Abstract: The disclosed embodiments illustrate methods and systems for digitizing a document. The method includes receiving at least one first transcription of content of at least one portion of the document from at least one crowdworker, in response to the at least one portion being crowdsourced as a digitization task to the at least one crowdworker. Thereafter, one or more second transcriptions are determined based on the at least one first transcription. The one or more second transcriptions correspond to intended transcriptions for the at least one portion. Further, the one or more second transcriptions are ranked based at least on a measure of similarity between the at least one first transcription and each of the one or more second transcriptions. At least one second transcription is selected from the one or more second transcriptions as an acceptable transcription for the at least one portion based on the ranking.

Abstract: A method is provided for constructing a secret code in a processing unit when in communication with a portable security unit. Mutual authentication messages are exchanged between a linked portable security unit and processing unit. A first portion of the secret code is communicated to the processing unit. The processing unit combines the first portion and a second portion of the secret code stored in the non-volatile memory of the processing unit. The secret code is stored in a volatile memory of the processing unit. A secure operation is performed using the secret code. The portable security unit is de-linked from the processing unit. At least a portion of the secret code is deleted from the volatile memory of the processing unit.

Abstract: A method is provided for constructing a secret code in a processing unit when in communication with a portable security unit. Mutual authentication messages are exchanged between a linked portable security unit and processing unit. A first portion of the secret code is communicated to the processing unit. The processing unit combines the first portion and a second portion of the secret code stored in the non-volatile memory of the processing unit. The secret code is stored in a volatile memory of the processing unit. A secure operation is performed using the secret code. The portable security unit is de-linked from the processing unit. At least a portion of the secret code is deleted from the volatile memory of the processing unit.

Abstract: A method is provided for enhancing service diagnostics for root cause analysis of an identified problem in a vehicle. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled based on a service repair history for each vehicle. Each vehicle within the compiled service data having at least two service repairs performed within a predetermined period of time is identified. Combinations of parts serviced during each service repair are identified. A count is determined that indicates the number of times each combination appears in the compiled service data. The combinations having counts greater than a predetermined threshold are identified. A determination is made whether any of the combinations having counts greater than the predetermined threshold are present in the structural taxonomy database.

Abstract: A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.

Abstract: A method is provided for enhancing service diagnostics for root cause analysis of an identified problem in a vehicle. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled based on a service repair history for each vehicle. Each vehicle within the compiled service data having at least two service repairs performed within a predetermined period of time is identified. Combinations of parts serviced during each service repair are identified. A count is determined that indicates the number of times each combination appears in the compiled service data. The combinations having counts greater than a predetermined threshold are identified. A determination is made whether any of the combinations having counts greater than the predetermined threshold are present in the structural taxonomy database.

Abstract: A method is provided for detecting trends in service repairs for vehicles. Service repair verbatims are accessed from a warranty database that includes information relating to an identified concern with the vehicle. A thesaurus of service repair related terms is provided. The service repair related terms are each associated with at least one of a component category, a concern category, a cause category, and a correction of repair category. Key terms are identified in each service repair verbatim that have an association with the service repair related terms in the thesaurus. The key terms are extracted from each of the service repair verbatims. A user selectively generates a report based on a key term in the component category and at least one other key term from at least one other category. The report identifies an aggregate number of service repair verbatims associated with the key terms selected by the user.

Abstract: A method is provided for enhancing service diagnostics utilizing service repair data of previously serviced vehicles. Service repair data of previously serviced vehicles is obtained from a memory storage device. The service data is compiled into a service diagnostic code dataset and a service labor code dataset. The service diagnostic code dataset and service labor code dataset are categorized into an electronic data table. Respective combinations are formed in the electronic data table. An aggregate count is determined for each respective combination in the electronic data table. Either of a respective diagnostic code or a respective service labor code is identified having a correlation with more than one of either service diagnostic codes or service labor codes. At least one of a service repair procedure used to repair the vehicle or a respective service diagnostic code used to identify the fault is modified in response to analyzing the respective combinations.

Abstract: An integrated diagnosis and prognosis system that collects vehicle information over the life of a vehicle and its development. The system provides the collected vehicle information to supplier management, product development management, service/dealership management, customer relations departments and production facilities, which use the information to take certain action for existing vehicles, fleets of vehicles or future vehicles to improve vehicle reliability and quality.

Abstract: A method is provided for detecting trends in service repairs for vehicles. Service repair verbatims are accessed from a warranty database that includes information relating to an identified concern with the vehicle. A thesaurus of service repair related terms is provided. The service repair related terms are each associated with at least one of a component category, a concern category, a cause category, and a correction of repair category. Key terms are identified in each service repair verbatim that have an association with the service repair related terms in the thesaurus. The key terms are extracted from each of the service repair verbatims. A user selectively generates a report based on a key term in the component category and at least one other key term from at least one other category. The report identifies an aggregate number of service repair verbatims associated with the key terms selected by the user.

Abstract: A method for retrieving records in an order of relevance based on a pre-defined domain ontology. The relevance of each result of the search conducted is decided on the basis of the pre-defined domain ontology. The method includes obtaining a search query as an input from the user containing one or more than one phrases. Then, the set of results from the given set of records is retrieved based on the input search query. The method further includes calculating and assigning a closeness parameter corresponding to each result of the set of results based on the domain ontology. Finally, the set of results is displayed in an order of relevance by sorting in an ascending order the closeness parameter of each of the record present in the set of results.

Abstract: An integrated diagnosis and prognosis system that collects vehicle information over the life of a vehicle and its development. The system provides the collected vehicle information to supplier management, product development management, service/dealership management, customer relations departments and production facilities, which use the information to take certain action for existing vehicles, fleets of vehicles or future vehicles to improve vehicle reliability and quality.

Abstract: A system and method for determining the root cause of a fault in a vehicle system, sub-system or component using models and observations. In one embodiment, a hierarchical tree is employed to combine trouble or diagnostic codes from multiple sub-systems and components to get a confidence estimate of whether a certain diagnostic code is accurately giving an indication of problem with a particular sub-system or component. In another embodiment, a hierarchical diagnosis network is employed that relies on the theory of hierarchical information whereby at any level of the network only the required abstracted information is being used for decision making. In another embodiment, a graph-based diagnosis and prognosis system is employed that includes a plurality of nodes interconnected by information pathways. The nodes are fault diagnosis and fault prognosis nodes for components or sub-systems, and contain fault and state-of-health diagnosis and reasoning modules.

Abstract: A system and method for converting text related to vehicle service to symptom codes. The method includes typing into work orders and service reports statements that describe the various symptoms and problems of a vehicle that is being serviced. The work orders and service reports are then transmitted to a database facility where they are analyzed. Prior to the reports being analyzed, the text in the work order and service reports is read by a machine reader that converts the text to symptom codes that describe particular vehicle conditions and symptoms. A processor analyzes the codes for patterns and other relationships, and can provide a display of such patterns. Further, the codes and reports are stored in a memory.

Abstract: A method for generating a manufacturing process map comprises obtaining sets of N-dimensional expert data from at least three sources, defining a membership function for each set of expert data, applying fuzzy logic operations to said membership functions to generate new membership functions, the new membership functions defining N-dimensional regions within an N-dimensional design space and using one of said N-dimensional regions to generate the manufacturing process map.

Abstract: A method for generating a manufacturing process map comprises obtaining sets of N-dimensional expert data from at least three sources, defining a membership function for each set of expert data, applying fuzzy logic operations to said membership functions to generate new membership functions, the new membership functions defining N-dimensional regions within an N-dimensional design space and using one of said N-dimensional regions to generate the manufacturing process map.