Stochastic Modeling
Mostrando 1-12 de 122 artigos, teses e dissertações.
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1. A DISCRETE STOCHASTIC MODEL TO DETERMINE FOOD QUALITY BY USING SIMULATION: A STRAWBERRY CASE STUDY
ABSTRACT The agri-food supply chain (AFSC) sets a series of challenges in the production, storage, distribution, and transportation processes, as the market's requirements for fresh food combine food quality and safety attributes. This research suggests a discrete event modeling to study the behavior of food quality in all supply chains (SCs) in terms of tem
Eng. Agríc.. Publicado em: 2020-12
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2. Adaptive Filtration of Parameters of the UAV Movement Based on the TDOA-Measurement Sensor Networks
ABSTRACT: In modern conditions unmanned aerial vehicles (UAVs) generate new classes of threats, including their use for terrorist purposes. A feature of modern UAVs is the ability to perform sudden maneuvers and to keep the same position in the point in space. For the description of the UAV movement with various types of maneuver it is used a rectangular coo
J. Aerosp. Technol. Manag.. Publicado em: 26/08/2019
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3. A stochastic approach for measuring the uncertainty of claims reserves
RESUMO Este trabalho visa a obter métricas para a quantificação da variabilidade das provisões técnicas de sinistros, fazendo uso de modelos determinísticos e estocásticos. Em suma, tudo o que os métodos tradicionais não fornecem (medidas de variabilidade e de insuficiência de capital) são de fundamental importância para uma gestão atuarial efic
Rev. contab. finanç.. Publicado em: 27/06/2019
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4. MULTI-AGENT BASED MODELING APPLIED TO PORTFOLIO SELECTION IN THE DOOM-LOOP OF SOVEREIGN DEBT CONTEXT*
ABSTRACT This study explores the self-fulfilling dynamic between sovereign debt risk and rational choices of neutral, risk-seeking and risk-averse investors, with implications to the systemic risk emergence. The agent-based model parameterization includes investment strategy (randomly selected assets, stock exchange participation, economic segment, and techn
Pesqui. Oper.. Publicado em: 09/05/2019
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5. A Model Updating Method for Plate Elements Using Particle Swarm Optimization (PSO), Modeling the Boundary Flexibility, Including Uncertainties on Material and Dimensional Properties
Abstract It is a well-known fact that, in a real engineering situation, fixtures are not ideally stiff, so numerical simulations using them are unlikely to present results that are consistent with the experimental ones. The present paper intends to describe a model updating methodology inserting translational and rotational springs in order to better represe
Lat. Am. j. solids struct.. Publicado em: 22/10/2018
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6. Modeling Bayesian Networks from a conceptual framework for occupational risk analysis
Abstract Occupational risk is the possibility that some element included in a particular work environment can cause damage to someone’s health. Thereby, the risk is understood as the product of probability and consequences. In this sense, risk analysis through probabilistic stochastic techniques, such as Bayesian networks (BN), becomes an important tool to
Prod.. Publicado em: 20/07/2017
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7. Classification of Flying Insects with high performance using improved DTW algorithm based on hidden Markov model
ABSTRACT Insects play significant role in the human life. And insects pollinate major food crops consumed in the world. Insect pests consume and destroy major crops in the world. Hence to have control over the disease and pests, researches are going on in the area of entomology using chemical, biological and mechanical approaches. The data relevant to the fl
Braz. arch. biol. technol.. Publicado em: 23/01/2017
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8. A STOCHASTIC PROGRAMMING APPROACH TO LIQUIFIED NATURAL GAS PLANNING
ABSTRACT This work reports on modeling and numerical experience in solving the liquefied natural gas (LNG) planning for an oil and gas company. We developed a model to optimize said purchase, optimizing the amount of LNG bought on the spot and on the long-term markets, based on the predicted demand for the planning horizon. A stochastic approach to address u
Pesqui. Oper.. Publicado em: 2016-04
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9. Uncertainty analysis of flexible rotors considering fuzzy parameters and fuzzy-random parameters
Abstract The components of flexible rotors are subjected to uncertainties. The main sources of uncertainties include the variation of mechanical properties. This contribution aims at analyzing the dynamics of flexible rotors under uncertain parameters modeled as fuzzy and fuzzy random variables. The uncertainty analysis encompasses the modeling of uncertain
Lat. Am. j. solids struct.. Publicado em: 2015-10
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10. In silico Antibacterial Activity Modeling Based on the TOMOCOMD-CARDD Approach
In the recent times, the race to cope with the increasing multidrug resistance of pathogenic bacteria has lost much of its momentum and health professionals are grasping for solutions to deal with the unprecedented resistance levels. As a result, there is an urgent need for a concerted effort towards the development of new antimicrobial drugs to stay ahead i
J. Braz. Chem. Soc.. Publicado em: 2015-06
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11. Incerteza e não ergodicidade: crítica aos neoclássicos
The starting point of this essay is to show that, in our view, the problem of the traditional economics is not in the deductive method nor the mathematical methods used, but to attribute to economic agents "power" on the future and prescribe the existence of ergodic stochastic processes in their economic analyzes. Thus, building a theory on the ground whose
Brazil. J. Polit. Econ.. Publicado em: 2014-06
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12. Evaluating the influence of defects on the young's modulus of carbon nanotubes using stochastic modeling
The main goal of this research is to investigate the influence of structural defects on the mechanical properties of single-walled carbon nanotubes (CNTs). Two different types of the structural defects called Stone-Wales and vacancy defect are studied. While the former is categorized under the process-induced defect and it appears during the growth process o
Mat. Res.. Publicado em: 30/05/2014