Abstract: An information pushing method, apparatus, device, storage medium, and computer program product are provided, relating to the technical field of Internet applications. The method includes: extracting an information feature of candidate information, the information feature including a coarse-grained feature and a fine-grained feature; obtaining a first feature of the candidate information based on an intermediate feature obtained in a process of extracting the coarse-grained feature; obtaining a second feature of the candidate information based on the information feature and the intermediate feature; obtaining target information based on the first feature and the second feature; and pushing the target information.

Abstract: Polymer-based selective radiative cooling structures are provided which include a selectively emissive layer of a polymer or a polymer matrix composite material. Exemplary selective radiative cooling structures are in the form of a sheet, film or coating. Also provided are methods for removing heat from a body by selective thermal radiation using polymer-based selective radiative cooling structures, and a cold collection system comprising a plurality of the polymer-based selective radiative cooling structures.

Abstract: Implementations of the subject matter described herein relate to object detection based on deep neural network. With a given input image, it is desired to determine a class and a boundary of one or more objects within the input image. Specifically, a plurality of channel groups is generated from a feature map of an image, the image including at least a region corresponding to a first grid. A target feature map is extracted from at least one of the plurality of channel groups associated with a cell of the first grid. Information related to an object within the region is determined based on the target feature map. The information related to the object may be a class and/or a boundary of the object.

Abstract: Polymer-based selective radiative cooling structures are provided which include a selectively emissive layer of a polymer or a polymer matrix composite material. Exemplary selective radiative cooling structures are in the form of a sheet, film or coating. Also provided are methods for removing heat from a body by selective thermal radiation using polymer-based selective radiative cooling structures.

Abstract: Implementations of the subject matter described herein relate to object detection based on deep neural network. With a given input image, it is desired to determine a class and a boundary of one or more objects within the input image. Specifically, a plurality of channel groups is generated from a feature map of an image, the image including at least a region corresponding to a first grid. A target feature map is extracted from at least one of the plurality of channel groups associated with a cell of the first grid. Information related to an object within the region is determined based on the target feature map. The information related to the object may be a class and/or a boundary of the object.

Abstract: A cloud based system for vehicle maintenance to a target vehicle includes a cloud based on-site vehicle maintenance service. A GPS-based proximity module in a first server associated with the on-site vehicle maintenance service receives both current GPS coordinates of a service vehicle associated with a first maintenance and service provider and current GPS coordinates of the target vehicle of a customer. The current GPS coordinates are used for at least one maintenance and service delivery session with the target vehicle of the customer. The vehicle maintenance and service operation includes 1) directing the service vehicle to the target vehicle of the customer, 2) opening and/or unlocking the target vehicle of the customer, 3) ensuring the one or more vehicle maintenance and service jobs have been performed, and 4) ensuring the target vehicle of the customer is closed and locked.

Abstract: Polymer-based selective radiative cooling structures are provided which include a selectively emissive layer of a polymer or a polymer matrix composite material. Exemplary selective radiative cooling structures are in the form of a sheet, film or coating. Also provided are methods for removing heat from a body by selective thermal radiation using polymer-based selective radiative cooling structures.

Abstract: Polymer-based selective radiative cooling structures are provided which include a selectively emissive layer of a polymer or a polymer matrix composite material. Exemplary selective radiative cooling structures are in the form of a sheet, film or coating. Also provided are methods for removing heat from a body by selective thermal radiation using polymer-based selective radiative cooling structures.

Abstract: Polymer-based selective radiative cooling structures are provided which include a selectively emissive layer of a polymer or a polymer matrix composite material. Exemplary selective radiative cooling structures are in the form of a sheet, film or coating. Also provided are methods for removing heat from a body by selective thermal radiation using polymer-based selective radiative cooling structures.

Abstract: Polymer-based selective radiative cooling structures are provided which include a selectively emissive layer of a polymer or a polymer matrix composite material. Exemplary selective radiative cooling structures are in the form of a sheet, film or coating. Also provided are methods for removing heat from a body by selective thermal radiation using polymer-based selective radiative cooling structures.

Abstract: A cloud based system for vehicle maintenance to a target vehicle includes a cloud based on-site vehicle maintenance service. A GPS-based proximity module in a first server associated with the on-site vehicle maintenance service receives both current GPS coordinates of a service vehicle associated with a first maintenance and service provider and current GPS coordinates of the target vehicle of a customer. The current GPS coordinates are used for at least one maintenance and service delivery session with the target vehicle of the customer. The vehicle maintenance and service operation includes 1) directing the service vehicle to the target vehicle of the customer, 2) opening and/or unlocking the target vehicle of the customer, 3) ensuring the one or more vehicle maintenance and service jobs have been performed, and 4) ensuring the target vehicle of the customer is closed and locked.

Abstract: An automated system for driver scoring and reporting maintains a performance history associated with particular drivers in a stored database of multiple drivers. An automated system tracks actual operation of the vehicle and maintenance performed on the vehicle to determine an estimated percentage of life remaining for the vehicle. The backend database stores the records of multiple vehicles. Services, such as i) usage-based vehicle leasing and ii) a certified life-expectancy of a vehicle, can use raw vehicle data and enriched vehicle data captured via a dongle module in the vehicle to determine the expected life remaining of that vehicle.

Abstract: A dongle module to be installed in a vehicle is discussed. The dongle module has memory buffers and processors. The dongle module also has a first transceiver that couples the on-board diagnostic (OBD) port of the vehicle to communicate with a fault and diagnostic module of the vehicle. A second transceiver uses wireless communications to communicate with one or more client devices. An RF transmitter transmits RF signals to Remote Keyless Entry (RKE) module of the vehicle. A mapping module either include a first map calculating chip to calculate map coordinates of the vehicle, or periodically receive map coordinates from a client device. A security module is configured either to receive, or to implement an algorithm to determine, a rolling security key of the RKE module of the vehicle. The security module also receives commands to be transmitted by the RF transmitter to the RKE module to be executed.

Abstract: A method to learn and then pair with a pre-installed access control system of a vehicle is discussed. Communication is exchanged between the access control system and a backend cloud-based system. Required data of the access control system including its particular authentication code is extracted by a learning device. A vehicle matching data is sent to the backend cloud-based system and the vehicle is registered with the backend cloud-based system. The learning device is registered to the access control system in accordance with learning procedures implemented in the vehicle as remote entry key. The learning device is coupled to a Radio Frequency signal transmitter that has Application-Specific Integrated Circuits to generate stable RF signals at multiple frequency wavelengths.

Abstract: A geo-proximity Vehicle Alert and Access System (VAAS) is discussed that has a cloud based server having a GPS-based proximity system to control and track a package exchange process, to speed up a package delivery and pick-up process, and to ensure security for the package exchange process. The cloud based server is configured to receive both current GPS coordinates of a package carrier's vehicle and current GPS coordinates of a target vehicle for at least one of package delivery to the target vehicle and package pick up from the target vehicle. The cloud based server is configured to send to the target vehicle the commands to wake-up an on-board telematics module, to give an alert, to unlock the target vehicle, and to lock the target vehicle after receiving a confirmation of the package exchange process.

Abstract: Polymer-based selective radiative cooling structures are provided which include a selectively emissive layer of a polymer or a polymer matrix composite material. Exemplary selective radiative cooling structures are in the form of a sheet, film or coating. Also provided are methods for removing heat from a body by selective thermal radiation using polymer-based selective radiative cooling structures.

Abstract: A cloud based system for a package exchange with a vehicle service is discussed. The system can have servers having processors, ports, and databases and a security module running on the processors to receive a virtual key and one of a request for package exchange with a vehicle service, data, or both, from a package delivery vehicle. The virtual key has a first shelf life and is used for authentication of communications from the delivery vehicle. The security module can receive a security token having a second shelf life from a user. The security token is used for verification of the user and target vehicle. After the first authentication and in an overlap window of the two shelf lives, the security module can send the one or more commands to an on-board actuation module of the target vehicle to cause an electro-mechanical operation in the target vehicle.

Abstract: A method to learn and then pair with a pre-installed access control system of a vehicle is discussed. Communication is exchanged between the access control system and a backend cloud-based system. Required data of the access control system including its particular authentication code is extracted by a learning device. A vehicle matching data is sent to the backend cloud-based system and the vehicle is registered with the backend cloud-based system. The learning device is registered to the access control system in accordance with learning procedures implemented in the vehicle as remote entry key. The learning device is coupled to a Radio Frequency signal transmitter that has Application-Specific Integrated Circuits to generate stable RF signals at multiple frequency wavelengths.

Abstract: A key fob simulator for sending actuation command to a vehicle is discussed. The key fob has memory buffers, processors, and a transceiver that uses wireless communications to communicate with a backend cloud-based system. A RF transmitter of the key fob can transmit RF signals to Remote Keyless Entry (RKE) module of the vehicle. A mapping module includes a map-calculating circuit to calculate map coordinates of the key fob. A security module can receive a rolling security key of the RKE module of the vehicle. The key fob includes buttons that can be pushed by a user of the key fob to generate actuation commands by the security module. Using the RF transmitter, an actuation command and the rolling security key can be sent from security module to the RKE module of the vehicle. The RKE module then executes the actuation command after validating the rolling security key.

Abstract: A method to learn and then pair with a pre-installed access control system of a vehicle is discussed. Communication is exchanged between the access control system and a backend cloud-based system. Required data of the access control system including its particular authentication code is extracted by a learning device. A vehicle matching data is sent to the backend cloud-based system and the vehicle is registered with the backend cloud-based system. The learning device is registered to the access control system in accordance with learning procedures implemented in the vehicle as remote entry key. The learning device is coupled to a Radio Frequency signal transmitter that has Application-Specific Integrated Circuits to generate stable RF signals at multiple frequency wavelengths.