Abstract: Disclosed are techniques for wireless positioning. In an aspect, a first user equipment (UE) transmits a request to perform a UE-UE positioning procedure with a second UE, receives a radio resource configuration for the UE-UE positioning procedure, the radio resource configuration indicating first radio resources for transmitting positioning signals to the second UE and second radio resources for receiving positioning signals from the second UE, transmits one or more first positioning signals to the second UE on the first radio resources, receives one or more second positioning signals from the second UE on the second radio resources, and enables a distance between the first UE and the second UE to be estimated based on at least transmission times of the one or more first positioning signals and times of arrival (ToAs) of the one or more second positioning signals.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and apparatus for operating a computational network are provided. The apparatus may obtain a set of navigational instructions describing a route to a destination. The apparatus may obtain first image data through a first camera that is oriented toward the route, the first image data depicting a first scene associated with the route. The apparatus may determine a first field of view associated with a user that is navigating the route to the destination based on a first sensor that is oriented toward the user. The apparatus may identify at least one salient object represented in the first scene based on the first field of view. The apparatus may output instructional information describing a first navigational instruction of the set of navigational instructions with reference to the at least one salient object.

Abstract: Systems, methods, and devices of the various embodiments enable local visual identification and verification of robotic vehicles. Various embodiments may enable disambiguation of a robotic vehicle from among a plurality of robotic vehicles.

Abstract: In an aspect of the disclosure, a method, a computer-readable medium, and apparatus for operating a computational network are provided. The apparatus may obtain a set of navigational instructions describing a route to a destination. The apparatus may obtain first image data through a first camera that is oriented toward the route, the first image data depicting a first scene associated with the route. The apparatus may determine a first field of view associated with a user that is navigating the route to the destination based on a first sensor that is oriented toward the user. The apparatus may identify at least one salient object represented in the first scene based on the first field of view. The apparatus may output instructional information describing a first navigational instruction of the set of navigational instructions with reference to the at least one salient object.

Abstract: Embodiments of the invention disclose methods, apparatuses, systems, and computer-readable media for taking and sharing pictures of objects of interest at an event or an occasion. A device implementing embodiments of the invention may enable a user to select objects of interest from a view displayed by a display unit coupled to the device. The device may also have pre-programmed objects including objects that the device detects. In addition, the device may detect people using the users' social networks by retrieving images from social networks like Facebook® and LinkedIn®.

Abstract: Systems, methods, and devices of the various embodiments enable local visual identification and verification of robotic vehicles. Various embodiments may enable disambiguation of a robotic vehicle from among a plurality of robotic vehicles.

Abstract: Embodiments of the invention disclose methods, apparatuses, systems, and computer-readable media for taking and sharing pictures of objects of interest at an event or an occasion. A device implementing embodiments of the invention may enable a user to select objects of interest from a view displayed by a display unit coupled to the device. The device may also have pre-programmed objects including objects that the device detects. In addition, the device may detect people using the users' social networks by retrieving images from social networks like Facebook® and LinkedIn®.

Abstract: Methods, and computing devices implementing the methods, improve the efficiency and performance of a comprehensive behavioral monitoring and analysis system that is configured to predict whether a software application is causing undesirable or performance depredating behavior. The behavioral monitoring and analysis system may be configured to quickly and efficiently classify certain software applications as being benign by generating a behavior vector that characterizes the activities of the software application, determining whether the generated behavior vector includes a distinguishing behavior or behavioral clue identifying the software application as a trusted software application, and classifying the software application as benign in response to determining that the generated behavior vector includes a distinguishing behavior identifying the software application as a trusted software application.

Abstract: Aspects include computing devices, systems, and methods for implementing detecting return oriented programming (ROP) attacks on a computing device. A memory traversal map for a program called to run on the computing device may be loaded. A memory access request of the program to a memory of the computing device may be monitored and a memory address of the memory from the memory access request may be retrieved. The retrieved memory address may be compared to the memory traversal map and a determination of whether the memory access request indicates a ROP attack may be made. The memory traversal map may include a next memory address adjacent to a previous memory address in the memory traversal map. A cumulative anomaly score based on mismatches between the retrieved memory address and the memory traversal map may be calculated and used to determine whether to load a finer grain memory traversal map.

Abstract: An apparatus and method for estimating a position of a mobile device based on one or more images is disclosed. Positioning information is derived from an image containing an SAS (self-addressing source such as a QR code), thereby setting a first vector V1 and an SAS pose. The image is also used to determine a displacement between the mobile device and the self-addressing source, thereby setting a second vector V2. Using the first vector V1, the SAS pose and the second vector V2, the mobile device may estimate its position with high accuracy and may also recalibrate dead-reckoning navigation and a gyrometer.

Abstract: Systems and methodologies are described herein that facilitate a centralized structure for managing multi-radio coexistence for a mobile device and/or other suitable device(s). As described herein, a control plane coexistence manager (CxM) entity and/or a data plane CxM entity can be implemented to directly interact with a set of associated transceivers (e.g., radios, etc.) in order to manage conflicts between events corresponding to the transceivers. Further, CxM operation can be divided between the control and data planes such that the control plane handles configuration and long-term operations such as radio registration, sleep mode management, long-term event resolution, interaction with upper layers, etc., while the data plane handles short-term operations with respect to radio event management based on incoming notifications or event requests.

Abstract: Methods, and computing devices implementing the methods, improve the efficiency and performance of a comprehensive behavioral monitoring and analysis system that is configured to predict whether a software application is causing undesirable or performance depredating behavior. The behavioral monitoring and analysis system may be configured to quickly and efficiently classify certain software applications as being benign by generating a behavior vector that characterizes the activities of the software application, determining whether the generated behavior vector includes a distinguishing behavior or behavioral clue identifying the software application as a trusted software application, and classifying the software application as benign in response to determining that the generated behavior vector includes a distinguishing behavior identifying the software application as a trusted software application.

Abstract: A wireless communications device is disclosed. The wireless communications device is configured to support a call over a cellular network or an IP network to a remote communications device. The wireless communications device is further configured to handoff the call between the cellular network and the IP network. An Interworking Function (IWF) is configured to maintain a call between a wireless communications device and a communications device as the wireless communications device is handed off between a cellular network and an IP network.

Abstract: Disclosed are systems, methods and devices for application of measurements obtained from a compass or magnetometer in estimating a location of a mobile device. In specific implementations, expected signatures of local magnetic fields at locations are provided to a mobile device as positioning assistance data. In other implementations, magnetic measurements obtained by multiple mobile devices at identifiable locations in an indoor area may be combined for deriving expected signatures of local magnetic fields for use in positioning assistance data.

Abstract: White space signals are differentiated from licensed ATSC signals through modification of a waveform of the white space signal. White space signals may be modified by shifting the ATSC-compatible waveform so that the pilot frequency of the white space signal is at a location outside of the frequency range associated with the pilot frequency in a licensed ATSC signal or embedding a watermark signal into said ATSC-like white space signals. White space device transmitters generate the signals with these modifications and white space receivers are equipped to detect whether a pilot exists in the standard licensed pilot frequencies. Based on these differences, white space devices can better operate without interfering with licensed ATSC transmission. Additionally, the modification techniques may be used to embed data in the white space signal that may be used to communicate connection data or networking data to other white space devices.

Abstract: Embodiments of the invention disclose methods, apparatuses, systems, and computer-readable media for taking and sharing pictures of objects of interest at an event or an occasion. A device implementing embodiments of the invention may enable a user to select objects of interest from a view displayed by a display unit coupled to the device. The device may also have pre-programmed objects including objects that the device detects. In addition, the device may detect people using the users' social networks by retrieving images from social networks like Facebook® and LinkedIn®.

Abstract: Described herein are mechanisms and methods that facilitate generation of receiver status message (e.g., acknowledgments and/or negative acknowledgments) before, during, and after a handoff of an access terminal (user equipment) from a first transceiver module to a second transceiver module. A network module can generate receiver status messages during a handoff and informs a target transceiver module of when it can begin to generate receiver status messages for data received from an access terminal.

Abstract: An apparatus and method for estimating a position of a mobile device based on one or more images is disclosed. Positioning information is derived from an image containing an SAS (self-addressing source such as a QR code), thereby setting a first vector V1 and an SAS pose. The image is also used to determine a displacement between the mobile device and the self-addressing source, thereby setting a second vector V2. Using the first vector V1, the SAS pose and the second vector V2, the mobile device may estimate its position with high accuracy and may also recalibrate dead-reckoning navigation and a gyrometer.

Abstract: White space signals are differentiated from licensed ATSC signals through modification of a waveform of the white space signal. White space signals may be modified by shifting the ATSC-compatible waveform so that the pilot frequency of the white space signal is at a location outside of the frequency range associated with the pilot frequency in a licensed ATSC signal or embedding a watermark signal into said ATSC-like white space signals. White space device transmitters generate the signals with these modifications and white space receivers are equipped to detect whether a pilot exists in the standard licensed pilot frequencies. Based on these differences, white space devices can better operate without interfering with licensed ATSC transmission. Additionally, the modification techniques may be used to embed data in the white space signal that may be used to communicate connection data or networking data to other white space devices.

Abstract: Systems and methodologies are described herein that facilitate a centralized structure for managing multi-radio coexistence for a mobile device and/or other suitable device(s). As described herein, a control plane coexistence manager (CxM) entity and/or a data plane CxM entity can be implemented to directly interact with a set of associated transceivers (e.g., radios, etc.) in order to manage conflicts between events corresponding to the transceivers. Further, CxM operation can be divided between the control and data planes such that the control plane handles configuration and long-term operations such as radio registration, sleep mode management, long-term event resolution, interaction with upper layers, etc., while the data plane handles short-term operations with respect to radio event management based on incoming notifications or event requests.