Abstract: A method for processing vehicle test data of a vehicle, in which a cloud-based storage and computing device that is communicatively connected to the vehicle via a data network is provided with a multiplicity of modelling vehicle test data that are provided by a plurality of control devices and/or sensor devices of the vehicle. The cloud-based storage and computing device analyzes the received modelling vehicle test data and takes these modelling vehicle test data as a basis for generating test-case-specific edge analytics algorithms in an automated manner and transmits the algorithms to an edge analytics computing device inside the vehicle via the data network. The edge analytics computing device receives a multiplicity of vehicle test data from the control devices and/or the sensor devices during the performance of test or trial drives by the vehicle and evaluates the data by way of the edge analytics algorithms.

Abstract: A method for processing vehicle test data of a vehicle, in which a cloud-based storage and computing device that is communicatively connected to the vehicle via a data network is provided with a multiplicity of modelling vehicle test data that are provided by a plurality of control devices and/or sensor devices of the vehicle. The cloud-based storage and computing device analyzes the received modelling vehicle test data and takes these modelling vehicle test data as a basis for generating test-case-specific edge analytics algorithms in an automated manner and transmits the algorithms to an edge analytics computing device inside the vehicle via the data network. The edge analytics computing device receives a multiplicity of vehicle test data from the control devices and/or the sensor devices during the performance of test or trial drives by the vehicle and evaluates the data by way of the edge analytics algorithms.

Abstract: A method of producing a multilayer magnetoelectronic device and a related device. The method includes depositing a multilayer structure including at least two ferromagnetic layers disposed one on top of the other and each having a magnetic anisotropy with a corresponding magnetic moment. A magnetization curve is specified for the magnetoelectronic device. The number of ferromagnetic layers and, for each of the ferromagnetic layers, the magnetic moment and the magnetic hardness for obtaining the specified magnetization curve are determined. For each of the ferromagnetic layers a magnetic material, a thickness, an azimuthal angle and an angle of incidence are determined for obtaining the determined magnetic moment and magnetic hardness of the respective ferromagnetic layer. The multilayer structure is deposited using the determined material, thickness, azimuthal angle and angle of incidence for each of the ferromagnetic layers.

Abstract: A method of producing a multilayer magnetoelectronic device and a related device. The method includes depositing a multilayer structure including at least two ferromagnetic layers disposed one on top of the other and each having a magnetic anisotropy with a corresponding magnetic moment. A magnetization curve is specified for the magnetoelectronic device. The number of ferromagnetic layers and, for each of the ferromagnetic layers, the magnetic moment and the magnetic hardness for obtaining the specified magnetization curve are determined. For each of the ferromagnetic layers a magnetic material, a thickness, an azimuthal angle and an angle of incidence are determined for obtaining the determined magnetic moment and magnetic hardness of the respective ferromagnetic layer. The multilayer structure is deposited using the determined material, thickness, azimuthal angle and angle of incidence for each of the ferromagnetic layers.

Abstract: A method of producing a multilayer magnetoelectronic device and a related device. The method includes depositing a multilayer structure including at least two ferromagnetic layers disposed one on top of the other and each having a magnetic anisotropy with a corresponding magnetic moment. A magnetization curve is specified for the magnetoelectronic device. The number of ferromagnetic layers and, for each of the ferromagnetic layers, the magnetic moment and the magnetic hardness for obtaining the specified magnetization curve are determined. For each of the ferromagnetic layers a magnetic material, a thickness, an azimuthal angle and an angle of incidence are determined for obtaining the determined magnetic moment and magnetic hardness of the respective ferromagnetic layer. The multilayer structure is deposited using the determined material, thickness, azimuthal angle and angle of incidence for each of the ferromagnetic layers.

Abstract: A method of producing a multilayer magnetoelectronic device and a related device. The method includes depositing a multilayer structure including at least two ferromagnetic layers disposed one on top of the other and each having a magnetic anisotropy with a corresponding magnetic moment. A magnetization curve is specified for the magnetoelectronic device. The number of ferromagnetic layers and, for each of the ferromagnetic layers, the magnetic moment and the magnetic hardness for obtaining the specified magnetization curve are determined. For each of the ferromagnetic layers a magnetic material, a thickness, an azimuthal angle and an angle of incidence are determined for obtaining the determined magnetic moment and magnetic hardness of the respective ferromagnetic layer. The multilayer structure is deposited using the determined material, thickness, azimuthal angle and angle of incidence for each of the ferromagnetic layers.

Abstract: Exemplary embodiments of the present invention include a method for administering devices. Such exemplary embodiments include receiving a domain state object, identifying an action in dependence upon the domain state object, and executing the action. In many exemplary embodiments, receiving a domain state object includes receiving a signal to download the domain state object from a mobile sensor, and downloading the domain state object from the mobile sensor.

Abstract: Methods, systems, and products are disclosed for administering devices that include creating a user metric vector including a plurality of disparate user metrics, creating a user metric space including a plurality of metric ranges, determining whether the user metric vector is outside the user metric space, identifying an action in dependence upon the user metric vector if the user metric vector is outside a user metric space, and executing the action.

Abstract: Methods for administering devices, including creating a user metric vector including a plurality of disparate user metrics, creating a user metric space including a plurality of metric ranges, determining whether the user metric vector is outside the user metric space, creating, in dependence upon the user metric vector, a dynamic action list, if the user metric vector is outside a user metric space, identifying at least one action in the dynamic action list, and executing the action.

Abstract: Exemplary methods, systems, and products are described for identifying whether material is subject to an end-user license agreement (‘EULA’). Embodiments include receiving a response to a request for the material; determining whether the content of the response contains predefined license identification metadata; and determining in dependence upon the predefined license identification metadata that the requested material is subject a EULA if the content of the response contains predefined license identification metadata.

Abstract: Method for administering devices, including creating a user metric vector including a plurality of disparate user metrics, creating a plurality of user metric spaces, each user metric space including a plurality of metric ranges, and selecting, from the plurality of user metric spaces, a user metric space. Methods also include determining whether the user metric vector is outside the selected user metric space, identifying an action in dependence upon the user metric vector, if the user metric vector is outside the selected user metric space, and executing the action.

Abstract: Differential dynamic content delivery with a presenter alterable session copy of a user profile. Typical embodiments include providing a session document for a presentation, wherein the session document includes a session grammar and a session structured document; providing a session copy of a user profile including a user classification; receiving, from a presenter, a user classification instruction to change a user classification in the session copy of a user profile; changing the user classification in the session copy of a user profile in dependence upon the presenter's instruction; selecting from the session structured document a classified structural element in dependence upon a user classification in the session copy of a user profile of a user in the presentation; and presenting the selected structural element to the user.

Abstract: Exemplary methods, systems, and products are described for creating a virtual license document for material subject to an end-user license agreement (‘EULA’). Embodiments include identifying a licensing clause for the virtual license document; creating metadata describing the licensing clause; and inserting in a markup document the licensing clause and the metadata describing the clause. Identifying a licensing clause for the virtual license document may be carried out by identifying a known licensing clause in an existing end-user license agreement (‘EULA’) in dependence upon licensing clause identification rules. Identifying a known clause in an existing end-user license agreement (‘EULA’) in dependence upon clause identification rules may be carried out by identifying keywords in the existing end-user license agreement (‘EULA’) predetermined to be associated with a known clause in end-user license agreements; and identifying the known licensing clause in dependence upon the keywords.