Blue Coat Systems, Inc.

Fortem Technologies, Inc.

Needle, Inc.

Mikko Valimaki

Adam Eugene Robertson

John Lyman Ahlander

Matthew Elliott Argyle

Bryan Alan Davis

James David Mackie

David Preece

J Michael Fonnesbeck

Matthew Robertson Morin

Brandon Robert Hicks

Joshua David Dinerstein

Nathan David Toone

Morgan Ivan Lynch

Mitchell Kay Oldroyd

David Thimm

Kristen Dame Knight

Bruce Alexander Carpenter

Mark Jensen

Eric Richard Grover

James Pettit Whitechurch

A method and system device provides a unique object identification process by obtaining information from one or more of radar signals, infrared signals, optical signals, audio signals, and other signals. The method includes continuously receiving object data at the device, applying by a machine learning system, a set of parameters to process the object identification and confidence level, and outputting or updating the object identification, confidence level, and actionable recommendations. The radar data includes a Doppler signature having a wrapped signal due to a sampling rate of the radar system. The Doppler signature is used to train the machine learning system to identify drone types.

System and method for drone and object classification

Systems, methods, and computer-readable media are described for radar-based object discovery and airspace data collection and management. In some examples, a data service system deploys radars across geographic areas based on a respective radar detection range of the radars and a coverage parameter for the geographic areas, wherein each of the radars is configured to detect object parameters within the respective radar detection range. The data service system collects the object parameters from the radars, determines weather conditions and/or airspace regulations associated with the geographic areas, and models airspace conditions for the geographic areas based on the object parameters and the weather conditions and/or airspace regulations.

Radar-based discovery technologies for managing air traffic

Systems, methods, and computer-readable media are described using radar systems to avoid vehicle collisions. An example radar system can include antennas mounted on an aircraft, where each antenna has a different orientation facing a different direction away from the aircraft. The radar system can include one or more processing devices and a computer-readable storage medium storing instructions which, when executed by the one or more processing devices, cause the radar system to coordinate digital beam steering and digital beam forming with the antennas to produce a radar coverage area that includes a portion of an airspace around the aircraft; detect, based a signal transmitted by the antennas using the digital beam steering and digital beam forming, an object within the radar coverage area; and generate collision avoidance information including an indication of the object detected within the radar coverage area and/or an instruction for avoiding a collision with the object.

Using radar sensors for collision avoidance

A chat window. In one example embodiment, a chat window is configured to facilitate communication between a visitor of a website and an agent of the website. The chat window includes a text chat region and an interactive region configured to display to the visitor one or more products selected by the visitor. The interactive region includes one or markup tools that enables the visitor to markup the one or more products during a chat with the agent.

Chat window

The present invention extends to methods, systems, computer program products, and data structures for filtering cached content based on embedded URLs. A computer system accesses a URL that corresponds to cached content. The computer system identifies an embedded URL included in the accessed URL. The embedded URL corresponds to a site that was accessed to retrieve the cached content. The computer system extracts the embedded URL from the accessed URL. The computer system determines whether or not access to the cached content is to be allowed based on the embedded URL.

Filtering cached content based on embedded URLs

A log file from a server is analyzed and entries in the log file are deleted, combined, or condensed to create a list of page views that more accurately reflects traffic to a server. The list of page views may be added to a database for searching, sorting, and analyzing the page views.

System and method for conducting network analytics

The present invention extends to methods, systems, and computer program products for dynamically rating Internet content. A computer receives an indication that at least one URL is available to be rated and that resources (e.g., a content rater) are available for rating the URL. The computer selects a URL, which identifies a portion of Internet content, and transfers the URL to at least two different content classifiers. The computer accesses first rating data corresponding to the identified portion of Internet from a first content classifier. The computer accesses second rating data corresponding to the identified portion of Internet from a second content classifier. The computer combines at least the first rating data and the second rating data into a combined rating corresponding to a specified content category. The computer indicates that the identified portion of Internet content is included in the specified content category.

Dynamic background rater for internet content

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Orem, UT, United States of America

Mikko Valimaki