Abstract: Systems, apparatuses, and methods disclosed provide for service assessment. The method includes receiving at least one fault code of an engine control unit (ECU); determining at least one root cause based on the at least one fault code of the ECU; determining an estimated labor time for fixing the at least one root cause; and outputting the at least one root cause and the estimated labor time to a display.

Abstract: An adaptive information processing system for updating product documentation and associated knowledge base is disclosed, the system including at least one subsystem for receiving original data from a data source, and a central dynamic data system to integrate the original data from the at least one subsystem. The central dynamic data system is configured to integrate system knowledge with the original data to form integrated data, wherein the central dynamic data system is configured to dynamically update the product documentation and the knowledge base based on the integrated data. A computer implemented method for dynamically updating product documentation and knowledge base is further disclosed, the method includes receiving original data from a data source, and integrating the knowledge base with the original data from the data source to form integrated data.

Abstract: A method of remotely managing vehicle settings wherein the method includes receiving an identification (ID) code associated with at least one user. The method further includes corresponding the ID code to at least one user profile following verification of the ID code and executing a vehicle setting associated with the at least one user profile. An apparatus for remotely managing vehicle settings is further disclosed. The apparatus includes memory for storing at least one user profile. The apparatus further includes a processor coupled to the memory, the processor configured to receive an identification (ID) code corresponding to the at least one user profile. Furthermore, the processor is in communication with a vehicle processing system operable to execute a vehicle setting associated with the at least one user profile.

Abstract: A system for determining a most probable cause or causes of a problem in a plant is disclosed. The system includes a plant, the plant having a plurality of subsystems that contribute to the operation of the plant, the plurality of subsystems having operating functions that produce operational signals. A plurality of sensors that are operable to detect the operational signals from the plurality of subsystems and transmit data related to the signals is also provided. An advisory system is disclosed that receives an input, the input being in the form of data from the plurality of sensors, possible input root causes of the problem, possible input symptoms of the problem and/or combinations thereof. The advisory system has an autoencoder in the form of a recurrent neural network.

Abstract: An adaptive information processing system for updating product documentation and associated knowledge base is disclosed, the system including at least one subsystem for receiving original data from a data source, and a central dynamic data system to integrate the original data from the at least one subsystem. The central dynamic data system is configured to integrate system knowledge with the original data to form integrated data, wherein the central dynamic data system is configured to dynamically update the product documentation and the knowledge base based on the integrated data. A computer implemented method for dynamically updating product documentation and knowledge base is further disclosed, the method includes receiving original data from a data source, and integrating the knowledge base with the original data from the data source to form integrated data.

Abstract: Example apparatus and methods for estimating a living being's alertness include modeling the sleep-wake cycle using a function generator circuit to model the circadian component, and one or more analog circuits to model the homeostatic and inertial components. In some embodiments of the present invention, temporal scaling is used for more rapid modeling, for example using time periods of seconds or less to represent an hour of the sleep-wake cycle.

Abstract: A battery prognosis system for estimating the remaining useful life of a battery includes a sensor input, a conversion module, and a mapping module. The sensor input is capable of receiving a measurement signal from a sensor measuring properties of the battery. The conversion module is in electronic communication with the sensor input to receive the measurement signal and processes the measurement signal into an output signal of internal parameters of the battery. A mapping model trained on actual battery performance data in the mapping module maps the output signal and time variant parameters related to the output signal to generate a battery life signal corresponding to an estimate of the remaining useful life of the battery.

Abstract: A system for determining a most probable cause or causes of a problem in a plant is disclosed. The system includes a plant, the plant having a plurality of subsystems that contribute to the operation of the plant, the plurality of subsystems having operating functions that produce operational signals. A plurality of sensors that are operable to detect the operational signals from the plurality of subsystems and transmit data related to the signals is also provided. An advisory system is disclosed that receives an input, the input being in the form of data from the plurality of sensors, possible input root causes of the problem, possible input symptoms of the problem and/or combinations thereof. The advisory system has an autoencoder in the form of a recurrent neural network.

Abstract: A distributed diagnosis algorithm based on a multi-signal digraph model of an overall system is provided. In addition, a model enables the generation of a fault-test dependency matrix (D-matrix), which summarizes the detection capabilities of tests designed for faults associated with each node. Each row represents a fault state and each column represents a test.

Abstract: A method for managing a vehicle is disclosed wherein the method includes receiving an identification (ID) code associated with at least one user. The method further includes corresponding the ID code to at least one user profile following verification of the ID code and executing a vehicle setting associated with the at least one user profile. An apparatus for remotely managing a vehicle setting is further disclosed. The apparatus includes memory for storing at least one user profile. The apparatus further includes a processor coupled to the memory, the processor configured to receive an identification (ID) code corresponding to the at least one user profile. Furthermore, the processor is in communication with a vehicle processing system operable to execute a vehicle setting associated with the at least one user profile.

Abstract: Example apparatus and methods for estimating a living being's alertness include modeling the sleep-wake cycle using a function generator circuit to model the circadian component, and one or more analog circuits to model the homeostatic and inertial components. In some embodiments of the present invention, temporal scaling is used for more rapid modeling, for example using time periods of seconds or less to represent an hour of the sleep-wake cycle.