Abstract: Embodiments of this disclosure discloses a map data processing method, apparatus, computer device and storage medium, the method including: outputting navigation route information associated with a navigation user in a navigation interface of a map client application, the navigation interface including map layer information, the navigation route information being superimposed and displayed on the map layer information, and map field information of the map layer information being first field information; obtaining location information of the navigation user on the navigation route information; and updating and displaying the map field information from the first field information to second field information in the navigation interface when the location information is monitored to be in an intersection area on the navigation route information. By the embodiments of this disclosure, the safety during navigation may be improved.

Abstract: The present application discloses a high-power diode laser system configured to generate scalable output power. The laser system comprises a plurality of diode lasers, a fiber beam combiner, and a controller. Each of the plurality of diode lasers is configured to generate an output laser beam. The fiber beam combiner is configured to output a combined laser beam by combining a plurality of output laser beams generated by the plurality of diode lasers. The controller is configured to tune each diode laser in the plurality of diode lasers to align a wavelength of each output laser beam in the plurality of output laser beams.

Abstract: In some aspects, techniques for creating representative and informative training datasets for the training of machine-learning models are provided. For example, a risk assessment system can receive a risk assessment query for a target entity. The risk assessment system can compute an output risk indicator for the target entity by applying a machine learning model to values of informative attributes associated with the target entity. The machine learning model may be trained using training samples selected from a representative and informative (RAI) dataset. The RAI dataset can be created by determining the informative attributes based on attributes used by a set of models and further extracting representative data records from an initial training dataset based on the determined informative attributes. The risk assessment system can transmit a responsive message including the output risk indicator for use in controlling access of the target entity to an interactive computing environment.

Abstract: In some aspects, techniques for creating representative and informative training datasets for the training of machine-learning models are provided. For example, a risk assessment system can receive a risk assessment query for a target entity. The risk assessment system can compute an output risk indicator for the target entity by applying a machine learning model to values of informative attributes associated with the target entity. The machine learning model may be trained using training samples selected from a representative and informative (RAI) dataset. The RAI dataset can be created by determining the informative attributes based on attributes used by a set of models and further extracting representative data records from an initial training dataset based on the determined informative attributes. The risk assessment system can transmit a responsive message including the output risk indicator for use in controlling access of the target entity to an interactive computing environment.

Abstract: Systems and methods for generating a load model having composite load components for electric power systems are disclosed which include acquiring state information at a bus of the electric power system, acquiring a training event record, and generating the load model by sequentially executing steps of determining a final load component composition for a predetermined composite load model structure referencing to both the state information and the training event record, and determining a plurality of final load parameters corresponding to the final load component composition and the predetermined load model structure also referencing to both the state information and the training event record.

Abstract: An actuator system includes an actuator, a first actuator controller that is operable to control operation of the actuator and is operable to determine a first value for a parameter that relates to operation of the actuator, a second actuator controller that is operable to control operation of the actuator and is operable to determine a second value for the parameter, and at least one additional component that is operable to determine a third value for the parameter. A fault is identified in response to determining that the first value does not agree with at least one of the second value or the third value. In response to identification of the fault, the first actuator controller changes from an activated state to a deactivated state and the second actuator controller changes from a deactivated state an activated state.

Abstract: Systems of an autonomous vehicle and the operations thereof are provided. Autonomous vehicles may rely on data inputs, processes, and output commands. Errors due to translation errors, failed or faulty equipment, connections, and other components may cause a dynamic vehicle path to approach a dynamic safe zone or vice versa. If so, a warning message may be sent and processed by the motion control system, when the vehicle is responding to commands correctly, or actuator control, when the vehicle is not responding to commands correctly. Should a safe zone be redrawn to exclude the vehicle's path, a failure message is sent to the appropriate system for mitigation.

Abstract: Embodiments of the present disclosure are directed to switching a driving mode of a vehicle. A mode change request from one of a plurality of sources to switch the vehicle from a first driving mode to a second driving mode is received. In response to receiving the mode change request, a status of the vehicle is accessed, and a confirmation request is transmitted to the one of the plurality of sources. Verification of the confirmation request is made, and a driving transition mode is initialized from the first driving mode to the second driving mode based on the status of the vehicle. In response to adhering to safety conditions or safety boundaries within a duration of time, a switching signal is sent to the control system of the vehicle to switch the vehicle from the first driving mode to the second driving mode.

Abstract: In some aspects, techniques for creating representative and informative training datasets for the training of machine-learning models are provided. For example, a risk assessment system can receive a risk assessment query for a target entity. The risk assessment system can compute an output risk indicator for the target entity by applying a machine learning model to values of informative attributes associated with the target entity. The machine learning model may be trained using training samples selected from a representative and informative (RAI) dataset. The RAI dataset can be created by determining the informative attributes based on attributes used by a set of models and further extracting representative data records from an initial training dataset based on the determined informative attributes. The risk assessment system can transmit a responsive message including the output risk indicator for use in controlling access of the target entity to an interactive computing environment.

Abstract: Embodiments of this disclosure discloses a map data processing method, apparatus, computer device and storage medium, the method including: outputting navigation route information associated with a navigation user in a navigation interface of a map client application, the navigation interface including map layer information, the navigation route information being superimposed and displayed on the map layer information, and map field information of the map layer information being first field information; obtaining location information of the navigation user on the navigation route information; and updating and displaying the map field information from the first field information to second field information in the navigation interface when the location information is monitored to be in an intersection area on the navigation route information. By the embodiments of this disclosure, the safety during navigation may be improved.

Abstract: A vehicle control unit (e.g., a control unit for an automobile) receives feedback from an intelligent voltage/current sensor and a DC/DC controller. The DC/DC controller comprises a first switch for controlling power from a primary power source (e.g., low voltage power supplied from a high voltage battery). The intelligent voltage/current sensor senses power output from the primary power source. The vehicle control unit processes feedback from the intelligent voltage/current sensor and/or the DC/DC controller to determine if a failure has occurred in the primary power source. In response to determining the failure in the primary power source, the vehicle control unit disables the power from the primary power source using a second switch (e.g., a switch in a relay).

Abstract: A data concentration system for an inner detector of an oil-gas pipeline, and a timing control method, the system includes: a multi-channel data receiving module, a data concentration module and a data transmission module. The multi-channel data receiving module is electrically connected to a plurality of probes of an inner detector and is configured to receive detection data acquired by the plurality of probes. The data concentration module is electrically connected to the multi-channel data receiving module, and is configured to receive the detection data outputted by the multi-channel data receiving module and compress the detection data. The data transmission module is electrically connected to a data storage module of the inner detector and the data concentration module respectively, and the data transmission module is configured to receive compressed detection data.

Abstract: A computer aided scanning method for a medical device is provided in the present invention, comprising step 1: recognizing and analyzing a pre-scan image through a pre-trained neural network to determine and identify a region of interest in the pre-scan image; and step 2: determining, according to feature information of the identified region of interest, scanning parameters for further scanning of the region of interest. A medical device employing the above method and a computer readable storage medium for performing the method are further provided in the present invention. The method, the medical device, and the readable storage medium provided by the present invention can automatically identify a region of interest, determine a corresponding auxiliary line and subsequent scanning parameters, and improve the scanning efficiency and accuracy of the medical device.

Abstract: Embodiments of the present disclosure are directed to switching a driving mode of a vehicle. A mode change request from one of a plurality of sources to switch the vehicle from a first driving mode to a second driving mode is received. In response to receiving the mode change request, a status of the vehicle is accessed, and a confirmation request is transmitted to the one of the plurality of sources. Verification of the confirmation request is made, and a driving transition mode is initialized from the first driving mode to the second driving mode based on the status of the vehicle. In response to adhering to safety conditions or safety boundaries within a duration of time, a switching signal is sent to the control system of the vehicle to switch the vehicle from the first driving mode to the second driving mode.

Abstract: A vehicle actuator system includes an actuator, a first actuator controller that is operable to control operation of the actuator and is operable to determine a first value for a parameter that relates to operation of the actuator, a second actuator controller that is operable to control operation of the actuator and is operable to determine a second value for the parameter, and at least one additional component that is operable to determine a third value for the parameter. A fault is identified in response to determining that the first value does not agree with at least one of the second value or the third value. In response to identification of the fault, the first actuator controller changes from an activated state to a deactivated state and the second actuator controller changes from a deactivated state an activated state.

Abstract: The present invention provides a medical image processing method and a computer-readable storage medium. The method includes: reconstructing a two-dimensional cross-sectional image of an imaged tissue based on a volumetric image of the imaged tissue; projecting a CT value of the imaged tissue along a normal direction of the centerline of the imaged tissue in the two-dimensional cross-sectional image; and, positioning the imaged tissue based on the projection result of the CT value of the imaged tissue.

Abstract: A vehicle control unit (e.g., a control unit for an automobile) receives feedback from an intelligent voltage/current sensor and a DC/DC controller. The DC/DC controller comprises a first switch for controlling power from a primary power source (e.g., low voltage power supplied from a high voltage battery). The intelligent voltage/current sensor senses power output from the primary power source. The vehicle control unit processes feedback from the intelligent voltage/current sensor and/or the DC/DC controller to determine if a failure has occurred in the primary power source. In response to determining the failure in the primary power source, the vehicle control unit disables the power from the primary power source using a second switch (e.g., a switch in a relay).

Abstract: Embodiments of the present disclosure are directed to using Automotive Safety Integrity Level (ASIL) decomposition and a functional deployment strategy to redundantly distribute functionality across existing controllers. Accordingly, each of a plurality of non-redundant controllers of the vehicle can execute a plurality of functions. The controllers can comprise a vehicle controller and a controller for each of a plurality of different powertrain systems. The plurality of functions can comprise one or more functions for each of the plurality of powertrain systems and each of the functions can execute on multiple controllers. When a failure of one controller occurs, this can be detected either by a controller's build-in internal monitor or by a two-way comparison or three-way voting by external controllers. The functions executing on the failed controller can be transitioned to other controllers based on prior execution of those functions by the other controllers.

Abstract: A dynamic magnetic field detection probe and an array control method. The dynamic magnetic field detection probe includes a dynamic magnetic field detection module, a master controller module, and a communication module. The master controller module is electrically connected to the dynamic magnetic field detection module. The communication module is connected to the master controller module by communication. The master controller module transmits acquired data to the communication module. The dynamic magnetic field detection probe is capable of detecting small-sized defects and has high precision.

Abstract: Embodiments of the present disclosure comprise fully redundant inverter safety switch off paths for inverter system fail safe/fail operational control of electrical drive systems in an electric vehicle. A safety switch according to embodiments described herein provides independent, redundant paths, for example, to high side and low side switches, to shut off electric motor output torque and ensure the safety state is achieved. An inverter safety switch as described herein can comprise a logic circuit including two AND gate and one two-way switch on each independent and redundant path. This design can be cost effective compared to current state of art designs using programable CPLDs or FPGAs and does not need to be programmed for each inverter. Additionally, such independent and redundant paths can eliminate the common cause or cascaded failures that can occur in prior safety switch designs.