Abstract: A data processing system implements transmitting an RF signal using a transmitter disposed at a first side of a produce container containing produce to be monitored for quality. The signal is transmitted on multiple frequencies. The system further implements receiving the signal using a receiver disposed at a second side of the produce container opposite the first side of the produce container so the signal passes through the produce; obtaining a sample signal output by the receiver responsive to receiving the signal that passed through the produce contained in the produce container; analyzing the sample signal to identify differences between the RF signal and the sample signal representative of the dielectric properties of the produce; determining an estimated quality level of the produce based on the differences between the RF signal and the sample signal; and outputting an indication of the estimated quality level of the produce.

Abstract: The techniques disclosed herein enable systems to enable multi-market optimization of renewable energies using data-driven models. To achieve this, a model retrieves a current state from a resource generation system and associated resource markets. The model can then compute a policy based on the state as well physical and technical constraints. The policy defines various actions that direct operation of the resource generation system such as resource production and dispatch to markets. Applying the policy to the resource generation results in a modified state which the model extracts along with a measure of optimality which quantifies the success of the policy. Based on these metrics, the model can generate an updated iteration of the policy defining a different set of actions. In this way, the model can gradually develop an optimal policy for controlling the resource generation system.

Abstract: A supply chain tracking system utilizes tracking codes to track products through a supply chain. A tracking code is assigned to each product. If the product is grouped with other products at a stage in the supply chain, a tracking code is assigned to the group, and the tracking code for each of the products in the group is associated with the tracking code for the group. If the group of products is further aggregated with groups of other products, such as in a shipping container, a tracking code is assigned to the aggregated groups of products, and the tracking code for each of the groups of products is associated with the tracking code for the aggregated groups of products. The tracking codes are used to generate a supply chain graph which maps the travel of each product through the supply chain.

Abstract: Securing and optimizing communications for a cloud service provider includes collecting connection summary information at network interface devices associated with host computing devices for a group of resources allocated to a customer of the cloud computing environment. The connection summary information includes local address information, remote address information, and data information, each connection established via the network interface devices. At least one communication graph is generated for the group of resources using the connection summary information. The graph includes nodes that represent communication resources of the group of resources and edges extending between nodes that characterize communication between the nodes. At least one analytics process is performed on data from the graph to identify at least one of a micro-segmentation strategy, a communication pattern, and a flow prediction for the group of resources.

Abstract: A device and method for managing communication frequencies, including generating a geographical grid with a plurality of cells and allocating communication frequencies to the cells. Each of the communication frequencies is used for communication between a satellite and a ground device or ground IoT modem. A communication frequency allocated to one cell is different from the communication frequencies allocated to each of the immediately surrounding cells. A set of communication frequencies is selected for communication between the satellite and ground devices based on a ground track of the satellite. The selected set is transmitted to the satellite to communicate with the ground station located in a cell with the communication frequency allocated to that cell.

Abstract: This disclosure details a base station and client devices using dynamic spectrum access for communication within a frequency spectrum by selecting channels dynamically for efficient communication. This includes identifying active uplink and downlink channels from an available list and allocating them to multiple client devices based on their locations, with some devices sharing common active channels. A downlink channel is designated as a beaconing channel, used for beaconing with embedded information, including the coordinates of a region among a plurality of regions, available channels for the region, and a buffer slot in the channels, during a beaconing period occurring outside regular transmission times. Acknowledgments with medium access control (MAC) commands for an identified subset of client devices sharing an active channel are grouped and transmitted, with each message in the plurality of messages on the uplink channels followed by a downlink acknowledgment.

Abstract: The disclosure herein describes using satellites and ground sinks and/or stations for routing IoT device data packets from IoT devices. A target ground sink in range of the satellite is identified and an expected reception (ER) score for the target ground sink is calculated based on ER parameter data and location data of the satellite. A data packet in a first level of a multi-level data structure of the satellite is sent to the target ground sink and, based on an ER threshold exceeding the ER score, the packet is moved to a second level of the multi-level data structure, whereby the data packet is queued to be sent to another ground sink. The disclosure further includes using cell towers as ground sinks and/or using them for backhauling with other ground sinks. The flexibility of the disclosure enables large ground sink networks to be established, reducing latency of packet routing.

Abstract: This patent relates to automating network management. One example includes a graph analysis and manipulation tool configured to receive a natural language prompt relating to a network management activity. The graph analysis and manipulation tool is also configured to access a graph resource and to generate code that addresses the network management activity as a graph manipulation task.

Abstract: A computing system including an edge computing device. The edge computing device may include an edge device processor configured to receive edge device contextual data including computing resource availability data. Based at least in part on the edge device contextual data, the edge device processor may select a processing stage machine learning model of a plurality of processing stage machine learning models and construct a runtime processing pipeline of one or more runtime processing stages including the processing stage machine learning model. The edge device processor may receive a runtime input, and, at the runtime processing pipeline, generate a runtime output based at least in part on the runtime input. The edge device processor may generate runtime pipeline metadata that indicates the one or more runtime processing stages included in the runtime processing pipeline. The edge device processor may output the runtime output and the runtime pipeline metadata.

Abstract: A ground station computing system for communicating with a satellite is provided, including a processor and associated memory storing instructions that cause the processor to execute a software-defined radio (SDR) program. The SDR program is configured to receive signals from a plurality of satellites and determine a doppler shift signature pattern of one of the satellites. The SDR program is further configured to detect, within the received signals from the plurality of satellites, packet preambles from the one of the plurality of satellites, based on correlations between portions of the received signals and the doppler shift signature pattern.

Abstract: A wireless networking system is provided. The wireless networking system includes a base station device including processing circuitry configured to detect a transmission rate from a portion of a preamble of an incoming packet transmission signal and adapt a radio configuration to receive a remainder of the incoming packet transmission signal at the transmission rate.

Abstract: A computing device is provided, including a processor configured to receive imaging relevance data for a geographic area. The processor may be further configured to generate, based at least in part on the imaging relevance data, image mask instructions specifying a region of interest included in the geographic area. The processor may be further configured to transmit the image mask instructions to a satellite. The processor may be further configured to receive, from the satellite, filtered satellite image data of the region of interest. One or more deprioritized regions of the geographic area outside the region of interest may be excluded from the filtered satellite image data.

Abstract: The disclosure described herein configures a base station and client devices for communication using dynamic spectrum access within a frequency spectrum that includes selecting, from a list of available channels, a set of channels as active channels. The active channels include uplink channels and downlink channels. An uplink channel and a downlink channel are assigned to a plurality of client devices based on locations the client devices, wherein at least some client devices have active channels in common. Acknowledgements from the subset of client devices having the common active channel are grouped, the acknowledgements containing medium access control (MAC) commands specific to the subset of client devices, where each message of a plurality of messages on the uplink channels is followed by a downlink acknowledgement.

Abstract: A passive communication system includes a first reflector and a modulator unit. The first reflector is disposed at a first location within line of sight of a first satellite. The first satellite is configured to transmit a first signal at a first wavelength. The first reflector includes a reflective surface that reflects at least a portion of the first signal which is incident on the reflective surface back toward the first satellite, and the first satellite includes a detector for measuring reflected signals received at the first satellite. The modulator unit is configured to modulate a reflectivity of the reflective surface of the first reflector between a first reflective state to a second reflective state to adjust the portion of the first signal which is incident on the reflective surface that is reflected back toward the first satellite.

Abstract: The disclosure herein describes transmitting data from a satellite using a ground station configured to both transmit and receive, and a set of ground stations configured to receive data from a satellite. An orbit of the satellite is determined over a schedule period and subset of ground stations configured to receive data and not transmit data to satellite is identified based on the determined orbit of satellite. A transmission schedule associated with the satellite is then generated. For each ground station of the subset, a time interval during which satellite is within communication range is determined, an expected transmission rate is estimated, and time interval and expected transmission rate are included in transmission schedule. The transmission schedule is provided to the satellite via another ground station configured to both transmit and receive, whereby the satellite is configured to transmit data to the subset of ground stations based on transmission schedule.

Abstract: This document relates to solving challenges associated with solving partial differential equations (PDEs) via numerical simulations relating to natural or physical systems. One example obtains input data relating to a physical system and partitions tensors of a neural network across multiple parallel processors. The example distributes the input data across multiple parallel cloud processing resources for numerical simulations involving partial differential equations to produce corresponding output data. The example trains the neural network across the tensors of the multiple parallel processors with the input data and the output data to produce a surrogate model of the partial differential equations. The example can receive subsequent input data and generate corresponding subsequent output data utilizing the surrogate model.

Abstract: A traceability system for a bulk commodity supply chain is provided. The system includes a tracking device, a location determination subsystem, and at least one computing device having at least one processor. The location determination subsystem is configured to determine positional information of the tracking device while placed in a bulk commodity traveling along the bulk commodity supply chain. The processor receives the positional information from the location subsystem, extracts positional values from the positional information, and processes the positional values to identify motion primitives. A modeling tool is applied to the identified motion primitives to produce a positional path of the tracking device, which is output, for example, via a user interface. The positional path represents travel of the bulk commodity along the supply chain.

Abstract: This document relates to accurate quantitative predictions relating to various systems of interest. One example can obtain temporal data relating to a system from a first source and obtain complex events that can affect the system from a second source. The example can train a model iteratively using generative networks that correlate the temporal data from the first source and the complex events from the second source. The example can employ a temporal sequential encoder to control predictions for future temporal data utilizing the trained model.

Abstract: A method for network data communication includes, at a terrestrial computing device, detecting one or more beacon signals from a corresponding one or more orbital communication satellites of a constellation of orbital communication satellites. A transmission probability threshold is adjusted based at least in part on a detected quantity of the one or more orbital communication satellites. Data is transmitted from the terrestrial computing device to the constellation of orbital communication satellites contingent on the transmission probability threshold being satisfied.

Abstract: A computer system that includes a plurality of compute clusters that are located at different geographical locations. Each compute cluster is powered by a local energy source at a geographical location of that compute cluster. Each local energy source has a pattern of energy supply that is variable over time based on an environmental factor. The computer system further includes a server system that executes a global scheduler that distributes virtual machines that perform compute tasks for server-executed software programs to the plurality of compute clusters of the distributed compute platform. To distribute virtual machines for a target server-executed software program, the global scheduler is configured to select a subset of compute clusters that have different complementary patterns of energy supply such that the subset of compute clusters aggregately provide a target compute resource availability for virtual machines for the target server-executed software program.