Abstract: A system that includes a plurality of access points and a device tracking controller. The device tracking controller is configured to receive a navigation request identifying an item and to determine an item location for the item. The device tracking controller is further configured to receive signal strength information for the endpoint device from at least one access point from the plurality of access points. The device tracking controller is further configured to determine a location for the at least one access point and to determine a user location for the endpoint device based on the location of the at least one access point. The device tracking controller is further configured to determine a path between the user location and the item location within an environment and to send path instructions for the path to the endpoint device.

Abstract: System and method of the present disclosure provide a linguistic approach to image processing. Prior art focused on extracting well-defined single objects occupying large portion of an image area. However, there was no focus on higher level semantics or distribution of object categories within the image. In contrast to imagery by handheld devices, remotely sensed data contains numerous objects because of relative large coverage and distribution over objects is critical to analyzing such large coverage. Accordingly, in the present disclosure, a generative statistical model is defined wherein an aerial image is modelled as a collection of the one or more themes and each of the one or more themes is modelled as a collection of object categories. The model automatically adapts to a scale of the aerial image and appropriately identifies the themes which may be used for applications including monitoring land use, infrastructure management and the like.

Abstract: A method and system for locating a network device in an emergency situation. Current physical location information is obtained for a network device every time it registers on a network or moves to a new physical location. The current physical location is sent and received in an encrypted format to and from the network device. When the network device initiates an emergency message (e.g. 911, E911, NG911, text-to-911, 112, etc.) based on an emergency event (e.g., weather, crime, fire, natural disaster, medical, terrorist, military, etc.), the emergency message includes the encrypted current physical location information for the network device. The current physical location information is decrypted and the emergency message is immediately routed in real-time to an appropriate Public Safety Answering Point (PSAP). The appropriate PSAP is immediately notified in real-time so emergency responders (e.g., police, fire, medical, etc.) can be dispatched to the current physical location of the network device.

Abstract: A system includes a processor configured to receive vehicle GPS coordinates. The processor is also configured to compare the received GPS coordinates to known device coordinates. Further, the processor is configured to page a vehicle computing system, requesting connection, if the vehicle coordinates and the known device coordinates are within a predetermined proximity and connect to the vehicle upon receipt of a response message from the vehicle.

Abstract: A system for detecting threats using an overt threat detector, the system includes a computer-readable memory configured to store computer executable instructions; a processor configured to execute the computer executable instructions, the computer executable instructions comprising receiving historical data regarding vessel patterns in a geographic area; generating, using a computer processor, at least one overt threat model based on the received historical data; receiving tracking data of vessels currently in the geographic area; analyzing, using the computer processor, the tracking data of vessels using the at least one overt threat model; and modifying, using the computer processor, the tracking data of vessels based on the results of the analyzing step; and an output device configured to output the modified tracking data of vessels is disclosed.

Abstract: An approach to optimizing predictive model analysis, comprising creating one or more model templates, decomposing a predictive model, wherein model information is extracted from the predictive model, storing the model information in the one or more model templates, creating a plurality of sub-models, associated with the predictive model, using the stored model information, sending the plurality of sub-models to a scoring engine, receiving results based on the plurality of sub-models from the scoring engine and generating predictions based on combining the results received from the scoring engine. The generated predictions can be sent to one or more analytic applications for further processing.

Abstract: A method performed by a network node or a wireless communications device for determining a reporting threshold related to proximity based positioning in a wireless communications network. For each of a plurality of candidate reporting thresholds the network node or the wireless communications device calculates a corresponding localization accuracy metric based on a deployment information related to a deployment of the wireless communications network, an evaluation position related to the evaluation of a received signal, a propagation model relating the evaluation position and the evaluation of the received signal, and the respective candidate reporting threshold. The network node or the wireless communications device then determines the reporting threshold based on the plurality of corresponding localization accuracy metrics.

Abstract: An information display method in a mobile communication terminal. The method includes displaying information on a display unit of the mobile terminal, generating a scrolling start signal, and scrolling the information with a positive acceleration based on the generated scrolling start signal.

Abstract: Systems and methods for implementing location-based services for controlled-environment facilities are disclosed. The location-based services may be used to restrict the ability of residents to communicate with non-residents that are located within geographic areas defined with the location-based service, such as within a specified proximity of the facility. A resident of the controlled-environment facility requests a remote communication with a non-resident that is utilizing a mobile device, such as a cellular phone, smart phone or tablet device. The request for the remote communication may be allowed based, at least in part, upon the physical location of the mobile device as determined based on the location of cellular towers in use by the mobile device and based on a GPS (Global Positioning System) location provided by the mobile device.

Abstract: There is provided a method for shaping cells in a wireless communications network. The method is performed by a network node. The method comprises acquiring previously stored spatial channel characteristics for wireless devices (WDs), the WDs being associated with a set of radio access network nodes (RANNs), the of the WDs being measured between the at least one WD and at least two RANNs in the set of RANNs. The method comprises determining beam forming parameters for shaping cells for at least one RANN in the set of RANNs based on the acquired spatial channel characteristics such that at least a predetermined share of the WDs has a network coverage probability being higher than a predetermined threshold value. The method comprises notifying at least one of the RANNs in the set of RANNs of the determined beam forming parameters.

Abstract: Systems, methods, and computer-readable media are described for generating customized service plans for a wireless telecommunications network. An operator of a wireless telecommunications network may allow users to access the network in accordance with a service plan, which may specify terms and conditions associated with usage of the network (e.g., types of usage, amounts of usage, geographic areas, associated mobile devices and users, subscription fees, etc.). Customized, user-specific service plans for the wireless network may be generated and implemented by determining that a user satisfies one or more criteria for applying service plan modifications. A user may be required to agree to specified conditions, such as upgrading a mobile device or subscribing for a specified time period, in order to accept a customized service plan. Multiple modifications may be applied to a base service plan, and plans and/or modifications for which the user is eligible may be identified.

Abstract: A method for a terminal transmitting channel state information (CSI) in a wireless access system that supports massive multiple-input multiple-output (MIMO) according to one embodiment of the present invention may comprise the steps of: receiving CSI configuration information for reporting CSI; and transmitting CSI and identification information with respect to the partial channel corresponding to the CSI of the full channel according to the massive MIMO, on the basis of the CSI configuration information.

Abstract: Aspects include engaging a user in a chat flow by a dialog system. A user sentiment associated with a system response provided by the dialog system as part of the chat flow is determined based on observation of the user. A next system response is rerouted from a planned sequence of the chat flow to a sentiment-based repair sequence to alter content delivered to the user based on a detected aspect of the user sentiment.

Abstract: A system and method for the insertion of additional content to messages sent between mobile communications devices. The system provides for a point system which allows users of the system to accumulate points for additional content sent with text messages. The points may be used for various functions such as purchasing premium services or may be applied towards the user's service charges.

Abstract: A method and system for determining and verifying a location of network devices connected to the Internet of Things (IoT). The method and system provide a current physical geographic location for such IoT network devices and/or a user of the IoT network device in an emergency situation such as an accident, health, fitness, fire, terrorist attack, military incident, weather, flood event, etc. and forwarding the current physical geographic location to a legacy 911 network, NG-911 network, a Emergency Services IP networks (ESInet) or text-to-911 Short Message Services (SMS) networks to alert emergency responders.

Abstract: A dynamically configurable audience response system includes multiple handsets communicatively coupled to a wireless aggregation point. Each handset includes at least one dynamically configurable operating parameter, such as a handset ID that identifies that handset, one or more parameters defining a communication channel that the handset can use to communicate with the wireless aggregation point, and/or one or more parameters defining various keys that the handset can use to establish a communication link with the wireless aggregation point. In some embodiments, the operating parameters associated with the handsets may be defined dynamically via the wireless aggregation point and without any user interaction with the handset.

Abstract: The disclosure relates to dynamic secure messaging using near-field communication. Example embodiments include a near field communication target device (102) configured to respond to a read request (202) transmitted by a reader device (101) by transmitting a message (204) comprising an unencrypted portion and an encrypted portion, the encrypted portion incorporating a counter that is incremented each time a read request is received.

Abstract: A method begins by a processing module identifying a geographic area of an adverse condition and identifying a user device of a plurality of user devices potentially associated with the identified geographic area. The method continues with the processing module issuing a safety notification to the user device, where the safety notification includes one or more of the identified geographic area and a safety status request. The method continues with the processing module receiving, from the user device, a safety status response, where the safety status response includes at least one of location information generated by the user device and a safety status level generated by the user device. The method continues with the processing module indicating the safety status level.

Abstract: An apparatus, such as a wireless mobile device dynamically obtains configuration information for a plurality of different network switching decision modules from a server in response to a detected network condition change event. The server responds with network switching decision module configuration information which serves as configuration information for a plurality of different network switching decision modules on the wireless mobile device. The wireless mobile device selectively invokes the plurality of network switching decision modules that are enabled by the obtained configuration information from the server. Each of the enabled network switching decision modules performs its respective switching decision process and outputs its decision in the form of network switching decision data. The network switching decision data from each of the invoked network switching decision modules is evaluated to determine whether switching should occur from a current network to another network.

Abstract: The disclosed embodiments illustrate methods of data processing for training a target domain classifier to label text segments. The method includes identifying a set of common keywords with same label from a set of source keywords and a set of target keywords. The method includes training a first classifier, based on the set of common keywords, to label a first set of target text segments. The method includes training a second classifier based on at least a subset of the labeled first set of target text segments. The method includes training a third classifier, based on the first classifier and the second classifier, to label a second set of target text segments, wherein a subset of the labeled second set of target text segments is utilized for re-training the second classifier. The method further includes determining labels of another plurality of target text segments based on the re-trained second classifier.