General Electric Company

Paul Edward Cuddihy

Jenny Marie Weisenberg

Kareem Sherif Aggour

Catherine Mary Graichen

Meena Ganesh

Jenny Marie Weisenberg Williams

Daniel Joseph Cleary

Vijay Shiv Kumar

Christopher Donald Johnson

Jeffrey Michael Ashe

Steven Hector Azzaro

Kunter Seref Akbay

David Toledano

Vrinda Rajiv

Anthony Joseph Vinciquerra

Corey Nicholas Bufi

Timothy Lee Johnson

Onur Ilkin Dulgeroglu

LiJie Yu

Justin Despenza McHugh

Justin De Spenza McHugh

Ravi Kiran Reddy Palla

Paul Glendenning Saldin

Gopi Subramanian

Michael Thomas Beyerle

Rasiklal Punjalal Shah

Sahika Genc

Tarik Yardibi

Richard Gerald Bliley

Steven Matt Gustafson

William Roy Schneider

Louis Andrew Schick

David Wayne Duckert

Gregory John Fera

Varish Vyankatesh Mulwad

Mark Mitchell Kornfein

Michael James Pierro

William Estel Cheetham

Gregory James Hampson

James Edward Schlabach

Keith D Kuhnly

Luis Babaji Ng Tari

Kimberley Marie Mangino

Jeremiah Francis Donoghue

Thomas Giles Szudajski

Luis Ivan Gomez Meneses

Alfredo Gabaldon Royval

Jenny Marie Williams

According to some embodiments, a system, method and non-transitory computer-readable medium are provided comprising receiving a node group at an integration module, wherein the node group includes one or more requests for internal data and external data, wherein internal data is data stored in an internal datastore and external data is data stored outside of the internal data store; identifying in a configuration data, one or more meta-data nodes from the node group, wherein each meta-data node indicates a request for external data; retrieving the internal data via execution of an internal data query; determining an order of execution for the one or more meta-data nodes; executing a first meta-data node based on the determined order to generate a first result; ingesting the first result into a semantic datastore; and executing a query to generate a final result, wherein the query includes the retrieved internal data and the ingested first result. Numerous other aspects are provided.

System and method for performing semantically-informed federated queries across a polystore

A system for querying a federated data store includes a metadata knowledge graph describing the contents and relationships among one or more underlying data stores, an interactive user interface receiving requests from a data consumer, a predefined constrainable query ('nodegroup') store containing predefined constrainable queries that define data subsets of interest across one or more of the underlying data repositories, a knowledge-driven querying layer generating and executing queries against the federated data store and merging responsive results, a scalable analytic execution layer receiving the search results from the federated data store and applying machine learning/artificial intelligence techniques to analyze the results, and a user interface presenting visualizations of raw or analyzed results to the consumer. A method and a non-transitory computer-readable medium are also disclosed.

Knowledge-driven federated big data query and analytics platform

Some embodiments are directed to systems for authoring predictive models. An embodiment includes a computer system implementing a development environment for generating predictive models. The predictive model authoring tool is configured to perform a modeling operation based on one or more user inputs provided to interface controls of the predictive model authoring tool, determine a modeling context for the modeling operation, log the one or more user inputs, generate a predictive model based on one or more model parameters defined during the modeling operation, link the predictive model to an asset, such that one or more sets of data received from the asset are provided to the predictive model during execution of the predictive model, cause the predictive model to be executed such that the predictive model receives data from the asset, and provide the modeling context, the one or more user inputs, and the one or more model parameters.

Methods and systems for capturing analytic model authoring knowledge

A system to generate and run federated queries against a plurality of data stores storing disparate data types, the system including a user interface receiving query details from a data consumer, a metadata knowledge graph containing metadata for links and relationships of the data stores, a knowledge-driven querying layer accessing the graph and selecting predefined constrainable queries from a nodegroup store and applying the metadata links/relationships to the predefined constrainable queries to assemble subqueries, a query and analysis platform providing the subqueries to some of the data stores for execution, a scalable analytic execution layer receiving and aggregating search results from the data stores into a merged search result and/or obtaining analytic results by applying machine learning and artificial intelligence techniques to the distributed data, the user interface presenting visualizations generated from the merged search results, and/or the analytic results. A system and a non-transitory computer-readable medium are also disclosed.

A method of augmenting a semantic query of multiple external data sources including receiving a request to search a data store for fields-of-interest designated by a user, applying path-finding technique(s) to identify connections between the fields-of-interest in a semantic model, generating a query based on the connections, intercepting the executing query to determine if data for the fields-of-interest are contained in an external data store, if so identifying an external data service to retrieve external data, executing a semantic query on a triple store, fusing results from the semantic query with the retrieved external data, and providing the fused results to the user computing device. A system and a non-transitory computer readable medium are also disclosed.

Service layer augmentation of response to semantically-informed query of arbitrary external data sources

A method in a computer system includes displaying a user interface screen to aid in generating search queries for a semantic database. The user may select two or more data classes from a displayed class hierarchy. Analysis of the semantic database may lead to generating and displaying one or more paths via class relationships between selected data classes. The user may interact with a displayed path of class relationships to provide input to the system, and from that input the system may automatically generate a search query.

Method and tool for browsing semantic data and creating queries using a domain/range representation

Certain embodiments of the disclosure may include systems and methods for process alarm reduction. According to an example embodiment of the disclosure, a method is provided for process alarm reduction. The method can include generating at least one alarm event modality based at least in part on the received alarm information or alarm events; filtering the received alarm information or alarm events using the at least one alarm event modality; and prioritizing at least a portion of the filtered alarm information or alarm events.

Systems and methods for process alarm reduction

Methods, systems and non-transitory computer readable mediums that store instructions executable by one or more processors to perform a method for detecting a fallen person are presented. The present technique includes identifying a reference plane and a reference line in a designated space monitored using one or more range-controlled radars. These radars are coupled to one or more antennas configured to define fields of the range-controlled radars to one or more portions of the designated space, where at least one portion corresponds to the reference plane. The range-controlled radars detect presence of one or more parameters corresponding to a subject disposed in the designated space. The parameters, for example, include one or more physiological parameters and one or more motion parameters. The range-controlled radars then identify the subject as the fallen person if the one or more physiological parameters corresponding to the subject are detected proximate the reference plane.

Radar based systems and methods for detecting a fallen person

Methods and systems for monitoring a subject in a resting state using one or more range-controlled radars are presented. The radars non-invasively detect one or more motion and/or physiological parameters corresponding to the subject. The motion parameters comprise one or more activity levels and the physiological parameters comprise one or more of heartbeat and respiration. Further, one or more patterns in the motion parameters detected over a designated motion period of time are determined. Additionally, one or more patterns in the physiological parameters detected over the designated physiological period of time are also determined. The systems then assess a health condition of the subject based on the determined patterns of the motion parameters and/or the determined patterns of the physiological parameters.

Radar based systems and methods for monitoring a subject

A method and system for detecting motion is described. A data acquisition system is positioned at a desired position by establishing a reference line based on the desired position of the data acquisition system. Further, a field of view of the data acquisition system is partitioned into an upper region and a lower region based on the reference line. Subsequently, motion information corresponding to a person in the field of view is acquired. Additionally, it is determined if the acquired motion information corresponds to the upper region and/or the lower region in the field of view. Moreover, a magnitude of motion and an area of motion of the person are computed using the acquired motion information. Subsequently, a motion event corresponding to the person in the lower region of the field of view is detected based on the determined magnitude of motion and the determined area of motion.

Method and system for fall detection

A system is provided for monitoring gait characteristics of a group of enrollees in a monitoring region of a public area. The system includes an identifying device to enroll the group of enrollees into the system by measuring identifying information. The system further includes a gait monitoring device to measure a sample gait characteristic during an enrollment phase, and to measure a gait characteristic of each enrollee subsequent to the enrollment phase. The system further includes an alerting device to receive an alert signal from the gait monitoring device, when the measured gait characteristic of a respective enrollee exceeds a safety threshold. The system further includes a display device to issue a trend report of the measured gait characteristic of a selectable enrollee for a selectable time period.

System and method for monitoring the gait characteristics of a group of individuals

A method and system for detecting a fallen person is described. An initial range image corresponding to a field of view of a DAS is generated. Further, a reference plane disposed in the field of view is identified. Additionally, one or more regions in the initial range image indicative of one or more objects disposed above the reference plane in the field of view are determined. Further, the DAS regenerates a range image corresponding to the field of view after a determined time period. The regenerated range image is compared with the initial range image to determine if the regenerated range image comprises a new object disposed above the reference plane. The new object is determined to be the fallen person if a height of the new object is less than a determined height and a volume and/or a surface area of the new object is greater than a determined value.

Method and system for detecting a fallen person using a range imaging device

A method to schedule resources in delivery of healthcare to a series of patients is provided. The method comprises the steps of identifying an availability of the series of resources to deliver the healthcare to each patient; calculating a predicted duration to deliver the healthcare to each patient; calculating a schedule including a block of time dependent on the predicted duration for each resource to deliver healthcare to the patient, the block of time including a start time and an end time; calculating a confidence level in the schedule, the confidence level including a probability that one or more of the resources will not be available for the block of time of the schedule or calculating a likelihood that one or more resources will be available for the block of time in the schedule; and outputting the schedule and the confidence level in the schedule for display.

System and method to schedule resources in delivery of healthcare to a patient

A system and method for identifying a change in walking speed of a person is provided. The system comprises a plurality of sensors disposed in various rooms of a structure. The system may also include a processor-based system that may receive signals representative of the motion and/or location of the person from the sensors. The system may establish and store a travel time for a path traveled by the person through the structure based on the signals representative of the motion and/or location of the person. The system may identify at least one path from among various travel paths traveled by the person through the structure as having a consistent travel time over a period of time. The system also identifies a change in the person's walking speed by identifying changes in the travel time for the at least one path traveled by the person through the structure.

System and method for measuring and reporting changes in walking speed

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Ballston Lake, NY, United States of America

Paul Edward Cuddihy