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Enhancing the comprehensibility of multidimensional phenomena: The optimal-entropy method for constructing composite indicators. A new index to measure the quality of the public health system in the municipalities of Minas Gerais

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Science Talks 2025年 13卷

作者： Coimbra, André Gomes Libório, Matheus P. Brunsdon, Chris Carvalho, Paulo F. Ekel, Petr Postgraduate Program in Computational Modeling and Systems State University of Montes Claros – UNIMONTES Montes Claros Brazil State University of Montes Claros – UNIMONTES Brazil Maynooth University Ireland Pontifical Catholic University of Minas Gerais Brazil

The analysis of multidimensional phenomena, such as the public health system, poses significant challenges due to the need to integrate and interpret data from different sources and natures, and composite indicators offer an aggregated and simplified view of the multidimensional phenomenon. This article proposes a method for constructing composite indicators using the optimal entropy technique, applied to the evaluation of the quality of the public health system in municipalities in Minas Gerais with more than 30 thousand inhabitants. The focus is on weighting, aiming to maximize the discrimination between the indicators, solving important problems presented by the traditional entropy weighting method. The approach uses the data entropy test and sequential quadratic programming for optimization. The results indicate that the use of linear entropy instead of Shannon entropy in the entropy test increases the variability and discriminant power of the indicators, contributing to a more accurate analysis of the quality of the public health system. © 2024 The Authors

关键词： Composite indicator Health system quality Linear entropy Operational research Optimal entropy

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computational modeling of an Earth-Air Heat Exchanger Integrated with Phase Change Materials: A Case Study Performed for the Viamão City, Rio Grande do Sul State, Brazil

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Defect and Diffusion Forum 2023年 427卷 85-94页

作者： Vielma Vivas, Giovanni Antonio Rodrigues, Michel Kepes Alberto, Luiz Rocha, Oliveira Dos Santos, Elizaldo Domingues Silva Brum, Ruth da Isoldi, Liércio André Graduate Program in Computational Modeling Federal University of Rio Grande RS Rio Grande Brazil Graduate Program in Mathematical Modeling Federal University of Pelotas RS Pelotas Brazil

The earth-air heat exchanger (EAHE) is a sustainable option that allows the electrical energy consumption reduction in buildings. The objective of this study is to evaluate the influence of the incorporation of the thermal energy storage principle based on phase change materials (PCM) into the EAHE on its thermal potential. For this, a three-dimensional numerical model of the PCM coupled to the EAHE (EAHE-PCM) was developed based on the effective heat capacity method and adapted to the climatic conditions and soil characteristics of the Viamão city, Rio Grande do Sul State, Brazil. It was found that for a duct diameter and length of 0.11 m and 25.77 m, the incorporation of PCM to EAHE improved by 8.90% and 3.97% in the average annual thermal potential of heating and cooling, respectively. In addition, the average monthly thermal potential increased 19.70% (heating) and 8.48% (cooling), for the months of May and December, respectively, when the PCM was integrated into the system. © 2023 Trans Tech Publications Ltd, Switzerland.

关键词： Phase change materials

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Numerical Analysis of Phase Change Material Parameters on the Behavior of a Ground-Air Heat Exchanger

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Defect and Diffusion Forum 2024年 436卷 103-115页

作者： Vivas, Giovanni Antonio Vielma Rodrigues, Michel Kepes Rocha, Luiz Alberto Oliveira Dos Santos, Elizaldo Domingues Brum, Ruth da Silva Isoldi, Liércio André Graduate Program in Computational Modeling Federal University of Rio Grande RS Rio Grande Brazil Graduate Program in Mathematical Modeling Federal University of Pelotas RS Pelotas Brazil

The ground-air heat exchanger (GAHE) represents an eco-friendly solution for improving temperature conditions and, consequently, lowering the power demand in facilities. The aim of this research is to numerically analyze how the length and position of the phase change material (PCM) affect the behavior of the GAHE. To achieve this, a 3D computational simulation of the PCM integrated with the GAHE was employed, utilizing the equivalent heat capacity approach and tailored to the climate and ground properties of southern Brazil. This GAHE-PCM numerical model was created employing the finite volume method through the ANSYS Fluent program. From the obtained results, it was found that for a PCM length of 20.61 m, the incorporation of this material placed from the duct inlet offered an improvement of 13.37% in the average heating energy performance indicator (EPI) in the month of May, in contrast to the EPI value of 18.04% achieved when the PCM was added from the duct outlet. © 2024 Trans Tech Publications Ltd, All Rights Reserved.

关键词： Ducts

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Drivetrain simulation using variational autoencoders

arXiv

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arXiv 2025年

作者： Sharma, Pallavi Urrea-Quintero, Jorge-Humberto Bogdan, Bogdan Ciotec, Adrian-Dumitru Vasilie, Laura Wessels, Henning Skull, Matteo Porsche Engineering Etzelstraße 1 Bietigheim-Bissingen74321 Germany Graduate Program Computational Sciences in Engineering Technische Universität Braunschweig Braunschweig Germany Fraunhofer Institute for Energy Economics and Energy System Technology Joseph-Beuys-Straße 8 Kassel34117 Germany Institute of Applied Mechanics Division Data-Driven Modeling of Mechanical Systems Technische Universität Braunschweig Pockelsstraße 3 Braunschweig38106 Germany

This work proposes variational autoencoders (VAEs) to predict a vehicle’s jerk from a given torque demand, addressing the limitations of sparse real-world datasets. Specifically, we implement unconditional and conditional VAEs to generate jerk signals that integrate features from different drivetrain scenarios. The VAEs are trained on experimental data collected from two variants of a fully electric SUV, which differ in maximum torque delivery and drivetrain configuration. New meaningful jerk signals are generated within an engineering context through the interpretation of the VAE’s latent space. A performance comparison with baseline physics-based and hybrid models confirms the effectiveness of the VAEs. We show that VAEs bypass the need for exhaustive manual system parametrization while maintaining physical plausibility by conditioning data generation on specific inputs. © 2025, CC BY.

关键词： Signal encoding

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Categorisation of polyphonic musical signals by using modularity community detection in audio-associated visibility network

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Applied Network Science 2017年第1期2卷 32页

作者： Melo, Dirceu de Freitas Piedade Fadigas, Inacio de Sousa de Barros Pereira, Hernane Borges SalvadorBahia Brazil Feira de SantanaBahia Brazil Computational Modeling Program SENAI CIMATEC SalvadorBahia Brazil

This article proposes a method to numerically characterise the homogeneity of polyphonic musical signals through community detection in audio-associated visibility networks and to detect patterns that allow the categorisation of these signals into two types of grouping based on this numerical characterization. To implement this methodology, we first calculate the variance fluctuation series in fixed-size windows of an audio stretch. Next we map this series onto a visibility graph, where the nodes are the points of the series, and the edges are defined by the visibility between each pair of points. Then, we measure the quality of the partitions of the network using the modularity and Louvain optimisation. We observed that a greater or lesser homogeneity of the magnitudes of the signal transients is related to a higher or lower modularity of the audio-associated visibility network. We also note that these differences are related to musical choices that can establish important differences between musical styles. In this article, we show that the modularity is able to give relevant information to allow the categorisation of 120 musical signs labelled in percussive and symphonic music. © 2017, The Author(s).

关键词： Visibility

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Proposal for a global quality indicator for the municipal public health system – GQIMPHS

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Science Talks 2025年

作者： André Gomes Coimbra Otil C.D. dos Santos Angélica C.G. Santos João B. Mendes Marcos F.S.V. D'Angelo Matheus P. Libório Reginaldo M. Macedo Elisa Fusco Petr Ekel Postgraduate Program in Computational Modeling and Systems State University of Montes Claros – UNIMONTES Montes Claros Brazil State University of Montes Claros – UNIMONTES Brazil University of Florence Italy Pontifical Catholic University of Minas Gerais Brazil

The evaluation of composite indicators is essential for improving health systems. Data Envelopment Analysis (DEA) and the Benefit of the Doubt method are two approaches widely used in this context. Data Envelopment Analysis assesses the relative efficiency of production units, while the Benefit of the Doubt recognizes the uncertainty of composite indicators, allowing for more flexible analyses. Together, these approaches provide a comprehensive view, identifying areas for improvement in health systems and considering both efficiency and the complexity and uncertainties associated with composite indicators. Based on this, this work proposes a framework to generate a single indicator in the health system of 57 counties in the state of Minas Gerais with more than 30 thousand inhabitants, considering three dimensions: infrastructure, service and health status.

关键词： Data envelopment analysis (DEA) Benefit of the doubt Healthcare systems

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A strategy for parametrization refinement in the solution of a geometric inverse problem

A strategy for parametrization refinement in the solution of...

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Southern Conference on computational modeling

作者： Peters, Franciane Conceição Barra, Luis Paulo Da Silva Graduate Program on Computational Modeling Federal University of Juiz de Fora Juiz de Fora Brazil

ISBN: (纸本)9780769539768

This paper treats the problem of identifying a single inclusion in a conductor domain based on the knowledge of measured electrical potentials on the external boundary of the conductor body due to known injected electrical currents. The inclusion boundary is approximated by an Extended X-Spline, that allows identify inclusions with smooth or sharp boundary. In this work, the forward problem is solved by an implementation of the direct formulation of the Boundary Element Method (BEM) and the inverse one is solved by Levenberg-Marquardt method, which requires the evaluation of the objective function derivatives, here approximated by finite differences. This work presents a methodology to increase the number of optimization variables during the solution of the inverse problem in order to improve the quality of the results. © 2009 IEEE.

关键词： Boundary element method

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Some numerical results on the influence of measurement strategies and load patterns in the EIT inverse problem

Some numerical results on the influence of measurement strat...

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14th International Conference on Electrical Bioimpedance, Held in Conjunction with the 11th Conference on Biomedical Applications of EIT, ICEBI and EIT 2010

作者： Peters, Franciane C. Barra, Luis Paulo S. Federal University of Juiz de Fora Graduate Program on Computational Modeling CEP 36036-330 Minas Gerais Brazil

It is well known that the Electrical Impedance Tomography reconstructed images are very sensitive to noise in the electrical potential measures at the external boundary of the domain. Furthermore, there are a variety of strategies to inject current and measure these values. Thus, the aim of this work is to verify how much some of these strategies affect the quality of the reconstructed image and the sensitivity of each strategy to the existence of noise in the measured data. For a known position and shape of a single homogeneous inclusion inside a conductor domain, measured data is numerically simulated by the forward problem solution via Boundary Element Method (BEM). Sixteen electrodes placed at the outer boundary of the domain are used with different load patterns and measurement strategies to obtain the exact data for the numerical experiments. In order to simulate noisy data, Additive White Gaussian Noise proportional to the exact measured value is used on each potential measure. The inverse problem is treated as a data fitting problem solved via Levenberg-Marquardt method, that minimizes the difference between measures data and computed potential values. The coordinates of the control points of a spline function that defines the boundary of the inclusion are used as minimization parameters. In each step of this procedure, the computed potential values are obtained via BEM. The identification of inclusions of different sizes, shapes and positions is presented allowing some conclusions about the influence of the studied parameters. © 2010 IOP Publishing Ltd.

关键词： Boundary element method

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Performance Evaluation of Two Load Balancing Algorithms for Hybrid Clusters 13th

Performance Evaluation of Two Load Balancing Algorithms for ...

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13th International Conference on High Performance Computing in computational Science, VECPAR 2018

作者： do Nascimento, Tiago Marques dos Santos, Rodrigo Weber Lobosco, Marcelo Graduate Program on Computational Modeling UFJF Campus Universitário Juiz de ForaMG36036-900 Brazil

ISBN: (纸本)9783030159955

The use of hybrid environments, composed by CPUs and accelerators, imposes new challenges to the programmer that wants to use all the processing power available on the hardware. Although standards such as OpenCL and OpenACC can help in the task of writing parallel code for hybrid platforms, some issues remain open. In particular, multiprocessors and accelerators are different architectures and for this reason present distinct performances. As a result, data parallel applications have to find a data division that distributes the same amount of work to all devices, i.e, they have to finish their work in approximately the same time. This work uses a simulator of the Human Immune System (HIS) to evaluate two load balancing algorithms, a static and a dynamic ones, that can be used for this purpose. The results have shown that the dynamic load balancing algorithm outperforms the static one by a factor of upÂ to 1.07. © 2019, Springer Nature Switzerland AG.

关键词： Clustering algorithms

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Towards a deep learning potential for anhydrous proton transport

Towards a deep learning potential for anhydrous proton trans...

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2020 AIChE Annual Meeting

作者： Achar, Siddarth Johnson, J. Karl Computational Modeling and Simulation Program University of Pittsburgh United States Department of Chemical Engineering University of Pittsburgh United States

ISBN: (纸本)9780816911141

Standard density functional theory (DFT) molecular dynamic (MD) simulations are prohibitively expensive in terms ofcompute time and memory requirements when the size of the physical system is larger than several hundred *** alternate approach is to develop a deep learning neural network potential that can accurately reproduce DFTenergies within an error of several 10s of meVs. Neural network potentials thus allow large-scale MD simulations formuch longer times than can be achieved with DFT-MD, but with comparable accuracy. We have used the recentlypublished DeePMD [1] formalism to develop potentials for systems relevant to modeling proton transport onfunctionalized graphane. We have used DFT-MD calculations for small structures of graphane and graphanol astraining data to build reliable machine-learned potentials. Apart from energies and forces, vibrational and thermalproperties such as phonon dispersion relations and thermal expansion coefficients from DFT-MD were used to validatethe accuracy of our trained DeePMD potentials. Our goal is to develop a machine learning potential that is able toaccurately predict proton conduction on graphanol in the complete absence of water. Previous DFT calculations haveshown that graphanol a promising candidate for anhydrous proton exchange membrane applications [2]. We seek toidentify large-scale and long-time proton hopping behavior for this system through the use of machine learningpotentials. © 2020 American Institute of Chemical Engineers. All rights reserved.

关键词： Density functional theory

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