Gutiérrez-Gutiérrez, J. (Jesús)
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- Mathematical model for the analysis of jet engine fuel consumption during aircraft climb and descent(iEEE, 2023-11) Velasquez-San Martín, F.(Francisco); Zárraga-Rodríguez, M. (Marta de); Insausti-Sarasola, X. (Xabier); Gutiérrez-Gutiérrez, J. (Jesús)This paper proposes a mathematical model that studies the fuel consumption of a jet engine aircraft during the climbing and descent flight phases. Such problem is addressed by providing a closed-form formula of the aircraft's rate-of-climb and rate-of-descent, which then enables obtaining a closed-form formula of the aircraft's fuel consumption that provides the closed-form relationship between the aircraft's fuel consumption and aerodynamic, engine and design parameters. In order to validate our mathematical model, a comparison is made between our results and results provided by Piano-X software and accuracy between both is proven. Furthermore, our mathematical model is applied to the calculation of pollutant gas emissions, specifically, we present a closed-form expression that provides the dependency between the mass of pollutant gas emitted and the aircraft's aerodynamic, engine and design parameters.
- In-network computation of the optimal weighting matrix for distributed consensus on wireless sensor networks(2017) Zárraga-Rodríguez, M. (Marta de); Crespo-Bofil, P. (Pedro); Insausti-Sarasola, X. (Xabier); Gutiérrez-Gutiérrez, J. (Jesús)
- In-network algorithm for passive sensors in structural health monitoring(2023) Zárraga-Rodríguez, M. (Marta de); Insausti-Sarasola, X. (Xabier); Gutiérrez-Gutiérrez, J. (Jesús); Nolasco Ferencikova, C. (Carolina)Structural health monitoring (SHM) using wireless sensor networks (WSN) has become a popular implementation, due to low maintenance and installation costs. These networks commonly use a centralized approach and battery-powered sensors, leading to energy consumption limitations, in both the central unit and the sensors. Therefore, it is of interest to consider the use of passive sensors and distributed processing in the network. In this letter, we present a distributed algorithm for SHM using wireless passive sensor networks (WPSNs) that allows any passive sensor in the network to obtain the distance to its neighbours via backscattering, and hence to detect and signal changes in the monitored structure.
- Applications of the periodogram method for perturbed block toeplitz satrices in statistical signal processing(MDPI, 2020) Zárraga-Rodríguez, M. (Marta de); Insausti-Sarasola, X. (Xabier); Gutiérrez-Gutiérrez, J. (Jesús)In this paper, we combine the periodogram method for perturbed block Toeplitz matrices with the Cholesky decomposition to give a parameter estimation method for any perturbed vector autoregressive (VAR) or vector moving average (VMA) process, when we only know a perturbed version of the sequence of correlation matrices of the process. In order to combine the periodogram method for perturbed block Toeplitz matrices with the Cholesky decomposition, we first need to generalize a known result on the Cholesky decomposition of Toeplitz matrices to perturbed block Toeplitz matrices.
- Comment on “Asymptotic quantum algorithm for the Toeplitz systems”(American Physical Society, 2024-08) Sunsundegi-Oiarzabal, B. (Bruno); Zárraga-Rodríguez, M. (Marta de); Insausti-Sarasola, X. (Xabier); Gutiérrez-Gutiérrez, J. (Jesús)In their recent paper [Phys. Rev. A 97, 062322 (2018)], Wan et al. proposed a quantum algorithm to solve systems of linear equations Ax = b, where A is an n × n Toeplitz matrix generated by the Fourier coefficients of a continuous, 2π-periodic, and positive function f . For large enough n, they claimed that the algorithm is valid for all b. In this Comment we prove that, in general, this is not true.
- Mathematical model for optimal agri-food industry residual streams flow management: A valorization decision support tool.(MDPI, 2024-09) Jaray-Valdehierro, S. (Sofía); Fernández-Arévalo, T.(Tamara); Villar-Rosety, F.M. (Fernando M.); Barasoain-Echepare, I. (Iñigo); Sancho-Seuma, L. (Luis); Zárraga-Rodríguez, M. (Marta de); Besga-Oyanarte, L. (Leire); Insausti-Sarasola, X. (Xabier); Ayesa-Iturrate, E. (Eduardo); Podhorski, A. (Adam); Gutiérrez-Gutiérrez, J. (Jesús)We present a mathematical model for agri-food industry residual streams flow management, which serves as a decision support tool for optimizing their valorization. The aim is to determine, under a cost-benefit analysis approach, the best strategy at a global level. The proposed mathematical model provides the optimal valorization scenario, namely the set of routes followed by agri-food industry residual streams that maximizes the total profit obtained. The model takes into account the complete stoichiometry of the residual stream at each step of the valorization route. Furthermore, the model allows for the calculations of different scenarios to support decision-making. The proposed approach is illustrated through a case study using a real-case network of a region. The case study bears evidence that the use of the model can lead to significant profit increases compared to those obtained with current practices. Moreover, notable profit improvements are obtained in the case study if the selling price of all the value-added products considered increases or if the processing cost of the animal feed producer decreases. Therefore, our model enables the detection of key factors that influence the optimal strategy, making it a powerful decision-support tool for optimizing the valorization of agri-food industry residual streams.
- Computation of the fundamental limits of data compression for certain nonstationary ARMA vector sources.(Pleiades Publishing, Inc., 2024-04) Barasoain-Echepare, I. (Iñigo); Zárraga-Rodríguez, M. (Marta de); Gutiérrez-Gutiérrez, J. (Jesús)Abstract—In the present article, the differential entropy rate and the rate distortion function (RDF) are computed for certain nonstationary real Gaussian autoregressive moving average (ARMA) vector sources.
- Algorithm for the optimal design of a fault-tolerant aircraft power transmission network.(IEEE, 2022) Velasco, J. (Javier); Zárraga-Rodríguez, M. (Marta de); Insausti-Sarasola, X. (Xabier); Rodríguez-Lalanne, F. (Fermín); Gutiérrez-Gutiérrez, J. (Jesús)Aircraft manufacturers aim to decrease the fuel consumption based on reducing weight and increasing the subsystem efficiency. Hence, the electric power system (EPS) acquires great relevance because it must be efficient and lightweight. Any change in the EPS must not affect the aircraft’s electrical safety, which under a traditional decentralized EPS strategy is ensured by redundancy. Recently, several decentralized EPS strategies based on the introduction of multiport power converters have arisen. Such strategies meet the established safety goals since the aforementioned devices make it possible to recalculate the path to continue powering the loads in case of failure. However, the literature does not address how to connect such multiport power converters. The main contribution of this article is to present a low-complexity algorithm that minimizing the redundancy of wiring, provides a fault-tolerant power transmission network. This is done under a decentralized EPS strategy where multiport power converters are used. The proposed strategy is evaluated on Boeing 787 aircraft, where we compare the length of the cables both under a traditional decentralized network configuration (where the redundancy option is used to ensure the safety of operation) and in the network provided by our algorithm. A saving of 66.6% is obtained.
- On the asymptotic optimality of a low-complexity coding strategy for WSS, MA, and AR vector sources(MDPI AG, 2020) Zárraga-Rodríguez, M. (Marta de); Insausti-Sarasola, X. (Xabier); Gutiérrez-Gutiérrez, J. (Jesús)In this paper, we study the asymptotic optimality of a low-complexity coding strategy for Gaussian vector sources. Specifically, we study the convergence speed of the rate of such a coding strategy when it is used to encode the most relevant vector sources, namely wide sense stationary (WSS), moving average (MA), and autoregressive (AR) vector sources. We also study how the coding strategy considered performs when it is used to encode perturbed versions of those relevant sources. More precisely, we give a sufficient condition for such perturbed versions so that the convergence speed of the rate remains unaltered.
- Rate-distortion function upper bounds for Gaussian vectors and their applications in coding AR sources(MDPI AG, 2018) Villar-Rosety, F.M. (Fernando M.); Zárraga-Rodríguez, M. (Marta de); Insausti-Sarasola, X. (Xabier); Gutiérrez-Gutiérrez, J. (Jesús)source coding; rate-distortion function (RDF); Gaussian vector; autoregressive (AR) source; discrete Fourier transform (DFT)