Abstract:
A resource resettable deep neural network accelerator according to an embodiment of the present disclosure includes: a memory layer including a scratchpad memory layer configured to divide deep neural network parameter data (hereinafter, data) in an external memory layer into a plurality of tiles and to load the divided tiles, and a register file memory layer configured to load tiled data of the scratchpad memory layer; and a plurality of cores configured to process an inference operation for the data loaded in the register file memory layer, wherein the memory layer includes a virtual tiling layer added to a certain location for loading the tiled data from a previous memory layer so as to correspond to a specific tiling size.
Abstract:
Provided is a method and apparatus for registering metadata regarding a drone image. The apparatus for registering metadata regarding a drone image acquires captured data, and parses metadata from the captured data. The apparatus for registering metadata regarding a drone image generates new metadata using additional information and the parsed metadata, and registers the generated new metadata and the captured data to generate new captured data.
Abstract:
A cyber-physical system and a method of monitoring a virtual machine thereof are provided. The cyber-physical system includes a plurality of target controllers that includes middleware operating based on different operating systems and that control different targets, and a system monitor that includes integrated middleware of analyzing and synthesizing information collected from the middleware. First virtual machines corresponding to virtualization of the target controllers and a second virtual machine corresponding to virtualization of the system monitor are independently formed through a virtual machine monitor.