Microsoft Technology Licensing, LLC

The Boeing Company

Rainer Johannes Romatka

Frank Stephen Serdy, Jr

Tyler Edward Hennessy

Neil A Brench

Adriana Willempje Blom-Schieber

Sarthak D Shah

Troy Winfree

Charles Mark Williams

Shyam Sujeewa Habarakada

Philip L Stubblefield

Michael Shayne Agney

Steve X Chang

A layup strategy analysis tool including a memory storing layup strategy analysis instructions and one or more processors configured to execute the layup strategy analysis instructions. During execution, the layup strategy analysis instructions obtain model data representing a three-dimensional (3D) model of an object to be formed using an automated fiber placement process. The layup strategy analysis instructions also obtain process data descriptive of the automated fiber placement process and one or more automated fiber placement machines. The layup strategy analysis instructions also generate output indicating a count of a number of tows that can be simultaneously applied during a single pass based on a geometry of the object and based on manufacturability constraints indicated by the process data.

Layup strategy analysis

A method of correlating data for multiple product configurations is provided comprising enhancing, by a processor, data set definition to accommodate data models of data sets describing multiple product configurations. The method also comprises comparing, by the processor, values of the data sets utilizing at least one matching algorithm and effectivity expressions identifying relevant rows for comparison in the data sets. The method also comprises enhancing, by the processor, the at least one matching algorithm to identify perfect and partial matches between the data sets wherein values of all data contained in the data sets are compared in one single operation comprising simultaneous validation of engineering data for the multiple product configurations.

Correlation of maximum configuration data sets

Mobile friendly internet searches are enabled by determining if individual internet sites are mobile friendly. In a described implementation, a mobile-friendliness indication is determined for an internet site. The determined mobile-friendliness indication is stored in association with the internet site in an index that may be used for internet searching. In another described implementation, a data structure comprises an internet index with multiple internet site entries having one or more associated mobile-friendliness indications. The mobile-friendliness indications may be general affirmative indications of mobile friendliness or specific indications of mobile-friendliness that identify a specific user agent type. In yet another described implementation, a search request having search terms is received, and a search is performed based thereon to produce a search results set. If the search requestor is a mobile device, the search results are ordered responsive to mobile-friendliness indications associated with the internet sites of the search results set.

Mobile friendly internet searches

Methods of correcting and transcoding markup language content for mobile devices are described. In an example, mobile device capabilities are determined. Content is processed to correct malformed tags in the content based on the determination. The corrected content is transcoded from a first mark-up language which is not supported by a mobile device into a second markup language which is supported by the mobile device.

Content markup transformation

Growing community of inventors

Bellevue, WA, United States of America

Rainer Johannes Romatka