In various example embodiments, systems and methods for administering machine access to a cloud service are presented. A first device or machine can access an enrollment service in a cloud environment using user-based credential data. The enrollment service can request registration of the first device with an authorization service. If the authorization service accepts the request, then the authorization service can provide credential data for the first device to use to access one or more cloud-based services. In an example embodiment, a third party application provides devices and an enrollment service with credential data that can be used to facilitate device enrollment with cloud services.

In various example embodiments, systems and methods for administering machine access to a cloud service are presented. An edge manager device in a cloud computing environment can establish a first client for a first application that is executed externally to the cloud computing environment. The edge manager device can provide a first request via a first network to an authorization service application to obtain client identification and client secret information for use by the first client. The edge manager device can receive the client identification and client secret information from the authorization service application via the first network. The client identification and client secret information can be selected by the authorization service application to permit later data access to the edge manager device by the first client. The edge manager device can provide the client identification and client secret information to the first client via a second network.

An irrigation modeling framework in precision agriculture utilizes a combination of weather data, crop data, and other agricultural inputs to create customized agronomic models for diagnosing and predicting a moisture state in a field, and a corresponding need for, and timing of, irrigation activities. Specific combinations of various agricultural inputs can be applied, together with weather information to identify or adjust water-related characteristics of crops and soils, to model optimal irrigation activities and provide advisories, recommendations, and scheduling guidance for targeted application of artificial precipitation to address specific moisture conditions in a soil system of a field.

Systems and methods of a Hierarchical Smart Asset Control Application development and Integrated Smart Asset Control System optimization are disclosed. In various embodiments, the system may develop a Hierarchical Asset Control Application and corresponding control hardware requirements. This can be used to create an Integrated Smart Asset Control System in order execute various processes for a set of equipment elements. The smart assets associated with the system may utilize intelligent agents to balance operational constraints and operational objects in order to determine real-time optimized operational parameters for a process and implement the appropriate controls to facilitate achieving the improved operational objectives.

A method for generating an orthotic device is disclosed. The method includes receiving data from a client device of a patient, the data comprising patient information and image data representative of a body part of the patient. The method further includes generating, based on the image data, three-dimensional model data representative of the body part, and generating parametric CAD model data of the orthotic device based on the three-dimensional model data and the patient information. The parametric CAD model data is transmitted to a three-dimensional printer, wherein the three-dimensional printer is to generate the orthotic device based on the parametric CAD model data

Systems and methods of a Hierarchical Smart Asset Control Application development and Integrated Smart Asset Control System optimization are disclosed. In various embodiments, the system may develop a Hierarchical Asset Control Application and corresponding control hardware requirements. This can be used to create an Integrated Smart Asset Control System in order execute various processes for a set of equipment elements. The smart assets associated with the system may utilize intelligent agents to balance operational constraints and operational objects in order to determine real-time optimized operational parameters for a process and implement the appropriate controls to facilitate achieving the improved operational objectives.

A system and method of predicting behavior of at least one electric machine is provided, wherein the method includes: generating a simulated-dataset including simulated design results, (e.g., individually), for electromagnetic properties, structural properties, and acoustic properties of the electric machine, wherein the simulated-dataset is generated by simulating at least one operating condition of the electric machine on parametric models generated from design parameters of the electric machine; training artificial neural network models using the design parameters and the simulated design results output from the parametric models in response to at least one operating condition of the electric machine; and predicting behavior of the electric machine by orchestrating execution of the artificial neural network models for custom design parameters.

A method of process monitoring of an industrial process involving a tangible run an industrial facility includes providing an integrated facility digital twin (DT) implemented by a computer system which implements an aggregation algorithm that utilizes models including a plurality of inter-related static models for the industrial facility including an asset model that describes devices and systems in the industrial facility including sensors coupled to processing equipment and a flowsheet model, and dynamic models of the industrial facility including calculation models, symptom and fault models, dynamic simulation models, and machine learning models. The aggregation algorithm using outputs from the static models and dynamic model, generates an aggregated view including performance alerts for at least one of the process equipment and industrial process based on a current performance of the industrial process.

An irrigation modeling framework in precision agriculture utilizes a combination of weather data, crop data, and other agricultural inputs to create customized agronomic models for diagnosing and predicting a moisture state in a field, and a corresponding need for, and timing of, irrigation activities. Specific combinations of various agricultural inputs can be applied, together with weather information to identify or adjust water-related characteristics of crops and soils, to model optimal irrigation activities and provide advisories, recommendations, and scheduling guidance for targeted application of artificial precipitation to address specific moisture conditions in a soil system of a field.

A method for generating an orthotic device is disclosed. The method includes receiving data from a client device of a patient, the data comprising patient information and image data representative of a body part of the patient. The method further includes generating, based on the image data, three-dimensional model data representative of the body part, and generating parametric CAD model data of the orthotic device based on the three-dimensional model data and the patient information. The parametric CAD model data is transmitted to a three-dimensional printer, wherein the three-dimensional printer is to generate the orthotic device based on the parametric CAD model data.