Abstract: The present invention relates to the field of elevator braking, in particular to an action state detection method and system for an elevator brake, comprising: acquiring matching pairs of brake linings in the same braking state; constructing normal record data sets based on the matching pairs; grouping the normal record data sets based on braking power corresponding to samples in the normal record data sets to determine a median of elevator running speed corresponding to the samples in each group; dividing the operating state levels of the elevator brake according to the size of the median; constructing a data training set; training a constructed network model to obtain a trained network model; acquiring the operating state levels of an elevator to be detected by the trained network model, evaluating the elevator brake according to the operating state levels, and controlling the elevator.

Abstract: Disclosed are a polyethylene glycol conjugate drug, and a preparation method therefor and the use thereof. Specifically, the present invention relates to a polyethylene glycol conjugate drug represented by formula A or a pharmaceutically acceptable salt thereof, a method for preparing the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, an intermediate for preparing the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, a pharmaceutical composition comprising the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof, and the use of the polyethylene glycol conjugate drug or the pharmaceutically acceptable salt thereof in the preparation of a drug.

Abstract: This invention provides a system-oriented and fully-controlled connected automated vehicle highway system for various levels of connected and automated vehicles and highways. The system comprises one or more of: 1) a hierarchical traffic control network of Traffic Control Centers (TCC's), local traffic controller units (TCUs), 2) A RSU (Road Side Unit) network (with integrated functionalities of vehicle sensors, I2V communication to deliver control instructions), 3) OBU (On-Board Unit with sensor and V2I communication units) network embedded in connected and automated vehicles, and 4) wireless communication and security system with local and global connectivity. This system provides a safer, more reliable and more cost-effective solution by redistributing vehicle driving tasks to the hierarchical traffic control network and RSU network.

Abstract: This invention provides a system-oriented and fully-controlled connected automated vehicle highway system for various levels of connected and automated vehicles and highways. The system comprises one or more of: 1) a hierarchical traffic control network of Traffic Control Centers (TCC's), local traffic controller units (TCUs), 2) A RSU (Road Side Unit) network (with integrated functionalities of vehicle sensors, I2V communication to deliver control instructions), 3) OBU (On-Board Unit with sensor and V2I communication units) network embedded in connected and automated vehicles, and 4) wireless communication and security system with local and global connectivity. This system provides a safer, more reliable and more cost-effective solution by redistributing vehicle driving tasks to the hierarchical traffic control network and RSU network.

Abstract: The present application discloses a communication method, a terminal, a server, a communication system, a computer device and a medium. The communication method includes that a server establishes a connection and feeds back a display control in response to requests of a first terminal and a second terminal; then, the server feeds back function feedback information in response to a function request of the first terminal, and feeds back function feedback information in response to a menu request of the second terminal; and the servers presents multiple interface components and maintains and updates each interface component in response to management operation of a third user.

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 receiving a first health characteristic of an occupant from a first device affixed to a transport, responsive to the first health characteristic being at or outside a threshold, receiving a second health characteristic of the occupant from a second device affixed to the occupant, and sending a notification to other devices that were proximate the second device when the second health characteristic is outside the threshold.

Abstract: Example methods and apparatuses are described. An example method includes: receiving first physical uplink control channel (PUCCH) configuration information corresponding to a first service and second PUCCH configuration information corresponding a second service, and respectively indicate a granularity of a first time unit and a granularity of a second time unit; determining first hybrid automatic repeat request (HARQ) information and second HARQ information, where a priority of the first HARQ information is the same as a priority of the second HARQ information; and in response to determining that the granularity of the first time unit is different from the granularity of the second time unit, feeding back the first HARQ information in the first time unit and the second HARQ information in the second time unit, wherein the first time unit and the second time unit do not overlap in time domain.

Abstract: An example operation includes one or more of receiving a scan of a cabin of a vehicle, wherein the scan includes a spatial region inside the vehicle and outside the vehicle proximate at least one vehicle door, determining at least one occupant characteristic based on the scan, including a classification detection and a presence detection of at least one seat inside the vehicle, determining a cabin status based on the at least one occupant characteristic and communicating the cabin status to a mobile device.

Abstract: An example operation includes one or more of determining a danger level of an object in a vehicle, determining characteristics of the object including a weight, a size, and a location, updating the danger level of the object based on one or more of the characteristics, and sending a notification to a device associated with the updated danger level of the object.

Abstract: A method may include determining, during a first time step within an iterative simulation process, various pseudo-pressure values based on model data. The method may include determining, during the first time step, a first set of skin factor values for the wellbore radial grid portions using the pseudo-pressure values. The method may include simulating, during the first time step, a first well production rate for a well within a reservoir region of interest using the first set of skin factor values and a first pressure distribution for the reservoir region of interest. The method may include simulating, during a second time step within the iterative simulation process, a second well production rate for the well using a second set of skin factor values and a second pressure distribution for the reservoir region of interest.

Abstract: An example operation includes one or more of determining a condition at a location containing a past occupant of a vehicle, determining a time when the past occupant will become an occupant of the vehicle, and adjusting another condition of a cabin of the vehicle to be at the condition at the time.

Abstract: An example operation includes recording, from a vehicle sensor, data indicative of a plurality of movements of a first occupant in an interior of a vehicle; determining, from the recording, a first maximum range of extension among the plurality of movements, and a first amount of time between a first movement and a second movement of the plurality of movements; and assigning the first occupant to one of a plurality of age groups, based upon the determining.

Abstract: An example operation includes determining, by a vehicle, that a first occupant has exited the vehicle at a first location and has relocated to a second location; detecting, by the vehicle, a level of seriousness of an event related to the vehicle; sending a first notification of the event, by the vehicle, to a device associated with the first occupant, based on the first location and the level of seriousness; and, responsive to the device not responding to the first notification, sending a second notification to a server associated with an entity at the second location.

Abstract: An example operation includes one or more of entering, by a vehicle, a security mode, when sensors on the vehicle detect a movement or an irregular sound, collecting data, by the vehicle, from the sensors to record an area proximate the vehicle, analyzing, by the vehicle, the data to determine a security threat, notifying, by the vehicle, a device associated with the vehicle when the security threat is above a threshold, and performing an action, by the vehicle, based on a message received from the device.

Abstract: An example operation includes one or more of receiving data from sensors on a vehicle, where the data is associated with an internal environment of the vehicle and characteristics of an occupant of the vehicle and modifying functionality of the vehicle based on the received data, where the modifying updates a Graphical User Interface (GUI) of the vehicle and a GUI of a device associated with the occupant.

Abstract: An example operation includes detecting, by a vehicle, a location of a first potential passenger proximate to a road; determining, by the vehicle, a first road safety level of a pick-up for the first potential passenger; denying, by the vehicle, the pick-up for the first potential passenger when the determined first road safety level is below a threshold; determining, by the vehicle, a second road safety level of a pick-up for a second potential passenger; and picking up, by the vehicle, the second potential passenger, when the second road safety level is above the threshold.

Abstract: An example operation includes one or more of determining a movement of an occupant in a vehicle, determining an atypical health condition based on the movement and a position of the occupant in the vehicle, determining if the occupant is breathing, based on an analysis performed by the vehicle, verifying the atypical health condition by the vehicle, based on received data from a device proximate the occupant, and sending a notification to an entity, based on the verification.

Abstract: An example operation includes one or more of receiving a call on a device associated with an occupant of a vehicle, determining a noise level proximate the occupant, and directing the call to a speaker proximate the occupant, based on the noise level.

Abstract: An example operation includes one or more of determining an occupant and an object in a vehicle, determining a type of the object, determining a first timestamp associated with the occupant and a second timestamp associated with the object, and responsive to the timestamps overlapping, notifying a device associated with the occupant when the value is greater than a threshold.