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Deep learning can enable Internet of Things (IoT) devices to interpret unstructured multimedia data and intelligently react to both user and environmental events but has demanding performance and power requirements. The authors explore two ways to successfully integrate deep learning with low-power IoT products.
Due to the thriving of the mobile devices market, there has been a great momentum in adopting Java technology in embedded mobile devices where optimizing energy consumptions extremely critical. However, since Java Virtual Machines(JVMs) are conventionally used for server side clusters, the energy and memory tradeoffs on embedded devices are not well understood. In this work, we attempt to find out...
The control methods and operation characteristics of D-STATCOM under unbalanced grid voltage are studied in this paper. Through methods of switching function and sequence network, the effects on voltage output of D-STATCOM caused by grid voltage unbalance and its over current are analyzed. The performance of voltage output of D-STATCOM is improved with modified modulation method of switching function...
In this paper, the current state of the art for large-scale InP photonic integrated circuits (PICs) is reviewed with a focus on the devices and technologies that are driving the commercial scaling of highly integrated devices. Specifically, the performance, reliability, and manufacturability of commercial 100-Gb/s dense wavelength-division-multiplexed transmitter and receiver PICs are reviewed as...
This paper presented a fast algorithm which could measure similarity between two meshes interactively. The algorithm was based on CUDA (Compute Unified Device Architecture) technology. In order to fully utilize the computing power of GPU, we developed parallel method to construct uniform grid for fast space indexing of triangles. Special data structure was designed on device end to overcome the disadvantage...
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