Abstract: A method implemented by a software for a multimodal evaluation engine stored on a memory is provided herein. The software is executable by a processor coupled to the memory to cause the method. The method includes receiving multimodal signatures of an object of interest from inspection elements and processing the multimodal signatures to transform the multimodal signatures into formats. The method also includes generating data representations of the formats and detecting whether anomalies are present within the object of interest based on the data representations.

Abstract: A method and apparatus for verifying object classification includes comparing detected object-components with trained component-based descriptors and similarity measures to generate object classification verification data. The object classification verification data represents object classification confidence or misclassification errors to weight uncertainty for perception-based decision making. A sequence of similarity measures associated with a current frame and prior frames within a reference observation time constraint are compared to a reference temporal similarity measure boundary to generate the object classification verification data.

Abstract: A method implemented by a software for a multimodal evaluation engine stored on a memory is provided herein. The software is executable by a processor coupled to the memory to cause the method. The method includes receiving multimodal signatures of an object of interest from inspection elements and processing the multimodal signatures to transform the multimodal signatures into formats. The method also includes generating data representations of the formats and detecting whether anomalies are present within the object of interest based on the data representations.

Abstract: Rapid prototyping of a process in a business domain, such as a healthcare domain or the United States healthcare domain, is disclosed. A computer is programmed to perform discrete event simulation (DES) of a scenario in the business domain. The DES is defined by a plurality of resources having resource attributes, a plurality of events having event attributes, and a plurality of entities having entity attributes. The computer is programmed to implement a DES simulator configured to run the scenario including performing time steps per resource in which the entities experience events.

Abstract: A method for evaluating system performance can include comparing a test average of instances of variables of test system variables to a baseline average of a baseline variables. Each of the instances of the variable of the test system variables may be shifted by a shift amount for a subset of the variables. A modified test data set may be generated from the shifted test data set. The modified test data set may be transformed with a sparse principal component analysis into test components. The test components may be compared to baseline components using a Hotelling T2 as a test statistic. Performance of the system may be quantified based upon the test statistic.

Abstract: This disclosure is directed to devices and techniques DCDC power conversion. For example, this disclosure describes a DCDC converter that includes both a switched capacitor network and a resonance network. The described converter may be controlled to perform soft switching based on at least one characteristic of the switched capacitor network and/or the resonance network. According to one such example, a switching frequency and/or duty cycle used to control the described converter may be based on one or more of a capacitance value of at least one capacitor component of the capacitor network, and/or an inductance value of at least one inductor component of the resonance.

Abstract: A method for evaluating system performance can include comparing a test average of instances of variables of test system variables to a baseline average of a baseline variables. Each of the instances of the variable of the test system variables may be shifted by a shift amount for a subset of the variables. A modified test data set may be generated from the shifted test data set. The modified test data set may be transformed with a sparse principal component analysis into test components. The test components may be compared to baseline components using a Hotelling T2 as a test statistic. Performance of the system may be quantified based upon the test statistic.