121 results about "Software tool" patented technology

Methods and systems are provided for adaptively configuring time delays between scans of a scan sequence performed using an imaging system, to maintain a temperature of components of an X-ray tube of the imaging system within a threshold temperature. A software tool is provided that allows a user to import, modify, and / or create scan sequence protocols (e.g., such as image quality (IQ) protocols) using a dedicated graphical user interface (GUI). The software tool parses the scan sequence protocols, using a thermal physics model of the X-ray tube to calculate a plurality of adaptive delays to be inserted between each scan of the scan sequence, such that all the components of the tube stay within predefined thermal limits for robust IQ or within a thermal range typical of a clinical site's thermal operating range. Each adaptive delay may be of a different length of time.

A system and method for designing and optimizing a hardware accelerator of a neural network is provided. In a pre-design phase, rules are extracted from compilation features that describe a transformational relationship between a neural network operator, a coarse-grained operator, and a fine-grained data stream. A fast mapper and a data flow mapper are generated for converting the neural network model into coarse-grained operator descriptions. In the coarse-grained design stage, a plurality of preliminary hardware accelerator designs are generated using an architecture optimizer. The coarseness operator descriptions are simulated using a coarseness simulator to obtain performance metrics for each preliminary accelerator design. In the fine-grained design stage, a data stream mapper and a fine-grained simulator are adopted to complete preliminary hardware accelerator design. A hardware accelerator is generated from the finally determined hardware accelerator design and a corresponding software tool chain is created, including a compiler and a software development kit for programming, debugging and deploying the hardware accelerator design.

A system and method is provided for designing and optimizing hardware accelerators for neural networks. During a pre-design phase, rules are extracted from compilation patterns that describe conversion between neural network operators, coarse-grained operators, and fine-grained dataflow. A fast mapper for converting neural network models to coarse-grained operator descriptions and a dataflow mapper are generated. A coarse-grained design phase employs an architecture optimizer to generate plural provisional hardware accelerator designs The coarse-grained operator descriptions are simulated using a coarse-grained simulator to obtain performance metrics of each provisional accelerator design. A fine-grained design phase employs a dataflow mapper and fine-grained simulator to finalize provisional hardware accelerator designs. A hardware accelerator is generated from a finalized hardware accelerator design and a corresponding software toolchain is created including a compiler and software development kit (SDK) for programming, debugging, and deploying the hardware accelerator design.

A system for automating software usage includes an agent configured to automate. The agent is trained on one or more training data sets. The one or more training datasets include one or more of a first training dataset including documents containing text interleaved with images, a second training dataset including text embedded in images, a third training dataset including recorded videos of software usage, a fourth training dataset including portable document format (PDF) documents, a fifth training dataset including recorded videos of software tool usage trajectories, a sixth training dataset including images of open-domain web pages, a seventh training dataset including images of specific-domain web pages, and / or an eighth training dataset including images of agentic trajectories of the agent performing interface automation task workflows.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for remotely modifying cloud-based client applications. The method can include: receiving a first request from a first client device of a user to initiate an interactive session with a cloud-based client application; reserving, in response to the first request, an application engine for executing the cloud-based client application remotely from the first client device; receiving a second request from the first client device to modify the cloud-based client application executing in the application engine using one or more software tools, wherein the one or more software tools are configured to execute remotely from the first client device; modifying the cloud-based client application in the application engine using the one or more software tools; and providing media data associated with the modified cloud-based client application to the first user via a display application on the first client device.

An application or software tool is used to test a device model with a physical device. The tool runs a test on the physical device via the network connection using the input of the test data. The test data includes the inputs and corresponding output values of the device model. The tool compares an output value of the physical device generated by the test with an output value of the device model to generate a result of the test. The test results are displayed on a display of the computing device.

Systems and methods are provided for performing customizable machine prediction using an extensible software tool. A specification including features of a trained machine learning model can be received and an interface for the trained machine learning model can be generated. The trained machine learning model can be loaded using the interface, the loaded machine learning model including a binary file configured to receive data as input and generate prediction data as output. Predictions can be generated using observed data that is stored according to a multidimensional data model, wherein a portion of the observed data is input to the loaded machine learning model to generate first data predictions, and a portion of the observed data is used by a generic forecast model to generate second data predictions. The first and second data predictions can be displayed in a user interface configured to display intersections of the multidimensional data model.

A disclosed method may include (i) receiving, by a cellular network health monitoring software tool, a natural language query from an agent of a mobile operator operating a fifth or later generation cellular network regarding operational status of a network function on the fifth or later generation cellular network and (ii) vectorizing, by the cellular network health monitoring software tool, the natural language query through vector embedding such that the query is standardized.

The invention relates to the application of artificial intelligence and advanced statistical methods in a single software tool to monitor and analyze quality issues throughout the life cycle of a product, the whole life cycle being:-zero kilometer; -the effective service life within the warranty period ("on-site warranty period"); -an effective service life not within the warranty period ("outside warranty period"). In addition, the invention further provides an innovative method for monitoring products beyond the warranty period based on the network capture technology and artificial intelligence.

A smart wearable device for hands-free data capture facilitates documentation of real-time observations and creation of new data objects within a software application based on the observations. Image data depicting one or more physical objects observed by a user of the smart wearable device, voice data indicating a user request related to the physical objects depicted in the image data, and contextual information related to the user and the physical objects depicted in the image data, are used to generate a prompt for input to a generative AI model that is to respond to the user request. Based on the prompt, the generative AI model outputs an application-specific command that is to be carried out by a given software tool of the software application, such as a command to create a new data object of a given type within the software application.

Embodiments herein describe circuitry and techniques to implement shunt current control of an on-chip voltage regulator of a memory storage system using hardware components and computer software tools. Disclosed embodiments provide an on-chip voltage regulator with enhanced performance, reducing power requirements, and minimizing noise and voltage fluctuations of the regulator output, based on a cache activity signal produced by a cache controller.

A method of utilizing gamification in computer-based time management, a system for performing the method, and a computer program product for performing the method, are configured to perform operations including: allocating, by a gamification time management software tool run by a computing device, a number of time units to a user for a given time period for a project; tracking, by the gamification time management software tool, how the user utilizes ones of the time units towards the project; and awarding, by the gamification time management software tool, reward units to the user based on the user utilizing the ones of the time units toward the project.

Methods and systems for generating digital threads that connect models and software tools for an interconnected digital engineering and certification ecosystem are provided. In one embodiment, a process for generating a software-code-defined digital thread includes receiving a first model representation of a first engineering model, a second model representation of a second engineering model, and an intent input. Determining, using a machine learning (ML) model, one or more model endpoints in the first and the second model representations. Generating, using a script-generating ML model, a platform orchestration script that accomplishes the intent input by connecting the first model representation and the second model representation, using the one or more model endpoints. Finally, storing the platform orchestration script as the software-code-defined digital thread. The digital threading of digital engineering models, with and without AI assistance, leads to exponential increases in efficiency of designing, testing, certifying, manufacturing, and operating physical products, allowing physical products to be made at digital speeds.

Aspects of the present disclosure provide techniques for dynamic request routing in a computing application. Embodiments include receiving a request via a user interface and determining, based on the request and associated contextual information, not to override use of a routing machine learning model for routing the request. Embodiments include providing the request to the routing machine learning model along with a prompt instructing the routing machine learning model to output an identifier of a software tool for handling the request and an input for the software tool. Embodiments include executing the software tool based on the identifier of the software tool and the input for the software tool. Embodiments include determining a response to the request based on the executing of the software tool and providing the response via the user interface.

Medical software tools platforms utilize a surgical display to provide access to specific medical software tools, such as medically-oriented applications or widgets, that can assist surgeons or surgical team in performing various procedures. In particular, an endoscopic camera may register the momentary rise in the optical signature reflected from a tissue surface and in turn transmit it to a medical image processing system which can also receive patient heart rate data and display relevant anomalies. Changes in various spectral components and the speed at which they change in relation to a source of stimulus (heartbeat, breathing, light source modulation, etc.) may indicate the arrival of blood, contrast agents or oxygen absorption. Combinations of these may indicate various states of differing disease or margins of tumors, and so forth. Also, changes in temperatures, physical dimensions, pressures, photoacoustic pressures and the rate of change may indicate tissue anomalies in comparison to historic values.

The application discloses a kind of based on OSLC's life cycle heterogeneous data packaging and tracing method, comprising: S1, the data source of each software tool in life cycle is analyzed, determine the data resource type, attribute and semantic association that need to be exposed;S2, according to the principle of covering and minimum principle, filter and limit resource type and attribute;S3, construct semantic packaging mechanism, make namespace, resource class and attribute definition custom glossary;S4, establish resource shape, form semantic constraint framework;S5, according to life cycle link, establish tracing semantic chain, define tracing relationship attribute and form cascade constraint;S6, tracing semantic chain is registered in semantic library in RDF format, realizes automatic identification and forward and backward tracing;S7, build OSLC adapter, generate full-link view by RESTfulAPI and DFS algorithm.The application realizes the semantic uniform packaging and automatic tracing of heterogeneous system data, with the advantages of strong consistency and high expansibility.

The invention discloses a metering automation system base detection method and software tool combined with machine learning, and the method comprises the steps: obtaining multi-source heterogeneous base data of a to-be-detected metering automation system, and constructing a base digital twinborn body corresponding to the to-be-detected metering automation system according to the multi-source heterogeneous base data; extracting base static characteristics, base dynamic characteristics and base association relation characteristics of the to-be-detected metering automation system according to the base digital twinborn body; fusing the static features of the base, the dynamic features of the base and the association relationship features of the base to construct a base version identification portrait corresponding to the to-be-detected metering automation system; and inputting the base version identification portrait into a pre-trained base detection model, and outputting a base detection report corresponding to the to-be-detected metering automation system through the base detection model, thereby improving the base detection efficiency and precision.

The first aspect of the invention is to disclose a method for constructing a white matter high-signal focus progress prediction model. The second aspect of the invention is to disclose an application method of the white matter high-signal focus progress prediction model constructed by the method. According to the method, clinical characteristics (such as age, BMI and blood sugar) and image indexes (such as FA, MO, ICVF and ISOVF) are fused, so that the limitation of single-modal data prediction is solved, and the accuracy and comprehensiveness of WMH progress prediction are remarkably improved; the prediction algorithm is packaged into executable software (. Exe), the Windows platform off-line operation is supported, the defect that the prior art is lack of mature software tools is overcome, and clinical popularization and application are facilitated; the model can quantify the contribution degree of each feature to a prediction result, provides an intuitive decision basis for doctors, and improves the practical value of the model in clinical practice.

This invention relates to the field of microservice anomaly detection, and more particularly to a microservice software optimization method based on reinforcement learning. This invention acquires historical operation data from the user terminal to extract the user terminal's operation rhythm features; combines these operation rhythm features with the uniformity of the repeated attack interval to analyze the user terminal's operation rhythm representation value, thereby marking the user terminal's rhythm steady-state category; in response to the user terminal being marked as having a low rhythm steady-state category, anomaly assessment analysis of the user terminal's game operations is performed; based on the conditional judgment results, combined with the matching degree between the aiming timestamp and the target's updated position timestamp, and the angle between the screen viewpoint and the firing direction, it is determined whether the user terminal is using unauthorized microservice software. This invention focuses on the accurate identification of unauthorized microservice software tools in terminal scenarios, improving the accuracy of anomaly detection and reducing the probability of false positives and false negatives through multi-dimensional feature fusion, hierarchical detection logic, and cross-validation mechanisms.

The invention provides an ICD dynamic loading software tool development method suitable for an aircraft power distribution system. The method comprises the specific steps that an aircraft power distribution system ICD database is established; generating an ICD configuration version; generating a cache variable ICD feature code table according to the ICD configuration version; and searching an ICD release version corresponding to the cache variable ICD feature code table in an airplane power distribution system ICD database, and outputting an ICD review file and an ICD interface program. The ICD dynamic loading software tool developed through the method can be used for generating an ICD file of an airplane power distribution system, the ICD consistency of upstream equipment and downstream equipment is enhanced, repeated work in the ICD formulating and coding process is greatly reduced, and the development efficiency is improved.

The exemplary embodiments may provide a software tool that enables a software designer to derive a color from a reference color. The software designer may specify changes in color characteristics that are to be applied to the reference color to derive the desired color. The user interface may be provided to allow the software designer to enter information regarding the reference color and the desired changes in color characteristics. The user interface may display the reference color and that resulting desired color so that the software designer may get a visual appreciation for the difference in the colors. The software tool of the exemplary embodiments may also include a color palette generator. The color palette generator may generate a palette of colors from a reference color.

The present disclosure relates to a method for developing a design of an electronic circuit system in one or more Electronic Design Automation (EDA) environments. The method comprises: receiving data indicative of an event related to a specific point in time during development of the design of the electronic circuit system using a first software tool. A development action may be determined based on the event. Design data descriptive of a state of the design at the point in time, and a library setup descriptive of libraries used by the first software tool to provide the design at that state may be determined. A design snapshot data structure comprising entries representing the design data and the library setup may be created. The design snapshot data structure may be shared with a second software tool for enabling execution of the development action using the second software tool.

The invention discloses a SysML modeling design method for a ship pump valve control system, and belongs to the field of digital modeling design, and the method comprises the steps: building a user demand diagram of the ship pump valve control system through a modeling software tool based on a SysML modeling language, building a top-layer use case diagram of the ship pump valve control system based on the user demand diagram, and building a top-layer use case diagram of the ship pump valve control system based on the top-layer use case diagram; the method comprises the following steps: constructing a function demand graph and a performance demand graph corresponding to the function demand graph based on a user demand graph and a top-layer use case graph, establishing a corresponding module definition graph according to each function demand in the function demand graph based on the performance demand graph so as to realize a physical entity of a corresponding function, and further carding the module definition graphs to obtain a physical entity of the corresponding function; and obtaining an object implementation module corresponding to each function demand in the function demand diagram, thereby constructing a hardware equipment scheme, and completing SysML modeling design of the ship pump valve control system. The traceability and consistency in the ship system design process are enhanced, and effective assistance is provided for rapid iteration updating of a design scheme.

Software tools, tools flows and software infrastructure to extract content and execute extracted content in hardware (termed content-computing) from a high-level language description of an application software program is disclosed. A software program for content-computing comprises: a high-level logic synthesis software to convert an identified content in an application program to a synthesized hardware image; and a language compiler software to instantiate the content customized instruction to execute in a configurable hardware unit programmed to the synthesized hardware image. A software tools flow to generate executable instructions in an application software program comprises a combined high level logic synthesis software and language compiler software to: identify an application software program content that is targeted for hardware implementation as a hardware function in a configurable hardware unit that comprises configuration memory; generate a synthesized gate-level netlist of the targeted hardware function; generate a bit-stream of configuration memory to program the targeted hardware function in the configurable hardware unit; and generate a compiled hardware instruction for a processor unit to execute the instruction in the configured hardware function.

A system for automating software usage includes an agent configured to automate. The agent is trained on one or more training data sets. The one or more training datasets include one or more of a first training dataset including documents containing text interleaved with images, a second training dataset including text embedded in images, a third training dataset including recorded videos of software usage, a fourth training dataset including portable document format (PDF) documents, a fifth training dataset including recorded videos of software tool usage trajectories, a sixth training dataset including images of open-domain web pages, a seventh training dataset including images of specific-domain web pages, and / or an eighth training dataset including images of agentic trajectories of the agent performing interface automation task workflows.

The invention provides an application development method and device and a program product. According to the method, a first compiling interface is displayed in response to a first trigger operation, the first compiling interface is associated with a first software toolkit, and the first software toolkit is integrated in a pluggable form; and in response to the second trigger operation, the first function code is compiled into an intermediate code and / or compiled into a second function code in combination with the accessed first interface information base, the first function code is compiled in a first language form, and the second function code is presented in a second language form. According to the method, the quick debugging of the code can be realized and / or the second function code which can be directly matched with a native platform and has the performance comparable to that of a pure native application can be obtained through a unified development language without compiling the whole client project, and the development efficiency and the high performance during operation are both considered; and the development threshold and the development cost of the client application are better reduced.

A software toolkit for research and discovery is disclosed. The software toolkit includes a data model defining entity objects and document objects, a configuration system for describing object data structures, a rendering engine for generating user interface components based on the configuration system, a linking system for connecting entity objects and document objects, and a search and exploration interface for accessing and analyzing linked objects. The configuration system may further include a declarative language for defining object attributes and relationships.

A software tool for analysis of the economic and global warming impact of multilayer barrier films enables the design of a sustainable circular economy for the multilayer barrier films is disclosed herein. The tool can provide circular economy analysis for a plurality of different plastic types and various potential end of life scenarios.

The application provides an ECG signal labeling method, a software tool and a system based on key points and quality label assistance. The method comprises: standardizing an ECG signal to form a data set S0 to be labeled; performing data filtering and noise reduction preprocessing on S0; calculating key points (R-Peak, P-Peak and T-Peak) of the ECG signal; training a quality evaluation model and calculating a quality label of the ECG signal based on the model; building a visual labeling platform, loading the key points and the quality label calculated in the previous step to the labeling platform as auxiliary prompts for manual labeling; manually labeling R-Peak, P-Peak and T-Peak, noise levels and arrhythmia characteristics; and saving the labeling results in a standardized format. The scheme of the application can be applied to quality evaluation of ECG signals collected in a complex noise environment, and has important significance for research in the direction of ECG signal processing, medical signal intelligent analysis algorithm and the like by using a visual labeling tool and auxiliary labeling information to assist in building an ECG related data set in a man-machine interactive strategy.

The invention discloses an unstructured data processing method and device. The method comprises the following steps: establishing a secure data channel between a bank external system and a bank internal unstructured data storage system; based on the security data channel, receiving an access request from a bank external system; processing unstructured data according to the type of the access request; when the access request is a query request, generating an unstructured data identifier based on a request parameter; calling a software toolkit of the unstructured data storage system to pull a corresponding file of the query request to local storage, and forming an unstructured data file and a corresponding return virtual path; receiving an access instruction for the unstructured data file; and when the access request is an uploading request, decoding the Base64 coding file, calling the software toolkit, and storing the software toolkit in an unstructured data storage system. The method and the device are used for improving the efficiency and the accuracy of querying, uploading and maintaining the non-structural data.