Locais de implante de microchips de identificação eletrônica de leitões: seleção e validação por análise de imagem

Nas últimas décadas, a produção de suínos, pressionada por uma crescente demanda por alimentos, tem-se caracterizado pela maior concentração de animais em grandes unidades de produção, dificultando o registro dos dados individuais. Os sistemas automáticos de identificação eletrônica podem auxiliar a detecção de doenças, a avaliação de respostas fisiológicas, o controle de ingestão de alimentos, a atividade física e ainda o impacto ambiental causado pelo sistema de produção, promovendo melhor controle da propriedade. Transponders injetáveis, brincos eletrônicos e o monitoramento por meio da análise de imagem estão sendo utilizados no processo de identificação. O objetivo desta pesquisa foi avaliar os diferentes locais de implante subcutâneo de microchips em leitões, verificando-se possíveis infecções e/ou rejeições, migrações dos microchips em relação ao local de implante e sua validação em relação à análise de imagem.

An attack signature model to computer security intrusion detection

Internal and external computer network attacks or security threats occur according to standards and follow a set of subsequent steps, allowing to establish profiles or patterns. This well-known behavior is the basis of signature analysis intrusion detection systems. This work presents a new attack signature model to be applied on network-based intrusion detection systems engines. The AISF (ACME! Intrusion Signature Format) model is built upon XML technology and works on intrusion signatures handling and analysis, from storage to manipulation. Using this new model, the process of storing and analyzing information about intrusion signatures for further use by an IDS become a less difficult and standardized process.

Reconhecimento semiautomático de dentes para a identificação humana forense

Pós-graduação em Ciência da Computação - IBILCE

Reconhecimento de fragmentos de impressões digitais baseado em cristas e poros

Pós-graduação em Ciência da Computação - IBILCE

Sistema biométrico de identificação de pessoas utilizando poros e minúcias de impressões digitais

The use of physical characteristics for human identification is known as biometrics. Among the many biometrics traits available, the fingerprint is the most widely used. The fingerprint identification is based on the impression patterns, as the pattern of ridges and minutiae, characteristics of first and second levels respectively. The current identification systems use these two levels of fingerprint features due to the low cost of the sensors. However, the recent advances in sensor technology, became possible to use third level features present within the ridges, such as the perspiration pores. Recent studies show that the use of third-level features can increase security and fraud protection in biometric systems, since they are difficult to reproduce. In addition, recent researches have also focused on multibiometrics recognition due to its many advantages. The goal of this research project was to apply fusion techniques for fingerprint recognition in order to combine minutia, ridges and pore-based methods and, thus, provide more robust biometrics recognition systems, and also to develop an automated fingerprint identification system using these three methods of recognition. We evaluated isotropic-based and adaptive-based automatic pore extraction methods, and the fusion of pore-based method with the identification methods based on minutiae and ridges. The experiments were performed on the public database PolyUHRF and showed a reduction of approximately 16% in the EER compared to the best results obtained by the methods individually

Avaliação de projetos logísticos de RFID aplicados na indústria aeronáutica brasileira

Pós-graduação em Engenharia Mecânica - FEG

Controle de Acesso utilizando Arduino, banco de dados MySQL e LabVIEW

The search for more reliable security systems and information management of these systems is leading to a growing progress in new technologies investments that allow the implementation of equipment with a high level of reliability, but also have an agile and practical operation. This led people to turn increasingly looking for home automation systems, enterprise and industry for the automation and integration of their systems. The identification by radio frequency is very widespread today for ensuring both agility in handling records data, the reliability of their identification systems, which are increasingly advanced and less susceptible to fraud. Attached to this technology, the use of the database is always very important for the storage of information collected, the area where the MySQL platform is widely used. Using the open source Arduino platform for programming and manipulation of RFID module and LabVIEW software for the union of all these technologies and to develop a user-friendly interface, you can create a highly reliable access control and agility places a high turnover of people. This project aims to prove the advantages of using all these technologies working together, thus improving a flawed system effectively safety, cheaper and quicker

Transcriptomics and systems biology analysis in identification of specific pathways involved in cacao resistance and susceptibility to witches' broom disease

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Detection and Identification of Abnormalities in Customer Consumptions in Power Distribution Systems

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Identification of Mechanical Systems through Kautz Filter

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

Harmonic identification using parallel neural networks in single-phase systems

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

An approach based on neural networks for identification of fault sections in radial distribution systems

The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process of faults in electric power distribution systems. The developed techniques to treat the proposed problem have used, in an integrated way, several approaches that can contribute to the successful detection process of faults, aiming that it is carried out in a reliable and safe way. The compilations of the results obtained from practical experiments accomplished in a pilot radial distribution feeder have demonstrated that the developed techniques provide accurate results, identifying and classifying efficiently the several occurrences of faults observed in the feeder.

Fault identification in distribution lines using intelligent systems and statistical methods

The main objective involved with this paper consists of presenting the results obtained from the application of artificial neural networks and statistical tools in the automatic identification and classification process of faults in electric power distribution systems. The developed techniques to treat the proposed problem have used, in an integrated way, several approaches that can contribute to the successful detection process of faults, aiming that it is carried out in a reliable and safe way. The compilations of the results obtained from practical experiments accomplished in a pilot distribution feeder have demonstrated that the developed techniques provide accurate results, identifying and classifying efficiently the several occurrences of faults observed in the feeder. © 2006 IEEE.

Harmonic content identification based on neural method for single phase power systems

An alternative method is presented in this paper to identify the harmonic components of non-linear loads in single phase power systems based on artificial neural networks. The components are identified by analyzing the single phase current waveform in time domain in half-cycle of the ac voltage source. The proposed method is compared to the fast Fourier transform. Simulation and experimental results are presented to validate the proposed approach.

Fast identification of individuals based on iris characteristics for biometric systems

Nowadays, systems based on biométrie techniques have a wide acceptance in many different areas, due to their levels of safety and accuracy. A biometrie technique that is gaining prominence is the identification of individuals through iris recognition. However, to be proficiently used these systems must process their recognition task as fast as possible. The goal of this work has been the development of an iris recognition method to produce results rapidly, yet without losing the recognition accuracy. The experimental results show that the method is quite promising. © 2012 Taylor & Francis Group.