The Boeing Company

Mach Transonic LLC

Critical Informatics, Inc.

Fredrick Baden Holt

Yuan-Jye Wu

Stephen Robert Poteet

Viggo K Hansen

Anne Shu-Wan Kao

Daniel John Pierce

Sean Michael Maloy

William James Whitlock, Jr

Andrew James Booker

Dziem D Nguyen

Michelle Keim Condliff

D Dean Billheimer

Mark Thomas Greaves

A system for processing essential oils includes a mixing tank, three winterization vessels, three respective filtering vessels, a fine filtering vessel, a holding tank, an evaporator, an essential oil reservoir, a solvent reservoir, and a solvent filtering vessel. The evaporator can include a heat exchanger configured to heat a plate down which a mixture including the oils flows, to evaporate other components of the mixture. Fluids can be advanced through the system using a pressurized inert gas.

Systems and methods for processing essential oils

A system to organize, search and display unstructured data comprising a token retrieval module, a document indexing engine, a subspace search module and a user interface module has been devised. The system retrieves a plurality of tokens and associates them with coordinates in subspace. It also retrieves documents and creates a multidimensional matrix of documents and tokens where each cell contains the number of times the token occurs in each document. That matrix is employed in a search using user specified search terms. The search results are displayed such that the search tokens occupy specific spatial coordinates and documents spatial coordinates are dictated by the relative preponderance of each search term in each document.

System to organize search and display unstructured data

Methods, apparatus and computer program products are provided for retrieving information from a text data collection and for classifying a document into none, one or more of a plurality of predefined classes. In each aspect, a representation of at least a portion of the original matrix is projected into a lower dimensional subspace and those portions of the subspace representation that relate to the term(s) of the query are weighted following the projection into the lower dimensional subspace. In order to retrieve the documents that are most relevant with respect to a query, the documents are then scored with documents having better scores being of generally greater relevance. Alternatively, in order to classify a document, the relationship of the document to the classes of documents is scored with the document then being classified in those classes, if any, that have the best scores.

Methods, apparatus and computer program products for information retrieval and document classification utilizing a multidimensional subspace

A text mining program is provided that allows a user to perform text mining operations, such as: information retrieval, term and document visualization, term and document clustering, term and document classification, summarization of individual documents and groups of documents, and document cross-referencing. This is accomplished by representing the text of a document collection using subspace transformations. This subspace transformation representation is performed by: constructing a term frequency matrix of the term frequencies for each of the documents, transforming the term frequencies for statistical purposes, and projecting the documents or the terms into a lower dimensional subspace. As the document collection is updated, the subspace is dynamically updated to reflect the new document collection.

Method and system for text mining using multidimensional subspaces

An apparatus and method for implementing a neural network having N nodes coupled to one another by interconnections having interconnect weights T.sub.ij that quantify the influence of node j on node i. The apparatus comprises a node circuit for each node and a data processor. The data processor receives one or more library members, and transmits the interconnect weights to the node circuits. The data processor also stores a current state vector, and receives input data representing a library member to be retrieved. The data processor then performs an iteration in which the current state vector is sent to the node circuits, and an updated state vector is received from the node circuits, the iteration being commenced by setting the current state vector equal to the input data. Each node circuit comprises one or more stochastic processors for multiplying the state vector elements by the corresponding interconnect weights, to determine the updated state vector. Each stochastic processor preferably includes means for generating a pseudorandom sequence of numbers, and using such sequence to encode the interconnect weights and state vector elements into stochastic input signals that are then multiplied by a stochastic multiplier comprising delay means and an AND gate.

Neural network using stochastic processing

Growing community of inventors

Seattle, WA, United States of America

Fredrick Baden Holt