Abstract: An example apparatus for generating real-time director's cuts includes a number of cameras to capture videos of a plurality of participants in a scene. The apparatus also includes a number of microphones to capture audio corresponding to each of the number of participants. The apparatus further includes a role-centric evaluator to receive views-of-participants and a role for each of the participants and rank the views-of-participants based on the roles. Each of the views-of-participants are tagged with one of the participants. The apparatus further includes a view broadcaster to display a highest ranking view-of-participant stream.

Abstract: Distributed industrial process monitoring and analytics systems and methods are provided for operation within a process plant. A plurality of distributed data engines (DDEs) may be embedded within the process plant to collect and store data generated by data sources, such as process controllers. Thus, the data may be stored in a distributed manner in the DDEs embedded throughout the process plant. The DDEs may be connected by a data analytics network to facilitate data transmission by subscription or query. The DDEs may be configured as a plurality of clusters, which may further include local and centralized clusters. The local clusters may obtain streaming data from data sources and stream selected data to a data consumer. The centralized cluster may register the local clusters, receive data therefrom, and perform data analytic functions on the received data. The analyzed data may be further sent to a data consumer.

Abstract: Techniques for requesting and providing process plant data using a source-independent standardized query are provided. A requesting device generates a standardized query to obtain data from one or more data sources, such as relational or non-relational databases. The query utilizes a standardized format that does not depend upon the data source, which query may be generated as a JSON file. The standardized query may not be directly usable for any data sources. Instead, a data device generates one or more source-specific queries upon receipt of the standardized query. The source-specific queries utilize syntax native to each data source to obtain data. In some instances, the received data must be further processed to adjust for different sample times or sampling rates, such as by interpolation. The resulting data from all data sources may be aggregated into a data frame prior to being returned to the requesting device.

Abstract: Distributed industrial process monitoring and analytics systems and methods are provided for operation within a process plant. A plurality of distributed data engines (DDEs) may be embedded within the process plant to collect and store data generated by data sources, such as process controllers. Thus, the data may be stored in a distributed manner in the DDEs embedded throughout the process plant. The DDEs may be connected by a data analytics network to facilitate data transmission by subscription or query. The DDEs may be configured as a plurality of clusters, which may further include local and centralized clusters. The local clusters may obtain streaming data from data sources and stream selected data to a data consumer. The centralized cluster may register the local clusters, receive data therefrom, and perform data analytic functions on the received data. The analyzed data may be further sent to a data consumer.

Abstract: A data analytics service for performing data analytics functions within a distributed process control environment is provided. The service may provide a user interface for creating a first diagram, representing a data model. The first diagram may be configured, compiled, and evaluated using off-line (i.e., historical) data from a distributed process control system, which may include data stored in distributed data engines (DDEs). Following evaluation, the first diagram may be automatically converted into a second diagram that is bound to on-line (i.e., real-time) data sources within the process control environment, which may then be compiled and executed to generate performance or predictive analytics data for the process. The diagrams may comprise a plurality of configurable function blocks or modules, connected logically via wires conveying outputs or inputs of the blocks or modules.

Abstract: Distributed industrial process monitoring and analytics systems and methods are provided for operation within a process plant. A plurality of distributed data engines (DDEs) may be embedded within the process plant to collect and store data generated by data sources, such as process controllers. Thus, the data may be stored in a distributed manner in the DDEs embedded throughout the process plant. The DDEs may be connected by a data analytics network to facilitate data transmission by subscription or query. The DDEs may be configured as a plurality of clusters, which may further include local and centralized clusters. The local clusters may obtain streaming data from data sources and stream selected data to a data consumer. The centralized cluster may register the local clusters, receive data therefrom, and perform data analytic functions on the received data. The analyzed data may be further sent to a data consumer.

Abstract: A technique is provided for providing early fault detection using process control data generated by control devices in a process plant. The technique determines a leading indicator of a condition within the process plant, such as a fault, abnormality, or decrease in performance. The leading indicator may be determined using principal component analysis. A process signal indicating a process variable corresponding to the leading indicator is then obtained and analyzed. A rolling fast Fourier transform (FFT) may be performed on the process signal to generate time-series data with which to monitor the process plant. When the presence of the leading indicator is detected in the time-series data, an alert or other prediction of the condition may be generated. Thus, process faults may be identified using fluctuations and abnormalities as leading predictors.

Abstract: A system for monitoring and analyzing data in a distributed process control system is provided. The system includes a user interface having a set of user controls for selecting and configuring data blocks to create a data diagram representing a data model. The data blocks are associated with data operations, such as data analytics functions, and may be configured by the user for particular instances of general blocks. The data blocks are interconnected by wires conveying outputs or inputs of the blocks, which may also connect data sources to the data blocks. The data sources may include on-line data (i.e., data streams) or off-line data (i.e., stored data) from the process control system. Additional user controls may be used to evaluate the data diagram or convert the data diagram from an off-line to an on-line version.

Abstract: A system for monitoring and analyzing data in a distributed process control system is provided. The system includes a user interface having a set of user controls for selecting and configuring data blocks to create a data diagram representing a data model. The data blocks are associated with data operations, such as data analytics functions, and may be configured by the user for particular instances of general blocks. The data blocks are interconnected by wires conveying outputs or inputs of the blocks, which may also connect data sources to the data blocks. The data sources may include on-line data (i.e., data streams) or off-line data (i.e., stored data) from the process control system. Additional user controls may be used to evaluate the data diagram or convert the data diagram from an off-line to an on-line version.

Abstract: Embodiments of the present invention provide diagnostic markers of immunosenescence and methods of identifying individuals with impaired immune function based on a combination of such markers obtained from various analyzes, primarily from blood, testing immune function including the analysis of immune cell subset frequencies, gene expression, cytokine and chemokine levels, and signaling responses to stimulation with cytokines (‘cytokine response’). Particular combinations of markers can predict with high accuracy whether an individual will respond to active vaccination and become protected against recurring diseases.

Abstract: Distributed industrial process monitoring and analytics systems and methods are provided for operation within a process plant. A plurality of distributed data engines (DDEs) may be embedded within the process plant to collect and store data generated by data sources, such as process controllers. Thus, the data may be stored in a distributed manner in the DDEs embedded throughout the process plant. The DDEs may be connected by a data analytics network to facilitate data transmission by subscription or query. The DDEs may be configured as a plurality of clusters, which may further include local and centralized clusters. The local clusters may obtain streaming data from data sources and stream selected data to a data consumer. The centralized cluster may register the local clusters, receive data therefrom, and perform data analytic functions on the received data. The analyzed data may be further sent to a data consumer.

Abstract: A system for monitoring and analyzing data in a distributed process control system is provided. The system includes a user interface having a set of user controls for selecting and configuring data blocks to create a data diagram representing a data model. The data blocks are associated with data operations, such as data analytics functions, and may be configured by the user for particular instances of general blocks. The data blocks are interconnected by wires conveying outputs or inputs of the blocks, which may also connect data sources to the data blocks. The data sources may include on-line data (i.e., data streams) or off-line data (i.e., stored data) from the process control system. Additional user controls may be used to evaluate the data diagram or convert the data diagram from an off-line to an on-line version.

Abstract: A data analytics service for performing data analytics functions within a distributed process control environment is provided. The service may provide a user interface for creating a first diagram, representing a data model. The first diagram may be configured, compiled, and evaluated using off-line (i.e., historical) data from a distributed process control system, which may include data stored in distributed data engines (DDEs). Following evaluation, the first diagram may be automatically converted into a second diagram that is bound to on-line (i.e., real-time) data sources within the process control environment, which may then be compiled and executed to generate performance or predictive analytics data for the process. The diagrams may comprise a plurality of configurable function blocks or modules, connected logically via wires conveying outputs or inputs of the blocks or modules.

Abstract: Techniques for requesting and providing process plant data using a source-independent standardized query are provided. A requesting device generates a standardized query to obtain data from one or more data sources, such as relational or non-relational databases. The query utilizes a standardized format that does not depend upon the data source, which query may be generated as a JSON file. The standardized query may not be directly usable for any data sources. Instead, a data device generates one or more source-specific queries upon receipt of the standardized query. The source-specific queries utilize syntax native to each data source to obtain data. In some instances, the received data must be further processed to adjust for different sample times or sampling rates, such as by interpolation. The resulting data from all data sources may be aggregated into a data frame prior to being returned to the requesting device.

Abstract: A technique is provided for providing early fault detection using process control data generated by control devices in a process plant. The technique determines a leading indicator of a condition within the process plant, such as a fault, abnormality, or decrease in performance. The leading indicator may be determined using principal component analysis. A process signal indicating a process variable corresponding to the leading indicator is then obtained and analyzed. A rolling fast Fourier transform (FFT) may be performed on the process signal to generate time-series data with which to monitor the process plant. When the presence of the leading indicator is detected in the time-series data, an alert or other prediction of the condition may be generated. Thus, process faults may be identified using fluctuations and abnormalities as leading predictors.

Abstract: A pump for one or more different process fluids is provided including a pumping chamber having a process fluid inlet and outlet coupled to a process fluid valve on each pumping chamber for selectively preventing and allowing flow of process fluid through the pumping chamber. An actuation mechanism for pumping actuating fluid to actuating fluid chambers is provided that is in communication with the actuating fluid chambers to permit flow into each actuating fluid chamber of incompressible actuating fluid. A diaphragm separates each pumping chamber from an associated actuating fluid chamber for separating process fluid from actuating fluid. The actuation mechanism is removable by a quick disconnect that provides for disconnection of the activation mechanism without affecting process fluid. Operation of the actuation mechanism to displace actuating fluid causes actuating fluid to flow only into each actuating fluid chamber having an opened process fluid valve, resulting in pumping.

Abstract: A pump for one or more different process fluids is provided including a pumping chamber having a process fluid inlet and outlet coupled to a process fluid valve on each pumping chamber for selectively preventing and allowing flow of process fluid through the pumping chamber. An actuation mechanism for pumping actuating fluid to actuating fluid chambers is provided that is in communication with the actuating fluid chambers to permit flow into each actuating fluid chamber of incompressible actuating fluid. A diaphragm separates each pumping chamber from an associated actuating fluid chamber for separating process fluid from actuating fluid. The actuation mechanism is removable by a quick disconnect that provides for disconnection of the activation mechanism without affecting process fluid. Operation of the actuation mechanism to displace actuating fluid causes actuating fluid to flow only into each actuating fluid chamber having an opened process fluid valve, resulting in pumping.

Abstract: A pump for one or more different process fluids is provided including a pumping chamber having a process fluid inlet and outlet coupled to a process fluid valve on each pumping chamber for selectively preventing and allowing flow of process fluid through the pumping chamber. An actuation mechanism for pumping actuating fluid to actuating fluid chambers is provided that is in communication with the actuating fluid chambers to permit flow into each actuating fluid chamber of incompressible actuating fluid. A diaphragm separates each pumping chamber from an associated actuating fluid chamber for separating process fluid from actuating fluid. The actuation mechanism is removable by a quick disconnect that provides for disconnection of the activation mechanism without affecting process fluid. Operation of the actuation mechanism to displace actuating fluid causes actuating fluid to flow only into each actuating fluid chamber having an opened process fluid valve, resulting in pumping.

Abstract: A pump for one or more different process fluids is provided including a pumping chamber having a process fluid inlet and outlet coupled to a process fluid valve on each pumping chamber for selectively preventing and allowing flow of process fluid through the pumping chamber. An actuation mechanism for pumping actuating fluid to actuating fluid chambers is provided that is in communication with the actuating fluid chambers to permit flow into each actuating fluid chamber of incompressible actuating fluid. A diaphragm separates each pumping chamber from an associated actuating fluid chamber for separating process fluid from actuating fluid. The actuation mechanism is removable by a quick disconnect that provides for disconnection of the activation mechanism without affecting process fluid. Operation of the actuation mechanism to displace actuating fluid causes actuating fluid to flow only into each actuating fluid chamber having an opened process fluid valve, resulting in pumping.

Abstract: A medical pump with a closed loop stroke feedback system and method, for use with a pumping chamber, for example in a cassette, is disclosed. The pump includes a pumping element that intermittently pressurizes a pumping chamber during a pumping cycle. A pressure sensor detects the pressure exerted by the pumping element on the pumping chamber. A position sensor detects the position of the pumping element. A processing unit processes pressure data from the pressure sensor and position data from the position sensor to determine a calculated stroke volume of the pump for a pump cycle, and to adjust a stroke frequency of the pump to compensate for variation in the stroke volume.