Avaliação da eficiência de dois programas na eliminação de ruído para técnica de subtração

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Interaction of Maternal Separation on the UCh Rat Cerebellum

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

A educação de jovens e adultos: desafios de uma proposta de educação inclusiva: perfil do aluno

The inclusion of students with disabilities in youth and adult education is still new and there is little literature on the issue, which makes it both nationally relevant, and timely in the context of the construction of inclusive schools for all. The present study aimed to characterize the profile of the student of Youth and Adult Education in a medium size city of São Paulo, between the years 2011 and 2013. For the study documentary analysis was carried out using the Student Registration System of the State of São Paulo (PRODESP) for the study. A roadmap for the characterization of students was used, as a research instrument. It was possible to obtain data regarding the total enrolment per year, number of students with disabilities, types of disabilities, gender and age. Youth and Adult Education’s search for people with disabilities is increasing and accordingly, we observe that the target audience of YAE today has changed, including people with disabilities, indicating the need to consider development of teaching practices in line with the needs and demands of new YAE students.

Comparação entre o índice de reprovação entre os sistemas de matrícula Seriado e Crédito da Faculdade de Engenharia de Guaratinguetá

The Engineering Education in Brazil is constantly changing since its inception always aiming to meet the market demand for this type of professional. To meet this market demand, the institutions of engineering education to bring within their organizations as the new curriculum guidelines Registration System. In 2008 the Faculdade of Guaratinguetá entered its new Registration System, from series to Credit. The failure rate for each system will be the basis for understanding what the best system for this institution

Experiências inclusivas na educação de jovens e adultos em um município do interior paulista

Pós-graduação em Educação - FFC

Educação física escolar e currículo do Estado de São Paulo: possibilidades dos usos do celular como recurso pedagógico no ensino do Hip Hop e Street dance

Pós-graduação em Desenvolvimento Humano e Tecnologias - IBRC

Diagnóstico de situação das práticas de manejo sanitário em sistemas de produção de bovinos de corte

We interviewed 21 farmers in order to access which sanitary practices adopted in the production systems of beef cattle on farms located in São Paulo, Mato Grosso, Mato Grosso do Sul and Rondonia. The survey was conducted through a qualitative approach to the collection of data obtained through questionnaire and personal interview with the landowners. We questioned the attitudes and sanitation procedures in these current production systems such as veterinary assistance, preventive health practices and disease surveillance, knowledge of health hazards for the safe production of food, animal feed, vaccine and immunizations, registration system, measures with newborns, products used in the environment and animals, grace period, employee training, destination of the dead animals, among others. Along with the data found that only 30% of properties had veterinary care, 67% said they meet the expiration dates of the products, although it was not mentioned on the products if there were any. In only 48% of properties were veterinarians who prescribed drugs to animals. Only two of the owners confirmed buying and using expired products in animals and only 48% have received some training on the property. In this setting, it is evident that farmers should be better prepared for insertion of its products in a highly demanding and competitive market. In this context, add value to the product depends mainly on the condition of sanitation of the herds.

Influência da Diabetes Mellitus na movimentação ortodôntica associada a doença periodontal: avaliação histomorfométrica em ratos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Influência da Diabetes Mellitus na movimentação ortodôntica associada a doença periodontal: avaliação histomorfométrica em ratos

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Class-specific metrics for multidimensional data projection applied to CBIR

Content-based image retrieval is still a challenging issue due to the inherent complexity of images and choice of the most discriminant descriptors. Recent developments in the field have introduced multidimensional projections to burst accuracy in the retrieval process, but many issues such as introduction of pattern recognition tasks and deeper user intervention to assist the process of choosing the most discriminant features still remain unaddressed. In this paper, we present a novel framework to CBIR that combines pattern recognition tasks, class-specific metrics, and multidimensional projection to devise an effective and interactive image retrieval system. User interaction plays an essential role in the computation of the final multidimensional projection from which image retrieval will be attained. Results have shown that the proposed approach outperforms existing methods, turning out to be a very attractive alternative for managing image data sets.

Materno-infantilism, feminism and maternal health policy in Brazil

In the last days of 2011, President of Brazil Dilma Rousseff issued a provisional measure (or draft law) entitled "National Surveillance and Monitoring Registration System for the Prevention of Maternal Mortality" (MP 557), as part of a new maternal health programme. It was supposed to address the pressing issue of maternal morbidity and mortality in Brazil, but instead it caused an explosive controversy because it used terms such as nascituro (unborn child) and proposed the compulsory registration of every pregnancy. After intense protests by feminist and human rights groups that this law was unconstitutional, violated women's right to privacy and threatened our already limited reproductive rights, the measure was revised in January 2012, omitting "the unborn child" but not the mandatory registration of pregnancy. Unfortunately, neither version of the draft law addresses the two main problems with maternal health in Brazil: the over-medicalisation of childbirth and its adverse effects, and the need for safe, legal abortion. The content of this measure itself reflects the conflictive nature of public policies on reproductive health in Brazil and how they are shaped by close links between different levels of government and political parties, and religious and professional sectors. (C) 2012 Reproductive Health Matters

An anatomical analysis of the mini-modified orbitozygomatic and supra-orbital approaches

Seven sides of cadaver heads were used to compare the surgical exposures provided by the mini-modified orbitozygomatic (MOz) and supra-orbital (SO) approaches. The Optotrak 3020 computerized tracking system (Northern Digital, Waterloo, ON, Canada) was utilized to evaluate the area of anatomical exposure defined by six points: (1) ipsilateral sphenoid ridge; (2) most distal point of the ipsilateral middle cerebral artery (MCA); (3) most distal point of the ipsilateral posterior cerebral artery (PCA); (4) most distal point of the contralateral PCA; (5) most distal point of the contralateral MCA; and (6) contralateral sphenoid ridge. Additionally, angles of approach for the ipsilateral MCA bifurcation, ipsilateral ICA bifurcation, basilar artery tip, contralateral MCA and ICA bifurcation and anterior communicating artery (AcomA) were evaluated, first for SO and then for MOz. An image guidance system was used to evaluate the limits of surgical exposure. No differences in the area of surgical exposure were noted (p > 0.05). Vertical angles were significantly wider for the ipsilateral and contralateral ICA bifurcation, AcomA, contralateral MCA and basilar tip (p < 0.05) for MOz. No differences in horizontal angles were observed between the approaches for the six targets (p > 0.05). There were no differences in the limits of exposure. MOz affords no additional surgical working space. However, our results demonstrate systematically that vertical exposure is improved. The MOz should be performed while planning an approach to these regions and a wider exposure in the vertical axis is needed. (C) 2012 Elsevier Ltd. All rights reserved.

Methodologies for visual correspondence

Visual correspondence is a key computer vision task that aims at identifying projections of the same 3D point into images taken either from different viewpoints or at different time instances. This task has been the subject of intense research activities in the last years in scenarios such as object recognition, motion detection, stereo vision, pattern matching, image registration. The approaches proposed in literature typically aim at improving the state of the art by increasing the reliability, the accuracy or the computational efficiency of visual correspondence algorithms. The research work carried out during the Ph.D. course and presented in this dissertation deals with three specific visual correspondence problems: fast pattern matching, stereo correspondence and robust image matching. The dissertation presents original contributions to the theory of visual correspondence, as well as applications dealing with 3D reconstruction and multi-view video surveillance.

Classificazione di oggetti in immagini attraverso il modello Bag of Visual Words

Generic object recognition is an important function of the human visual system and everybody finds it highly useful in their everyday life. For an artificial vision system it is a really hard, complex and challenging task because instances of the same object category can generate very different images, depending of different variables such as illumination conditions, the pose of an object, the viewpoint of the camera, partial occlusions, and unrelated background clutter. The purpose of this thesis is to develop a system that is able to classify objects in 2D images based on the context, and identify to which category the object belongs to. Given an image, the system can classify it and decide the correct categorie of the object. Furthermore the objective of this thesis is also to test the performance and the precision of different supervised Machine Learning algorithms in this specific task of object image categorization. Through different experiments the implemented application reveals good categorization performances despite the difficulty of the problem. However this project is open to future improvement; it is possible to implement new algorithms that has not been invented yet or using other techniques to extract features to make the system more reliable. This application can be installed inside an embedded system and after trained (performed outside the system), so it can become able to classify objects in a real-time. The information given from a 3D stereocamera, developed inside the department of Computer Engineering of the University of Bologna, can be used to improve the accuracy of the classification task. The idea is to segment a single object in a scene using the depth given from a stereocamera and in this way make the classification more accurate.

Geophotohunt: Studio di algoritmi di confronto di immagini per realizzare una caccia al tesoro fotografica

Questo studio si propone di realizzare un’applicazione per dispositivi Android che permetta, per mezzo di un gioco di ruolo strutturato come caccia al tesoro, di visitare in prima persona città d’arte e luoghi turistici. Gli utenti finali, grazie alle funzionalità dell’app stessa, potranno giocare, creare e condividere cacce al tesoro basate sulla ricerca di edifici, monumenti, luoghi di rilevanza artistico-storica o turistica; in particolare al fine di completare ciascuna tappa di una caccia al tesoro il giocatore dovrà scattare una fotografia al monumento o edificio descritto nell’obiettivo della caccia stessa. Il software grazie ai dati rilevati tramite GPS e giroscopio (qualora il dispositivo ne sia dotato) e per mezzo di un algoritmo di instance recognition sarà in grado di affermare se la foto scattata rappresenta la risposta corretta al quesito della tappa. L’applicazione GeoPhotoHunt rappresenta non solo uno strumento ludico per la visita di città turistiche o più in generale luoghi di interesse, lo studio propone, infatti come suo contributo originale, l’implementazione su piattaforma mobile di un Content Based Image Retrieval System (CBIR) del tutto indipendente da un supporto server. Nello specifico il server dell’applicazione non sarà altro che uno strumento di appoggio con il quale i membri della “community” di GeoPhotoHunt potranno pubblicare le cacce al tesoro da loro create e condividere i punteggi che hanno totalizzato partecipando a una caccia al tesoro. In questo modo quando un utente ha scaricato sul proprio smartphone i dati di una caccia al tesoro potrà iniziare l’avventura anche in assenza di una connessione internet. L’intero studio è stato suddiviso in più fasi, ognuna di queste corrisponde ad una specifica sezione dell’elaborato che segue. In primo luogo si sono effettuate delle ricerche, soprattutto nel web, con lo scopo di individuare altre applicazioni che implementano l’idea della caccia al tesoro su piattaforma mobile o applicazioni che implementassero algoritmi di instance recognition direttamente su smartphone. In secondo luogo si è ricercato in letteratura quali fossero gli algoritmi di riconoscimento di immagini più largamente diffusi e studiati in modo da avere una panoramica dei metodi da testare per poi fare la scelta dell’algoritmo più adatto al caso di studio. Quindi si è proceduto con lo sviluppo dell’applicazione GeoPhotoHunt stessa, sia per quanto riguarda l’app front-end per dispositivi Android sia la parte back-end server. Infine si è passati ad una fase di test di algoritmi di riconoscimento di immagini in modo di avere una sufficiente quantità di dati sperimentali da permettere di effettuare una scelta dell’algoritmo più adatto al caso di studio. Al termine della fase di testing si è deciso di implementare su Android un algoritmo basato sulla distanza tra istogrammi di colore costruiti sulla scala cromatica HSV, questo metodo pur non essendo robusto in presenza di variazioni di luminosità e contrasto, rappresenta un buon compromesso tra prestazioni, complessità computazionale in modo da rendere la user experience quanto più coinvolgente.