Abstract: Embodiments of the present invention provide computer-implemented methods, computer program products and computer systems. For example, embodiments of the present invention can, in response to receiving information, predict availability of respective services deployed in a cloud environment. Embodiments of the present invention can then calculate an elastic index based on the predicted availability of the respective services.

Abstract: A computational heat dissipation structure includes a circuit board including a plurality of heating components; and a radiator provided corresponding to the circuit board; wherein a space between the adjacent heating components is negatively correlated with heat dissipation efficiency of a region where the adjacent heating components are located. Since the space between the adjacent heating components of the disclosure is negatively correlated with the heat dissipation efficiency of the region where the adjacent heating components are located, i.e., the higher the heat dissipation efficiency of the region where the adjacent heating components are located is, the smaller the space between the adjacent heating components in the region will be, the heat dissipation efficiencies corresponding to the heating components are balanced, and load of a fan is reduced.

Abstract: A method and apparatus for storing data are provided. The method comprises: obtaining a dataset to be stored and a storage model, wherein said dataset comprises a source storage parameter, and the storage model comprises a target storage parameter; in response to determining that the source storage parameter is consistent with the target storage parameter, obtaining a storage key value of said dataset; obtaining raw data that is written into said dataset for the first time and corresponds to the source storage parameter and change data that is in said dataset and corresponds to the source storage parameter; and storing the raw data and the change data in the storage model according to the storage key value.

Abstract: A method for improving alignment between a selective emitters and metal printing, including: providing silicon wafer including first edge and midline parallel to the first edge; texturing and diffusing surface of the silicon wafer; and illuminating the surface of the silicon wafer by laser spots to form the SE. Multiple laser spots are arranged between the first edge and the midline to form spot rows, extension directions of the spot rows are parallel to the first edge, M spot rows are arranged and M is a positive integer and M>1. The M spot rows include N sub-spot regions, N is a positive integer and 1<N?M, the sub-spot regions include at least one spot row, and areas of the laser spots in each sub-spot region are equal. The areas of the laser spots in different sub-spot regions from the midline pointing to the first edge gradually increases.

Abstract: Systems, methods, devices, media, and computer readable instructions are described for local image tagging in a resource constrained environment. One embodiment involves processing image data using a deep convolutional neural network (DCNN) comprising at least a first subgraph and a second subgraph, the first subgraph comprising at least a first layer and a second layer, processing, the image data using at least the first layer of the first subgraph to generate first intermediate output data; processing, by the mobile device, the first intermediate output data using at least the second layer of the first subgraph to generate first subgraph output data, and in response to a determination that each layer reliant on the first intermediate data have completed processing, deleting the first intermediate data from the mobile device. Additional embodiments involve convolving entire pixel resolutions of the image data against kernels in different layers if the DCNN.

Abstract: Disclosed are methods for encoding information in a graphic image. The information may be encoded so as to have a visual appearance that adopts a particular style, so that the encoded information is visually pleasing in the environment in which it is displayed. An encoder and decoder are trained during an integrated training process, where the encoder is tuned to minimize a loss when its encoded images are decoded. Similarly, the decoder is also trained to minimize loss when decoding the encoded images. Both the encoder and decoder may utilize a convolutional neural network in some aspects to analyze data and/or images. Once data is encoded, a style from a sample image is transferred to the encoded data. When decoding, the decoder may largely ignore the style aspects of the encoded data and decode based on a content portion of the data.

Abstract: An integrated co-fired inductor and preparation method therefor, comprising: batch filling a magnetic powder in the mold cavity, embedding at least one wire into one layer of the magnetic powder, the two ends of the wire extending out of the mold cavity, sequentially performing compression molding and heat treatment to obtain a magnetic core, and bending and tinning the wire to obtain the co-fired inductor. The preparation method uses an integrated mold forming process to prepare the inductor to avoid an assembly process involving an excessive number of components; heat treatment is performed after the integral forming process, stress is fully released, material hysteresis loss is reduced, and the loss of the device under light load conditions is reduced; no extra gap exists between the wire and the magnetic core, air gaps are uniformly distributed within the magnetic core, and the vibration noise of eddy current loss is reduced.

Abstract: The disclosure provides a battery conveying system, a battery swapping station, and a battery swapping method. The battery conveying system includes a first conveying mechanism and a second conveying mechanism. When the first conveying system and the second conveying system are located at a docking position, a first support structure of the first conveying system is perpendicularly aligned with a channel structure of the second conveying system, such that when the first support structure of the first conveying system is being lifted or lowered relative to a mechanism body, the first support structure can run through the channel structure, such that a support surface of the first support structure is higher or lower than a support surface of the second support structure in a horizontal direction, so as to allow a battery to be transported between the first conveying system and the second conveying system.

Abstract: This document describes methods, devices, systems, and means for the provisioning of enrollee Wi-Fi devices to a Wi-Fi network. Many Wi-Fi devices have limited or no user interface capabilities, which presents challenges to connecting and, especially, securely connecting many of these devices to a Wi-Fi network. Techniques are described to enhance the Device Provisioning Protocol to solicit and provide feedback from an enrollee device to indicate band support of the enrollee device and provide the status of the enrollee device after attempting to join a provisioned Wi-Fi network.

Abstract: A computational heat dissipation structure includes a circuit board including a plurality of heating components; and a radiator provided corresponding to the circuit board; wherein a space between the adjacent heating components is negatively correlated with heat dissipation efficiency of a region where the adjacent heating components are located. Since the space between the adjacent heating components of the disclosure is negatively correlated with the heat dissipation efficiency of the region where the adjacent heating components are located, i.e., the higher the heat dissipation efficiency of the region where the adjacent heating components are located is, the smaller the space between the adjacent heating components in the region will be, the heat dissipation efficiencies corresponding to the heating components are balanced, and load of a fan is reduced.

Abstract: The disclosure provides an approach for dynamic centralized model compilation. Embodiments include receiving, from a client, a request for a machine learning model, wherein the request indicates either one or more attributes comprising one or more of a hardware characteristic, a target precision, or a compiler characteristic, or that one or more default behaviors should be used to compile the machine learning model. Embodiments include determining a compiler for the machine learning model based on the one or more attributes or the one or more default behaviors, wherein the compiler is stored in a registry. Embodiments include compiling the machine learning model using the compiler. Embodiments include providing the compiled machine learning model to the client in response to the request.

Abstract: Techniques for facilitating inter-cloud federated learning (FL) are provided. In one set of embodiments, these techniques comprise an FL lifecycle manager that enables users to centrally manage the lifecycles of FL components across different cloud platforms. The lifecycle management operations enabled by the FL lifecycle manager can include deploying/installing FL components on the cloud platforms, updating the components, and uninstalling the components. In a further set of embodiments, these techniques comprise an FL job manager that enables users to centrally manage the execution of FL training runs (i.e., FL jobs) on FL components that have been deployed via the FL lifecycle manager. For example, the FL job manager can enable users to define the parameters and configuration of an FL job, initiate the job, monitor the job's status, take actions on the running job, and collect the job's results.

Abstract: The present disclosure discloses a system and method for testing the spatial distribution uniformity of an alkali metal atom number density of an atom magnetometer. The system includes a detection laser, a laser beam expanding system, a polarizing element, a magnetic shielding system, an alkali metal atom gas chamber, a beam profile camera, a beam splitting prism, etc., which are sequentially arranged in a light advancing direction. In the method, based on an optical absorption principle, light intensity attenuations of linearly polarized light before and after passing through the alkali metal gas chamber are tested by using the beam profile camera with pixels in the level of um, a two-dimensional distribution matrix of an atom number density in space is calculated, and the distribution uniformity of the atom number density is analyzed by using a discrete coefficient.

Abstract: An integrated co-fired inductor and preparation method therefor, comprising: filling a mold cavity with a magnetic powder, embedding at least one wire in the magnetic powder, wherein the two ends extend out of the mold cavity, sequentially performing compression molding and heat treatment to obtain a magnetic core, and bending and tinning the wire extending out of the magnetic core to obtain the co-fired inductor. The preparation method uses an integrated mold forming process to prepare the inductor to avoid an assembly process involving an excessive number of components; heat treatment is performed after the integral forming process, stress is fully released, material hysteresis loss is reduced, and the loss of the device under light load conditions is reduced; no extra gap exists between the wire and the magnetic core, air gaps are uniformly distributed within the magnetic core, and the vibration noise of eddy current loss is reduced.

Abstract: Dense feature scale detection can be implemented using multiple convolutional neural networks trained on scale data to more accurately and efficiently match pixels between images. An input image can be used to generate multiple scaled images. The multiple scaled images are input into a feature net, which outputs feature data for the multiple scaled images. An attention net is used to generate an attention map from the input image. The attention map assigns emphasis as a soft distribution to different scales based on texture analysis. The feature data and the attention data can be combined through a multiplication process and then summed to generate dense features for comparison.

Abstract: Dense feature scale detection can be implemented using multiple convolutional neural networks trained on scale data to more accurately and efficiently match pixels between images. An input image can be used to generate multiple scaled images. The multiple scaled images are input into a feature net, which outputs feature data for the multiple scaled images. An attention net is used to generate an attention map from the input image. The attention map assigns emphasis as a soft distribution to different scales based on texture analysis. The feature data and the attention data can be combined through a multiplication process and then summed to generate dense features for comparison.

Abstract: An approach is provided in which the approach trains a first machine learning model using a set of features corresponding to a set of build blocks. The set of build blocks include at least one dependency build block and at least one artifact package build block. The approach predicts a set of risk values of the set of build blocks using the trained first machine learning model, and marks at least one of the build blocks as a bottleneck in response to comparing the set of risk values against a risk threshold.

Abstract: A method for soldering a solar cell, includes: placing a plurality of back contact cells on a soldering platform, where back surfaces of the back contact cells face away from the soldering platform, and electrodes corresponding to two adjacent back contact cells have opposite polarities in a connection direction of a plurality of to-be-connected ribbons; placing the plurality of to-be-connected ribbons on the electrodes of the plurality of back contact cells by using a first clamping portion, a second clamping portion, and a plurality of third clamping portions, where the first clamping portion, the second clamping portion, and the plurality of third clamping portions respectively correspond to head ends, tail ends, and middle portions of the plurality of ribbons; and heating the plurality of ribbons by using a heater to connect the plurality of ribbons to the plurality of back contact cells.

Abstract: A data processing method applied to a service terminal includes receiving an authorization request sent by a target client terminal. The authorization request includes target path information of the target client terminal. The method further includes searching for a target identifier matching the target path information in an authorization list including at least one authorization identifier. The authorization identifier is generated at least based on network path information of an authorized client terminal. The method further includes sending the target identifier to the target client terminal to cause the target client terminal to control a target application to run according to the target identifier.