Abstract: The invention is generally directed to systems and methods of monitoring or predicting a service event for an industrial asset using an artificial intelligence of things (AIoT) system including an AIoT device, AIoT cloud, and a self-learning AI classification and analytics engine. The device may include one or more sensors and an inference engine for reducing power consumption and detecting anomalies at the edge and sending data associated with anomalies to a signal processor for classification and AI-driven automatic configuration. Classification may be based on narrow-band analysis and/or machine learning models. If an anomaly is detected power may be provided to a communication module to send sensor data to the signal processor for classification and/or further processing. Classifications or determinations made by the signal processor or detected through a work-order system may be used to automatically retrain the inference model on the edge, so that the system is self-learning.

Abstract: A method includes receiving a sequence of acoustic frames characterizing one or more utterances as input to a multilingual automated speech recognition (ASR) model. The method also includes generating a higher order feature representation for a corresponding acoustic frame. The method also includes generating a hidden representation based on a sequence of non-blank symbols output by a final softmax layer. The method also includes generating a probability distribution over possible speech recognition hypotheses based on the hidden representation generated by the prediction network at each of the plurality of output steps and the higher order feature representation generated by the encoder at each of the plurality of output steps. The method also includes predicting an end of utterance (EOU) token at an end of each utterance. The method also includes classifying each acoustic frame as either speech, initial silence, intermediate silence, or final silence.

Abstract: The invention is generally directed to systems and methods of monitoring or predicting a service event for an industrial asset using an artificial intelligence of things (AIoT) system including an AIoT device, AIoT cloud, and a self-learning AI classification and analytics engine. The device may include one or more sensors and an inference engine for reducing power consumption and detecting anomalies at the edge and sending data associated with anomalies to a signal processor for classification and AI-driven automatic configuration. Classification may be based on narrow-band analysis and/or machine learning models. If an anomaly is detected power may be provided to a communication module to send sensor data to the signal processor for classification and/or further processing. Classifications or determinations made by the signal processor or detected through a work-order system may be used to automatically retrain the inference model on the edge, so that the system is self-learning.

Abstract: An example embodiment includes an apparatus. The apparatus includes piconet logic for establishing a multi-level piconet hierarchy having a top level piconet and a lower level piconet(s). The top level piconet includes a master device and master controller(s). The lower level piconet includes master controllers(s) and sub-controller(s). The apparatus includes time division multiplexing logic to solicit and control aggregated communication with master controllers. The aggregated communication comprises data from the master controller and data from a sub-controller(s).

Abstract: Systems and methods are disclosed for heart rate measurement using a plurality of acoustic sensors in a wearable device.

Abstract: An integrated circuit for controlling a gain of an LNA to be applied to (i) a first signal from a first communication device, and (ii) a second signal from a second communication device, wherein (i) the first signal conforms to a first communication protocol, and (ii) the second signal conforms to a second communication protocol, includes LNA gain adaptation hardware. The LNA gain adaptation hardware is configured to determine a first signal strength indicator corresponding to a signal strength of the first signal, determine a second signal strength indicator corresponding to a signal strength of the second signal, and control the gain of the LNA based on at least (i) the first signal strength indicator and (ii) the second signal strength indicator.

Abstract: A method includes, in at least one aspect, switching a mode of operation of a wireless communication device from a first transmission mode to a second transmission mode, wherein the first transmission mode supports transmission of packets comprising header information in accordance with a communication protocol specified for the first transmission mode, and the second transmission mode supports transmission of real-time data packets that do not contain the header information in accordance with the communication protocol specified for the first transmission mode; and configuring a transmission parameter associated with the wireless communication device for operation in the second transmission mode for transmission of a real-time data packet containing real-time data.

Abstract: A first device is configured to operate as a media transmitter or a media receiver. The first device includes a memory configured to store a playlist of media files accessible to the first device. An output circuit is configured to receive the playlist from one or more second devices. Responsive to a first media file in the playlist being stored in the first device, the first device is configured to operate as a media transmitter and control transmitting of the first media file from the first device to the one or more second devices. Responsive to the first media file not being stored in the first device, the first device is configured to transfer control of transmitting from the first device to a selected one of the second devices, and operate as a media receiver to receive the first media file from the selected one of the second devices.

Abstract: Apparatus having corresponding computer-readable media comprise: a first transceiver, wherein the first transceiver includes a receiver configured to receive a first message from a first device, wherein the first message includes a location of the first device, and a transmitter configured to transmit a second message, wherein the second message includes the location of the first device, and a request for a frequency allocation based on the location of the first device; wherein the receiver is further configured to receive a third message, wherein the third message includes the frequency allocation; and a second transceiver configured to wirelessly communicate on a frequency band indicated by the frequency allocation.

Abstract: In at least one aspect, a system includes a wireless client and a server. The wireless client generates a congestion quality metric based on a number of packet transmission retries and a received signal strength. The server generates configuration data for configuring one or more transmission parameters of the wireless client based on the congestion quality metric, and the wireless client configures the one or more transmission parameters according to the configuration data.

Abstract: An integrated circuit for controlling a gain of an LNA to be applied to (i) a first signal from a first communication device, and (ii) a second signal from a second communication device, wherein (i) the first signal conforms to a first communication protocol, and (ii) the second signal conforms to a second communication protocol, includes LNA gain adaptation hardware. The LNA gain adaptation hardware is configured to determine a first signal strength indicator corresponding to a signal strength of the first signal, determine a second signal strength indicator corresponding to a signal strength of the second signal, and control the gain of the LNA based on at least (i) the first signal strength indicator and (ii) the second signal strength indicator.

Abstract: Systems, methods, and other embodiments associated with radio coexistence using clock rate adaptation are described. According to one embodiment, a device includes a system bus configured to transmit and receive data at a clock rate. The device also includes a radio logic configured to receive radio frequency signals. The device further includes a clock logic configured to adjust the clock rate of the system bus when the radio logic is receiving the radio frequency signals.

Abstract: In one aspect, a method for communicating with a wireless communication system through a wireless client includes associating a wireless client with a wireless communication system; at the wireless client, receiving one or more real time data packets transmitted from the wireless communication system, each real time data packet containing real time data; and sending an acknowledgement (ACK) packet for each real time data packet correctly received by the wireless client.

Abstract: A first device having a corresponding method and computer program comprises a storage device to store a first media file of data; a memory to store a playlist comprising a first pointer to the first media file of the first data, and at least one second pointer to at least one second media file of second data stored on one or more second devices; and an output circuit to transmit the playlist and portions of the first media file of the first data.

Abstract: An example embodiment includes an apparatus. The apparatus includes piconet logic for establishing a multi-level piconet hierarchy having a top level piconet and a lower level piconet(s). The top level piconet includes the apparatus and a master controller(s). The apparatus is a master device in the top level piconet. Master controllers are slave devices in the top level piconet. A lower level piconet includes a master controller and a sub-controller(s). Master controllers are masters in the lower level piconet. Sub-controllers are slave devices in the lower level piconet. The apparatus includes time division multiplexing logic to solicit and control aggregated communication with master controllers. The aggregated communication comprises data from the master controller and data from a sub-controller(s). The apparatus includes de-aggregation logic to receive the aggregated communication and to separate data.

Abstract: A first low noise amplifier (LNA) applies a gain to both (a) signals conforming to a first communication protocol and (b) signals conforming to a second communication protocol. A second LNA applies a gain to the signals conforming to the first communication protocol. A third LNA applies a gain to the signals conforming to the second communication protocol is provided. A first signal strength indicator corresponding to a signal strength of a first signal, conforming to the first communication protocol, is determined. A second signal strength indicator corresponding to a signal strength of a second signal, conforming to the second communication protocol, is determined. The gain of the first LNA is controlled based on (i) the first signal strength indicator and ii) the second signal strength indicator. The gains of the second and third LNAs are controlled based on the first and second signal strength indicators, respectively.

Abstract: Apparatus having corresponding computer-readable media comprise: a first transceiver, wherein the first transceiver includes a receiver configured to receive a first message from a first device, wherein the first message includes a location of the first device, and a transmitter configured to transmit a second message, wherein the second message includes the location of the first device, and a request for a frequency allocation based on the location of the first device; wherein the receiver is further configured to receive a third message, wherein the third message includes the frequency allocation; and a second transceiver configured to wirelessly communicate on a frequency band indicated by the frequency allocation.

Abstract: A method and system for controlling a gain of a low noise amplifier to be applied to i) a first signal from a first communication device, and ii) a second signal from a second communication device, in which i) the first signal conforms to a first communication protocol, and ii) the second signal conforms to a second communication protocol. The method includes determining a first signal strength indicator corresponding to a signal strength of the first signal; determining a second signal strength indicator corresponding to a signal strength of the second signal; and controlling the gain of the low noise amplifier based on at least i) the first signal strength indicator and ii) the second signal strength indicator.

Abstract: Methods, apparatus, and computer programs for configuring one or more transmission parameters of a wireless client in a wireless local area network (WLAN) are provided. In one implementation, the methods include receiving capability information from a wireless client, generating a configuration table including at least one selectable configuration option corresponding to the capability information of the wireless client, receiving user input selecting a configuration option within the configuration table, and generating and sending a configuration packet to the wireless client. The configuration packet contains configuration data for configuring one or more transmission parameters of the wireless client based on the selected configuration option.

Abstract: An apparatus and method for receiving wireless signals couples an antenna input of a receiver to a human body and receives a signal conducting from said body. Impedance matching circuitry lessens signal power loss at the antenna input. Parameters of the impedance matching circuitry can be adjusted based on a detected impedance, a detected signal strength, or the frequency of the signal.