Abstract: Selecting a transport configuration for a data network adapted to transport data traffic belonging to different traffic types. A selecting device determines an actual traffic mix of traffic types and corresponding traffic loads transported on the data network. The device determines, based on the actual traffic mix, multiple future traffic mixes of traffic types and corresponding traffic loads, wherein the future traffic mixes are associated with probability values and classifiable into different future traffic mix classes, each future traffic mix class being associated with a predefined transport configuration capable of handling any future traffic mix falling in that future traffic mix class. The device is configured to aggregate the probability values associated with those future traffic mixes that belong to the same future traffic mix class and to select the transport configuration associated with the highest probability value across the aggregated and non-aggregated probability values.

Abstract: A digital train brake testing and train preparation assistant uses a system, method, and computer program for determining a component parameter of a train. The system may include sensor nodes mounted to a respective part of the train, wherein the sensor nodes form a sensor network on a rail car, wherein railcars form a wireless mesh network, and wherein each of the sensor nodes is configured to collect data of the component of the respective part of the train and to publish the collected data into the wireless mesh network. The system may further include a server system configured to receive the published data of the wireless mesh network and to determine the component parameter of the train based on the received data. Furthermore, a user device for displaying a component parameter determined by a system, method, and computer program for determining a component parameter of a train is provided.

Abstract: A method includes obtaining, by a first agent engine that generates actions for a first agent, a first objective of the first agent. In some implementations, the method includes generating, by the first agent engine, a first influence for a second agent engine that generates actions for a computer-generated reality (CGR) representation of a second agent. In some implementations, the first influence is based on the first objective of the first agent. In some implementations, the method includes triggering the CGR representation of the second agent to perform a set of one or more actions that advances the first objective of the first agent. In some implementations, the second agent engine generates the set of one or more actions based on the first influence generated by the first agent engine.

Abstract: In some implementations, a method of navigation mesh exploration is performed at a virtual agent operating system. The method includes: determining one or more first sensory perception regions for one or more senses of a virtual agent based on a first perceptual vector associated with the virtual agent; generating a first portion of a navigation mesh for the XR environment based on the one or more first sensory perception regions, wherein the first portion of the navigation mesh includes candidate subsequent locations different from the first location; and in response to detecting movement of the virtual agent to a respective candidate subsequent location among candidate subsequent locations, generating a second portion of the navigation mesh for the XR environment based on one or more second sensory perception regions for the one or more senses of the virtual agent relative to the respective candidate subsequent location.

Abstract: Techniques for real-time encrypted over-the-top (OTT) data quality analysis are presented. For instance, the present disclosure includes an example method performed by a device in a recurrent neural network (RNN) implemented in a data communication system. The method includes periodically obtaining information corresponding to one or more OTT data sessions in the data communication system, the information being obtained from one or more of a packet probe, a test terminal, and a network node. The method also includes generating at least one quality metric associated with the one or more OTT data sessions based on the periodically obtained information. Related devices, processor and memory arrangements, methods, and computer programs are also presented.

Abstract: An encoded artificial intelligence (AI) behavior specification is received. A data generation configuration specification is received. And a deep neural network configuration specification is received. A training data set based on the data generation configuration specification is generated. An AI behavior deep neural network that conforms to the deep neural network configuration specification is trained using at least a subset of the generated training data. The trained AI behavior deep neural network is provided from a remote AI add-in service to a development environment.

Abstract: In one implementation, a method for improved motion planning. The method includes: obtaining a macro task for a virtual agent within a virtual environment; generating a search-tree based on at least one of the macro task, a state of the virtual environment, and a state of the virtual agent, wherein the search-tree includes a plurality of task nodes corresponding to potential tasks for performance by the virtual agent in furtherance of the macro task; and determining physical motion plans (PMPs) for at least some of the plurality of task nodes within the search-tree in order to generate a lookahead planning gradient for the first time, wherein a granularity of a PMP for a respective task node in the first search-tree is a function of the temporal distance of the respective task node from the first time.

Abstract: A method includes obtaining, by a first agent engine that generates actions for a first agent, a first objective of the first agent. In some implementations, the method includes generating, by the first agent engine, a first influence for a second agent engine that generates actions for a computer-generated reality (CGR) representation of a second agent. In some implementations, the first influence is based on the first objective of the first agent. In some implementations, the method includes triggering the CGR representation of the second agent to perform a set of one or more actions that advances the first objective of the first agent. In some implementations, the second agent engine generates the set of one or more actions based on the first influence generated by the first agent engine.

Abstract: Various implementations disclosed herein include devices, systems, and methods for controlling motion of CGR objects. In various implementations, a device includes a non-transitory memory and one or more processors coupled with the non-transitory memory. In some implementations, a method includes determining, by a first animation controller, values for a first set of animation parameters associated with a first animation for a computer-generated reality (CGR) object. In some implementations, the CGR object is associated with a plurality of joints. In some implementations, the method includes generating, by a motion controller, respective joint movements for the plurality of joints based on the values for the first set of animation parameters. In some implementations, the method includes manipulating the CGR object in accordance with the respective joint movements for the plurality of joints in order to provide an appearance that CGR object is moving within a degree of similarity to the first animation.

Abstract: A technique of triggering transition control between different RRC states of wireless terminal devices is described. A method aspect of this technique comprises receiving a request for an RRC state transition control for a terminal device, wherein the request includes at least one identifier associated with the terminal device. The method further comprises obtaining a temporal inactivity parameter associated with the at least one identifier, wherein the temporal inactivity parameter depends on an estimated period of time between two traffic activities of the terminal device. Further still, the method comprises triggering, based on the temporal inactivity parameter or a parameter derived on the basis of the temporal inactivity parameter, the RRC state transition control for the terminal device.

Abstract: In some implementations, a method of improved pathfinding is performed at a virtual agent operating system including non-transitory memory and one or more processors coupled with the non-transitory memory. The method includes: determining an initial path for a virtual agent to a target destination based at least in part on a navigation mesh of an XR environment; actuating locomotive elements of the virtual agent in order to move the virtual agent according to the initial path; while moving according to the initial path, detecting a node of a navigation graph; in response to detecting the node of the navigation graph: obtaining navigation information from the node of the navigation graph; and determining an updated path from the node to the target destination based at least in part on the navigation mesh and the navigation information; and actuating the locomotive elements of the virtual agent according to the updated path.

Abstract: A method includes maintaining a hierarchical datastore for an agent instantiated in a computer-generated reality (CGR) environment. The hierarchical datastore includes a first storage hierarchy associated with a first data type and a second storage hierarchy associated with a second data type. The method includes detecting a sensory input that includes sensory input data. The method includes determining a type of the sensory input data. The method includes, in response to the sensory input data being of the first data type, storing the sensory input data in the first storage hierarchy for a first amount of time associated with the first storage hierarchy. The method includes, in response to the sensory input data being of the second data type, storing the sensory input data in the second storage hierarchy for a second amount of time that is different from the first amount of time.

Abstract: A method of content delivery in a content delivery network (CDN), where the CDN is deployed, operated and managed by a content delivery network service provider (CDNSP). The CDN comprises a set of content servers and a domain name system (DNS). For a given content provider, a determination is first made whether the content provider has “cold content” delivery requirements by evaluating one or more factors that include: total content size, size of content objects expected to be served, uniqueness of content, total number of content objects, and a percentage of the total content size that is expected to account for a given percentage of traffic. Upon a determination that the content provider has cold content delivery requirements, a subset of the CDN content servers are configured to implement a set of one or handling rules for managing delivery of the cold content from the CDN content servers.

Abstract: Selecting a transport configuration for a data network adapted to transport data traffic belonging to different traffic types. A selecting device determines an actual traffic mix of traffic types and corresponding traffic loads transported on the data network. The device determines, based on the actual traffic mix, multiple future traffic mixes of traffic types and corresponding traffic loads, wherein the future traffic mixes are associated with probability values and classifiable into different future traffic mix classes, each future traffic mix class being associated with a predefined transport configuration capable of handling any future traffic mix falling in that future traffic mix class. The device is configured to aggregate the probability values associated with those future traffic mixes that belong to the same future traffic mix class and to select the transport configuration associated with the highest probability value across the aggregated and non-aggregated probability values.

Abstract: A method of content delivery in a content delivery network (CDN), where the CDN is deployed, operated and managed by a content delivery network service provider (CDNSP). The CDN comprises a set of content servers and a domain name system (DNS). For a given content provider, a determination is first made whether the content provider has “cold content” delivery requirements by evaluating one or more factors that include: total content size, size of content objects expected to be served, uniqueness of content, total number of content objects, and a percentage of the total content size that is expected to account for a given percentage of traffic. Upon a determination that the content provider has cold content delivery requirements, a subset of the CDN content servers are configured to implement a set of one or handling rules for managing delivery of the cold content from the CDN content servers.

Abstract: A laser alignment arrangement includes a first stage configured to structurally support a laser at a first longitudinal position of the laser, the first stage being configured to adjust the first longitudinal position of the laser in at least one direction orthogonal to an axis of the laser, and a second stage configured to structurally support the laser at a second longitudinal position of the laser, the second stage being configured to adjust the second longitudinal position of the laser in at least one direction orthogonal to the axis of the laser.

Abstract: The invention relates to a process for recycling used rubber product, such as tires and/or other rubber products, containing the step of treating the rubber grind obtained by grinding the used rubber products, in the presence of a weak base and butadiene/styrene copolymer as well one or more additives to a shear stress of at least 15 to 25 MPa. The invention relates furthermore to re-vulcanizable re-rubber blend obtained by the process according to the invention and also to the tires and other rubber products obtained by vulcanizing thereof.

Abstract: Techniques for real-time encrypted over-the-top (OTT) data quality analysis are presented. For instance, the present disclosure includes an example method performed by a device in a recurrent neural network (RNN) implemented in a data communication system. The method includes periodically obtaining information corresponding to one or more OTT data sessions in the data communication system, the information being obtained from one or more of a packet probe, a test terminal, and a network node. The method also includes generating at least one quality metric associated with the one or more OTT data sessions based on the periodically obtained information. Related devices, processor and memory arrangements, methods, and computer programs are also presented.

Abstract: A floor tool unit for a surface treating appliance, the floor tool unit having: a coupling member; a floor tool pivotally coupled to the coupling member about a first axis; a support member having a longitudinal support member axis, the support member being pivotally coupled to the coupling member about a second axis such that the support member axis and second axis are non-perpendicular; and a tube member attached to the floor tool and to the support member; wherein the tube member extends through the coupling member. A surface treating appliance comprising the floor tool unit and a vacuum cleaner comprising the floor tool unit are also provided.

Abstract: A laser alignment arrangement includes a first stage configured to structurally support a laser at a first longitudinal position of the laser, the first stage being configured to adjust the first longitudinal position of the laser in at least one direction orthogonal to an axis of the laser, and a second stage configured to structurally support the laser at a second longitudinal position of the laser, the second stage being configured to adjust the second longitudinal position of the laser in at least one direction orthogonal to the axis of the laser.