Pattern recognition issues on anisotropic smoothed particle hydrodynamics

This is a preliminary theoretical discussion on the computational requirements of the state of the art smoothed particle hydrodynamics (SPH) from the optics of pattern recognition and artificial intelligence. It is pointed out in the present paper that, when including anisotropy detection to improve resolution on shock layer, SPH is a very peculiar case of unsupervised machine learning. On the other hand, the free particle nature of SPH opens an opportunity for artificial intelligence to study particles as agents acting in a collaborative framework in which the timed outcomes of a fluid simulation forms a large knowledge base, which might be very attractive in computational astrophysics phenomenological problems like self-propagating star formation.

Recognition of two morpho-types in eastern South American brackens (Pteridium-Dennstaedtiaceae-Polypodiopsida)

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Proposta teórico-metodológica para análise de inserções parentéticas em chat educacional no ensino de língua espanhola =: Propuesta teórico-metodológica para el análisis de inserciones parentéticas en chat educacional en la enseñanza de lengua española

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Deep learning architecture for gesture recognition

Pós-graduação em Engenharia Mecânica - FEG

Patologias sociais contemporâneas: os paradoxos da modernidade na sociedade brasileira do século XXI e a luta social contra a figura do diabo

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Scanning Electron Microscopy of Male Terminalia and Its Application to Species Recognition and Phylogenetic Reconstruction in the Drosophila saltans Group

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

Heterorhabditis amazonensis RSC5 (Rhabditida: Heterorhabditidae) movement and host recognition

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Conflitos e conciliações: a relação da personagem Blanche DuBois, de Streetcar Named Desire, com a sociedade americana moderna

This paper presents a reflection on the relationship of the character Blanche DuBois, the protagonist of Tennessee Williams’s play A Streetcar Named Desire, with the society in which she is inserted. There is also a brief analysis of the construction of this character. To do this, the historical context of both the play and the author were studied, as well as his biography, which has great relevance in his work, and also a concise analysis of the elements presented in the literary work itself. In order to have an overview of Blanche, a few lines of this character were collected, as well as the lines of other characters that refer to her and some opposing viewpoints. The aim of this paper is to confront the character’s psychological and social conflicts, setting them in the context of modern American society

Reconhecimento de voz para aplicações em automação implementado em FPGA

In many movies of scientific fiction, machines were capable of speaking with humans. However mankind is still far away of getting those types of machines, like the famous character C3PO of Star Wars. During the last six decades the automatic speech recognition systems have been the target of many studies. Throughout these years many technics were developed to be used in applications of both software and hardware. There are many types of automatic speech recognition system, among which the one used in this work were the isolated word and independent of the speaker system, using Hidden Markov Models as the recognition system. The goals of this work is to project and synthesize the first two steps of the speech recognition system, the steps are: the speech signal acquisition and the pre-processing of the signal. Both steps were developed in a reprogrammable component named FPGA, using the VHDL hardware description language, owing to the high performance of this component and the flexibility of the language. In this work it is presented all the theory of digital signal processing, as Fast Fourier Transforms and digital filters and also all the theory of speech recognition using Hidden Markov Models and LPC processor. It is also presented all the results obtained for each one of the blocks synthesized e verified in hardware

A brief look at the least-squares approach as a classifier applied to restricted-vocabulary speech recognition

In this letter, a speech recognition algorithm based on the least-squares method is presented. Particularly, the intention is to exemplify how such a traditional numerical technique can be applied to solve a signal processing problem that is usually treated by using more elaborated formulations.

Revisão da seção setacea do gênero Batrachospermum (Rhodophyta, Batrachospermales)

Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)

The Cuticular Hydrocarbons Profiles in the Colonial Recognition of the Neotropical Eusocial Wasp, Mischocyttarus cassununga (Hymenoptera: Vespidae)

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Frontal sinus recognition for human identification

Many methods based on biometrics such as fingerprint, face, iris, and retina have been proposed for person identification. However, for deceased individuals, such biometric measurements are not available. In such cases, parts of the human skeleton can be used for identification, such as dental records, thorax, vertebrae, shoulder, and frontal sinus. It has been established in prior investigations that the radiographic pattern of frontal sinus is highly variable and unique for every individual. This has stimulated the proposition of measurements of the frontal sinus pattern, obtained from x-ray films, for skeletal identification. This paper presents a frontal sinus recognition method for human identification based on Image Foresting Transform and shape context. Experimental results (ERR = 5,82%) have shown the effectiveness of the proposed method.

A efetivação do direito humano fundamental ao meio ambiente cibernético do trabalho

Pós-graduação em Direito - FCHS

Master Conservationist Presentations - 2003

We begin our Master Conservationist recognition in Production Agriculture with the Buskirk Family of Hemingford in the Panhandle. Will David and Toni Buskirk, Dean and Sonya Buskirk, Chad Buskirk, and Dustin and Shelly McConville, please come forward? They started with a half-section which has grown to 2,855 acres, as well as a tree-planting business. The family formed a partnership in 1995 and named it “Trees are Us” in 1998. They have used no-till farming on 1,000 acres of cropland since 1980 and planted over 165,000 trees. A low-pressure irrigation system saves about 400 acre inches of water every growing season. They built their own no-till tree planter for differing soil conditions and a machine to install biodegradable weed barriers. Their enthusiasm for trees is contagious as they visit with others and perform volunteer work in the area. Their unique tree planting equipment is made available nationwide, which results in the planting of more than 2 million trees in over 10 states annually. Congrats to the Buskirks.