Abstract: According to some embodiments, a system and method are provided to create a template associated with an industrial problem. The method comprises receiving one or more kernels from a machine learning library. The one or more kernels are then aggregated, via a processor, into a template. The template is integrated into a user interface where is may be executed.

Abstract: According to some embodiments, system and methods for building a model are provided, comprising a display; a memory storing processor-executable process steps; and a processor to execute the processor-executable process steps to cause the system to: present a user interface on a display, the user interface including one or more user-entry fields to build a model, user-entry fields is associated with a selection of big data or small data for use with the model; receive at least one data source in a user-entry field associated with the model; determine if data in the data source includes big data or small data; and in response to the determination of big data or small data in the data source, execute the model with data from the data source in a big data or small data execution environment. Numerous other aspects are provided.

Abstract: The example embodiments are directed to a system and method for integrating domain knowledge into a feature discovery process. In an example, the method includes receiving data associated with an operation of an asset, receiving domain knowledge associated with a subject matter of the asset, performing a feature discovery process based on the received data using the domain knowledge to generate a feature set associated with the operation of the asset, wherein the feature discovery processes reduces a search space of possible features in the received data based on the domain knowledge when generating the feature set, and performing an analytic associated with the operation of the asset based on the domain-knowledge-integrated feature set and outputting information concerning results of analytic for display to a display device. By injecting domain knowledge into the feature discovery process, more accurate features can be identified more efficiently.

Abstract: Systems and methods for predictive modeling of an industrial asset. In some embodiments, a database stores an electronic file containing a machine learning library and predictive modeling tools associated with the industrial asset. A computer processor accesses the machine learning library and predictive modeling tools, provides a model building framework user interface and receives a selection of a feature engineering (FE) technique, including one of evolutionary feature selection, evolutionary feature synthesis, and symbolic regression. Next, an input selection interface is provided, industrial asset input data and parameter data received, and at least one of an evolutionary feature selection process, an evolutionary feature synthesis process, and a symbolic regression process is executed.

Abstract: According to some embodiments, system and methods for building a model are provided, comprising a display; a memory storing processor-executable process steps; and a processor to execute the processor-executable process steps to cause the system to: present a user interface on a display, the user interface including one or more user-entry fields to build a model, user-entry fields is associated with a selection of big data or small data for use with the model; receive at least one data source in a user-entry field associated with the model; determine if data in the data source includes big data or small data; and in response to the determination of big data or small data in the data source, execute the model with data from the data source in a big data or small data execution environment. Numerous other aspects are provided.

Abstract: According to some embodiments, a system and method are provided to create a template associated with an industrial problem. The method comprises receiving one or more kernels from a machine learning library. The one or more kernels are then aggregated, via a processor, into a template. The template is integrated into a user interface where is may be executed.

Abstract: A computer-implemented method includes receiving instructions to execute an analytic, wherein the instructions comprise one or more analytic inputs and a corresponding one or more uncertainty values, and wherein the analytic defines a continuous, monotonic mathematical function. The method includes executing the analytic using the one or more analytic inputs to determine one or more analytic outputs. The method also includes executing an uncertainty calculation to estimate one or more uncertainty outputs corresponding to the one or more analytic outputs, based, at least in part, on the one or more analytic inputs and the corresponding one or more uncertainty values. The method further includes providing the one or more analytic outputs as well as the corresponding one or more uncertainty outputs.

Abstract: A system for generating closed captions is provided. The system includes a speech recognition engine configured to generate one or more text transcripts corresponding to one or more speech segments from an audio signal. The system further includes a processing engine, one or more context-based models and an encoder. The processing engine is configured to process the text transcripts. The context-based models are configured to identify an appropriate context associated with the text transcripts. The encoder is configured to broadcast the text transcripts corresponding to the speech segments as closed captions.

Abstract: A system for generating closed captions from an audio signal includes an audio pre-processor configured to correct one or more predetermined undesirable attributes from an audio signal and to output one or more speech segments. The system also includes a speech recognition module configured to generate from the one or more speech segments one or more text transcripts and a post processor configured to provide at least one pre-selected modification to the text transcripts. Further included is an encoder configured to broadcast modified text transcripts corresponding to the speech segments as closed captions.

Abstract: A method for detecting and modifying breath pauses in a speech input signal includes detecting breath pauses in a speech input signal; modifying the breath pauses by replacing the breath pauses with a predetermined input and/or attenuating the breath pauses; and outputting an output speech signal. A computer program for carrying out the method is also presented.

Abstract: A system for detecting and modifying breath pauses in a speech input signal includes a breath detection unit connected to receive the speech input signal and to detect breath pauses. The system also includes a modification unit connected to receive input from the breath detection unit and to replace the breath pauses with a predetermined input and/or to attenuate the breath pauses. The breath detection unit is further configured to output an output speech signal.

Abstract: A system for detecting potentially adverse conditions includes a plurality of different types of sensors each adapted to monitor a different measured parameter of an infrastructure. The system also includes a model that fuses data from the plurality of sensors and provides an indication of a potentially adverse condition. A method is also provided for detecting potentially adverse conditions.

Abstract: Methods, systems, and computer program products for identifying assets for resource allocation are provided. The method includes gathering data that includes asset data and ambient area data. The asset data relates to each asset in an infrastructure and the ambient area data relates to a geographic region surrounding a corresponding asset. The method also includes analyzing the asset and ambient area data to determine the propensity for an event or condition, occurring within each ambient area, to have an unfavorable impact on the asset. The method further includes rating a severity of the unfavorable impact, and selecting at least one asset in the infrastructure for allocating a resource based upon the rating.

Abstract: A security monitoring system 10 for a large infrastructure 12 is provided. The system includes several magnetometers 14 disposed around an area 16 of the infrastructure. According to aspects of present technique at least one magnetometer 28 is configured to relay an alert signal indicating a change in a magnetic flux profile around the area. A central unit 56 is configured to receive the alert signal from at least one magnetometer and initiate a response to the alert signal.

Abstract: A system and method for monitoring the activities of a resident living independently. Activity sensors distributed around the home collect data on activity in the home. The data is communicated to a remote monitoring center and analyzed. The data is buffered to ascertain whether an event or important transition has occurred in the home. The system also may be utilized to ascertain long-term mobility changes in the resident, deviations from normal sleep patterns, and deviations from a normal wake up time.

Abstract: A knowledge management system and methods for crude oil refining are provided. The knowledge management system and methods enable information, such as crude oil characterizations, the experiences of processing crude oils in the refinery, problems encountered during the processing of crude oil in the refinery, and the treatments applied by personnel of the refinery to counteract those problems, to be captured, organized, and disseminated. The knowledge management system and methods for crude oil refining further provide a basis for running analytical models and other decision support applications to assess risks and financial impacts; thus, allowing users to make informed decisions for crude selection and treatment planning.

Abstract: An Integration Controller integrates broadcast automation systems and thereby provides a single command and control center for monitoring production of the audio and video stream. An event-based schedule, or a “playlist,” specifies the segments to be played along with the necessary timing and hardware information. Each event in the schedule commands the playback or record of a video segment, generation of a special effect, transfer of a video segment from one device to another or closure of one or more video switches. Events may be launched automatically at a specified time, or manually by an operator. An Integration Controller (IC) communicates with an Event Scheduling System via a Scheduling System Interface. The Scheduling System Interface communicates with the Integration Controller via the IC server. The IC server utilizes various modules to communicate with Device Drivers, a Log Manager and one or more User Interfaces.

Abstract: A television network broadcast system includes a scheduling component that includes a user interface accessible by all users who contribute to the creation of a schedule and a plurality of nodes configured to perform actions based on receipt of messages. The nodes include at least one of groups, filters, clients, and servers. The actions include at least one of pass the message along, take a specific action based on receipt of a specific message, block certain types of messages, and initiate new messages.