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Event-driven DSPs have the advantage of activity-dependent power consumption [1], and event-driven neural networks have shown superior power efficiency in real-time recognition tasks [2]. A bio-inspired silicon cochlea [3] functionally transforms sound input into multi-frequency-channel asynchronous event output, and hence is the natural candidate for the audio sensing frontend of event-driven signal...
Most of the recent research on Object Tracking Sensor Networks has focused on collecting all data from the entire sensor network and placing it into the sink, which delivers the predicted locations to the corresponding nodes in order to predict an object's movement. This collection method affects the freshness of the data and creates latency in predicting movement patterns. In addition, due to the...
Ordered 2-D arrays of silver nanoparticles encapsulated by anodic alumina have been fabricated electrochemically to demonstrate reliable, durable, reproducible, and high sensitivity sensing by means of surface-enhanced Raman spectroscopy of micro- and nano-materials including inorganic and organic molecules. In this paper, fabrication process of the sensor and its applications to detection and identification...
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