Electronics and Telecommunications Research Institute

Noh-Sam Park

Jong Hyun Jang

Mi Kyong Han

Sang Wook Park

Kwang Roh Park

Hyun Chul Kang

Jong-Hyun Jang

Eun Jin Ko

Ji Yeon Kim

Kwang-Roh Park

Hyun-Chul Kang

Mi Ryong Park

Sangwook Park

Jae-Kwan Yun

Eun-Jin Ko

Mi-Kyong Han

The present disclosure relates to a system and method for detecting an aircraft energy anomaly using an artificial neural network learning model. A system for detecting an aircraft energy anomaly using an artificial neural network learning model according to the present disclosure includes an input interface device for receiving ADS-B (Automatic Dependent Surveillance-Broadcast) data, a memory storing a program which generates a specific energy feature for energy state analysis by extending the ADS-B data through a preprocessing, and a processor for executing the program, wherein the processor generates an energy distribution model by the use of the specific energy feature, and performs artificial neural network-based energy anomaly learning.

System and method for detecting aircraft energy anomaly using neural network model

Provided is a sensory effect adaptation method performed by an adaptation engine, the method including identifying first metadata associated with an object in a virtual world and used to describe the object and converting the identified first metadata into second metadata to be applied to a sensory device in a real world, wherein the second metadata is obtained by converting the first metadata based on a scene determined by a gaze of a user in the virtual world.

Sensory effect adaptation method, and adaptation engine and sensory device to perform the same

Exemplary embodiments of the present invention relate to a telepresence service providing method and an apparatus thereof. The telepresence service providing method according to the present invention comprises: receiving at least one of current location information, peripheral device information acquired at the current location, and noise information acquired at the current location from a user device; generating or updating a service profile which specifies a service mode corresponding to the user device and a device profile which specifies functions which the user device and the peripheral devices can provide, based on the received information; and transmitting data for telepresence services to at least one device of the user device and the peripheral devices based on the profiles. According to exemplary embodiments of the present invention may provide a telepresence service with consideration of user's surrounding environment.

Personalized telepresence service providing method and apparatus thereof

Disclosed herein are a metaverse client terminal and method for providing a metaverse space capable of enabling interaction between users. The metaverse client terminal includes a sensing data collection unit, a motion state determination unit, a server interface unit, and a metaverse space provision unit. The sensing data collection unit collects sensing data regarding a motion of a first user. The motion state determination unit determines a motion state of the first user, and generates state information data of the first user. The server interface unit transmits the state information data of the first user to a metaverse server, and receives metaverse information data and state information data of a second user. The metaverse space provision unit generates a metaverse space, generates a first avatar and a second avatar, incorporates the first and second avatars into the metaverse space, and provides the metaverse to the first user.

Metaverse client terminal and method for providing metaverse space capable of enabling interaction between users

An image encoding method using a Binary Partition Tree (BPT) includes performing the BPT on a reference frame, detecting blocks, each having a difference in a pixel value exceeding a threshold value in a current frame, based on a result of the BPT of the reference frame, and performing the BPT of the current frame on the detected blocks. In accordance with the present invention, block partition is not applied to all frames, but a partial partition method based on a difference between the pixel values of a reference frame and a current frame to be encoded is provided. Accordingly, the encoding speed within the P frame or the B frame can be improved. Furthermore, the PSNR of a corresponding frame can be maintained within a specific range of the PSNR of a reference frame, and a compression effect can be improved.

Image encoding method using binary partition tree

The present invention relates to an image encoding method using an adaptive preprocessing scheme, including loading an input image for each frame, determining an encoding type of each of the frames, determining the size of a block to be encoded in each frame according to the determined encoding type, determining blocks that can be replicated from the blocks having the determined size and performing an intra-picture replication preprocessing or inter-picture replication preprocessing procedure on the determined blocks according to the encoding types of the frames, and encoding the frames on which the preprocessing procedure has been performed.

Growing community of inventors

Daejeon, South Korea

Noh-Sam Park