Abstract: Ranging operations may be performed between an initiator device and a responder device using data frames as opposed to fine timing measurement (FTM) frames or Null Data Packet (NDP) frames. An initiator device may request the responder device to perform a ranging operation. The responder device may transmit a data frame to the initiator device and may receive an acknowledgement (ACK) frame from the responder device. The responder device may transmit a second data frame to the initiator device that includes ranging measurement information for the previous message exchange, including a time of departure of the data frame and a time of arrival of the ACK frame. Because data frames are encrypted, the ranging measurement information is provided in a secure manner. Moreover, by including the ranging measurement information in data frames, throughput for the ranging procedure is improved.

Abstract: Embodiments described herein address these and other issues by providing radio frequency (RF) sensing to determine the status of a driver or other occupant of the vehicle. RF sensing may be provided by existing radios of a vehicle, such a Wi-Fi transceiver, and may therefore provide RF sensing functionality to a vehicle with little added cost. RF sensing can be leveraged to implement safety features such as detecting an unattended child or pet in a vehicle, detecting driver alertness, and the like.

Abstract: Techniques are provided for improving ranging accuracy of ultrawideband (UWB) devices. An example method for obtaining a distance measurement with a wireless node includes obtaining a first distance measurement using a first radio link, determining a status of a second radio link in response to the first distance measurement being less than a threshold distance, configuring one or more transceiver parameters associated with the second radio link in response to determining the second radio link is utilizing a non-line of sight path, and obtaining a second distance measurement using the second radio link and the one or more transceiver parameters.

Abstract: Disclosed are systems and techniques for performing mapping using radio frequency (RF) sensing. For instance, a server can obtain a first set of RF sensing data and orientation data corresponding to a first wireless device from a plurality of wireless devices. The first set of RF sensing data can be associated with at least one received waveform that is a reflection of a transmitted waveform from a first reflector. Based on the first set of RF sensing data, orientation data, and location data corresponding to the first wireless device, an indoor map can be generated that includes a reference to the reflector.

Abstract: A method for managing memory for applications in a computing system includes receiving a selection of a preferred application. During user-controlled operation over the application, the transitions of selected application between foreground and background are monitored. A retention of the application in memory is triggered upon a transition of the application to background during the user operation. Retention of the application includes compressing memory portions of the application. Accordingly, the application is retained within the memory based on said compressed memory portions. A requirement to restore the retained application is sensed based on either a user selection or an automatically generated prediction and the application is restored from the retained state back to the foreground.

Abstract: A method and device for execution of deep neural network (DNN) in an internet of things (IoT) edge network are provided. In an embodiment, at least one edge device within communication range of an IoT device are selected. Further, a network for connecting the IoT device with the at least one selected edge device is identified. A split ratio is determined based on an inference time of the DNN and a transmission time required for transmitting output of each layer of DNN from the IoT device to the selected at least one edge device. Finally, a plurality of layers of the DNN are split into a first part and a second part based on the split ratio, and the second part is transmitted to the selected at least one edge device through the identified network. The first part is executed on the IoT device, and the second part is executed on the selected at least one edge device.

Abstract: A method for managing memory for applications in a computing system includes receiving a selection of a preferred application. During user-controlled operation over the application, the transitions of selected application between foreground and background are monitored. A retention of the application in memory is triggered upon a transition of the application to background during the user operation. Retention of the application includes compressing memory portions of the application. Accordingly, the application is retained within the memory based on said compressed memory portions. A requirement to restore the retained application is sensed based on either a user selection or an automatically generated prediction and the application is restored from the retained state back to the foreground.

Abstract: This disclosure relates to improved systems, methods, and techniques for constructing and employing neural network architectures to solve computer vision and other problems. The neural network architectures can have two or three layers with all nodes in the first layer connected to all nodes in the second layer. The nodes in the second layer can be connected to each other. The weights or values of the various connections between these nodes in the first two layers can also be updated between the processing of inputs to the neural network architectures. These neural network architectures do not require extensive training and can learn continuously. Other embodiments are disclosed herein as well.

Abstract: This disclosure relates to improved systems, methods, and techniques for constructing and employing neural network architectures to solve computer vision and other problems. The neural network architectures can have two or three layers with all nodes in the first layer connected to all nodes in the second layer. The nodes in the second layer can be connected to each other. The weights or values of the various connections between these nodes in the first two layers can also be updated between the processing of inputs to the neural network architectures. These neural network architectures do not require extensive training and can learn continuously. Other embodiments are disclosed herein as well.

Abstract: Embodiments described herein address these and other issues by providing radio frequency (RF) sensing to determine the status of a driver or other occupant of the vehicle. RF sensing may be provided by existing radios of a vehicle, such a Wi-Fi transceiver, and may therefore provide RF sensing functionality to a vehicle with little added cost. RF sensing can be leveraged to implement safety features such as detecting an unattended child or pet in a vehicle, detecting driver alertness, and the like.

Abstract: Disclosed are systems and techniques for performing mapping using radio frequency (RF) sensing. For instance, a server can obtain a first set of RF sensing data and orientation data corresponding to a first wireless device from a plurality of wireless devices. The first set of RF sensing data can be associated with at least one received waveform that is a reflection of a transmitted waveform from a first reflector. Based on the first set of RF sensing data, orientation data, and location data corresponding to the first wireless device, an indoor map can be generated that includes a reference to the reflector.

Abstract: This disclosure relates to the use of “pseudo-images” to perform image recognition, e.g., to perform facial image recognition. In an embodiment, the pseudo-image is obtained by starting with a real world image and, after optional preprocessing, subjecting the image to a non-linear transformation that converts the image into a pseudo-image. While real world objects (or, more generally, real world patterns) may be perceivable in the starting image, they cannot be perceived in the pseudo-image. Image recognition takes place by comparing the pseudo-image with a library of known pseudo-images, i.e., image recognition takes place in pseudo-image space without a return to real world space. In this way, robust image recognition is achieved even for imperfect real world images, such as, real world images that have been degraded by noise, poor illumination, uneven lighting, and/or occlusion, e.g., the presence of glasses, scarves, or the like in the case of facial images.

Abstract: Techniques are provided for utilizing Wi-Fi positioning based contact tracing. An example method for reporting signal measurements to a contact tracing network includes activating a contact tracing application on a user equipment based on a proximity to the contact tracing network, receiving one or more measurement signals from a station in the contact tracing network, and reporting a signal measurement and station identification to a network entity.

Abstract: Disclosed are systems and techniques for performing mapping using radio frequency (RF) sensing. For instance, a server can obtain a first set of RF sensing data and orientation data corresponding to a first wireless device from a plurality of wireless devices. The first set of RF sensing data can be associated with at least one received waveform that is a reflection of a transmitted waveform from a first reflector. Based on the first set of RF sensing data, orientation data, and location data corresponding to the first wireless device, an indoor map can be generated that includes a reference to the reflector.

Abstract: A method for handling at least one resource operating performance configuration in an electronic device by the electronic device is provided. The method includes determining at least one event that is generated by the at least one application from a plurality of applications running in the electronic device. Further that requires acceleration of the at least one application from the plurality of applications running in the electronic device, the method includes fetching a system configuration based on the determination. Further, the method includes modifying the system configuration for each event to accelerate the execution of each event associated with the at least one application running in the electronic device. The method includes accelerate execution of the application running in the electronic device based on the modified system configuration.

Abstract: Techniques are provided for improving ranging accuracy of ultrawideband (UWB) devices. An example method for obtaining a distance measurement with a wireless node includes obtaining a first distance measurement using a first radio link, determining a status of a second radio link in response to the first distance measurement being less than a threshold distance, configuring one or more transceiver parameters associated with the second radio link in response to determining the second radio link is utilizing a non-line of sight path, and obtaining a second distance measurement using the second radio link and the one or more transceiver parameters.

Abstract: Techniques are provided for performing radio frequency (RF) sensing to determine the viewing status of a television user. This can be used to determine user behavior during the playback of content (e.g., whether a user is watching the content), which can be used as a data point for determining the user's level of interest in the content. Using the status of the television user, embodiments can provide additional or alternative functionality, such as powering down and/or powering up the television. Furthermore, RF sensing may be performed by existing television hardware, such a Wi-Fi transceiver, and may therefore provide RF sensing functionality to a television with little or no added cost.

Abstract: Disclosed are systems and techniques for performing mapping using radio frequency (RF) sensing. For instance, a server can obtain a first set of RF sensing data and orientation data corresponding to a first wireless device from a plurality of wireless devices. The first set of RF sensing data can be associated with at least one received waveform that is a reflection of a transmitted waveform from a first reflector. Based on the first set of RF sensing data, orientation data, and location data corresponding to the first wireless device, an indoor map can be generated that includes a reference to the reflector.

Abstract: A method and device for execution of deep neural network (DNN) in an internet of things (IoT) edge network are provided. In an embodiment, at least one edge device within communication range of an IoT device are selected. Further, a network for connecting the IoT device with the at least one selected edge device is identified. A split ratio is determined based on an inference time of the DNN and a transmission time required for transmitting output of each layer of DNN from the IoT device to the selected at least one edge device. Finally, a plurality of layers of the DNN are split into a first part and a second part based on the split ratio, and the second part is transmitted to the selected at least one edge device through the identified network. The first part is executed on the IoT device, and the second part is executed on the selected at least one edge device.

Abstract: Techniques are provided for performing radio frequency (RF) sensing to determine the viewing status of a television user. This can be used to determine user behavior during the playback of content (e.g., whether a user is watching the content), which can be used as a data point for determining the user's level of interest in the content. Using the status of the television user, embodiments can provide additional or alternative functionality, such as powering down and/or powering up the television. Furthermore, RF sensing may be performed by existing television hardware, such a Wi-Fi transceiver, and may therefore provide RF sensing functionality to a television with little or no added cost.