Stochastic Networks
Mostrando 1-12 de 59 artigos, teses e dissertações.
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1. 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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2. PERIODIC REVIEW SYSTEM FOR INVENTORY REPLENISHMENT CONTROL FOR A TWO-ECHELON LOGISTICS NETWORK UNDER DEMAND UNCERTAINTY: A TWO-STAGE STOCHASTIC PROGRAMING APPROACH
ABSTRACT Here, we propose a novel methodology for replenishment and control systems for inventories of two-echelon logistics networks using a two-stage stochastic programming, considering periodic review and uncertain demands. In addition, to achieve better customer services, we introduce a variable rationing rule to address quantities of the item in short.
Pesqui. Oper.. Publicado em: 2017-08
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3. 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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4. Avalanches e redes complexas no modelo Kinouchi-Copelli / Avalanches and complex networks in Kinouchi-Copelli model
The capacity of a sensory system in efficiently detecting stimuli is usually given by the dynamic range, a simple measure of the range of stimulus intensity over which the network is sensible enough. Many times biological systems exhibit large dynamic ranges, covering many orders of magnitude. There is no easy explanation for that, since individual neurons p
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 02/08/2012
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5. Structural vibration control using extension and shear active-passive piezoelectric networks including sensitivity to electrical uncertainties
Active-Passive Piezoelectric Networks (APPN) integrate active voltage sources with passive resistance-inductance shunt circuits to a piezoelectric patch. This technique allows to simultaneously passively dissipate vibratory energy through the shunt circuit and actively control the structural vibrations. This work presents an analysis of active-passive dampin
Journal of the Brazilian Society of Mechanical Sciences and Engineering. Publicado em: 2011-09
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6. Interação entre genes no modelo de spins e bósons / Gene interactions in the spin-boson model
Several functional modules in cells or bacteria are controlled by genes that regulate each other by coding repressive or inducer proteins. The understanding of these genetic networks is still an open problem in biology. In this work we apply the stochastic spin-boson model to the simplest interacting network, made of two genes, the first repressing the secon
Publicado em: 2011
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7. Sistemas de partículas interagentes dependentes de tipo e aplicações ao estudo de redes de sinalização biológica / Type-dependent interacting particle systems and their applications in the study of signaling biological networks
We study type-dependent stochastic spin models proposed by Fernández et al., which were used to model biological signaling networks. The original modeling setup describes the macroscopic evolution of a finite-size spin-flip model with k types of spins with arbitrary number of internal states interacting through a non-reversible stochastic dynamics. In the t
Publicado em: 2011
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8. Proposta de uma representação tensorial para modelos markovianos ocultos
O propósito desta dissertação é propor uma representação tensorial para Modelos Markovianos Ocultos (Hidden Markov Models HMM). A forma escolhida para alcançar esse objetivo passa pelo estudo de como converter um modelo HMM em um modelo SAN (Stochastic Automata Networks): estruturado e cujo formato tensorial é conhecido. A estratégia de conversão c
Publicado em: 2011
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9. PERIODIC STOCHASTIC MODEL BASED ON NEURAL NETWORKS / MODELO ESTOCÁSTICO PERIÓDICO BASEADO EM REDES NEURAIS
Processo Estocástico é um ramo da teoria da probabilidade onde se define um conjunto de modelos que permitem o estudo de problemas com componentes aleatórias. Muitos problemas reais apresentam características complexas, tais como não-linearidade e comportamento caótico, que necessitam de modelos capazes de capturar as reais características do problema
Publicado em: 2010
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10. Método de conversão de diagrama de atividades UML para SAN e geração de casos de teste de software
O processo de desenvolvimento de software é uma tarefa que envolve um conjunto de atividades a serem realizadas, e em muitos casos, por equipes grandes que podem se encontrar geograficamente dispersas. Isso exige do desenvolvedor a utilizacão de métodos que proporcionem uma visão de todas as etapas desse processo de desenvolvimento. A UML (Unified Modeli
Publicado em: 2010
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11. A nonextensive method for spectroscopic data analysis with artificial neural networks
In this paper we apply an evolving stochastic method to construct simple and effective Artificial Neural Networks, based on the theory of Tsallis statistical mechanics. Our aim is to establish an automatic process for building a smaller network with high classification performance. We aim to assess the utility of the method based on statistical mechanics for
Brazilian Journal of Physics. Publicado em: 2009-08
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12. Heavy Traffic Approximations for Signaling Networks / Aproximações para Redes Estocásticas Sinalizantes sob Tráfego Pesado
Este trabalho apresenta a caracterização de limites no sentido fraco dos sistemas de filas em redes que podem enviar e receber sinais. Estes sinais podem ser usados, entre outras coisas, para que as filas se auto controlem. Mostra-se que, sob certas condições, o sistema pode ser aproximado por uma equação diferencial estocástica refletida. Os benefíc
Publicado em: 2009