Abstract: An unmanned aerial vehicle can be configured to adjust a beam direction, provide path information, act as a base station, act as a cluster head, include an improved directional antenna or array of directional antennas, communicate in a collaboration using belief propagation, receive communications from a serving station aiding in navigation or improved signal performance, or the like.

Abstract: An apparatus, system, and method for multi-frequency oscillator control are provided. A circuit can include a resonator circuit including an input and an output, the resonator circuit configured to resonate at a fundamental frequency and a different, non-fundamental frequency, a startup circuit electrically coupled to the input, the startup circuit configured to generate a signal at about the non-fundamental frequency and detect when the resonator circuit is resonating at the non-fundamental frequency, and an oscillator driver circuit electrically coupled to the output, the oscillator driver circuit configured to amplify and buffer the output of resonator circuit and drive a load.

Abstract: Systems, apparatuses and methods may provide for chip technology including a memory structure having stored weights associated with a machine learning (ML) model, a plurality of digital temperature sensors to generate readings, and a classification engine to retrieve the stored weights from the memory structure and adjust the readings from the plurality of digital temperature sensors based on the weights and electrical parameters associated with the chip.

Abstract: Systems, apparatuses, and methods to identify an electronic control unit transmitting a message on a communication bus, such as an in-vehicle network bus, are provided. ECUs transmit messages by manipulating voltage on conductive lines of the bus. Observation circuitry can observe voltage signals associated with the transmission at a point on the in-vehicle network bus. A distribution can be generated from densities of the voltage signals. ECUs can be identified and/or fingerprinted based on the distributions.

Abstract: Systems, apparatuses, and methods to identify an electronic control unit transmitting a message on a communication bus, such as an in-vehicle network bus, are provided. ECUs transmit messages by manipulating voltage on conductive lines of the bus. Observation circuitry can observe voltage signals associated with the transmission at a point on the in-vehicle network bus. A distribution can be generated from densities of the voltage signals. ECUs can be identified and/or fingerprinted based on the distributions.

Abstract: A method and apparatus to estimate and mitigate platform noise incurred at a wireless device coupled to the platform. A computing device includes a platform including a first processor, a wireless device coupled to the platform, the wireless device including a second processor, and a plurality of antennas coupled to the wireless device. At least one of the first processor or the second processor is configured to determine characteristics of a platform noise incurred at the wireless device in real-time due to utilization of circuitries and processing components on the platform and implement an adaptive real-time and application/context-aware measure to mitigate the platform noise based on the determined characteristics of the platform noise.

Abstract: An electronic device and associated methods are disclosed. In one example, the electronic device includes a MEMS die located within a substrate, and below a processor die. In selected examples, the MEMS die includes a resonator. Example methods of forming MEMS resonator devices are also shown.

Abstract: This disclosure describes systems, methods, and devices related to reducing noise in and improving speech signals and radio signals. A device may identify a radio frequency signal received by radio frequency circuity at a time; apply a Short Time Fourier Transform (STFT) to the radio frequency signal to generate a STFT signal; identify a signal-to-noise ratio associated with the radio frequency signal at the time; identify a packet-error-rate associated with the radio frequency signal at the time; identify activity when the multiplexed radio frequency signal is received by the radio frequency circuity at the time; select, based on the signal-to-noise ratio, the packet-error-rate, and the activity, a spectral mask to be applied to the STFT signal; apply the selected spectral mask to the STFT signal to generate a clean STFT signal; and apply an inverse STFT to the clean STFT signal to generate a clean radio frequency signal.

Abstract: The present disclosure relates to a mobile agent in an RFID system with reduced power consumption and increased localization capabilities. In one aspect, a relay circuit attached to a mobility mechanism such as a drone or robot is in communication with an RFID reader and a backend host computer. The mobile agent moves around a warehouse, for instance, in which landmark RFID tags are arranged. The mobile agent can transmit with an adjustable power to identify a single landmark tag and associate it with object tags of one or more objects within the range of the mobile agent. The host computer can communicate with the mobile agent to instruct it to adjust its power when multiple landmark tags are detected.

Abstract: Technologies for dynamic wireless noise mitigation include a computing device having a wireless modem and one or more antennas. The computing device activates one or more components of the computing device, monitors platform activity, and measures wireless noise received by the antennas. The computing device trains a noise prediction model based on the platform activity and the measured noise. The computing device may monitor platform activity and predict a noise prediction with the noise prediction model based on the monitored activity. The computing device may mitigate wireless noise received by the wireless antennas based on the noise prediction. The computing device may provide the noise prediction to the wireless modem. Other embodiments are described and claimed.

Abstract: An unmanned aerial vehicle can be configured to adjust a beam direction, provide path information, act as a base station, act as a cluster head, include an improved directional antenna or array of directional antennas, communicate in a collaboration using belief propagation, receive communications from a serving station aiding in navigation or improved signal performance, or the like.

Abstract: Systems, apparatuses, and methods to identify an electronic control unit transmitting a message on a communication bus, such as an in-vehicle network bus, are provided. ECUs transmit messages by manipulating voltage on conductive lines of the bus. Observation circuitry can observe voltage signals associated with the transmission at a point on the in-vehicle network bus. A distribution can be generated from densities of the voltage signals. ECUs can be identified and/or fingerprinted based on the distributions.

Abstract: Technologies for dynamic wireless noise mitigation include a computing device having a wireless modem and one or more antennas. The computing device activates one or more components of the computing device, monitors platform activity, and measures wireless noise received by the antennas. The computing device trains a noise prediction model based on the platform activity and the measured noise. The computing device may monitor platform activity and predict a noise prediction with the noise prediction model based on the monitored activity. The computing device may mitigate wireless noise received by the wireless antennas based on the noise prediction. The computing device may provide the noise prediction to the wireless modem. Other embodiments are described and claimed.

Abstract: Techniques for determining the spectral content of a data bus are described herein. An example of a device in accordance with the present techniques includes a data bus comprising one or more signal lines, a first phasor generator, and a second phasor generator. The first phasor generator obtains a first data value based on the data to be transmitted over the data bus and generates a first phasor. The second phasor generator obtains a second data value based on the data to be transmitted over the data bus and generates a second phasor. The sum of the first phasor and the second phasor indicate, at least in part, the spectral content of the data to be transmitted over the data bus.

Abstract: Techniques for determining the spectral content of a data bus are described herein. An example of a device in accordance with the present techniques includes a data bus comprising a plurality of signal lines, a first phasor generator, and a second phasor generator. The first phasor generator obtains a first pulse sample based on the data to be transmitted over the data bus and generates a first phasor. The second phasor generator to obtain a second pulse sample based on the data to be transmitted over the data bus and generates a second phasor. The sum of the first phasor and the second phasor indicate, at least in part, the spectral content of the data to be transmitted over the data bus.