Revistas
Revista:
ENTROPY
ISSN:
1099-4300
Año:
2022
Vol.:
24
N°:
5
Págs.:
669
In the era of the Internet of Things, there are many applications where numerous devices are deployed to acquire information and send it to analyse the data and make informed decisions. In these applications, the power consumption and price of the devices are often an issue. In this work, analog coding schemes are considered, so that an ADC is not needed, allowing the size and power consumption of the devices to be reduced. In addition, linear and DFT-based transmission schemes are proposed, so that the complexity of the operations involved is lowered, thus reducing the requirements in terms of processing capacity and the price of the hardware. The proposed schemes are proved to be asymptotically optimal among the linear ones for WSS, MA, AR and ARMA sources.
Revista:
ENERGIES
ISSN:
1996-1073
Año:
2021
Vol.:
14
N°:
12
Págs.:
3649
In this paper we propose a mathematical model for the fuel consumption analysis during aircraft cruise. A closed-form formula that expresses the aircraft's weight variation over time, and hence, the fuel flow rate, is obtained as a result. Furthermore, a closed-form expression of the aircraft's main performance parameters is also obtained. We compare the values of such parameters computed by using the Piano-X software and computed by using our mathematical model. Simulation results confirm that our mathematical model provides results very close to reality. Finally, the closed-form formula of the fuel flow rate provided by our model is used to improve the calculation of the carbon dioxide emissions for four example routes, which, unlike here, are usually obtained under the assumption of a constant value of the fuel flow rate.
Revista:
IEEE ACCESS
ISSN:
2169-3536
Año:
2021
Vol.:
9
Págs.:
160688 - 160696
The COVID-19 pandemic has had severe consequences on the global economy, mainly due to indiscriminate geographical lockdowns. Moreover, the digital tracking tools developed to survey the spread of the virus have generated serious privacy concerns. In this paper, we present an algorithm that adaptively groups individuals according to their social contacts and their risk level of severe illness from COVID-19, instead of geographical criteria. The algorithm is fully distributed and therefore, individuals do not know any information about the group they belong to. Thus, we present a distributed clustering algorithm for adaptive pandemic control.
Revista:
MATHEMATICS
ISSN:
2227-7390
Revista:
ENTROPY
ISSN:
1099-4300
Revista:
IEEE COMMUNICATIONS LETTERS
ISSN:
1089-7798
Año:
2019
Vol.:
23
Págs.:
773 - 776
Revista:
ENTROPY
ISSN:
1099-4300
Año:
2019
Vol.:
21
N°:
10
Págs.:
965
In this paper, we present a low-complexity coding strategy to encode (compress) finite-length data blocks of Gaussian vector sources. We show that for large enough data blocks of a Gaussian asymptotically wide sense stationary (AWSS) vector source, the rate of the coding strategy tends to the lowest possible rate. Besides being a low-complexity strategy it does not require the knowledge of the correlation matrix of such data blocks. We also show that this coding strategy is appropriate to encode the most relevant Gaussian vector sources, namely, wide sense stationary (WSS), moving average (MA), autoregressive (AR), and ARMA vector sources.
Revista:
WIRELESS NETWORKS
ISSN:
1022-0038
Año:
2019
Vol.:
25
N°:
2
Págs.:
665 - 673
This paper proposes a novel scheme for the slow block fading Gaussian multiple access relay channel inspired by the compute-and-forward (CoF) relaying strategy. The CoF relaying strategy exploits interference to obtain significantly higher rates between users in a network by decoding linear functions of the transmitted messages. Unlike other approaches in the literature, our approach is valid for any number of transmitters and, most importantly, it only requires channel state information at the receiver side, while it still attains similar or higher rates than the other approaches found in the literature.
Revista:
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS
ISSN:
1550-1477
Revista:
SENSORS
ISSN:
1424-8220
Revista:
IEEE COMMUNICATIONS LETTERS
ISSN:
1089-7798
Año:
2018
Vol.:
22
Págs.:
1754 - 1757
Revista:
ENTROPY
ISSN:
1099-4300
Revista:
ENTROPY
ISSN:
1099-4300
Revista:
SENSORS
ISSN:
1424-8220
Revista:
ENTROPY
ISSN:
1099-4300
Revista:
ENTROPY
ISSN:
1099-4300
Revista:
IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING
ISSN:
1932-4553
Año:
2013
Vol.:
7
Págs.:
163 - 174
Nacionales y Regionales
Título:
MINECO Lineas Estratégicas: Few-qubit quantum hardware, algorithms and codes, on photonic and solid-state systems - (QUANTUM)
Código de expediente:
PLEC2021-008251
Investigador principal:
Pedro Crespo Bofill
Financiador:
AGENCIA ESTATAL DE INVESTIGACION
Convocatoria:
2021 AEI Proyectos de I+D+i en líneas estratégicas
Fecha de inicio:
01/10/2021
Fecha fin:
30/09/2024
Importe concedido:
77.314,00€
Otros fondos:
-
Título:
DECALOQC: Degenerate quantum error correction and theoretical limits of time-varying quantum channels
Código de expediente:
2021-CIEN-000077-02-01
Investigador principal:
Pedro Crespo Bofill
Financiador:
DIPUTACIÓN FORAL DE GIPUZKOA
Convocatoria:
Programa Red guipuzcoana de Ciencia, Tecnología e Innovación_DFG 2021
Fecha de inicio:
01/09/2021
Fecha fin:
30/09/2022
Importe concedido:
101.393,00€
Otros fondos:
-
Título:
Avances en codificación y procesado de la señal para la sociedad digital
Código de expediente:
PID2019-104958RB-C44
Investigador principal:
Jesús Gutiérrez Gutiérrez, Pedro Crespo Bofill
Financiador:
MINISTERIO DE CIENCIA E INNOVACIÓN
Convocatoria:
2019 AEI PROYECTOS I+D+i (incluye Generación del conocimiento y Retos investigación)
Fecha de inicio:
01/06/2020
Fecha fin:
31/01/2024
Importe concedido:
124.872,00€
Otros fondos:
-
Título:
Desarrollo de nuevas tecnologias y herramientas que aceleren la transicion a una produccion inteligente
Código de expediente:
KK-2020/00060
Investigador principal:
Xabier Insausti Sarasola
Financiador:
GOBIERNO VASCO
Convocatoria:
2020 GV Elkartek -Proyectos de apoyo a la investigacion colaborativa en areas estrategicas.Tipo 1.
Fecha de inicio:
01/04/2020
Fecha fin:
31/12/2021
Importe concedido:
116.322,00€
Otros fondos:
-
Título:
Control distribuido avanzado para la seguridad y la eficiencia energetica del transporte aereo
Código de expediente:
KK-2020/00044
Investigador principal:
Xabier Insausti Sarasola
Financiador:
GOBIERNO VASCO
Convocatoria:
2020 GV Elkartek -Proyectos de apoyo a la investigacion colaborativa en areas estrategicas.Tipo 1.
Fecha de inicio:
01/03/2020
Fecha fin:
31/12/2021
Importe concedido:
73.675,00€
Otros fondos:
-
Título:
Codificacion y procesado de señales para redes emergentes de comunicacion y de sensores inhalambricas
Código de expediente:
TEC2016-75067-C4-3-R
Investigador principal:
Pedro Crespo Bofill
Financiador:
MINISTERIO DE CIENCIA E INNOVACIÓN
Convocatoria:
2016 MINECO RETOS INVESTIGACION. PROYECTOS I+D+i
Fecha de inicio:
01/01/2017
Fecha fin:
31/12/2020
Importe concedido:
168.795,00€
Otros fondos:
-
Internacionales y Europeos
Título:
Modelling tool for giving value to agri-food residual streams in bio-based industries - Santos & Insausti -
Código de expediente:
887191
Investigador principal:
Javier Santos García
Financiador:
GOBIERNO VASCO
Convocatoria:
2019 GV Elkartek 2019 - Fase I. Programa de apoyo a la investigación colaborativa en áreas estratégicas
Fecha de inicio:
10/06/2020
Fecha fin:
31/05/2023
Importe concedido:
570.650,00€
Otros fondos:
-
