公开(公告)号：US20240099620A1

公开(公告)日：2024-03-28

申请号：US18244044

申请日：2023-09-08

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Tae-Sun Chung ,  Kamil Zeberga Kerbaga

IPC: A61B5/16 ,  G06F40/166 ,  G06F40/268 ,  G06F40/284

CPC classification number: A61B5/165 ,  G06F40/166 ,  G06F40/268 ,  G06F40/284

Abstract: The present invention relates to a method and apparatus for checking mental health using contents, and may include collecting text data, which is content uploaded to at least one service server providing a social network service, by an electronic apparatus, performing preprocessing by which the electronic apparatus removes obsolete text from the text data and converts the extracted meaningful text to lowercase letters, performing, by the electronic apparatus, labeling of preprocessed meaningful text, performing, by the electronic apparatus, word embedding for the labeled meaningful text, and checking the mental health status of a user who has uploaded the text data by applying the word embedding result to a deep learning algorithm by the electronic apparatus, and it is possible to apply to other exemplary embodiments.

公开(公告)号：US20240111965A1

公开(公告)日：2024-04-04

申请号：US18476598

申请日：2023-09-28

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Tae-Sun Chung ,  Zhen Zhang

IPC: G06F40/40

CPC classification number: G06F40/40

Abstract: The electronic device for improving the inference performance of a pre-trained language model according to an exemplary embodiment of the present invention includes a processor for sequentially passing input data through a plurality of transformer layers of the pre-trained language model and obtaining output data, wherein the processor calculates a probability distribution for prediction results received from each transformer layer in each of a plurality of middle layers connected to each rear end of the plurality of transformer layers, and measures a confidence level of the prediction results based on an entropy value calculated by using the probability distribution, and wherein when a confidence level less than a predefined value is measured in a predefined number of consecutive middle layers among the plurality of middle layers, the processor outputs a prediction result of the first middle layer as the output data by taking the last first middle layer among the consecutive middle layers as an exit.

公开(公告)号：US12301700B2

公开(公告)日：2025-05-13

申请号：US18061086

申请日：2022-12-02

Applicant: AJOU UNIVERSITY INDUSTRY-ACADEMIC COOPERATION FOUNDATION

Inventor： Tae-Sun Chung ,  Preethika Anand Rao Kasu

IPC: H04L9/06 ,  G06F16/14 ,  G06F16/178

Abstract: Provided is a method and system for preventing transfer errors of big data, including dividing entire data to be transmitted by a first device into a plurality of pieces of entity data and allocating a resource to first entity data among the plurality of pieces of entity data, applying, by the first device, the first entity data to a filter to query for the first entity data, transmitting, by the first device, the first entity data to a second device based on a result of the query for the first entity data, and upon receiving a sync request for the first entity data from the second device, releasing, by the first device, the resource allocated to the first entity data.