Abstract: A target tracking method is provided for a computer device. The method includes determining a target candidate region of a current image frame; capturing a target candidate image matching the target candidate region from the current image frame; determining a target region of the current image frame according to an image feature of the target candidate image; determining motion prediction data of a next image frame relative to the current image frame by using a motion prediction model and according to the image feature of the target candidate image; and determining a target candidate region of the next image frame according to the target region and the motion prediction data.

Abstract: A drive system for an industrial handling vehicle comprises an electric motor, a first pump, for example, a plunger pump, and a second pump, for example, a gear pump. The first pump is configured to provide hydraulic power for a travelling device of the industrial handling vehicle. The first pump and the travelling device are in a first hydraulic circuit. The second pump is configured to provide hydraulic power for a brake device and/or a steering device and/or a handling device of the industrial handling vehicle. The second pump, the brake device, the steering device, and the handling device are in a second hydraulic circuit isolated from the first hydraulic circuit. The electric motor is operatively coupled to both the first pump and the second pump, to drive them to operate.

Abstract: An electronic device may be provided with an antenna having a resonating element and a light source module mounted to a flexible printed circuit and a metal cowling. The module may emit light through a rear housing wall. The printed circuit may be interposed between the metal cowling and a conductive support plate in the rear housing wall. The printed circuit may include a ground trace coupled to the resonating element. A dimpled pad may couple the ground trace to the support plate. Compressive foam may be used to exert a force against the flexible printed circuit that presses the dimpled pad against the conductive support plate. The ground trace and the dimpled pad may form a return path to ground for the resonating element. The dimpled pad may occupy less height within the device than other structures such as metal springs.

Abstract: An electronic device may be provided with peripheral conductive housing structures, a first antenna, and a second antenna. A gap may divide the housing structures into a first segment forming an arm of the first antenna and a second segment forming an arm of the second antenna. A first feed terminal may be coupled to the first segment and a second feed terminal may be coupled to the second segment. Switchable components may be coupled in parallel between the first and second feed terminals across the gap. The switchable components may be adjusted to tune the frequency response of the first and/or second antenna. The switchable components may have a first state in which only the first feed terminal feeds the first antenna and may have a second state in which both the first and second feed terminals feed the first antenna.

Abstract: A screen mirroring display method includes a destination device receiving a first message from a first source device and a second message from a second source device, where the first message includes a first drawing instruction. The first drawing instruction instructs the destination device to draw a first target control in a first interface displayed by the first source device. The second message includes a second drawing instruction. The second drawing instruction instructs the destination device to draw a second target control in a second interface displayed by the second source device. Then the destination device draws a screen mirroring interface according to the first drawing instruction and the second drawing instruction, where the screen mirroring interface includes the first target control and the second target control.

Abstract: An object drag method includes a first terminal that displays an object on a display of the first terminal. The first terminal receives a drag operation from a user. The drag operation initiates a drag for the object. The first terminal displays, on the display of the first terminal in response to the drag operation, an animation in which the object moves with the drag operation. The first terminal sends drag data to a second terminal after determining that a drag intent of the user is a cross-device drag. The drag data enables the second terminal to display the object on a display of the second terminal.

Abstract: A screen mirroring display method implemented by a first electronic device, where the method includes displaying a first display interface, receiving a screen mirroring instruction for projecting the first display interface onto a second electronic device, determining a first target control in the first display interface in response to the screen mirroring instruction, and sending a first message to the second electronic device, where the first message includes a drawing instruction of the first target control to prompt the second electronic device to draw a first screen mirroring interface according to the drawing instruction, where the first screen mirroring interface includes the first target control.

Abstract: Machine-learning-based, adaptive updating of quantitative data in a database system is provided, which includes training one or more machine learning models to facilitate adaptively updating quantitative data in the database system, and ascertaining an update urgency index for updating the quantitative data for one or more data structures of the database system. The update urgency index is representative of an urgency for updating the quantitative data for the data structure(s) and is based, at least in part, on real-time query metrics. The machine learning model(s) is used to adaptively update the quantitative data, where the adaptively updating is based, at least in part, on the ascertained update urgency index. Processing of a database query is optimized in the database system using the adaptively updated quantitative data.

Abstract: Systems and methods may generate code, for a model, with one or more service access points generated and at locations in the code based on an analysis of model constraints and deployment specifications (e.g., RTE specifications or OS specifications). The systems and methods may analyze the model and identify a functionality that needs an RTE service. The system and methods may receive deployment specifications. The systems and methods may generate code for the model, where an analysis of model constraints and the deployment specifications determine which service access points are generated and where in the code the service access points are located. In an embodiment, the code may be executed by different RTEs. In an embodiment, the systems and methods may determine, based on the analysis of the model constraints and the deployment specification, one or more admissible implementations for an RTE service that may be implemented in different ways.

Abstract: The present disclosure provides a transmission line defect identification method based on a saliency map and a semantic-embedded feature pyramid, including the following steps: step 1: cleaning and classifying a dataset; step 2: generating a super-resolution image for a small target of a transmission line by using an Electric Line-Enhanced Super-Resolution Generative Adversarial Network (EL-ESRGAN) model; step 3: performing image saliency detection on the dataset by constructing a U2-Net; step 4: performing data augmentation on the dataset by using GridMask and random cutout algorithms based on a saliency map, and generating a classified dataset; and step 5: performing image classification on a normal set and a defect set by using a ResNet34 classification algorithm and a deep semantic embedding (DSE)-based feature pyramid classification network.

Abstract: This application provides a cross-device object drag method and a device, and relates to the field of electronic devices. This improves usage efficiency of collaborative use of a plurality of terminals, makes drag more direct and explicit, and improves user experience in drag. A specific solution is as follows: A first terminal displays an object on a display of the first terminal. The first terminal receives a drag operation input by a user. The drag operation is used to initiate drag for the object. The first terminal displays, on the display of the first terminal in response to the drag operation, an animation in which the object moves with the drag operation. The first terminal sends drag data to a second terminal after determining that a drag intent of the user is cross-device drag. The drag data is used by the second terminal to display the object on a display of the second terminal.

Abstract: A coupling box of a rail vehicle, including a fixed portion fixedly mounted on a vehicle body and a movable portion connecting to a coupler and draft gear; the movable portion is connected to an inner end of the fixed portion by means of a constant-force connecting member, the constant-force connecting member is broken when the coupler and draft gear pushes the movable portion to move inwardly at the time of a collision, so that the movable portion and the fixed portion are able to be separated from each other.

Abstract: Machine-learning-based, adaptive updating of quantitative data in a database system is provided, which includes training one or more machine learning models to facilitate adaptively updating quantitative data in the database system, and ascertaining an update urgency index for updating the quantitative data for one or more data structures of the database system. The update urgency index is representative of an urgency for updating the quantitative data for the data structure(s) and is based, at least in part, on real-time query metrics. The machine learning model(s) is used to adaptively update the quantitative data, where the adaptively updating is based, at least in part, on the ascertained update urgency index. Processing of a database query is optimized in the database system using the adaptively updated quantitative data.

Abstract: Systems and methods may generate code, for a model, with one or more service access points generated and at locations in the code based on an analysis of model constraints and deployment specifications (e.g., RTE specifications or OS specifications). The systems and methods may analyze the model and identify a functionality that needs an RTE service. The system and methods may receive deployment specifications. The systems and methods may generate code for the model, where an analysis of model constraints and the deployment specifications determine which service access points are generated and where in the code the service access points are located. In an embodiment, the code may be executed by different RTEs. In an embodiment, the systems and methods may determine, based on the analysis of the model constraints and the deployment specification, one or more admissible implementations for an RTE service that may be implemented in different ways.

Abstract: Example embodiments of the present disclosure relate to systems and methods for pretraining image-processing models on weakly-supervised image-text pairs. The pretraining can include receiving a training sequence for the machine-learned image-processing model. The training sequence can include text tokens and image tokens. A prefix sequence can contain the image tokens. A remainder sequence can include a remainder set of the text tokens. The pretraining can include determining, using the prefix sequence as an input to the machine-learned image-processing model, an objective based on recovery of the remainder sequence. The pretraining can include updating one or more learnable parameters of the machine-learned image-processing model based on the objective.

Abstract: A topology of bi-directional multi-output multi-function converter is designed in a BBU. The concept of bi-directional multi-function multi-output converter may be designed for the application of BBUs in a data center to provide multiple control functionalizes, such as battery discharging, battery charging, fan speed control, pump control, as well as providing power for multiple components/devices simultaneously. The proposed converter has two characteristics: bi-direction and multi-output. With the function of bi-direction, the battery discharging and charging can be accomplished with the same converter. With the function of multi-output, different rails of output voltages or power can be applied to different components or devices in BBU, such as fan, pump, control IC chip, sensors and etc.

Abstract: Machine-learning-based, adaptive updating of quantitative data in a database system is provided, which includes training one or more machine learning models to facilitate adaptively updating quantitative data in the database system, and ascertaining an update urgency index for updating the quantitative data for one or more data structures of the database system. The update urgency index is representative of an urgency for updating the quantitative data for the data structure(s) and is based, at least in part, on real-time query metrics. The machine learning model(s) is used to adaptively update the quantitative data, where the adaptively updating is based, at least in part, on the ascertained update urgency index. Processing of a database query is optimized in the database system using the adaptively updated quantitative data.

Abstract: The present application relates to a dispersing resin, a universal color paste used for impregnating coating, and a preparation method therefor. The dispersing resin is prepared from a raw material including: diol, polyol, aromatic dicarboxylic acid, anhydride, maleic anhydride, polymerization inhibitor, reactive diluent, and azeotropic solvent.

Abstract: Example aspects of the present disclosure provide a novel, resource-efficient approach for federated machine learning techniques with PTNs. The system can determine a first set of training parameters from a plurality of parameters of the global model. Additionally, the system can generate a random seed, using a random number generator, based on a set of frozen parameters. Moreover, the system can transmit, respectively to a plurality of client computing devices, a first set of training parameters and the random seed. Furthermore, the system can receive, respectively from the plurality of client computing devices, updates to one or more parameters in the first set of training parameters. Subsequently, the system can aggregate the updates to one or more parameters that are respectively received from the plurality of client computing devices. The system can modify one or more global parameters of the global model based on the aggregation.

Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating labeled training data using a pre-trained language model neural network. In particular, the language model neural network can generate the text input in a new labeled training example from an input sequence that includes (i) one or more context inputs and (ii) a text label that identifies the ground truth category for the new labeled training example.