NON-VOLATILE MEMORY DEVICE AND PROGRAMMING METHOD

    公开(公告)号:US20250157542A1

    公开(公告)日:2025-05-15

    申请号:US18810861

    申请日:2024-08-21

    Abstract: A method of programming a non-volatile memory device which includes a first cell string and a second cell string connected to a same bit line and sharing a first ground selection line, and a third cell string and a fourth cell string connected to the same bit line and sharing a second ground selection line, includes performing a ground separate initial precharge operation, in which a first voltage is applied to the first ground selection line and a second voltage is applied to the second ground selection line, based on the first cell string being selected as a selected cell string, performing a program voltage applying operation in which a program voltage is applied to a word line selected as a selected word line from among a plurality of word lines, and performing a verify operation in which a verify voltage is applied to the selected word line.

    PLASMA CONTROL DEVICE AND PLASMA PROCESSING SYSTEM

    公开(公告)号:US20230091161A1

    公开(公告)日:2023-03-23

    申请号:US17711181

    申请日:2022-04-01

    Abstract: A plasma control device includes a matching circuit, a resonance circuit, and a controller. The matching circuit is connected to a first electrode of a plasma chamber including the first electrode and a second electrode, and matches impedance of a radio frequency (RF) power by an RF driving signal with an impedance of the first electrode. The RF driving signal is based on a first RF signal having a first frequency. The resonance circuit is connected between the second electrode and a ground voltage, and controls plasma distribution within the plasma chamber by providing resonance with respect to harmonics associated with the first frequency and by adjusting a ground impedance between the second electrode and the ground voltage. The controller provides the resonance circuit with a capacitance control signal associated with the resonance and switch control signals associated with the ground impedance.

    ELECTRONIC DEVICE FOR TRAINING NEURAL NETWORK MODEL PERFORMING IMAGE ENHANCEMENT AND CONTROLLING METHOD THEREOF

    公开(公告)号:US20250148575A1

    公开(公告)日:2025-05-08

    申请号:US19018891

    申请日:2025-01-13

    Abstract: An electronic device includes memory storing instructions; and one or more processors configured to execute the instructions to obtain first loss values by inputting a first training image into neural network models; identify a smallest first loss value from among the first loss values; identify the first training image as being in a first training image group for a first neural network model corresponding to the smallest first loss value; obtain second loss values by inputting a second training image into the neural network models; identify a smallest second loss value from among the second loss values; identify the second training image as being in a second training image group for a second neural network model corresponding to the smallest second loss value; train the first neural network model based on the first training image group; and train the second neural network model based on the second training image group.

    WEARABLE DEVICE AND EXERCISE ASSISTANCE METHOD BY THE SAME

    公开(公告)号:US20250032853A1

    公开(公告)日:2025-01-30

    申请号:US18748221

    申请日:2024-06-20

    Abstract: A wearable device may include an actuator including a motor and/or circuitry, a sensor configured to generate motion data corresponding to a motion of a hand of a user, at least one processor configured to control the actuator, a cable connected to the actuator, and a body coupling component connected to the cable and connected or fixed to a body part of the user, wherein the processor is individually and/or collectively configured to estimate a position of the hand of the user based on the motion data corresponding to the motion of the hand of the user, determine a tension value to be applied to the cable at the position of the hand of the user based on the position of the hand of the user and a tension control model defined with respect to a surrounding space of the user, and control the actuator to generate tension at the determined tension value on the cable.

    METHOD OF DETERMINING ARM POSTURE OF USER AND ELECTRONIC DEVICE FOR PERFORMING THE METHOD

    公开(公告)号:US20240416176A1

    公开(公告)日:2024-12-19

    申请号:US18813673

    申请日:2024-08-23

    Abstract: A method of determining an arm posture of a user may include determining a distance from a first part of a body of the user to a second part of a lower arm of the user based on length information of a cable generated by a first sensor arranged on at least a part of the body of the user, determining a first rotation angle of the lower arm in a three-dimensional space based on rotation information generated by a second sensor attached to the second part, determining a second rotation angle of an upper arm in the three-dimensional space based on the distance from the first part to the second part and the first rotation angle of the lower arm, determining a position of the upper arm and a position of the lower arm in the three-dimensional space based on the first rotation angle of the lower arm and the second rotation angle of the upper arm; and determining the arm posture based on the position of the upper arm and the position of the lower arm.

    DISPLAY APPARATUS AND CONTROL METHOD THEREFOR

    公开(公告)号:US20240404004A1

    公开(公告)日:2024-12-05

    申请号:US18798199

    申请日:2024-08-08

    Abstract: A display apparatus, includes: a memory configured to store at least one instruction; and one or more processors configured to execute the at least one instruction to cause the display apparatus to: obtain weight value information for clusters classified according to picture quality by inputting an input image in a prediction neural network model; obtain an adaptive neural network model by respectively applying the weight value information to neural network models corresponding to the clusters; and obtain an output image with improved picture quality by inputting the input image in the adaptive neural network model, wherein the prediction neural network model is a model trained to output probability values for the clusters based on loss information for output images obtained by inputting learning images into the neural network models.

    OPTICAL PROXIMITY CORRECTION METHODS AND MASK MANUFACTURING METHODS INCLUDING THE OPTICAL PROXIMITY CORRECTION METHODS

    公开(公告)号:US20250028235A1

    公开(公告)日:2025-01-23

    申请号:US18643392

    申请日:2024-04-23

    Abstract: Provided are an optical proximity correction (OPC) method capable of maintaining full-chip bias consistency and a mask manufacturing method including the OPC method. The OPC method includes obtaining a first optical proximity corrected (OPCed) design layout by implementing a first OPC on an OPC target design layout; performing a reverse dissection on the OPC target design layout based on the first OPCed design layout to generate first segments; performing a reverse correction to allocate first biases of the first OPCed design layout to the first segments of the OPC target design layout; determining a full-chip representative bias based on a segment grouping of the first segments; applying the full-chip representative bias to an entire chip area; preparing mask data based on the full-chip representative bias that has been applied to the entire chip area; and exposing a mask substrate based on the mask data.

    IMAGE PROCESSING APPARATUS AND METHOD FOR PROCESSING IMAGE THEREBY

    公开(公告)号:US20230126778A1

    公开(公告)日:2023-04-27

    申请号:US17982188

    申请日:2022-11-07

    Abstract: Provided is an image processing apparatus including a memory storing at least one instruction; and a processor configured to execute the at least one instruction to: obtain, from a first image, a second image from which noise has been removed using a filtering algorithm; determine first weight data corresponding to the first image and second weight data corresponding to the second image, by applying the first image to a neural network for deriving a mixing ratio between the first image and the second image; and obtain an output image by mixing a first result obtained by applying the first weight data to the first image, with a second result obtained by applying the second weight data to the second image.

    ELECTRONIC DEVICE HAVING CAMERA MODULE CAPABLE OF SWITCHING LINE OF SIGHT AND METHOD FOR RECORDING VIDEO

    公开(公告)号:US20200374437A1

    公开(公告)日:2020-11-26

    申请号:US16875403

    申请日:2020-05-15

    Abstract: An electronic device including a camera module capable of changing a sightline and a method of recording video thereof are provided. The electronic device includes a display, a camera module capable of changing a sightline, a driving module configured to control changing of a sightline of the camera module, a processor connected to the display, the camera module, and the driving module, and a memory connected to the processor, and configured to store instructions. The instructions enable the processor to perform operations, the operations including obtaining a first image via the camera module, displaying a preview image of the obtained first image on the display, and recording the first image as video, pausing recording of the video, providing a sightline change effect image as a preview image, and controlling the driving module, adjusting the first set value to a second set value mapped to the second direction, obtaining a second image via the camera module, and providing the preview image, and recording the second image to be subsequent to the paused first image.

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