Abstract: An example system includes a mobile system having at least one network zone; a policy manager circuit structured to interpret a policy comprising an external data quantity description; a configuration circuit structured to configure a gatekeeper interface circuit in response to the external data quantity description; and the gatekeeper interface circuit interposed between the at least one network zone and a transceiver selectively couplable to an external device, and further structured regulate communications between end points of the at least one network zone and the transceiver.

Abstract: An apparatus for managing vehicle data collection including a policy acquisition circuit, a parameter acquisition circuit, and a parameter storage circuit. The policy acquisition circuit structured to interpret a vehicle policy data value including a requested vehicle property. The parameter acquisition circuit is structured to interpret a plurality of vehicle parameter values from a plurality of providing end points on at least one network zone of a vehicle. The parameter storage circuit is structured to selectively store at least a portion of the plurality of vehicle parameter values, determine a reserved memory amount associated with at least a portion of the plurality of vehicle parameter values by determining an amount of data to be collected to support plurality of vehicle parameter values; and perform the selectively storing the plurality of vehicle parameter values in response to the reserved memory amount.

Abstract: A computer-implemented method and system for global device management architecture with regional autonomy for devices on a cellular network are disclosed. The computer implemented method for optimizing device management architecture for IoT devices includes providing device information to a server in a master node for registering a device with the master node; providing rules to assign the device to at least one node based on the device information; assigning the device to the at least one node in response to the rules; and automatically configuring the device to connect the device to the assigned node.

Abstract: A system including a vehicle having a network comprising a plurality of end points and a controller, where the controller includes an automation definition circuit, an automation management circuit, and an automation execution circuit. The automation definition circuit is structured to interpret a task description. The automation management circuit is structured to provide a task action plan in response to the task description. The automation execution circuit is structured to provide a task execution command in response to the task action plan, where an end point of the plurality of end points is responsive to the task execution command to implement a task for the vehicle.

Abstract: A system including a vehicle having a network comprising a plurality of end points and a controller, where the controller includes an automation definition circuit, an automation management circuit, and an automation execution circuit. The automation definition circuit is structured to interpret an automation trigger description and an automation action description. The automation management circuit is structured to provide a trigger detection plan and an automated action plan in response to the automation trigger description and the automation action description. The automation execution circuit is structured to determine a trigger event value in response to the trigger detection plan, and to provide an automation command in response to the trigger event value and the automated action plan, where an end point of the plurality of end points is responsive to the automation command to implement an automated vehicle response.

Abstract: A system including a vehicle having a network comprising a plurality of end points and a controller, where the controller includes an automation definition circuit, an automation management circuit, and an automation execution circuit. The automation definition circuit is structured to interpret an automation description. The automation management circuit is structured to provide an automated action plan in response to the automation description. The automation execution circuit is structured to provide an automation command in response to the automated action plan, wherein an end point of the plurality of end points is responsive to the automation command to implement an automated vehicle response.

Abstract: A method and an apparatus for converting a voice timbre, and a method for training a model. The solution includes: obtaining a target acoustic feature by encoding a sample audio using an encoding branch in a voice timbre conversion model; obtaining a target text feature by performing feature extraction on a real text sequence labeled by the sample audio; training the encoding branch based on a difference between the target acoustic feature and the target text feature; obtaining a first spectrum feature having an original timbre by decoding the target text feature using a decoding branch in the voice timbre conversion model based on the original timbre corresponding to the identification information carried in the sample audio; obtaining a second spectrum feature by performing spectrum feature extraction on the sample audio; and training the decoding branch based on a difference between the first spectrum feature and the second spectrum feature.

Abstract: A computer-implemented system and method for secure authentication of IoT devices are disclosed. The method for secure authentication of IoT devices comprises establishing a network connection with a network operator server via a control channel, establishing identity of the network operator server using a pre-shared server key from one or more of pre-shared server keys, establishing identity of the IoT device using a pre-shared client key from one or more of pre-shared client keys and cryptographically generating a session key for a network session to allow secure data exchange between the network operator server and the IoT device. The cryptographically generated session key is used for securely authenticating application running on the authenticated IoT device.

Abstract: Provided are a method for processing model parameters, and an apparatus. The method comprises: a model parameter set to be sharded is obtained, wherein the model parameter set comprises a multi-dimensional array corresponding to a feature embedding; attribute information for a storage system used for storing the model parameter set to be sharded is obtained, wherein the storage system used for storing the model parameter set to be sharded differs from a system on which a model corresponding to the model parameter set to be sharded is located when operating; the model parameter set to be sharded is stored in the storage system according to the attribute information.

Abstract: A computer-implemented method, system and computer program product for buying and selling service for transferring a quantity of data using cellular network in a market allowing real-time pricing is disclosed. The computer-implemented method for buying and selling service for transferring a quantity of data using cellular network includes receiving and storing one or more offers to transfer a quantity of data using cellular service; receiving and processing one or more discovery requests to transfer a quantity of data using cellular service; matching at least one of the one or more discovery requests with at least one of the one or more stored offers; and facilitating buying and selling of the service to transfer a quantity of data.

Abstract: An apparatus for managing vehicle data collection including a remote access execution circuit, a property translation circuit, a parameter acquisition circuit, a remote operation circuit, and a parameter conditioning circuit. The remote access execution circuit interprets a remote access request value including a requested vehicle property and/or a vehicle function value. The property translation circuit determines: a property request value responsive to the requested vehicle property; and/or an actuator command value responsive to the vehicle function value. The parameter acquisition circuit interprets vehicle parameter values responsive to the property request value. The remote operation circuit provides the actuator command value to a vehicle network zone endpoint. The parameter conditioning circuit generates, responsive to the property request value, vehicle property data from the vehicle parameter values. The vehicle property data corresponds to the requested vehicle property.

Abstract: A network connection method and device for a training participant of a joint training model are provided, the training participant operates in a master-worker mode. The method includes: acquiring communication state information of a worker, the communication state information indicating a communication connection phase that the worker is in; acquiring communication state information of a target worker as target communication state information, where the target worker includes a peer node corresponding to the worker, and the peer node belongs to a different training participant of the joint training model; and resetting, in response to determining that the target communication state information does not match the communication state information of the worker, a communication connection phase that the worker is in.

Abstract: Provided are a method and apparatus for evaluating a joint training model. A specific implementation of the method for evaluating a joint training model comprises: receiving a model evaluation data request sent by a target device, wherein the target device comprises a participant of a joint training model; acquiring a sample set matching the model evaluation data request, wherein the matching sample set is labeled data associated with the joint training model; and generating model evaluation data of the joint training model according to the matching sample set. By means of the implementation, an effect index of a joint training model can be shared on the premise of not exposing original sample data. Accordingly, a timely and effective data reference basis is provided for the optimization and improvement of the joint training model.

Abstract: A method of converting a speech, an electronic device, and a readable storage medium are provided, which relate to a field of artificial intelligence technology such as speech and deep learning, in particular to speech converting technology. The method of converting a speech includes: acquiring a first speech of a target speaker; acquiring a speech of an original speaker; extracting a first feature parameter of the first speech of the target speaker; extracting a second feature parameter of the speech of the original speaker; processing the first feature parameter and the second feature parameter to obtain a Mel spectrum information; and converting the Mel spectrum information to output a second speech of the target speaker having a tone identical to a tone of the first speech of the target speaker and a content identical to a content of the speech of the original speaker.

Abstract: Provided are a method and an apparatus for generating prediction information, an electronic device, and a computer readable medium. The method includes: generating, based on first user characteristic information of a target user, anonymous user information of the target user (201); sending the anonymous user information to a second processing end to enable the second processing end to generate prediction information based on the anonymous user information and second user characteristic information (202) of the target user. Data interaction and sharing are realized while ensuring data privacy, thereby improving accuracy of the prediction information.

Abstract: A system including a vehicle having a network comprising a plurality of end points and a controller, where the controller includes an automation definition circuit, an automation management circuit, and an automation execution circuit. The automation definition circuit is structured to interpret an automation description. The automation management circuit is structured to provide an automated action plan in response to the automation description. The automation execution circuit is structured to provide an automation command in response to the automated action plan, where an end point of the plurality of end points is responsive to an automation command to implement an automated vehicle response.

Abstract: An example system includes a vehicle having a first network zone and a second network zone of a different type than the first network zone, a converged network device (CND) interposed between the zones, where the CND includes a policy management circuit that interprets a policy including a network regulation description, a configuration circuit that configures network interface circuit(s) in response to the policy, and the interface circuit(s) that regulate communications between end points of the network zones.

Abstract: An example system includes a first network interface circuit structured to interpret a first Ethernet data set and to transmit a second Ethernet data set; a second network interface circuit structured to transmit a first controller area network (CAN) data set and to interpret a second CAN data set; and a translation circuit structured to: determine a first message value from the first Ethernet data set and to encapsulate the first message value in the first CAN data set; and determine a second message value from the second CAN data set and to encapsulate the second message value in the second Ethernet data set; wherein the first network interface circuit, the translation circuit, and the second network interface circuit are defined by an Ethernet switch and/or a CAN gateway both structured to be incorporated into a mobile system.

Abstract: The present invention is directed towards a computer-implemented method and system for managing device data feeds. The computer-implemented method and system comprise using a data model to describe type of data received from the devices, grouping the received type of data based on a data description, and forwarding the device data to a receiver endpoint as directed by the subscription information comprising a receiver endpoint and a rule uniquely identified by the subscription identifier using application programming interface key to manage access to the device data.

Abstract: An example system includes a vehicle having an Ethernet based network and a controller area network (CAN) based network; a CAN vehicle control device disposed onboard the vehicle and structured to control operation of a component of the vehicle; an Ethernet vehicle control device disposed onboard the vehicle and structured to electrically communicate with the CAN vehicle control device; an Ethernet switch disposed onboard the vehicle and having a plurality of physical ports connected to the Ethernet based network; a CAN gateway disposed onboard the vehicle and connected to the CAN based network and the Ethernet switch; and a network convergence circuit defined at least in part by the Ethernet switch and/or the CAN gateway, and structured to facilitate electronic communications between the Ethernet vehicle control device and the CAN vehicle control device.