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In the context of a magnetic field-based indoor location system, this paper proposes a feature extraction process that uses magnetic-field temporal and spectral features in order to develop a classification model of indoor places, using only a magnetometer included in popular smartphones. We initially propose 46 features, 26 derived from the spectral evolution and 20 from the temporal one, chosen...
Aiming at the shortages of the existing data-mining model for forecasting the industry security, a classification model based on rough sets and BP neural network (BPNN) is put forward in this paper. First, the theory of rough set is applied to pick up and reduce the index attributes. Then, the training samples are sent to the BPNN to train and learn. After that, the sorts of the coal industry security...
Besides cardiovascular diseases, heart attacks are the main cause of death around the world. Pre-monitoring or pre-diagnostic helps to prevent heart attacks and strokes. ECG plays a key role in this regard. In recent studies, SVM with different kernel functions and parameter values are applied for classification on ECG data. The classification model of SVM can be improved by assigning membership values...
The analysis of geographical changes has been one of the important directions of the GIS research agenda over the past ten years. But an explicit representation of increment change which clearly describes the semantics of change and supports the database tracking of geographical changes are not completely considered within current researches. In order to clearly distinguish the increment change, we...
IP traffic or Internet flow classification has played an important role in many network activities. Many works have been carried out for the past several years targeting different goals including Quality-of-Service support, security, management, and provisioning. However, these approaches are developed and evaluated separately without a general model that can be used to identify, categorize, and compare...
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