42 results about "Application computers" patented technology

A computer-implemented system for multidimensional generative value assessment and applicant selection, consisting of: a data collection unit configured to electronically receive applicant data consisting of structured academic records, work experience records, digital documentation, and unstructured narrative responses generated from generative self-assessment instruments and contextual interviews; a feature extraction unit coupled to the data acquisition unit, configured to apply computer-assisted text processing, semantic analysis, and token-level attribute identification to transform narrative responses and structured data into multidimensional feature vectors that represent generative indicators of innovation, mentoring, collaborative performance, resilience, social contribution, ethical consistency, and predicted institutional impact; a weighting calculation unit configured to assign weight values ​​to the extracted feature vectors based on a digital generative profile definition matrix that includes dimensions, sub-criteria, indicators, documentation requirements and importance coefficients, with the weighting being distributed across the generative dimensions defined in the digital matrix and configurable according to the institutional context; a quantitative rating unit configured to calculate a generative rating score by aggregating weighted feature vectors derived from self-assessment inputs, interview-based ratings, document analyses, and authenticity predictions, with the aggregation including normalization, nonlinearity correction, conflict handling, and artifact frequency balancing to obtain a consolidated score; a proof verification unit configured to electronically validate referenced digital evidence by performing content extraction, metadata verification, pattern matching, and cross-document correlation to determine authenticity, credibility, and contextual relevance with respect to the calculated feature vectors; a classification determination unit configured to assign a classification level to an applicant by comparing the generative assessment score with a set of system-defined calculation thresholds, including at least a lower threshold, a middle threshold and an upper threshold, the classification levels representing different generative maturity states and determining subsequent eligibility for selection; a decision generation unit configured to produce a digital output data set that includes classification level, feature aggregation summaries, evidence validation results, and recommended organizational actions, wherein the decision generation unit encodes the data set in a digitally signed, tamper-proof format and stores it on a non-volatile storage medium; and A system control unit acts as an operational interface to all other units and is configured to orchestrate data flow, scheduling, process state transitions, and event logging to ensure verifiable traceability, consistency, and auditability of the evaluation and selection processes.

Some embodiments are directed to a resource allocation analysis system implemented via a back-end application computer server. A resource data store may contain electronic records associated with a set of resource types, each electronic record including an electronic record identifier and resource parameter. The back-end application computer server may receive, from the resource data store, information about a set of resource types to be analyzed, including the associated resource parameters. The computer server may then execute a differential evolutionary algorithm to optimize the set of resource types based on at least one non-linear constraint and generate resource analysis results. The back-end application computer server may, according to some embodiments, perform a resampling process that uses non-parameterized historical data, regression on at least one resource type, and moment matching.

A back-end application computer server may receive a risk relationship analysis request from a user device. The computer server may then extract and summarize information, by a data extractor using deep learning and natural language processing from multiple data sources (including knowledge graphs, websites, and historical loss reports). A response generator may then generate an accurate and contextually relevant response based on the extracted data and information in a risk relationship data store. The risk relationship data store may, for example, contain electronic records associated with a plurality of risk relationships between the enterprise and parties. The relevant response can then be transmitted to the user device.

The present invention relates to an automatic response device, method, and computer program product for automatic response. The automatic response device (6) comprises: a candidate determination unit (31) that determines a plurality of candidate responses that are likely to be requested by the passenger based on at least one of past response history to speech made by a passenger of the vehicle (1), external information, and internal information, and determines, with respect to each candidate response, a combination of hypothetical speech data representing the assumed speech content when the response is requested and command data for executing the response; an identification unit (32) that identifies the speech content of the passenger from voice signals collected by a microphone (4) provided in the vehicle (1); a selection unit (33) that selects the candidate response from the plurality of candidate responses that corresponds to the hypothetical speech data most consistent with the identified speech content; and a response processing unit (34) that executes a response that follows the command data regarding the selected candidate response.

This invention discloses an offline task scheduling method that maximizes resource utilization, belonging to the fields of cloud computing applications, computer technology, and green computing. Addressing the shortcomings of current methods such as low resource utilization and the fact that scheduling processes only consider current resource usage without incorporating future resource needs, this invention proposes a method for maximizing resource utilization in offline task scheduling. It employs a resource prediction method, considering future resource waste at the current scheduling point in time, and appropriately increases the predicted resource demand value through a feasibility index, thereby improving the future success rate of scheduled tasks. Heuristic and search pruning methods are used to reduce the number of searches when searching a large number of server states, reaching the search target faster. By setting termination conditions, this method can output scheduling results more quickly and ensure the quality of the results. This method is particularly suitable for scheduling offline tasks to clusters with existing online tasks.

Some embodiments are directed to a regulatory compliance tool implemented via a back-end application computer server. A location based regulatory compliance data store may contain electronic records associated with a set of locations. Each electronic record may include, for example, an electronic record identifier and at least one regulatory compliance parameter. The computer server may receive, from a user via an interactive graphical user interface display, a set of task indications associated with regulatory compliance. The computer server may also receive, from the user, a selected location from a set of potential locations. The computer server may then retrieve, from the location based regulatory compliance data store, information about the at least one regulatory compliance parameter associated with the selected location. The computer server may then update the display based on the retrieved information about the at least one regulatory compliance parameter associated with the selected location.

According to some embodiments, systems and methods are provided including a computer processor; and a computer memory, coupled to the computer processor, storing instructions that, when executed by the computer processor, cause the back-end application computer server to: receive an absence planning request from a first user; receive data for the first user from the data store and at least one of a first third-party platform and a second third-party platform; extract data from the received data for the first user; apply an absence planning algorithm to the extracted data to dynamically generate an absence plan; and output the generated absence plan; and a communication port coupled to the back-end application computer server to facilitate a transmission of data with remote user devices to support interactive user interface displays, including the absence plan, via a distributed communication network. Numerous other aspects are provided.

Computer-implemented methods and systems for integrating computer applications are disclosed. One method includes querying a primary computer application for current state of a newly created object; receiving the current state of the object, and generating object data for a secondary computer application based on the current state of the object. The method further includes communicating an object creation request to a secondary computer application, the object creation request including the generated object data, receiving a secondary computer application object identifier from the secondary computer application upon creation of the object at the secondary computer application, and communicating the secondary computer application object identifier to the primary computer application for storing in a record of the object created at the primary computer application.

The application relates to the technical field of deep learning, in particular to a UAV viewpoint optimization method, application, computer system and readable storage medium. By constructing a time sequence state space which fuses the spatial domain and frequency domain features of a leaf image and UAV parameters, a viewpoint decision action containing pose and focal length changes is generated, and a proximal policy optimization algorithm is combined with a behavior cloning training method, so that the UAV autonomously searches and locks an optimal viewpoint without occlusion and with consistent scales in a complex occlusion environment, high-quality leaf images are acquired to realize accurate pest and disease identification. The application aims to solve the problem of how to make the UAV autonomously optimize the observation viewpoint according to the leaf occlusion and image scale changes in the multi-layer leaf crop inspection process.

According to some embodiments, systems and methods are provided including a computer processor; and a computer memory, coupled to the computer processor, storing instructions that, when executed by the computer processor, cause the back-end application computer server to: receive an absence planning request from a first user; receive data for the first user from the data store and at least one of a first third-party platform and a second third-party platform; extract data from the received data for the first user; apply an absence planning algorithm to the extracted data to dynamically generate an absence plan; and output the generated absence plan; and a communication port coupled to the back-end application computer server to facilitate a transmission of data with remote user devices to support interactive user interface displays, including the absence plan, via a distributed communication network. Numerous other aspects are provided.

The invention relates to the technical field of human-computer interaction, in particular to a method for optimizing human-computer interaction interface navigation by applying a computer vision technology, which comprises the following steps: collecting user interaction data in real time through the computer vision technology and analyzing historical interaction data; constructing a cognitive map of each interface element based on an analysis result of the historical interaction data and the current interface layout; identifying key decision points and non-key areas in the cognitive map to adjust visual characteristics of each interface element; calculating cognitive loads of the user interaction paths based on the cognitive map and the user interaction data to generate a priority list of known user interaction paths; and adjusting the interface layout according to the current navigation time consumption and the cognitive load of the user interaction path in progress. According to the method, the interface layout is adjusted by matching the real-time and historical interaction paths of the user and combining the consumed time and the cognitive load, so that the requirements can be responded in real time, the navigation difficulty is timely intervened and reduced, and the interaction fluency and pertinence are improved.

A planned resource allocation data store may contain electronic records representing a plurality of planned resource allocations for an enterprise. An actual resource allocation data store may contain electronic records representing a plurality of actual resource allocations. A back-end application computer server may receive, from a remote user device associated with a first user identifier, data about planned and actual resource allocations and update the data stores. The computer server may also receive an indication of a period of time to be analyzed and access information in the planned and actual resource allocation data stores associated with the first user identifier and the period of time. A total planned occupancy value and a total actual occupancy value may then be calculated and displayed via an interactive user interface based on the accessed information.

Introduced here are approaches to training and then employing computer-implemented models designed to generate synthesized speech using a Universal Variable Model (UVM). The UVM is pre-trained using reference audio samples and associated text prompts to comprehend and replicate various aspects of human speech, including intonation, rhythm, and pronunciation. In the training process, the UVM learns general patterns and relationships between the acoustic properties of speech and the linguistic features of text from a dataset covering different linguistic contexts, accents, and speakers. This enables the UVM to generate natural-sounding speech without the need for personalized training on the user's voice. Users of the media production platform can submit text inputs along with a reference audio sample, and the UVM will produce corresponding audio output in the same voice as the reference sample.

Embodiments relate to automatically generating a basket of items to be recommended to a user of an online system. The online system communicates a basket opportunity to a group of retailers, wherein the basket opportunity defines a plurality of item categories each associated with a respective item to be included in a basket. The online system receives, from each retailer in response to the basket opportunity, a respective bid of a plurality of bids for the basket opportunity. The online system applies a computer model to each bid to determine a score for each bid and selects a winning bid for the user based on determined scores for the bids. For each item category, the online system populates the basket with a respective item from a catalog of a retailer that is associated with the winning bid. The online system then presents the basket with items to the user.

A back-end application computer server may receive a request along with a descriptive term. A look-up process may be performed based on the descriptive term (and hidden terms) may establish a set of potential pre-determined descriptions. The user may select one of the potential descriptions, and a user identifier may be associated with the request. A series of dynamic information exchanges may then help assign a category to the user identifier. A partial set of initial request details may be received from a third-party device and the user may adjust and / or add details to create a complete set. A potential value may then be calculated for the request. An indication of the potential value may be transmitted to the user, and information about the user identifier may be transmitted to a user response terminal to facilitate communication between the user response terminal and the user.

Example methods and systems for sensitive information protection during screen sharing on a remote desktop are described. In one example, a computer system may establish a connection between a remote desktop and a client device to allow access to multiple applications supported by the remote desktop. The computer system may obtain configuration information identifying sensitive information that includes at least a particular application from the multiple applications or an information item. Based on the configuration information, the computer system may monitor the particular application or the information item. In response to detecting that (a) screen sharing is enabled for a first user to share a visual representation associated with the remote desktop with a second user and (b) the particular application or the information item being monitored is active, the computer system may perform a remediation action to protect against potential disclosure of the sensitive information.

A multi-System on Chip (SoC) hand-tracking platform is provided. The multi-SoC hand-tracking platform includes a computer vision SoC and one or more application SoCs. The computer vision SoC hosts a hand-tracking input pipeline. The one or more application SoCs host one or more applications that are consumers of input event data generated by the hand-tracking input pipeline. The applications communicate with some components of the hand-tracking input pipeline using a shared-memory buffer and with some of the components of the hand-tracking input pipeline using Inter-Process Communication (IPC) method calls.

This disclosure provides a page rendering method, apparatus, device, and storage medium, relating to the field of computer technology, particularly to the fields of internet applications, computer vision, and page processing. The specific implementation scheme is as follows: In response to detecting a rendering instruction for a target page, a pre-rendered object of a first functional component is displayed on the target page; target data corresponding to the first functional component is requested from the server; wherein the target data corresponding to any functional component includes static business data and dynamic business data; in response to obtaining the target data corresponding to the first functional component, based on the target data corresponding to the first functional component, rendering of the display object for the first functional component is performed on the target page, and the pre-rendered object displayed on the target page is hidden. Therefore, this scheme can improve page loading speed.

A method is implemented to compress, analyze, or store time-series data at a computer system having one or more processors and memory. The computer system obtains from an electronic device a plurality of time-series data sets, and each time-series data set includes a temporally indexed sequence of data items. The computer system identifies a first data pattern that is shared by the plurality of time-series data sets, the first data pattern including a first subset of successive data items, and represents the first data pattern with a first pattern indicator. The first pattern indicator is applied in place of the first subset of successive data values corresponding to the first data pattern in each of the plurality of time-series data sets. The computer system stores the first data pattern and the plurality of time-series data sets each of which includes the first pattern indicator.

A system and a method are disclosed. The method includes generating, for an input frame, a jittered version of the input frame by applying a computer-implemented image distortion operation to the input frame; performing temporal regularization by comparing segmentation predictions between the input frame and the jittered version of the input frame; and training a frame-level video segmentation network based on the temporal regularization.

The invention discloses a gas turbine blade design method, computer equipment and a computer readable storage medium. The method comprises the steps that a reference blade is selected to establish an initial CMC blade shell model; establishing an equivalent macroscopic model according to different weaving processes and carrying out thermal-mechanical coupling analysis; a final plate CMC blade shell is determined through fiber arrangement optimization; designing a CMC and metal combined structure and carrying out interfacial strength analysis and iteration; the blade performance is verified by combining simulation and a high-temperature test; according to the method, rapid verification and performance optimization of CMC blade design are achieved through fiber arrangement optimization, interface structure iteration and metal additive manufacturing, the using amount of cooling gas can be effectively reduced, the manufacturing period is shortened, the verification cost is reduced, the blade strength and reliability are improved, and the method is suitable for blade structure upgrading of an existing gas turbine unit and application of novel high-temperature materials; a computer instruction is stored on the computer readable storage medium and used for enabling a computer to execute the gas turbine blade design method.

A device, system and method for filtering provider objects from one or more provider systems are provided. An intermediation server implements a computing-process flow associated with a client device and one or more provider systems. The server receives, from the client device, during implementation of the computing-process flow, search criteria, and further receives provider objects that meet the search criteria, the provider objects associated with the one or more provider systems. The server applies computer-code content filters to the provider objects, the filters received from one or more computing devices excluded from the computing-process flow. When a given provider object fails to pass all the computer-code content filters, the server removes the given provider object from the provider objects, to generate filtered provider objects, and the server provides, during implementation of the computing-process flow, the filtered provider objects to the client device.

A method of generating a user interface for presentation to a user. The method comprises executing a first application computer program to provide a user interface, executing agent computer program code to interrogate and modify said user interface during execution of said first application computer program, and presenting said modified user interface. The first application computer program may be run on a server, while the modified user interface may be presented to a user at a client connected to said server.

Provided in the embodiments of the present application are a data processing method and a computer device, which can be applied to the field of computer data processing. The computer device runs a first process in a kernel mode and a second process in a user mode, and runs a code segment by means of the first process, so as to perform the following operations: acquiring first information, the first information comprising the second process requesting from the kernel mode a control memory of a first type, a first permission and a first length; if the first permission is a target permission, creating a control memory on the basis of a created dynamic radix tree, so that the second process operates on the control memory on the basis of the first permission; and once the use of the control memory is completed, releasing same. By combining the created control memory with the dynamic radix tree, the present application achieves communication between two processes in a separate state, so that a userspace service operates on the created control memory on the basis of corresponding permissions, thereby ensuring the independence of the userspace service without increasing the kernel complexity, and making the userspace service more flexible and secure.

A process of generating data carrying information on a treatment recommendation for a clinician including presenting a set of questions to a subject at a computer implemented user interface, each question having a defined loading of one of a set of behavioural factors, receiving responses to the set of questions from the subject at the computer implemented user interface, quantifying each response to represent a scale of the response, combining the response with a mapping of the item to its respective behavioural factor to generate data carrying information representing the scale of response and mapping of the response to the behavioural factor, combining the quantified responses for each behavioural factor to generate data carrying information on combined responses for each behavioural factor in the set, and applying a computer implemented analytical process to characterise the subject using the behavioural factors to generate data carrying information on a characterisation of the subject by behavioural factor.

According to some embodiments, systems and methods are provided including instructions to: receive a workflow; retrieve a plurality of tasks associated with the received workflow; generate a timeline for execution of each task including for at least one task a lead time and a dependent task; receive a user assignment for each task; and transmit the timeline and the user assignment to a workflow scheduler and the assigned user. A communication port is coupled to the back-end application computer server to facilitate an exchange of data with a remote device to support interactive user interface displays that provide information about the timeline. Numerous other aspects are provided.

The embodiment of the invention provides a data processing method and computer equipment, which can be applied to the field of computer data processing, a first process in a kernel mode and a second process in a user mode run on the computer equipment, and a code segment runs through the first process to execute the following operations: obtaining first information, the first information comprises that the second process applies for a control memory of a first type, a first permission and a first length from the kernel mode, and when the first permission belongs to the target permission, the control memory is created based on the created dynamic cardinal number tree, so that the second process operates the control memory based on the first permission and releases the control memory after the control memory is used up. According to the method, communication of the two parties in the process separation state is realized through the constructed control memory and in combination with the dynamic cardinal tree, so that the off-core service operates the constructed control memory based on the corresponding authority, and the independence of the off-core service is ensured and the off-core service is more flexible and safer on the premise of not increasing the complexity of the core.

According to some embodiments, systems and methods are provided including a computer processor; and a computer memory, coupled to the computer processor, storing instructions that, when executed by the computer processor, cause the back-end application computer server to: receive an absence planning request from a first user; receive data for the first user from the data store and at least one of a first third-party platform and a second third-party platform; extract data from the received data for the first user; apply an absence planning algorithm to the extracted data to dynamically generate an absence plan; and output the generated absence plan; and a communication port coupled to the back-end application computer server to facilitate a transmission of data with remote user devices to support interactive user interface displays, including the absence plan, via a distributed communication network. Numerous other aspects are provided.

Embodiments may provide External File Sharing (“EFS”) systems and methods via a back-end application computer server of an enterprise. A governance platform may identify an internal enterprise file to be shared external to the enterprise. The governance platform may then associate information in the identified internal enterprise file with at least one sensitivity label (e.g., company confidential, highly restricted, etc.). The governance platform can then automatically arrange, via a site of a cloud-based online collaborative platform, for a remote guest user device to access the information in the identified internal enterprise file in accordance with the at least one sensitivity label. A communication port, coupled to the back-end application computer server, may provide an EFS graphical user interface to an administrator device, internal to the enterprise, via a distributed communication network. The graphical user interface may, for example, exchange information indicating the at least one sensitivity label.

1.The name of the design product: multifunctional intelligent pole (exhibition flight). 2.The use of the design product: the design is realized through the application of computer, network and communication, Internet of Things technology, realizes the remote centralized control and management of various devices on the communication pole body, which contains street lamp lighting control system, WIFI, micro base station, video monitoring management, advertising screen broadcast control system, city environment real-time monitoring, emergency call system, broadcast, charging pile system, unmanned aerial vehicle charging platform, etc., is used for intelligent lighting, emergency security and convenient service in three types of places. 3.The design points of the design product: in shape. 4.The picture or photo that can best show the design points: perspective view.