公开(公告)号：US20230206025A1

公开(公告)日：2023-06-29

申请号：US17993831

申请日：2022-11-23

申请人： Pusan National University Industry-University Cooperation Foundation

发明人： Giltae Song ,  Juseong Kim

IPC分类号： G06N3/04

CPC分类号： G06N3/04

摘要： A deep learning model based on attention using an embedding scheme for continuous variables of tabular data. A method of constructing the deep learning model based on attention includes converting tabular data of structured data having a mixture of categorical variables and continuous variables into embedding values and training a network model including a transformer block, a linear layer block, and a sharing function for the sharing of an attention between the transformer block and the linear layer block by using the embedding values.

公开(公告)号：US12112262B2

公开(公告)日：2024-10-08

申请号：US17092782

申请日：2020-11-09

申请人： Pusan National University Industry-University Cooperation Foundation

发明人： Giltae Song ,  Seonghyeon Kim

IPC分类号： G06N3/08 ,  G06F18/10 ,  G06F18/21 ,  G06F18/214 ,  G06N3/044 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/00 ,  G06V20/52

CPC分类号： G06N3/08 ,  G06F18/10 ,  G06F18/214 ,  G06F18/217 ,  G06N3/044 ,  G06V10/764 ,  G06V10/774 ,  G06V10/776 ,  G06V10/82 ,  G06V20/36 ,  G06V20/52

摘要： Disclosed are a method and apparatus for predicting a change in the occupants within a large exhibition hall in real time based on deep learning. A proposed method of predicting a change in the number of occupants within a space in real time includes dividing, into zones, a space where a number of occupants is to be predicted and pre-processing data related to a number of occupants within the space collected through simulations, generating the pre-processed data in a form of time-series data for deep learning, training a deep learning model for predicting a number of occupants in each divided zone using the generated time-series data, and predicting the number of occupants within the space by inputting, to the trained model, the data related to a number of occupants within the space collected in real time through socket communication with a server.

公开(公告)号：US20210174166A1

公开(公告)日：2021-06-10

申请号：US17092782

申请日：2020-11-09

申请人： Pusan National University Industry-University Cooperation Foundation

发明人： Giltae Song ,  Seonghyeon Kim

IPC分类号： G06N3/04 ,  G06K9/62 ,  G06N3/08 ,  G06K9/00

摘要： Disclosed are a method and apparatus for predicting a change in the occupants within a large exhibition hall in real time based on deep learning. A proposed method of predicting a change in the number of occupants within a space in real time includes dividing, into zones, a space where a number of occupants is to be predicted and pre-processing data related to a number of occupants within the space collected through simulations, generating the pre-processed data in a form of time-series data for deep learning, training a deep learning model for predicting a number of occupants in each divided zone using the generated time-series data, and predicting the number of occupants within the space by inputting, to the trained model, the data related to a number of occupants within the space collected in real time through socket communication with a server.