Structures, Systems and Organizational Communication Processes in Franchises in times of crisis: the Spanish case

Current economic crisis together with the Internet revolution has had direct impacts on the franchise sector of Spain: in particular on its unique communication network. The aim of this research is to analyse how Spanish franchise companies have adapted to these changes through its corporate communications management. We want to determine whether the management of communications is ideal to the growth and consolidation of companies in the market. Corporate communications plans and organizational structures were analyzed to verify whether or not information technology (i.e. the use of the Internet) is maximized: the communications aspect being a critical area of company growth. We found that most franchise companies surveyed had adapted well to the changes in information technology, despite economic challenges. The Internet as a communications tool has been limited to its utility as a “bulletin board” for information. The marketing advantage of Internet communication, or its use as an avenue for customer exchange and exchange of goods and services has yet to be maximized. Future research may look into the details of how companies are able to maximize the communications-marketing advantage that Online/Internet can contribute to the franchise sector.

Educación Mediática e InteRmetodología Relacional aplicada a los MOOC

En el contexto actual de innovación tecnológica aparecen nuevas necesidades de aprendizaje y cobran particular relevancia los procesos pedagógicos. Los MOOC se posicionan como una alternativa educacional disruptiva y como puntos de encuentro educomunicativos abiertos a todos, a través de los cuales podemos acceder a esa inteligencia distribuida y accesible en la Red en la que formar redes relacionales externas e internas y tejer una construcción de conocimiento, a partir de nuevas ideas y de la inteligencia colectiva que se produce. Desde una perspectiva teórica, abordamos la acción educomunicativa inherente a los MOOC, partiendo de la necesidad de implementar una inteRmetodología, en la que el Factor Relacional sea determinante, que disponga de estrategias y prácticas para englobar a los discentes en sus diversas dimensiones, con el objetivo de construir conocimiento común en relación y conexión, desde una reflexión encaminada a la acción y participación, para llegar a una praxis holística.

Looking inside for good practice in Deaf bilingual education: a participatory SWOT analysis

Presentation to the Disability Studies Conference, Lancaster University, September 7-9, 2010.

Parallel Computational Intelligence-Based Multi-Camera Surveillance System

In this work, we present a multi-camera surveillance system based on the use of self-organizing neural networks to represent events on video. The system processes several tasks in parallel using GPUs (graphic processor units). It addresses multiple vision tasks at various levels, such as segmentation, representation or characterization, analysis and monitoring of the movement. These features allow the construction of a robust representation of the environment and interpret the behavior of mobile agents in the scene. It is also necessary to integrate the vision module into a global system that operates in a complex environment by receiving images from multiple acquisition devices at video frequency. Offering relevant information to higher level systems, monitoring and making decisions in real time, it must accomplish a set of requirements, such as: time constraints, high availability, robustness, high processing speed and re-configurability. We have built a system able to represent and analyze the motion in video acquired by a multi-camera network and to process multi-source data in parallel on a multi-GPU architecture.

A Model to Visualize Information in a Complex Streets’ Network

his paper discusses a process to graphically view and analyze information obtained from a network of urban streets, using an algorithm that establishes a ranking of importance of the nodes of the network itself. The basis of this process is to quantify the network information obtained by assigning numerical values to each node, representing numerically the information. These values are used to construct a data matrix that allows us to apply a classification algorithm of nodes in a network in order of importance. From this numerical ranking of the nodes, the process finish with the graphical visualization of the network. An example is shown to illustrate the whole process.