Agentes embebidos para la gestión de sonidos

La inteligencia ambiental ha presentado avances a lo largo de los últimos años. La incorporación de técnicas de inteligencia artificial ha posibilitado aspectos como el reconocimiento de patrones permitiendo así una mejor adaptación de estos sistemas. En este trabajo se presenta la arquitectura multiagente PANGEA que incorpora diferentes agentes y sensores encargados de dar soporte a usuarios en el hogar caso de determinadas alarmas o incidencias. El sistema incorpora agentes en dispositivos hardware arduino con módulos de reconocimiento y bandas luminosas

PANGEA – Platform for Automatic coNstruction of orGanizations of intElligent Agents

This article presents PANGEA, an agent platform to develop open multiagent systems, specifically those including organizational aspects such as virtual agent organizations. The platform allows the integral management of organizations and offers tools to the end user. Additionally, it includes a communication protocol based on the IRC standard, which facilitates implementation and remains robust even with a large number of connections. The introduction of a CommunicationAgent and a Sniffer make it possible to offer web services for the distributed control of interaction

Menu Navigation in Mobile Devices Using the Accelerometer

In this article an application for mobile devices is presented. This application uses the accelerometer integrated into the own device to detect certain user movements and use them to navigate through the menus. The application is destined to those users with visual incapacity who need an alternative mechanism for the selection of the different options in the menus

Proximity Detection Prototype Adapted to a Work Environment

This article presents a proximity detection prototype that uses ZigBee technology. The prototype is primarily oriented to proximity detection within an office environment and some of the particular characteristics specific to such an environment, including the integration of people with disabilities into the workplace. This allows the system to define and manage the different profiles of people with disabilities, facilitating their job assimilation by automatically switching on or off the computer upon detecting the user’s presence, or initiating a procedure that automatically adapts the computer to the personal needs of the user

A rule-based model for customized risk identification in distributed software development projects

Many project risks in distributed software development are very different from the ones in collocated development and therefore are often overlooked. At the same time, they depend to a large extent on project-specific characteristics. This article presents a model for identifying risks early in a project. This model systematically captures experiences from past projects and is based on a set of logical rules describing how project characteristics influence typical risks in distributed development. Thus, the model is able to assess risks individually for each project. It was developed by applying qualitative content analysis to 19 interviews with practitioners. An evaluation using expert interviews showed that the risks identified by the model matched the actual experiences in 81% of the cases; of these, 40% have not been regarded yet at project start. The article describes the concepts of the model, its instantiation and evaluation, followed by a conclusion and future work

A rule-based model for customized risk identification and evaluation of task assignment alternatives in distributed software development projects

Distributed software development imposes new project risks that are very different from the ones in collocated development and are overlooked easily. At the same time, they depend to a large extent on project-specific characteristics. Therefore, new methods for identifying these risks in distributed projects have to be developed. This article presents a model for identifying these risks at the beginning of a project. The model systematically captures experiences from past projects in a set of logical rules describing how project characteristics influence typical risks in distributed development. Thus, it is able to assess risks individually for each project. In addition, the model can be used for evaluating different task assignment alternatives, which makes it possible to allocate tasks systematically. An instance of the model was developed by applying qualitative content analysis to 19 interviews with practitioners. An evaluation using expert interviews showed that the risks identified by the model matched the actual experiences in 81% of the cases; of these, 40% had not been regarded at project start