Aquisição de tempo e aspecto em condições normais e no déficit específico de linguagem

Este trabalho busca compreender como as categorias Tempo e Aspecto estão representadas na gramática de crianças em fase de aquisição de linguagem e na gramática de pessoas com Déficit Específico de Linguagem (DEL). A pesquisa procurou constatar a dissociação da categoria Tempo em Tempo e Aspecto e checar a influência do aspecto semântico sobre o aspecto gramatical. Foram comparadas estruturas verbais produzidas por uma criança em fase normal de aquisição de linguagem e por uma pessoa com DEL. Apontamos que há dissociação das categorias Tempo e Aspecto e que o sistema computacional deve ser sensível às características aspectuais do SV

Investigación en las redes sociales de internet, desde la óptica de la perspectiva sistémica

O monitoramento de redes sociais na internet apresenta-se como uma possibilidade de pesquisa disponível aos comunicadores que atuam no contexto organizacional. Contudo, a análise das redes sociais não pode prescindir da reflexão sobre a convivência dos artefatos computacionais com o olhar dos pesquisadores envolvidos no processo. Este artigo analisa o monitoramento em redes sociais da internet à luz da perspectiva sistêmica, o que envolve a subjetividade dos pesquisadores, além da complexidade e da imprevisibilidade das dinâmicas sociais.Internet social networks monitoring is presented as a possibility of research available to communicators who work in the organizational context. However, the analysis of internet social networks cannot be done without considering the coexistence of computational technologies and the researchers’ perspective. This paper analyzes the process of monitoring internet social networks in the light of the systemic perspective, which involves the subjectivity of the researchers, as well as the complexity and unpredictability of the social dynamics.El monitoreo de las redes sociales de internet se presenta como una posibilidad de búsqueda a disposición de los comunicadores que trabajan en el contexto de la organización. Sin embargo, el análisis de redes sociales no puede prescindir de la reflexión sobre la coexistencia de artefactos computacionales con la perspectiva de los investigadores involucrados en el proceso. Este artículo analiza el monitoreo de las redes de internet con enfoque sistémico, que implica la subjetividad de los investigadores, la complejidad y la imprevisibilidad de las dinámicas sociales

As categorias tempo e aspecto e sua relação com marcadores na língua tétum-praça

Esta pesquisa teve como objetivo estudar as categorias tempo e aspecto na língua tétum-praça. Sob enfoque da Teoria Gerativa e inspirados na proposta de Cinque (1999), procedeu-se a uma análise descritiva acerca de tais categorias e sua relação com marcadores em tétum-praça. Foi observado que o verbo na língua em questão ocorre na forma não flexionada e que marcadores atribuem noções de tempo e de aspecto em alguns casos. A pesquisa proporcionou uma maior compreensão das projeções funcionais no tétum-praça e do papel que têm os marcadores de natureza temporal e aspectual

Analysis and visualization of seismic data using mutual information

Seismic data is difficult to analyze and classical mathematical tools reveal strong limitations in exposing hidden relationships between earthquakes. In this paper, we study earthquake phenomena in the perspective of complex systems. Global seismic data, covering the period from 1962 up to 2011 is analyzed. The events, characterized by their magnitude, geographic location and time of occurrence, are divided into groups, either according to the Flinn-Engdahl (F-E) seismic regions of Earth or using a rectangular grid based in latitude and longitude coordinates. Two methods of analysis are considered and compared in this study. In a first method, the distributions of magnitudes are approximated by Gutenberg-Richter (G-R) distributions and the parameters used to reveal the relationships among regions. In the second method, the mutual information is calculated and adopted as a measure of similarity between regions. In both cases, using clustering analysis, visualization maps are generated, providing an intuitive and useful representation of the complex relationships that are present among seismic data. Such relationships might not be perceived on classical geographic maps. Therefore, the generated charts are a valid alternative to other visualization tools, for understanding the global behavior of earthquakes

Privacy-enhancing Aggregation of Internet of Things Data via Sensors Grouping

Big data collection practices using Internet of Things (IoT) pervasive technologies are often privacy-intrusive and result in surveillance, profiling, and discriminatory actions over citizens that in turn undermine the participation of citizens to the development of sustainable smart cities. Nevertheless, real-time data analytics and aggregate information from IoT devices open up tremendous opportunities for managing smart city infrastructures. The privacy-enhancing aggregation of distributed sensor data, such as residential energy consumption or traffic information, is the research focus of this paper. Citizens have the option to choose their privacy level by reducing the quality of the shared data at a cost of a lower accuracy in data analytics services. A baseline scenario is considered in which IoT sensor data are shared directly with an untrustworthy central aggregator. A grouping mechanism is introduced that improves privacy by sharing data aggregated first at a group level compared as opposed to sharing data directly to the central aggregator. Group-level aggregation obfuscates sensor data of individuals, in a similar fashion as differential privacy and homomorphic encryption schemes, thus inference of privacy-sensitive information from single sensors becomes computationally harder compared to the baseline scenario. The proposed system is evaluated using real-world data from two smart city pilot projects. Privacy under grouping increases, while preserving the accuracy of the baseline scenario. Intra-group influences of privacy by one group member on the other ones are measured and fairness on privacy is found to be maximized between group members with similar privacy choices. Several grouping strategies are compared. Grouping by proximity of privacy choices provides the highest privacy gains. The implications of the strategy on the design of incentives mechanisms are discussed