Abstract: A method and an apparatus for monitoring energy storage cell abnormality, an electronic device, and a medium are provided. The method includes: obtaining valid state data of a first cell in a battery module at a preset time; obtaining a discrete statistical state characteristic of the first cell based on the valid state data of the first cell; calculating distances between the discrete statistical state characteristic of the first cell and discrete statistical state characteristics of each remaining cells in the battery module separately, averaging the set of distances, to obtain a distance characteristic associated with the first cell; and determining whether the first cell is abnormal based on the distance characteristic of the first cell. Consistency monitoring of each cell in the battery module is implemented based on the state data of each cell, so that an early warning indicative of a possible fault can be issued.

Abstract: A system for MRI is provided. The system may obtain a plurality of sets of under-sampled k-space data corresponding to a plurality of frames. Each set of under-sampled k-space data may be acquired simultaneously from a plurality of slice locations of a subject in one of the frames using an MRI scanner. The system may reconstruct a plurality of reference slice images based on the sets of under-sampled k-space data of the plurality of frames. Each of the reference slice images may be representative of one of the slice locations in more than one frame of the frames. The system may further reconstruct a plurality of image series based on the sets of under-sampled k-space data and the reference slice images. Each image series may correspond to one of the slice locations and include a plurality of slice images of the corresponding slice location in the plurality of frames.

Abstract: A method, system, device, and medium for recharging a battery module are disclosed. The method comprises: identifying initial rechargeable batteries within the battery module; selecting from the initial rechargeable batteries, a reference rechargeable battery that satisfies preset charging and discharging conditions, and designating the remaining batteries of the initial rechargeable batteries as target rechargeable batteries; and determining a target capacity for each of the target rechargeable batteries based on the historical charging and discharging parameters of the reference rechargeable battery and each of the target rechargeable batteries; establishing a recharge termination condition for each of the target rechargeable batteries based on the target capacity; and recharging each of the target rechargeable batteries in accordance with its respective recharge termination condition. Considering the unique conditions of each battery, settings for recharge are individualized.

Abstract: A display panel and a display device are provided. The display panel includes a first substrate, a second substrate arranged opposite to the first substrate, an electrophoresis layer, a liquid-blocking portion and a supporting structure. The electrophoresis layer is arranged between the first substrate and the second substrate and includes multiple electrophoresis particles. The liquid-blocking portion is arranged at an edge of the first substrate and/or the second substrate. The supporting structure is arranged between the first substrate and the second substrate and includes a first supporting portion and a second supporting portion. A height of the first supporting portion is greater than that of the second supporting portion in a direction perpendicular to a plane where the first substrate is located. A minimum distance between the second supporting portion and the liquid-blocking portion is less than that between the first supporting portion and the liquid-blocking portion.

Abstract: There is provided a method and apparatus for identifying malicious code. The method uses machine learning to compare a new code segment to known code segments of malicious code. Code segments are converted to vectors and the cosine similarity of two vectors is used to identify clones. Techniques to train a neural network for handling very long code sequences and obfuscated malicious code are used.

Abstract: A reflective display with a color compensation layer includes a driving substrate, a display medium layer located on the driving substrate, a color filter array, an adhesive layer located on the display medium layer, and a color compensation layer. The driving substrate includes a first sub-pixel region, a second sub-pixel region, and a third sub-pixel region. The color filter array includes a red color resist, a green color resist, and a blue color resist. The color filter array and the color compensation layer are located at opposite two sides of the adhesive layer. The color compensation layer includes a first blue ink layer. A vertical projection of the green color resist on the driving substrate overlaps the second sub-pixel region. A vertical projection of the first blue ink layer on the driving substrate at least partially overlaps the second sub-pixel region.

Abstract: A display panel, a display device and a method for driving a display panel are provided. The display panel includes N types of display areas which includes an i-th type display area and a j-th type display area. The display panel includes M display parts which include a first display part and a second display part. The first display part includes at least one i-th type display area, and the second display part includes at least one i-th type display area. At least one j-th type display area is arranged between the i-th type display area included in the first display part and the i-th type display area included in the second display part. Light-emitting time periods of the i-th type display area and the j-th type display area at least partially do not overlap, to reduce the number of sub-pixels driven at the same time period.

Abstract: A method and a device for forecasting an electric load, an electronic device, and a computer-readable storage medium are provided. The method includes: acquiring historical load data prior to a forecast date; generating a load sequence based on the historical load data; performing variational mode decomposition on the load sequence, to obtain multiple intrinsic mode components and a residual that are corresponding to the load sequence; and inputting the multiple intrinsic mode components and the residual into respective forecasting models, and determining a load value on the forecast date based on forecasting results of all the forecasting models. With the method and the device, the electronic device, and the computer-readable storage medium, the load sequence is decomposed based on the variational mode decomposition, so that more dimensional feature information in the load sequence can be mined. Moreover, the residual is also used as valid data.

Abstract: A thermal-runaway warning method, system, and terminal for a power station are provided. The method comprises: obtaining collected data of a battery module comprised in the power station, wherein the collected data comprises collected temperature values of the battery module collected by temperature measuring devices; normalizing the collected data to obtain a standard dataset; training a CNNLSTM-based temperature predicting model based on the standard dataset to obtain a trained CNNLSTM-based temperature predicting model; and obtaining a predicted temperature value of the battery module within an output time window based on the trained CNNLSTM-based temperature predicting model, and determining whether there is a risk of thermal runaway in the power station based on the predicted temperature value.

Abstract: Techniques are described with respect to a system, method, and computer product for enhancement of socialization between one or more individuals wearing personal protective equipment. An associated method includes identifying a plurality of social communications between one or more individuals wearing personal protective equipment (PPE) and assigning an identifier to a participant associated with at least one of the social communications. The method further includes analyzing content of the at least one social communication and generating an augmented reality (AR) based representation of the content for presentation on an augmented reality device associated with the user, the augmented reality device presenting the content for visualization replacing PPE based at least in-part on the identifier.

Abstract: Devices and methods for analyzing a sample are disclosed. In various embodiments, the present disclosure provides devices and methods for preparing a serial dilution of a sample. In various embodiments, the present disclosure provides devices and methods for preparing a serial dilution of a sample and conducting sample analysis. In various embodiments, the present disclosure provides a cartridge device and a reader instrument device. The reader instrument device receives, operates, and/or actuates the cartridge device to prepare a serial dilution of a sample and conduct sample analysis.

Abstract: Methods for creating a knowledge graph for a video are disclosed. Aspects include obtaining the video, processing the video to extract audio information and video information, and storing the extracted audio information and video information with a timestamp corresponding its occurrence in the video. Aspects also include creating a plurality of groups of the extracted audio information and video information based at least in part on the timestamps and extracting two or more keywords from each of the plurality of groups. Aspects further include identifying a relationship between the two or more keywords based on the extracted audio information and video information and creating a graph having a plurality of nodes and a plurality of links that connect a pair of nodes of the plurality of nodes. Each node corresponds to an extracted keyword and each link corresponds to the identified relationship between the pair of nodes.

Abstract: An approach is provided in which the approach receives an image that includes multiple image points and constructs a plane in the image based on a first subset of the plurality of image points. The approach identifies a second subset of the image points that belong to the plane and are not part of the first subset of image points, and removes the first subset of image points and the second subset of image points form the image points. The approach annotates the remaining subset of image points in the image.

Abstract: Aspects of the subject disclosure may include, for example, detecting a plurality uplink data packets on a network, the plurality of uplink data packets conveying application protocol messages from an application on a mobile device to an application server providing a service to the application on the mobile device over the network; providing data packets of the plurality uplink data packets to a machine learning model, the machine learning model trained to identify respective application protocol messages from the data packets; receiving from the machine learning model an indication that a start video download application protocol message has been identified by the machine learning model, the start video download application protocol message requesting initiation of a video download to the application on the mobile device from the application server; detecting a plurality of downlink data packets on the network, the plurality of downlink data packets conveying video content data to the mobile device in respo

Abstract: A method for restoration of a kinetic event using video. The method includes obtaining video involving the kinetic event including a plurality of frames. An absolute location of a frame of the plurality of frames is determined. Movement of a feature point cloud corresponding to an object in motion in the plurality of frames is analyzed. A 3D object model with substantially similar dimensions to the object in motion is selected. The 3D object model is displayed emulating the analysed movement on the 3D map based on the absolute location.

Abstract: A method for detecting and labeling a target object in a 2D image includes receiving a plurality of 2D images from a visual sensor, manually marking points of the target object on each of the 2D images, generating from the 2D images a 3D world coordinate system of the environment surrounding the target object, mapping each of the marked points on the 2D images to the 3D world coordinate system using a simultaneous localization and mapping (SLAM) engine, automatically generating a 3D bounding box covering all the marked points mapped to the 3D world coordinate system, mapping the 3D bounding box to each of the 2D images, generating a label for the target object on each of the 2D images using a machine learning object detection model, and training the machine learning object detection model based on the generated label for the target object.

Abstract: Aspects of the subject disclosure may include, for example, obtaining input data, processing the input data to generate output data, the output data including an identification of one or more characteristics associated with tethered communications involving at least a first user equipment, and based on the identification of the one or more characteristics, causing an action to be taken. Other embodiments are disclosed.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations of receiving a plurality of data packets captured from a network, wherein the data packets are associated with streaming video content across the network, and wherein the video content is encrypted; processing the plurality of data packets to extract features from each of the data packets in the plurality of data packets; providing the features to a trained machine learning (ML) model comprising a plurality of layers; and outputting an identification of the video content determined by the ML model. Other embodiments are disclosed.

Abstract: A method for providing a service based on a user scenario, a terminal device, and a system. The terminal device perceives the user scenario with low power consumption, and a cloud-side service open platform determines a corresponding scenario package based on the user scenario, where the scenario package includes a plurality of pre-orchestrated services for the user scenario. The service open platform pushes data related to the determined scenario package to the terminal device, and the terminal device displays entry interfaces of the plurality of services, and provides a corresponding service based on an operation performed by a user on the entry interface.

Abstract: Aspects of the subject disclosure may include, for example, a device having a processing system including a processor; and a memory that stores executable instructions that, when executed by the processing system, facilitate performance of operations including receiving encrypted hypertext transport protocol (HTTPS) traffic including media content; separating the HTTPS traffic into audio segments and video segments; calculating a size for each audio segment in the HTTPS traffic; maintaining a sliding window of a plurality of sizes of consecutive audio segments to form a fingerprint; and identifying the media content by matching the fingerprint with a reference in a catalog. Other embodiments are disclosed.