Abstract: The present disclosure address systems and methods for improving the performance of Interest of Things (IoT) devices in receiving Beacon signals. The method includes receiving a first signal from an access point (AP) of a network environment, extracting a time synchronization value of the AP from the first signal, obtaining a local time synchronization value corresponding to the time synchronization value of the AP, and determining whether a preset condition is satisfied. The preset condition may indicate that the receiving of the first signal is to be interrupted. The method further includes in response to a determination that the preset condition is satisfied, obtaining a time synchronization offset value, adjusting the local time synchronization value based on the time synchronization offset value and the time synchronization value of the AP, and preparing to receive a second signal according to the adjusted local time synchronization value.

Abstract: A processor-implemented method with image generation includes obtaining a first image, determining predicted texture information of a target image corresponding to the first image through a texture prediction model, based on the first image, determining predicted color information of the target image through a color prediction model, based on the first image, and generating the target image based on the first image, using the predicted texture information and the predicted color information, wherein a format of the target image is different from that of the first image.

Abstract: Some embodiments of the disclosure describe an evaluation system based on analyte data including a memory storing a program, a display, and a processor. In some examples, the processor is configured to: receive analyte data during a predetermined time period from an object to be tested, acquire a plurality of analyte indicators different from each other based on the analyte data, normalize the plurality of analyte indicators to a predetermined range to acquire a plurality of normalized analyte indicators, plot a polygon pattern corresponding to the analyte data during the first time period as a target polygon pattern, plot a polygon pattern corresponding to the analyte data during the second time period as a reference polygon pattern, and take a line segment between a vertex and a center point as an axis, and display the target polygon pattern and the reference polygon pattern.

Abstract: Provided is a method for training an image cropping model, a method for processing an image, an electronic device and a storage medium, relating to the field of deep learning and image processing technology. The training method includes: obtaining sample data, wherein the sample data at least includes: a sample image, a first cropped image obtained by cropping the sample image in a first manner, and a second cropped image obtained by cropping the sample image in a second manner; determining a target loss function; and using at least the sample data and the target loss function to perform model training on a preset image cropping model to obtain a target image cropping model.

Abstract: Some embodiments of the disclosure describe an evaluation system based on analyte data including a memory storing a program, a display, and a processor. In some examples, the processor is configured to: receive analyte data during a predetermined time period from an object to be tested, acquire a plurality of analyte indicators different from each other based on the analyte data, normalize the plurality of analyte indicators to a predetermined range to acquire a plurality of normalized analyte indicators, plot a polygon pattern corresponding to the analyte data during the first time period as a target polygon pattern, plot a polygon pattern corresponding to the analyte data during the second time period as a reference polygon pattern, and take a line segment between a vertex and a center point as an axis, and display the target polygon pattern and the reference polygon pattern.

Abstract: A large model-based recommendation method includes: determining description information of interested content corresponding to a target user; inputting a content to be recommended, the description information of interested content and current popular search sentences into a large model to generate at least one recommendation card corresponding to the content to be recommended, in which the recommendation card contains a recommendation word associated with the content to be recommended; obtaining a current behavior characteristic of the target user; and in response to the current behavior characteristic satisfying a display condition of the recommendation card, displaying the recommendation card corresponding to at least one content to be recommended.

Abstract: The present application provides a positive electrode active material comprising a matrix material and a coating layer on the surface of the matrix material, wherein the matrix material has a chemical formula of LiNixCoyMnzMaM?bO2, wherein M=at least one of Zr, Y, Al, Ti, W, Sr, Ta, Sb, Nb, Na, K, Ca or Ce, M?=at least one of N, F, S or Cl, 0.80?x?1.0, 0?y?0.20, 0?z?0.02, 0?a?0.02, and b=1-x-y-z-a; and the coating layer is a boron-containing ternary alloy or a boron-containing ternary alloy oxide. The present application further provides a method for preparing the positive electrode active material, a positive electrode plate comprising the positive electrode active material, a secondary battery, a battery module, a battery pack and a power consuming device.

Abstract: The present technology pertains to a method to balance the performance of an application with the device health and the application runtime health statistics utilizing a hybrid approach. In the hybrid approach, the static performance control is a robust machine learning algorithm trained on data from many client devices and applications. The dynamic performance control is local to the client device and the application and reacts to the real-time device performance and application performance. Additionally, a user can provide their preferences for the performance and resource optimization of the application.

Abstract: The present disclosure provides a complex formed by metal lithium and a network skeleton material having a lithiophilic modification layer, a preparation method therefor and application thereof. The method of the present application can realize the industrial preparation of a complex of metal lithium and a network skeleton material having a highly lithiophilic modification layer, and the metal lithium and the carbon material in the complex as prepared are completely infiltrated with each other, such that there is no delamination or void in the complex. The conductive 3D carbon skeleton structure in the complex can provide a reserved space for metal lithium deposition, thereby alleviating the volume expansion of the metal lithium negative electrode. The conductivity of the carbon skeleton structure can reduce the current density on the electrode surface, thereby reducing the generation and growth of lithium dendrites.

Abstract: A method for obtaining a cover image includes: obtaining a plurality of first cropped images of an original image corresponding to a candidate resource; obtaining an aesthetic score of each of the plurality of first cropped images; and determining a target cover image of the candidate resource from the plurality of first cropped images based on the aesthetic score of each first cropped image.

Abstract: An economical optimization strategy construction method and system for lateral stability control of an electric vehicle, and a computer-readable storage medium are provided. The method includes: firstly constructing a lateral stability control system model with active allocation optimization to achieve the coordinational allocation between effective working areas of each part by means of a coordinational variable L; secondly, on the basis of the system model with active allocation optimization, designing a lateral stability controller under a model predictive control framework, where the designed objective function J makes the motion state of the vehicle track the expected value at steady state; and finally, considering the mapping relationship between the additional yaw moment and the coordinational variable L, constructing a three-dimensional surface, and analyzing the influence of the coordinational variable L, and determining the workflow of a regulator of the coordinational variable L.

Abstract: The invention provides a preparation method of a nickel-based wrought superalloy wheel disk forging used at high temperature, in which the alloy has high content of solution strengthening elements W, Mo and strengthening phase ?? phase forming elements Al, Ti, Nb and ?? phase content reaches 55-65%. In view of a series of technical problems caused by high ?? phase to alloy smelting and forging, the high-temperature stress relief annealing, low-temperature stress relief annealing process of steel ingot and high temperature homogenizing annealing of steel bar were proposed by optimizing the thermal process of wheel disk forging and controlling the precipitation and dissolution of ?? phase.

Abstract: A method and an apparatus for driving a display panel, and a display driver integrated circuit chip are provided. The method includes: determining an order in which display divisions on the display panel are to be driven, when determined not to update respective refresh rates of the display divisions; determining electric signal gear ranges for the display divisions based on the refresh rates of the display divisions, respectively; and driving the display divisions sequentially in the determined order and based on the determined gear ranges. With this method, the power consumption can be reduced while the display effect is improved.

Abstract: A compound represented by formula (I) or a pharmaceutically acceptable salt, a stereoisomer, a tautomer, a polymorph, a solvate, an N-oxide, an isotope labeled compound, a metabolite or a prodrug thereof, a pharmaceutical composition and a pill container comprising same, a preparation method therefor, and the use thereof in the preparation of drugs for preventing or treating STING-mediated related diseases.

Abstract: A target object detection method and apparatus are provided. The target object detection method and apparatus are applicable to fields such as artificial intelligence, object tracking, object detection, and image processing. An object is detected from a frame image of a video including a plurality of frame images based on a target template set including one or more target templates.

Abstract: Systems and techniques are provided for wireless communications performed at a network entity. For example, the systems and techniques can include obtaining, at the network entity, a target relative time difference (RTD). A transmission timing pre-compensation can be determined at the network entity between a first reference signal and a second reference signal, wherein the transmission timing pre-compensation is determined based on the target RTD and one or more network delay components. The first reference signal and the second reference signal can be transmitted using the transmission timing pre-compensation to offset the first reference signal from the second reference signal by the target RTD.

Abstract: A plurality of different images of a same region of interest in an object are input into a set of neural networks, wherein each image of the region has been captured under a different value of a variable condition. A classification for each image is generated by the set of neural networks, wherein each classification includes a confidence score in a prediction of whether a feature is present in the region. The image classifications are ensembled to generate a final classification for the region. By applying a loss function, a loss is computed based on comparing the final classification to a ground truth of whether the feature is present in the region. The parameters of the set of neural networks are adjusted based on the computed loss.

Abstract: Integrated automatic detection equipment includes a tractor, a first test vehicle and a second test vehicle. A central control system, a geometric linear detection system, a road three-dimensional (3D) detection system, and a laser 3D scanning system are arranged on the tractor. A front end of the first test vehicle is detachably connected to a rear end of the tractor, and a rear end of the first test vehicle is detachably connected to a front end of the second test vehicle. A drop hammer loading system is arranged on the first test vehicle. A bridge dynamic detection system is arranged on the second test vehicle. The geometric linear detection system, the road 3D detection system, and the drop hammer loading system are used for a road detection.

Abstract: A method and device for optimal power flow calculation in power systems based on generalized Nash equilibrium are disclosed.

Abstract: In an embodiment, a device includes: a magnetoresistive random access memory (MRAM) array including MRAM cells arranged in rows and columns, where a first column of the columns includes: first bottom electrodes arranged along the first column; first magnetic tunnel junction (MTJ) stacks over the first bottom electrodes; a first shared electrode over each of the first MTJ stacks; second bottom electrodes arranged along the first column; second MTJ stacks over the second bottom electrodes; a second shared electrode over each of the second MTJ stacks; and a bit line electrically connected to the first shared electrode and the second shared electrode.