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Transmitting massive amounts of image and audio data acquired by Internet-of-Everything (IoE) devices to data center servers for intelligent recognition processes is impractical for energy reasons, requiring in-situ processing of such data. However, algorithms accelerated by previous recognition processors [1, 2] are limited to specific applications, therefore, each IoE device may require an application-specific...
Most data-intensive operations for multimedia applications such as image processing, vision, and 3D graphics require high external memory bandwidth. In augmented-reality (AR) processors [1], both 3D graphics and vision operations are required, so memory bandwidth becomes even more critical. In [1], however, memory bandwidth is not considered, floating-point processing is not supported, and there is...
This paper presents a self-sustaining system, and an effective method in enhancing overall energy efficiency. The proposed system consists of the two major nodes: a slave node, which contains the environment information (e.g., temperature, humidity, etc.); and a master node, which communicates with the slave nodes, and transmit the slave node's information to users. All slave nodes are under control...
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