Lo que se presenta en este documento es una experimentación sobre el desarrollo y los resultados de las pruebas realizadas de una aplicación para computadora, enfocadas a personas con discapacidad visual. Los objetivos del sistema interactivo son: dar a conocer algunos lugares del estado de Aguascalientes, México; y fortalecer la memoria del usuario ciego. El propósito de este artículo es que mediante la construcción del sistema y las pruebas realizadas se da a conocer el grado de interactividad para personas ciegas. El construir aplicaciones con calidad enfocada a la interactividad es importante, ya que, para personas con discapacidad, puede mejorar el grado de uso de las tecnologías (dispositivos móviles). Para determinar la calidad es necesario conocer las características que debe de tener este tipo de aplicaciones, como lo son: pantalla grande, teclado adecuado, ergonomía, entre otras [1], dependiendo del tipo de discapacidad al que se esté refiriendo, es decir, se debe de caracterizar la aplicación para poder determinar cómo desarrollar la aplicación y la medición de la calidad mediante el grado de interacción obtenido. La principal aportación de este trabajo es mostrar los resultados obtenidos del grado de interactividad del sistema al ser utilizado por personas ciegas, así como mostrar parte del proceso de producción de software en el trabajo en equipos definido por Watts Humphrey utilizado para la construcción de la aplicación (TSP) [2].

Nowadays, context-aware systems use data obtained from various sources to adapt and provide services of interest to users according to their needs, location or interaction with the corresponding environment. However, the use of heterogeneous sources creates a huge amount of data that may differ in format, transmission speed and may be affected by environmental noise. This generates some inconsistency in data, which must be detected in time to avoid erroneous analysis. This is done using data fusion, which is the action for integrating diverse sources to be analyzed according to a given context. In this work, we propose a scheme of data fusion of heterogeneous sources, supported by a distributed architecture and Bayesian inference as fusion method. As a practical experiment, data were collected from three DHT22 sensors, whose measurements were relative humidity and temperature. The purpose of the experiment was to analyze the variation of these measurements over 24 hours, and fusion them to obtain integrated data. This proposed of data fusion represents an important field of action for the knowledge generation of interest in context-aware systems, for example for the analysis of the environment in order to take advantage of the use of energy and provide a comfortable working environment for the users.

A Mobile Collaborative System (MCOS) enable the cooperation of the members of a team to achieve a common goal by using a combination of mobile and fixed technologies. MCOS can be enhanced if the context of the group of users is considered in the execution of activities. This paper proposes a novel model for Context-Aware Mobile COllaborative Systems (CAMCOS) and a functional architecture based on that model. In order to validate both the model and the architecture, a prototype system in the tourism domain was implemented and evaluated.

A data warehouse (DW) is a vast collection of historical data built to support multidimensional data analysis applications. In this context, an important problem is that of evolving the implementation (multidimensional, relational) schema of a DW to incorporate new requirements. This paper introduces a conceptual evolution model based on bitemporal versioning of multidimensional schemas, which allows one to modify the DW schema (a) in an implementation-independent manner, and (b) without affecting the operation of existing applications. It also presents a SQL-like language associated to this model, which offers expressions to create and change versions of multidimensional schemas