International Business Machines Corporation

Stephen G Perun

Scott Wayne Weller

Peter Kenneth Malkin

Padmanabhan Santhanam

Theresa C Kratschmer

John Charles Thomas

Jeff R Layton

Kenneth L Pyra

Timothy J Kostyk

Sebastian Wedeniwski

Eric J Allhusen

Stephen P Beever

Jeffrey M Farley

Tim J Kostyk

A method for dynamically linking information in a network using natural language processing on a computer system, the information being contained in a message of a user in the network, where a user interface of a user is provided being adapted for receiving and playing natural language input. The method including: (i) recording information from a first user in the network in natural language; (ii) translating the recorded information in natural language to a text information; (iii) identifying topics in the text information based on topics stored in a predefined database; (iv) combining the identified topics in the message with the set of weighted topics in the user profile of the first user; (v) updating a weight of each of the identified topics in the user profile of the first user; and (vi) publishing the text information.

Dynamically linking information in a network

A system for optimizing at least one of a design, production, or testing process of a product in a mass manufacturing process includes: a central processing unit; a network interface operatively connected to the central processing unit; a storage device; a memory including logic for execution by the central processing unit, wherein the logic includes: a server handler made up of a client applet and a client interface servlet which are configured for enabling authorized end-user communication; an error data collection handler configured for gathering error data; an error data classification handler; an analysis handler; a suggested actions report handler; and the system further includes a server database configured for storing, modifying, and deleting data.

Improving design manufacturing, and transportation in mass manufacturing through analysis of defect data

A computer-implemented method of optimizing at least one of a design, production and testing process in a mass manufacturing process includes steps of: collecting error data relating to a product; classifying the error data into categories of symptoms; mapping the symptom to a revealing condition of the product; mapping the revealing condition to a test type; mapping a scope of a fix to phases of error injection mapping; and recommending modifications to an end user for at least one of the design, production, delivery, and testing process based on the scope of the fix.

Method to improve requirements, design manufacturing, and transportation in mass manufacturing industries through analysis of defect data

A computer-implemented method of optimizing a design of a product in a mass manufacturing process includes steps of: collecting error data relating to a product; classifying the error data into categories of errors to provide classifier error data; analyzing relationships among the classified error data; producing an analysis report; and recommending modifications to an end user for the design of the product.

System to improve requirements, design manufacturing, and transportation in mass manufacturing industries through analysis of defect data

A computer-implemented method of optimizing at least one production or testing processes in a mass manufacturing industry, includes steps of: collecting error data relating to a product at a plurality of points along its production and distribution chain; classifying the error data into categories of errors to provide classified error data; analyzing relationships among the classified error data; and suggesting modifications to at least one of the production or testing processes based on the analysis.

A system and method to schedule data for transmission. The system comprises data generating means, developing means, and transmission scheduling means. The data generating means generates data comprising content data and metadata relating to the content data. The developing means develops a set of input data. The transmission scheduling means produces a continuously updating schedule for transmission of copies of the content data based on the metadata and the set of input data.

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Evans, GA, United States of America

Stephen G Perun