Abstract: A system is described for controlling access to resources using an object model. Users can specify use cases for accessing resources. The user may be granted access if the user satisfies qualifications required for accessing the resource, selected a use case permissible for accessing the resource, and satisfies qualifications required for the use case. Use cases, qualifications, resources, and/or links between them can be implemented using an object model. The system can be used in addition to authentication and authorization.

Abstract: A laser absorption spectrometry system for gas measurement is provided. The system includes an integrated cavity output spectroscopy (ICOS) assembly. The assembly includes a gas cell including a cell body defining an optical cavity, one or more tunable diode lasers having one or more nominal wavelengths, and a reflective collimation mirror positioned in an optical path between the one or more tunable diode lasers and the gas cell.

Abstract: The present disclosure relates to measuring chemical constituents and associated properties of hydrocarbon fuel mixtures, and further relates to tunable diode laser absorption spectrometry gas analyzers having improved chemometric models.

Abstract: The present disclosure relates to systems and methods that include a multiple pump manifold to provide redundancy for use with high availability gas extraction system in industrial instrumentation. A method of operating a redundant pump assembly including operating a first pump of a plurality of pumps for an operation period; validating a second pump of the plurality of pumps at the end of the operation period of the first pump; validating a third pump of the plurality of pumps at the end of the operation period of the first pump; and, operating the third pump for the operation period, where the second pump and third pump are validated as operational.

Abstract: Systems and methods for adaptive and transparent entity screening are provided. In an aspect, a first entity list comprising a plurality of first entity records is accessed. The first entity records comprise a plurality of first entity identifying attributes. A second entity list comprising a plurality of second entity records is also accessed, wherein the second entity records comprise a plurality of second entity identifying attributes. In certain aspects, an entity screening model pairs the first entity identifying attributes of the first entity record with the second entity identifying attributes of the second entity record, executes different matching algorithms on pairs of entity identifying attributes, and determines an overall likelihood that the pair of entity records are a match based on aggregation of match scores from the plurality of matching algorithms.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: Systems and methods for skewed basis set fitting may include obtaining measured absorption data indicative of an amount of absorption of light by a sample gas at each of multiple frequencies, determining an absorption dependent cavity time constant indicative of a skew to the measured absorption data caused by light reflections within a cavity in which the sample gas is contained, obtaining reference absorption data including basis sets indicative of reference amounts of light absorbed by each of multiple gases at each of the multiple frequencies, skewing the reference absorption data based on the absorption dependent cavity time constant to generate skewed reference absorption data, and fitting the measured absorption data to the skewed reference absorption data to identify an amount of at least one constituent gas within the sample gas.

Abstract: Systems and methods for adaptive and transparent entity screening are provided. In an aspect, a first entity list comprising a plurality of first entity records is accessed. The first entity records comprise a plurality of first entity identifying attributes. A second entity list comprising a plurality of second entity records is also accessed, wherein the second entity records comprise a plurality of second entity identifying attributes. In certain aspects, an entity screening model pairs the first entity identifying attributes of the first entity record with the second entity identifying attributes of the second entity record, executes different matching algorithms on pairs of entity identifying attributes, and determines an overall likelihood that the pair of entity records are a match based on aggregation of match scores from the plurality of matching algorithms.

Abstract: Systems and methods for skewed basis set fitting may include obtaining measured absorption data indicative of an amount of absorption of light by a sample gas at each of multiple frequencies, determining an absorption dependent cavity time constant indicative of a skew to the measured absorption data caused by light reflections within a cavity in which the sample gas is contained, obtaining reference absorption data including basis sets indicative of reference amounts of light absorbed by each of multiple gases at each of the multiple frequencies, skewing the reference absorption data based on the absorption dependent cavity time constant to generate skewed reference absorption data, and fitting the measured absorption data to the skewed reference absorption data to identify an amount of at least one constituent gas within the sample gas.

Abstract: Systems and methods for adaptive and transparent entity screening are provided. In an aspect, a first entity list comprising a plurality of first entity records is accessed. The first entity records comprise a plurality of first entity identifying attributes. A second entity list comprising a plurality of second entity records is also accessed, wherein the second entity records comprise a plurality of second entity identifying attributes. In certain aspects, an entity screening model pairs the first entity identifying attributes of the first entity record with the second entity identifying attributes of the second entity record, executes different matching algorithms on pairs of entity identifying attributes, and determines an overall likelihood that the pair of entity records are a match based on aggregation of match scores from the plurality of matching algorithms.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: An automated content annotation workflow is disclosed. An example embodiment is configured for: registering a plurality of labelers to which annotation tasks are assigned; populating a labeling queue with content data to be annotated; assigning annotation tasks from the labeling queue to the plurality of labelers; enabling the plurality of labelers in an annotation review queue to modify or delete annotations applied by prior labelers; and evaluating a level of performance of the plurality of labelers in applying the annotations.

Abstract: A method for plugging a subset of cells of a honeycomb structure that includes: covering a first end face of the honeycomb structure with a mask that comprises a body and a plurality of openings, wherein the plurality of openings of the mask is coincident with a plurality of cells of the honeycomb structure; providing a plenum, a movable plunger and a flow plate; positioning a cylinder between the honeycomb structure and the plenum; dispensing a plugging material into the plenum; moving the plunger toward the flow plate with a force to push the plugging material through the flow plate into the cylinder, the moving generating a pressure in the plenum and the cylinder that forces the plugging material through the mask into the plurality of cells of the honeycomb structure to a predetermined depth; and determining the pressure within the cylinder during the moving of the plunger.

Abstract: A system is described for controlling access to resources using an object model. Users can specify use cases for accessing resources. The user may be granted access if the user satisfies qualifications required for accessing the resource, selected a use case permissible for accessing the resource, and satisfies qualifications required for the use case. Use cases, qualifications, resources, and/or links between them can be implemented using an object model. The system can be used in addition to authentication and authorization.

Abstract: Systems and methods for adaptive and transparent entity screening are provided. In an aspect, a first entity list comprising a plurality of first entity records is accessed. The first entity records comprise a plurality of first entity identifying attributes. A second entity list comprising a plurality of second entity records is also accessed, wherein the second entity records comprise a plurality of second entity identifying attributes. In certain aspects, an entity screening model pairs the first entity identifying attributes of the first entity record with the second entity identifying attributes of the second entity record, executes different matching algorithms on pairs of entity identifying attributes, and determines an overall likelihood that the pair of entity records are a match based on aggregation of match scores from the plurality of matching algorithms.

Abstract: A system is described for controlling access to resources using an object model. Users can specify use cases for accessing resources. The user may be granted access if the user satisfies qualifications required for accessing the resource, selected a use case permissible for accessing the resource, and satisfies qualifications required for the use case. Use cases, qualifications, resources, and/or links between them can be implemented using an object model. The system can be used in addition to authentication and authorization.

Abstract: Systems and methods for adaptive and transparent entity screening are provided. In an aspect, a first entity list comprising a plurality of first entity records is accessed. The first entity records comprise a plurality of first entity identifying attributes. A second entity list comprising a plurality of second entity records is also accessed, wherein the second entity records comprise a plurality of second entity identifying attributes. In certain aspects, an entity screening model pairs the first entity identifying attributes of the first entity record with the second entity identifying attributes of the second entity record, executes different matching algorithms on pairs of entity identifying attributes, and determines an overall likelihood that the pair of entity records are a match based on aggregation of match scores from the plurality of matching algorithms.

Abstract: Aspects of the present disclosure relate to remote configuration of a computing machine. A deployment server receives a request specifying a software configuration and a hardware configuration for a computing machine. The deployment server identifies, out of a plurality of computing machines available for deployment, a specific computing machine meeting the hardware configuration. The deployment server configures the specific computing machine based on the software configuration. The deployment server provides an output indicating that the specific computing machine is configured according to the request.

Abstract: A tunable diode laser absorption spectrometer and a method of processing absorption spectra is used to measure concentrations of selected fuel gas components and calculate several fuel gas parameters, including heating value, relative density, compressibility, theoretical hydrocarbon liquid content and Wobbe index. In the described incarnation, a tunable laser diode directs near-infrared light into an optical cavity through a sample of fuel gas. A sensor measures intensity of light exiting the cavity as the laser wavelength is tuned over a specified range to construct a cavity-enhanced absorption spectrum for the fuel gas. A set of basis spectra for expected component species is used to analyze the spectrum and determine component concentrations, including methane, ethane, carbon dioxide, and other discrete and structured absorbers. Critically, a generic broadband absorption is used to model higher hydrocarbons that present themselves as nearly featureless absorption spectra.