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公开(公告)号：US20240273256A1
公开(公告)日：2024-08-15
申请号：US18440137
申请日：2024-02-13
Applicant: Korea Electronics Technology Institute
Inventor： Jaekyu Lee , Sang Yub Lee , Inpyo Cho
Abstract: Proposed is a digital twin system for digitizing technologies related to development of perovskite solar cells, performing design, test, simulation, and verification on materials, physical/chemical properties, and structures in a virtual environment, and designing and manufacturing an optimal perovskite solar cell. The digital twin system may provide a digital twin system for, when developing perovskite solar cells, identifying the efficiency of solar cells without directly conducting experiments, and through simulation of various environments using various learning/inference models, optimally designing perovskite-based solar cells. Also proposed is a digital twin system that is designed with a machine learning operations (MLOps) structure to have a configuration in which initially designed learning/inference models are updated to resemble the real environment as the learning/inference models undergo experiments, enabling testing in a more realistic virtual environment.
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公开(公告)号：US20240249647A1
公开(公告)日：2024-07-25
申请号：US18545280
申请日：2023-12-19
Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE
Inventor： Soon Hyung KWON
IPC: G09F3/00 , G02F1/167 , G02F1/16757
CPC classification number: G09F3/0294 , G02F1/167 , G02F1/16757 , G09F2003/028
Abstract: A film for wrapping including a heat shrinkable film shrinkable when the heat shrinkable film reaches a predetermined temperature, and a capsule layer formed at one surface of the heat shrinkable film while including a plurality of microcapsules is disclosed. Electrophoretic particles are included in the microcapsules. Accordingly, a color or text represented at the film for wrapping is variable.
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公开(公告)号：US20240219573A1
公开(公告)日：2024-07-04
申请号：US18398809
申请日：2023-12-28
Applicant: KOREA ELECTRONICS TECHNOLOGY INSTITUTE
Inventor： Yunju LEE , Kyungtaek LEE , Sukwoo JUNG
IPC: G01S17/894 , G01S7/4865 , G01S7/497 , G01S17/86
CPC classification number: G01S17/894 , G01S7/4866 , G01S7/497 , G01S17/86
Abstract: A 3D spatial scanning system and method can perform accurate 3D spatial scanning in various environments. The 3D spatial scanning system may include a sensor group, a confidence estimator, a function adjuster, and a fusion part. The sensor group may scan space using a time-of-flight (ToF) sensor and a stereo red-green-blue (RGB) sensor included therein. The confidence estimator may fuse a sensing value of the ToF sensor and a sensing value of the stereo RGB sensor and estimate a confidence of the sensing values. The function adjuster may adjust a function of at least one of the ToF sensor and the stereo RGB sensor based on the confidence estimated by the confidence estimator. The fusion part may fuse the sensing value of the ToF sensor and the sensing value of the stereo RGB sensor based on function adjustment of the function adjuster.
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124.发明公开公开(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
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.
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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.
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Patent Agency Ranking
126.发明公开公开(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.
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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
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.
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128.发明公开公开(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
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.
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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
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.
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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
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.
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