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We introduce a new parallel computing and communication architecture, Reflex-Tree, with massive sensing, data processing, and control functions suitable for future smart cities. The central feature of the proposed Reflex-Tree architecture is inspired by a fundamental element of the human nervous system: reflex arcs, the neuromuscular reactions and instinctive motions of a part of the body in response...
In clustering methods, the estimation of the optimal number of clusters is significant for subsequent analysis. As a simple clustering method, the fuzzy c-means algorithm (FCM) has been widely discussed and applied in pattern recognition and machine learning. However, the FCM could not guarantee unique clustering result because initial cluster number is chosen randomly. As the number of clusters is...
Applying electromyographic (EMG) signal pattern recognition to artificial leg control is challenging because leg EMGs are non-stationary. Time-frequency features are suitable for representing non-stationary signals; however, the computational complexity to extract time-frequency features is too high and current embedded systems used for artificial limb control are inadequate for real-time computing...
In this paper, it is presented that a markerless registration method, for an augmented reality system, is based on minimizing the sum of squared difference (SSD) between the stored image of patch previously and the current one in real time. In the proposed algorithm, the correspondences between frames are obtained in the process of fixed region tracking and the homograph of the region can be computed...
Considering the time-frequency characteristic of the partial discharge (PD) signals, the kind of improved wavelet neural network is constructed by principle of the temporal-scaling approach, and it is that using temporal-scaling domain of the wavelet basis function being chosen covers that of the partial discharge signals. It is fact that the PD signals are transformed by the wavelet based on the...
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