The Boeing Company

William R Ferng

Stephen Robert Poteet

Robert E Cranfill

Yuan-Jye Wu

Anne S-w Kao

Changzhou Wang

Jai Joon Choi

John N Harris

Mingyan Li

Haiqin Wang

Anne Kao

Sidney Ly

Rodney Allen Tjoelker

Jeffrey C Mentel

Lesley H Quach

Gregory L Hooker

A method for microscale calorimeter chamber data manipulation and visualization includes receiving a dataset from a microscale calorimeter chamber. The dataset is indicative of heat release rates for a test material as a function of a temperature applied by the microscale calorimeter chamber to the test material. The method further includes generating a baseline for correcting the heat release rates for the test material based on a selected temperature interval of the dataset. The method also includes generating a modified dataset that includes modified heat release rate values for the test material based on the baseline. The method includes generating a graphical user interface and displaying, via the graphical user interface, a graphical depiction of the modified dataset.

Visualization and manipulation of micro-scale calorimeter chamber data matrices

A method including processing social network data to establish a tensor model of the social network data, the tensor model having at least an order of four. The tensor model is decomposed into a plurality of principal factors. A summary tensor is synthesized from a subset of the plurality of principal factors. The summary tensor represents a plurality of relationships among a plurality of entities in the tensor model. A synthesis of relationships is formed and stored. At least one parameter is identified using one of the summary tensor and a single principal factor in the subset. The at least one parameter is selected from the group consisting of: a correlation among the plurality of entities, a similarity between two of the plurality of entities, and a time-based trend of changes in the synthesis of relationships. The at least one parameter is communicated.

Determination of latent interactions in social networks

A method, apparatus, and computer program product for generating a model. A set of actions associated with a control flow of a set of attack patterns using non-deterministic controls is described to form a control block. A set of ontology references associated with the set of attack patterns is identified. The model is generated and it comprises the control block and the set of ontology references.

Modeling cyberspace attacks

The embodiments described herein describe a computerized system and method for retrieving and processing data to provide dependency and root cause information for a process. The computerized system and method include receiving historic data of the process, detecting temporal dependency or precedence tasks in the process from the historic data, generating a historic dependency graph, aggregating the historic dependency graph into a probabilistic precedence network (PPN), pruning the PPN, and presenting results to a user.

System and method for dependency and root cause discovery

A streaming text data comparator performs real-time text data mining on streaming text data. The comparator receives a streaming text data document and generates a vector representation of the term frequencies relating to an existing document collection. The comparator then transforms the term frequency vector into a projection in a precomputed multidimensional subspace that represents the original document collection. The comparator further calculates a relationship value representing the similarities or differences between the vector representation and the subspace, and compares the relationship value to a predetermined threshold to determine whether the streaming text data document is related to the original document collection. If the streaming text data document is related, the streaming text data comparator intercalates the new document into the document collection. If the new document is not related, the comparator may store or delete the unrelated document.

Streaming text data mining method and apparatus using multidimensional subspaces

A text summarizer identifies relevant terms in a document, weights the terms and extracts one or more segments to produce a summary or abstract. The various terms in a particular are weighted in relation to an existing document collection. A term weight computer computes term weights for terms in the document, and a threshold comparator compares the term weights to determine if the corresponding terms are relevant to the document collection. Next, a term weight summer adds the term weights for each occurrence of each relevant term in the various segments of the document, and a summation comparator compares the summations to identify a text summarization segment representative of the document. Optionally, relevant terms can be highlighted in the term summarization segment.

Text summarization method and apparatus using a multidimensional subspace

Query-based text summarization

Provided are improved methods, apparatus, and computer program products for text differentiation which involves identifying differences between documents with similar content, not merely similar terms, and generating results. Text differentiation provides the ability to find non-similar, or different, content hidden within documents with similar overall content, but not exactly the same content. Text differentiation may be used to quickly identify key differences between similar documents.

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Sammamish, WA, United States of America

William R Ferng