A5063494925- Image and Signal Denoising Methods
- ECG Monitoring and Analysis
- Speech and Audio Processing
- Advanced Image Fusion Techniques
- Education Pedagogy and Practices
- Control Systems and Identification
- Blind Source Separation Techniques
- Digital Filter Design and Implementation
- Science and Education Research
- Geography and Environmental Studies
- Cardiac electrophysiology and arrhythmias
- Fault Detection and Control Systems
- Chemistry Education and Research
- Advanced Data Compression Techniques
- Advanced Algorithms and Applications
- Voice and Speech Disorders
- Machine Fault Diagnosis Techniques
- Structural Health Monitoring Techniques
- Cardiac Arrhythmias and Treatments
- Spectroscopy and Chemometric Analyses
- Multi-Criteria Decision Making
- Business and Management Studies
- Education and Digital Technologies
- Academic Research in Diverse Fields
- Electromagnetic Compatibility and Noise Suppression
Universidade Estadual de Mato Grosso do Sul
2013-2024
European Union of Medical Specialists
2013-2024
Universidade Federal de Mato Grosso do Sul
2021
Fuzzy Systems Institute
2019
Universidade Estadual Paulista (Unesp)
2019
Águas de Portugal (Portugal)
2019
Leonardo (United Kingdom)
2017
Instituto Tecnológico de Aeronáutica
2017
Extreme weather events, such as severe droughts, pose a threat to the sustainability of beef cattle by limiting growth and development forage plants reducing available pasture for animals. Thus, search species that are more tolerant adapted soil water deficit conditions is an important strategy improve food supply. In this study, we propose utilizing mathematical concept Manhattan distance assess variations in morphological variables tropical grasses under water-limited conditions. This...
Introduction The analysis of electrocardiogram (ECG) signals allows the experts to diagnosis several cardiac disorders. However, accuracy such diagnostic depends on quality. In this paper it is proposed a simple method for power-line interference (PLI) removal based wavelet decomposition, without use thresholding techniques. Methods This consists in identifying ECG and noise frequency range further zeroing detail coefficients subbands with no content. Afterward, enhanced signal obtained by...
The Analytic Hierarchy Process (AHP) is the most commonly used method for solving multi-criteria decision-making problems worldwide. Although AHP offers many advantages with several alternatives and criteria, pairwise comparisons require considerable effort. State-of-the-art methodologies have demonstrated that suitable automating decisions on tabular data. Considering it, this paper proposes a new approach to in both automated semi-automated ways. For approach, formulas are proposed...
In this work, a comparative analysis between Gaussian and Golden wavelets is presented. These are generated by the derivative of specific base functions. case, order also indicates number vanishing moments wavelet. Although these have similar waveform, they several distinct characteristics in time frequency domains. distinctions explored here scale space. to compare results provided for real signal, used decomposition signal inserted context structural health monitoring.
The current work discusses the compositional analysis of spectra that may be related to amorphous materials lack discernible Lorentzian, Debye or Drude responses. We propose model such response using a 3-dimensional random RLC network descriptor formulation which is converted into an input-output transfer function representation. A wavelet identification study these networks performed infer composition networks. It was concluded filter banks enable parsimonious representation dynamics in...
This paper presents a wavelet-based fault detection approach where wavelet parameters are optimized in order to minimize the residue nominal operating conditions and maximize it faulty conditions. For this purpose bi-objective optimization procedure is used. By taking into account effects of proposed procedure, sensitivity detector improved delay reduced. illustration, simulated example involving sensor 747 aircraft presented.
Algorithms for blind source separation have been extensively studied in the last years. This paper proposes use of multiresolution analysis three decomposition levels wavelet transform, such as a preprocessing step, and AMUSE algorithm to separate signals distinct resolution. The results show that there is an improvement estimation mixing matrix even noisy environment if compared only.
O objetivo deste artigo é apresentar uma proposta de ensino para alguns conteúdos da disciplina Análise Real um curso Matemática, licenciatura. Uma das críticas aos cursos formação inicial professores Matemática em relação à desarticulação dos saberes matemáticos abordados algumas disciplinas com os que compõem a estrutura curricular Educação Básica. Muitas vezes esses transitam sala aula sem as devidas adaptações e/ou transformações necessitariam atingir objetivos diferentes contextos...
Este artigo tem como objetivo apresentar resultados de um projeto extensão desenvolvido com foco na formação continuada professores que ensinam matemática. O foi para atender a uma demanda das escolas Cassilândia-MS, apresentada ao curso Matemática da UEMS/Cassilândia, solicitando realizasse encontros os trabalhar conceitos matemáticos usando metodologias diferenciadas. Essa solicitação se materializou no geral do projeto: contribuir participantes e ministrantes refletissem/repensassem sobre...
<pre><!--StartFragment--><span>This</span> article <span>presents</span> <span>an</span> <span>improvement</span> to <span>the</span> <span>formulation</span> <span>of</span> <span>Sherlock</span> and <span>Monro</span> for <span>wavelet</span> <span>parameterization</span> <span>obtainment</span> <span>restrictions</span>...
The dual-tree complex wavelet transform is considered a relatively recent improvement for the discrete transform. In this paper, applicability of such in problem speech enhancement evaluated. For purpose, nonthreshold scheme proposed. Two filters, one imaginary part and other real coefficients were designed. These two filters then averaged to obtain final filter. A uniform noise reduction was performed all scales. Simulation results show that, together, nonthresholding obtained consistently results.
This work presents a new methodology for ventricular premature contraction arrhythmias recognition using set of geometrical attributes recently proposed and fuzzy maximum approaching degree. Pattern models based on triangular trapezoidal membership functions are committee comprising these is composed some statistical data, beyond mechanism manual selection automatic weighting each attribute. The obtained results show the efficiency validity approach, with 99.07%, 98.36% 99.79% accuracy,...
Premature Ventricular Contraction is an arrhythmia that can be associated with several cardiac disorders affect from 40% to 75% of the general population. occurrence diagnosed Electrocardiogram. If in Electrocardiogram one (or two) occurs between two Normal heartbeats, then there a Bigeminy Trigeminy). The prevalence Bigeminy/Trigeminy rhythms angina, hypertension, congestive heart failure and myocardial infarction. In this work it proposed new approach for these early diagnosis using...
ste artigo apresenta uma proposta de inserção e extração marca d’água em imagens digitais baseada na transformada wavelet. A da é feita sub-banda alta frequência que contém os coeficientes detalhes horizontais imagem hospedeira obtida após ser decomposta pela wavelet discreta bidimensional no primeiro nível decomposição. Tal subbanda novamente antes d’água. O processo criptográfico inclui a divisão blocos, um algoritmo codificação, troca posições elementos alocação aleatória dos blocos...
Este trabalho analisa o desempenho de tres tecnicas existentes cujos resultados na manipulacao marca d’agua sao satisfatorios. A primeira tecnica a ser analisada e proposta por Cox et al. [4]. Esta uma das pioneiras neste assunto usa da transformada discreta cossenos (DCT) decomposicao imagem hospedeira. segunda mais evoluida, trabalha com binaria, porem aleatoria, faz usando wavelet (DWT), tal metodo foi proposto Joo [5]. E, ultimo, Hajjara [6] que trata como sendo binaria aplica funcoes...
Neste trabalho, considera-se uma função racional cujo numerador e denominador são polinômios com coeficientes de Fibonacci. O principal objetivo é mostrar que a derivada quarta dessa obtida partir dos Fibonacci wavelet.
que permite obter uma imagem com menor degradação visual em relação ao processamento feito a db6 e retorna menos coeficientes na decomposição wavelet, fazendo o vetor de armazenamento ocupe espaço.Outro diferencial deste trabalho aos artigos revisados está no uso mais duas métricas avaliação da qualidade das imagens reconstruídas, sendo elas erro quadrático médio
utilizam a lógica fuzzy para encontrar respostas ou
O programa institucional de bolsa iniciação a docência (PIBID), criado em 2009 pelo Ministério da Educação, busca inserir o estudante licenciatura seu futuro ambiente trabalho durante processo formação, dividido subprojetos por cursos graduação. Este tem como objetivo relatar experiências vivenciadas atividades desenvolvidas no PIBID um subprojeto matemática ao longo 7 anos. Durante este período execução foram envolvendo acadêmicos, professores e alunos três escolas estaduais do município...