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arXiv 2021年

作者： de Queiroz, Ricardo L. Dorea, Camilo Freitas, Davi R. Krivokuća, Maja Sandri, Gustavo P. Computer Science Department Universidade de Brasilia Brasilia Brazil Post-Graduate Program at the Electrical Engineering Science Department Universidade de Brasilia Brasilia Brazil INRIA Rennes France Federal Institute of Brasilia Brasilia Brazil

Point clouds have recently gained interest, especially for real-time applications and for 3D-scanned material, such as is used in autonomous driving, architecture, and engineering, to model real estate for renovation or display. Point clouds are associated with geometry information and attributes such as color. Be the color unique or direction-dependent (in the case of plenoptic point clouds), it reflects the colors observed by cameras displaced around the object. Hence, not only are the viewing references assumed, but the illumination spectrum and illumination geometry is also implicit. We propose a model-centric description of the 3D object, that is independent of the illumination and of the position of the cameras. We want to be able to describe the objects themselves such that, at a later stage, the rendering of the model may decide where to place illumination, from which it may calculate the image viewed by a given camera. We want to be able to describe transparent or translucid objects, mirrors, fishbowls, fog and smoke. Volumetric clouds may allow us to describe the air, however "empty", and introduce air particles, in a manner independent of the viewer position. For that, we rely on some eletromagnetic properties to arrive at seven attributes per voxel that would describe the material and its color or transparency. Three attributes are for the transmissivity of each color, three are for the attenuation of each color, and another attribute is for diffuseness. These attributes give information about the object to the renderer, with whom lies the decision on how to render and depict each object. © 2021, CC BY.

关键词： Color

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Metadata interpretation driven development

arXiv

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arXiv 2021年

作者： da Costa, Júlio G.S.F. Petta, Reinaldo A. Xavier-De-Souza, Samuel Graduate Program of Electrical and Computer Engineering Departamento de Geologia Departamento de Engenharia de Computação e Automação Universidade Federal do Rio Grande do Norte RN Natal59078-900 Brazil

Despite decades of engineering and scientific research efforts, separation of concerns in software development remains not fully achieved. The challenge has been to avoid the crosscutting of concerns phenomenon, which has no apparent complete solution. In this paper, we show that business-domain coding plays an even larger role in this challenge. We then introduce a new approach called Metadata Interpretation Driven Development (MIDD), which suggests a way to enhance the current way of realizing separation of concerns by eliminating the need to code functional concerns. We propose to code non-functional concerns as metadata interpreters. This interpretation occurs at run-time and is possible because it assumes the existence of such metadata in artefacts created in previous stages of the process, such as the modelling phase. We show how this can increase the (re)use of the constructs. Furthermore, we show that a single interpreter, due to its semantic disconnection from the domain, can simultaneously serve different business domains with no concerns regarding the need to rewrite or refactor code. Although high-reuse software construction is considered a relatively mature field, changes in the software services scenario demand constant evolution of the actual solutions. The emergence of new software architectures, such as serverless computing, reinforces the need to rethink software construction. This approach is presented as a response to this need. Copyright © 2021, The Authors. All rights reserved.

关键词： Metadata

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A Hybrid Model With Error Correction for Wind Speed Forecasting

A Hybrid Model With Error Correction for Wind Speed Forecast...

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Latin America Congress on Computational Intelligence (LA-CCI)

作者： Tathiana M. Barchi Lucas F. P. Costa Erickson Puchta Marcella S. R. Martins Mauren Louise Sguario Coelho de Andrade Paulo S. G. de Mattos Neto Hugo Valadares Siqueira Graduate Program in Computer Sciences (PPGCC) Federal University of Technology - Paraná (UTFPR) Ponta Grossa Brazil Graduate Program in Production Engineering (PPGEP) Federal University of Technology - Paraná (UTFPR) Ponta Grossa Brazil Federal University of Technology - Paraná (UTFPR) Ponta Grossa Brazil Centro de Informática Universidade Federal de Pernambuco Recife Brazil

ISBN: (纸本)9781728188652

In recent times wind energy generation has stood out due its integration with traditional electricity grids. Many investigations addressed wind speed forecasting since it presents high volatile and intermittent behavior. Due to this, such a source shows accuracy challenges in relation to its prediction. In this work, a hybrid model based on error correction is proposed, combining the linear Autoregressive and Moving average (ARMA) model and the Multilayer Perceptron (MLP). The approaches was applied in two databases referring to the Brazilian northeast -a prominent region in wind energy. The results reveal that the proposed hybrid model showed good results in comparison to linear and neural-based methods.

关键词： Analytical models Wind energy Databases Wind speed Computational modeling Artificial neural networks Predictive models

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Computational Performance of a LES Solver for Supersonic Jet Flow Applications

arXiv

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arXiv 2023年

作者： Junqueira-Junior, Carlos Azevedo, João Luiz F. Yamouni, Sami Wolf, William R. Instituto de Aeronáutica e Espaço SP São José dos Campos12228-904 Brazil Instituto Tecnológico de Aeronáutica SP São José dos Campos12228-900 Brazil Universidade Estadual de Campinas SP Campinas13083-970 Brazil Aerodynamics Division Departamento de Ciência e Tecnologia Aeroespacial DCTA/IAE/ALA Brazil Graduate Program on Computer Sciences and Electrical Engineering Departamento de Ciência e Tecnologia Aeroespacial DCTA/ITA Brazil Faculty of Mechanical Engineering

An in-house large eddy simulation tool is developed in order to reproduce high fidelity results of compressible jet flows. The large eddy simulation formulation is written using the finite difference approach, with an explicit time integration and using a second order spatial discretization. The energy equation is carefully discretized in order to model the energy equation of the filtered Navier-Stokes formulation. Such numerical studies are very expensive and demand high performance computing. Message passage interface protocols are implemented into the code in order to perform parallel computations. The present work addresses the computational performance of the solver running on up to 400 processors in parallel. Different mesh configurations, whose size varies from approximately 5.9 million points to approximately 1.0 billion points, are evaluate in the current paper. Speedup and efficiency curves are evaluated in order to assess the strong scalability of the solver. © 2023, CC BY.

关键词： Large eddy simulation

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Influence of Different Subgrid Scale Models in LES of Supersonic Jet Flows

arXiv

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arXiv 2023年

作者： Junqueira-Junior, Carlos Yamouni, Sami Azevedo, João Luiz F. Wolf, William R. Instituto de Aeronáutica e Espaço SP São José dos Campos12228-904 Brazil Instituto Tecnológico de Aeronáutica SP São José dos Campos12228-900 Brazil Universidade Estadual de Campinas SP Campinas13083-970 Brazil Aerodynamics Division Departamento de Ciência e Tecnologia Aeroespacial DCTA/IAE/ALA Brazil Graduate Program on Computer Sciences and Electrical Engineering Departamento de Ciência e Tecnologia Aeroespacial DCTA/ITA Brazil Faculty of Mechanical Engineering

Current design constraints have encouraged the studies of aeroacoustics fields around compressible jet flows. The present work addresses the numerical study of subgrid scale modeling for unsteady turbulent jet flows as a preliminary step for future aeroacoustic analyses of main engine rocket plumes. An in-house large eddy simulation (LES) tool is developed in order to reproduce high fidelity results of compressible jet flows. In the present study, perfectly expanded jets are considered because the authors want to emphasize the effects of the jet mixing phenomena. The large eddy simulation formulation is written using the finite difference approach, with an explicit time integration and using a second order spatial discretization. The energy equation is carefully discretized in order to model the energy equation of the filtered Navier-Stokes formulation. The classical Smagorinsky model, the dynamic Smagorinsky model and the Vreman models are the chosen subgrid scale closures for the present work. Numerical simulations of perfectly expanded jets are performed and compared with the literature in order to validate and compare the performance of each subgrid closure in the solver. © 2023, CC BY.

关键词： Large eddy simulation

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Deep-Strong Coupling between Cavity Photons and Terahertz TO Phonons in PbTe

Deep-Strong Coupling between Cavity Photons and Terahertz TO...

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2023 Conference on Lasers and Electro-Optics, CLEO 2023

作者： Baydin, Andrey Manjappa, Manukumara Mishra, Sobhan Subhra Xu, Hongjing Tay, Fuyang Kim, Dasom Hernandez, Felix G.G. Rappl, Paulo H.O. Abramof, Eduardo Singh, Ranjan Kono, Junichiro Department of Electrical and Computer Engineering Rice University HoustonTX77005 United States Smalley-Curl Institute Rice University HoustonTX77005 United States Instrumentation and Applied Physics Department Indian Institute of Science Bangalore560012 India Center for Disruptive Photonic Technologies The Photonics Institute Nanyang Technological University 639798 Singapore Department of Physics and Astronomy Rice University HoustonTX77005 United States Applied Physics Graduate Program Smalley-Curl Institute Rice University HoustonTX77005 United States Instituto de Física Universidade de Sao Paulo SP Sao Paulo05508-090 Brazil Laboratorio Associado de Sensores e Materiais Instituto Nacional de Pesquisas Espaciais SP Sao Jose dos Campos12201-970 Brazil Division of Physics and Applied Physics School of Physical and Mathematical Sciences Nanyang Technological University 637371 Singapore Department of Material Science and NanoEngineering Rice University HoustonTX77005 United States

We have investigated the resonant coupling of photons with TO phonons in lead telluride in small-mode-volume terahertz cavities, observing a giant vacuum Rabi splitting on the order of the bare cavity-phonon frequency... 详细信息

ISBN: (纸本)9781957171258

关键词： Photons

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BEM: A Framework based on Business Intelligence, Quality of Experience, and Car Park Management

BEM: A Framework based on Business Intelligence, Quality of ...

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International Conference on Systems, Signals and Image Processing, IWSSIP

作者： Adriel Santos Araujo Bruno Câmara Flavio Docek Lucas Gaspar Yona Lopes Computing Institute Universidade Federal Fluminense (UFF) Niterói Brazil Computer Engineering Instituto INFNET Rio de Janeiro Brazil Electrical and Telecommunication Engineer Graduate Program Universidade Federal Fluminense (UFF) Niterói Brazil

The following topics are dealt with: learning (artificial intelligence); medical image processing; feature extraction; image classification; convolutional neural nets; image segmentation; neural nets; cancer; diseases... 详细信息

ISBN: (数字)9781728175393

ISBN: (纸本)9781728175409

关键词： Automobiles Business intelligence Smart cities Cameras Quality of experience Sensors Servers

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Magnetized and quadratic convection based thermal transport in ternary radiative bio-nanofluid via intelligent neural networks: Two hidden layers mechanism

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Results in Physics 2024年 65卷

作者： Ayub, Assad Darvesh, Adil Shah, Syed Zahir Hussain Junjua, Moin-ud-Din Santos, Elizaldo Domingues dos Ahmad, Shabbir Hendy, Ahmed S. Ragab, Adham E. Department of Mathematics & Statistics Hazara University Manshera Pakistan School of Mathematical Sciences Zhejiang Normal University Zhejiang Jinhua 321004 China Programa de Pós-Graduação em Modelagem Computacional/LMCE Escola de Engenharia Universidade Federal do Rio Grande – FURG RS Rio Grande 96203900 Brazil FURG Escola de Engenharia RS Rio Grande Brazil Department of Basic Sciences and Humanities Muhammad Nawaz Sharif University of Engineering and Technology Multan 60000 Pakistan Department of Computational Mathematics and Computer Science Institute of Natural Sciences and Mathematics Ural Federal University 19 Mira St. Yekaterinburg 620002 Russian Federation Department of Industrial Engineering College of Engineering King Saud University P.O. Box 800 Riyadh 11421 Saudi Arabia Department of Mathematics Ghazi University Dera Ghazi Khan 32200 Pakistan Graduate Program of Ocean Engineering School of Engineering Universidade Federal do Rio Grande Italia Avenue km 8 96201-900 Rio Grande Brazil Department of Mechanics and Mathematics Western Caspian University Baku 1001 Azerbaijan

Significance: The thermal analysis of nanofluid in a vertical cylinder (artery) in a magnetized environment holds significant implications in physiological and thermal regulation networks. This research is significant in biomedical engineering with applications like medical diagnostics and treatment strategies. Motive: This study investigates the thermal behavior of a magnetized blood-based ternary Carreau nanofluid flowing through a vertically bounded artery with quadratic convection. Velocity and heat transfer analysis is conducted within the artery, utilizing thermal radiation and quadratic convection in a magnetized setting. The base fluid consists of blood, augmented with three nanoparticles: CuO, Al₂O₃, and TiO₂. The investigation centers on examining the properties of blood nanofluid, arterial geometry, and thermal dynamics. Methodology: The physical model generates a set of partial differential equations (PDEs) and similarities mechanism is utilized to fetch its non dimensional form in terms of ordinary differential equations (ODEs). Furthermore, numerical outcomes are obtained with Matlab function bvp4c and obtained data set is trained through robust scheme Levenberg-Marquardt neural network (LMNN) procedure to predict the solution. Findings: Velocity of blood is reduced with increased values of wiessenberg number, magnetic parameter and mixed convection parameter and velocity increases for Second-order convection parameter. Temperature profile decreases with curvature parameter, mixed convection parameter and permeability parameter. © 2024

关键词： Blood fluid Intelligent neural network Magnetized environment Ternary nanoparticles Thermal scrutiny

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Multi-robot exploration using Dynamic Fuzzy Cognitive Maps and Ant Colony Optimization

Multi-robot exploration using Dynamic Fuzzy Cognitive Maps a...

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IEEE International Conference on Fuzzy Systems (FUZZ-IEEE)

作者： Márcio Mendonça Rodrigo H. C. Palácios Elpiniki I. Papageorgiou Lucas Botoni de Souza Eletric Engineering Academic Department (DAELE) Universidade Tecnológica Federal do Paraná Cornélio Procópio Brazil Computer Engineering Academic Department (DACOM) Universidade Tecnológica Federal do Paraná Cornélio Procópio Brazil Faculty of Technology University of Thessaly Larissa Greece Mechanical Engineering Graduate Program (PPGEM) Universidade Tecnológica Federal do Paraná Cornélio Procópio Brazil

ISBN: (数字)9781728169323

ISBN: (纸本)9781728169330

An application field of Multi-Robot Systems (MRS) is within victim rescue operations. The main challenge faced by disaster rescue teams is response time. The chances of finding survivors decrease significantly over time and dramatically decrease after 48 hours. In this context, the motivation of this work is to present an MRS inspired by the concepts of swarm robotics to rescue victims in unknown environments. In this case, the robots are unaware of the search area boundaries and obstacles, knowing the number of victims to be rescued as a stopping criterion for the simulations made in Matlab®. Therefore, three approaches inheriting the main aspects of fuzzy logic are used based on previous works: a fuzzy logic controller (FLC), a dynamic fuzzy cognitive map (DFCM) controller, and a DFCM inspired by the ant colony optimization metaheuristic (DFCM- ACO). The proposed task simulates real life disaster rescue operations, or even humans lost in unfamiliar environments such as forests. The simulations were performed in three environments in order to test the overall robustness against unpredictable situations, autonomy, explored area and processing time for both approaches using a subsumption-based architecture. In general, the results suggest that the DFCM-based MRS approaches are able to complete the tasks consuming less processing time, with robots travelling shorter distances to explore a similar environment to the FLC approach and with the DFCM-ACO presenting balanced results between the other techniques. Finally, future works are outlined.

关键词： Robot kinematics Robot sensing systems Task analysis Ant colony optimization Multi-robot systems

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Fault Prognostics of Rolling Bearings Using a Hybrid Approach ⁎

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IFAC-PapersOnLine 2020年第2期53卷 4082-4087页

作者： Murilo Osorio Camargos Iury Bessa Marcos Flávio Silveira Vasconcelos D’Angelo Reinaldo Martinez Palhares Federal University of Minas Gerais - Graduate Program in Electrical Engineering Brazil Federal University of Amazonas Department of Electricity Manaus Brazil Departament of Computer Science - Universidade Estadual de Montes Claros - Av. Rui Braga s/n Vila Mauricéia 39401-089 Montes Claros MG Brasil Federal University of Minas Gerais - Department of Electronics Engineering Brazil

This paper presents a two-phase hybrid prognostics approach; in the first phase, the model’s parameters are estimated using available training data in the least squares sense using the Levenberg-Marquardt algorithm. The second phase consists of using a particle filter to update the knowledge acquired so far and to predict future states of the system using in the Bayesian sense. The approach is used for an accelerated ball bearing data set, the PRONOSTIA platform, where a general fractional polynomial model is proposed as degradation model. The results of the Remaining Useful Life estimation are compared with another work in the literature, indicating its suitability and competitiveness for prognostics in this data set.

关键词： Prognostics health management remaining useful life particle filter hybrid prognostics accelerated ball bearings

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