while avoiding obstacles in real time
Struma Ovarii associated with Pseudo-Meigs Syndrome and elevated serum Ca 125: Case report and literature review
Struma Ovarii is a highly specialized monodermal teratoma in which the major component is thyroid tissue. Its relationship with Pseudo Meigs syndrome, hyperthyroidism and elevation of Ca 125 is a rare condition; this could mimic malignancy. Ultrasound and axial tomography may be useful in diagnosis; but histopathological criteria play a very important role in the definitive diagnosis. Our objective is to present a case report of Struma ovarii, ascites, pleural effusion (pseudo meigs syndrome), elevation of Ca 125, hyperthyroidism, and review the published literature in relation to epidemiology and diagnostic characteristics
Partially coherent surface plasmon modes
Elementary long-range plasmon modes are described assuming an exponential dependence of the refractive index in the neighbourhood of the interface dielectric-metal thin film. The study is performed using coupling mode theory. The interference between two long-range plasmon modes generated that way allows the synthesis of surface sinusoidal plasmon modes, which can be considered as completely coherent generalized plasmon modes. These sinusoidal plasmon modes are used for the synthesis of new partially coherent surface plasmon modes, which are obtained by means of an incoherent superposition of sinusoidal plasmon modes where the period of each one is considered as a random variable. The kinds of surface modes generated have an easily tuneable profile controlled by means of the probability density function associated to the period. We show that partially coherent plasmon modes have the remarkable property to control the length of propagation which is a notable feature respect to the completely coherent surface plasmon mode. The numerical simulation for sinusoidal, Bessel, Gaussian and Dark Hollow plasmon modes are presente
Searching for transits in the Wide Field Camera Transit Survey with difference-imaging light curves
The Wide Field Camera Transit Survey is a pioneer program aiming at for searching extra-solar planets in the near-infrared. The images from the survey are processed by a data reduction pipeline, which uses aperture photometry to construct the light curves. We produce an alternative set of light curves using the difference-imaging method for the most complete field in the survey and carry out a quantitative comparison between the photometric precision achieved with both methods. The results show that differencephotometry light curves present an important improvement for stars with J > 16. We report an implementation on the box-fitting transit detection algorithm, which performs a trapezoid-fit to the folded light curve, providing more accurate results than the boxfitting model. We describe and optimize a set of selection criteria to search for transit candidates, including the V-shape parameter calculated by our detection algorithm. The optimized selection criteria are applied to the aperture photometry and difference-imaging light curves, resulting in the automatic detection of the best 200 transit candidates from a sample of ~475 000 sources. We carry out a detailed analysis in the 18 best detections and classify them as transiting planet and eclipsing binary candidates. We present one planet candidate orbiting a late G-type star. No planet candidate around M-stars has been found, confirming the null detection hypothesis and upper limits on the occurrence rate of short-period giant planets around M-dwarfs presented in a prior study. We extend the search for transiting planets to stars with J ≤ 18, which enables us to set a stricter upper limit of 1.1%. Furthermore, we present the detection of five faint extremely-short period eclipsing binaries and three M-dwarf/M-dwarf binary candidates. The detections demonstrate the benefits of using the difference-imaging light curves, especially when going to fainter magnitudes.Peer reviewe
Measurement of the cross-section and charge asymmetry of bosons produced in proton-proton collisions at TeV with the ATLAS detector
This paper presents measurements of the and cross-sections and the associated charge asymmetry as a
function of the absolute pseudorapidity of the decay muon. The data were
collected in proton--proton collisions at a centre-of-mass energy of 8 TeV with
the ATLAS experiment at the LHC and correspond to a total integrated luminosity
of 20.2~\mbox{fb^{-1}}. The precision of the cross-section measurements
varies between 0.8% to 1.5% as a function of the pseudorapidity, excluding the
1.9% uncertainty on the integrated luminosity. The charge asymmetry is measured
with an uncertainty between 0.002 and 0.003. The results are compared with
predictions based on next-to-next-to-leading-order calculations with various
parton distribution functions and have the sensitivity to discriminate between
them.Comment: 38 pages in total, author list starting page 22, 5 figures, 4 tables,
submitted to EPJC. All figures including auxiliary figures are available at
https://atlas.web.cern.ch/Atlas/GROUPS/PHYSICS/PAPERS/STDM-2017-13
Search for chargino-neutralino production with mass splittings near the electroweak scale in three-lepton final states in √s=13 TeV pp collisions with the ATLAS detector
A search for supersymmetry through the pair production of electroweakinos with mass splittings near the electroweak scale and decaying via on-shell W and Z bosons is presented for a three-lepton final state. The analyzed proton-proton collision data taken at a center-of-mass energy of √s=13 TeV were collected between 2015 and 2018 by the ATLAS experiment at the Large Hadron Collider, corresponding to an integrated luminosity of 139 fb−1. A search, emulating the recursive jigsaw reconstruction technique with easily reproducible laboratory-frame variables, is performed. The two excesses observed in the 2015–2016 data recursive jigsaw analysis in the low-mass three-lepton phase space are reproduced. Results with the full data set are in agreement with the Standard Model expectations. They are interpreted to set exclusion limits at the 95% confidence level on simplified models of chargino-neutralino pair production for masses up to 345 GeV
Measurement of the Forward-Backward Asymmetry in the B -> K(*) mu+ mu- Decay and First Observation of the Bs -> phi mu+ mu- Decay
We reconstruct the rare decays , , and in a data sample
corresponding to collected in collisions at
by the CDF II detector at the Fermilab Tevatron
Collider. Using and decays we report the branching ratios. In addition, we report
the measurement of the differential branching ratio and the muon
forward-backward asymmetry in the and decay modes, and the
longitudinal polarization in the decay mode with respect to the squared
dimuon mass. These are consistent with the theoretical prediction from the
standard model, and most recent determinations from other experiments and of
comparable accuracy. We also report the first observation of the {\mathcal{B}}(B^0_s \to
\phi\mu^+\mu^-) = [1.44 \pm 0.33 \pm 0.46] \times 10^{-6}27 \pm 6B^0_s$ decay observed.Comment: 7 pages, 2 figures, 3 tables. Submitted to Phys. Rev. Let
Measurements of the properties of Lambda_c(2595), Lambda_c(2625), Sigma_c(2455), and Sigma_c(2520) baryons
We report measurements of the resonance properties of Lambda_c(2595)+ and
Lambda_c(2625)+ baryons in their decays to Lambda_c+ pi+ pi- as well as
Sigma_c(2455)++,0 and Sigma_c(2520)++,0 baryons in their decays to Lambda_c+
pi+/- final states. These measurements are performed using data corresponding
to 5.2/fb of integrated luminosity from ppbar collisions at sqrt(s) = 1.96 TeV,
collected with the CDF II detector at the Fermilab Tevatron. Exploiting the
largest available charmed baryon sample, we measure masses and decay widths
with uncertainties comparable to the world averages for Sigma_c states, and
significantly smaller uncertainties than the world averages for excited
Lambda_c+ states.Comment: added one reference and one table, changed order of figures, 17
pages, 15 figure
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