The Boeing Company

Theboeing Company

Kyle Masao Nakamoto

Vyacheslav Khozikov

Scott H Mathews

Vinay T Datar

Alan Eugene Bruce

Daniel J Gadler

Christopher A Forgie

Leonard Jon Quadracci

Brian Warn

James C Russell

Thomas S Richardson

Ken Cobleigh

Henry Chen

William G Arnold

Jaime Antonio Flores, Jr

Kenneth A Cobleigh

Trevor Craig Blanarik

Danielle C Young

Jack M Neu

Trevor L Crowe

Fredwilliam Esguerra

Bill Tollett

Shen Liu

Scott Wadley

Pazion Cherinet

Bryan Shiflett

Tresha L White

Carol Barnhart

There is provided a computer implemented data driven classification and troubleshooting system and method. The system has an interface application enabled to receive data. The system has an associative memory software in communication with the interface application via an API. The associative memory software has an associative memory and a machine learning algorithm. The system has one or more individual areas, within the associative memory, requiring one or more troubleshooting actions to improve accuracy of the individual areas. The system has at least one troubleshooting tool enabled by the interface application. The at least one troubleshooting tool enables or performs the troubleshooting actions. The system has a quality rating metric (QRM) that measures a strength and an assurance that one or more predictions of the associative memory are correct. The one or more troubleshooting actions results in improving the accuracy and the performance of the associative memory.

Data driven classification and troubleshooting system and method using associative memory and a machine learning algorithm to improve the accuracy and performance of the associative memory

A method for processing at least partially unstructured data is provided. The method includes receiving, at a data processing tool, at least partially unstructured data from at least one data source, and processing the at least partially unstructured data to generate at least partially structured data that includes tagged data, wherein processing the at least partially unstructured data includes at least one of processing the at least partially unstructured data using an associative memory application, and processing the at least partially unstructured data using a regular expression processing program. The method further includes transmitting the at least partially structured data to a main application, and incorporating the at least partially structured data into the main application based at least in part on the tagged data, wherein incorporating the at least partially structured data includes at least one of including and excluding data based on the existence, content and/or type of a tag.

Systems and methods for processing data

A method and apparatus for routing a vessel from a start point to an end point. Routes are generated from the start point to the end point based on a number of objectives. A group of waypoints is added between the two waypoints with respect to the region of interest in response to a segment between two waypoints in a route in the routes crossing a region of interest.

Vessel routing system

A system includes an associative memory, a first table, a second table, a comparator, and an updater. The associative memory may include data and associations among data and may be built from the first table. The first table may include a record with a first and second field. The associative memory may be configured to ingest the first field and avoid ingesting the second field. The second table may include a record with a third field storing information indicating whether the first field has been ingested by the associative memory or has been forgotten by the associative memory. The comparator may be configured to compare the first and second table to identify one of whether the first field should be forgotten or ingested by the associative memory. The updater may be configured to update the associative memory by performing one of ingesting or forgetting the first field.

System for updating an associative memory

Systems, methods and computer program products for determining a learning curve value and modeling an associated profitability of a good are provided. According to one method of determining a learning curve value, recurring costs of producing each unit of the good are modeled as a function of potential learning curve values. Nonrecurring costs of producing each unit of the good are then modeled as a function of potential learning curve values. Next, the learning curve value is determined based upon the recurring costs model and the nonrecurring costs value such that the sum of the recurring costs and nonrecurring costs at the determined learning curve value is minimized over the potential learning curve values.

Systems, methods and computer program products for modeling costs and profitability of a good

A method is present for generating a route for a vehicle. A start point and an end point are identified for the vehicle. A spatial model of terrain encompassing the start point and the end point is identified to form an identified spatial model. The route for the vehicle is generated from the start point to the end point using the spatial model based on a cost to traverse a grid point within a grid to meet a number of criteria for energy management for the vehicle.

Optimal vehicle router with energy management system

A computer implemented method, apparatus, and computer usable program code for generating a route for a vessel to travel from a start point to an end point. A start point and an end point for the vessel are identified. A forecast of wave conditions during a period of time is obtained. A model of the vessel is obtained, wherein the model includes parameters used to calculate a response of the vessel to the wave conditions. A route is generated from the start point to the end point for the vessel to travel on using the model of the vessel and the forecast of the wave conditions, wherein the route avoids conditions that may cause a treacherous environment and meets a set of goals.

Method and apparatus for routing ocean going vessels to avoid treacherous environments

A method is provided that includes modeling future demand and/or future supply for a good at one or more segments of a period of time. In accordance with the method, future demand/supply at a respective time segment is modeled based upon a price sensitivity distribution of a unit purchase of the good, as well as a market potential distribution of a number of units of the good in a market associated with the good, during the respective time segment. The price sensitivity distribution and/or the market potential distribution for a respective time segment is based upon a growth rate and an uncertainty for the respective time segment. The method can further include modeling cost and/or profitability of the good at a respective time segment. Profitability can be modeled based upon the demand model and the cost model for the respective time segment.

Systems, methods and computer program products for modeling uncertain future demand, supply and associated profitability of a good

A system, method and computer program product are provided for performing a contingent claim valuation of a combination option including one or more multi-stage contingent claims, and an early-launch contingent claim. The method may include determining a first value representing payoffs attributable to exercise of the early-launch contingent claim at a selected decision point; and a second value representing payoffs the attributable to exercise of the multi-stage contingent claim(s) at respective decision point(s), and a contingent claim at an expiration exercise point. The first and/or second values may be determined based upon a respective present value distribution of contingent future value and a respective present value of an exercise price, the present values including a respective distribution and exercise price discounted according to first and second discount rates, respectively. A value of the contingent claim may then be determined based upon the first value and/or the second value.

System, method and computer program product for performing a contingent claim valuation of a combination option

A system, method and computer program product are provided for performing a contingent claim valuation of a multi-stage option including a plurality of contingent claims exercisable at a plurality of respective exercise points including one or more exercise points before an expiration exercise point. The method may include determining a present value distribution of contingent future benefits attributable to the exercise of the contingent claim at the expiration exercise point, including discounting a distribution of contingent future benefits according to a first discount rate; and determining present values of exercise prices required to exercise the contingent claim at respective exercise points, including discounting exercise prices at respective exercise points according to a second discount rate that need not equal the first discount rate. A value of the contingent claim may then be determined based upon the present value distribution of contingent future benefits and the present values of exercise prices.

System, method and computer program product for performing a contingent claim valuation of a multi-stage option

A system, method and computer program product are provided for determining a minimum future benefits value for exercising a contingent claim of an option. The method may include determining present value distribution(s) of contingent future value and present value(s) of respective exercise price(s) at an expiration exercise point and/or one or more decision points before that point. Determining these present value distribution(s) and present value(s) may include discounting respective distribution(s) and value(s) according to first and second discount rates, respectively. The method may also include repeatedly determining, for a plurality of candidate minimum asset values at a selected decision point, respective values based upon one or more of the present value distribution(s) and one or more of the present value(s), where the respective values may be conditioned on the candidate minimum asset values. A candidate minimum asset value that maximizes the value may then be selected.

System, method and computer program product for determining a minimum asset value for exercising a contingent claim of an option

A system, method and computer program product are provided for performing a contingent claim valuation of an early-launch option including a contingent claim exercisable at one of a plurality of decision points including one or more decision points before an expiration exercise point. The method may include determining first and second values representing payoffs attributable to exercise of a contingent claim at a selected decision point before the expiration exercise point, and at the expiration exercise point, respectively. The first and/or second values may be determined based upon respective present value distribution of contingent future value and a respective present value of an exercise price, the present values including a respective distribution and exercise price discounted according to first and second discount rates, respectively. A value of the contingent claim may then be determined based upon the first value and/or the second value.

System, method and computer program product for performing a contingent claim valuation of an early-launch option

A method is provided that includes modeling demand and/or future supply for a good in a differentiated market. In accordance with the method, demand/supply in a differentiated market is modeled by first modeling demand and/or supply for a good in a non-differentiated market based upon a price sensitivity distribution of a unit purchase of the good, as well as a market potential distribution of a number of units of the good in a market associated with the good. Thereafter, the model of demand and/or supply in the non-differentiated market is integrated to thereby model demand and/or supply for a good in a differentiated market. The method can further include modeling cost and/or profitability of the good in a differentiated market. Profitability can be modeled based upon the demand model and the cost model for the differentiated market.

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Bellevue, WA, United States of America

Kyle Masao Nakamoto