Abstract: A method of producing vehicles comprises: in a vehicle production process, manufacturing vehicle components of different types, and assembling the vehicle components to form vehicles; creating a set of vehicle records, each being a record of one of the vehicles entering active service; performing vehicle repairs on a subset of the vehicles after they have entered active service; creating a respective record of each of the vehicle repairs, each of which comprises or indicates a vehicle age or usage value, and records a vehicle component fault identified in the vehicle repair; receiving at a data processing stage the vehicle records and vehicle repair records, wherein a predictive algorithm executed at the data processing stage processes the received records so as to, for each type of vehicle component: 1) identify a respective set of the vehicle repair records relating to that type of vehicle component, and 2) use the respective set of vehicle repair records to predict a respective number of or resource value

Abstract: A method of producing vehicles comprises: in a vehicle production process, manufacturing vehicle components of different types, and assembling the vehicle components to form vehicles; creating a set of vehicle records, each being a record of one of the vehicles entering active service; performing vehicle repairs on a subset of the vehicles after they have entered active service; creating a respective record of each of the vehicle repairs, each of which comprises or indicates a vehicle age or usage value, and records a vehicle component fault identified in the vehicle repair; receiving at a data processing stage the vehicle records and vehicle repair records, wherein a predictive algorithm executed at the data processing stage processes the received records so as to, for each type of vehicle component: 1) identify a respective set of the vehicle repair records relating to that type of vehicle component, and 2) use the respective set of vehicle repair records to predict a respective number of or resource value

Abstract: A method of producing vehicles comprises: in a vehicle production process, manufacturing vehicle components of different types, and assembling the vehicle components to form vehicles; creating a set of vehicle records, each being a record of one of the vehicles entering active service; performing vehicle repairs on a subset of the vehicles after they have entered active service; creating a respective record of each of the vehicle repairs, each of which comprises or indicates a vehicle age or usage value, and records a vehicle component fault identified in the vehicle repair; receiving at a data processing stage the vehicle records and vehicle repair records, wherein a predictive algorithm executed at the data processing stage processes the received records so as to, for each type of vehicle component: 1) identify a respective set of the vehicle repair records relating to that type of vehicle component, and 2) use the respective set of vehicle repair records to predict a respective number of or resource value

Abstract: A computer-implemented method of predicting vehicle faults, the method comprising, at a data processing stage: receiving: i) sets of telematics data each associated with a vehicle identifier, and ii) a vehicle fault dataset, which records historic vehicle fault events, wherein the vehicle fault events are associated in the datasets with cooperating vehicle identifiers; for each of the vehicle identifiers, determining i) a feature object by processing the associated set of telematics data to determine at least one driving style parameter therefrom, the feature object comprising the at least one driving style parameter, and ii) a training label for the feature object based on one or more of the vehicle fault events associated with that vehicle identifier; and using the feature objects and their training labels to train a predictive component, executed at the data processing stage, to learn causal associations between the driving style parameters and the vehicle fault events, such that a feature object comprisin

Abstract: A method of producing vehicles comprises: in a vehicle production process, manufacturing vehicle components of different types, and assembling the vehicle components to form vehicles; creating a set of vehicle records, each being a record of one of the vehicles entering active service; performing vehicle repairs on a subset of the vehicles after they have entered active service; creating a respective record of each of the vehicle repairs, each of which comprises or indicates a vehicle age or usage value, and records a vehicle component fault identified in the vehicle repair; to receiving at a data processing stage the vehicle records and vehicle repair records, wherein a predictive algorithm executed at the data processing stage processes the received records so as to, for each type of vehicle component: 1) identify a respective set of the vehicle repair records relating to that type of vehicle component, and 2) use the respective set of vehicle repair records to predict a respective number of or resource val

Abstract: A computer-implemented method of predicting vehicle failures comprises: receiving, at a processing stage: i) a vehicle diagnostics dataset, which records historic diagnostic warning events and an associated timing for each diagnostic warning event, and ii) a vehicle fault dataset, which records historic vehicle fault events and an associated timing for each vehicle fault event, wherein the diagnostic warning events and vehicle fault events are associated in their respective datasets with cooperating vehicle identifiers; wherein a predictive algorithm executed at the data processing stage determines whether or not each diagnostic warning event of a target type is time-associated with a diagnostic warning event in that its associated timing is within a predetermined time window relative to that of any vehicle fault event associated with a matching vehicle identifier, and computes, based thereon, a significance value for the target type of diagnostic warning event, the significance value denoting the likelihood

Abstract: A system and method identifies a set of operations or tasks, such as functions, of a programming system or technical computing environment based on a selection of input data. The technical computing environment may have a plurality of operations that may be called and executed. The operations may operate on one or more input arguments that may need to satisfy certain constraints. Upon selection of input data, a matching engine may classify the input data, and compare the classifications of the input data to the input argument constraints of a plurality of operations. The matching engine may identify those operations whose input argument constraints are satisfied by the selected input data, as well as those operations whose input argument constraints are not satisfied by the selected input data. The matching and non-matching operations may be provided to an action unit, which may be configured to perform some task or action with regard to some or all of the operations.

Abstract: A computer-readable storage media for storing computer-executable instructions executable by processing logic causes the processing logic to receive data in a first format for conversion to a second format different than the first format, wherein the data includes information having a first type and information having a second type and display the data in the first format via a graphical interface. One or more translation rules are received relating to processing the information having the first type or the information having the second type. The one or more translation rules are pre-applied to the data in the first format. Effects of the pre-applied rules on the displayed data are displayed via the graphical interface. The data in the first format is converted to the data in the second format based on the one or more translation rules.

Abstract: A computer-readable storage media for storing computer-executable instructions executable by processing logic causes the processing logic to receive data in a first format for conversion to a second format different than the first format, wherein the data includes information having a first type and information having a second type and display the data in the first format via a graphical interface. One or more translation rules are received relating to processing the information having the first type or the information having the second type. The one or more translation rules are pre-applied to the data in the first format. Effects of the pre-applied rules on the displayed data are displayed via the graphical interface. The data in the first format is converted to the data in the second format based on the one or more translation rules.

Abstract: The present invention concerns an article holder for a child seat, the holder comprising a holder portion (6) for holding one or more articles, and a mounting (7) in relation to which said holder portion is movably mounted. The holder portion and said mounting are configured for relative sliding movement there-between along an arcuate path.

Abstract: A method of diagnosing a malfunction of a process control system which includes at least one closed loop control loop comprising measuring a histogram of tracking error of the control loop, determining distortion of the tracking error relative to a Gaussian distribution, and indicating a malfunction in the process in the event a deviation from the Gaussian distribution of the tracking error exceeds predetermined limits.