Static Video Summarization through Optimum-Path Forest Clustering

This paper introduces the Optimum-Path Forest (OPF) classifier for static video summarization, being its results comparable to the ones obtained by some state-of-the-art video summarization techniques. The experimental section has been conducted using several image descriptors in two public datasets, followed by an analysis of OPF robustness regarding one ad-hoc parameter. Future works are guided to improve OPF effectiveness on each distinct video category.

Photoluminescence activity of Ba1-xCaxTiO3: dependence on particle size and morphology

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

Optimum-Path Forest Applied for Breast Masses Classification

In Computer-Aided Diagnosis-based schemes in mammography analysis each module is interconnected, which directly affects the system operation as a whole. The identification of mammograms with and without masses is highly needed to reduce the false positive rates regarding the automatic selection of regions of interest for further image segmentation. This study aims to evaluate the performance of three techniques in classifying regions of interest as containing masses or without masses (without clinical findings), as well as the main contribution of this work is to introduce the Optimum-Path Forest (OPF) classifier in this context, which has never been done so far. Thus, we have compared OPF against with two sorts of neural networks in a private dataset composed by 120 images: Radial Basis Function and Multilayer Perceptron (MLP). Texture features have been used for such purpose, and the experiments have demonstrated that MLP networks have been slightly better than OPF, but the former is much faster, which can be a suitable tool for real-time recognition systems.

Toward Satellite-Based Land Cover Classification Through Optimum-Path Forest

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

Automatic visual dictionary generation through optimum-path forest clusteringautomatic 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.

Cuidado ao paciente idoso hospitalizado: implicações para a equipe de enfermagem

The Brazilian population is ageing rapidly, and chronic diseases have increased. Due to deficient health care services, the diagnosis and treatment of such diseases occur in the tertiary level, which increases costs and reduces the possibilities of early diagnoses. In view of the elderly population‟s increase and of the great demand at hospitalization units, it is important to learn about the difficulties and facilities faced by nursing teams when giving care to hospitalized individuals. In order to reach the objectives, a cross-sectional, prospective, descriptive, analytical and qualitative study was performed with basis on Bardin‟s Content Analysis. Among the difficulties were patients‟ limitations, dependence level, behaviors and habits, interference from companions, feeling of abandonment, perception of needs, dealing with suffering and lack of time for adequate care. As to facilities, acceptance of the disease, adherence to treatment, collaboration, trust in the team, and older patients‟ politeness were reported, which shows that passiveness is an important indicator in caring for the elderly. Older individuals suffer the outcomes of certain physical, psychological and mental deficits. When facing disease conditions, they require special care, including hospitalization and greater attention. The nursing team provides daily care and follows patients‟ development; however, its members are still not knowledgeable enough about the ageing process. This contributes to increase prejudice and erroneous stereotypes about older persons. Therefore, not understanding such process compromises the full care to be provided to older patients. This leads team members to accelerate the care provision process in order to meet the daily work demand, thus compromising older patients‟ autonomy and making them more dependent on the team, whereas the process should follow the opposite path

On the spatial and temporal dependence of CO2 emission on soil properties in sugarcane (Saccharum spp.) production

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Estimation of croplands using indicator kriging and fuzzy classification

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

A nature-inspired approach to speed up optimum-path forest clustering and its application to intrusion detection in computer networks

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

Estimation of lower flammability limits of C-H compounds in air at atmospheric pressure, evaluation of temperature dependence and diluent effect

Estimation of the lower flammability limits of C-H compounds at 25 degrees C and 1 atm; at moderate temperatures and in presence of diluent was the objective of this study. A set of 120 degrees C H compounds was divided into a correlation set and a prediction set of 60 compounds each. The absolute average relative error for the total set was 7.89%; for the correlation set, it was 6.09%; and for the prediction set it was 9.68%. However, it was shown that by considering different sources of experimental data the values were reduced to 6.5% for the prediction set and to 6.29% for the total set. The method showed consistency with Le Chatelier's law for binary mixtures of C H compounds. When tested for a temperature range from 5 degrees C to 100 degrees C , the absolute average relative errors were 2.41% for methane; 4.78% for propane; 0.29% for iso-butane and 3.86% for propylene. When nitrogen was added, the absolute average relative errors were 2.48% for methane; 5.13% for propane; 0.11% for iso-butane and 0.15% for propylene. When carbon dioxide was added, the absolute relative errors were 1.80% for methane; 5.38% for propane; 0.86% for iso-butane and 1.06% for propylene. (C) 2014 Elsevier B.V. All rights reserved.

A simple geometrical path towards hybrid orbitals

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Nicotine dependence and levels of depression and anxiety in smokers in the process of smoking cessation

Background: Depression and anxiety are psychiatric disorders that are related to tobacco use and associated with dependence, the process of cessation, lapses and relapses after quitting smoking. Objective: To analyze the association of nicotine dependence with the level of anxiety and depression in patients who are in the process of smoking cessation. Methods: Cross-sectional study conducted with patients who sought the smoking cessation program in Cuiabá/MT. All the smokers enrolled from May to August 2012, participated in this study. Four instruments were applied: Socio-demographic Questionnaire, Fagerstrom test, Beck Anxiety Inventory and Beck Depression Inventory. Following bivariate analysis, using the crude prevalence ratio, with level of significance lower than 5% (p < 0.05), having as variable outcome the nicotine dependence >= 5 (Fagerstrom). The associations with p < 0.20 were selected for robust Multiple Poisson Regression (RPa). Results: Associations of Fagerstrom >= 5 with the male sex (RP = 1.15 CI 95% 1.03-1.28); number of cigarettes/day (RP = 1,33; CI 95% 1.19-1.48); and moderate/severe level of depression (RP = 1.15; CI 95% 1.04-1.28) were found. In the final model (RPa), the following variables remained associated: male gender (RPa 1.12; CI 95% 1.01-1.24), number of cigarettes/day (RPa 1.28; CI 95% 1.15-1.43) and high level of depression (RPa 1.12; CI 95% 1.01-1.23). Discussion: High level of nicotine dependence was associated significantly with the level of depression, emphasizing the association between smoking and psychiatric comorbidities.

Correlation and path analysis as an indirect selection criterion for sunflower achene productivity

The study was conducted in two different locations in South Brazil, in tillage in the 2009/2010 season on eight sunflower hybrids, aiming to determine the path correlations and coefficients between primary and secondary characters on the main variable of achene productivity. The correlations were similar between environments. The characters of the head diameter and mass of a thousand achenes had a significant influence on sunflower productivity. Based on the magnitude of the direct and indirect effects, we highlighted all primary components on the main variable, beside the good determination coefficient and low residual effect. The secondary component, the number of achenes, despite the significant direct effect on productivity, was indirectly influenced by the primary components, making it an undesirable character for selection.

Dielectric properties of Sr0.75Ba0.25Nb 2O6 thin films: Bias field, frequency and temperature dependence

Ferroelectric strontium barium niobate solid solutions had received great attention due to their excellent pyroelectric, electrooptic and photorefractive properties. Furthermore, they usually also present very interesting phase transition characteristics. In this work, polycrystalline single phase Sr 0.75 Ba 0.25 Nb 2 O 6 thin films were prepared by a hybrid chemical method and deposited on Pt/Ti/SiO 2 /Si substrates. The temperature dependence of dielectric constant was measured at different frequencies and bias field levels. The presence of two dielectric dispersion regions with relaxor characteristics was observed at distinct temperature ranges, corresponding to the ferro-paraelectric and to a structural phase transition at low temperatures, respectively. A specific dielectric dispersion region, associated with an incommensurate superstructure frequently observed in bulk samples, was not observed in this films probably due to their small grain sizes. © 2002 Taylor & Francis.

Cellulose acetate membranes for osmosedimentation: Performance and morphological dependence on preparation conditions

Osmosedimentation is a new membrane-assisted separation technique, based on the rapid approach to sedimentation equilibrium when macromolecular solutions are contained within dialysis cells, in contact with solvent via a permselective membrane. Cellulose acetate membranes, cast from ternary solvent (acetone, acetic acid, water) solutions are suitable for osmosedimentation of proteins at low (2000 rpm) centrifugation speeds. Solute retention is improved when acetone-rich casting solutions are used. These membranes were examined by electron and optical microscopy, showing considerable morphological changes in the membrane support layer as the casting solution composition is changed. © 1986.