The Boeing Company

John Desmond Whelan

Jaime Antonio Flores, Jr

Matthew R Pope

Leonard Jon Quadracci

Brian Warn

William G Arnold

Melissa H Lewis

Keith Lorentz Johnson

Glenn Alan Hancock

Harry Eldridge Stovall, Iii

Described are methods and systems for Virtual Multi-Dimensional Quick Response (VMDQR) codes, used for transferring data sets between code initialization devices and code retrieval devices, such as smartphones and other like devices. A VMDQR code is capable of encoding and sharing large amounts of data, regardless of the space available on an object. The amount of the encoded data depends on the dimensionality of the VMDQR code. A VMDQR code is incorporated into an augmented image, presented on a user interface of a code retrieval device. For example, an image of a real object, which does not have any physical codes, is augmented by adding a VMDQR code to give a representation of an object with a code. The VMDQR code is then scanned from the user interface using a scanner to transfer the encoded data to the scanner.

Virtual multi-dimensional quick response codes

A method includes determining a comparative valuation for an asset including one or more objects. Specification data for the asset is retrieved, and comparable objects including two or more attributes are generated. Each attribute includes an attribute category and an associated attribute value. Comparison weights are received for attribute categories, and analogous object data is retrieved for analogous objects that are each analogous to the comparable object. The analogous object data includes attributes that are each analogous to one of the attributes of the comparable object. Each analogous attribute includes a category, a value, and a valuation. A comparative valuation for the object is output based on the associated attribute values for the comparable object, the associated analogous attribute values for each analogous object, the valuation of each analogous object, and the comparison weights. The comparative valuation for the asset is output based on the comparative valuations for each object.

Methods for determining a comparative valuation for an asset

In general, an improved flight delay prevention system is provided. Flight data, such as ARINC data, is acquired by a data acquisition device. Then a plurality of comparable objects using flight data is created. Each comparable object includes an object type and an object value. Then, one or more flight systems corresponding to possible delays is identified. Next, for each identified flight system, a comparable object is extracted and flight system is compared. Then, an ordered list of object type routes is obtained. A weighted average of all delay fields is then calculated. Finally, a current delay value is transmitted to a mobile device.

System and method for flight delay prevention in real-time

Methods for virtual multi-dimensional quick response codes

A tablet computing device displays training content to a user. Upon detecting the user-selection of a term in the content, the tablet computing device identifies one or more categories that are associated with the selected term and obtains additional training resources related to the user-selected term based on those categories. Additionally, the tablet computing device captures the image of a vehicle, such as an aircraft, within its field of view for display to the user. Given the image, the tablet computing device identifies areas on the vehicle that may be related to the user-selected term and generates touch controls for those areas. The user can touch those controls to retrieve the additional training resources.

System and method for obtaining resource materials based on attribute association

A computer based method for utilizing static content in a dynamic environment to provide at least one defined functionality is described. The method includes identifying at least one function to be associated with the static content and the dynamic environment, identifying at least one state for each identified function, defining, in a computer memory, each identified state within a page object, the page object also defining within the computer memory page states and output attributes associated with output templates within the page object, creating, in the computer memory, output templates for each identified state, creating presentation pages and logic objects in the computer memory for each function, and creating engines to be executed by at least one computer processing device, each engine representing a function, the engines operable to use a corresponding page object to direct data traffic among the defined states within the computer memory.

Methods and systems for state-based web framework architecture

A method for allowing a computer to classify an input containing data. A list of categories is received. A sub list of categories is selected, wherein the sub-list comprises those categories in the list that have corresponding distinct correlation scores above a predetermined value. Input data that tends to over correlate to the classification system is received. A truncated snapshot is generated, the truncated snapshot comprising only attributes from the plurality of input attributes that have corresponding input categories that match categories in the sub-list of categories. The data is classified using the truncated snapshot and the classification system.

Devices and method for scoring data to quickly identify relevant attributes for instant classification

A system including an associative memory and an input device configured to receive a first query or comparison request. The associative memory is configured to: responsive to receiving the first query or comparison request, locate an entity value having an attribute value matching a term of the first query or comparison request; responsive to locating the entity value, return a first list of results including the entity value; add, as a required search term, at least one of first results from the first list to a second query or comparison request, the second query or comparison request further including all terms of the first query or comparison request; perform the second query or comparison request and, as a result, return a second list of resource references; use the second list to retrieve source data; combine the entity value with the source data to form a combination; and return the combination.

Identifying contextual results within associative memories

A method, system, and computer program product for predicting fuel consumption for a vehicle operation is provided. An associative memory device is accessed, using one or more attributes of an operation plan for the planned vehicle operation, to determine at least one historical vehicle operation from a plurality of historical vehicle operations that is similar to the planned vehicle operation. The associative memory device contains data for a plurality of attributes and collected from the plurality of historical vehicle operations. The at least one historical vehicle operation is determined by applying a respective weight defined within the associative memory device to data values for each of the plurality of attributes. Fuel consumption data for the planned vehicle operation is predicted, based on historical fuel consumption data corresponding to the at least one historical vehicle operation. The predicted fuel consumption data is output.

Fuel consumption predictions using associative memories

A computing system, method and computer program product are provided to present additional information regarding a map of a port of interest, such as an airport. In the context of a computing system, the computing system includes processing circuitry configured to receive an indication of a map of a port of interest and to compare attributes representative of the map of the port of interest to attributes representative of one or more maps of other ports. The processing circuitry is also configured to identify at least one of the one or more maps of other ports to satisfy a similarity threshold based upon a comparison of the attributes. The computing system also includes a user interface responsive to the processing circuitry and configured to provide information regarding the at least one of the one or more maps of other ports along with the map of the port of interest.

Computing system and method for identifying similar maps of a port of interest

A method and apparatus for managing a simulation. The method comprises detecting a user input manipulating a virtual control on a control panel displayed in a target output location on a display system in a simulator during the simulation of a platform. Further, the method comprises identifying a sound for the virtual control when the user input is detected. Still further, the method comprises controlling a speaker system to output the sound identified during the simulation in a manner that is perceived by a human operator to be from the target output location.

Sound generator for virtual switches in a simulator

The advantageous embodiments include a system for operating machinery in a manufacturing environment. The system includes a sensor system and a computer. The sensor system is configured to distinguish human skeletal positions from non-human object positions and to determine whether one or more humans are present in a predetermined area. The computer is configured to: responsive to determining that only the one or more humans are in the predetermined area, determine whether a false positive result has occurred, wherein the false positive comprises a first determination that the one or more humans are present when no human is actually present. The computer is also configured to: responsive to determining that the false positive result has not occurred, the taking an action selected from the group consisting of issuing an alert, stopping the machinery, or a combination thereof.

Using human motion sensors to detect movement when in the vicinity of hydraulic robots

A method for identifying a motion of interest of an individual. The method includes receiving input data from a non-invasive motion sensor measuring movements of a person. The method also includes collecting motion sensor data for an interval of time. The illustrative embodiments also provide for analyzing the motion sensor input data using an analysis application having a set of classified pre-determined motions. The analysis application classifies a movement captured during the interval of time as a motion corresponding to particular a pre-determined motion among a plurality of pre-determined motions. Classification is performed based on shared relative values among the motion sensor input data and the particular pre-determined motion. The illustrative embodiments also provide for generating an output that provides a translation of the movement for identification of a predetermined motion of interest that represents an undesirable ergonomic aspect.

Obtaining metrics for a position using frames classified by an associative memory

A method, system, and computer program product for predicting fuel consumption for a vehicle operation is provided. Data for historical vehicle operations is stored in an associative memory and includes values for different attribute categories. The values of the attribute categories for the historical vehicle operations are compared to values of the attribute categories for a planned vehicle operation to identify historical vehicle operations that are most similar to the planned vehicle operation. Historical vehicle operations that are most similar to the planned vehicle operation are returned from the associative memory and the fuel consumption values for the historical vehicle operations are used to generate a predicted fuel consumption for the planned vehicle operation. An average, weighted average, maximum, or minimum fuel consumption value from the historical vehicle operations could be used as the predicted fuel consumption value for the planned vehicle operation.

A system comprising an associative memory, an input module, a query module, and a display module. The input module is configured to receive a value within a first perspective of the associative memory. The query module is configured to perform an open query of the associative memory using the value, perform the open query within at least one of an insert perspective and a second perspective of the associative memory. The at least one of the insert perspective and the second perspective has as many or more category associations for the value relative to the first perspective. The display module is configured to display a result of the query and to display a list of one or more potential ambiguities that result from the open query.

Growing community of inventors

Burien, WA, United States of America

John Desmond Whelan