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In this paper, a novel method based on joint statistical framework is proposed for classification of polarimetric SAR image. The Gaussian model of the maximum eigenvalue and volume scattering power for coherency matrix is estimated to describe their statistical distribution. And Bayesian classifier is used to classify the polarimetric SAR image. In order to make full use of the local context structure...
Approaches based on the measurement of the received signal strength difference (RSSD) for pairs of sensors offer interesting possibilities for using networks of simple sensors to geolocate radio frequency emitters. This paper compares the performance of four Least Squares-based RSSD geolocation algorithm implementations for non-cooperative emitters. Both simulated and measured data are used to compare...
Recent advances in Wireless Sensor Networks (WSNs) make them more important to apply. Therefore, security issues are more significant in WSNs. WSNs are susceptible to some types of attacks since they are consisted of cheap and small devices and are deployed in open and unprotected environments. In this research, an Intrusion Detection System (IDS) created in cluster head is proposed. The proposed...
The rapid growth in the development of Internet-based information systems increases the demand for natural language interfaces that are easy to set up and maintain. Unfortunately, the problem of deep understanding natural language queries is far from being solved. In this paper, an automated question answering system based on domain ontology and question template is proposed, which does not need deep...
Ultra-wideband (UWB) enables accurate Localization and Tracking (LT) applications. However, the required and sophisticated time of arrival (ToA) ranging procedure relies on accurate synchronization and time measurements. Today, only few UWB devices support the required ranging feature. Examples are pulse based low data rate (LDR) UWB devices. Conventional multiband OFDM based high data rate (HDR)...
This paper presents a novel method for learning classes of temporal sequences using a bag-of-features approach. We define a temporal sequence as a bag of temporal features and show how this representation can be used for the recognition and segmentation of temporal events. A codebook of temporal descriptors, representing the local temporal texture, is automatically constructed from a set of sample...
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