The present disclosure relates to a system, method, and computer program for testing the accuracy of software that identifies user interface (UI) elements on a webpage (“the auto-identifier software”). The system enables a user to tag UI elements on a webpage with labels. The system creates a normalized specification for the webpage, where the specification includes a mapping of UI elements to normalized labels. The system uses the auto-identifier software to identify UI elements on the webpage. The system evaluates the performance of the auto-identifier software with respect to the webpage using the specification. The system displays diagnostics related to the performance of the auto-identifier software. In certain embodiments, the method is used for testing the accuracy of autofill software on a webform. In certain embodiments, the method is used for testing the accuracy of cart-scraper software on a checkout page.

A perfusion system includes a fluid reservoir configured to hold a portion of fluid, the portion of fluid having a volume, the fluid reservoir having a total capacity that is greater than the volume; an imaging device, the imaging device configured to obtain image data corresponding to the fluid reservoir; and a controller. The controller is configured to receive the image data from the imaging device; determine the volume based on the image data; and facilitate control, in response to at least one of a user input and the determined volume of the portion of fluid, of an operating parameter corresponding to the fluid reservoir to facilitate changing or maintaining the volume of the portion of the fluid.

An apparatus to facilitate watchpoints for debugging in a graphics environment is disclosed. The apparatus includes processing resources to perform graphics operations using a plurality of threads; and load store pipeline hardware circuitry coupled to the processing resources to: configure a watchpoint register with a value of a watchpoint address, the watchpoint address comprising an address of a memory location in the processor; receive a memory access request from a thread of the plurality of threads; determine, using the watchpoint register, whether the memory access request is requesting access to the watchpoint address; and responsive to the memory access request requesting access to the watchpoint address, return an exception payload to the thread, the exception payload comprising watchpoint details corresponding to the watchpoint address and a scoreboard identifier (SBID) associated with the memory access request.

A method for displaying an animation by a display chip of an electronic device, which includes a non-volatile memory and a random-access memory. The display chip includes a video output register and a display register. The method includes a first static programming phase including configuring the video output register; writing n images in the memory, n being an integer higher than or equal to two; writing into the memory of a plurality of nodes, such that each node includes the address in the memory of at least one portion of an image, as well as the address of the following node in the memory, the last node including the address in the random-access memory of the first node; and configuring the display register. The method also includes a second phase in which the n images are read by the display chip by the display register, to display the animation.

An anomaly detection device according to the embodiment includes a prediction unit and an anomaly score calculation unit. The prediction unit performs a process to obtain, at each time step of the time series data of m dimensions, distribution parameters required to express a continuous probability distribution representing a distribution state of predicted values that can be obtained at a time step t of the time series data of m dimensions. The anomaly score calculation unit performs a process to calculate, using distribution parameters obtained by the prediction unit, an anomaly score corresponding to an evaluation value representing evaluation of a magnitude of anomaly in an actual measurement value at the time step t of time series data of m dimensions.

A method and a system for power equipment diagnosis based on windowed feature and Hilbert visualization are provided, which belong to the field of power equipment fault diagnosis. The method includes: obtaining an original data set of monitoring data containing power equipment fault features; introducing windowed feature calculation considering logarithmic constraints to process data to obtain a feature sequence; using Hilbert visualization method for further processing to obtain a Hilbert image data set used to train and verify a convolutional neural network; and finally directly inputting newly obtained test sample data after windowed feature calculation and Hilbert visualization processing into the trained network for fault diagnosis and location. The disclosure uses windowed feature calculation and Hilbert visualization to process the monitoring data of a power equipment to fully extract fault features and effectively improve diagnostic accuracy, and uses the convolutional neural network for diagnosis to improve the intelligence of diagnosis.

A set command is issued to transfer a diagnostic parameter record to a communication component of the computing environment. The diagnostic parameter record specifies a diagnostic action to be taken by the communication component to obtain diagnostic information and specifies a version of the diagnostic information to be obtained. Based, in part, on issuing the set command, the diagnostic information is obtained. The version of the diagnostic information obtained is the version specified, based on the version specified being supported by the communication component.

The present invention generally relates to systems and methods for detecting and/or isolating any causes of defective and/or partially defective IoT device or individual sensor device(s). In embodiments the present invention generally relates to fixing, replacing, and/or troubleshooting IoT devices and/or individual sensor device(s) that are defective and/or partially defective.

A method for monitoring an operation condition of an interactive information system is provided. The interactive information system includes a touch panel and a touch control unit, and executes a resident scanning program to detect whether a hardware-related issue or a software-related issue of the touch panel or the touch control unit has occurred. When the hardware-related issue has occurred, the interactive information system downloads and executes a hardware diagnosis program to obtain a diagnosis result. When the software-related issue has occurred, the interactive information system downloads and executes a software adjustment program to resolve the software-related issue.

The throughput estimation device 10 comprises a storage 11 which stores tuples, each including an evaluation formula and parameter data, and a calculation device constructing unit 12 which constructs a calculation device according to a configuration including data associated with software processes, data associated with hardware resources, data associated with interconnections between a software process and a hardware resource, and the tuples, wherein the calculation device inputs a load vector describing input information load to the software processes, and outputs a result value.