Abstract: A method of determining a flow rate of a gas leak in a pressurized gas system includes applying a liquid soap solution to a region of a component, and capturing, via a camera of a portable electronic device, a plurality of sequential images of bubbles formed in the region by an interaction between the liquid soap solution and a gas leak from the component. The plurality of images are analyzed by a first algorithm executed by a processor to determine a total area of the bubbles in the region produced by the leak. A flow rate of the gas leak is then determined via a second algorithm executed by the processor based on the total area of bubbles in the region, a size of the component, and a pressure of the gas.

Abstract: Methods, computer readable media, and apparatuses for building data models and performing model-based analytics are presented. A data analytics system may be implemented including software components to provide a data analytics platform and/or a data analytics programming interface. The components of the data analytics system may allow users to create and execute software applications to build data models model-based analytics functionality such as classification and prediction. For example, a programming interface may allow users to build data models of various predetermined model types, such as statistical data models, spatial statistical data models, graphical data models, pattern mining data models, clustering data models, and machine learning data models, among others, based on an input data set. A parallel computing infrastructure, for example, a cloud computing environment, may be used to build data models and perform model-based analytics with distributed processing and distributed storage.

Abstract: Methods, computer readable media, and apparatuses for building data models and performing model-based analytics are presented. A data analytics system may be implemented including software components to provide a data analytics platform and/or a data analytics programming interface. The components of the data analytics system may allow users to create and execute software applications to build data models model-based analytics functionality such as classification and prediction. For example, a programming interface may allow users to build data models of various predetermined model types, such as statistical data models, spatial statistical data models, graphical data models, pattern mining data models, clustering data models, and machine learning data models, among others, based on an input data set. A parallel computing infrastructure, for example, a cloud computing environment, may be used to build data models and perform model-based analytics with distributed processing and distributed storage.