Sequential Algorithms
Mostrando 1-12 de 38 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. Dexterous hand gestures recognition based on low-density sEMG signals for upper-limb forearm amputees
Abstract Introduction Intuitive prosthesis control is one of the most important challenges in order to reduce the user effort in learning how to use an artificial hand. This work presents the development of a novel method for pattern recognition of sEMG signals able to discriminate, in a very accurate way, dexterous hand and fingers movements using a reduce
Res. Biomed. Eng.. Publicado em: 17/08/2017
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3. Estimação e previsão da estrutura a termo das taxas de juros usando técnicas de inteligência computacional / Term structure of interest rate modeling and forecasting using computational intelligence techniques
This work proposes the term structure of interest rates modeling and forecasting using computational intelligence techniques, based on data from the US and Brazilian fixed income markets. The yield curve modeling includes the use of some evolutionary computation methods like Genetic Algorithms, Differential Evolution and Evolution Strategies in comparison wi
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 25/06/2012
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4. Desenvolvimento de modelos e algoritmos sequenciais e paralelos para o planejamento da expansão de sistemas de transmissão de energia elétrica / Development of mathematical models, sequential and parallel algorithms for transmission expansion planning
The main objective of this study is to propose a new methodology to deal with the long-term transmission system expansion planning with multiple generation dispatch scenarios problem (TEP-MDG). With the methodology proposed in this thesis we aim to build expansion plans with minimum investment cost and also capable of meeting the new demands of modern electr
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia. Publicado em: 16/03/2012
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5. Estratégias de computação seqüenciais e paralelas sobre espaços coerentes / Sequential and parallel computational strategies of coherence spaces
As estruturas de dados concretas (cds) são quaternas (C, V, E, l-) que contêm um conjunto C de células, um conjunto V de valores, um conjunto E de eventos e uma relação de habilitação l-. O conjunto de estados de uma cds é um domínio concreto que pode ser considerada a parte "abstrata" das cds. Da mesma maneira tem-se que os domínios de eventos (qu
Publicado em: 2010
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6. Hardware/Software codesign of particle filter for real time localization of mobile robots / Co-projeto de hardware/software do filtro de partículas para localização em tempo real de robôs móveis
Sophisticated techniques for estimation of models based on simulation, particle filters or Sequential Monte Carlo Methods, were recently used to solve many difficult problems in the field of mobile robotics. However, the success of particle filters was limited to the computation of parameters in low dimensionality spaces. The current research efforts in mobi
Publicado em: 2010
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7. Sequential quadratic programming and constraint qualification / Programação quadratica sequencial e condições de qualificação
In the context of constrained optimization problems, we face the optimality conditions and also constraint qualification. Our aim is to study with details several constraint qualification, highlighting the constant positive linear dependence condition, and its influence in Sequential Quadratic Programming algorithms convergence. The relevance of this study i
Publicado em: 2009
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8. A filter SQP algorithm without a feasibility restoration phase
In this paper we present a filter sequential quadratic programming (SQP) algorithm for solving constrained optimization problems. This algorithm is based on the modified quadratic programming (QP) subproblem proposed by Burke and Han, and it can avoid the infeasibility of the QP subproblem at each iteration. Compared with other filter SQP algorithms, our alg
Computational & Applied Mathematics. Publicado em: 2009
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9. Sequential optimality conditions / Condições sequenciais de otimalidade
We study optimality conditions generated by the external penalty, internal penalty, internal-external penalty and inexact restoration algorithms, and we show relations with the CPLD, a new constraint qualification strictly weaker than the Mangasarian-Fromovitz condition and the constant rank condition of Janin. We extend the result of the classical Carathéo
Publicado em: 2009
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10. Estudo comparativo de métodos geoestatísticos de estimativas e simulações estocásticas condicionais / Comparative study of geostatistical estimation methods and conditional stochastic simulations
Different geostatistical methods present themselves as the optimal solution to different realities according to the characteristics displayed by the data in analysis. Some of the most popular estimation methods include ordinary kriging and lognormal ordinary kriging, this last one involving the transformation of data from their original space to a Gaussian d
Publicado em: 2009
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11. Evaluation of optimal and suboptimal feature selection methods applied to image textures / Avaliação de métodos ótimos e subótimos de seleção de características de texturas em imagens
Texture features are eficient image descriptors and can be employed in a wide range of applications, such as classification and segmentation. However, when the number of features is considerably high, pattern recognition tasks may be compromised. Feature selection helps prevent this problem, as it can be used to reduce data dimensionality and reveal features
Publicado em: 2008
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12. RELIABILITY-BASED DESIGN OPTIMIZATION OF REINFORCED CONCRETE PLANE FRAMES / PROJETO ÓTIMO BASEADO EM CONFIABILIDADE DE PÓRTICOS PLANOS DE CONCRETO ARMADO
This work compares the Deterministic Design Optimization (DDO) with the Reliability-Based Design Optimization (RBDO) of reinforced concrete plane frames. The structure is modeled by a finite element mesh using bar elements and considering both geometric and material nonlinearities. In the formulation of the proposed optimization problem the design variables
Publicado em: 2008