Sebastián H. Dapoto

A simplified multiplatform communication framework for mobile applications

The need for sharing information among mobile devices exists in many applications, and almost every data exchange between these devices involve the same requirements: a means for discovering other mobile devices in a wireless network, establishing logical connections, communicating application data, and gathering information related to the physical connection. This paper presents a multiplatform open-source developer-oriented framework that acts as a support layer for host discovery, data communication among devices, and quality of service monitoring. Its purpose is to simplify the issues related to networking for mobile application developers. Currently, the framework is implemented for different platforms, such as Android, J2SE, and J2ME.

Mobile path and spin 3d tracking and reconstruction

The branch of Computer Science known as digital image processing includes different topics of Investigation and Development, as well as applications encompassing different stages that go from data acquisition, enhancement, and segmentation, up to the analysis, classification and interpretation of images [1]. Particularly, the reconstruction of 3D movements from 2D images (photos, filming) is a complex area, which becomes significant when it is a matter of obtaining real time responses. [1, 2, 3]. This project aim is developing a three-dimensional analysis system considering the processing of a soccer ball trajectory and rotational speed for its later computer-generated graphical modeling. The objective of the system is to improve the players skills and the training methodology, and is framed within the research line of this Institute and within the area of signal and image processing

Performance Evaluation of a 3D Engine for Mobile Devices

Currently there are several frameworks for the development of 3D mobile applications, but all of them have a common issue: performance is a critical aspect to consider, even more relevant than in desktop computers, which generally have a greater computing power. The profiling or performance analysis tools that these frameworks have can help, to some extent, to determine the possible existence of bottlenecks in the execution of applications. However, this type of tool has certain limitations such as covering only a spectrum of the possible causes of the problem or limiting the analysis to certain scenarios in particular. This article proposes an evaluation and impact measurement of the key features related with performance on 3D mobile applications.