Anchor Areas to Improve Conservation and Increase Connectivity within the Brazilian "Mesopotamia of Biodiversity"

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Optimum-Path Forest Classifier for Large Scale Biometric Applications

This paper addresses biometric identification using large databases, in particular, iris databases. In such applications, it is critical to have low response time, while maintaining an acceptable recognition rate. Thus, the trade-off between speed and accuracy must be evaluated for processing and recognition parts of an identification system. In this paper, a graph-based framework for pattern recognition, called Optimum-Path Forest (OPF), is utilized as a classifier in a pre-developed iris recognition system. The aim of this paper is to verify the effectiveness of OPF in the field of iris recognition, and its performance for various scale iris databases. The existing Gauss-Laguerre Wavelet based coding scheme is used for iris encoding. The performance of the OPF and two other - Hamming and Bayesian - classifiers, is compared using small, medium, and large-scale databases. Such a comparison shows that the OPF has faster response for large-scale databases, thus performing better than the more accurate, but slower, classifiers.

A Fast Large Scale Iris Database Classification with Optimum-Path Forest Technique: A Case Study

Majority of biometric researchers focus on the accuracy of matching using biometrics databases, including iris databases, while the scalability and speed issues have been neglected. In the applications such as identification in airports and borders, it is critical for the identification system to have low-time response. In this paper, a graph-based framework for pattern recognition, called Optimum-Path Forest (OPF), is utilized as a classifier in a pre-developed iris recognition system. The aim of this paper is to verify the effectiveness of OPF in the field of iris recognition, and its performance for various scale iris databases. This paper investigates several classifiers, which are widely used in iris recognition papers, and the response time along with accuracy. The existing Gauss-Laguerre Wavelet based iris coding scheme, which shows perfect discrimination with rotary Hamming distance classifier, is used for iris coding. The performance of classifiers is compared using small, medium, and large scale databases. Such comparison shows that OPF has faster response for large scale database, thus performing better than more accurate but slower Bayesian classifier.

Towards an intelligent graphical interface for linear programming modelling

The increase of computing power of the microcomputers has stimulated the building of direct manipulation interfaces that allow graphical representation of Linear Programming (LP) models. This work discusses the components of such a graphical interface as the basis for a system to assist users in the process of formulating LP problems. In essence, this work proposes a methodology which considers the modelling task as divided into three stages which are specification of the Data Model, the Conceptual Model and the LP Model. The necessity for using Artificial Intelligence techniques in the problem conceptualisation and to help the model formulation task is illustrated.

Teaching in the community: Changing and implementing a new curriculum

The Faculdade de Medicina de Botucatu is changing to, and implementing a new curriculum aimed at integrating teaching and learning in the community. Emphasis is on preparing the community settings for teaching, learning and providing health care. A particular task is staff development with emphasis on problem-based learning (PBL) and training medical and nursing students in the leadership to participate in this process. The new curriculum includes the gradual introduction of clinical practice during First Year, integration of the basic sciences with clinical sciences, through integrated modules studied in small groups, and maintenance of the two year clerkship. The undergraduates are introduced gradually to the community: 8% of the total curriculum during First Year, 10% during Second Year, 10% during Third Year, 20% during Fourth Year, 30% during Fifth and Sixth Years. The basic health units at primary care level, and the regional specialty outpatients and hospitals at the second level, are the main teaching sites. An Education Development Committee was established to discuss the strategies for supporting the changes and to structure the planning for promoting the gradual transformation of staff development. After 18 months of implementation of the curriculum, there followed discussions and monitoring of the objectives of changes in medical education at our school. Successful implementation of the new curriculum would fail, if the objectives were not absorbed by every member of the implementation Committee.

Trabalhando com estratégias de ensino-aprendizado por descoberta na área da saúde: a problematização e a aprendizagem baseada em problemas.

Considering the changes in teaching in the health field and the demand for new ways of dealing with knowledge in higher learning, the article discusses two innovative methodological approaches: problem-based learning (PBL) and problematization. Describing the two methods' theoretical roots, the article attempts to identify their main foundations. As distinct proposals, both contribute to a review of the teaching and learning process: problematization, focused on knowledge construction in the context of the formation of a critical awareness; PBL, focused on cognitive aspects in the construction of concepts and appropriation of basic mechanisms in science. Both problematization and PBL lead to breaks with the traditional way of teaching and learning, stimulating participatory management by actors in the experience and reorganization of the relationship between theory and practice. The critique of each proposal's possibilities and limits using the analysis of their theoretical and methodological foundations leads us to conclude that pedagogical experiences based on PBL and/or problematization can represent an innovative trend in the context of health education, fostering breaks and more sweeping changes.

Automatic visual dictionary generation through Optimum-Path Forest clustering

Image categorization by means of bag of visual words has received increasing attention by the image processing and vision communities in the last years. In these approaches, each image is represented by invariant points of interest which are mapped to a Hilbert Space representing a visual dictionary which aims at comprising the most discriminative features in a set of images. Notwithstanding, the main problem of such approaches is to find a compact and representative dictionary. Finding such representative dictionary automatically with no user intervention is an even more difficult task. In this paper, we propose a method to automatically find such dictionary by employing a recent developed graph-based clustering algorithm called Optimum-Path Forest, which does not make any assumption about the visual dictionary's size and is more efficient and effective than the state-of-the-art techniques used for dictionary generation. © 2012 IEEE.

Grupo interdisciplinar: Construção de unidade educacional sistematizada em aprendizagem baseada em problemas

In 2003 the construction team of the 1st grade of the medical and nursing courses from a medical school began a work aiming at curriculum reconstruction, and restructured cognitive contents and the integration of basic and clinical aspects, in order to adapt to the incentive program for Curriculum Changes (PROMED) which allows for the continuity of curricular innovations. This team worked considering the group dynamics, a method already used in tutorial sessions which teachers have some familiarity with. For a good group performance the team participants were divided into two subgroups: one for constructing educational problems and the other for doing cognitive assessment exercises. The team and the subgroups met weekly, and every 15 days the group met for socialization of information, identifying the strengths and weaknesses of the process and/or products. A good adhesion, an active involvement of participants and satisfaction expressed by each participant with their inclusion in the group were reflected in the final product and contributed to the subjects' commitment to the proposal. This way, in the process the individual transformations and relations in a situation requiring the collaboration of professionals were essential in the process of permanent curricular reconstruction.

Aprendizado baseado em problemas, um novo conceito para a formação do designer e a sustentabilidade

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Possibilidades e limites da aprendizagem baseada em problemas no ensino médio

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A investigação sobre a própria prática de um professor iniciante sob o olhar da teoria da recontextualização

Pós-graduação em Educação para a Ciência - FC

A formação de educadores em serviço no contexto escolar: mídias digitais e projetos de trabalho

Pós-graduação em Educação - FCT

Avaliação dos princípios ergonômicos na prática odontológica

Pós-graduação em Odontologia Preventiva e Social - FOA

Estresse e a formação médica: implicações na saúde mental dos estudantes

Pós-graduação em Psicologia - FCLAS

Composição de dicionários visuais utilizando agrupamento de dados por Florestas de Caminhos Ótimos

Pós-graduação em Ciência da Computação - IBILCE