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2012 IEEE 3rd Latin American Symposium on Circuits and systems, LASCAS 2012

作者： Muñoz, Daniel M. Llanos, Carlos H. Coelho, Leandro Dos S. Ayala-Rincón, Mauricio Department of Mechanical Engineering Automation and Control Group/GRACO University of Brasilia Brasilia D.F. Brazil Industrial and Systems Engineering Graduate Program LAS/PPGEPS Pontifical Catholic University of Parana Curitiba Parana Brazil Department of Computer Science and Mathematics University of Brasilia Brasilia D.F. Brazil

ISBN: (纸本)9781467312080

Artificial bee colony (ABC) is an optimization algorithm inspired on the intelligent behavior of honey bee swarms. It is suitable to be applied when mathematical techniques are impractical or provide suboptimal solutions. As a population-based algorithm, the ABC suffers on large execution times specifically for embedded optimization problems with computational limitations. For that we propose a hardware parallel architecture of the opposition-based ABC algorithm (HPOABC) that facilitates the implementation in Field programmable Gate Arrays (FPGAs). Numerical simulations using four well-known benchmark problems demonstrate that the opposition-based approach allows the algorithm to improve its functionality, preserving the swarm diversity. Additionally, synthesis results point outs that the HPOABC architecture is effectively mapped in hardware and is suitable for embedded applications. © 2012 IEEE.

关键词： Global optimization

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Current Issues in the Flexibilization of Smart Product-Service systems and their Impacts in Industry 4.0

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Procedia Manufacturing 2020年 51卷 1153-1157页

作者： Athon F.C.S. de Moura Leite Matheus B. Canciglieri Yee Mey Goh Radmehr P. Monfared Eduardo de F. Rocha Loures Osiris Canciglieri Industrial and Systems Engineering Graduate Program Pontifical Catholic University of Paraná Curitiba – Paraná Brazil School of Mechanical Electrical and Manufacturing Engineering Loughborough University Loughborough – Leicestershire United Kingdom

In Industry 4.0, trends on Servitisation are intertwined with increased use of “smart technologies”, bringing light to Smart Product-Service systems. Currently, Smart-PSSs need to cope with dynamic customer’s needs, which generates system requirements in a higher frequency, resulting in reconfiguration of such system. This research aims to study current issues regarding the reconfiguration of Smart-PSSs, focusing on flexibilization. An exploration of issues is done by a qualitative literature review, with results structured in a schema. This schema approaches issues which are not yet solved or addressed in literature, showing that systemic solutions are necessary to solve explored issues. A discussion of current limitations and trends in research is presented, bridging studied material and pointing out current Industry 4.0 technologies that might cope with the issues if approached systemically. The paper points to further research regarding a expansions on the literature review and next steps on solving current issues.

关键词： Smart Product-Service System Semantic Interoperability Industry 4.0 Flexible Smart Product-Service System

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Compact prototype microfabricated gas chromatographic analyzer for autonomous determinations of VOC mixtures at typical workplace concentrations

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Microsystems & Nanoengineering 2018年第1期4卷 390-399页

作者： Junqi Wang Jonathan Bryant-Genevier Nicolas Nuñovero Chengyi Zhang Bruce Kraay Changhua Zhan Kee Scholten Robert Nidetz Sanketh Buggaveeti Edward T.Zellers Department of Chemistry University of MichiganAnn ArborMI 48109USA Department of Environmental Health Sciences University of MichiganAnn ArborMI 48109USA Applied Physics Program University of MichiganAnn ArborMI 48109USA Department of Mechanical Engineering University of MichiganAnn ArborMI 48109USA Center for Wireless Integrated MicroSensing and Systems University of MichiganAnn ArborMI 48109USA

This report concerns a benchtop prototype instrument containing a gas chromatographic microanalytical system(μGC)designed for the selective determination of multiple airborne volatile organic compounds(VOCs)at concentrations in the vicinity of recommended occupational exposure *** core microsystem consists of a set of discrete Si-microfabricated devices:a dualcavity,adsorbent-packed micro-preconcentrator-focuser(μPCF)chip that quantitatively captures and thermally desorbs/injects VOCs with vapor pressures between~0.03 and 13 kPa;tandem micro-column(μcolumn)chips with cross-linked PDMS wall-coated stationary phases capable of temperature-programmed separations;and an integrated array of fiveμchemiresistors(μCR)coated with different thiolate-monolayer protected gold nanoparticle(MPN)interface films that quantifies and further differentiates among the analytes by virtue of the response patterns *** key components include a pre-trap for low-volatility interferences,a split-flow injection valve,and an onboard He carrier–gas *** assembled unit measures 19×30×14 cm,weighs~3.5 kg,operates on AC power,and is laptop/LabVIEW ***-and system-level tests of performance demonstrated injection bandwidths o1 s,aμcolumn capacity of≥8μg injected mass,linear calibration curves,no humidity effects,excellent medium-term(that is,1 week)reproducibility,autonomous operation for 8 h,detection limits below Threshold Limit Values(TLV)for 10 mL air samples collected in 1 min,and response patterns that enhanced vapor *** determination of a 17-VOC mixture in the presence of seven interferences was performed in 4 *** augur well for adapting the microsystem to an all-MEMS wearableμGC currently under parallel development.

关键词： gas chromatography micro-GC microsystem mixtures sensor array VOCs

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On the comparison of three numerical methods applied to building simulation: Finite-differences, RC circuit approximation and a spectral method

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建筑模拟（英文版） 2020年第1期13卷 1-18页

作者： Julien Berger Suelen Gasparin Denys Dutykh Nathan Mendes Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LOCIE 73000 Chambéry France Univ. Grenoble Alpes Univ. Savoie Mont Blanc CNRS LAMA 73000 Chambéry France Thermal Systems Laboratory Mechanical Engineering Graduate Program Pontifical Catholic University of Paraná Rua Imaculada Concei??o 1155 CEP : 80215-901 Curitiba - Paraná Brazi

Predictions of physical phenomena in buildings are carried out by using physical models formulated as a mathematical problem and solved by means of numerical methods, aiming at evaluating, for instance, the building thermal or hygrothermal performance by calculating distributions and fluxes of heat and moisture transfer. Therefore, the choice of the numerical method is crucial since it is a compromise among (i) the solution accuracy, (ii) the computational cost to obtain the solution and (iii) the complexity of the method implementation. An efficient numerical method enables to compute an accurate solution with a minimum computational run time (CPU). On that account, this article brings an investigation on the performance of three numerical methods. The first one is the standard and widely used finite-difference approach, while the second one is the so-called RC approach, which is a particular method brought to the building physics area by means of an analogy of electric circuits. The third numerical method is the spectral one, which has been recently proposed to solve nonlinear diffusive problems in building physics. The three methods are evaluated in terms of accuracy on the assessment of the dependent variable (temperature or vapor pressure) or of density of fluxes for three different cases: (i) heat diffusion through a concrete slab, (ii) moisture diffusion through an aerated concrete slab and (iii) heat diffusion using measured temperatures as boundary conditions. Results highlight the spectral approach as the most accurate method. The RC based model with a few number of resistances does not provide accurate results for temperature and vapor pressure distributions neither to flux densities nor conduction loads.

关键词： heat transfer moisture transfer numerical methods finite differences thermal circuit model spectral method

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Effects of Incidence Angle and Water Condensation-Drying Cycles on Pv Soiling Loss

SSRN

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SSRN 2022年

作者： Guo, Bing Javed, Wasim Mechanical Engineering Program Texas A&M University Qatar Energy Systems Engineering Punjab Bio-energy Institute University of Agriculture Faisalabad Pakistan

In this study, the effect of light incidence angle on soiling loss is investigated, as well as the effect of water condensation-drying cycles. The experimental results show, as predicted by a theoretical model that the light transmission loss caused by dust on solar module surface is proportional to the secant of the angle of incidence when it is less than 45˚;for larger incidence angles, the relation becomes more complex and dependent on the dust loading. In addition, water condensation-drying cycles cause dust particle aggregation on hydrophobic glass surfaces which results in a reduction of light transmission loss. On hydrophilic glass surfaces, condensation-drying cycles also cause changes in light transmission loss, but the trend is more complex. These findings are significant for understanding solar PV soiling loss and provide insight into the interpretation of soiling sensor readings. © 2022, The Authors. All rights reserved.

关键词： Glass

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Variable-Speed Teaching-Playback as Real-World Data Augmentation for Imitation Learning

arXiv

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arXiv 2024年

作者： Masuya, Nozomu Sato, Hiroshi Yamane, Koki Kusume, Takuya Sakaino, Sho Tsuji, Toshiaki Master's Program in Intelligent and Mechanical Interaction Systems Degree Programs in Systems and Information and Engineering Graduate School of Science and Technology University of Tsukuba Japan Doctoral Program in Intelligent and Mechanical Interaction Systems Degree Programs in Systems and Information and Engineering Graduate School of Science and Technology University of Tsukuba Japan Department of Intelligent Interaction Technologies Institute of Systems and Information Engineering University of Tsukuba Japan Graduate School of Science and Engineering Saitama University Saitama Japan

Because imitation learning relies on human demonstrations in hard-to-simulate settings, the inclusion of force control in this method has resulted in a shortage of training data, even with a simple change in speed. Although the field of data augmentation has addressed the lack of data, conventional methods of data augmentation for robot manipulation are limited to simulation-based methods or downsampling for position control. This paper proposes a novel method of data augmentation that is applicable to force control and preserves the advantages of real-world datasets. We applied teaching-playback at variable speeds as real-world data augmentation to increase both the quantity and quality of environmental reactions at variable speeds. An experiment was conducted on bilateral control-based imitation learning using a method of imitation learning equipped with position-force control. We evaluated the effect of real-world data augmentation on two tasks, pick-and-place and wiping, at variable speeds, each from two human demonstrations at fixed speed. The results showed a maximum 55% increase in success rate from a simple change in speed of real-world reactions and improved accuracy along the duration/frequency command by gathering environmental reactions at variable speeds. Copyright © 2024, The Authors. All rights reserved.

关键词： Demonstrations

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SYNAPTIC SPINE HEAD MORPHODYNAMICS FROM GRAPH GRAMMAR RULES FOR ACTIN DYNAMICS

arXiv

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arXiv 2025年

作者： Hur, Matthew Bartol, Thomas Rangamani, Padmini Sejnowski, Terrence Mjolsness, Eric Program in Mathematical Computational and Systems Biology Univeristy of California Irvine IrvineCA United States Computational Neurobiology Laboratory Salk Institute for Biological Studies La Jolla CA United States Departments of Pharmacology and Mechanical and Aerospace Engineering University of California San Diego La Jolla CA United States Deparment of Neurobiology University of California San Diego La Jolla CA United States Departments of Computer Science and Mathematics Univeristy of California Irvine IrvineCA United States

There is a morphodynamic component to synaptic learning by which changes in dendritic (postsynaptic) spine head size are associated with the strengthening or weakening of the synaptic connection between two neurons, in response to the temporal correlation of local presynaptic and postsynaptic signals. These morphological factors are in turn sculpted by the dynamics of the actin cytoskeleton. In this paper, we use Dynamical Graph Grammars (DGGs) implemented within a computer algebra system to model how networks of actin filaments can dynamically grow or shrink, reshaping the spine head. Dynamical Graph Grammars (DGGs) provide a well-defined way to accommodate dynamically changing system structure such as active cytoskeleton represented using dynamic graphs, within nonequilibrium statistical physics under the master equation. We show that DGGs can also incorporate biophysical forces between graph-connected objects at a finer time scale, with specialized DGG kinetic rules obeying biophysical constraints of Galilean invariance, conservation of momentum, and dissipation of conserved global energy. We use graph-local energy functions for cytoskeleton networks interacting with membranes, and derive DGG rules from the specialization of dissipative stochastic dynamics - separated into dissipative and thermal noise rule types - to a mutually exclusive and exhaustive collection of graph-local neighborhood types for the rule left hand sides. The dissipative rules comprise a stochastic version of gradient descent dynamics. The thermal noise rules use a Gaussian approximation of each position coordinate to sample jitter-like displacements. For the spine head model we designed and implemented DGG grammar mathematical sub-models including actin network growth, non-equilibrium statistical mechanics, and filament-membrane mechanical interaction to regulate the re-writing of graph objects. We simulate emergent biophysics of simplified networks of actin polymers and their interactions

关键词： Stochastic models

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Numerical Investigation of Hydrogen-Enriched Diesel Addition Effects in a Furnace Burner: Flame Temperatures and Exhaust Emissions

Numerical Investigation of Hydrogen-Enriched Diesel Addition...

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Novel Intelligent and Leading Emerging Sciences Conference (NILES)

作者： Seifeldin Mohamed Abdelrahman Kamal Amr Guaily Mahmoud Shaaban Mechanical Engineering Program School of Engineering and Applied Sciences Nile University Giza Egypt Smart Engineering Systems Research Center (SESC) Nile University Giza Egypt

In this work, the effects of adding hydrogen to diesel non-premixed combustion with air in a cylindrical furnace burner are investigated. A numerical model is developed to study the effects of hydrogen addition on combustion flame temperature and exhaust emissions. Different hydrogen addition ratios of 5%, 10%, 15%, and 20% by volume in the burning mixture are considered. The turbulence-chemistry interaction is modelled through the eddy dissipation combustion model to predict the concentration of exhaust emissions and the temperature of the combustion flame. The air–fuel equivalence ratio is consistently set to 1 (stoichiometry) across all the considered cases. Results show that the hydrogen enrichment of diesel increases flame temperature and diminishes carbon emissions while enhancing the generation of NO x emissions. Hence, careful consideration should be given to NO x emission control in high temperature flame systems when hydrogen is used to enrich the fuel mixture and reduce carbon emissions.

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Influence of Magnetically-Induced Nonlinear Added Stiffness on the Lift Galloping of Square Cylinders at Low Reynolds Number

SSRN

引用

SSRN 2023年

作者： Rashed, Mostafa R. Shaaban, Mahmoud Mechanical Engineering Department Faculty of Engineering Modern University for Technology and Information Cairo Egypt Mechanical Engineering Program School of Engineering and Applied Sciences Nile University Cairo Egypt Smart Engineering Systems Center Nile University Cairo Egypt

A square cylinder may gallop if subjected to fluid flow experiencing a self-excited vibration mode that can harvest energy for low-power applications. The harvested power is typically low and depends on the upstream flow velocity and system dynamic parameters. In this study, the influence of nonlinear stiffness induced by two repulsive magnetic poles on the galloping response of a square rod is investigated at a mass ratio of 10 and a Reynolds number of 200. The vibration response of two identical coaxial square rods with magnetic poles attached to their opposite ends is analyzed. Two simplified configurations are selected to model the magnetic forces: a pair of identical monopoles and a pair of identical dipoles. Results show that the magnet configuration and strength significantly affect the vibration amplitude and the onset flow velocity. A weak magnetic force can enhance vibration and reduce onset flow velocity, while a stronger pair of dipoles may push the bistable system to a state of low-amplitude vibration with a mean displacement. The influence of magnets in this configuration has potential as a control technique for energy harvesting applications. © 2023, The Authors. All rights reserved.

关键词： Computational fluid dynamics

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Reflecting on Impacts of COVID19 on Sustainable Buildings and Cities

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Journal of engineering for Sustainable Buildings and Cities 2021年第1期2卷 010201页

作者： González, Jorge E. Krarti, Moncef The City College of New York Department of Mechanical Engineering New York NY 10031 Building Systems Program University of Colorado Boulder Boulder CO 80309

The pandemic of Coronavirus Disease or COVID19 has disrupted all aspects of our lives in many ways since it was first detected in the early part of the year 2020; personal and professional lives were impacted including workplaces, learning environments, businesses, commerce, and industry. The global toll of impacted people has been higher than many anticipated, with more than 100 M confirmed infections as of this issue and more than 2.5 M of confirmed casualties [1]. To a large degree, buildings are at the center of the pandemic in terms of spread and its control. The severe acute respiratory syndrome coronavirus 2 (SARS CoV-2) virus spreads rapidly from person to person as the main contamination source presenting major challenges for human socializations and interactions, which occur mostly in indoor environments. Thus, indoor environments are a potential opportunity to reduce infection or to increase...

关键词： Pandemics HVAC equipment Structures Air pollution Climate change Green buildings

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