公开(公告)号：US20240211296A1

公开(公告)日：2024-06-27

申请号：US18394242

申请日：2023-12-22

Applicant: Korea Electronics Technology Institute

Inventor： Jaekyu Lee ,  Sang Yub Lee ,  Inpyo Cho

IPC: G06F9/455 ,  G06F16/23 ,  G06F16/25

CPC classification number: G06F9/45558 ,  G06F16/2365 ,  G06F16/258 ,  G06F2009/45591

Abstract: Proposed is a container-based high availability big data framework system. The system may include an external server configured to provide structured data. The system may also include a data collection server constructed based on a docker container environment and configured to collect structured data by requesting the structured data from the external server at a predetermined time interval. The system may further include a monitoring server configured to execute a new docker image by generating a trigger when detecting the occurrence of an error while the structured data are collected.

公开(公告)号：US20240203161A1

公开(公告)日：2024-06-20

申请号：US18535420

申请日：2023-12-11

Applicant: Korea Electronics Technology Institute

Inventor： Ju Hong YOON ,  Min Gyu PARK ,  Yong Hoon KWON ,  Je Woo KIM

IPC: G06V40/16 ,  G06V10/774 ,  G06V10/776 ,  G06V10/778 ,  G06V40/40

CPC classification number: G06V40/174 ,  G06V10/774 ,  G06V10/776 ,  G06V10/7788 ,  G06V40/169 ,  G06V40/40 ,  G06V10/82

Abstract: There is provided an emotion prediction method based on virtual facial expression image augmentation. The emotion prediction method may acquire a user facial image, may extract a facial expression feature from the acquired user facial image, and may predict a user emotion from the extracted facial expression feature. The emotion prediction method may extract the facial expression feature by using a facial expression recognition network, the facial expression recognition network being an AI model that is trained to receive a user facial image and to extract a facial expression feature. The facial expression recognition network is retrained with virtual facial images which are augmented from a facial image that causes a failure in emotion recognition. Accordingly, by augmenting features of a facial expression image that causes a failure in prediction through error feedback, facial expression recognition performance can be enhanced.

公开(公告)号：US20240202034A1

公开(公告)日：2024-06-20

申请号：US18532370

申请日：2023-12-07

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Changseok YUN ,  Younghan KIM ,  Hyunseuk AHN

IPC: G06F9/50

CPC classification number: G06F9/5027

Abstract: A multi-layer distributed processing system for user service requests in a digital twin environment is proposed. A central server may include a central service manager that receives service requests from users and creates a first process for processing the service requests. A plurality of local servers may include a local service manager that receives the service request from the central service manager and creates a second process for processing the service request. A plurality of edge devices may include an edge service manager that receives the service request from the local server and creates a third process for processing the service request. The central service manager may distribute the service requests from the users to lower layers through propagation between the service managers.

公开(公告)号：US12014439B2

公开(公告)日：2024-06-18

申请号：US17768528

申请日：2019-10-15

Applicant: Korea Electronics Technology Institute

Inventor： Sung Hee Hong ,  Young Min Kim ,  Ji Soo Hong

IPC: G06T1/00 ,  H04N1/32

CPC classification number: G06T1/0021 ,  H04N1/3224 ,  G06T2201/0051

Abstract: Provided is a method for inserting a copyright information indication as a means for protecting the copyright of LF content which can be played back as multi-viewpoint images, wherein the copyright information indication is only inserted in images of a specific viewpoint. A method for generating multi-viewpoint images according to an embodiment of the present invention includes the steps of: generating multi-viewpoint images; inserting a specific information indication in images of a specific viewpoint among the generated multi-viewpoint images; and storing the multi-viewpoint images in which the specific information indication has been inserted. Accordingly, the copyright of LF content, which are expensive multi-viewpoint images, can be protected by inserting the copyright information indication only in the images of the specific viewpoint.

公开(公告)号：US20240193920A1

公开(公告)日：2024-06-13

申请号：US18536536

申请日：2023-12-12

Applicant: Korea Electronics Technology Institute

Inventor： Jae Woong YOO ,  Mi Ra LEE ,  Hye Dong JUNG

IPC: G06V10/77 ,  G06V10/44 ,  G06V10/764 ,  G06V10/80 ,  G06V40/20 ,  G10L15/02 ,  G10L15/08

CPC classification number: G06V10/7715 ,  G06V10/44 ,  G06V10/764 ,  G06V10/806 ,  G06V40/20 ,  G10L15/02 ,  G10L15/08

Abstract: There is provided a method for predicting a user personality by mapping multimodal information on a personality expression space. A personality prediction method according to an embodiment extracts a multimodal feature from an input image in which a user appears, maps the extracted multimodal feature on a personality expression space, and predicts a personality of the user based on a result of mapping. Accordingly, a personality of a user may be more exactly predicted through establishment of a correlation between user's various behavior characteristics and personalities.

公开(公告)号：US20240187830A1

公开(公告)日：2024-06-06

申请号：US17796493

申请日：2021-10-19

Applicant: Korea Electronics Technology Institute

Inventor： Seong Yun KIM ,  Il Yeup AHN ,  Seung Myeong JEONG ,  Nak Myoung SUNG

IPC: H04W4/70 ,  G16Y40/35

CPC classification number: H04W4/70 ,  G16Y40/35

Abstract: Provided is a resource label retrieval method in a one M2M system. A resource information retrieval method according to an embodiment of the present disclosure includes retrieving, by the M2M system, labels of resources when a label retrieval request regarding resources is received, determining, by the M2M system, whether to return an interworking information label on which information regarding data interworking with another system is recorded, among the retrieved labels of the resources, and returning a label of a resource retrieved according to a result of the determining. Accordingly, when retrieval of a resource label is requested, an interworking information label is selectively/restrictively returned based on a type of an AE which requests or a type of a retrieval request, so that a service error caused by provision of unnecessary information can be prevented and information security can be strengthened.

公开(公告)号：US20240187312A1

公开(公告)日：2024-06-06

申请号：US18443680

申请日：2024-02-16

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Seung Woo KUM ,  Jae Won MOON ,  Seung Taek OH

IPC: H04L41/16 ,  H04L67/61

CPC classification number: H04L41/16 ,  H04L67/61

Abstract: An adaptive batch processing and apparatus is proposed. The adaptive batch processing method may be performed by a system including a server which saves a model trained by machine learning and a client which transmits input data by connecting to the server while requesting an analysis result based on the model for the corresponding input data. The method may include measuring an amount of available resources of the server in the server, calculating a batch size using the amount of the available resources measured by the server, and transmitting information about the calculated batch size to the client. The method may further include generating batch data of a size reflecting the transmitted information by generating a queue of a plurality of input data at the client, transmitting the generated batch data to the server, and performing an analysis based on the model on the batch data received from the server.

公开(公告)号：US20240184787A1

公开(公告)日：2024-06-06

申请号：US18089674

申请日：2022-12-28

Applicant: Korea Electronics Technology Institute

Inventor： Chang Gue PARK ,  Kyoung Won MIN ,  Haeng Seon SON ,  Seon Young LEE ,  Young Bo SHIM ,  Gi Ho SUNG ,  Jin Man PARK ,  Yeong Kwon CHOE

IPC: G06F16/2457 ,  G07C5/08

CPC classification number: G06F16/24575 ,  G07C5/085

Abstract: There are provided a scenario similarity retrieval-based automatic scenario generation system and method. According to an embodiment, a scenario retrieval-based automatic scenario generation method includes: retrieving scenarios similar to a query scenario from a scenario DB for an autonomous driving test; filtering only scenarios that meet a selection condition from the retrieved scenarios; and converting components of the filtered scenarios to suit a target condition. Accordingly, a desired scenario may be automatically generated by retrieving a scenario similar to a targeted scenario, converting the retrieved scenario, and concretizing the scenario.

公开(公告)号：US20240180039A1

公开(公告)日：2024-05-30

申请号：US18521287

申请日：2023-11-28

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Intae SEO ,  Hyung Won KANG ,  Seung Ho HAN

IPC: H10N30/053 ,  C22C9/06 ,  H10N30/067 ,  H10N30/50 ,  H10N30/87

CPC classification number: H10N30/053 ,  C22C9/06 ,  H10N30/067 ,  H10N30/50 ,  H10N30/871 ,  H10N30/877

Abstract: Disclosed is a method of manufacturing a multilayer piezoelectric element including internal electrodes, including providing a piezoelectric sheet including ceramic, forming internal electrodes on the piezoelectric sheet to create a piezoelectric sheet with internal electrodes formed thereon, stacking a plurality of piezoelectric sheets with internal electrodes formed thereon to create a piezoelectric stack, sintering the piezoelectric stack to create a sintered piezoelectric stack, and heat-treating the sintered piezoelectric stack in a reducing atmosphere, in which the internal electrodes are formed in an area ratio of 90% or more relative to the area of the piezoelectric sheet, thereby facilitating reduction of the internal electrodes even by reduction heat treatment at a relatively low temperature.

公开(公告)号：US20240135397A1

公开(公告)日：2024-04-25

申请号：US18469381

申请日：2023-09-17

Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE

Inventor： Min Goo LEE ,  Yong Kuk PARK ,  Tae Heon NO

IPC: G06Q30/0203 ,  G06N20/20

CPC classification number: G06Q30/0203 ,  G06N20/20

Abstract: A system evaluates residential satisfaction of residents living in a building, based on preferred sections of the residents predicted using personal tendencies of the residents and sensing data collected through sensors in the building. The system may include a server that evaluates the residential satisfaction of the residents by analyzing a correlation between the sensing data and residential satisfaction information obtained from the survey conducted through a communication manner including the user terminals, and controls an air conditioning system in the building of a control target by predicting a feature-based preferred section of the users through random forest model learning.