Abstract: A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition.

Abstract: A biometric sample training device, a biometric sample quality assessment device, a biometric fusion recognition device, an integrated biometric fusion recognition system and example processes in which each may be used are described. Wavelets and a boosted classifier are used to assess the quality of biometric samples, such as facial images. The described biometric sample quality assessment approach provides accurate and reliable quality assessment values that are robust to various degradation factors, e.g., such as pose, illumination, and lighting in facial image biometric samples. The quality assessment values allow biometric samples of different sample types to be combined to support complex recognition techniques used by, for example, biometric fusion devices, resulting in improved accuracy and robustness in both biometric authentication and biometric recognition.

Abstract: Starter control valve failure prediction machines, systems, program products, and computer implemented methods to predict and trend starter control valve failures in gas turbine engines using a starter control valve health prognostic and to make predictions of starter control valve failures, are provided. A computer implemented method according to an embodiment of the present invention can include the steps of generating a continuous starter control valve deterioration trend function responsive to a plurality of health indices derived from gas turbine engine startup data downloaded from gas turbine engine sensors for a plurality of startups and analyzing the continuous starter control valve deterioration trend function to identify potential starter control valve failure points where the points on the starter control valve deterioration trend function correlate to a starter control valve health prognostic responsive to historic gas turbine engine startup data downloaded from gas turbine engine sensors.

Abstract: A network activity visualization system can include an MDL grammar database adapted to store a plurality of MDL grammars, and a pattern matching module adapted to match a received network activity data set against the MDL grammars by calculating a distance of the network activity data set from each MDL grammar. The system can also include an intelligent icon module adapted to receive the MDL grammars and distances of a network data set from each respective MDL grammar, and adapted to generate intelligent icons based on the MDL grammars and distances. The system can further include a display system adapted to display the intelligent icons so as to provide a visual indication of network security.

Abstract: A method and system for fusing a collection of classifiers used for an automated insurance underwriting system and/or its quality assurance is described. Specifically, the outputs of a collection of classifiers are fused. The fusion of the data will typically result in some amount of consensus and some amount of conflict among the classifiers. The consensus will be measured and used to estimate a degree of confidence in the fused decisions. Based on the decision and degree of confidence of the fusion and the decision and degree of confidence of the production decision engine, a comparison module may then be used to identify cases for audit, cases for augmenting the training/test sets for re-tuning production decision engine, cases for review, or may simply trigger a record of its occurrence for tracking purposes. The fusion can compensate for the potential correlation among the classifiers.

Abstract: The present disclosure relates to the use of hybrid predictive models to predict one or more of performance, availability, or degradation of a power plant or a component of the power plant. The hybrid predictive model comprises at least two model components, one based on a physics-based modeling approach and one based on an observational or data-based modeling approach. The hybrid predictive model may self-tune or self-correct as operational performance varies over time.

Abstract: A system for operating an electric or hybrid-electric vehicle includes a computer programmed to identify a location of a vehicle, access a map and identify a plurality of links therein, pre-screen the plurality of links to identify if any of the plurality of links is within a given bounds of the current location, and if one or more possible links are identified, then match the current location of the vehicle to one of the identified links, and upload power data for the vehicle corresponding to the matched location into a database.

Abstract: A system for optimizing energy storage component usage in a vehicle comprising one of a hybrid vehicle and an electric vehicle, the vehicle comprising a computer programmed to identify if a vehicle position is associated with link data in a database of historical power usage data, the link data comprising measured historical power usage data for a link of vehicle travel. If the vehicle position is associated with the link data, the computer is programmed to obtain the link data of the link from the database, the link data absent terrain information from the database. The computer is also programmed to determine an expected vehicle power usage of the vehicle based on the obtained link data and optimize the energy storage component usage based on the expected vehicle power usage and based on efficiency and life cycle costs of an energy storage component of the vehicle if the vehicle position is associated with the link data.

Abstract: A method and system for creating healthy operating envelope from only data samples obtained during normal operation/behavior of dynamic systems is provided. This method determines healthy operating envelope by clustering a stream of discrete event code sequences from the underlying system under normal operation condition only. The method is unsupervised, that is, requiring no prior knowledge of event code patterns corresponding to different operation conditions. Such created envelope can be used for fault detection and health monitoring of dynamic systems.

Abstract: Monitoring dynamic units that operate in complex, dynamic environments, is provided in order to classify and track unit behavior over time. When domain knowledge is available, feature-based models may be used to capture the essential state information of the units. When domain knowledge is not available, raw data is relied upon to perform this task. By analyzing logs of event messages (without having access to their data dictionary), embodiments allow the identification of anomalies (novelties). Specifically, a Normalized Compression Distance (such as one based on Kolmogorov Complexity) may be applied to logs of event messages. By analyzing the similarity and differences of the event message logs, units are identified that did not experience any abnormality (and locate regions of normal operations) and units that departed from such regions.

Abstract: A method to estimate damage propagation is disclosed. The method includes making available a set of input parameters to a computational model, executing the computational model with defined changes within a range of an input parameter of the set of input parameters to define a range of at least one modeled output, receiving at least one signal responsive to and representative of a respective one of an actual sensor output, and estimating damage propagation based upon a correlation of the received signal to the modeled output.

Abstract: A network activity visualization system can include an MDL grammar database adapted to store a plurality of MDL grammars, and a pattern matching module adapted to match a received network activity data set against the MDL grammars by calculating a distance of the network activity data set from each MDL grammar. The system can also include an intelligent icon module adapted to receive the MDL grammars and distances of a network data set from each respective MDL grammar, and adapted to generate intelligent icons based on the MDL grammars and distances. The system can further include a display system adapted to display the intelligent icons so as to provide a visual indication of network security.

Abstract: A method for switching route and a network device are disclosed, wherein the method comprises: setting a relationship between a port number of each destination port and a port number of the transmitting port, the port number of each transmitting port is the port number of the corresponding destination port; when there is a service failure in any destination port, modifying the port number of the transmitting port corresponding to a fault destination port into the port number of the backup port corresponding to the fault destination port in the set relationship, and saving the modified relationship; after receiving a data packet, the network device transmitting the data packet based on the saved relationship. The network device comprises a CPU, a first routing unit and a second routing unit. In accordance with the present invention, the time consumed by modifying routing data can be reduced, enabling the network device to switch route quickly and the user services to recover quickly.

Abstract: Starter control valve failure prediction machines, systems, program products, and computer implemented methods to predict and trend starter control valve failures in gas turbine engines using a starter control valve health prognostic and to make predictions of starter control valve failures, are provided. A computer implemented method according to an embodiment of the present invention can include the steps of generating a continuous starter control valve deterioration trend function responsive to a plurality of health indices derived from gas turbine engine startup data downloaded from gas turbine engine sensors for a plurality of startups and analyzing the continuous starter control valve deterioration trend function to identify potential starter control valve failure points where the points on the starter control valve deterioration trend function correlate to a starter control valve health prognostic responsive to historic gas turbine engine startup data downloaded from gas turbine engine sensors.

Abstract: A circuit interrupter for interrupting current on a line conductor is provided. The circuit interrupter includes separable contacts, a trip mechanism, a bimetal, a microprocessor, a series arc detection sequence, a low-pass filter circuit, and a high-pass filter circuit. The trip mechanism selectively opens the separable contacts when activated. The series arc detection sequence is resident on the microprocessor and includes a plurality of series fault detection algorithms. The low-pass filter circuit provides a low-pass signal to the series arc detection sequence. The high-pass filter circuit provides a high-pass signal to the series arc detection sequence. The sequence selects a particular algorithm from the plurality of algorithms based on the low-pass signal. The sequence calculates a plurality of statistical features from the high-pass signal and sends an output signal to activate the trip mechanism based on a comparison of the plurality of statistical features to the particular algorithm.

Abstract: A method and system for automating the decision-making process used in underwriting of insurance applications is described. While this approach is demonstrated for insurance underwriting, it is broadly applicable to diverse decision-making applications in business, commercial, and manufacturing processes. A structured methodology is used based on a multi-model parallel network of multivariate adaptive regression splines (“MARS”) models to identify the relevant set of variables and their parameters, and build a framework capable of providing automated decisions. The parameters of the MARS-based decision system are estimated from a database consisting of a set of applications with reference decisions against each. Cross-validation and development/hold-out combined with re-sampling techniques are used to build a robust set of models that minimize the error between the automated system's decision and the expert human underwriter.

Abstract: A method and system for automatically developing a fault classification system from time series data. The sensors need not have been intended for diagnostic purposes (e.g., control sensors). These methods and systems are functionally independent of knowledge related to a particular equipment system, thereby allowing seamless application to multiple systems, regardless of the suite of sensors in each system. Because this algorithm is totally automated, substantial savings in time and development cost can be achieved. The algorithm results in a classification system and a set of features that might be used to develop alternative classification systems without human intervention.

Abstract: A system for operating a hybrid vehicle includes a computer programmed to identify a location of a hybrid vehicle, access a map and identify a plurality of links therein, pre-screen the plurality of links to identify if any of the plurality of links is within a given bounds of the current location, and if one or more possible links are identified, then match the current location of the hybrid vehicle to one of the identified links, and upload power data for the hybrid vehicle corresponding to the matched location into a database.

Abstract: A system for optimizing energy storage component usage in a vehicle comprising one of a hybrid vehicle and an electric vehicle, the vehicle comprising a computer programmed to identify if a vehicle position is associated with link data in a database of historical power usage data, the link data comprising measured historical power usage data for a link of vehicle travel. If the vehicle position is associated with the link data, the computer is programmed to obtain the link data of the link from the database, the link data absent terrain information from the database. The computer is also programmed to determine an expected vehicle power usage of the vehicle based on the obtained link data and optimize the energy storage component usage based on the expected vehicle power usage and based on efficiency and life cycle costs of an energy storage component of the vehicle if the vehicle position is associated with the link data.

Abstract: A method for detecting an aerosol plume includes emitting a light beam from a light source, the light beam having at least one light pulse, wherein the light pulse having a pulse width of between about 10 picoseconds (ps) and about 75 nanoseconds (ns), detecting backscattered light produced by the at least one light pulse interacting with particles in the aerosol plume, determining a presence of the aerosol plume based on the detected backscattered light, and outputting a signal indicating the presence of the aerosol plume.