Intertrust Technologies Corporation

Sciencelogic, Inc.

Bright Energy Storage Technologies, Llp

The Tomorrow Companies Inc.

Cellsec, Inc.

Api Market, Inc.

Siebels Asset Management Research Ltd.

Climacell Inc.

Shared Spectrum Company

Informatica Corporation

Pulse Secure, LLC

Jumpstart Wireless Corporation

Oncircle, Inc.

Jk Innovations LLC

Globalytica, LLC

Karl L Ginter

David M Van Wie

Victor H Shear

Francis J Spahn

Michael Bartman

Richard M Chart

Robert P Weber

Matthew Luebke

Scott Raymond Frazier

Nir Nossenson

Jacob Ribnik

Shimon Elkabetz

Christopher G Cordray

Rei Goffer

David F Link

Itai Zlotnik

Kevin Pykkonen

Jeffrey Orion Pritchard

W Olin Sibert

David Moshe Goldschlag

Yoav Weiss

Daniel Alexander Rothenberg

Edward Adams Robie, Jr

Stefan Roever

Rotem Bar-Or

Jane Marie Siebels

Jeffrey Guy Bonar

John Langley Rehwinkel

Derek S Toledo-Silbert

Alex F Clark

Kevin Collins

Kevin Wray

Mark Allen McHenry

Miles L Abarr

Alex Lau

Jennifer Fon Tuey

Brendan R Geels

Alan N Schwartz

Jeffrey G Bonar

Subir Chhibber

Kenneth G Tomazin

Adrian Pekarek

Bryan Tafel

Shannon Thrasher

Michael S Appelbaum

Jeffrey H Garvett

Katherine Pherson

Diana Manfredi

Grace Scarborough

Randolph Pherson

Sarah Beebe

Mike Bartman

Christopher Bradley

Jeffrey S Cummings

Michael S Applebaum

Shimon Elkebetz

Olin W Sibert

Correlation of component information provided by diverse detection and data collection methods is used to discover additional components and identify and record relationships between these and still other components. Each detection and data collection method can be individually useful to discover components, and to provide at least some information about one or more discovered components to identify at least one relationship between the discovered components. When the information and component discoveries of a first detection and data collection method are properly combined with those of a second detection and data collection method, there can be a synergistic effect that greatly improves the utility and efficiency of a relationship-based network management system by enabling automated discovery of additional components and identification of additional component relationships, by automatically merging diverse views of a single component into a coherent picture of that component, and by automated prediction of component state changes based on state changes in related components.

Component detection and management using relationships

Improved mechanisms for collecting information from a diverse suite of sensors and systems, calculating the current precipitation, atmospheric water vapor, atmospheric liquid water content, or precipitable water and other atmospheric-based phenomena, for example presence and intensity of fog, based upon these sensor readings, predicting future precipitation and atmospheric-based phenomena, and estimating effects of the atmospheric-based phenomena on visibility, for example by calculating runway visible range (RVR) estimates and forecasts based on the atmospheric-based phenomena.

Real-time weather forecasting

A computerized method of processing data for use in weather modeling is provided. The method includes receiving, from a first data source, by a first server, microwave link data including signal attenuation information. The method also includes pre-processing, in real time, by the first server, the microwave link data, thereby producing pre-processed microwave link data. The method also includes storing the pre-processed microwave link data in a first data store. The method also includes receiving, from the first data store, by a second server, the pre-processed microwave link data. The method also includes processing, on a scheduled routine, by the second server, the pre-processed microwave link data using a data transform, thereby producing first weather data.

Real-time precipitation forecasting system

The system as described collects and utilizes weather data sensor information in order to rapidly collect and update weather forecasts using real-time weather data collected at high rates of frequency, and use this collected high frequency weather data to rapidly correct and update the weather forecasts generated by the system.

Real-time data pipeline techniques for improving a fast weather forecasting system

Tracking, identifying and article management systems and methods for reliably and repeatedly determining one or more physically uncopiable attribute instances (of the same or varying types) from or inherent in an article of manufacture, using the selected physical uncopiable attribute(s) to produce an unforgeable identity for the article, and then integrating that unforgeable identity into computer-based tracking systems in a way that permits the tracking system to track and monitor articles for which identity information is known. Applications include documents, fashion accessories, artwork, and other objects.

Protected article management

Real-time weather forecasting for transportation systems

Systems, software, and methods for managing networks of connected electronic devices are described. In one example, network management policy and network management applications are transferred automatically upon detection and identification of a new device, protocol or application on the network. In another example, information related to at least one aspect of the network is obtained by an NMAS, and at least one applicable management policy is identified by the NMAS; and the identified policy is used to manage at least one aspect of the network's operation.

Dynamically deployable self configuring distributed network management system

This invention provides secure, policy-based separation of data and applications on computer, especially personal computers that operate in different environments, such as those including personal applications and corporate applications, so that both types of applications can run simultaneously while complying with all required policies. The invention enables employees to use their personal devices for work purposes, or work devices for personal purposes. The secure, policy-based separation is created by dividing the data processing device into two or more 'domains,' each with its own policies. These policies may be configured by the device owner, an IT department, or other data or application owner.

Dividing a data processing device into separate security domains

Methods and apparatus are described for enabling actionable content by embedding title materials corresponding to digital bearer instruments in digital media.

Methods and medium for title materials embedded within media formats and related applications

Growing community of inventors

Beltsville, MD, United States of America

Karl L Ginter