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作者： Christov, Nicolai D. Konstantinov, Mihail M. Petkov, Petko Hr. Laboratory of Automatics Computer Engineering and Signal Processing Lille University of Science and Technology Villeneuve d'Ascq59655 France Department of Mathematics University of Architecture Civil Engineering and Geodesy Sofia1046 Bulgaria Department of Systems and Control Technical University of Sofia Sofia1000 Bulgaria

New local perturbation bounds for the continuous-time H∞-control problem are obtained, which are nonlinear functions of the data perturbations and are tighter than the existing condition number-based local bounds. These nonlinear local bounds are then incorporated into nonlocal perturbation bounds which are less conservative than the existing nonlocal perturbation estimates for the H∞-control problem. Copyright © 2014, Kent State University.

关键词： Riccati equations

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Learning Difference Equations with Structured Grammatical Evolution for Postprandial Glycaemia Prediction

arXiv

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arXiv 2023年

作者： Parra, Daniel Joedicke, David Velasco, J. Manuel Kronberger, Gabriel Hidalgo, J. Ignacio Department of Computer Architecture and Automatics Universidad Complutense de Madrid Madrid Spain University of Applied Sciences of Upper Austria Hagenberg Austria

People with diabetes must carefully monitor their blood glucose levels, especially after eating. Blood glucose regulation requires a proper combination of food intake and insulin boluses. Glucose prediction is vital to avoid dangerous post-meal complications in treating individuals with diabetes. Although traditional methods, such as artificial neural networks, have shown high accuracy rates, sometimes they are not suitable for developing personalised treatments by physicians due to their lack of interpretability. In this study, we propose a novel glucose prediction method emphasising interpretability: Interpretable Sparse Identification by Grammatical Evolution. Combined with a previous clustering stage, our approach provides finite difference equations to predict postprandial glucose levels up to two hours after meals. We divide the dataset into four-hour segments and perform clustering based on blood glucose values for the two-hour window before the meal. Prediction models are trained for each cluster for the two-hour windows after meals, allowing predictions in 15-minute steps, yielding up to eight predictions at different time horizons. Prediction safety was evaluated based on Parkes Error Grid regions. Our technique produces safe predictions through explainable expressions, avoiding zones D (0.2% average) and E (0%) and reducing predictions on zone C (6.2%). In addition, our proposal has slightly better accuracy than other techniques, including sparse identification of non-linear dynamics and artificial neural networks. The results demonstrate that our proposal provides interpretable solutions without sacrificing prediction accuracy, offering a promising approach to glucose prediction in diabetes management that balances accuracy, interpretability, and computational efficiency. © 2023, CC BY-NC-ND.

关键词： Forecasting

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FPGA implementation to estimate the number of endmembers in hyperspectral images

FPGA implementation to estimate the number of endmembers in ...

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International Conference on Field Programmable Logic and Applications

作者： Carlos González Daniel Mozos Sebastian Lopez Roberto Sarmiento Department of Computer Architecture and Automatics Complutense University of Madrid Madrid Spain Institute for Applied Microelectronics (IUMA) University of Las Palmas de Gran Canaria Spain

Spectral unmixing is an important task for remotely sensed hyperspectral data exploitation. It amounts the identification of pure spectral signatures (endmembers) in the data, and the estimation of the abundance of each endmember in each (possibly mixed) pixel. A challenging problem in spectral unmixing is how to determine the number of endmembers in a given scene. For this purpose, many algorithms have been proposed in the recent literature, being the estimation of the Virtual Dimensionality (VD) of the hyperspectral image and the hyperspectral signal subspace estimator (HySime) two of the most popular choices. Unfortunately, the high dimensionality of the hyperspectral data provided by modern sensors as well as the inherent computational complexity clearly make the use of these algorithms prohibitive for applications under real-time or near real-time constraints. Hence, the utilization of high performance computing platforms in order to accelerate the process of unmixing a hyperspectral image becomes mandatory for such scenarios. Reconfigurable hardware solutions such as field programmable gate arrays (FPGAs) have consolidated during the last years as one of the preferred choices for the fast processing of hyperspectral remotely sensed images due to their advantages over other high performance computing systems, such as clusters of computers, multicore processors and/or graphical processing units (GPUs). This paper uncovers two FPGA-based architectures for accelerating the process of estimating the number of endmembers that constitute a hyperspectral image according to the VD and the HySime algorithms. The proposed methods have been implemented on a Virtex-7 XC7VX690T FPGA and tested using real hyperspectral data collected by NASAs Airborne Visible Infra-Red Imaging Spectrometer (AVIRIS) over the Cuprite mining district in Nevada and the World Trade Center in New York. Experimental results demonstrate that the VD implementation exhibits real-time performance while

关键词： Hyperspectral imaging Estimation Noise Covariance matrices Correlation Field programmable gate arrays

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Low-Complexity Linear Programming Based Decoding of Quantum LDPC Codes

Low-Complexity Linear Programming Based Decoding of Quantum ...

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IEEE International Conference on Communications (ICC)

作者： Sana Javed Francisco Garcia-Herrero Bane Vasić Mark F. Flanagan School of Electrical and Electronic Engineering University College Dublin Belfield Dublin 4 Ireland Department of Computer Architecture and Automatics Complutense University of Madrid Madrid Spain Department of Electrical and Computer Engineering The University of Arizona Tucson AZ USA

ISBN: (数字)9781728190549

ISBN: (纸本)9781728190556

This paper proposes two approaches for reducing the impact of the error floor phenomenon when decoding quantum low-density parity-check codes with belief propagation based algorithms. First, a low-complexity syndrome-based linear programming (SB- LP) decoding algorithm is proposed, and second, the proposed SB-LP is applied as a post-processing step after syndrome-based min-sum (SB-MS) decoding. For the latter case, a new early stopping criterion is introduced to decide when to activate the SB- LP algorithm, avoiding executing a predefined maximum number of iterations for the SB-MS decoder. Simulation results show, for a sample hypergraph code, that the proposed decoder can lower the error floor by two to three orders of magnitude compared to SB-MS for the same total number of decoding iterations.

关键词： Error analysis Simulation Programming Linear programming Decoding Hamming distances Iterative decoding

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Low-Complexity Linear Programming Based Decoding of Quantum LDPC codes

arXiv

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arXiv 2023年

作者： Javed, Sana Garcia-Herrero, Francisco Vasić, Bane Flanagan, Mark F. School of Electrical and Electronic Engineering University College Dublin Belfield Dublin Ireland Department of Computer Architecture and Automatics Complutense University of Madrid Madrid Spain Department of Electrical and Computer Engineering The University of Arizona TucsonAZ85721 United States

This paper proposes two approaches for reducing the impact of the error floor phenomenon when decoding quantum low-density parity-check codes with belief propagation based algorithms. First, a low-complexity syndrome-based linear programming (SB-LP) decoding algorithm is proposed, and second, the proposed SB-LP is applied as a post-processing step after syndrome-based min-sum (SB-MS) decoding. For the latter case, a new early stopping criterion is introduced to decide when to activate the SB-LP algorithm, avoiding executing a predefined maximum number of iterations for the SB-MS decoder. Simulation results show, for a sample hypergraph code, that the proposed decoder can lower the error floor by two to three orders of magnitude compared to SB-MS for the same total number of decoding iterations. © 2023, CC BY.

关键词： Belief propagation

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Layered Decoding of Quantum LDPC Codes

Layered Decoding of Quantum LDPC Codes

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Topics in Coding (ISTC), International Symposium on

作者： Julien Du Crest Francisco Garcia-Herrero Mehdi Mhalla Valentin Savin Javier Valls Univ. Grenoble Alpes Grenoble INP LIG Grenoble France Department of Computer Architecture and Automatics (DACYA) Complutense University of Madrid Spain Univ. Grenoble Alpes CNRS Grenoble INP LIG Grenoble France Univ. Grenoble Alpes CEA-Léti Grenoble France Instituto de Telecomunicaciones y Aplicaciones Multimedia Universitat Politecnica de Valencia Valencia Spain

We address the problem of doing message passing based decoding of quantum LDPC codes under hardware latency limitations. We propose a novel way to do layered decoding that suits quantum constraints and outperforms flooded scheduling, the usual scheduling on parallel architectures. A generic construction is given to construct layers of hypergraph product codes. In the process, we introduce two new notions, t-covering layers which is a generalization of the usual layer decomposition, and a modified scheduling called random order scheduling. Numerical simulations show that the random ordering is of independent interest as it helps relieve the high error floor typical of message passing decoders on quantum codes for both layered and serial decoding without the need of post-processing.

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Check-Agnosia based Post-Processor for Message-Passing Decoding of Quantum LDPC Codes

arXiv

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arXiv 2023年

作者： Crest, Julien du Garcia-Herrero, Francisco Mhalla, Mehdi Savin, Valentin Valls, Javier Université Grenoble Alpes Grenoble INP LIG GrenobleF-38000 France Department of Computer Architecture and Automatics Complutense University of Madrid Madrid Spain Université Grenoble Alpes CNRS Grenoble INP LIG GrenobleF-38000 France Université Grenoble Alpes CEA-Léti GrenobleF-38054 France Instituto de Telecomunicaciones y Aplicaciones Multimedia Universitat Politecnica de Valencia Valencia Spain

The inherent degeneracy of quantum low-density parity-check codes poses a challenge to their decoding, as it significantly degrades the error-correction performance of classical message-passing decoders. To improve their performance, a post-processing algorithm is usually employed. To narrow the gap between algorithmic solutions and hardware limitations, we introduce a new post-processing algorithm with a hardware-friendly orientation, providing error correction performance competitive to the state-of-the-art techniques. The proposed post-processing, referred to as check-agnosia, is inspired by stabilizer-inactivation, while considerably reducing the required hardware resources, and providing enough flexibility to allow different message-passing schedules and hardware architectures. We carry out a detailed analysis for a set of Pareto architectures with different tradeoffs between latency and power consumption, derived from the results of implemented designs on an FPGA board. We show that latency values close to one microsecond can be obtained on the FPGA board, and provide evidence that much lower latency values can be obtained for ASIC implementations. In the process, we also demonstrate the practical implications of the recently introduced t-covering layers and random-order layered scheduling. © 2023, CC BY.

关键词： Error correction

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A Novel Method for Wind Power Plants’ Repowering Based on Multi-Criteria Decision-Making

SSRN

引用

SSRN 2023年

作者： Gil García, Isabel C. Fernández-Guillamón, Ana García-Cascales, M. Socorro Molina-García, Ángel c/ Coruña km 38500 Collado Villalba Madrid28400 Spain Dept. of Applied Mechanics and Projects Engineering - E.T.S. de Ingenieros Industriales & Renewable Energy Research Institute Universidad de Castilla-La Mancha C/ De la Investigación S/N Albacete02006 Spain Department of Electronics Computer Architecture and Project Engineering Department of Automatics Electrical Engineering and Electronic Technology Universidad Politécnica de Cartagena Campus Muralla del Mar Murcia Cartagena30202 Spain

Due to the climate change, over the last decades there have been changes in the rhythm of nature. However, there is an increasing social consciousness regarding decarbonization, and governments include new policies and economic support measures for renewables. The participation of the onshore and offshore wind sectors play a central role in this scenario, expecting that more than 6000 GW will be globally installed in 2050. However, the useful life of many wind power plants is coming to their end, and thus, some countries will face in the coming years the decision of repowering, decommissioning, installing new turbines, or a combination of them. In general, such areas with the greatest wind potential are already occupied by relatively old wind turbines. Subsequently, a complex group of factors influences on the best solution decision-making: climatic, technological, environmental, social or economic. This paper proposes an optimized methodology based on multi-criteria decision-making to estimate the most appropriate solution for extending the useful-life of wind power plants. The methodology is divided into three stages: (i) data, (ii) alternatives and (iii) optimization. It was assessed with a Spanish onshore wind power plant connected to the grid. From the initial data, 11 alternatives were designed based on 10 selection factors. The results provide an optimal solution, combining both repowering and installation of new wind turbines. It would allow us to reduce the LCOE of the new wind plants installed in the European Union by more than 50%. © 2023, The Authors. All rights reserved.

关键词： Wind turbines

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Erratum to: Several Articles in JETP Letters

引用

JETP Letters 2022年第8期116卷 589-591页

作者： Godunov, S. I. Karkaryan, E. K. Novikov, V. A. Rozanov, A. N. Vysotsky, M. I. Zhemchugov, E. V. Inogamov, N. A. Perov, E. A. Zhakhovsky, V. V. Shepelev, V. V. Petrov, Yu. V. Fortova, S. V. Tarasenko, S. V. Shavrov, V. G. Valeev, B. Yu. Toksumakov, A. N. Kvashnin, D. G. Chernozatonskii, L. A. Makarov, A. S. Kretova, M. A. Afonin, G. V. Qiao, J. C. Glezer, A. M. Kobelev, N. P. Khonik, V. A. Klumov, B. A. Magadeev, E. B. Vakhitov, R. M. Tamm Department of Theoretical Physics Lebedev Physical Institute Russian Academy of Sciences Moscow Russia Alikhanov Institute for Theoretical and Experimental Physics National Research Center Kurchatov Institute Moscow Russia Centre de Physique des Particules de Marseille CPPM Aix-Marseille Universite CNRS/IN2P3 Marseille France Landau Institute for Theoretical Physics Russian Academy of Sciences Chernogolovka Russia Joint Institute for High Temperatures Russian Academy of Sciences Moscow Russia All-Russia Research Institute of Automatics Moscow Russia Institute for Computer Aided Design Russian Academy of Sciences Moscow Russia Moscow Institute of Physics and Technology (National Research University) Dolgoprudnyi Russia Dоnetsk Institute for Physics and Engineering Donetsk Ukraine Kotelnikov Institute of Radio Engineering and Electronics Russian Academy of Sciences Moscow Russia Emanuel Institute of Biochemical Physics Russian Academy of Sciences Moscow Russia Scientific School on Chemistry and Technology of Polymer Materials Plekhanov Russian University of Economics Moscow Russia Voronezh State Pedagogical University Voronezh Russia School of Mechanics Civil Engineering and Architecture Northwestern Polytechnical University Xi’an People’s Republic of China National University of Science and Technology MISiS Moscow Russia Institute of Solid State Physics Russian Academy of Sciences Chernogolovka Russia Bashkir State University Ufa Russia

An Erratum to this paper has been published: https://***/10.1134/S0021364022340021

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