São Paulo Federal Institute of Education, Science and Technology

About: São Paulo Federal Institute of Education, Science and Technology is a education organization based out in São Paulo, Brazil. It is known for research contribution in the topics: Context (language use) & Computer science. The organization has 1707 authors who have published 2374 publications receiving 11333 citations.

Managing Literature Reviews Information through Visualization

Abstract: Systematic Literature Review (SR) and Systematic Mappings (SM) are scientific literature review techniques that follow well-defined stages, according to a protocol previously elaborated. The goal is helping in finding evidence about a particular research topic and mapping a research area, respectively. Their steps are laborious and a computational support is essential to improve the quality of their conduction. Aiming to offer computational support to these types of reviews, the StArt (State of the Art through Systematic Review) tool was developed. Besides the expected functionalities, StArt generates studies score, uses information visualization and text mining techniques to facilitate the research area mapping and to identify the studies relevance. StArt has been developed through an incremental process by academics who adopt SR and SM. As the expectation is to have a tool that really aids the conduction of these types of reviews, new ideas are always investigated and make StArt different from other alternatives. Visualization and text mining techniques seems to be a powerful resource for facilitating data abstraction in the context of SRs and SMs, allowing the improvement of the review and the conclusions about it.

A building blocks strategy for preparing photocatalytically active anatase TiO2/rutile SnO2 heterostructures by hydrothermal annealing

Abstract: Effective heterostructures for photocatalysis need to present good electron-hole mobility among phases, a feature that is only attained with satisfactory interface quality. For very small sizes and with a stable colloidal state, the oriented attachment mechanism can be used to prepare suitable structures by means of a building blocks strategy, whereby preformed nanoparticles are used to control the desired amount of each phase in the heterostructure. Here, we show the success of this strategy for anatase TiO2/rutile SnO2 heterostructures, applying conventional hydrothermal annealing, where successive collisions among particles increase the probability of oriented attachment. The photodegradation of Rhodamine B in water under UV radiation was used as a probe reaction to evaluate formation of the heterostructure, as indicated by an increase in photoactivity. Increased heterostructure photoactivity was related to heterojunction formation and charge separation. The increased lifetimes of the photogenerated charges, due to heterojunction formation, enabled them to reach the oxides surface and promote photocatalytic reactions. The insights presented here may be used in a rationalized synthesis method to obtain heterostructures from preformed nanocrystals.

AVARAC: An Availability-Based Resource Allocation Scheme for Vehicular Cloud

Abstract: Intelligent transportation systems (ITSs) are comprised of multiple technologies that are applied to improve the quality of transport, offering services and applications that will monitor, manage the transportation systems, and increase the level of comfort and safety for passengers and drivers. ITSs services are available for vehicular users through the infrastructure, based on the vehicular network. Furthermore, they can use a vehicular cloud to take advantage of all the resources that a cloud can provide. To achieve this, the ITSs require a mechanism that will aggregate and manage all the available resources provided by the vehicles. Moreover, the aggregation and allocation resource schemes must address the characteristics of the vehicular network to attempt all the quality of service requirements. Therefore, one of the greatest challenges lies in managing the allocation and aggregation of vehicle resources when there is no external infrastructure that will support the system. Hence, we propose an aggregate and allocate resource approach to maximize the availability of service. For this, we formulate the problem through the semi-Markov decision process (SMDP) that will provide an optimal solution for the aggregation and allocation problem. Moreover, we use an average reward function and iterative algorithm to solve the SMDP. The results show that the proposed approach showed stable behavior regardless of the frequency of receiving requests for service. Furthermore, the proposed solution has high average reward when compared to other work in the paper.