Abstract: An advice providing apparatus for a vehicle including: a first interface configured to communicate with one or more human-machine interface APPs of one or more human-machine interfaces (HMIs) of the vehicle; a second interface configured to receive data from in-vehicle devices including a database, a sensing unit and a communication unit; and a processing module configured to: calculate one or more predictions for a potential query from a user of the vehicle based on the received data; select a prediction from the calculated predictions that is associated with a nonrepresentational input received via at least one HMI of the one or more HMIs from the user; generate an operation advice based on the selected prediction; and output the generated operation advice to an HMI APP of the one or more HMI APPs.

Abstract: A gamma tuning method, apparatus, device, and storage medium and belongs to the field of display technology. The method includes: selecting a plurality of different target dimming values, and correspondingly setting, for each of the target dimming values, a same voltage gamma max power and a same voltage gamma small power; for each of the target dimming values, obtaining a gamma register value for 0 gray scale under the target dimming value according to the voltage gamma max power, the voltage gamma small power, a maximum gamma register value, and a target voltage for 0 gray scale under the target dimming value; and writing the gamma register value for 0 gray scale under the target dimming value into a gamma register of the display panel.

Abstract: The present disclosure relates to the field of vehicle technology and provides an energy recovery control method, a system, and a vehicle. The method is applied in a vehicle, and the vehicle comprises a drive motor and a battery electrically connected to the drive motor; a first energy recovery torque curve with respect to the drive motor is pre-configured in the vehicle, and the first energy recovery torque curve is used to indicate a correspondence relationship between vehicle speed and energy recovery torque of the drive motor. The present disclosure performs reduction on a first energy recovery torque curve by means of utilizing a reduction ratio, allowing energy recovery in accordance with a relatively low torque strength when a usable charge power of the battery is unable to satisfy a preset power requirement corresponding to the first energy recovery torque curve.

Abstract: A high-temperature disaster forecast method based on a directed graph neural network is provided, and the method includes the following steps: S1, performing standardization processing on meteorological elements respectively to scale the meteorological elements into a same value range; S2, taking the meteorological elements as nodes in the graph, and describing relationships among the nodes by an adjacency matrix of graph; then learning node information by a stepwise learning strategy and continuously updating a state of the adjacency matrix; S3, training the directed graph neural network model after determining a loss function, obtaining a model satisfying requirements by adjusting a learning rate, an optimizer and regularization parameters as a forecast model, and saving the forecast model; and S4, inputting historical multivariable time series into the forecast model, changing an output stride according to demands, and thereby obtaining high-temperature disaster forecast for a future period of time.

Abstract: The present disclosure provides a meteorological big data fusion method based on deep learning, including the following steps: constructing multi-source meteorological data samples; according to an original resolution of different climate variables, selecting a corresponding super-resolution multiple to obtain an optimized super-resolution module under the constraint of maximizing information retention efficiency; constructing a spatial-temporal attention module using a focused attention mechanism, and selecting a corresponding time stride according to periodic characteristics of different climate variables; constructing a meteorological data fusion model in combination with the optimized super-resolution model and the spatial-temporal attention module; taking a minimum resolution of climate variables as a loss function, and training the meteorological data fusion model with the multi-source meteorological data samples; and importing the acquired real-time meteorological data from multiple data sources into t

Abstract: A high-temperature disaster forecast method based on a directed graph neural network is provided, and the method includes the following steps: S1, performing standardization processing on meteorological elements respectively to scale the meteorological elements into a same value range; S2, taking the meteorological elements as nodes in the graph, and describing relationships among the nodes by an adjacency matrix of graph; then learning node information by a stepwise learning strategy and continuously updating a state of the adjacency matrix; S3, training the directed graph neural network model after determining a loss function, obtaining a model satisfying requirements by adjusting a learning rate, an optimizer and regularization parameters as a forecast model, and saving the forecast model; and S4, inputting historical multivariable time series into the forecast model, changing an output stride according to demands, and thereby obtaining high-temperature disaster forecast for a future period of time.

Abstract: The present disclosure provides a meteorological big data fusion method based on deep learning, including the following steps: constructing multi-source meteorological data samples; according to an original resolution of different climate variables, selecting a corresponding super-resolution multiple to obtain an optimized super-resolution module under the constraint of maximizing information retention efficiency; constructing a spatial-temporal attention module using a focused attention mechanism, and selecting a corresponding time stride according to periodic characteristics of different climate variables; constructing a meteorological data fusion model in combination with the optimized super-resolution model and the spatial-temporal attention module; taking a minimum resolution of climate variables as a loss function, and training the meteorological data fusion model with the multi-source meteorological data samples; and importing the acquired real-time meteorological data from multiple data sources into t

Abstract: An evaluation method for evaluating a precipitation-induced landslide disaster loss under climate change is provided. The evaluation method belongs to the technical field of geological disaster prevention and treatment. The evaluation method uses a physical process based model, in considering of spatial heterogeneity of land-surface features of grids in the area, to obtain precipitation thresholds corresponding to the respective grids in the area having the spatial heterogeneity. Historical data and climate model data are taken in combination to select suitable climate models, and the model then is used to simulate landslide prone zones and possible influence zones caused by landslides. An influence zones simulated by the evaluation method can better match disaster loss grid data, which can solve the problem that climate change scenarios and influence of landslide are difficult to be evaluated in landslide disaster evaluation.

Abstract: An evaluation method for evaluating a precipitation-induced landslide disaster loss under climate change is provided. The evaluation method belongs to the technical field of geological disaster prevention and treatment. The evaluation method uses a physical process based model, in considering of spatial heterogeneity of land-surface features of grids in the area, to obtain precipitation thresholds corresponding to the respective grids in the area having the spatial heterogeneity. Historical data and climate model data are taken in combination to select suitable climate models, and the model then is used to simulate landslide prone zones and possible influence zones caused by landslides. An influence zones simulated by the evaluation method can better match disaster loss grid data, which can solve the problem that climate change scenarios and influence of landslide are difficult to be evaluated in landslide disaster evaluation.

Abstract: A device may receive information identifying a set of tasks to be executed by a microservices application that includes a plurality of microservices. The device may determine an execution time of the set of tasks based on a set of parameters and a model. The set of parameters may include a first parameter that identifies a first number of instances of a first microservice of the plurality of microservices, and a second parameter that identifies a second number of instances of a second microservice of the plurality of microservices. The device may compare the execution time and a threshold. The threshold may be associated with a service level agreement. The device may selectively adjust the first number of instances or the second number of instances based on comparing the execution time and the threshold.

Abstract: The invention relates to a fault transient features optimization method and system of AC/DC system based on dissipated energy, which belongs to the HVDC transmission technology and is used to solve the problem that the DC pulsed current is too high and the generator power angle swing of the AC system on the rectifier side is too large during the process of the HVDC transmission system restart on fault.

Abstract: A system for configuring a data center includes a fabric management server coupled to a management switch. A provisional Software Defined Networking (SDN) controller executing on the fabric management server can discover physical servers coupled to the management switch, receive network interface configuration information from the physical servers, and use the discovered network interface configuration information to determine a configuration for switches and servers coupled to an IP fabric. The configuration can be migrated to a full functionality SDN controller.

Abstract: An example data center system includes server devices hosting data of a first tenant and a second tenant of the data center, network devices of an interconnected topology coupling the server devices including respective service virtual routing and forwarding (VRF) tables, and one or more service devices that communicatively couple the network devices, wherein the service devices include respective service VRF tables for the first set of server devices and the second set of server devices, and wherein the service devices apply services to network traffic flowing between the first set of server devices and the second set of server devices using the first service VRF table and the second service VRF table.

Abstract: A device may receive information identifying a set of tasks to be executed by a microservices application that includes a plurality of microservices. The device may determine an execution time of the set of tasks based on a set of parameters and a model. The set of parameters may include a first parameter that identifies a first number of instances of a first microservice of the plurality of microservices, and a second parameter that identifies a second number of instances of a second microservice of the plurality of microservices. The device may compare the execution time and a threshold. The threshold may be associated with a service level agreement. The device may selectively adjust the first number of instances or the second number of instances based on comparing the execution time and the threshold.

Abstract: Techniques are disclosed for promulgating service information and topology information in a network in a high availability manner. An example device is configured to create a first service and topology exchange protocol (STEP) document. The first STEP document includes service information and topology information. The example device is configured to send the first STEP document to a first STEP repository for forwarding to at least one subscribing network device. The example device is also configured to send the first STEP document to a second STEP repository for forwarding to the at least one subscribing network device.

Abstract: A laser radar and an intelligent vehicle are provided, and may be specifically applied to the field of intelligent vehicles. The laser radar may include: a laser, configured to generate a laser signal; a beam shaping module, configured to perform collimation on the laser signal (step 300); a beam splitting module, configured to perform beam splitting on a laser signal to obtain a sounding signal and a local-frequency signal (step 301); a receiving module, configured to receive echo information and transmit the echo signal to an optical frequency mixing module (step 302); the optical frequency mixing module, configured to perform optical frequency mixing on the local-frequency signal and the echo information to obtain a first beat frequency signal and a second beat frequency signal (step 303); and a differential receiving unit, configured to differentially receive the first beat frequency signal and the second beat frequency signal.

Abstract: A radar detection method includes intercepting a plurality of measurement units (MUs) from a beat frequency signal of a radar based on a time domain sliding step, where a time domain length of each of the plurality of MUs is greater than a time domain length of a preset sliding step; determining frequency information of each MU; and obtaining a radar point cloud detection result based on the frequency information of each MU, where the detection result includes at least one of a speed of a target object or a distance of the target object.

Abstract: A system for configuring a data center includes a fabric management server coupled to a management switch. A provisional Software Defined Networking (SDN) controller executing on the fabric management server can discover physical servers coupled to the management switch, receive network interface configuration information from the physical servers, and use the discovered network interface configuration information to determine a configuration for switches and servers coupled to an IP fabric. The configuration can be migrated to a full functionality SDN controller.

Abstract: A radar detection method includes transforming a beat frequency signal of a radar into a two-dimensional spectrogram; intercepting, based on a time domain sliding step, a plurality of measurement units (MUs) whose time domain lengths are equal to a frequency modulation period of the radar from the two-dimensional spectrogram, where a length of the time domain sliding step is less than the frequency modulation period of the radar; and determining a radar detection result based on each of the plurality of MUs.

Abstract: The present application provides a method and system for identifying extreme climate events. The method acquires climate index (CI) grid data of a to-be-identified region within an extreme climate time period, and gradually expands each of event centers in the to-be-identified region, until CI values of all grids adjacent to the event center are not greater than a CI threshold. The method can obtain extreme climate impacted areas of extreme climate events in the to-be-identified region, and can further obtain CI intensities of the extreme climate events by average calculation. The method can obtain three pieces of dimension information on each of the extreme climate events in the to-be-identified region, including an extreme climate impacted area, a CI intensity and a duration. Therefore, the method can identify the extreme climate events more comprehensively.