ENERGY EFFICIENCY AND SUSTAINABILITY
Development of predictive models for optimizing resources in order to improve energy efficiency and reduce consumption.
1.1 ENVIRONMENTAL INTELLIGENCERelationship between the amount of energy consumed and the products or services obtained. Improved this relationship by technological agents in order to improve the comfort-economy ratio.
1.2 INTELLIGENT ENVIRONMENTSEnvironments based on artificial intelligence acting on their own environment and react to changes autonomous systems that occur therein.
1.3 SensorisationIntroduction of analog information as to obtain characteristics of the environment as a basis for environmental decision.
1.4 TECHNICAL PREDICTIVETechniques that predict characteristics or behaviors based on the information collected.
1.5 COMMUNICATION IN ENVIRONMENTS sensorizedImprovement and adaptability of the media between systems present in an intelligent environment for performance.
1.6 SECURITY SETTINGS sensorizedDesign of security plans for sensorized environments in order to prevent the network of the most common attacks on architecture.
Creating spaces where users interact naturally and seamlessly with the devices in the environment.
2.1 MONITORING SYSTEMSDesigning systems that allow the collection of information about the user and the environment ubiquitously.
2.2 INFORMATION COLLECTION AND TREATMENT IN REAL TIMEData collection and processing them in order to obtain new information instantly. An example is the recognition of activities performed by a user both offline and using accelerometry and learning algorithms on mobile devices.
2.3 APPLICATION DEVELOPMENT FOR MOBILE DEVICESWeb services-based applications that allow communication between mobile devices and information systems and centralized processing.
2.4 Telecare systemsSystems for remote assistance in certain environments.
2.5 NETWORKSSocial interaction between users via the network.
Development of techniques to generalize behaviors from unstructured information.
3.1 DATA MININGResident nontrivial extraction of implicit information in a dataset.
3.2 SUPPORT VECTOR MACHINES (SVM)Machines using supervised learning algorithms or maximum margin classifiers.
3.3 SIMULATION AND QUALITATIVE REASONINGModeling of complex systems through qualitative equations that resemble human reasoning with common sense.
3.4 MODEL IDENTIFICATION AND ONTOLOGIESDetermination of characteristic patterns in data sets or time series and formulation of conceptual schemes within certain domains to facilitate communication and exchange of information between entities.
3.5 OPTIMIZATIONFinding optimal solutions to maximize or minimize a criterion or variable based on a number of restrictions.
3.6 TEMPORAL REASONINGReasoning based on identification and comparison of temporal patterns
Systems for determining the position and motion of objects or persons in a given context, obtained from these features information on the activities carried out by elements involved in positioning.