The new information technologies and women: essential reflections

Includes bibliography

Improving accuracy and speed of optimum-path forest classifier using combination of disjoint training subsets

The Optimum-Path Forest (OPF) classifier is a recent and promising method for pattern recognition, with a fast training algorithm and good accuracy results. Therefore, the investigation of a combining method for this kind of classifier can be important for many applications. In this paper we report a fast method to combine OPF-based classifiers trained with disjoint training subsets. Given a fixed number of subsets, the algorithm chooses random samples, without replacement, from the original training set. Each subset accuracy is improved by a learning procedure. The final decision is given by majority vote. Experiments with simulated and real data sets showed that the proposed combining method is more efficient and effective than naive approach provided some conditions. It was also showed that OPF training step runs faster for a series of small subsets than for the whole training set. The combining scheme was also designed to support parallel or distributed processing, speeding up the procedure even more. © 2011 Springer-Verlag.

Wavelets and decision trees for target detection over sea surface using cosmo-skymed SAR data

We are investigating the combination of wavelets and decision trees to detect ships and other maritime surveillance targets from medium resolution SAR images. Wavelets have inherent advantages to extract image descriptors while decision trees are able to handle different data sources. In addition, our work aims to consider oceanic features such as ship wakes and ocean spills. In this incipient work, Haar and Cohen-Daubechies-Feauveau 9/7 wavelets obtain detailed descriptors from targets and ocean features and are inserted with other statistical parameters and wavelets into an oblique decision tree. © 2011 Springer-Verlag.

FTMOntology: An ontology to fill the semantic gap between music, mood, personality, and human physiology

This paper presents a domain ontology, the FeelingTheMusic Ontology - FTMOntology. FTMOntology is designed to represent the complex domain of music and how it relates to other domains like mood, personality and physiology. This includes representing the main concepts and relations of music domain with each of the above-mentioned domains. The concepts and relations between music, mood, personality and physiology. The main contribution of this work is to model and relate these different domains in a consistent ontology. © 2011 Springer-Verlag.

A Markov random field model for combining optimum-path forest classifiers using decision graphs and game strategy approach

The research on multiple classifiers systems includes the creation of an ensemble of classifiers and the proper combination of the decisions. In order to combine the decisions given by classifiers, methods related to fixed rules and decision templates are often used. Therefore, the influence and relationship between classifier decisions are often not considered in the combination schemes. In this paper we propose a framework to combine classifiers using a decision graph under a random field model and a game strategy approach to obtain the final decision. The results of combining Optimum-Path Forest (OPF) classifiers using the proposed model are reported, obtaining good performance in experiments using simulated and real data sets. The results encourage the combination of OPF ensembles and the framework to design multiple classifier systems. © 2011 Springer-Verlag.

Vectorized algorithms for quadtree construction and descent

This paper presents vectorized methods of construction and descent of quadtrees that can be easily adapted to message passing parallel computing. A time complexity analysis for the present approach is also discussed. The proposed method of tree construction requires a hash table to index nodes of a linear quadtree in the breadth-first order. The hash is performed in two steps: an internal hash to index child nodes and an external hash to index nodes in the same level (depth). The quadtree descent is performed by considering each level as a vector segment of a linear quadtree, so that nodes of the same level can be processed concurrently. © 2012 Springer-Verlag.

Application of MLP and Kohonen networks for recognition of wear patterns of single-point dressers

Grinding is a parts finishing process for advanced products and surfaces. However, continuous friction between the workpiece and the grinding wheel causes the latter to lose its sharpness, thus impairing the grinding results. This is when the dressing process is required, which consists of sharpening the worn grains of the grinding wheel. The dressing conditions strongly affect the performance of the grinding operation; hence, monitoring them throughout the process can increase its efficiency. The objective of this study was to estimate the wear of a single-point dresser using intelligent systems whose inputs were obtained by the digital processing of acoustic emission signals. Two intelligent systems, the multilayer perceptron and the Kohonen neural network, were compared in terms of their classifying ability. The harmonic content of the acoustic emission signal was found to be influenced by the condition of dresser, and when used to feed the neural networks it is possible to classify the condition of the tool under study.

Evaluating interaction with websites: Case study of a government website of the Brazilian Ministry of labor and employment

This paper presents a usability evaluation of the MTE (Ministry of Labor e Employment) website in order to measure the effectiveness, efficiency and user satisfaction regarding the website. The participants were 12 users (07 users were female and 05 male). The results indicate that although the education level of all participants and computing experience, many of them have had difficulty in finding information and do not recommend the site. © 2013 Springer-Verlag Berlin Heidelberg.

Digital proficiency and digital inclusion: Comparison between students of computer science, public relations and engineering

New information and communication technologies may be useful for providing more in-depth knowledge to students in many ways, whether through online multimedia educational material, or through online debates with colleagues, teachers and other area professionals in a synchronous or asynchronous manner. This paper focuses on participation in online discussion in e-learning courses for promoting learning. Although an important theoretical aspect, an analysis of literature reveals there are few studies evaluating the personal and social aspects of online course users in a quantitative manner. This paper aims to introduce a method for diagnosing inclusion and digital proficiency and other personal aspects of the student through a case study comparing Information System, Public Relations and Engineering students at a public university in Brazil. Statistical analysis and analysis of variances (ANOVA) were used as the methodology for data analysis in order to understand existing relations between the components of the proposed method. The survey methodology was also used, in its online format, as a research instrument. The method is based on using online questionnaires that diagnose digital proficiency and time management, level of extroversion and social skills of the students. According to the sample studied, there is no strong correlation between digital proficiency and individual characteristics tied to the use of time, level of extroversion and social skills of students. The differences in course grades for some components are partly due to subject 'Introduction to Economics' being offered to freshmen in Public Relations, whereas subject 'Economics in Engineering' is offered in the final semesters of Engineering and Information Systems courses. Therefore, the difference could be more tied to the respondent's age than to the course. Information Systems students were observed to be older, with access to computers and Internet at the workplace, compared to the other students who access the Internet more often from home. This paper presents a pilot study aimed at conducting a diagnosis that permits proposing actions for information and communication technology to contribute towards student education. Three levels of digital inclusion are described as a scale to measure whether information technology increases personal performance and professional knowledge and skills. This study may be useful for other readers interested in themes related to education in engineering. © 2013 IEEE.

OPF-MRF: Optimum-path forest and Markov random fields for contextual-based image classification

Some machine learning methods do not exploit contextual information in the process of discovering, describing and recognizing patterns. However, spatial/temporal neighboring samples are likely to have same behavior. Here, we propose an approach which unifies a supervised learning algorithm - namely Optimum-Path Forest - together with a Markov Random Field in order to build a prior model holding a spatial smoothness assumption, which takes into account the contextual information for classification purposes. We show its robustness for brain tissue classification over some images of the well-known dataset IBSR. © 2013 Springer-Verlag.

Adolescents and the right to education

The inalienable right of all people to education is enshrined in various international covenants, conventions and agreements, yet the actual fulfilment of this right varies in quantity and quality from one country to the other. On average, the compulsory length of schooling in the countries of the region is 10 years. Half of these countries have already made all secondary education mandatory, which is eminently reasonable since it is commonly accepted as a minimum threshold for lifelong well-being and skills-building. The main article in this edition of Challenges discusses this subject in depth, and shows how far behind we are in ensuring that all adolescents have access to the education to which they are entitled. It focuses on the low secondary school-completion rate and low level of learning acquisition, the strong socioeconomic and sociocultural stratification, the lack of citizenship skills, and the persistence of a relatively high dropout rate at all levels of secondary education. The main challenge in guaranteeing the right to education lies in reducing learning and attainment gaps by helping the groups that are presently lagging behind the most. As is customary, there are also reports on relevant meetings and conferences held in the region over the past half-year, together with the opinions of experts and adolescents and success stories in promoting school attendance in Uruguay and the Dominican Republic.

Construção de signos matemáticos: uma proposta metodológica para séries iniciais do ensino fundamental

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Intencionalidade, linguagem e análise do comportamento

As abordagens analítico-comportamentais da linguagem ainda não conseguiram fornecer um tratamento conceitual e empírico adequado dos comportamentos verbais complexos. Uma proposta funcionalista recente que vem abordando repertórios complexos na aquisição e no desenvolvimento da linguagem é a teoria da aquisição da linguagem baseada no uso, de Tomasello e cols. Esta teoria vem se desenvolvendo no interior de uma análise mais ampla de Tomasello e cols. sobre a evolução da cognição humana. Nesta proposta, a compreensão e o compartilhamento da intencionalidade são elementos-chave para o desenvolvimento cognitivo e linguístico humano. E é justamente o uso do conceito de intencionalidade o que tem produzido as principais críticas a esta proposta, principalmente, enquanto possibilidade de representar um retorno às propostas mentalistas sobre cognição e linguagem. Com base nisso, o presente trabalho procurou: (1) analisar a proposta de Tomasello e cols. sobre a evolução da cognição humana e a relação entre essa proposta e a aquisição e o desenvolvimento da linguagem – analisando, especificamente, o papel do conceito de intencionalidade nessa proposta e a relação entre intencionalidade e linguagem; (2) analisar o tratamento do conceito de intencionalidade nos trabalhos de John R. Searle e de Daniel C. Dennett, comparando-o com o proposto por Tomasello e cols., segundo os critérios de (a) definição de intencionalidade e (b) relação entre intencionalidade e linguagem; e (3) analisar o tratamento que o conceito de intencionalidade tem recebido na Análise do Comportamento, comparandoo com o proposto por Tomasello e cols, segundo os mesmos critérios (a) e (b). Esperava-se que estas análises permitissem um maior esclarecimento sobre o uso do conceito de intencionalidade na proposta de Tomasello e cols. e uma aproximação dessa proposta com um referencial analítico-comportamental, i.e., sem recorrer a entidades mentais como elementos explicativos da cognição e da linguagem. Tomasello e cols. propõem que a cognição humana é um tipo de cognição primata, derivada de adaptações biológicas característica dos primatas em geral para compreender os outros intencionalmente, em termos de ações, percepções, estados emocionais e objetivos, além de uma motivação exclusivamente humana para compartilhar intencionalidade com os outros. A partir dessas características, os humanos se tornaram capazes de se engajar em atividades de colaboração relacionadas à cognição cultural (envolvendo a criação e o uso de símbolos lingüísticos e matemáticos, artefatos culturais, tecnologias, práticas culturais e instituições sociais), que alteraram profundamente os modos de interação social da espécie humana, permitindo a ela acumular e modificar conhecimentos ao longo da história e transmitir esses conhecimentos para as gerações posteriores. Considerando a análise dos usos do conceito de intencionalidade nas propostas de Tomasello e cols, Searle, Dennett e da Análise do Comportamento, foi possível estabelecer uma relação entre as propostas de Tomasello e cols. e de Dennett, ambas caracterizando a intencionalidade como um conjunto de habilidades cognitivo-comportamentais dos organismos, resultante da história evolutiva das espécies. Contudo, foi possível relacionar o uso do o conceito de intencionalidade nas propostas de Searle e da Análise do Comportamento com o conceito de intencional na proposta de Tomasello e cols., ambos significando uma propriedade referencial (i.e., estar relacionado com) de certos fenômenos em relação a aspectos do mundo. No que concerne à relação entre intencionalidade e linguagem, as propostas de Tomasello e cols., Searle e de Dennett destacam a importância da interação da intencionalidade com a linguagem para a evolução da cognição humana propriamente dita. Contudo, Tomasello e cols. se aproximam mais do modelo de Searle, ao sugerirem que a linguagem simbólica é uma habilidade comportamental humana derivada da intencionalidade. Dennett, por outro lado, se contrapõe a essa hipótese, afirmando que intencionalidade e linguagem simbólica são dois fenômenos comportamentais distintos que co-evoluíram e passaram a interagir em certo momento da história evolutiva da espécie humana. Em geral, o presente trabalho sugere que os principais conceitos utilizados na proposta de Tomasello e cols. sobre a evolução da cognição humana e, especificamente, na teoria da aquisição da linguagem baseada no uso, são compatíveis com alguns conceitos aplicados em outras áreas do conhecimento, como a filosofia da mente e as ciências do comportamento. Em adição, o presente trabalho também possibilitou uma aproximação da proposta de Tomasello e cols. com um referencial analíticocomportamental. Sugere-se que (i) a adoção de um vocabulário analítico-comportamental pode contribuir para abordar os fenômenos contemplados na proposta de Tomasello e cols., evitando a recorrência a pressupostos mentalistas; e, (ii) a proposta de Tomasello e cols. pode oferecer relevantes contribuições para a Análise do Comportamento, no que se refere à investigação de processos simbólicos, principalmente, a aquisição e o desenvolvimento da linguagem simbólica, na medida em que esta proposta tem investigado processos simbólicos mais complexos do que aqueles tradicionalmente investigados na Análise do Comportamento.

Neurobiological Correlates of Apathy in Alzheimer's Disease and Mild Cognitive Impairment: A Critical Review

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

Combined active and semi-supervised learning using particle walking temporal dynamicscombined active and semi-supervised learning using particle walking temporal dynamics

Both Semi-Supervised Leaning and Active Learning are techniques used when unlabeled data is abundant, but the process of labeling them is expensive and/or time consuming. In this paper, those two machine learning techniques are combined into a single nature-inspired method. It features particles walking on a network built from the data set, using a unique random-greedy rule to select neighbors to visit. The particles, which have both competitive and cooperative behavior, are created on the network as the result of label queries. They may be created as the algorithm executes and only nodes affected by the new particles have to be updated. Therefore, it saves execution time compared to traditional active learning frameworks, in which the learning algorithm has to be executed several times. The data items to be queried are select based on information extracted from the nodes and particles temporal dynamics. Two different rules for queries are explored in this paper, one of them is based on querying by uncertainty approaches and the other is based on data and labeled nodes distribution. Each of them may perform better than the other according to some data sets peculiarities. Experimental results on some real-world data sets are provided, and the proposed method outperforms the semi-supervised learning method, from which it is derived, in all of them.