Textiles Inteligentes

Tecnologías

• Ambient Intelligent
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Tecnologías
The research group BISITE has extensive experience in the development and implementation of systems based on Ambient Intelligence (Ambient Intelligence) and related areas, such as Ambient Assisted Living, eHealth and eInclusion, among others. These systems are able to obtain background information and automatically adjust to the user’s needs and environment characteristics, all in a simple and ubiquitous form for users, with the objective to optimize and facilitate their daily activities.
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• Big data
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Tecnologías
Big data refers to a process that is used when traditional data mining and handling techniques cannot uncover the insights and meaning of the underlying data. Data that is unstructured or time sensitive or simply very large cannot be processed by relational database engines. This type of data requires a different processing approach called big data, which uses massive parallelism on readily-available hardware
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• Energy Efficiency
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Tecnologías
The increase in electricity consumption has led to desorrar systems that optimize energy expenditure and to monitor the use of appliances or systems using the mains. Statistic techniques, neural networks or fuzzy systems are used to process the data collected and take decisions.
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• Intelligent Modelling
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Tecnologías
The Intelligent Modelling is a revolutionary new approach to process modeling and pattern recognition, which is applicable to virtually any automated process. It captures the behavior of a process by building empirical models based on historical data. Deviations are catalogued into signatures to form patterns that are used to identify problems.
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• Multi-Agents System
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Tecnologías
One of the most representative fields in the study and development of systems of BISITE, is research on agent technology. It is a fact that the use of agents and multiagent systems for application development in dynamic and flexible environments is growing. In general, agents are being used in a variety of applications because they offer substantial advantages, including the naturalness of the model to conceptualize different types of software. Similarly, multi-agent systems represent a new way of analyzing, designing and implementing complex software systems. A multiagent system consists of several different autonomous agents interacting to achieve the desired function. Each agent performs a series of tasks and communicates with other agents to exchange information or demand a service. Both the agents and multiagent systems research fields are currently in full development, which are increasingly spending more resources.
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