Abstract:
Die Erfindung betrifft ein Verfahren zur Konstruktion eines Produktes (2) umfassend folgende Schritte: - Erstellen einer Liste (4) technischer Anforderungen des Produktes umfassend physikalische Anforderungsgrößen (6) und Hinterlegen der Liste (4) in einer Datenbank (8) - Hinterlegen von Ökologie-Informationen (10) in Form von physikalischen Größen in der Datenbank (8), die zumindest Informationen über verwendbare Materialien und anwendbare Produktionsprozesse für die Herstellung des Produktes (2) enthalten, - Festlegen von Basis-Konstruktionseinheiten (12), wobei die Basis-Konstruktionseinheiten (12) mit den Ökologie-Informationen (10) und der Liste (4) physikalischen Anforderungsgrößen (6) in der Datenbank (8) verknüpft werden, - Festlegen eines ersten Zielwertes für die physikalischen Größen der Liste und Festlegen eines ersten Toleranzbandes für den ersten Zielwert für mindestens eine Basis-Konstruktionseinheit (12) - Festlegen eines zweiten Zielwertes einer Ökologie-Bewertungsgröße (14) für mindestens eine Basis-Konstruktionseinheit sowie Festlegen eines zweiten Toleranzbandes für die Ökologie-Bewertungsgröße (14), - Berechnen von Konstruktionsalternativen (16) für die jeweilige Basis-Konstruktionseinheit (12) mittels eines CAD- und/oder CAM-Systems (18) auf einem Computer (22), sodass sowohl die physikalische Anforderungsgröße (6) als auch die Ökologie-Bewertungsgröße (14) als Zielfunktion ihrem Zielwert innerhalb des jeweiligen Toleranzbandes am nächsten kommt, - Durchführen der Konstruktion einzelner Basis-Konstruktionseinheiten (12) mittels des CAD- und/oder CAM-Systems (18) unter Verwendung einer der berechneten Konstruktionsalternativen.
Abstract:
Disclosed herein are systems, devices, and methods related to assets and asset operating conditions. In particular, examples involve defining and executing predictive models for outputting health metrics that estimate the operating health of an asset or a part thereof, analyzing health metrics to determine variables that are associated with high health metrics, and modifying the handling of abnormal-condition indicators in accordance with a prediction of a likely response to such abnormal-condition indicators, among other examples.
Abstract:
A resource management system comprising a computer-implemented platform running on at least one computing device, said platform for running a plurality of interoperable resource agents, each resource agent being a representation of at least an aspect of a 5 resource, wherein at least one aspect of governance of each said resource agent is distributable by a first rights holder to any one or more second rights holder; and a communications interface for interfacing said platform and at least one resource-related computing device, each resource-related computing device associated via said communications interface with at least one of said resource agents in accordance with an 10 access contract; wherein governance comprises the ability to authorize the further distribution of any one or more aspect of governance by the at least one second rights holder over at least an aspect of the resource agent over which the first user has governance.
Abstract:
In one implementation, a computer-implemented method includes receiving information that describes an issue with a building; accessing data that identifies (i) a plurality of components that are included in the building and (ii) features of the plurality of components; identifying one or more candidate components that have at least a threshold likelihood of being a cause of the issue; selecting a candidate service provider from among a plurality of service providers based on a comparison of (i) the one or more candidate components and (ii) information identifying technical qualifications for the plurality of service providers; transmitting a service request for the issue to the candidate service provider; receiving a response from the candidate service provider; and scheduling, based on the response, a service appointment with the candidate service provider to resolve the issue.
Abstract:
An automated model development tool can be used for automatically developing a model (e.g., an analytical model). The automated model development tool can perform various automated operations for automatically developing the model including, for example, performing automated operations on variables in a data set that can be used to develop the model. The automated operations can include automatically analyzing the predictor variables. The automated operations can also include automatically binning (e.g., combining) data associated with the predictor variables to provide monotonicity between the predictor variables and one or more output variables. The automated operations can further include automatically reducing the number of predictor variables in the data set and using the reduced number of predictor variables to develop the analytical model. The model developed using the automated model development tool can be used to identify relationships between predictor variables and one or more output variables in various machine learning applications.
Abstract:
A computer-implemented user profiling system includes a human communication retrieval component which, for an entity employing a business process management system, captures communication data in response to a given business process being implemented by the business process management system. A human task monitoring and contextual analysis component captures user behavior information associated with the business process. A profile analysis engine is also included, which receives the user behavior information and communication data and updates a user profile corresponding to at least one of the users, based on the user behavior information and communication data.
Abstract:
A “metadata model of a city's Internet of Everything and use thereof to implement citizen engagement through ‘user journeys’ and system intelligence through automated response logic. A framework that allows system integrators to build a metadata model of a city's IoE, which metadata model then enables city managers to implement user journeys and system intelligence, in incremental fashion, as the business needs of the city evolves.
Abstract:
Example implementations relate to specifying models of an architectural type. In an example implementation, a domain model of the architectural type is captured and a meta-language for the architectural type is defined. A platform-independent representation of the domain model may be exported. The platform-independent representation of the domain model may be transformed into a platform-specific representation of the domain model that is executable on a targeted runtime platform.
Abstract:
A method includes receiving a search query from a user device and identifying function records using the search query. Each function record includes an application access mechanism (AAM) and application state information (ASI). The AAM includes a reference to a native application and indicates one or more operations for the application to perform. The ASI describes a state of the application after the application has performed the operations. Identifying the function records may be based on matches between terms of the search query and terms of the ASI included in the function records. The techniques further include selecting AAMs from the identified function records and identifying one or more AAMs of the selected AAMs that are compatible with the user device. The techniques also include transmitting the identified AAMs to the user device and refraining from transmitting any of the selected AAMs that are not compatible with the user device.