Abstract: A handheld tool for opening and closing OS&Y gate valves commonly used to control water flow to fire sprinkler systems. The tool includes an elongated shape with curved central portion with two handles on either end. The tool contains a series of protrusions for engaging and rotating the spokes on the OS&Y gate valve handwheel.

Abstract: Performing an operation comprising transforming an input dataset to a predefined format, extracting, from the transformed dataset, a plurality of features describing the transformed dataset, and generating, by a machine learning (ML) algorithm executing on a processor and based on an ML model, a plurality of rules for modifying the transformed dataset to conform with a first data model.

Abstract: Embodiments generally relate transforming data for a target schema. In some embodiments, a method includes receiving input data, where the input data includes a plurality of segments, and where the segments include a plurality of source fields containing target data. The method further includes characterizing the input data based at least in part on a plurality of predetermined metrics, where the predetermined metrics determine a structure of the input data. The method further includes mapping the target data in the source fields of the segments to a plurality of target fields of a target schema based at least in part on the characterizing. The method further includes populating the target fields of the target schema with the target data from the source fields based at least in part on the mapping.

Abstract: Embodiments generally relate transforming data for a target schema. In some embodiments, a method includes receiving input data, where the input data includes a plurality of segments, and where the segments include a plurality of source fields containing target data. The method further includes characterizing the input data based at least in part on a plurality of predetermined metrics, where the predetermined metrics determine a structure of the input data. The method further includes mapping the target data in the source fields of the segments to a plurality of target fields of a target schema based at least in part on the characterizing. The method further includes populating the target fields of the target schema with the target data from the source fields based at least in part on the mapping.

Abstract: Performing an operation comprising transforming an input dataset to a predefined format, extracting, from the transformed dataset, a plurality of features describing the transformed dataset, and generating, by a machine learning (ML) algorithm executing on a processor and based on an ML model, a plurality of rules for modifying the transformed dataset to conform with a first data model.

Abstract: An unsupervised behavior learning system and method for predicting anomalies in a distributed computing infrastructure. The distributed computing infrastructure includes a plurality of computer machines. The system includes a first computer machine and a second computer machine. The second computer machine is configured to generate a model of normal and anomalous behavior of the first computer machine, where the model is based on unlabeled training data. The second computer machine is also configured to acquire real-time data of system level metrics of the first machine; determine whether the real-time data is normal or anomalous based on a comparison of the real-time data to the model; and predict a future failure of the first computer machine based on multiple consecutive comparisons of the real-time data to the model.

Abstract: A user interface and methods for providing a user interface comprising graphical representations of data, metrics, and other information specific to a particular user. The data, metrics, and other information may be derived from publically available information, private information, or both.

Abstract: An unsupervised behavior learning system and method for predicting anomalies in a distributed computing infrastructure. The distributed computing infrastructure includes a plurality of computer machines. The system includes a first computer machine and a second computer machine. The second computer machine is configured to generate a model of normal and anomalous behavior of the first computer machine, where the model is based on unlabeled training data. The second computer machine is also configured to acquire real-time data of system level metrics of the first machine; determine whether the real-time data is normal or anomalous based on a comparison of the real-time data to the model; and predict a future failure of the first computer machine based on multiple consecutive comparisons of the real-time data to the model.

Abstract: Embodiments of the invention comprise methods and systems for modifying the geometry data of a CAD object through modification of an arbitrary cross section, the CAD object being stored within a computer aided design modeling system. The method includes receiving, from a user the position and orientation of a cross section plane, the cross section plane being arbitrarily positioned relative to the orientation of a CAD object, and wherein the arbitrarily positioned and oriented plane is intersecting the CAD object. The CAD system generates a user modifiable two dimensional cross section from the intersection of the cross section plane and the CAD object, the cross section having a plurality user modifiable control elements. Changes to the control elements are correspondingly made to the cross section plane and the CAD object.

Abstract: A three-dimensional solid geometry modeling method is described that can move or modify any piece of solid or surface geometry, such as a protrusion or depression, when faces are changed in a way that is not obvious or predictable from the original data. The method involves a combination of local changes and a context-based process that uses simplification, detaching, modification, and reattaching algorithms. The method is invoked automatically when a modeling tool (such as Move or Pull) is used to move or modify a piece of geometry. During the movement or modification, the geometry reflects the changes dynamically as the user interacts with the modeling tool. When performing the modification, simplification of the faces and edges can be manually or automatically invoked.

Abstract: A user interface and methods for providing a user interface comprising graphical representations of data, metrics, and other information specific to a particular user. The data, metrics, and other information may be derived from publically available information, private information, or both.

Abstract: A three-dimensional object modeling tool is described that can derive the 2D cross sections of one or more lofted or unlofted surfaces, allowing those surfaces to be modified instantly. The modeling tool (loft tool) includes sub-tools for selecting a surface, moving a 2D section, editing a 2D section, creating a 2D section, and removing a 2D section. By analysis of the selected lofted surface and its faces, the loft tool can derive an appropriate number of 2D cross section to present to the user for manipulation. When deriving the 2D cross section the modeling tool operates by simplifying the curves making up the lofted surface, and from these can generate 2D cross section that can be easily manipulated and used to instantly update the lofted surface and redisplay it for further user modification.

Abstract: Systems, devices, and methods for automatic data collection. An automatic data collection system includes an image capture subsystem and a processor subsystem. The automatic data collection system is operable to decode machine-readable symbols in a machine-readable symbol reading mode, and to automatically switch from a machine-readable symbol reading mode to an optical character recognition mode in response to information encoded in a machine-readable symbol. In some embodiments, the automatic data collection system is further operable to perform optical character recognition on human-readable symbols in a human-readable symbol reading mode.

Abstract: Systems and methods for creating and editing 3D solids and surfaces in an intuitive manner are described. A single tool infers the most-likely correct action based on its context to a particular geometry case. The single modification tool predicts a user's intended modification, and performs the predicted modification without recording related history information. The method includes receiving a selection of the at least one CAD object. The method also includes the tool automatically predicting the user's intended type of modification to the at least one CAD object based on the type of the at least one CAD object and the at least one CAD object's relationships with the geometry of at least one surrounding CAD object. The tool can performing multiple types of modifications, and the modification is selected from the multiple types of modifications, without explicit commands from the user directing the type of modification to be performed.

Abstract: Systems and methods for creating and editing 3D solids and surfaces in an intuitive manner are described. A single tool infers the most-likely correct action based on its context to a particular geometry case. The tool predicts a user's intended modification, and performs the predicted modification without recording related history information. The method includes receiving a selection of at least one CAD object. The method also includes the tool automatically predicting the user's intended type of modification to the at least one CAD object based on the type of the at least one CAD object and the at least one CAD object's relationships with the geometry of at least one surrounding (or related) CAD object. The tool can perform multiple types of modifications, and the modification is selected from the multiple types of modifications, without explicit commands from the user directing the type of modification.

Abstract: Embodiments of the invention comprise methods and systems for modifying the geometry data of a CAD object through modification of an arbitrary cross section, the CAD object being stored within a computer aided design modeling system. The method includes receiving, from a user the position and orientation of a cross section plane, the cross section plane being arbitrarily positioned relative to the orientation of a CAD object, and wherein the arbitrarily positioned and oriented plane is intersecting the CAD object. The CAD system generates a user modifiable two dimensional cross section from the intersection of the cross section plane and the CAD object, the cross section having a plurality user modifiable control elements. Changes to the control elements are correspondingly made to the cross section plane and the CAD object.

Abstract: Systems, devices, and methods for automatic data collection. An automatic data collection system includes an image capture subsystem and a processor subsystem. The automatic data collection system is operable to decode machine-readable symbols in a machine-readable symbol reading mode, and to automatically switch from a machine-readable symbol reading mode to an optical character recognition mode in response to information encoded in a machine-readable symbol. In some embodiments, the automatic data collection system is further operable to perform optical character recognition on human-readable symbols in a human-readable symbol reading mode.

Abstract: Systems, devices, and methods for automatic data collection. An automatic data collection system includes an image capture subsystem and a processor subsystem. The automatic data collection system is operable to decode machine-readable symbols in a machine-readable symbol reading mode, and to automatically switch from a machine-readable symbol reading mode to an optical character recognition mode in response to information encoded in a machine-readable symbol. In some embodiments, the automatic data collection system is further operable to perform optical character recognition on human-readable symbols in a human-readable symbol reading mode.

Abstract: Systems, devices, and methods for automatic data collection. An automatic data collection system includes an image capture subsystem and a processor subsystem. The automatic data collection system is operable to decode machine-readable symbols in a machine-readable symbol reading mode, and to automatically switch from a machine-readable symbol reading mode to an optical character recognition mode in response to information encoded in a machine-readable symbol. In some embodiments, the automatic data collection system is further operable to perform optical character recognition on human-readable symbols in a human-readable symbol reading mode.

Abstract: A computer implemented method for estimating for a user performance information for a health savings account includes estimating a chronological series of health-care expenses to be incurred by the user based on actuarial data for health-care costs and estimating a chronological series of health savings account balance values based on the series of health-care expenses. The method further includes presenting to the user information derived from at least one of the estimated series of health-care expenses or estimated series of health savings account balance values. The method can also include receiving at least one characteristic of the user and modifying the step of estimating the chronological series of health-care expenses such that the actuarial data used to estimate the chronological series of health-care expenses is limited to data associated with individuals that share a similar classification as the user based on the characteristic of the user.