Abstract: An interaction method and apparatus and an electronic device. The method comprises: displaying a first application interface, wherein the first application interface comprises an interface of a first application; and creating a second application account in the first application interface, wherein the second application account is used for logging in a second application. Therefore, a new interaction mode is provided.

Abstract: Disclosed is a self-propelled soft robot body, including a tube which is internally and axially provided with a tube cavity, and at least one propelling structure, comprising a first driving unit, a second driving unit and a third driving unit, which are evenly fixed on a peripheral wall of the tube cavity, relative to an axis thereof, and along the axis of the tube; and the first driving unit, the second driving unit and the third driving unit are respectively telescopic along the axis of the tube; at least two support structures, with each two adjacent support structures having at least one propelling structure arranged therebetween, the support structures are fixedly connected with the propelling structure and arranged on the peripheral wall of the tube cavity.

Abstract: A data fusion method and apparatus for a LiDAR system includes a source LiDAR and at least one secondary LiDAR for obtaining a first point cloud data set of the LiDAR system at a first time point and a second point cloud data set of the system at a second time point separately; determining candidate transformation matrix sets based on the first point cloud data set, where each candidate transformation matrix set includes candidate transformation matrices for transforming point cloud data of a corresponding secondary LiDAR into a coordinate system of the source LiDAR; selecting a target transformation matrix from candidate transformation matrices in each of the candidate transformation matrix sets based on the second point cloud data set; and fusing point cloud data of the source LiDAR and point cloud data of the at least one secondary LiDAR based on a target transformation matrix corresponding to each secondary LiDAR.

Abstract: The present disclosure provides a method and device for intelligent control of heating furnace combustion based on a big data cloud platform, which relates to the technical field of artificial intelligence control. The method includes: construction of big data cloud platform based on production and operation parameters of the heating furnace; identification of key factors in the production process of the heating furnace by using big data mining technology; independent deployment of traditional heating furnace combustion control systems based on the mechanism model; and integration of cloud platform big data expert knowledge base and the heating furnace combustion intelligent control system.

Abstract: The present application relates to a spectral restoring method, including: acquiring a light energy response signal matrix output by a photosensitive chip of a spectral imaging device and a standard spectrum; determining a primitive restoring function and a response signal vector of the primitive restoring function based on the light energy response signal matrix, the primitive restoring function restoring a spectral image value of a predetermined channel corresponding thereto using a predetermined pixel value of the photosensitive chip and pixel values in the vicinity thereof; acquiring a restoring tensor, the product of the restoring tensor and the response signal vector being equal to an output of the primitive restoring function based on the response signal vector; and obtaining a restored spectral image based on the product of the restoring tensor and the response signal vector.

Abstract: An apparatus may include a first clock generator configured to receive an input clock signal, and generate two or more first-level clock signals of a track-and-hold circuit, a phase interpolator configured to generate an interpolated clock signals, wherein the interpolated clock signal is based on the two or more first-level clock signals, and a second clock generator configured to generate two or more second-level clock signals based on the interpolated clock signal, wherein the phase of the two or more second-level clock signals relative to the phase of a respective first-level clock signal is determined, at least in part, by the phase of the interpolated clock signal.

Abstract: A network infrastructure modernization service described herein may allow a customer to migrate the underlying network infrastructure topology and configurations of the on-premises environment onto the cloud environment. By collecting the network infrastructure configurations and/or runtime metrics, generating a network model based on the configurations and/or runtime metrics, and applying modernization rules to the network model to generate a network infrastructure template, the network infrastructure modernization service described in the present application enables the customers to be migrate their on-premises applications as well as the underlying network infrastructure onto the cloud environment.

Abstract: Using an attributes model of a time series forecasting model, determine a set of features based on time series data, the set of features including periodic components. The time series data may be divided into a set of segments. For each segment of the set of segments, a weight may be assigned using an age of the segment, resulting in a set of weighted segments of time series data. Using a trend detection model of the time series forecasting model, trend data from the set of weighted segments of time series data may be determined. A time series forecast may be generated by combining the set of features and the trend data.

Abstract: Techniques are described for enabling a software modernization application to automatically generate and execute test cases as part of a containerization workflow used to modernize various types of legacy software applications. A software modernization application enables a user to identify a legacy application to convert into a containerized application. Once identified, the software modernization application automatically packages application artifacts and identified dependencies into container images and creates a deployment pipeline used to deploy the containerized application into testing and production environments of a service provider network, among other processes. The software modernization application also instruments the legacy application to generate log data reflecting requests and responses received and processed by the application during operation.

Abstract: The disclosure provides a laser surface treatment method and a laser surface treatment station. The laser surface treatment method is applied to a surface to be adhesively bonded of a casting of a vehicle body-in-white part, wherein the laser surface treatment method comprises the following steps: S1: providing the casting of the vehicle body-in-white part, the casting having been demolded and machined; and S2: performing laser surface treatment on the surface to be adhesively bonded of the casting, the surface to be adhesively bonded being used for a subsequent adhesive application process for connection of the casting, wherein the laser surface treatment is carried out by pulse laser, and the laser surface treatment employs the following parameters: an average laser power greater than 500 W; a laser frequency ranging from 5 kHz to 10 kHz; and laser single-point energy greater than 50 mJ.

Abstract: A quantum computing service provides a quantum algorithm development kit that enables a customer to define a quantum task, a quantum algorithm, or a quantum circuit using an intermediate representation. The quantum computing service is then configured to automatically translate the quantum task, quantum algorithm, or quantum circuit into a specific representation specific to a particular quantum computing technology selected by the customer to be used to execute the customer’s quantum task, quantum algorithm, or quantum circuit.

Abstract: A system described herein may generate one or more models based on relationship data associated with multiple objects. The models may include one or more thresholds (e.g., which may indicate potential collisions between objects). The system may compare relationship data, associated with a particular vehicle and a particular object, with the one or more thresholds associated with the one or more models, and determine whether the relationship data associated with the particular vehicle and the particular object is rare data with respect to the one or more models. When the relationship data associated with the particular vehicle and the particular object is not rare data, the system may refraining from causing the particular vehicle to perform a collision prevention measure, and when the relationship data associated with the particular vehicle and the particular object is rare data, the system may cause the particular vehicle to perform the collision prevention measure.

Abstract: A quantum computing service includes connections to multiple quantum hardware providers that are configured to execute quantum circuits using quantum computers based on different quantum technologies. The quantum computing service enables a customer to define a quantum algorithm/circuit in an intermediate representation and select from any of a plurality of supported quantum computing technologies to be used to execute the quantum algorithm/quantum circuit.

Abstract: This disclosure describes techniques implemented partly by a service provider network for containerizing applications. In an example, the techniques may include receiving annotated source code of an application to be containerized, analyzing one or more application component annotations included in the annotated source code to determine an application component that is to be included in a container associated with a containerized version of the application, and analyzing one or more method annotations included in the annotated source code to determine one or more methods of the application component to be included in an application programming interface (API) for the container. The container including the application component may then be built and the API for the container may be generated based at least in part on the one or more methods of the application component.

Abstract: A quantum computing service includes connections to multiple quantum hardware providers that are configured to execute quantum circuits using quantum computers based on multiple quantum technologies. The quantum computing service also includes at least two edge computing devices at the quantum hardware provider facilities. The edge computing devices are configured to be controlled by the quantum computing service to cause quantum jobs to be performed on the quantum computers at the quantum hardware provider facilities.

Abstract: An apparatus and method for providing a filtered air environment and streams of filtered air both in front of a wearer’s face at an angle to prevent contamination by pathogens and contaminants also supply filtered air to the nostrils and mouth, which also dilute any remaining particles. The device includes a blower element configured to direct a filtered airflow across a wearer’s face at an angle to push particles away and another stream of air to lead toward the nostrils and mouth to supply filtered air. The apparatus includes a fan or multiple fan elements to develop an airflow. A filter removes contaminants from the airflow and local environment of the wearer. Variations of a vent system have an intake conduit positioned close to the exhaust conduit, with or without an air deflector, to create a “microcirculation” that helps to capture the wearer’s exhaled particles and increases the filtration process.

Abstract: A processing device may analyze a set of time series data using a time series forecasting model comprising an attributes model and a trend detection model. The attributes model may comprise a modified gradient boosting decision tree (GBDT) based algorithm. Analyzing the set of time series data comprises determining a set of features of the set of time series data, the set of features including periodic components as well as arbitrary components. A trend of the set of time series data may be determined using the trend detection model and the set of features and the trend may be combined to generate a time series forecast.

Abstract: A system described herein may provide a technique for generating one or more predictive models of device availability, which may be used to predict whether a given device will be able to be reached via one or more networks to receive information, such as Over-the-Air (“OTA”) updates. The predictive models may be based on, for example, radio frequency (“RF”) metrics, device availability metrics, and timing offsets between times associated with such RF metrics and availability metrics. For a given device, based on RF metrics associated with the device and further based on a candidate time, the predictive model may be used to determine whether the device will be available at the candidate time.

Abstract: A quantum computing service provides a quantum algorithm development kit that enables a customer to define a quantum task, a quantum algorithm, or a quantum circuit using an intermediate representation. The quantum computing service is then configured to automatically translate the quantum task, quantum algorithm, or quantum circuit into a specific representation specific to a particular quantum computing technology selected by the customer to be used to execute the customer's quantum task, quantum algorithm, or quantum circuit.

Abstract: Systems, methods, and non-transitory computer-readable storage media for a fast power network simulator. A system configured per this disclosure can use identify a power network, the power network comprising generators, transmission lines, and loads, and receive a model of the power network. The model of the power network can include: models of the generators modeled as differential equations, and models of the transmission lines and the loads modeled as algebraic equations. The system can convert, via a processor, the algebraic equations of the models of the transmission lines and the loads to additional differential equations, then combine, via the processor, the differential equations and the additional differential equations, to yield combined differential equations. The system can then iteratively solve linear equations, via the processor, associated with the combined differential equations, to yield solutions, and output the solutions as part of a power simulation of the power network.