Abstract: A computer implemented method includes turning off a sensor, receiving fall curve data from the sensor, and comparing the received fall curve data to a set of fall curve signatures to identify the sensor or a sensor fault.

Abstract: An imaging system that includes a camera mounted on an aerial platform, for example a balloon, allows a user to increase the longevity of the camera's battery by remote control. A user may capture imagery at a time scale of interest and desired power consumption by adjusting parameters for image capture by the camera. A user may adjust a time to capture an image, a time to capture a video, or a number of cycles per time period to capture one or more images as the aerial platform moves in a region of interest to change power consumption for imaging. The system also provides imaging alignment to account for unwanted movement of the aerial platform when moved in the region of interest. Additionally, a mounting device is provided that is simple and inexpensive, and that allows a camera to remain positioned in a desired position relative to the ground.

Abstract: A soil measurement system is provided, comprising a soil surveying device, a radio receiver, a plurality of subterranean antennas, and a processor. The soil surveying device comprises a wireless radio transmitter configured to emit a wireless signal at a predetermined bandwidth in a predetermined spectrum. The plurality of subterranean antennas are in an array electronically connected to the radio receiver and configured to be mounted in a subterranean environment at different depths in the subterranean environment. Each of the plurality of subterranean antennas is configured to receive the wireless signal at a respective point in time. The processor is configured to determine a relative time of flight of the received wireless signal between the plurality of antennas at the respective point in time, and estimate a soil permittivity based on the determined relative time of flight. The measurement system may be applied to materials other than soil, in some examples.

Abstract: A computing device (such as a computer gaming console) uses only a single radio to concurrently communicate with a wireless network access point and wireless client devices such as game controllers or peripherals. To establish and maintain both a high-throughput link with the access point, and a low-latency link with the client device(s), the single Wi-Fi radio of the computing device is configured to periodically switch between a channel used for the high-throughput link and a different channel that is used for the low-latency link—thus implementing a combination of frequency division multiplexing (FDM) and time division multiplexing (TDM). The console may use aspects of the Wi-Fi protocol standard to ensure that periodically switching its single radio between the two channels is accomplished while maintaining reliable communication on both channels.

Abstract: A device can include control channel receiver circuitry to receive airborne vehicle control channel packets, decode circuitry to determine contents of the airborne vehicle control channel packets, transceiver circuitry to provide uplink to and receive downlink data from an airborne vehicle, processing circuitry, and a program for execution by the processing circuitry to perform operations comprising determining, based on data from the receiver circuitry, a received signal strength (RSS) of a signal from each of a plurality of airborne vehicles, determining, for each of the airborne vehicles and based on decoded data from the decode circuitry, a length of time the airborne vehicle will be within transmission range of the transceiver circuitry, determining, for each of the airborne vehicles and based on the determined RSS, determined length of time, and a determined bit-rate, an association metric, and causing association with the airborne vehicle associated with the greatest association metric.

Abstract: Various methods and systems for implementing resource management for an infrastructure are provided. Resource management includes datacenter byproduct management interfaces, datacenter power management, datacenter operations optimization and infrastructure resource management. Resource management facilitates using and distributing physical resources, including incidental physical resources that are generated during operation of an infrastructure, based on a minimum threshold reserve of the physical resource associated with the operating the infrastructure. Resource management can include controlling an amount of the physical resource that is generated and an amount the physical resource that is reserved. The minimum threshold reserve in combination with the control over generating and reserving the physical resource help identify an allocable amount of the physical resource. Physical resources of an infrastructure are quantified to support resource management.

Abstract: An imaging system that includes a camera mourned on an aerial platform, for example a balloon, allows a user to increase the longevity of the camera's battery by remote control. A user may capture imagery at a time scale of interest and desired power consumption by adjusting parameters for image capture by the camera. A user may adjust a time to capture an image, a time to capture a video, or a number of cycles per time period to capture one or more images as the aerial platform moves in a region of interest to change power consumption for imaging. The system also provides imaging alignment to account for unwanted movement of the aerial platform when moved in the region of interest. Additionally, a mounting device is provided that is simple and inexpensive, and that allows a camera to remain positioned in a desired position relative to the ground.

Abstract: The disclosed subject matter includes techniques for wireless communication. In one example, a system includes a processor and a computer-readable memory storage device for storing executable instructions that can be executed by the processor to cause the processor to send a data frame to a client device. The processor can also receive a data-acknowledgment frame from the client device in response to the data frame within a predetermined time after sending the data frame. The processor can also aggregate a response data-acknowledgment frame in response to receiving the data-acknowledgment frame with at least one data frame to form an aggregated frame. The processor can also further send the aggregated frame to the client device and the at least one other client device within the predetermined time after receiving the data-acknowledgement frame.

Abstract: A computing device has an energy storage device system with multiple energy storage devices. Various different criteria are used to determine which one or more of the multiple energy storage devices to charge or discharge at any given time to provide power to the computing device. The criteria can include characteristics of the energy storage devices as well as hardware and/or physical characteristics of the computing device, characteristics of the energy storage devices and/or the computing device that change while the computing device operates, and predicted behavior or usage of the computing device. These criteria are evaluated during operation of the computing device, and the appropriate energy storage device(s) from which to draw power or to charge at any given time based on these criteria are determined.

Abstract: A computing device (such as a computer gaming console) uses only a single radio to concurrently communicate with a wireless network access point and wireless client devices such as game controllers or peripherals. To establish and maintain both a high-throughput link with the access point, and a low-latency link with the client device(s), the single Wi-Fi radio of the computing device is configured to periodically switch between a channel used for the high-throughput link and a different channel that is used for the low-latency link—thus implementing a combination of frequency division multiplexing (FDM) and time division multiplexing (TDM). The console may use aspects of the Wi-Fi protocol standard to ensure that periodically switching its single radio between the two channels is accomplished while maintaining reliable communication on both channels.

Abstract: A computing device has an energy storage device system with multiple energy storage devices. Various different criteria are used to determine which one or more of the multiple energy storage devices to discharge at any given time to provide power to the computing device. The criteria can include characteristics of the energy storage devices as well as hardware and/or physical characteristics of the computing device, characteristics of the energy storage devices and/or the computing device that change while the computing device operates, and predicted behavior or usage of the computing device. These criteria are evaluated during operation of the computing device, and the appropriate energy storage device(s) from which to draw power at any given time based on these criteria are determined.

Abstract: A computing device (such as a computer gaming console) uses only a single radio to concurrently communicate with a wireless network access point and wireless client devices such as game controllers or peripherals. To establish and maintain both a high-throughput link with the access point, and a low-latency link with the client device(s), the single Wi-Fi radio of the computing device is configured to periodically switch between a channel used for the high-throughput link and a different channel that is used for the low-latency link—thus implementing a combination of frequency division multiplexing (FDM) and time division multiplexing (TDM). The console may use aspects of the Wi-Fi protocol standard to ensure that periodically switching its single radio between the two channels is accomplished while maintaining reliable communication on both channels.

Abstract: A method can include generating a feature vector based on image data and soil data, the image data of an image of the geographical region produced by an aerial vehicle, the image data representative of an attribute of the attributes of the soil or foliage, and the soil data indicating physical characteristics of soil of cells within the geographical region, producing a matrix including entries indicating how similar the cells are in terms of the image data and the soil data based on the feature vector, and producing based on the matrix, data indicating a cluster of clusters to which each cell of the cells belongs, each cell more similar to other cells of the cluster to which they belong than cells of other clusters, each cluster indicating a location at which to situate a sensor of the sensors to monitor the attribute.

Abstract: A method can include receiving sensor data from at least three different types of sensor situated in the geographic area, the types of sensors including an air temperature sensor, relative humidity sensor, dewpoint sensor, soil moisture sensor, soil temperature sensor, average wind speed sensor, maximum wind speed sensor, and a rainfall sensor, producing a feature vector including a time series of values corresponding to the received sensor data, and using a neural network, estimating the physical characteristics, the physical characteristics including at least one of (a) a leaf wetness, (b) a solar radiation, (c) an evapotranspiration, (d) a future soil moisture, and (e) a future soil temperature.

Abstract: The techniques described herein reduce a rate at which a mobile device consumes energy when receiving, processing and storing data events (e.g., emails, instant messages, social networking messages and notifications, etc.). In various embodiments, the techniques may be implemented in accordance with a connected standby mode of operation for the mobile device. Therefore, the techniques may decouple data reception from data processing when exchanging data events in the connected standby mode. In various embodiments, the techniques may store persistent memory operations for multiple data events in a temporary cache and process the stored persistent memory operations as a batch (e.g., perform the persistent memory operations together). In various embodiments, the techniques may partition data storage space allocated for data communications applications on the mobile device.

Abstract: A computing device has an energy storage device system with multiple energy storage devices. Various different criteria are used to determine which one or more of the multiple energy storage devices to discharge at any given time to provide power to the computing device. The criteria can include characteristics of the energy storage devices as well as hardware and/or physical characteristics of the computing device, characteristics of the energy storage devices and/or the computing device that change while the computing device operates, and predicted behavior or usage of the computing device. These criteria are evaluated during operation of the computing device, and the appropriate energy storage device(s) from which to draw power at any given time based on these criteria are determined.

Abstract: Various methods and systems for implementing resource management for an infrastructure are provided. Resource management includes datacenter byproduct management interfaces, datacenter power management, datacenter operations optimization and infrastructure resource management. Resource management facilitates using and distributing physical resources, including incidental physical resources that are generated during operation of an infrastructure, based on a threshold reserve of the physical resource associated with the operating the infrastructure. Resource management can include controlling an amount of the physical resource that is generated and an amount the physical resource that is reserved. The threshold reserve in combination with the control over generating and reserving the physical resource help identify an allocable amount of the physical resource. Physical resources of an infrastructure are quantified to support resource management.

Abstract: Various methods and systems for implementing resource management for an infrastructure are provided. Resource management includes datacenter byproduct management interfaces, datacenter power management, datacenter operations optimization and infrastructure resource management. Resource management facilitates using and distributing physical resources, including incidental physical resources that are generated during operation of an infrastructure, based on a minimum threshold reserve of the physical resource associated with the operating the infrastructure. Resource management can include controlling an amount of the physical resource that is generated and an amount the physical resource that is reserved. The minimum threshold reserve in combination with the control over generating and reserving the physical resource help identify an allocable amount of the physical resource. Physical resources of an infrastructure are quantified to support resource management.

Abstract: A device can include control channel receiver circuitry to receive airborne vehicle control channel packets, decode circuitry to determine contents of the airborne vehicle control channel packets, transceiver circuitry to provide uplink to and receive downlink data from an airborne vehicle, processing circuitry, and a program for execution by the processing circuitry to perform operations comprising determining, based on data from the receiver circuitry, a received signal strength (RSS) of a signal from each of a plurality of airborne vehicles, determining, for each of the airborne vehicles and based on decoded data from the decode circuitry, a length of time the airborne vehicle will be within transmission range of the transceiver circuitry, determining, for each of the airborne vehicles and based on the determined RSS, determined length of time, and a determined bit-rate, an association metric, and causing association with the airborne vehicle associated with the greatest association metric.

Abstract: Systems, methods, and computer-executable instructions for scheduling neural network workloads on an edge device. A performance model for each neural network model is received. Parameters for each neural network workload is determined based on an associated performance model. Processing core assignments are determined from a plurality of processing cores for each neural network workload based on the corresponding performance model and processing core utilization. Image streams are received and associated with a neural network workload. Each neural network workload is scheduled to run on the processing cores based on the processing core assignments.