Rubén Muñiz

Dr. Rubén Muñiz

Computer Science, University of Oviedo, Oviedo, Asturias, Spain
orcid

Research Focus & Metrics

Academic Career Length

24Years (2003-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 January 2003
Verified
Conference Paper
Closed access
RMRubén Muñiz
Rubén Muñiz
LJL. Junco
L. Junco
AOA. Otero
A. Otero

1 March 2020 in Journal of Food Composition and Analysis
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Journal Article
Closed access
RMRubén Muñiz
Rubén Muñiz
MCMaría Cuevas-Valdés
María Cuevas-Valdés
BRBegoña de la Roza-Delgado
Begoña de la Roza-Delgado

11 January 2024 in Electronics
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Journal Article
Open access
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RMRubén Muñiz
Rubén Muñiz
RCRaul del Coso
Raul del Coso
Fernando NuñoFernando Nuño
Fernando Nuño
Pedro Villegas SaizPedro Villegas Saiz
Pedro Villegas Saiz
DÁDaniel Álvarez
Daniel Álvarez
JMJuan Martinez
Juan Martinez
The increasing demand for energy-efficient and sustainable solutions in the building sector has driven the need for innovative approaches that integrate renewable energy sources and advanced control systems. This paper presents an integrated energy management solution for solar-powered smart buildings, combining a multifaceted physical system with advanced IoT- and cloud-based control systems. The physical system includes a heat pump, photovoltaics, solar thermal panels, and an innovative low-enthalpy radiant wall and ceiling, providing self-sufficient heating and cooling. The control system makes use of advanced IoT and communication engineering technologies, using Modbus, HTTP, and MQTT protocols for seamless interconnectivity, monitoring, and remote management. The successful implementation of this solution in an average-sized model house in Paris and a deep energy retrofit of a semidetached single-family house in Oviedo, northern Spain, demonstrates increased energy efficiency, improved thermal comfort, and reduced environmental impact compared with conventional alternatives. This study illustrates the potential of integrating solar energy, IoT, and communication technologies into smart buildings, contributing to the global effort to reduce the environmental impact of the building sector.

22 September 2021 in Monthly Notices of the Royal Astronomical Society
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Journal Article
Closed access
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ACA Castro-González
A Castro-González
EAE Díez Alonso
E Díez Alonso
JBJ Menéndez Blanco
J Menéndez Blanco
JLJ Livingston
J Livingston
JLJ P de Leon
J P de Leon
FJF J de Cos Juez
F J de Cos Juez
We present the first results of K2-OjOS, a collaborative project between professional and amateur astronomers primarily aimed to detect, characterize, and validate new extrasolar planets. For this work, 10 amateur astronomers looked for planetary signals by visually inspecting the 20 427 light curves of K2 campaign 18 (C18). They found 42 planet candidates, of which 18 are new detections and 24 had been detected in the overlapping C5 by previous works. We used archival photometric and spectroscopic observations, as well as new high-spatial resolution images in order to carry out a complete analysis of the candidates found, including a homogeneous characterization of the host stars, transit modelling, search for transit timing variations and statistical validation. As a result, we report four new planets (K2-355 b, K2-356 b, K2-357 b, and K2-358 b) and 14 planet candidates. Besides, we refine the transit ephemeris of the previously published planets and candidates by modelling C5, C16 (when available) and C18 photometric data jointly, largely improving the period and mid-transit time precision. Regarding individual systems, we highlight the new planet K2-356 b and candidate EPIC 211537087.02 being near a 2:1 period commensurability, the detection of significant TTVs in the bright star K2-184 (V = 10.35), the location of K2-103 b inside the habitable zone according to optimistic models, the detection of a new single transit in the known system K2-274, and the disposition reassignment of K2-120 b, which we consider as a planet candidate as the origin of the signal cannot be ascertained.

15 September 2020 in Monthly Notices of the Royal Astronomical Society
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Journal Article
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AGA Castro González
A Castro González
EAE Díez Alonso
E Díez Alonso
JBJ Menéndez Blanco
J Menéndez Blanco
JLJohn H Livingston
John H Livingston
JLJerome P de Leon
Jerome P de Leon
FJF J de Cos Juez
F J de Cos Juez
We analysed the photometry of 20 038 cool stars from campaigns 12, 13, 14, and 15 of the K2 mission in order to detect, characterize, and validate new planetary candidates transiting low-mass stars. We present a catalogue of 25 new periodic transit-like signals in 22 stars, of which we computed the parameters of the stellar host for 19 stars and the planetary parameters for 21 signals. We acquired speckle and AO images, and also inspected archival Pan-STARRS1 images and Gaia DR2 to discard the presence of close stellar companions and to check possible transit dilutions due to nearby stars. False positive probability (FPP) was computed for 22 signals, obtaining FPP < $1{{\ \rm per\ cent}}$ for 17. We consider 12 of them as statistically validated planets. One signal is a false positive and the remaining 12 signals are considered as planet candidates. 20 signals have an orbital period of P$_{\rm orb} \lt 10\,\mathrm{ d}$, 2 have $10\, \mathrm{ d} \lt $ P$_{\rm orb} \lt 20\, \mathrm{ d}$, and 3 have P$_{\rm orb} \gt 20\, \mathrm{ d}$. Regarding radii, 11 candidates and validated planets have computed radius R < 2R⊕, 9 have 2R⊕ < R < 4R⊕, and 1 has R > 4R⊕. Two validated planets and two candidates are located in moderately bright stars ($\rm \mathit{ m}_{kep}\lt 13$) and two validated planets and three candidates have derived orbital radius within the habitable zone according to optimistic models. Of special interest is the validated warm super-Earth K2-323 b (EPIC 248616368 b) with T$_{\rm eq} = 318^{+24}_{-43} \, \mathrm{ K}$, S$_{\rm p} = 1.7\pm 0.2 \, \mathrm{ S}_{\oplus }$, and R$_{\rm p} = 2.1\pm 0.1 \, \mathrm{ R}_{\oplus }$, located in an m$\rm _{kep}$ = 14.13 star.

2 November 2022 in The Journal of Supercomputing
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Journal Article
Open access
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RMRubén Muñiz
Rubén Muñiz
Fernando NuñoFernando Nuño
Fernando Nuño
JGJuan Diaz gonzalez
Juan Diaz gonzalez
MBMARÍA GONZÁLEZ BUSTO
MARÍA GONZÁLEZ BUSTO
MPMiguel J. Prieto
Miguel J. Prieto
ÓMÓliver Menéndez
Óliver Menéndez
Predictive maintenance has revealed as one of the paradigms of Industry 4.0. This paper addresses a complete system for the acquisition, computing, monitoring and communication of ventilation equipment in underground tunnels based on TCP/IP protocol and accessible via WEB services. Not only does the proposed system collect different sensor data (temperatures, vibrations, pressures, tilt angles or rotational speed), it performs local data processing as well. This feature is the newest and most important of all those provided by the system design, and there is no equipment that offers a similar performance in current ventilation systems. This paper shows the design and implementation of the equipment (system architecture and processing), as well as the experimental results obtained.