Abstract: Disclosed herein are devices, systems, and methods for detecting and classifying the proximity of a human to a wireless antenna. The device may include a processor configured to receive information representing an incident wave and a reflected wave of a transmission on the wireless antenna. The processor may also be configured to analyze the information using one or more classification models, wherein each of the one or more classification models comprise a machine-learning-based classifier that determines, based on the information, whether the object is within a threshold proximity to the wireless antenna, a classification of the object, and/or a separation-distance between the wireless antenna and the object.

Abstract: Real-time two-way communication between a user immersed in a virtual reality (VR) environment and another party who is not in the VR environment. The sequence of video frames being presented to the VR user on, e.g., a head mounted display, i.e., the VR user's “field of view” in the VR environment, is shown to a guest user on their computing device. Simultaneously, video from a camera in a guest user computing device is shown to the VR user in a window in the VR environment. Audio is also exchanged in real time between the VR user and guest user by use of a microphone and loudspeaker in both the VR system and the guest user computing device. The VR user's system can also support both rotational and translational user movement thus properly changing the VR user's apparent distance from objects displayed in the VR environment.

Abstract: Various principles and methods are described herein to improve wireless communication in a user computing device. Certain aspects of the disclosure describe management of wireless transmissions relative to various regulations related to a specific absorption rate. Other aspects of the disclosure relate to detection of user proximity to a transmitting antenna. Other aspects relate to alternative strategies to improve wireless communication, such as selection of alternate antennas or baseband modems, or changes in device orientation.

Abstract: Disclosed herein are devices, methods, and systems for adjusting transmit properties based on compliance metrics for human exposure to radiation. As one example, the system determines a first transmission power limit associated with transmissions on a first radio resource, wherein the first transmission power limit is based on a first compliance level threshold of human exposure to emitted radiation when using the first radio resource. The system determines a second transmission power limit associated with transmissions on a second radio resource, wherein the second transmission power limit is based on a second compliance level threshold of human exposure to emitted radiation when transmitting using the second radio resource. The system also controls a wireless device to select either the first radio resource or the second radio resource for a transmission from the wireless device based on the first transmission power limit and the second transmission power limit.

Abstract: Devices with radiating antennas are subject to various regulations designed to limit the absorption of radiofrequency energy in a human body part in close proximity to a radiating antenna. Various conventional strategies are available for management of transmissions to comply with these regulations; however, each of these conventional strategies has drawbacks, such as a negative effect on the wireless link. Various strategies are disclosed herein to comply with the requisite regulations while maintaining the wireless link. In addition, strategies are presented to select wireless link rates, taking into account limitations that may be in place to satisfy the necessary regulations.

Abstract: An apparatus for generating a data signal comprises a processing circuit configured to generate the data signal, the data signal comprising a sequence of a first signal edge of a first type, a second signal edge of a second type, and a third signal edge of the first type, the first signal edge and the second signal edge being separated by a first time period corresponding to first data to be transmitted, and the second signal edge and the third signal edge being separated by a second time period corresponding to second data to be transmitted. An output interface circuit is configured to output the data signal.

Abstract: A method and apparatus for reducing magnetic tracking error in the position and orientation determined in a magnetic tracking system having a magnetic field generator. In some embodiments, the measured position and orientation of a sensor is compared to an expected theoretical position and orientation. Any error is assumed to be from “floor distortion,” i.e., eddy currents in the floor caused by the magnetic field generated by the magnetic field transmitter. The floor distortion is modeled as being caused by eddy currents caused by a second magnetic field transmitter that is a reflection of the actual transmitter. An algorithm iteratively searches over a parameter space to minimize the difference between the measured position and orientation and the theoretical position and orientation, and applies a correction to the measured position and orientation. The measurements and corrections of the position and orientation run in real-time with no additional hardware or calibration required.

Abstract: A computer-implemented method of generating a security language query from a user input query includes receiving, at a computer system, an input security hunting user query indicating a user intention; selecting, using a trained machine learning model and based on the input security hunting query, an example user security hunting query and corresponding example security language query; generating, using the trained machine learning model, query metadata from the input security hunting query; generating a prompt, the prompt comprising: the input security hunting user query; the selected example user security hunting query and the corresponding example security language query; and the generated query metadata; inputting the prompt to a large language model; receiving a security language query from the large language model corresponding to the input security hunting query reflective of the user intention.

Abstract: Some demonstrative embodiments may include an apparatus including a Hybrid Automatic Repeat Request (HARQ) buffer configured to buffer compressed Log Likelihood Ratio (LLR) values corresponding to an unsuccessfully-decoded transmission of a data block, a bit size of the HARQ buffer is equal to or less than 2.5 times a supported HARQ receive (Rx) size, which is to be reported to a transmitter of the data block; and a decoder configured to decode a retransmission of the data block according to the HARQ scheme based on combined LLR values, which are based on the compressed LLR values and on LLR values corresponding the retransmission of the data block, wherein a HARQ gain of decoding the retransmission of the data block based on the combined LLR values is at least 2 Decibel (dB) for an Additive White Gaussian Noise (AWGN) channel.

Abstract: In various aspects, a radio frequency circuit is provided. The radio frequency circuit may include a substrate that may include a radio frequency front-end to antenna (RF FE-to-Ant) connector. The RF FE-to-Ant connector may include a conductor track structure and a substrate connection structure coupled to the conductor track structure. The substrate may include radio frequency front-end circuitry monolithically integrated in the substrate. The substrate connection structure may include at least one of a solderable structure, a weldable structure, or an adherable structure. The substrate connection structure may be configured to form at least one radio frequency signal interface with an antenna circuit connection structure of a substrate-external antenna circuit. The substrate may include an edge region. The substrate connection structure may be disposed in the edge region.

Abstract: Some embodiments help protect an organization against ransomware attacks by combining incrimination logics. An organizational-level incrimination logic helps detect alert spikes across many machines, which collectively indicate an attack. Graph-based incrimination logics help detect infestations of even a few machines, and local incrimination logics focus on protecting respective individual machines. Graph-based incrimination logics may compare monitored system graphs to known ransomware attack graphs. Graphs may have devices as nodes and device network connectivity, repeated files, repeated processes or actions, or other connections as edges. Statistical analyses and machine learning models may be employed as incrimination logics. Search logics may find additional incrimination candidates that would otherwise evade detection, based on files, processes, IP addresses, devices, accounts, or other computational entities previously incriminated.

Abstract: In various aspects of this disclosure, a communication device is provided. The communication device may include a first radiohead circuit including a first transceiver chain configured to transmit a first radio frequency signal associated with a first transmission configuration and to transmit a second radio frequency signal associated with a second transmission configuration a second radiohead circuit comprising a second transceiver chain configured to receive the first radio frequency signal and the second radio frequency signal, and one or more processors configured to determine a first signal parameter associated with the first radio frequency signal received at the second transceiver chain and a second signal parameter associated with the second radio frequency signal received at the second transceiver chain, and to determine a preferred transmission configuration for the first transceiver chain by using the first signal parameter and the second signal parameter.

Abstract: For example, an apparatus may include a Body Proximity Sensor (BPS) configured to detect proximity of a wireless communication device to a human body based on wireless communication signals communicated by the wireless communication device. For example, the BPS may include an input to receive loopback information of a Receive (Rx) loopback signal, the Rx loopback signal including a wireless Rx signal received by a receiver of the wireless communication device based on a loopback of a wireless transmit (Tx) signal transmitted by a transmitter of the wireless communication device; and a processor configured to determine a detection result based on the loopback information, the detection result to indicate a detected proximity of the wireless communication device to the human body.

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 apparatus for generating a data signal comprises a processing circuit configured to generate the data signal, the data signal comprising a sequence of a first signal edge of a first type, a second signal edge of a second type, and a third signal edge of the first type, the first signal edge and the second signal edge being separated by a first time period corresponding to first data to be transmitted, and the second signal edge and the third signal edge being separated by a second time period corresponding to second data to be transmitted. An output interface circuit is configured to output the data signal.

Abstract: A method and apparatus for reducing magnetic tracking error in the position and orientation determined in a magnetic tracking system having a magnetic field generator. In some embodiments, the measured position and orientation of a sensor is compared to an expected theoretical position and orientation. Any error is assumed to be from “floor distortion,” i.e., eddy currents in the floor caused by the magnetic field generated by the magnetic field transmitter. The floor distortion is modeled as being caused by eddy currents caused by a second magnetic field transmitter that is a reflection of the actual transmitter. An algorithm iteratively searches over a parameter space to minimize the difference between the measured position and orientation and the theoretical position and orientation, and applies a correction to the measured position and orientation. The measurements and corrections of the position and orientation run in real-time with no additional hardware or calibration required.

Abstract: Real-time two-way communication between a user immersed in a virtual reality (VR) environment and another party who is not in the VR environment. The sequence of video frames being presented to the VR user on, e.g., a head mounted display, i.e., the VR user's “field of view” in the VR environment, is shown to a guest user on their computing device. Simultaneously, video from a camera in a guest user computing device is shown to the VR user in a window in the VR environment. Audio is also exchanged in real time between the VR user and guest user by use of a microphone and loudspeaker in both the VR system and the guest user computing device. The VR user's system can also support both rotational and translational user movement thus properly changing the VR user's apparent distance from objects displayed in the VR environment.

Abstract: Real-time two-way communication between a user immersed in a virtual reality (VR) environment and another party who is not in the VR environment. The sequence of video frames being presented to the VR user on, e.g., a head mounted display, i.e., the VR user's “field of view” in the VR environment, is shown to a guest user on their computing device. Simultaneously, video from a camera in a guest user computing device is shown to the VR user in a window in the VR environment. Audio is also exchanged in real time between the VR user and guest user by use of a microphone and loudspeaker in both the VR system and the guest user computing device. The VR user's system can also support both rotational and translational user movement thus properly changing the VR user's apparent distance from objects displayed in the VR environment.

Abstract: Some demonstrative embodiments may include an apparatus including a Hybrid Automatic Repeat Request (HARQ) buffer configured to buffer compressed Log Likelihood Ratio (LLR) values corresponding to an unsuccessfully-decoded transmission of a data block, a bit size of the HARQ buffer is equal to or less than 2.5 times a supported HARQ receive (Rx) size, which is to be reported to a transmitter of the data block; and a decoder configured to decode a retransmission of the data block according to the HARQ scheme based on combined LLR values, which are based on the compressed LLR values and on LLR values corresponding the retransmission of the data block, wherein a HARQ gain of decoding the retransmission of the data block based on the combined LLR values is at least 2 Decibel (dB) for an Additive White Gaussian Noise (AWGN) channel.

Abstract: A method and apparatus for reducing magnetic tracking error in the position and orientation determined in an electromagnetic tracking system is disclosed. In some embodiments, a corrected position and orientation is blended with an uncorrected position and orientation based upon the calculated probability of each. To determine a corrected position and orientation, data from an IMU in the receiver is used to obtain a constraint on the orientation. In other embodiments, the amount of detected error due to electromagnetic distortion is measured. Any error is first assumed to be from “floor distortion,” and a correction is applied. If the error is still deemed too great, a constraint is again obtained from IMU data. Using this constraint, another correction for the distortion is made. The solution from this correction may be blended with a standard solution and the solution from the floor distortion to arrive at a final solution.