Abstract: A mechanisms for analyzing event based behavior of end-points of a network in an industrial system and a method performed by a control node, the method includes collecting, from the end-points, timestamped event log entries as created by the end-points within a time window. Each respective timestamped event log entry pertains to a respective event performed by one of the end-points. The method includes identifying tuples of correlated events by comparing the timestamped event log entries to each other, thereby providing a mapping between the events and those end-points where the events of each tuple of correlated events are performed.

Abstract: In an approach to AI empowered factory automation using an industrial IoT, responsive to receiving a new production task, production requirements are input into an AI engine. Equipment and software containers are selected based on the AI model. An orchestration service is created, where the orchestration service collaborates the equipment and the software containers.

Abstract: Computer implemented methods and systems generate an improved predicted model of an industrial process or process engineering system. The model is a function of measurable features of the subject process and selected first principle features. First principle features are selected that capture linearities in a residual of a linear model constructed using a received dataset of the subject process. The model can further be a function of a scaled spline. The scaled spline is generated by computing a spine for a measurable feature of the subject process, fitting the computer spline to the residual of the constructed linear model, and scaling the fitting spline with a scaling factor. The model results in improved predictions of behavior of the subject process by relying primarily on the data of the measurable features of the subject process.

Abstract: The present disclosure provides a system and method for updating a game application during runtime of a game application. The game application is executed on a client computing device using application code that includes a function store. During runtime of the game application, a function asset is received and stored in the function store. The function asset includes either precompiled code or code written in a scripting language and includes a version identifier. To execute a particular game function of the game application, the function asset is identified from other function assets in the function store based at least in part on its version identifier, and the game function is executed using the function asset.

Abstract: A secondary pool of VMs is used to run secondary services or jobs, which may be evicted upon failure of a corresponding primary VM. Upon detection of a failure of a primary resource, the secondary services or jobs are evicted from secondary pool resources, and the secondary pool resources can be automatically allocated to the jobs of the failed primary resource. In this regard, a secondary job may be thought of as a preemptible job and comprises services or jobs that are lower priority than the service or job on the primary resource. By using computing resources in the secondary pool to run secondary or preemptible jobs, this technology makes use of what would be otherwise idle resources. This beneficially avoids having to allocate additional and separate computing resources for secondary jobs, leads to more efficient use of network resources, and reduces costs.

Abstract: Disclosed is a system (102) for executing a test case. The system (102) comprises a memory (206) and a processor (202). The system (102) receives a test file in a predefined format. The test file comprises a test case comprising one or more test steps, test data and one or more expected results for execution. Further, each test step from the one or more test steps indicates an action to be performed for executing the test case. The system (102) generates one or more tokens by classifying text associated with the one or more test steps. The system (102) generates an output template associated with the test case based on analysing the one or more tokens. The system (102) executes the test case based on one or more controls associated with the test case in the output template. The one or more controls are dynamically identified from the output template.

Abstract: An industrial integrated development environment (IDE) supports collaborative tools that allow multiple designers and programmers to remotely submit design input to the same automation system project in parallel while maintaining project consistency. The industrial IDE also permits localized development of system projects, and provides an infrastructure for intelligently brokering between conflicting edits submitted to common portions of the system project.

Abstract: In some embodiments, the system is directed to an autonomous inspection system for electrical grid components. In some embodiments, the system collects electrical grid component data using an autonomous drone and then transmits the inspection data to one or more computers. In some embodiments, the system includes artificial intelligence that analysis the data and identifies electrical grid components defects and provides a model highlighting the defects to a user. In some embodiments, the system enables a user to train the artificial intelligence by providing feedback for models where defects or components are not properly identified.

Abstract: A method for blocking external debugger application from analysing code of software program installed on computing device. The method including initializing software program including an application program and an internal debugger application. The software program, upon initialization thereof, instructs internal debugger application to load application program in internal debugger application. The internal debugger application is configured to utilize kernel resources of an operating system of the computing device.

Abstract: Generating test input values for functional components based on test coverage analysis is disclosed herein. In one example, a processor device of a computing device performs a test coverage analysis of a plurality of programming instructions of a functional component that takes a plurality of input parameters. Based on the test coverage analysis, the processor device identifies a subset of the programming instructions for which testing has not been performed. The processor device then identifies a data type for each of the functional component's input parameters, and generates test input values based on the data types and the test coverage analysis, including a test input value that causes executable instructions corresponding to the subset of programming instructions to be executed during subsequent testing. The test input values may be used during subsequent unit testing to ensure full test coverage of the functional component.

Abstract: An improved SDK includes a set of APIs and a crash handler registered with the operating system. Each API is an interface accessible by a computer software application. Up on entrance, each API determines the current thread identifier, and inserts it into a list if it is not already in the list. Each thread identifier corresponds to an API call counter, which is incremented by one at the entrance and decremented by one at the exit point of the API. The SDK also records the identifier of the thread it creates for callback functions. When a crash occurs, the crash handler is executed. It determines that the crash is related to a callback interface if the crash thread identifier matches the callback thread identifier. The crash is determined to be caused by the SDK if the API call counter corresponding to the crash thread identifier is greater than zero.

Abstract: A site monitoring system may analyze information from sites to determine when a device, a sensor, a controller, or other structure associated with optically switchable devices has a problem. The system may, if appropriate, act on the problem. In certain embodiments, the system learns customer/user preferences and adapts its control logic to meet the customer's goals.

Abstract: A computer-implemented method classifies and creates a container file based on non-functional parameters. The method includes analyzing, by a learning model, a codebase. The codebase includes code for one or more applications. The method also includes identifying, based on the analyzing, a set of functional requirements for each application and a set of non-functional parameters. The method further includes classifying a first application of the one or more applications with a first non-functional parameter. The method includes generating a first container file for the first application. The first container file includes the functional requirements for the first application and the first non-functional parameter. The method further includes creating a first container from the first container file.

Abstract: A machine learning assessment system is provided. The system identifies multiple datasets and multiple machine learning (ML) modeling algorithms based on the client profile. The system assesses a cost of data collection for each dataset of the multiple datasets. The system assesses a performance metric for each ML modeling algorithm of the multiple modeling algorithms. The system recommends a dataset from the multiple datasets and an ML modeling algorithm from the multiple ML modeling algorithm based on the assessed costs of data collection for the multiple datasets and the assessed performance metrics for the multiple ML modeling algorithms.

Abstract: An industrial development hub (IDH) supports industrial development and testing capabilities that are offered as a cloud-based service. The IDH comprises an enhanced storage platform and associated design tools that serve as a repository on which customers can store control project code, device configurations, and other digital aspects of an industrial automation project. The IDH system can facilitate discovery and management of digital content associated with control systems, and can be used for system backup and restore, code conversion, and version management.

Abstract: A method, system and computer program product, the method comprising: obtaining computer code of an employed system comprising a plurality of components; obtaining data related to operating the plurality of components; based on the computer code and the data, identifying: a first component from the plurality of components, to be maintained; and a second component from the plurality of components, to be at least partly replaced by a machine learning component; and providing to a user an identification of the first component and the second component.

Abstract: Systems and methods are described for extending a live range for a virtual scalar register during compiling of a program, comprising: receiving an intermediate representation (IR) of a source code configured for implementing single-instruction-multiple-thread (SIMT) execution, the IR representing the source code as control flow graph including a plurality of basic blocks (BB); and when a virtual scalar register defined in a first BB of the IR is last used in a second BB of the IR that is a divergent BB, modifying the IR to extend the live range of the virtual scalar register.

Abstract: An apparatus comprising a power source, one or more sensors, a transceiver, and a memory. The power source may be configured to store energy to power the apparatus. The one or more sensors may be configured to receive captured data from one of a plurality of sources. The transceiver may be configured to send and receive data to and from a wireless network. The processor may be configured to execute computer readable instructions. The memory may be configured to store a set of instructions executable by the processor. The instructions may be configured to (A) evaluate an expected power usage budget calculated using a predictive model of future energy consumption and (B) (i) store the captured data in the memory in a first mode and (ii) transmit the captured data to a remote storage device in a second mode. The first mode or the second mode is selected based on characteristics of the captured data received from the sensors.

Abstract: An air conditioning control apparatus includes a memory interface performing a data transceiving between a storage medium, a memory, and a controller. The storage medium stores a boot program in a boot program region. The memory stores the boot program of the storage medium. The controller reads out the boot program of the storage medium from the memory when a predetermined period is elapsed, and overwrites the boot program that is read out in the boot program region of the storage medium.

Abstract: Various methods are provided for quantum computing (QC) based code-optimization. One example method may comprise receiving an indication of one or more runtime hotspots in executed code based on one or more QC algorithms, testing a portion of the executed code associated with at least one of the one or more identified runtime hotspots; generating a plurality of performance information indicators comprising information resulting from the testing of the portion of the code; selecting, based on the plurality of performance information indicators, one QC algorithm for the at least one of the one or more identified runtime hotspots; and utilizing the selected QC algorithm for the at least one of the one or more identified runtime hotspots to optimize the at least one of the one or more identified runtime hotspots.