Abstract: Concepts and technologies are disclosed herein for providing and using a software defined network controller. A software defined network controller can be provided by a computing system that includes a processor. A service model that represents a service can be obtained. A network model that represents network resources that support the service can be obtained. Resources that support the service can be determined. Templates can be accessed to identify templates that relate to the resources. The templates identified can be assembled to obtain a template-based representation of the service. The template-based representation can be executed to determine if the service is ready for deployment.

Abstract: Methods, computer readable media, and devices for supporting fine/coarse-grained deployment of source code to environments via version control systems are disclosed. One method may include integrating, via a graphical user interface (GUI), source code into a version control system, mapping, via the GUI, an environment topology to the version control system, verifying a source code change based on a set of configurable checks, deploying, via the GUI, the source code change into one environment of the environment topology, and tracking, via the GUI, a status of the source code change.

Abstract: Disclosed herein are system, method, and computer program product embodiments for providing an auto-mapping recommendation between a source asset and a target asset in an integration flow design tool. Because the number of fields passed from a source asset to a target asset may be multitudinous, by auto-recommending mappings between fields provided by the source asset to the target asset, an integration flow design tool may save time developers a significant amount of time and optimize the integration flow design process.

Abstract: Computerized RPA methods and systems that increase the flexibility and lower the cost with which RPA systems may be deployed are disclosed herein. In one embodiment, an RPA system and method avoids the need for preinstalled RPA software on a device employed by a user to create and/or execute software robots to perform RPA. In another embodiment, an RPA system and method provides a capability to execute software robots that may have been encoded in one or more programming languages to execute on an operating system different than that employed by a server of the RPA system.

Abstract: Technologies for managing configuration-free platform firmware include a compute device, which further includes a management controller. The management controller is to receive a system configuration request to access a system configuration parameter of the compute device and access the system configuration parameter in response to a receipt of the system configuration request.

Abstract: The safety and reliability of drug delivery systems are improved by the use of smartphones for calculating safety critical delivery parameters. A drug delivery device is adapted to perform a drug delivery operation based on an unconfirmed drug delivery instructions determined by a processing unit of a control device by applying a basic mathematic operation to control device input data. The drug delivery device comprises a communication module to receive, from the control device, the basic mathematic operation and the control device input data, and a redundancy module to determine a redundant drug delivery instructions by applying the basic mathematic operation to the control device input data received from the control device. The drug delivery device is adapted to prevent execution of the drug delivery operation if the unconfirmed drug delivery instructions and the redundant drug delivery instructions are found, by a comparator module, to conflict.

Abstract: There is disclosed a method and a system for predicting the efficacy of one or more treatments. A completed questionnaire may be received from a patient requiring treatment. The responses to the questionnaire may be input to a machine learning algorithm (MLA). The MLA may have been trained using labelled patient data. A predicted efficacy of one or more treatments and a prototype corresponding to the patient may be received from the MLA. An interface may be output indicating the predicted efficacy of the one or more treatments and the prototype.

Abstract: Disclosed herein are systems and methods for assessing an impact of malicious software causing a denial of service of components of industrial automation and control systems (IACS). In one aspect, an exemplary method comprises, generating a configuration of the IACS on a testing device based on specifications, obtaining a set of investigated software, where the set includes at least one sample of one malicious software, testing the generated configuration using the received set of investigated software, identifying occurrences of denials of service of the components of the testing device which are used to simulate the generated configuration, determining an impact of the malicious software on the generated configuration, and a degree of degradation of a performance of the generated configuration of IACS, and pronouncing a verdict as to a danger of the malicious software for the generated configuration of IACS based on the determined impact of the malicious software.

Abstract: Aspects of the present disclosure describe systems and methods for predicting an intra-aortic pressure of a patient receiving hemodynamic support from a transvalvular micro-axial heart pump. In some implementations, an intra-aortic pressure time series is derived from measurements of a pressure sensor of the transvalvular micro-axial heart pump and a motor speed time series is derived from a measured back electromotive force of a motor of the transvalvular micro-axial heart pump. Furthermore, in some implementations, machine learning algorithms, such as deep learning, are applied to the intra-aortic pressure and motor speed time series to accurately predict an intra-aortic pressure of the patient. In some implementations, the prediction is short-term (e.g., approximately 5 minutes in advance).

Abstract: Systems, computer program products, and computer-implemented methods for visualizing and interacting with a plurality of models that collectively represent a real world system depicted in a graphical user interface (GUI). The system described herein may generate an interactive GUI with multiple modes and a plurality of panels associated with the plurality of models. These panels and modes lay the framework for how a user can properly visualize and analyze the models at a particular point in time or over a period of time. The systems, computer program products, and computer-implemented methods may thus, according to various embodiments, enable a plurality of models that collectively represent a real world system be interacted with and visualized by a graphical user interface.

Abstract: Disclosed is a system for remote controlling and monitoring of at least one instrument, for example a bioprocessing instrument, said system comprising: at least one instrument to be controlled and/or monitored; at least one instrument server connected to the at least one instrument, said instrument server comprising an instrument control software; at least one gateway connected to the at least one instrument server; a transferring means provided in the at least one instrument server, said transferring means being arranged to receive information from the at least one connected instrument and forward said information to the at least one gateway; a first self-hosted web server containing a web application provided in the at least one instrument server for providing possibility to control the at least one instrument via a web browser in an instrument control web page; a publishing means provided in the at least one gateway, said publishing means being arranged to receive information from at least one instrument s

Abstract: A service manages a plurality of virtual machine instances for low latency execution of user codes. The plurality of virtual machine instances can be configured based on a predetermined set of configurations. One or more containers may be created within the virtual machine instances. In response to a request to execute user code, the service identifies a pre-configured virtual machine instance suitable for executing the user code. The service can allocate the identified virtual machine instance to the user, create a new container within an instance already allocated to the user, or re-use a container already created for execution of the user code. When the user code has not been activated for a time-out period, the service can invalidate allocation of the virtual machine instance destroy the container. The time from receiving the request to beginning code execution is less than a predetermined duration, for example, 100 ms.

Abstract: Embodiments are directed to application development. A data model may include one or more complex field types that each include one or more other fields. A separate data object may be included for each complex field type that defines one or more characteristics of one or more other fields included in a complex field type. An application design window may include one or more complex fields for an application, such that each complex field is associated with a complex field type. The data model may be modified to include another separate data object for each complex field type that is associated with the one or more complex fields, such that item values corresponding to each complex field of the same complex field type are stored in the same other separate data object. The modified data model may be deployed to enable one or more application shells to execute the application.

Abstract: A computer system adapts a model analyzing data. Information sources are analyzed to determine one or more changes for a computerized model employed for analyzing data. One or more current projects each using an implementation of the computerized model with at least one of the determined changes are identified. The implementations are compared to the employed computerized model to determine differences. One or more adaptations for the employed computerized model are determined in response to the determined differences satisfying a threshold, wherein the one or more adaptations for the employed computerized model are based on the determined changes in the corresponding implementation of the computerized model. At least one adaption is installed into a platform hosting the employed model for modification of the employed model. Embodiments of the present invention further include a method and program product for adapting a model analyzing data in substantially the same manner described above.

Abstract: Techniques for monitoring operating statuses of an application and its dependencies are provided. A monitoring application may collect and report the operating status of the monitored application and each dependency. Through use of existing monitoring interfaces, the monitoring application can collect operating status without requiring modification of the underlying monitored application or dependencies. The monitoring application may determine a problem service that is a root cause of an unhealthy state of the monitored application. Dependency analyzer and discovery crawler techniques may automatically configure and update the monitoring application. Machine learning techniques may be used to determine patterns of performance based on system state information associated with performance events and provide health reports relative to a baseline status of the monitored application. Also provided are techniques for testing a response of the monitored application through modifications to API calls.

Abstract: Provided are methods and systems for combining business process management (BPM) and robotic process automation (RPA) into a unified BPM and RPA process. An example method commences with creating a BPM process flow. The BPM process flow can include one or more BPM models for executing BPM tasks. The method then proceeds with creating an RPA process flow. The RPA process flow can include one or more RPA models for executing the one or more RPA tasks. The method can further include linking the one or more RPA models to the BPM process flow. Thereafter, the method proceeds with creating an application package associated with the unified BPM and RPA process. The application package can include the one or more BPM models and the one or more RPA models. The method can further include exporting the application package for deployment.

Abstract: The invention concerns an Interoperability Environment comprising: a core software engine comprising means to collect and transfer electronic data from any number of sources including medical devices, clinical information systems, hospital information systems, a means to apply rules to improve compliance with hospital approved protocols, standards and guidances, a means to update all subsystems using any given parameter when the parameter is updated in the official recognized source of truth for that parameter, a means to populate the CIS with all required patient information, while at the same time maintaining all quality and process control data in a format supporting advanced analytics separate from the CIS data, a means to communicate notifications to any number of remote electronic devices without limitation of platform and comprising a hardware eco system comprising means to collect, translate, store and send electronic data to the core software engine for any electronic source via communication methods

Abstract: Disclosed are techniques for deploying an application. An application system may host one or more software applications, each software application having a plurality of application deployments. A first application deployment is customized based on a first set of user interactions with the application and a second application deployment is different to the first deployment due to being customized based on a second set of user interactions with the application. The second set of user interactions is different to the first set of user interactions. Usage information about a user is received, the usage information indicating a third set of user interactions with an application of the one or more software applications. A user profile of the user is determined from the usage information. The first application deployment is determined based on the user profile. The first application is deployed for the user based on the first application deployment.

Abstract: A configurator interface engine generates a graphical interface (i) presenting continuous delivery segments, (ii) receiving a first user input selecting a first segment of the continuous delivery segments, and (iii) receiving a second user input selecting a second segment of the continuous delivery segments. A configurator engine (i) configures tools based on toolchain rules without requiring input from a user, (ii) generates a toolchain comprising the tools after the configuration, (iii) determines a segment dependency between the first and second segments, and (iv) generates a continuous delivery pipeline model based on the inputs, dependency, and continuous delivery pipeline model. An orchestrator engine executes an instance of the continuous delivery pipeline model.

Abstract: Systems and methods are disclosed for generating device test cases for medical imaging devices, which are not only reflective of current actual field usage of the device but also provide outlook on future usage. A probabilistic model of usage patterns is generated from historic data present in the device field logs by mining the current usage patterns. A Deep Long Short Term Memory Neural Network model of the usage patterns is constructed to predict the future usage patterns. Additionally, to capture the changing trends of device usage patterns in the field, predictive models are continuously updated in real time, and the test cases generated log files by the models are integrated into an automated testing system.