Abstract: Left and right earphones are independently wireless such that the left and right earphones are not physically connected when worn by a user. Each earphone comprises a speaker and a body portion with an SOC. Each SOC comprises a wireless communication circuit and a processor. Each speaker is for playing audio streamed to the earphones in a lossy compressed format.

Abstract: Various embodiments of the present technology generally relate to data delivery. More specifically, some embodiments of the present technology relate to systems and methods for using spatial and temporal analysis to associate data sources with mobile devices. The delivery of data to support a wide variety of services for and about mobile devices that are based on data stored in corporate, commercial, and government databases which is not currently linked to individual mobile devices. Some embodiments allow advertisers to better target their ads to relevant target audiences with greater accuracy.

Abstract: A system comprising a user device having a user identifier (ID), short range communication interface, an application, and a software development kit (SDK) layer; a remote system communicatively coupled to the user device and the application, and configured to obtain the user ID, obtain a plurality of device IDs associated with a plurality of remote devices, associate the user ID with the plurality of device IDs, and provide the plurality of device IDs to the application based on the user ID; wherein the application is configured to receive the plurality of device IDs from the remote system, cause the user device to automatically pair with the plurality of remote devices based on receiving the plurality of device IDs, and receive data from a remote device of the plurality of remote device via the short range communication interface of the user device.

Abstract: A computer-implemented method for tracking a user includes: configuring a client device for entering: a starting point for a trip, a destination, mode of transportation, and indication of starting the trip; configuring the server for identifying a preferred route based upon: a distance of the trip, a crime rate of areas between the starting point and destination, and the mode of transportation; configuring the server for calculating an allotted time for the trip; configuring the client device for continuously transmitting its location to the server; configuring the server for continuously monitoring the location of the client device; configuring the client device for selectively transmitting an alarm message to the server when the client device deviates beyond a threshold amount from the preferred route or the allotted time for the trip; and configuring the server for notifying a family member and local police when the panic alarm message is received.

Abstract: A wireless transmission system logs and communicates a location of an object. The wireless transmission system includes a wireless antenna configured to transmit a first beacon signal and a second advertising beacon signal. The system also includes a processor and a memory that stores instructions executable by the processor. The instructions cause the wireless antenna to repeatedly transmit the first beacon signal through a first number of transmission repetitions spaced at a first repeat interval. After completing the first number of transmission repetitions, the wireless antenna withholds transmission during a transition interval. After the transition interval, the wireless antenna repeatedly transmits the second advertising beacon signal through a second number of transmission repetitions at a second repeat interval. The wireless antenna, memory, and processor may be integrated in to a mountable housing and attached to an object or integrated with the tool.

Abstract: Systems and methods for identifying and tracking pets by use of a pet identification tag or image recognition techniques are disclosed. In exemplary embodiments, a mobile computing device communicates with a pet identification tag over a near-field communication link and a remote server over a wireless communication link. The mobile computing device is configured to identify a pet based on a unique identifier for the tag and/or to provide an image of a pet to the remote server, and to download information about the pet from the remote server using the unique identifier or pet image.

Abstract: A data storage device that, in a first mode, emulates a Wi-Fi adapter to facilitate communication with the host device. When the data storage device is connected to the host device, a processor of the data storage device emulates a Wi-Fi adapter to the connected host device. This includes emulating a Wi-Fi network. Responsive to a request to join the Wi-Fi network, a further notification is sent to trigger a captive portal displayed at the host device. The captive portal facilitates additional communication between the data storage device and the host device. The additional communication can be related to one or more of authentication, access control, firmware updates, and configuration of the data storage device. The data storage device also includes storage medium that, in a second mode, is accessible by the host device.

Abstract: When a first access node is considering setup of dual-connectivity service for a UE, the first access node could determine that the UE supports dual-band dual-connectivity service in which the UE would be served concurrently by a first access node, under a first radio access technology (RAT) over a first connection on a first frequency band and by a second access node, under a second RAT over a second connection on a second frequency band. To help optimize service when faced with the ability to set up either single-band dual-connectivity for the UE or dual-band dual-connectivity for the UE, the first access node will set up single-band dual connectivity for the UE.

Abstract: A method for pairing a terminal with an access point in a wireless communication network is described. The network comprises a plurality of access points that are centrally coordinated by a manager device. The method comprises the following steps executed by at least one access point: receiving a first message comprising information indicating that said terminal wishes to pair with said access point; sending a second message to said manager device, said second message comprising information indicating that said terminal wishes to pair with said access point; adding, in at least one beacon frame of said access point, information indicating that a pairing session is active, only on receipt of a message from said manager device notifying said access point to engage a pairing session with said terminal; and pairing said access point and said terminal.

Abstract: A neural network system for inferring a location of a target from a plurality of localization parameters derived from a wireless signal and a method of training thereof. The neural network system comprises first and second neural networks. The plurality of localization parameters comprise one or more parameters relating to a velocity of a target and one or more other parameters. The first neural network is trained to infer a set of candidate locations of a target from values of the one or more other parameters. The second neural network is trained to infer a location of the target from values of the one or more parameters relating to a velocity of the target and a set of candidate locations of the target.

Abstract: Methods and systems are described herein for an improved mechanism for authenticating users. In particular, the methods and systems facilitate variable authentication of users on mobile devices based on current and historical physical movement of the mobile devices at geographic locations and during predetermined time intervals while maintaining user privacy. Specifically, methods and systems authenticate users by comparing current motion data to historical motion data to determine if a user must be re-authenticated. For example, current motion data may be inconsistent with historical motion data and may cause re-authentication of a user. As another example, current motion data may be consistent with historical motion data and may not require re-authentication of a user. Moreover, the methods and systems alleviate privacy concerns by not transmitting sensitive data over one or more wired or wireless networks.

Abstract: A wireless device (100) is configured for dual mode V2X communications over multiple short range radio interfaces. The wireless device (100) is configured to transmit ITS messages over a first short range radio interface configured to operate according to a first communication standard (e.g. PC5 or IEEE 802.11p), and to receive ITS messages over both the first short range radio interface and a second short radio interface configured to operate according to a second communication standard. Implementing the transmitter chain of only one technology, either PC5 or IEEE 802.11p, at each wireless device (100) reduces complexity and mitigates co-channel and adjacent channel interference that is caused by uncoordinated and concurrent transmissions of different technologies from the same wireless device. Implementing receiver chains for both PC5 and 802.11p allows the wireless device (100) to receive signals in the ITS frequency band regardless of which technology the transmitting device is using.

Abstract: Embodiments are presented for collaborative device address generation between a wireless client device and a network infrastructure component, such as a wireless access point. The wireless client device and network infrastructure component share information to facilitate collaborative generation of a sequence of device addresses. This shared information includes, in some embodiments, key information and moving factor information. The key information and moving factor information is used to generate a token. A sequence of tokens is generated by updating the moving factor as each token is generated. A corresponding sequence of device addresses are then derived based on the sequence of tokens. Since the wireless client device and the network infrastructure device apply equivalent methods to generate respective sequences of addresses, the network infrastructure is able to efficiently identify a source wireless client device when observing a new device address on a wireless network.

Abstract: Devices and methods for configuration of a mobile terminal including a near-field communication device and a radio communication device separate from the near-field communication device are provided. One such method includes determining, by the radio communication device, an identifier of a wireless local network within a range of the mobile terminal. The method further includes selecting, from a configuration table, at least one configuration parameter of a plurality of sets of configuration parameters of the near-field communication device according to the identifier, and applying the at least one configuration parameter to the near-field communication device.

Abstract: A distributed network performance management system and method that distributes a large portion of the network performance management to wireless client devices connected to the network. Rather than rely on a central server to perform the bulk of network performance management, a distributed network performance management system offloads much of the work of service quality testing, reporting, and troubleshooting to wireless client devices that are connected to the network. It utilizes spare computing power and storage space on the wireless client devices to reduce the cloud operation costs of the system including such things as bandwidth requirements, data storage requirements, and data processing requirements.

Abstract: An example device is configured to determine, based on a sky image of a portion of sky over a power distribution network and using a convolutional neural network (CNN)-based image regression model, an estimated global horizontal irradiance (GHI) value and manage or control the power distribution network using the estimated GHI value. The device may also be configured to determine, based on GHI values and aggregate load values for at least a portion of the power distribution network, using a Bayesian Structural Time Series model, an estimated photovoltaic power output value for the at least a portion of the power distribution network. The device may manage or control the power distribution network using the estimated photovoltaic power output value.

Abstract: Systems and methods for learning based control in accordance with embodiments of the invention are illustrated. One embodiment includes a method for training an adaptive controller. The method includes steps for receiving a set of training data that includes several training samples, wherein each training sample includes a state and a true uncertain effect value. The method includes steps for computing an uncertain effect value based on the state, computing a set of one or more losses based on the true uncertain effect value and the computed uncertain effect value, and updating the adaptive controller based on the computed set of losses.

Abstract: Selecting local gateways for VoWiFi and/or ViWiFi calls (voice traffic sessions) for a user equipment (UE) includes: receiving, by an evolved packet data gateway (ePDG), a request to initiate the voice traffic session from a WiFi router outside a cellular network that is communicatively coupled with the UE; based on at least an internet protocol (IP) address of the WiFi router or the UE, determining a geographical location of the UE; based on at least the geographical location of the UE, determining a tracking area code; based on at least the tracking area code, determining an IP address of a network gateway proximate to the UE, wherein the network gateway comprises a user plane function (UPF) and a session management function (SMF) or a packet data gateway (PGW) user plane function (PGW-U) and a PGW control plane function (PGW-C); and establishing the voice traffic session using the network gateway.

Abstract: A system for providing real-time always-on location is presented for maintaining the current location of a mobile device, while saving the battery by managing the GPS in a power-saving mode while the device is considered to be stationary. The system also provides a real-time location in an indoor environment where a GPS signal may not be available. Additionally, methods for driving detection are also presented.

Abstract: A method of generating a second neural network model according to an example embodiment includes: inputting unlabeled input data to a first neural network model; obtaining prediction results corresponding to the unlabeled input data based on the first neural network model; and generating a second neural network model based on the prediction results of the first neural network model and a degree of distribution of the prediction results.