METHODS AND SYSTEMS FOR FACILITATING MULTIPLE COMMUNICATION TECHNOLOGIES USING A SINGLE CHIP RADIO

    公开(公告)号:US20240256265A1

    公开(公告)日:2024-08-01

    申请号:US18636567

    申请日:2024-04-16

    CPC classification number: G06F8/654

    Abstract: Methods and systems for dynamically updating firmware of a single-protocol based one-chip radio device present in an Internet of things (IoT) environment with multiple technologies using an intelligent firmware update based on size of the flash memory, the one or more hardware resources available at the controller level, and a current IoT context associated with the IoT environment are provided. The method includes receiving a firmware update package, determining a size of flash memory and one or more hardware resources at a controller level of the single-protocol, based on receiving the firmware update package, correlating the received firmware update package with the size of the flash memory, dynamically selecting one or more firmware resources from the received firmware package for updating firmware of the single-protocol based one-chip radio device based on the correlation, and updating firmware of the single-protocol based one-chip radio device using the one or more firmware resources.

    METHOD AND APPARATUS WITH ATTENTION-BASED OBJECT ANALYSIS

    公开(公告)号:US20240153130A1

    公开(公告)日:2024-05-09

    申请号:US18342892

    申请日:2023-06-28

    CPC classification number: G06T7/73 G06T7/50 G06V10/25 G06V10/764 G06V10/771

    Abstract: An apparatus includes one or more processors configured to generate a plurality of feature maps having respective different resolutions based on an input image; and update, for each of the plurality of transformer layers, respective position estimation information comprising first position information of a respective bounding box corresponding to one object query and second position information of respective key points corresponding to the one object query, wherein each of the plurality of transformer layers includes a self-attention model configured to generate respective intermediate data by performing self-attention on respective content information on a feature of the input image; and a cross-attention model configured to generate respective output data by performing cross-attention on respective one or more feature maps among the plurality of feature maps and the respective generated intermediate data.

    DEVICE AND METHOD WITH VEHICLE BLIND SPOT VISUALIZATION

    公开(公告)号:US20230406209A1

    公开(公告)日:2023-12-21

    申请号:US18097771

    申请日:2023-01-17

    Abstract: An electronic device includes: a processor configured to: based on two images captured at two different time points by a camera of a vehicle that is traveling and traveling information of the vehicle, determine a first transformation matrix of a camera coordinate system comprising a rotation matrix and a translation matrix for a movement of the vehicle between the two time points; transform the first transformation matrix into a second transformation matrix of a vehicle coordinate system; update a parameter of the camera to apply the movement of the vehicle to the parameter of the camera, based on either one or both of roll information and pitch information of the vehicle acquired from the rotation matrix; and visualize a blind spot of the camera based on the either one or both of the roll information and the pitch information, and based on the updated parameter and the second transformation matrix.

    METHOD AND APPARATUS WITH SELF-ATTENTION-BASED IMAGE RECOGNITION

    公开(公告)号:US20230154171A1

    公开(公告)日:2023-05-18

    申请号:US17720681

    申请日:2022-04-14

    CPC classification number: G06V10/82 G06N3/08 G06V10/40

    Abstract: A method with self-attention includes: obtaining a three-dimensional (3D) feature map; generating 3D query data and 3D key data by performing a convolution operation based on the 3D feature map; generating two-dimensional (2D) vertical data based on a vertical projection of the 3D query data and the 3D key data; generating 2D horizontal data based on a horizontal projection of the 3D query data and the 3D key data; determining an intermediate attention result through a multiplication based on the 2D vertical data and the 2D horizontal data; and determining a final attention result through a multiplication based on the intermediate attention result and the 3D feature map.

    METHOD AND APPARATUS WITH NEURAL NETWORK OPERATION

    公开(公告)号:US20220092394A1

    公开(公告)日:2022-03-24

    申请号:US17245144

    申请日:2021-04-30

    Abstract: Provided is a method and apparatus with neural network operation. The method includes generating a first intermediate operation result by performing a first-order partial operation of a neural network layer on a first input line of a first area of a frame, generating a second intermediate operation result by performing another first-order partial operation of the neural network layer on a second input line of the first area, and generating an objective operation result of the neural network layer with respect to the first area based on a second-order partial operation performed on the first intermediate operation result and the second intermediate operation result.

    METHOD FOR PRELOADING APPLICATION AND ELECTRONIC DEVICE SUPPORTING SAME

    公开(公告)号:US20210149689A1

    公开(公告)日:2021-05-20

    申请号:US16951914

    申请日:2020-11-18

    Abstract: An embodiment discloses an electronic device including: a first memory in which multiple applications are stored; a second memory; and at least one processor operatively connected to the first memory and the second memory. The processor(s) is configured to determine, based on a history of usage of the multiple applications for a first period of time, a priority of the multiple applications over multiple time intervals included in a second period of time. The processor(s) is further configured to preload a predetermined first number of applications into the second memory based on the priority if a designated condition being satisfied; and preload a first list of applications into the second memory if the designated condition is satisfied in a first time interval, and preload a second list of applications into the second memory if the designated condition is satisfied in a second time interval.

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