Abstract: The disclosed technologies are capable of reading ingestion configuration data for a client of a plurality of clients of a graph database, transforming the ingestion configuration data from a declarative representation into a graph representation of the ingestion configuration data, storing the graph representation of the ingestion configuration data in the graph database, providing the graph representation of the ingestion configuration data to a data service, where the data service comprises one or more of (i) a physical grouping of at least one computing device configured to store at least a portion of the graph database, (ii) a logical grouping of at least one computing device configured to store at least a portion of the graph database, or (iii) a combination of (i) and (ii)

Abstract: Embodiments of the present disclosure include techniques for interfacing with superconducting circuits and systems. In one embodiment, the present disclosure includes interface circuitry, including driver circuits and/or receiver circuits to send/receive signals with a superconducting circuit. In another embodiment, the present disclosure includes superconducting circuits and techniques for generating a trigger signal from and external clock that is based on a superconducting resonator. In yet another embodiment, the present disclosure includes superconducting data capture circuits that may be used to couple external data to and/or from superconducting logic.

Abstract: A power-optimized eco-system for tracking a user's health comprises: one or more wearable remote sensors, each wirelessly communicating only with one wearable central sensor; a portable device readily accessible to the user; and a cloud platform. Each sensor is configured to measure data indicative of one or more physiological parameters. The central sensor is configured to receive and subsequently process data measured by each remote sensor, to process data measured by the central sensor, and to generate corresponding instructions. The portable device comprises: a receiver wirelessly receiving the processed data and instructions from the central sensor; a processor running a mobile application handling the processed data and instructions; and a transmitter. The cloud platform is configured to: receive the processed data from the transmitter; analyze the received processed data; and transmit the results of the analysis to at least one of the portable device and an authorized healthcare entity.

Abstract: A device implementing signal validation for secure ranging includes at least one processor configured to obtain a channel estimate based at least in part on a signal received from an other device over a channel. The at least one processor may be further configured to determine an average noise level of a beginning portion of the channel estimate and establish a direct path signal acceptance level for the channel estimate based at least in part on the average noise level. The at least one processor may further configured to identify a candidate direct path signal for the channel in a remaining portion of the channel estimate and validate the candidate direct path signal as a direct path signal for the channel when a signal level corresponding to the candidate direct path signal satisfies the direct path signal acceptance level, otherwise reject the candidate direct path signal as the direct path signal for the channel.

Abstract: A device implementing signal validation for secure ranging includes at least one processor configured to obtain a channel estimate based at least in part on a signal received from an other device over a channel. The at least one processor may be further configured to determine an average noise level of a beginning portion of the channel estimate and establish a direct path signal acceptance level for the channel estimate based at least in part on the average noise level. The at least one processor may further configured to identify a candidate direct path signal for the channel in a remaining portion of the channel estimate and validate the candidate direct path signal as a direct path signal for the channel when a signal level corresponding to the candidate direct path signal satisfies the direct path signal acceptance level, otherwise reject the candidate direct path signal as the direct path signal for the channel.

Abstract: A system for managing an agricultural resource comprising an input module arranged to receive inputs from a plurality of input sources; a central processor arranged in data communication with the input module to generate at least one long term forecast; the central processor further configured to receive inputs from selected input sources at a predetermined time to adjust a parameter of the at least one long term forecast to derive a short term forecast; and an output module arranged in data communication with the central processor to receive the long term forecast and/or the short term forecast for decision control; the output module arranged in data communication with at least one output device, is disclosed.

Abstract: A non-invasive health monitoring system comprises a wearable central sensor and at least one wearable remote sensor in wireless communication, a portable device readily accessible to the user, and a cloud platform. Each sensor collects batches of data indicative of one or more physiological parameters of the user at a physiological parameter-specific frequency, for a pre-defined time window. The central sensor receives and processes the measured data from each sensor, and stores processed data in a memory within the central sensor. The portable device comprises a receiver wirelessly receiving the processed data and instructions from the central sensor; a processor running a mobile application handling the processed data and instructions; and a transmitter. The cloud platform receives the processed data from the transmitter; analyzes the received processed data; and transmits the results to at least one of the portable device and an authorized healthcare entity.

Abstract: Acoustic touch detection (touch sensing) system architectures and methods can be used to detect an object touching a surface. Position of an object touching a surface can be determined using time-of-flight (TOF) bounding box techniques, or acoustic image reconstruction techniques, for example. Acoustic touch sensing can utilize transducers, such as piezoelectric transducers, to transmit ultrasonic waves along a surface and/or through the thickness of an electronic device. Location of the object can be determined, for example, based on the amount of time elapsing between the transmission of the wave and the detection of the reflected wave. An object in contact with the surface can interact with the transmitted wave causing attenuation, redirection and/or reflection of at least a portion of the transmitted wave. Portions of the transmitted wave energy after interaction with the object can be measured to determine the touch location of the object on the surface of the device.

Abstract: A cloud-based analytical platform for health data pattern and trend analysis is configured to: receive, from a transmitter of a portable device, processed data derived from physiological data measurements gathered from sensors worn by a user, the sensors being communicatively coupled to the portable device; analyze the received processed data; and transmit the results of the analysis to at least one of the portable device and an authorized healthcare entity. The analyzing of the received processed data comprises using multi-parameter machine learning algorithms to automatically derive the current state of one or more physiological vital parameters and related health conditions for an individual user; automatically deriving deviations from baseline for each of the one or more physiological vital parameters of the user; and automatically deriving a long-term trend for each of the one or more physiological vital parameters of the user.

Abstract: An eco-system for tracking a user's physiological parameters comprises a central sensor and at least one remote sensor in wireless communication with the central sensor, a portable device readily accessible to the user, and a cloud platform. Each sensor may be worn by the user and measure data indicative of one or more of the physiological parameters. The central sensor may receive and process the measured data from each remote sensor and processes its own measured data. The portable device comprises a receiver wirelessly receiving the processed data and instructions from the central sensor; a processor running a mobile application handling the processed data and instructions; and a transmitter transmitting the processed data. The cloud platform receives the processed data from the transmitter; analyzes the received processed data; and transmits the results of the analysis to at least one of the portable device and an authorized healthcare entity.

Abstract: A personalized adaptive health monitoring system comprises: a wearable central sensor wirelessly communicating with at least one wearable remote sensor, each sensor being configured to measure data indicative of one or more physiological parameters of a user; a portable device, and a cloud platform. The central sensor receives and processes measured data from each remote sensor and processes data measured by the central sensor. The portable device comprises: a receiver wirelessly receiving the processed data from the central sensor; a processor running a mobile application handling the processed data; and a transmitter. The cloud platform receives the processed data from the transmitter; analyzes the received processed data; and transmit results of the analysis to at least one of the portable device and an authorized healthcare entity. Analyzing the received processed data comprises comparing the received processed data with previously received data from the user and/or from other comparable individuals.

Abstract: A power-optimized eco-system for tracking a user's health comprises: one or more wearable remote sensors, each wirelessly communicating only with one wearable central sensor; a portable device readily accessible to the user; and a cloud platform. Each sensor is configured to measure data indicative of one or more physiological parameters. The central sensor is configured to receive and subsequently process data measured by each remote sensor, to process data measured by the central sensor, and to generate corresponding instructions. The portable device comprises: a receiver wirelessly receiving the processed data and instructions from the central sensor; a processor running a mobile application handling the processed data and instructions; and a transmitter. The cloud platform is configured to: receive the processed data from the transmitter; analyze the received processed data; and transmit the results of the analysis to at least one of the portable device and an authorized healthcare entity.

Abstract: A method for controlling transmission power in accordance with a total transmission power limit in a multi-radio wireless communication device including a master radio and a slave radio is provided. The method can include the wireless communication device determining, at the master radio, a transmission power of the master radio. The method can further include the wireless communication device providing information indicative of the transmission power of the master radio from the master radio to the slave radio. The method can additionally include determining, at the slave radio, an allowable transmission power for the slave radio. A sum of the allowable transmission power and the transmission power of the master radio may not exceed the total transmission power limit.

Abstract: A test system may be provided for performing wireless communications testing of electronic devices in a building. The test system may include a mobile cart that transports the device under test to test stations in the building. The test system may include a visible guide track having visible test station indicators. The mobile cart may include an optical sensor for detecting the visible guide track and the visible test station indicators. The mobile cart may transport the device under test to the test stations along the visible guide track. The mobile cart may include a rotating stage to which the device under test may be mounted. The rotating stage may be used to rotate the device under test while the device under test transmits test data to wireless communications equipment in the building during wireless communications testing of the device under test.

Abstract: A method for controlling transmission power in accordance with a total transmission power limit in a multi-radio wireless communication device including a master radio and a slave radio is provided. The method can include the wireless communication device determining, at the master radio, a transmission power of the master radio. The method can further include the wireless communication device providing information indicative of the transmission power of the master radio from the master radio to the slave radio. The method can additionally include determining, at the slave radio, an allowable transmission power for the slave radio. A sum of the allowable transmission power and the transmission power of the master radio may not exceed the total transmission power limit.

Abstract: A test system may include a master test station and slave test stations. The test stations may receive devices under test such as portable wireless electronic devices. Each test station may have adjustable antenna structures coupled to test equipment. The adjustable antenna structures may include antenna support structures on which test antennas are mounted and rail along which the antenna support structures and test antennas are moved by a pneumatic positioner. A rotatable platform may be provided in each test station to support the device under test in that test station. By making a series of over-the-air test measurements in the master test station while adjusting the antenna system and device positioning system, a satisfactory location for the active test antenna and device position may be identified. This configuration may then be used in performing single-point over-the-air tests in the slave test stations.

Abstract: A test system may include a master test station and slave test stations. The test stations may receive devices under test such as portable wireless electronic devices. Each test station may have adjustable antenna structures coupled to test equipment. The adjustable antenna structures may include antenna support structures on which test antennas are mounted and rail along which the antenna support structures and test antennas are moved by a pneumatic positioner. A rotatable platform may be provided in each test station to support the device under test in that test station. By making a series of over-the-air test measurements in the master test station while adjusting the antenna system and device positioning system, a satisfactory location for the active test antenna and device position may be identified. This configuration may then be used in performing single-point over-the-air tests in the slave test stations.

Abstract: Mitigating interference in a mobile wireless communication device by using an estimation of the performance impact of interfering signals generated by a wireless cellular transmitter and received by a co-located wireless local area network receiver. Wireless local area network frequency band usage is modified based on the performance impact estimation and the state of the wireless cellular and wireless local area network connections. The estimation accounts for properties of the wireless cellular transmitter and wireless local area network receiver as well as operational characteristics of the wireless cellular and wireless local area network connections.

Abstract: A method of mitigating interference in a mobile wireless communication device by adaptively adjusting transmit power levels of a wireless cellular transceiver. A receive signal quality for a wireless non-cellular transceiver that includes interference from signals transmitted by the wireless cellular transceiver is estimated. The wireless non-cellular and wireless cellular transceivers are co-located in the mobile wireless communication device, and both transceivers are active. An actual transmit power of the wireless cellular transceiver is adjusted based on the estimated receive signal quality to a level less than a requested transmit power. The estimation of the receive signal quality and the adjusting of the actual transmit power is periodically repeated. The estimation accounts for operational properties of the wireless cellular and non-cellular transceivers as well as operational characteristics of wireless connections through the transceivers.

Abstract: Mitigating interference in a mobile wireless communication device by using an estimation of the performance impact of interfering signals generated by a wireless cellular transmitter and received by a co-located Bluetooth receiver. Bluetooth frequency channels are marked suitable or unsuitable for transmission based on the performance impact estimation and the state of the wireless cellular and Bluetooth connections. The estimation accounts for properties of the wireless cellular transmitter and Bluetooth receiver as well as operational characteristics of the wireless cellular and Bluetooth connections.