公开(公告)号：US20240069875A1

公开(公告)日：2024-02-29

申请号：US18209617

申请日：2023-06-14

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jae-Bok PARK ,  Chang-Sik CHO ,  Kyung-Hee LEE ,  Ji-Young KWAK ,  Seon-Tae KIM ,  Hong-Soog KIM ,  Jin-Wuk SEOK ,  Hyun-Woo CHO

IPC: G06F8/36 ,  G06F8/60 ,  G06F9/451

CPC classification number: G06F8/36 ,  G06F8/60 ,  G06F9/453

Abstract: 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.

公开(公告)号：US20230315402A1

公开(公告)日：2023-10-05

申请号：US18098402

申请日：2023-01-18

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Chang-Sik CHO ,  Jae-Bok PARK ,  Kyung-Hee LEE ,  Ji-Young KWAK ,  Seon-Tae KIM ,  Ik-Soo SHIN

IPC: G06F8/35 ,  G06N3/10 ,  G06F8/10

CPC classification number: G06F8/35 ,  G06N3/10 ,  G06F8/10

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.

公开(公告)号：US20140043430A1

公开(公告)日：2014-02-13

申请号：US13953035

申请日：2013-07-29

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Mi-Sun YU ,  Ji-Young KWAK ,  Seon-Tae KIM ,  Jun-Keun SONG ,  Woo-Suk CHA

IPC: H04N7/15

CPC classification number: H04N7/15 ,  H04L67/1046 ,  H04L67/1068 ,  H04W4/08

Abstract: The present invention relates to an apparatus and method for providing and controlling multimedia group communication service based on a mesh network. The apparatus for providing a group communication service includes a group communication management module, and an audio and video management module. The group communication management module controls and manages group communication between a plurality of user terminals connected to an internal network independent of an external network. The audio and video management module receives audio and video data for group communication from the microphone and camera of each of the user terminals and manages the audio and video data. The group communication management module includes a packet management unit configured to generate packets that are used to control the group communication, a terminal search unit, and a group communication control unit.

Abstract translation: 本发明涉及一种基于网状网络提供和控制多媒体组通信服务的装置和方法。 用于提供组通信服务的装置包括组通信管理模块和音频和视频管理模块。 组通信管理模块控制和管理连接到独立于外部网络的内部网络的多个用户终端之间的组通信。 音频和视频管理模块从每个用户终端的麦克风和摄像机接收用于组通信的音频和视频数据，并管理音频和视频数据。 组通信管理模块包括：分组管理单元，被配置为生成用于控制组通信的分组，终端搜索单元和组通信控制单元。

公开(公告)号：US20230342133A1

公开(公告)日：2023-10-26

申请号：US18098486

申请日：2023-01-18

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Kyung-Hee LEE ,  Ji-Young KWAK ,  Seon-Tae KIM ,  Jae-Bok PARK ,  Ik-Soo SHIN ,  Chang-Sik CHO

IPC: G06F8/61 ,  G06F8/10

CPC classification number: G06F8/63 ,  G06F8/10

Abstract: Disclosed herein are an apparatus and method for generating a neural network executable image. 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 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.

公开(公告)号：US20230316091A1

公开(公告)日：2023-10-05

申请号：US18166948

申请日：2023-02-09

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Jin-Wuk SEOK ,  Ji-Young KWAK ,  Seon-Tae KIM ,  Hong-Soog KIM ,  Jae-Bok PARK ,  Kyung-Hee LEE ,  Chang-Sik CHO ,  Hyun-Woo CHO

IPC: G06N3/098

CPC classification number: G06N3/098

Abstract: Disclosed herein are a federated learning method and apparatus. The federated learning method includes receiving a feature vector extracted from a client side and label data corresponding to the feature vector, outputting a feature vector with phase information preserved therein by applying the feature vector as input of a Self-Organizing Feature Map (SOFM), and training a neural network model by applying both the feature vector with the phase information preserved therein and the label data as input of a neural network model.

公开(公告)号：US20140330905A1

公开(公告)日：2014-11-06

申请号：US14138384

申请日：2013-12-23

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Ji-Young KWAK ,  Seon-Tae KIM

IPC: H04L29/08

CPC classification number: H04W84/18 ,  H04L45/026 ,  H04L45/124 ,  H04L65/1006 ,  H04L65/1013 ,  H04L67/02 ,  H04L67/10 ,  H04L67/1042 ,  H04L67/1044 ,  H04L67/1093 ,  H04L67/12 ,  H04W4/02 ,  H04W40/10 ,  H04W76/14

Abstract: 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.

Abstract translation: 这里公开了一种用于设置用于提供融合服务的智能设备的主动联网的方法。 在设置用于提供融合服务的智能设备的主动组网的方法中，多个智能对象中的每一个广播其位置信息。 从多个智能对象中选择与最大数量的智能对象相邻的智能对象作为智能区管理器。 所选择的智能区管理器将智能区信息广播到邻居智能对象，然后形成智能区。

公开(公告)号：US20140313967A1

公开(公告)日：2014-10-23

申请号：US14252204

申请日：2014-04-14

Applicant: ELECTRONICS AND TELECOMMUNICATIONS RESEARCH INSTITUTE

Inventor： Woo-Suk CHA ,  Seon-Tae KIM ,  Jun-Keun SONG ,  Mi-Sun YU ,  Ji-Young KWAK

IPC: H04W4/06

CPC classification number: H04W4/06

Abstract: A multicast routing apparatus in a wireless mesh network and a method thereof are disclosed. The multicast routing apparatus in the wireless mesh network includes: an information obtaining unit configured to obtain group identification (ID) information of neighboring mesh stations corresponding to the respective mesh stations; a selecting unit configured to select a multicast forwarding candidate corresponding to a candidate of the mesh stations capable of participating in forwarding multicast data packet using the group ID information; a tree generating unit configured to generate a tree corresponding to a transmission path of the multicast data packet; and a packet transmitting unit configured to transmit data packet from a transmitting mesh station to a receiving mesh station of the mesh stations using the tree.

Abstract translation: 公开了无线网状网络中的组播路由装置及其方法。 无线网状网络中的组播路由装置包括：信息获取单元，被配置为获取对应于各个网格站的相邻网格站的组标识（ID）信息; 选择单元，被配置为使用所述组ID信息来选择与能够参与转发多播数据分组的网格站的候选对应的组播转发候选; 树生成单元，被配置为生成与所述多播数据分组的传输路径对应的树; 以及分组发送单元，被配置为使用该树将来自发送网状站的数据分组发送到网状站的接收网状站。