Abstract: This application provides a method for training a neural network model and an apparatus. The method includes: obtaining annotation data that is of a service and that is generated by a terminal device in a specified period; training a second neural network model by using the annotation data that is of the service and that is generated in the specified period, to obtain a trained second neural network model; and updating a first neural network model based on the trained second neural network model. In the method, training is performed based on the annotation data generated by the terminal device, so that in an updated first neural network model compared with a universal model, an inference result has a higher confidence level, and a personalized requirement of a user can be better met.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to identify a capability of an entity in a building graph, the building graph including a plurality of nodes and a plurality of edges, the plurality of nodes representing entities of the building including the entity and the capability, the plurality of edges representing relationships between the entities of the building and the capability. The instructions cause the one or more processors to receive a command to perform an operation associated with the entity, the operation associated with the capability of the entity and provide the command to perform the operation associated with the entity to an operating system.

Abstract: A real-time control system includes a faulty variable identification technique to implement a data-driven fault detection function that provides an operator with information that enables a higher level of situational awareness of the current and likely future operating conditions of the process plant. The faulty variable identification technique enables an operator to recognize when a process plant component is behaving abnormally to potentially take action, in a current time step, to alleviate the underlying cause of the problem, thus reducing the likelihood of or preventing a stall of the process control system or a failure of the process plant component.

Abstract: Disclosed are an application start method and an electronic device. The method includes: obtaining, by a SystemServer process in an electronic device, a start message of a first application; sending, by the SystemServer process, a creation request for an application process to a daemon process in response to the start message, where the creation request includes application information of the first application; creating, by the daemon process, the application process for the first application in response to the creation request, where the application process includes a first thread and a second thread; executing, by the application process, the first thread and the second thread in parallel, where the first thread executes initialization of a main thread of the first application, and the second thread creates a first class loader according to the application information to load a class file of the first application.

Abstract: A development system and a method of an offline software-in-the-loop simulation are disclosed. A common firmware architecture generates a chip control program. The common firmware architecture has an application layer and a hardware abstraction layer. The application layer has a configuration header file and a product program. A processing program required by a peripheral module is added to the hardware abstraction layer during compiling. The chip control program is provided to a controller chip or a circuit simulation software to be executed to control the product-related circuit through controlling the peripheral module.

Abstract: A turnstile OS primitive is provided that enables support for owner tracking and waiting. The turnstile primitive enables a common framework that can be adopted across multiple different types of synchronization primitives to provide a common service for priority boosting and wait queuing. A turnstile can also provide a mechanism to enable a turnstile to block on another turnstile, allowing multi-hop priority boosting within a chain of multiple blocking turnstiles.

Abstract: In some aspects, a computing system can determine a set of attributes based on analyzing input data using attribute templates written in a production-ready programming language. The computing system can generate attribute definitions for the set of attributes using the attribute templates and deploy the attribute definitions for the set of attributes to a production environment of a software program. The software program is written in a programming language compatible with the production-ready programming language. The computing system can monitor the performance of the set of attributes in the production environment of the software program and cause the attribute definitions of the plurality of attributes to be modified based on the monitoring.

Abstract: A system for efficiently configuring bindings based on a dependency graph is described. The system may generate or access a graph comprising a set of nodes. Each node may represent a binding and is associated with a component property of a component hierarchy corresponding to a hierarchical structure of a data model. Each node of the graph may be connected to at least one other node with an edge representing a dependency in the hierarchical structure of the data model. The system may receive a request to generate a view associated with the set of bindings. The system may determine an order to load the set of bindings based on the graph, and may load the set of bindings based on the determined order.

Abstract: A system including a developer client computer configured to provide inputs to a state machine generation client to configure a state machine. The system further includes the state machine generation client configured to generate structural code and associated code implementation files representative of the state machine, where the state machine generation client comprises: a graphical user interface (GUI). The GUI includes a state machine configuration window displaying a configurable representation of one or more states in the state machine and an ordering of the states of the state machine and a state key listing the one or more states in the state machine. The system further includes a code implementation system coupled to a code repository, wherein the code implementation system is configured to generate a dynamic state machine implementation based at least upon the generated structural code and associated code implementation files.

Abstract: A building system of a building including one or more memory devices having instructions thereon, that, when executed by one or more processors, cause the one or more processors to identify a capability of an entity in a building graph, the building graph including a plurality of nodes and a plurality of edges, the plurality of nodes representing entities of the building including the entity and the capability, the plurality of edges representing relationships between the entities of the building and the capability. The instructions cause the one or more processors to receive a command to perform an operation associated with the entity, the operation associated with the capability of the entity and provide the command to perform the operation associated with the entity to an operating system.

Abstract: Systems and methods of operating power tools. The method includes receiving a command to start a recording mode at a first electronic processor of a first power tool, and receiving at the first electronic processor, a measured parameter from a sensor of the first power tool while a first motor of the first power tool is operating. The method also includes generating a recorded motor parameter by recording the measured parameter, on a first memory of the first power tool, when the first power tool operates in the recording mode, and transmitting, with a first transceiver of the first power tool, the recorded motor parameter. The method further includes receiving the recorded motor parameter at an external device, transmitting the recorded motor parameter to a second power tool via the external device, and receiving the recorded motor parameter via a second transceiver of the second power tool.

Abstract: The present disclosure provides an online upgrade method and system for a multi-core embedded system. The system includes a service system and a multi-core embedded system. The service system is used to provide upgrade firmware files. The multi-core embedded system includes: a system on chip, including a multi-core embedded processor system and a programmable logic module, the programmable logic module maps the memory of the multi-core embedded processor system to the service system; a communication module, establishing the communication connection between the system on chip and the service system, receiving and caches the upgraded firmware files from the service system; a DMA module, used for fast data transfer between the communication module and the memory of the multi-core embedded processor system; an interrupt controller, executing interrupt processing, so that the multi-core embedded processor system can obtain the upgraded firmware files through the memory.

Abstract: The described technology is generally directed towards a machine learning development hub, and corresponding methods and computer readable media. The machine learning development hub can comprise a machine learning development platform complete with various tools for various stages of machine learning development. The machine learning development hub can furthermore comprise translation functions to translate received inputs into inputs to other machine learning development platforms. The machine learning development hub can collect credentials for the other machine learning development platforms and can connect to the other machine learning development platforms via their respective interfaces, in order to supply inputs and instructions thereto. The machine learning development hub can encrypt its communications to other machine learning development platforms to secure its interactions.

Abstract: A self-learning automated application testing system automatically generates test scripts during the execution of an application using an automatic test script generator plugged into the application. The test scripts are generated by capturing event data of events emitted during the execution of the application. The test scripts are compared to the test scripts stored in a test script repository and those test scripts that are determined to be duplicates of the existing test scripts are discarded while the remaining test scripts are stored as new test scripts in the test script repository. An application tester runs regression tests on the application per the new test scripts and logs the results to a test results repository. A dashboard is also provided that enables a user to view and edit the test scripts from the test scripts repository, change configuration settings from a configuration repository, and view test results from the test results repository.

Abstract: A query plan includes steps to implement a query and debug steps interleaved among the steps. An execution engine of a database system executes each step of the query plan to realize the query. The execution engine executes each debug step of the query plan to generate debugging information for the step preceding the debug step within the query plan. The debugging information is queryable.

Abstract: A system and method are disclosed for quality assurance and performance testing of supply chain applications and systems. Embodiments include providing a user interface for receiving a test case file that describes one or more actions to be tested and a properties file that maps one or more elements to one or more values, translating a received test case file and a corresponding properties file into a test case, and executing the test case by identifying the one or more actions identified in the test case and automatically invoking one or more testing components configured to execute a test using the one or more actions, wherein at least one of the one or more testing components is configured execute performance testing, and at least one of the one or more testing components is configured to execute regression testing.

Abstract: Systems and methods for predictive data analytics are provided. A method comprises generating a guided user interface (GUI) that guides one or more user operations on the user interface including: obtaining, from a database, a dataset including a plurality of data objects; determining one or more characteristics associated with a first data object of the plurality of data objects; identifying a subset of the dataset based at least in part on the one or more characteristics; selecting at least one machine learning algorithm; and training a machine learning (ML) model with respect to the first data object using the subset of the dataset and the at least one machine learning algorithm to generate a trained ML model; implementing the trained ML model with respect to the first data object in a cloud server to enable distributing the trained ML model to a plurality of client device via a network.

Abstract: A device identification apparatus includes: a communication information collection unit configured to acquire communication information of existing devices and an identification target device; a feature amount generation unit configured to make the communication information of the existing devices' feature amounts and assign labels to generate first training data, make the communication information of the identification target device feature amounts and assign a dummy label to generate second training data, and further acquire communication information of the identification target device to generate identification data; a machine learning unit configured to cause a learning engine to learn the training data, and input the identification data to classify the identification data into the labels; a degree-of-similarity calculation unit configured to calculate a degree of similarity for each label; and a device identification unit configured to use a new type determination threshold to determine whether the devic

Abstract: A graphically based tool and method for generating programming for a fire monitoring system. The locations of existing devices, such as detectors, in a building being monitored, can be visually presented in the context of the building. New devices can be installed, or the location of existing devices changed since all devices report their locations in the building to the tool. Device location information can be combined with building information to create a multi-dimensional representation of parts of the building being monitored.

Abstract: Invention is about a measurement and tracking system for providing the periodical waste collection service on the right time in the large cities. And it is also about for the quick intervention in negative situations in the waste container.