Idinfor Group

ENERGY EFFICIENCY AND SUSTAINABILITY


Development of predictive models for optimizing resources in order to improve energy efficiency and reduce consumption.
1.1 ENVIRONMENTAL INTELLIGENCE
Relationship 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 ENVIRONMENTS
Environments based on artificial intelligence acting on their own environment and react to changes autonomous systems that occur therein.
1.3 Sensorisation
Introduction of analog information as to obtain characteristics of the environment as a basis for environmental decision.
1.4 TECHNICAL PREDICTIVE
Techniques that predict characteristics or behaviors based on the information collected.
1.5 COMMUNICATION IN ENVIRONMENTS sensorized
Improvement and adaptability of the media between systems present in an intelligent environment for performance.
1.6 SECURITY SETTINGS sensorized
Design of security plans for sensorized environments in order to prevent the network of the most common attacks on architecture.

UBIQUITOUS COMPUTING


Creating spaces where users interact naturally and seamlessly with the devices in the environment.
2.1 MONITORING SYSTEMS
Designing systems that allow the collection of information about the user and the environment ubiquitously.
2.2 INFORMATION COLLECTION AND TREATMENT IN REAL TIME
Data 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 DEVICES
Web services-based applications that allow communication between mobile devices and information systems and centralized processing.
2.4 Telecare systems
Systems for remote assistance in certain environments.
2.5 NETWORKS
Social interaction between users via the network.

LEARNING SYSTEMS


Development of techniques to generalize behaviors from unstructured information.
3.1 DATA MINING
Resident 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 REASONING
Modeling of complex systems through qualitative equations that resemble human reasoning with common sense.
3.4 MODEL IDENTIFICATION AND ONTOLOGIES
Determination 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 OPTIMIZATION
Finding optimal solutions to maximize or minimize a criterion or variable based on a number of restrictions.
3.6 TEMPORAL REASONING
Reasoning based on identification and comparison of temporal patterns

POSITIONING SYSTEMS


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.
4.1 PREDICTION TECHNIQUES DESTINATIONS
Development similarity algorithms and mathematical models to predict geographic locations of people during their daily lives.
4.2 ALTERNATIVE POSITIONING SYSTEMS
Use of new technologies such as tracking systems both indoors and outdoors, cost reduction considering battery used in mobile devices.
4.3 POSITIONING SYSTEMS BASED CONTEXT
Use of mobile terminals sensors for detecting various aspects of the context surrounding a user: movement patterns, means of transport used, type of noise around you, temperature, humidity, etc.
4.4 GEOGRAPHIC INFORMATION SYSTEMS
Using GIS to develop mobile applications that allow users access to augmented reality.