Process Modeling
Mostrando 1-12 de 979 artigos, teses e dissertações.
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1. Encoding of Luminescent Ink Markers Using Low-Level Data Fusion and Chemometrics
The identification and analysis of documentary fraud is always a challenge for forensic science. Document analysis has proven to be an important branch of forensics in elucidating the authenticity of documents. The development and incorporation of luminescent inks in authentic documents have proved to be an excellent security feature. This paper purposes the
Journal of the Brazilian Chemical Society. Publicado em: 2023
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2. Rethinking abusive supervision: antecedents and reparative mechanisms of abusive supervision, including supervisor frustration, coworker support, guilt, and supervisor OCB in a mediated-moderation model
Abstract Purpose Drawing on affective events theory, this study positions role overload and supervisor frustration as antecedents of abusive supervision, leading to supervisor-led organizational citizenship behavior. In a mediated-moderation-sed analysis, we question whether coworker support moderates the relationship between supervisor frustration and abus
Revista Brasileira de Gestão de Negócios. Publicado em: 2023
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3. Kinetic study and thermodynamic equilibrium modeling of the Co(II) and Mn(II) bioadsorption using the Rhodococcus opacus strain
Abstract Microbial biomass is considered a renewable and environmentally friendly resource. Thus, the research conducted a kinetic study and thermodynamic equilibrium modeling of the cobalt (Co) and manganese (Mn) bioadsorption process using the Rhodococcus opacus (RO) strain as a biosorbent. The inactive biomass subjected to 0.1 M NaOH pretreatment was brou
REM - International Engineering Journal. Publicado em: 2022
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4. Modeling and Computer Simulation of Viscoelastic Crypt Deformation
ABSTRACT Colorectal cancer morphogenesis begins at the cellular level from cell mutations in the intestinal epithelium cavities called crypts. These mutations lead to a pressure difference in the epithelium crypt walls, which can cause deformation and generate visible abnormalities in the epithelium. The geometrical modeling of these crypts and the mathemati
Trends in Computational and Applied Mathematics. Publicado em: 2022
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5. Cascade Modeling of the Measuring System Used to Assess S-Parameters of Anchor Rods on Power Transmission Lines Guyed Towers
Abstract The structural condition of the cable-stayed towers anchorage on power transmission lines requires constant monitoring. Maintenance routines must be able to identify faulty anchor rods and substitute them to avoid tower collapses and power delivery interruptions. Modern statistical diagnostic systems based on machine learning requires the generation
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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6. A High-Selectivity Bandpass Filter Using Dual-Mode Coupling Resonator
Abstract In this work, a new model of high selectivity dual-mode bandpass filter is presented. The proposed filter consists of a set of coupled lines with a dual-mode adjustable response in its design process. An improvement in selectivity is presented by combining the dual-mode element with a classic band rejection structure, thus making it possible to intr
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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7. THE INFLUENCE OF THE FILM FORMED ON THE PRATO CHEESE SURFACE DURING THE NACL AND KCL SALTING PROCESS: APPLICATION OF THE FINITE ELEMENT METHOD AND NEURAL NETWORKS OF THE SELF-ORGANIZING MAP (SOM) AND MULTILAYER PERCEPTRON (MLP) TYPES
Sodium chloride is used in the cheese salting process as it promotes sensory changes and food preservation. However, in excess can cause hypertension problems, and for this reason, it has been partially replaced by potassium chloride. In the present work, Prato cheese was subjected to joint diffusion of NaCl and KCl by immersion in static and stirred brine.
Química Nova. Publicado em: 2022
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8. Methodology to Generate a Reluctance Network Applied to Permanent Magnet Synchronous Generators
Abstract This paper presents a methodology for the generation of a static reluctance network, with magnetomotive sources only in the rotor, applied in the analysis and design of surface mounted permanent magnet synchronous generators. In the analysis stage, this network can provide the magnetic flux in several points of the generator, enabling an estimate of
Journal of Microwaves, Optoelectronics and Electromagnetic Applications. Publicado em: 2022
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9. Fuzzy Boundary for Beams Vibrations in Vehicles
ABSTRACT This work aims to study the transversal motion of a car’s chassis, modeled by a beam and supported at its ends by two sets of spring-damper elements. A finite differences method is utilized along with Robin boundary conditions to solve the mathematical modeling. The constants of the boundary conditions are modeled by a fuzzy parameter obtained thr
Trends in Computational and Applied Mathematics. Publicado em: 2022
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10. KINETICS AND MATHEMATICAL MODELING OF THE DRYING PROCESS OF MACAÚBA ALMONDS
RESUMO O estudo da cinética de secagem é fundamental para a correta escolha do tempo e da temperatura utilizadas no processo. Além disso, a modelagem matemática possibilita a simulação, a otimização, o dimensionamento e a determinação da aplicação comercial do sistema de secagem. Diante do exposto, objetivou-se investigar a cinética e a modelage
Revista Caatinga. Publicado em: 2022
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11. CHLORDECONE ADSORPTION ON FUNCTIONALIZED ACTIVATED CARBONS: COMPUTATIONAL CHEMISTRY AS A TOOL FOR UNDERSTANDING THE ADSORPTION PROCESS
Chlordecone (CLD) has been used as a pesticide for a long time to control the proliferation of various insects in tropical countries like the French West Indies. CLD was included in 2009 in the list of persistent organic pollutants (POPs) by the Stockholm Convention, prohibiting its production and use worldwide. Thus, its removal from water and soils is a sa
Quím. Nova. Publicado em: 2021-02
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12. Automated Framework for Developing Predictive Machine Learning Models for Data-Driven Drug Discovery
The increasing availability of extensive collections of chemical compounds associated with experimental data provides an opportunity to build predictive quantitative structure-activity relationship (QSAR) models using machine learning (ML) algorithms. These models can promote data-driven decisions and have the potential to speed up the drug discovery process
J. Braz. Chem. Soc.. Publicado em: 2021-01