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Mobile phones have grown both in popularity as power of processing during the last years. Current trends in mobile devices are evolving into high speed networks and multiple sensors, thus, facilitating the analysis of user environments and processing. Such analysis is essential to comprehend user behavior and to provide refined adaptation. This paper differs from previous studies by studying thoroughly...
Smartphones are powerful mobile devices in terms of processing speed and data traffic. These devices assist users in everyday tasks and are highly personalized. To provide good use experience and low energy consumption, it is important that it behaves according to the users' current context. It is known that when a device is active, the screen is responsible for 16% of total power consumption. In...
Mobile devices and smartphones have the potential to be powerful and complex systems. Their ever-increasing popularity has created a need for more robust and personal applications. This paper proposes a personalization system to modify phone's state according to its owner routine and behavior, called Smart Profile. This system was implemented and tested with two modules, a calendar and a location...
Aim - The goal of this study is to investigate the relationships between the communication structure of a software team and the resulting architecture of the software developed under the perspective of Conway's Law. Method - A quasi-experiment was designed in an industrial context in which the results of two teams were compared. One team worked using an agile approach based on Scrum with daily meetings...
Skew correction of scanned documents is a crucial step for document recognition systems. Due to the problem of high computational costs of the state-of-the-art methods, we present herein a variation of a parallelograms covering algorithm. This variation strongly reduces the computational time and works over noisy documents and documents containing non-textual elements, like: stamps, handwritten components...
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