Abstract:
Disclosed herein is an apparatus for controlling an embedded device, through which the embedded device may be controlled in a host computer in real time. The apparatus for controlling an embedded device includes a host computer connected with a monitor, a mouse, and a keyboard; an embedded device; and a connection module for connecting the host computer with the embedded device such that a first task window for controlling the host computer and a second task window for controlling the embedded device are displayed on the monitor.
Abstract:
Disclosed herein are a user terminal for performing mutual awareness with an awareness target terminal located within a preset distance and a method for performing mutual awareness between a user terminal and an awareness target terminal located within a preset distance. The user terminal includes a signal generation unit and a magnetic field formation unit. The signal generation unit generates pulse signals. The magnetic field formation unit generates magnetic fields that correspond to the pulse signals and that generate induced currents in the awareness target terminal.
Abstract:
An apparatus and method for generating a neural network executable image are disclosed. The apparatus receives user requirements including a default neural network model and training result data for generating a neural network executable image required by a user, checks whether the default neural network model included in the user requirements is capable of being supported in a target system in which the neural network executable image is to be installed, converts the default neural network model into a neural network model executable in the target system, converts the training result data by reconfiguring the data format set of the training result data, and generates a neural network executable image by combining the converted neural network model and the converted training result data.
Abstract:
Disclosed herein are an apparatus and method for developing a neural network application. The apparatus includes one or more processors and executable memory for storing at least one program executed by the one or more processors. The at least one program receives a target specification and an application specification including user requirements, searches for a neural network model corresponding to the target specification and the application specification in a database, builds an inference engine for performing a neural network operation used by the neural network model, and generates a target image for executing the neural network model to be suitable for a target device using the inference engine.