Electronics and Telecommunications Research Institute

Seon-Tae Kim

Ji-Young Kwak

Pyeong-Soo Mah

Kyung-Hee Lee

Jae-Bok Park

Chang-Sik Cho

Jeong-Woo Lee

Yu-Seung Ma

Ik-Soo Shin

Tae-Jin Lee

Jong-Ho Park

Kyeong Tae Kim

Jin-Wuk Seok

Kyeong-Tae Kim

Pyeong Soo Mah

Gyu Sang Shin

Duk Kyun Woo

Duk-Kyun Woo

Hyun-Woo Cho

Sang Cheol Kim

Yu Seung Ma

Bum-Ho Kim

Sang-Cheol Kim

Hae Yong Kim

Bum Ho Kim

Hong-Soog Kim

Woo-Suk Cha

Jun-Keun Song

Hae-Yong Kim

Chang-Young Oh

Hui-Ung Park

Mi-Sun Yu

Byung-Gyu Kim

Suk-Kyu Song

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

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.

Apparatus and method for generating executable image of neural network

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.

Apparatus and method for developing neural network applications

Disclosed herein are a dynamic scheduling method for guaranteeing Quality of Service QoS depending on network transmission traffic and a system using the same. The dynamic scheduling method includes assigning communication channels to respective nodes based on Identifications (IDs) of parent nodes corresponding to the respective nodes, setting priorities for assignment of time slots to the respective nodes in each quarter based on data traffic volumes corresponding to the respective nodes, and assigning time slots to the respective nodes in each quarter depending on the set priorities for assignment of the time slots.

Dynamic scheduling method for guaranteeing quality of service depending on network transmission traffic in large-scale IOT environment and system using the same

There is provided a network join method including transmitting a long beacon message including transmission timing information of a first short beacon message to a child node network device, transmitting a first short beacon message including information regarding an interval in which it is possible to transmit a message, to the child node network device according to a transmission timing of the first short beacon message, receiving a slot allocation request message from the child node network device according to the interval in which it is possible to transmit a message, and checking whether the child node network device joins a network, and transmitting a slot allocation confirmation message to the child node network device.

Network join method and network device using the network join method

Disclosed herein is a method for setting up active networking of smart devices for providing a converged service. In the method of setting up active networking of smart devices for providing a converged service, each of a plurality of smart objects broadcasts location information thereof. A smart object neighboring a largest number of smart objects is selected as a smart zone manager from among the plurality of smart objects. The selected smart zone manager broadcasts smart zone information to neighbor smart objects, and then forms a smart zone.

Apparatus and method for setting up active networking of smart devices for providing converged service

Disclosed herein is a method of selecting a relay node in a mobile ad-hoc network. The relay node selection method includes updating a neighbor node list based on messages received from one or more other nodes, and selecting a 1-hop neighbor node having a highest Multi-Point Relay (MPR) selector counter (MSC) value, from among one or more 1-hop neighbor nodes included in the updated neighbor node list, as an MPR node. Therefore, the present invention can prevent unnecessary channel competition and conflicts between nodes and improve network performance.

Method of selecting relay mode in mobile ad-hoc network

A low cost error-based program testing apparatus and method are provided. The testing apparatus according to an embodiment of the present invention generates error programs by adding errors to a test target program, selects a test target error program associated with test data among the error programs using error information obtained through the error addition, receives the test data to execute the test target error program, and tests for presence/absence of the errors. Accordingly, it is possible to reduce a text execution time and testing costs.

Low cost error-based program testing apparatus and method

Disclosed herein is an ad-hoc multimedia group communication terminal which is robust to packet loss and includes a multimedia transmitter. The media transmitter includes a reception status monitoring module, an error recovery level/traffic adjustment module, a bit stream division and error recovery data generation module, and a media data packet generation module. The reception status monitoring module recognizes packet reception status information relevant to the reception side terminals based on control packets from each of the reception side terminals. The error recovery level/traffic adjustment module adjusts the error recovery level and the amount of traffic of the media data packets. The bit stream division and error recovery data generation module generates error recovery data to be transmitted to the reception side terminals based on the error recovery level. The media data packet generation module generates the media data packets and error recovery data packets.

Ad-hoc multimedia group communication terminal robust to packet loss and method of operating the same

A device for eliminating a block artifact phenomenon of a decoded image frame, and an eliminating method thereof. A method for eliminating a block artifact phenomenon according to the present invention includes: extracting pixel information including a magnitude of edge response, an edge direction, and an edge position, by applying an edge detector to an arbitrary pixel in an image frame; distinguishing the pixel into a non-edge pixel, an object edge pixel, or a block edge pixel by using the extracted pixel information; and performing filtering according to the distinguishing result. In this manner, an object edge information is selectively protected, so that an improved image quality may be provided.

Block artifact phenomenon eliminating device and eliminating method thereof

Growing community of inventors

Daejeon, South Korea

Seon-Tae Kim