Microsoft Technology Licensing, LLC

Agis Software Development LLC

Advanced Ground Information Systems, Inc.

Christopher R Rice

Malcolm K Beyer, Jr

Shai Guday

David Neil MacDonald

Piyush Goyal

Triptpal Singh Lamba

Saumaya Sharma

Darya Mazandarany

Nicholas A Banks

Aravind Seshadri

Thomas W Kuehnel

Jyh-Han Lin

Mohammad Shabbir Alam

Lon-Chan Chu

Timothy David Sharpe

James Christopher Gray

Sidharth Nabar

Douglas Edward Stamper

Prasanta Ghosal

Anup Kashinath Pachlag

Javier Flores Assad

A method and system includes the ability for individuals to set up an ad hoc digital and voice network easily and rapidly to allow users to coordinate their activities by eliminating the need for pre-entry of data into a web or identifying others by name, phone numbers or email. This method is especially useful for police, fire fighters, military, first responders or other emergency situations for coordinating different organizations at the scene of a disaster to elevate conventional communication problems either up and down the chain of command or cross communication between different emergency units. The method and system provides that the users are only required to enter a specific Server IP address and an ad hoc event name, a password and perhaps the name of the particular unit.

Method to provide ad hoc and password protected digital and voice networks

Embodiments produce a set of instructions for connecting to a network through a network access point based on data crowdsourced from mobile computing devices. The crowdsourced data describes interactions between the mobile computing devices and the network access point when establishing a connection to the network. A cloud service analyzes the crowdsourced data to identify a set of instructions for association with the network access point. The mobile computing devices replay the set of instructions when subsequently attempting to connect to the network access point.

Generating sequenced instructions for connecting through captive portals

Embodiments apply a set of sequenced instructions to connect to a network through a captive portal. A computing device detects a network access point and obtains the instruction set corresponding to the network access point. The instruction set is derived by a cloud service from crowdsourced data describing interactions between mobile computing devices and the network access point. Applying the instruction set includes performing actions such as navigating web pages to accept terms and conditions, provide user or device information, and more.

Applying sequenced instructions to connect through captive portals

Location inference using selected beacons. Data is received representing a set of beacons observed by a computing device. The beacons are located within a first geographic area. A subset (e.g., a clique) of the beacons is selected based on a coverage area of each of the beacons, where each of the beacons in the selected subset has a coverage area that overlaps with the coverage area of each of the other beacons in the selected subset. Using known or estimated positions of the beacons, a second geographic area is defined based on the selected subset of beacons and the beacon reference data and the coverage areas associated therewith. The second geographic area, smaller than the first geographic area, represents an approximate location of the computing device. In some embodiments, the computing device is calculated to be within the second geographic area with 95% probability.

Selecting beacons for location inference

Determining unwanted multimedia message originated from a multimedia call. An interface receives a multimedia message from a telecommunication service operator, and multimedia message is stored on a storage area. A unified communication system manages communication message delivery to at least one of the following access points for the recipient, and the unified communication system includes a processor configured to execute computer-executable instructions for identifying a voice portion from content of the received multimedia message. An anti-spam engine is applied to analyze a textual representation of the identified voice portion, and a confidence ranking of the representation is generated in response to the analyzed representation. It is determined whether the multimedia message is an unwanted multimedia message as a function of the confidence ranking and the analyzed representation.

Multimedia spam determination using speech conversion

A method for determining location of an observer device is disclosed. The method includes receiving basestation distance data for the observer device and applying a location algorithm to the basestation distance data to determine a computed location of the observer device. The method further includes determining whether the basestation distance data correlates to any of a plurality of observer device conditions. Upon determining the basestation data correlates with one of the observer device conditions, a location bias associated with that observer device condition is employed to correct the computed location of the observer device and produce a corrected location.

Location determination with geographic and bias tuning

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Redmond, WA, United States of America

Christopher R Rice