Bruno Neiva Moreno

Instituto Federal de Educação, Ciência e Tecnologia da Paraíba · Campus Soledade

The growing use of online social networks (OSNs) has encouraged users to share detailed information about places they have visited, resulting on a clear connection between the virtual world and the physical world. The functionality responsible for sharing location by users dubbed “check-in”. This paper describes social and spatiotemporal interactio...

The growing use of online social networks (OSNs) has encouraged users to share detailed information about places they have visited, resulting on a clear connection between the virtual world and the physical world. The functionality responsible for sharing location by users dubbed “check-in”. This paper describes social and spatiotemporal interactio...

Teaching introductory programming is a challenge regardless the audience of students. For high school students, this challenge could be even greater. Active learning methodologies have been shown as an acceptable approach to teach this topic. It has been observed that these methodologies are very similar to the agile methodologies of software devel...

With the increasing popularity of Location-based Social Networks (LBSNs), users have shared information about places they have visited, creating a link between the real world (their movements on the globe) and the virtual world (what they express about these movements on the LBSNs). In this article, we propose the SiST model, which contains informa...

An important problem in the knowledge discovery of trajectories is segmentation in subparts (subtrajectories). Existing algorithms for trajectory segmentation generally use explicit criteria to create segments. In this article, we propose segmenting trajectories using a novel, unsupervised approach, in which no explicit criteria are predetermined....

A major challenge in trajectory data analysis is the definition of approaches to enrich it semantically. In this paper, we consider machine learning and context information to enrich trajectory data in three steps: (1) the definition of a context model for trajectory domain; (2) the generation of rules based on that context model; (3) the implement...

Trajectory data are normally generated as sample points, which are very difficult to understand and to analyze because they are often collected with no semantic information. Several studies have been developed for trajectory data analysis. Recently, a new model was designed to reason over trajectories as stops and moves, where stops are the importa...

As the information technology goes forward, the water resources and environmental engineering advances as well. In Brazil, the use of Object Oriented Programming (OOP) in these areas is relatively new. The paper shows how a hydrologic distributed rainfall-runoff modeling system was developed using this approach. The main packages and classes are pr...

The data model of the BEER project is complex due to the amount of spatial- temporal data produced, being necessary, in this way, the implementation of a system that could persist those data and to make available them for sharing. This paper presents the development of the SISTBEER, approaching issues from its architecture, project patterns used, a...