Abstract: An example operation includes providing an alert related to an event based on a difference related to a speed and an angle of an element exiting in a first zone around a transport and entering a second zone within the first zone, if the difference is above a threshold.

Abstract: An example operation includes one or more of detecting a living element in a transport, determining a dangerous condition exists in response to an internal temperature of the transport is outside of a threshold and a negative characteristic is associated with the living element, and positioning the transport to a location to reduce the dangerous condition.

Abstract: An example operation includes one or more of collecting, by the transport, data from a device associated with an occupant containing an amount of movement of the device and an amount of time elapsed during the movement, and determining an injury level of the occupant based on the data after a collision.

Abstract: An example operation includes one or more of determining a characteristic of an occupant in a transport and a current driving environment of the transport, wherein the characteristic includes a position of the occupant, determining that the current driving environment will lead to a collision of the transport, and based on a predicted result of the collision, sending a predicted state of the occupant based on the position, to an emergency service node.

Abstract: System, methods, and other embodiments described herein relate to adapting vehicle access by detecting a person carrying an object. In one embodiment, a method includes detecting a person near a vehicle for gaining access. The method also includes scanning the person for an object using a radar of the vehicle, wherein information from the radar indicates densities of the person and the object. Upon detecting the object using the densities, the method also includes adapting the access to a compartment of the vehicle.

Abstract: A channel state information measurement method includes receiving, by a terminal device, configuration information from a network device. The configuration information includes first indication information and second indication information. The first indication information indicates K channel measurement signal resources, K is greater than or equal to 2, the second indication information indicates the terminal device is to measure aggregated channel state information (CSI) based on N channel measurement signal resources, and N is less than or equal to K. The method also includes measuring, by the terminal device, the N channel measurement signal resources based on the configuration information. The method further includes obtaining, by the terminal device, the aggregated CSI through calculation based on N measurement results. The aggregated CSI is CSI of M antenna ports, and M is a sum of quantities of antenna ports of the N channel measurement signal resources.

Abstract: A system for controlling operation of a vehicle includes a millimeter-wave radar sensor, a processor, and a memory communicably coupled to the processor. The memory stores a sensor control module configured to control operation of the radar sensor to acquire data for determining and updating a number of occupants in the vehicle. Upon receiving a control command whose execution will result in movement of the vehicle, a pre-movement radar scan of the vehicle interior is performed. using information acquired by the pre-movement scan, the sensor control module determines if an excessive occupant condition exists in the vehicle interior. Responsive to a determination that an excessive occupant condition exists, the sensor control module may control an operation of the vehicle other than executing the control command.

Abstract: System, methods, and other embodiments described herein relate to sensing ingress of water in a vehicle. In one embodiment, a method includes acquiring, from a radar of a vehicle, radar data about a passenger cabin of the vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates an ingress of water into the passenger cabin, generating a response to the ingress of the water.

Abstract: A system for controlling operation of a vehicle includes a millimeter-wave radar sensor, a processor, and a memory communicably coupled to the processor. The memory stores a sensor control module configured to automatically control operation of the radar sensor to perform at least one radar scan of at least a portion of an interior of the vehicle. The sensor control module is also configured to determine, using information acquired by the at least one radar scan of the vehicle interior, at least one characteristic of a child car seat positioned in the interior. The sensor control module is also configured to compare the at least one determined characteristic of the child car seat with child car seat comparison information and, responsive to the comparison of the at least one determined characteristic with the child car seat comparison information, control an operation of the vehicle.

Abstract: System, methods, and other embodiments described herein relate to sensing interactions of a passenger with components within a vehicle. In one embodiment, a method includes acquiring, from a radar of a vehicle, radar data about a passenger cabin of the vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates that a passenger satisfies a threshold in relation to an unpermitted action, generating a response that counters the unpermitted action.

Abstract: A method for collaborative and optimal allocation of a route time slot and a flight level comprises: acquiring planned route information and alternative route information in a traffic limited airspace, available time slot information of a downstream airspace unit of the planned route, and flight operation information first, then formulating an algorithm for the collaborative and optimal allocation of the route time slot and the flight level, establishing an objective function and a constraint condition which meet effectiveness by taking a minimum total ground delay loss of all flights, a minimum change number of flight levels of all flights and a minimum total fuel consumption of all flights as objectives, further establishing a multi-objective optimization model for the collaborative allocation of the route time slot and the flight level, and forming a strategy for the collaborative and optimal allocation of the route time slot and the flight level.

Abstract: System, methods, and other embodiments described herein relate to improving the safety of a vehicle in relation to occurrences of smoke and fire. In one embodiment, a method includes acquiring, from a radar of a subject vehicle, radar data about a passenger cabin of the subject vehicle. The method includes determining a current state of the passenger cabin according to the radar data. The method includes, responsive to identifying that the current state indicates smoke is present within the passenger cabin, controlling the subject vehicle to generate a response to the smoke.

Abstract: Systems and methods are provided for enhancing techniques for provisioning optical channels to allow optical networks to operate in an optimal fashion. A method, according to one implementation, includes utilizing a plurality of modems to measure optical performance parameters of a plurality of optical channels of an optical spectrum. Each optical channel is previously unassigned in an unknown optical link system to be commissioned. The modems are arranged within a group for communicating optical signals within the optical spectrum across the unknown optical link system to an unknown far-end network element. The method also includes provisioning the plurality of optical channels based on the measured optical performance parameters to enable data communication between the near-end network element and the far-end network element. Before commissioning, the unknown optical link system does not allow data communication between the near-end network element and the far-end network element.

Abstract: An unstructured grid model with actual well trajectory of individual multilateral wells of a subsurface reservoir is formed. Well trajectory data obtained during drilling of the wells and corresponding to well trajectory data stored as a structured grid model is provided as an input data set for unstructured grid simulation. The unstructured grid model may be formed in a computerized mainframe processor system, or by parallel reservoir simulation by processor nodes of a multicore processor of parallel processor nodes synchronized and under control of a master node.

Abstract: Disclosed is a method for training an expression transfer model performed by a computer device, the method including: obtaining a source domain facial image of a first object, a target domain facial image of a second object and a facial feature image associated with the target domain facial image; applying the facial feature image and the source domain facial image to an expression transfer model to obtain a synthesized facial image of the first object; applying the synthesized facial image and the target domain facial image to a discriminative network model obtain two discrimination results; applying the synthesized facial image and the target domain facial image to an image classification model to obtain a category feature vector for identifying a difference between the synthesized facial image and the target domain facial image; and updating the expression transfer model according to the category feature vector and the discrimination results.

Abstract: An embodiment of this application discloses an artificial intelligence-based image generation method performed by a computer device. The method includes: acquiring a source image including a target object whose pose is to be transformed, and a target image including a reference object presenting a target pose; determining a pose transition matrix according to a model pose corresponding to the pose of the target object and a model pose corresponding to the target pose of the reference object; extracting a basic appearance feature of the target object from the source image; processing the basic appearance feature based on the pose transition matrix, to obtain a target appearance feature of the target object in the target pose; and generating a target synthetic image of the target object in the target pose based on the target appearance feature.

Abstract: Reservoir management based on unstructured grid reservoir simulation is improved with machine learning based intelligent automation. Reservoir heterogeneity, geological internal boundary features and well geometry complexity are taken into account to automatically detect well zone and focusing reservoir area by calculating the region-of-interests in the model and defining cell spacing for grid coarsening and refinement in the reservoir. Data points for wells in the reservoir are grouped into reservoir regions according to datasets organized as a convex hull, which is a minimum convex set in spatial geometry which encloses the totality of such data points. The reservoir regions form a basis for grid spacing utilized in the reservoir model.

Abstract: Orthogonal unstructured grids are automatically constructed for a field or reservoir model with two types of internal boundaries: complex wells and faults, or other discontinuities. The methodology is used to constructed simulation grids for reservoirs or fields which contains both complex fault planes and multi-lateral wells. A hierarchical grid point generation, prioritization, conflict point removal system is provided enabling the use of unconstrained Delaunay triangulation. High-quality orthogonal unstructured grids are produced with good convergence properties for reservoir simulation.

Abstract: A communication system includes a transmitting module. The transmitting module is configured to send at least one preamble to a receiver module operating alternatively in an idle mode or a transmission mode during a synchronization time period (Tsync). The synchronization time period (Tsync) is greater than an idle time period of the idle mode of the receiving module.