Training deep learning-based synthetic aperture radar automatic target recognition (SAR-ATR) systems for use in an “open-world” operating environment has, thus far proven difficult. Most SAR-ATR are designed to achieve maximum accuracy a limited set of classes, yet ignore the implications encountering novel classes during deployment. Even worse, standard learning training objectives fundamental...

In this paper, a study on sonification of manual wheelchair movements is presented. The aim was to contribute to both rehabilitation contexts and in wheelchair sports contexts, by providing meaningful auditory feedback for training of manual wheelchair operation. A mapping approach was used where key parameters of manual wheelchair maneuvering were directly mapped to different sound models. The...

An artificial neural network (ANN) and affinity propagation (AP) algorithm based user categorization technique is presented. The proposed algorithm is designed for closed access femtocell network. ANN is used for user classification process and AP algorithm is used to optimize the ANN training process. AP selects the best possible training samples for faster ANN training cycle. The users are di...

In this paper, full-duplex radios are used to continuously update the channel state information at the transmitter, which is required to compute the downlink precoding matrix in MIMO broadcast channels. The full-duplex operation allows leveraging channel reciprocity for open-loop uplink training to estimate the downlink channels. However, the uplink transmission of training creates interference...

OBJECTIVE To discuss the significance of comprehensive rehabilitation training combined with multimodal analgesia (MMA) for the early knee function recovery of patients with knee bone tumor who underwent prosthesis replacement operation. METHODS Sixty patients with knee bone tumor who underwent prosthesis replacement operation were selected and randomly divided into two groups according to re...