Electronics and Telecommunications Research Institute

Hyun-Woo Cho

Kyung-Hee Lee

Do-Hyung Kim

Yong-Sun Kim

Ki-Hong Kim

Jae-Ho Lee

Jin-Wuk Seok

Seon-Tae Kim

Cheol Ryu

Ji-Young Kwak

Hang-Kee Kim

Jae-Bok Park

Chang-Sik Cho

Young-Hee Kim

Hyung-Seok Lee

Seok-Jin Yoon

Hong-Soog Kim

Disclosed herein are a neural network model deployment method and apparatus for providing a deep learning service. The neural network model deployment method may include providing a specification wizard to a user, searching for and training a neural network based on a user requirement specification that is input through the specification wizard, generating a neural network template code based on the user requirement specification and the trained neural network, converting the trained neural network into a deployment neural network that is usable in a target device based on the user requirement specification, and deploying the deployment neural network to the target device.

Neural network model deployment method and apparatus for providing deep learning service

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.

Apparatus and method for controlling an embedded device with a host computer in real time

Disclosed herein is a real-time dynamic non-planar projection apparatus and method, which can reduce visual errors, such as distortion of a screen image or deviation from a border area, upon projecting screen images from a projector onto the surface of a non-planar object that is moved in real time. The presented real-time dynamic non-planar projection apparatus includes a preprocessing unit for preprocessing data related to a static part of a screen image to be projected onto a non-planar surface. A real-time projection unit classifies non-planar objects in the screen image to be projected onto the non-planar surface into a rigid body and a non-rigid body using data output from the preprocessing unit, respectively renders the rigid body and the non-rigid body depending on a viewer's current viewpoint, and projects rendered results onto the non-planar surface via projection mapping.

Real-time dynamic non-planar projection apparatus and method

Growing community of inventors

Sejong-si, South Korea

Hyun-Woo Cho