Network-based stochastic semisupervised learning

Semisupervised learning is a machine learning approach that is able to employ both labeled and unlabeled samples in the training process. In this paper, we propose a semisupervised data classification model based on a combined random-preferential walk of particles in a network (graph) constructed from the input dataset. The particles of the same class cooperate among themselves, while the particles of different classes compete with each other to propagate class labels to the whole network. A rigorous model definition is provided via a nonlinear stochastic dynamical system and a mathematical analysis of its behavior is carried out. A numerical validation presented in this paper confirms the theoretical predictions. An interesting feature brought by the competitive-cooperative mechanism is that the proposed model can achieve good classification rates while exhibiting low computational complexity order in comparison to other network-based semisupervised algorithms. Computer simulations conducted on synthetic and real-world datasets reveal the effectiveness of the model.

Discrimination of media moments and media intervals: sticker-based watch-and-comment annotation

In this paper we discuss the problem of how to discriminate moments of interest on videos or live broadcast shows. The primary contribution is a system which allows users to personalize their programs with previously created media stickers-pieces of content that may be temporarily attached to the original video. We present the system's architecture and implementation, which offer users operators to transparently annotate videos while watching them. We offered a soccer fan the opportunity to add stickers to the video while watching a live match: the user reported both enjoying and being comfortable using the stickers during the match-relevant results even though the experience was not fully representative.

MODEL PARTITIONS AND COMPACT TEST CASE SUITES

We present a generalized test case generation method, called the G method. Although inspired by the W method, the G method, in contrast, allows for test case suite generation even in the absence of characterization sets for the specification models. Instead, the G method relies on knowledge about the index of certain equivalences induced at the implementation models. We show that the W method can be derived from the G method as a particular case. Moreover, we discuss some naturally occurring infinite classes of FSM models over which the G method generates test suites that are exponentially more compact than those produced by the W method.

An online data access prediction and optimization approach for distributed systems

Current scientific applications have been producing large amounts of data. The processing, handling and analysis of such data require large-scale computing infrastructures such as clusters and grids. In this area, studies aim at improving the performance of data-intensive applications by optimizing data accesses. In order to achieve this goal, distributed storage systems have been considering techniques of data replication, migration, distribution, and access parallelism. However, the main drawback of those studies is that they do not take into account application behavior to perform data access optimization. This limitation motivated this paper which applies strategies to support the online prediction of application behavior in order to optimize data access operations on distributed systems, without requiring any information on past executions. In order to accomplish such a goal, this approach organizes application behaviors as time series and, then, analyzes and classifies those series according to their properties. By knowing properties, the approach selects modeling techniques to represent series and perform predictions, which are, later on, used to optimize data access operations. This new approach was implemented and evaluated using the OptorSim simulator, sponsored by the LHC-CERN project and widely employed by the scientific community. Experiments confirm this new approach reduces application execution time in about 50 percent, specially when handling large amounts of data.

LALP: a language to program custom FPGA-based acceleration engines

Field-Programmable Gate Arrays (FPGAs) are becoming increasingly important in embedded and high-performance computing systems. They allow performance levels close to the ones obtained with Application-Specific Integrated Circuits, while still keeping design and implementation flexibility. However, to efficiently program FPGAs, one needs the expertise of hardware developers in order to master hardware description languages (HDLs) such as VHDL or Verilog. Attempts to furnish a high-level compilation flow (e.g., from C programs) still have to address open issues before broader efficient results can be obtained. Bearing in mind an FPGA available resources, it has been developed LALP (Language for Aggressive Loop Pipelining), a novel language to program FPGA-based accelerators, and its compilation framework, including mapping capabilities. The main ideas behind LALP are to provide a higher abstraction level than HDLs, to exploit the intrinsic parallelism of hardware resources, and to allow the programmer to control execution stages whenever the compiler techniques are unable to generate efficient implementations. Those features are particularly useful to implement loop pipelining, a well regarded technique used to accelerate computations in several application domains. This paper describes LALP, and shows how it can be used to achieve high-performance computing solutions.

Mudanças subjetivas de um estudante numa oficina de ciências e sua articulação com a dinâmica grupal e o papel das intervenções da professora

O objetivo desse trabalho consiste em investigar as mudanças subjetivas de um estudante durante a realização de uma Oficina de Ciências e articulá-las, por um lado, com os discursos da professora e, por outro, com a dinâmica de funcionamento grupal. Os dados foram coletados numa escola pública do município de Londrina/PR. No total foram realizados quinze encontros, e o instrumento de coleta de dados consistiu na gravação em vídeo. O grupo selecionado para a pesquisa constituiu-se de quatro alunos do II Ciclo (3ª e 4ª séries) do Ensino Fundamental. O referencial teórico utilizado para análise e interpretação dos dados encontra sua base em conceitos psicanalíticos de orientação lacaniana e da dinâmica de grupos. Concluímos considerando alguns aspectos que podem contribuir para a promoção e sustentação da aprendizagem em grupo em situações de ensino, sinalizando para o papel das intervenções do professor no sentido de promover um trabalho colaborativo.

A influência do discurso do professor na motivação e na interação social em sala de aula

Estudos têm mostrado a importância das interações sociais desencadeadas em sala de aula como fundamentais para a aprendizagem dos alunos. Contudo, o professor deve ser capaz de motivar os estudantes para se envolverem mais ativamente com as atividades de ensino propostas. Este artigo apresenta os resultados de uma investigação sobre as interações sociais desenvolvidas no contexto de uma sala de aula do Ensino Médio, que explicou os princípios da conservação da energia mecânica com uma aula experimental de demonstração. O principal objetivo era entender como o discurso do professor pode contribuir para o bom nível de motivação do aluno durante uma aula. As entrevistas com professor e alunos e todo o processo de interação durante as atividades foram gravados, transcritos e analisados . Os resultados ressaltam a importância da abordagem discursiva dos professores para manter o processo de motivação entre os alunos.

Métodos de fracionamento da cortada do voleibol sob a perspectiva de professores de educação física

Pelo fato de o fracionamento da prática da cortada ser um tema polêmico que tem gerado inconsistências teóricas e práticas, o objetivo do presente estudo foi investigar quais métodos de fracionamento da cortada são utilizados por professores de Educação Física em diferentes fases profissionais no processo ensinoaprendizagem da cortada. Além disso, pretendeuse descrever as justificativas dos professores para a escolha dos métodos. A amostra foi composta por 36 professores de Educação Física com níveis distintos de experiência na área, os quais responderam a um questionário sobre o uso de métodos de ensino relativos ao fracionamento da cortada do voleibol. As maiores frequências de respostas favoráveis ao fracionamento foram fornecidas por professores em estágios iniciais da carreira, os quais alegaram que a complexidade da cortada é o motivo principal para o uso de tal procedimento

The place of (explicit) grammar within the methods and approaches of foreign language teaching: in the north, in the centre or on the margins?

This article analyzes the role that has been attributed to grammar throughout the history of foreign language teaching, with special emphasis on methods and approaches of the twentieth century. In order to support our argument, we discuss the notion of grammar by proposing a conceptual continuum that includes the main meanings of the term which are relevant to our research. We address as well the issue of "pedagogical grammar" and consider the position of grammar in the different approaches of the "era of the methods" and the current "post-method condition" in the field of language teaching and learning. The findings presented at the end of the text consist of recognizing the central role that grammar has played throughout the history of the methods and approaches, where grammar has always been present by the definition of the contents' progression. The rationale that we propose for this is the recognition of the fact that the dissociation between what is said and how it is said can not be more than theoretical and, thus, artificial.