Ernande Ernande_Melo | Universidade do Estado do Amazonas (original) (raw)

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Papers by Ernande Ernande_Melo

Research paper thumbnail of Reconhecimento de Imagens: uma abordagem adaptativa: com segmentação, correlação, vizinhos mais próximos

Reconhecimento Imagens : Nova Abordagem, 2024

Reconhecimento de Imagens é um tema recorrente na área de visão computacional e atualmente incorp... more 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, algoritmos específicos para reconhecimento de diversos tipos de biometria, outros para reconhecimento de imagens médica, outros para reconhecimento de defeitos em placas de circuitos elétricos/eletrônicos, entre outros. Neste artigo é proposto um algoritmo adaptativo para o reconhecimento de imagens, através da combinação de elementos estatísticos, Inteligência Artificial (IA), Segmentação de imagem e uma nova abordagem para classificação das imagens através de uma hierarquia de diretórios onde a classificação é feita pela localização da pasta que contém um conjunto elementos da mesma imagem pesquisada.

Research paper thumbnail of Particle swarm optimizer for the surface plasmon resonance effect on metal gratings

Applied Optics

In this work, the spectral dependence of optimum parameters of the surface plasmon resonance (SPR... more 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 search or gradient methods. The Rayleigh’s hypothesis, which restricts the analysis to the case of shallow gratings, is used to model the diffracted fields across the interface between the sensing medium and metal. A penalty function was applied to avoid the occurrence of singularities and violation of the validity of the Rayleigh hypothesis. Using this procedure, the optimum values of grating periodicity and amplitude that maximized the sensitivity function for gold, silver, copper, and aluminum—metals that yield high quality factor SPR effects—were determined in a wavelength range between 500 and 1600 nm, for both gaseous and aqueous sen...

Research paper thumbnail of Layer Model Applied to Physics

A cornucopia of physics domains such as thermodynamics, mechanics and electromagnetism is often a... more 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.

Research paper thumbnail of Design of Surface Plasmon Resonance Sensors Having Maximum Response at Normal Incidence

Frontiers in Optics 2012/Laser Science XXVIII, 2012

Metal grating parameters are calculated for the development of SPR sensors having maximum respons... more 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

Research paper thumbnail of An Overview of Self-Similar Traffic: Its Implications in the Network Design

The knowledge about the true nature of the traffic in computer networking is a key requirement in... more 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 development of networks traffic simulators, which take into account this attribute, is necessary for a more realistic description the traffic on these networks and their use in the design of resources (contention elements) and protocols of flow control and network congestion. In this scenario it is recommended do not adopt standard traffic models of the Poisson type.

Research paper thumbnail of Design of Surface Plasmon Resonance Sensors Having Maximum Response at Normal Incidence

Research paper thumbnail of An Overview of Self-Similar Traffic: Its Implications in the Network Design

Revista de Tecnologia da Informação e Comunicação, maio 2020., 2020

The knowledge about the true nature of the traffic in computer networking is a key requirement in... more 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 development of networks traffic simulators, which take into account this attribute, is necessary for a more realistic description the traffic on these networks and their use in the design of resources (contention elements) and protocols of flow control and network congestion. In this scenario it is recommended do not adopt standard traffic models of the Poisson type.

Research paper thumbnail of Layer Model Applied to Physics

A cornucopia of physics domains such as thermodynamics, mechanics and electromagnetism is often a... more 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.

Research paper thumbnail of A Fingerprint-based Access Control using Principal Component Analysis and Edge Detection

IEEE/SBrT International Telecommunication Symposium, ITS 2010, 2010

This paper presents a novel approach for deciding on the appropriateness or not of an acquired fi... more 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 the decision making about the relevance of a fingerprint image in databases – is derived from a relationship between Euclidean and Mahalanobian distances. This procedure ends with the lifting of the curve of the Receiver Operating Characteristic (ROC), where the thresholds defined on the parameter H are chosen according to the acceptable rates of false positives and false negatives.

Research paper thumbnail of A Fingerprint-based Access Control using Principal Component Analysis and Edge Detection

Research paper thumbnail of Reconhecimento de Imagens: uma abordagem adaptativa: com segmentação, correlação, vizinhos mais próximos

Reconhecimento Imagens : Nova Abordagem, 2024

Reconhecimento de Imagens é um tema recorrente na área de visão computacional e atualmente incorp... more 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, algoritmos específicos para reconhecimento de diversos tipos de biometria, outros para reconhecimento de imagens médica, outros para reconhecimento de defeitos em placas de circuitos elétricos/eletrônicos, entre outros. Neste artigo é proposto um algoritmo adaptativo para o reconhecimento de imagens, através da combinação de elementos estatísticos, Inteligência Artificial (IA), Segmentação de imagem e uma nova abordagem para classificação das imagens através de uma hierarquia de diretórios onde a classificação é feita pela localização da pasta que contém um conjunto elementos da mesma imagem pesquisada.

Research paper thumbnail of Particle swarm optimizer for the surface plasmon resonance effect on metal gratings

Applied Optics

In this work, the spectral dependence of optimum parameters of the surface plasmon resonance (SPR... more 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 search or gradient methods. The Rayleigh’s hypothesis, which restricts the analysis to the case of shallow gratings, is used to model the diffracted fields across the interface between the sensing medium and metal. A penalty function was applied to avoid the occurrence of singularities and violation of the validity of the Rayleigh hypothesis. Using this procedure, the optimum values of grating periodicity and amplitude that maximized the sensitivity function for gold, silver, copper, and aluminum—metals that yield high quality factor SPR effects—were determined in a wavelength range between 500 and 1600 nm, for both gaseous and aqueous sen...

Research paper thumbnail of Layer Model Applied to Physics

A cornucopia of physics domains such as thermodynamics, mechanics and electromagnetism is often a... more 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.

Research paper thumbnail of Design of Surface Plasmon Resonance Sensors Having Maximum Response at Normal Incidence

Frontiers in Optics 2012/Laser Science XXVIII, 2012

Metal grating parameters are calculated for the development of SPR sensors having maximum respons... more 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

Research paper thumbnail of An Overview of Self-Similar Traffic: Its Implications in the Network Design

The knowledge about the true nature of the traffic in computer networking is a key requirement in... more 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 development of networks traffic simulators, which take into account this attribute, is necessary for a more realistic description the traffic on these networks and their use in the design of resources (contention elements) and protocols of flow control and network congestion. In this scenario it is recommended do not adopt standard traffic models of the Poisson type.

Research paper thumbnail of Design of Surface Plasmon Resonance Sensors Having Maximum Response at Normal Incidence

Research paper thumbnail of An Overview of Self-Similar Traffic: Its Implications in the Network Design

Revista de Tecnologia da Informação e Comunicação, maio 2020., 2020

The knowledge about the true nature of the traffic in computer networking is a key requirement in... more 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 development of networks traffic simulators, which take into account this attribute, is necessary for a more realistic description the traffic on these networks and their use in the design of resources (contention elements) and protocols of flow control and network congestion. In this scenario it is recommended do not adopt standard traffic models of the Poisson type.

Research paper thumbnail of Layer Model Applied to Physics

A cornucopia of physics domains such as thermodynamics, mechanics and electromagnetism is often a... more 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.

Research paper thumbnail of A Fingerprint-based Access Control using Principal Component Analysis and Edge Detection

IEEE/SBrT International Telecommunication Symposium, ITS 2010, 2010

This paper presents a novel approach for deciding on the appropriateness or not of an acquired fi... more 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 the decision making about the relevance of a fingerprint image in databases – is derived from a relationship between Euclidean and Mahalanobian distances. This procedure ends with the lifting of the curve of the Receiver Operating Characteristic (ROC), where the thresholds defined on the parameter H are chosen according to the acceptable rates of false positives and false negatives.

Research paper thumbnail of A Fingerprint-based Access Control using Principal Component Analysis and Edge Detection