In this work, it developed an Augmented Reality with Gamification application to assist the learning process of students with intellectual disabilities in general. This application enables the teacher explore various skills ...

This work aims to develop a novel method to design educational games, following Extreme Programming and Scrum Agile Methods and screenplays under the dilemmas and mechanical game re-guise concepts, which are already widely ...

ERPs are complex systems that handle large amounts of data and links among this data providing to its users different information. Usually, developers of this type of application dedicate their efforts to guarantee ...

Electricity in Brazil is mostly generated by hydroelectric plants that depend on the volume of water in their reservoirs. Due to the fact that rainfall is decreasing, other methods with higher costs to generate energy are ...

Nowadays smartphones are composed of a wide range of sensors and resources such as GPS (Global Positioning System), Bluetooth and Internet connection through Wi-Fi, 3G, among others resources. Along with the smartphone’s ...

The Smart City (SC) concept aims to promote dynamic and flexible systems to the cities, that interact with each others and help to maintain the stability and scalability of it’s resources and services, usually through ...

Due to the widespread adoption of distributed systems when building applications, demand for reliability and availability has increased. These properties can be achieved through replication techniques using algorithms that ...

The methodologies currently used by startups for market discovery and software development focus on a more agile and fast development, aiming to obtain learning about the potential market. Often, these methodologies set ...

Currently open government data run an important job on regards to public transparency, besides being obligated by law. But most of this data are stored in non-standard ways, isolated and independent, making it very hard ...

This work describes a new classification technique called P2C - Partitioning to Classify. The main goal is to achieve reasonable classification performances using linear prediction methods, even on datasets with non-linear ...