Microsoft Technology Licensing, LLC

The Boeing Company

Robert C Wang

Yu Fan Chen

Shih-Jong James Lee

Kuansan Wang

Zijian Zheng

An Yan

Blake Edward Anderson

Mingyang Zhao

Frederic H Behr, Jr

Toby H Walker

Shahram Rahmani

Jenson H Leu

Methods and data structures are provided for allowing data mining with improved efficiency. During processing of a usage log (or multiple logs) for an activity, such as a usage logfile of network search activity, a common fact table is generated. The common fact table allows a plurality of auxiliary data structures to be formed from the common fact table. These auxiliary data structures are designed to allow users to submit queries against the contents of the data structure in order to investigate the data. The efficiency of access of the common fact table is improved by allowing users to access auxiliary data structures other than the auxiliary data structures that are associated with a user. Optionally, the common fact table and/or the auxiliary data structures can include dimension values that correspond to both pre-identified dimension values as well as dimension values that are identified during processing of the activity logfiles.

Distributed data warehouse

The ranking quality of a ranked list may be evaluated. In an example embodiment, a method is implemented by a system to access log data, ascertain which entries of a ranked list are skipped, and determine a ranking quality metric from the skipped entries. More specifically, log data that reflects user interactions with a ranked list having multiple entries is accessed. The user interactions include at least indications of which of the multiple entries are selected entries. It is ascertained which entries of the multiple entries of the ranked list are skipped entries based on the selected entries. The ranking quality metric for the ranked list is determined responsive to the skipped entries.

Evaluating the ranking quality of a ranked list

Methods and systems consistent with the present invention include developing a real-time caution and warning (CW) and system health management (HM) software, having an architecture that partitions the application software into two major components: a) a Bytecode, which is an organized collection of CW and/or HM data objects that defines the components and attributes of that particular application function within the given system, and b) a software entity, called the Virtual Engine (VE), which is executed within an embedded system, which takes as its input the 'Bytecode' that it manipulates according to a predefined instruction set. The system user or designer can define, design, test, and validate the system using a user-friendly tool. The VE is intended to be reusable within the CW and system HM application domain.

Apparatus and method for real-time caution and warning and system health management

A method of determining the location of a barcode block comprising the steps of reducing an input image, rejecting background clutter, detecting barcode regions, extracting barcode moment-based features, and determining four corner points of said barcode block. This method of determining the location of a barcode block can be implemented in a single PC card and achieve a throughput of more than 16 documents per second.

Barcode location determination

Growing community of inventors

Redmond, WA, United States of America

Robert C Wang