Ernande Melo- Doctor of Engineering
- Doctorate in Engineering (PDEng) at Universidade do Estado do Amazonas
Ernande Melo
- Doctor of Engineering
- Doctorate in Engineering (PDEng) at Universidade do Estado do Amazonas
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About
20
Publications
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Introduction
My name is Ernande Ferreira de Melo. My education is Undergraduate: Bachelor in Physics and Electrical Engineering, from the Federal University of Amazonas (UFAM) Master's degree in Networks at the Federal University of Minas Gerais (UFMG) Doctorate degree: Photonics - Surface Pasmon Resonance at the Federal University of Pernambuco (UFPE).
Articles Layer Model Applied to Physics, An Overview of Self-Similar Traffic: Its Implications in the Network Design and soft Spring are the most relevant
Skills and Expertise
Current institution
Publications
Publications (20)
The design of diffraction gratings is a critical challenge in numerous fields of applied optics, including integrated optics, spectroscopy, and plasmonics. This work introduces a novel strategy for optimizing the design of diffraction-based plasmonic sensors. The proposed Harmonic Minimization Method bridges low-complexity diffraction formalisms wi...
No artigo anterior apresentamos a proposta de um modelo de camadas aplicado à Física [1]. Neste artigo continuamos a construção do modelo, focando na comunicação entre as camadas, definindo protocolos para troca de mensagens entre as camadas e, uma melhor definição das funções de cada camada. Também testa-mos o modelo ajustado com exemplos mais det...
As diversas áreas que compõem o domínio da Física clássica, tais como termodinâmica, mecânica e eletromagnetismo são frequentemente abordadas a partir da perspectiva das Leis de Newton, Conservação de energia e Quantidades de Movimento. Unificar a abordagem destas áreas em um modelo de camadas pode ser um facilitador tanto para a investigação como...
Reconhecimento de Imagens é um tema recorrente na área de visão computacional e atualmente incorpora elementos de Inteligência Artificial (IA). Entretanto frequentemente as imagens são tratadas de modo específico, com os algoritmos explorando alguma característica da imagem, seja no pré-processamento ou no reconhecimento, como por exemplos, algorit...
In this work, the spectral dependence of optimum parameters of the surface plasmon resonance (SPR) effect on metallized sinusoidal diffraction gratings, under normal incidence, was determined using the particle swarm optimization method. The method was chosen due to its simplicity and effectiveness in providing reliable results, relative to direct...
In this article we will show that the characteristics and functionalities of a blockchain data structure, although developed in the application layer, are similar to those of the Transmission Control Protocol (TCP) in the Transport Layer. The TCP protocol is characterised by a point-to-point connection, reliable delivery, through validation mechani...
Sistema Baropodométricos estão utilizando a área de IA, mais especificamente o aprendizado de máquinas para a classificação de tipo e pisada a partir de dados coletados por sensores. Observamos, na maioria dos trabalhos encontrados na literatura, o uso de Redes Neurais tipo MLP, para o processo de classificação, o que requer uma grande quantidade d...
Reconhecimento de Imagens é um tema recorrente na área de visão computacional. Passou por várias abordagens estatísticas como a Análise de Componentes Principais (PCA), e suas variantes. Atualmente incorpora elementos de Inteligência Artificial, mais especificamente, Machine Learning. De um modo geral o processo de reconhecimento tem uma fase de pr...
A integração entre Machine Learning (ML) e os
Sistemas Fuzzy é um tema corrente na área de Inteligência
Artificial (IA) principalmente em relação aos métodos
dedutivo do Sistema Fuzzy e indutivo de ML. Este artigo
apresenta um experimento que integra essas duas
abordagens, mostrando que elas podem ser complementares.
O experimento consiste em...
The knowledge about the true nature of the traffic in computer networking is a key requirement in the design of such networks. The phenomenon of self-similarity is a characteristic of the traffic of current client/server packet networks in LAN/WAN environments dominated by network technologies such as Ether- net and the TCP/IP protocol stack. The d...
The knowledge about the true nature of the traffic in computer networking is a key requirement in the design of such networks. The phenomenon of self-similarity is a characteristic of the traffic of current client/server packet networks in LAN/WAN environments dominated by network technologies such as Ethernet and the TCP/IP protocol stack. The dev...
A cornucopia of physics domains such as thermodynamics, mechanics and electromagnetism is often addressed from the perspective of Newton's Laws, conservation of energy and momenta quantities. Unifying the approach to theses issues in a layered model can be a facilitating approach for both research and learning in this area.
Metal grating parameters are calculated for the development of SPR sensors having maximum response at normal incidence. Example results are shown for gold surfaces for operation in gaseous and aqueous media
Optical sensors based on the surface plasmon resonance (SPR) effect are generally designed in a prism coupling configuration. Metal gratings can also be used to support surface plasmons, in turn allowing for the design of alternative, SPR based, sensor configurations. Determination of design parameters for developing such sensors is an important st...
This paper presents a novel approach for deciding on the appropriateness or not of an acquired fingerprint image into a given database. The process begins with the assembly of a training base in an image space constructed by combining Principal Component Analysis (PCA) and edge detection. Then, the parameter value (H) – a new feature that helps in...
