118 results about "Computer platform" patented technology

A computer-implemented method, computer program product and computing system for receiving a message concerning an event within a computer platform, wherein the message concerns a technology type and includes raw data; defining a cipher for the technology type, thus defining an associated cipher; processing the raw data included within the message using the associated cipher to define supplemental data for the technology type; and forming enriched data for the technology type based, at least in part, upon the raw data and the supplemental data.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

A system for computer assisted navigation during surgery includes a computer platform that operates to register a target surgical area of a patient. In certain cases, a process includes: obtaining a pre-op CT image of a pelvic region of a patient and intra-operatively obtaining a point cloud data about the pelvic region with a navigated instrument, generating a 3D bone model which excludes non-targeted area such as a femur, and then merging the 3D bone model to the point cloud to register the target surgical area.

System and methods are disclosed for providing unforgeable telemetry on computer platforms. Mathematical modeling and theorem proving are utilized to guarantee the integrity of telemetry probe execution flow and trigger, thereby preventing circumvention and tampering of logged probe data. In contrast to current state-of-the-art solutions that rely implicitly on the operating environment, this approach provides a sound and complete assurance of telemetry output. The system enables organizations to map unforgeable telemetry probe data to industry and government cybersecurity regulatory controls, ensuring compliance therewith. This invention addresses the shortcomings of existing solutions, including their vulnerability to sophisticated attacks, operational complexity, and inability to provide unforgeable telemetry data, thereby providing a reliable and accurate monitoring output in the presence of cyberattacks on computer platforms.

The invention discloses a micro-grid cooperative scheduling control method, system, equipment and medium based on edge calculation, and relates to the technical field of computer platform load balancing, and the method comprises the steps: collecting power grid operation data through a micro-grid unit, carrying out the short-time power prediction of the micro-grid unit according to the power grid operation data, and obtaining a load prediction value; deploying a genetic algorithm at an edge node, and optimizing a load prediction value to obtain a scheduling strategy parameter; the scheduling strategy parameters are input into the micro-grid units, a game model is constructed to carry out multi-micro-grid cooperative game, and optimal scheduling strategy parameters are output; and performing power output scheduling through a multi-stage control mechanism. According to the method, through multi-dimensional data acquisition and sequence feature learning of micro-grid units, high-precision short-time power prediction is realized, a rapid convergence local optimization strategy is obtained, it is ensured that multiple micro-grids reach Nash equilibrium under autonomous conditions, and rapid response to sudden disturbance and effective correction of steady-state errors are realized.

Disclosed in the present application are a configuration-free and maintenance-free method and system for relay protection and fault information substations, relating to the technical field of computer platform load balancing. The method comprises: acquiring all network node information by means of a relay protection and fault information master station, and constructing a network topology diagram; marking a newly added node in the network topology diagram; establishing communication with the marked network node, and uploading the original version of all data of the marked network node to a secure area I by means of a dispatching data network; performing account configuration on a plant side relay protection and fault information substation, and downloading configuration file data to the relay protection and fault information substation; parsing a packet at the relay protection and fault information master station; and establishing a protocol library at the relay protection and fault information master station, and performing protocol conversion and data parsing on the original version packet uploaded by the newly added node. The configuration-free and maintenance-free method for relay protection and fault information substations provided by the present application allows for the data received by the relay protection and fault information master station being completely consistent with the raw data of the plant side, thereby improving the working efficiency and reducing the working cost.

The invention discloses an intelligent scheduling method and system for concurrent requests of a multi-tenant cloud computer operation management platform, belongs to the technical field of AI intelligent application, and aims at solving the technical problem of how to overcome the defects of resource preemption and low service quality of the multi-tenant cloud computer platform in a high-concurrency scene. According to the technical scheme, the resource utilization efficiency and the service quality guarantee capability of a multi-tenant cloud computer platform are improved, and the method comprises the steps of tenant behavior intelligent analysis: collecting related original data of each tenant in real time, constructing a tenant portrait model, and achieving multi-dimensional priority dynamic evaluation; resource demand time sequence prediction: predicting resource demands of a CPU, a GPU and a memory in a set period through a Prophet prediction model in combination with historical data and a real-time load, establishing a resource demand early warning mechanism, and performing resource pre-allocation in advance; an elastic resource allocation strategy is established, resource sufficiency and shortage scenes are distinguished, dynamic resource quota adjustment is achieved, and response time is shortened; and abnormal behaviors are monitored in real time and rapidly isolated.

A computer platform for securely performing an electronic purchase transaction, including: a user interface for receiving payment card data; a token generator configured for generating a payment card token corresponding to the payment card data; a passkey generator; a cryptographic binding system configured for cryptographically binding the payment card token to the passkey; and a payment processing system configured for sending the payment card data to a merchant after the user has used the passkey to unlock the payment card data in the payment card token.

A process includes receiving credentials associated with a request to access a computer platform. The credentials include a password and a user identification. The process includes determining a key handle and a reference cryptographic digest corresponding to the user identification. The process includes determining a second cryptographic digest corresponding to the user identification. Determining the second cryptographic digest includes providing the key handle and the password to a security processor of the computer platform and initiating an operation by the security processor to apply a keyed-hashing function to the password based on a cryptographic key corresponding to the key handle to provide the second cryptographic digest. The security processor stores the cryptographic key. The process includes regulating access to the computer platform based on a comparison of the second cryptographic digest to the reference cryptographic digest.

Methods provide computer-navigation assisted total hip arthroplasty (THA) procedures. Such procedures include the use of a navigated instrument, e.g., a navigated reamer construct or a navigated inserter construct to prepare the acetabulum and insert an acetabular shell, a camera tracking system adapted to track a pose of the navigated inserter or reamer construct relative to the patient in use, and a computer platform adapted to receive pose tracking information and generate and display navigational guidance for the user.

A computer platform is provided for computer assisted navigation during surgery. The computer platform includes at least one processor that is operative to transform pre-operative images of a patient obtained from a first imaging modality to an estimate of the pre-operative images of the patient in a second imaging modality that is different than the first imaging modality. The at least one processor is further operative to register the estimate of the pre-operative images of the patient in the second imaging modality to intra-operative navigable images or data of the patient.

Systems and methods for mathematical modeling of the hardware and software stack of commodity computer platforms are provided, enabling provable guarantees on memory, device, and program execution. This approach addresses the technical problem of reliance on system agents that rely on implicit trust in the operating environment, which can be exploited by sophisticated attackers using complex threats such as memory access exploits and code / data integrity exploits. The solution provides a proactive, mathematically-backed security solution that eliminates entire classes of cyberattacks by design, ensuring realizable guarantees on commodity computer platforms running hardware and software stack elements at the lowest operating level. This approach has significant advantages over current reactive cybersecurity methods, including reduced complexity and overhead, and increased confidence in the integrity of the system. The solution's main uses include providing mathematically-backed security and availability guarantees for critical infrastructure, financial institutions, and other organizations vulnerable to cyberattacks.

Apparatus, system and method may control verifying timestamp synchronization at input ports of a timestamp circuit, and verifying timestamp synchronization among timestamp circuits of a distribution system while the distribution system operates to distribute data items received from client computing devices. The distribution system may distribute the data items in chronological order, based on times of receipt of the data items, and accounting for network latencies in transmission of the data items to the distribution system and synchronization offsets respectively of input ports of each timestamp circuit of the distribution system.

The invention provides a cloud desktop operation anomaly detection method, electronic equipment and a storage medium. The method comprises the following steps: creating a target session identifier representing a current cloud desktop operation process; and collecting running state data in the running process of the cloud desktop. And binding the acquired operation state data with the target session identifier, and then sending the bound operation state data to a cloud computer platform, so that the cloud computer platform can match all the operation state numbers in the current cloud desktop operation process based on the target session identifier. And determining a full-link flow of the cloud desktop operation process based on all the matched operation state numbers so as to perform anomaly detection. According to the method and the device, the full-link flow of the cloud desktop operated by the client equipment can be sensed, so that the operation abnormity of the cloud desktop can be actively tracked and detected, and the subsequent abnormity processing efficiency is further improved.

Title: Access control system The invention relates to an access control system, of the type implementing: an entrance intercom (1) of a building comprising dwellings (L); at least one resident's mobile phone (2), integrating a resident digital application (20) including a unique registration number (200); a computer platform (3) comprising a computer unit (30) configured to connect the entrance intercom (1) with the resident's mobile phone (2) via the resident digital application (20);characterized in that it comprises, within each dwelling (L), a device (4) presenting a unique dwelling identifier (40) capable of being read by the smartphone (2), the computer platform (3) including a database (31) listing the dwellings (L) and their unique dwelling identifier (40), and in that the computer unit (30) of the computer platform (3) is configured to receive, via the entrance intercom (1), a request to be put in contact with a resident and to send, to the smartphone (2) of the resident identified by the unique registration number (200), a call notification. Figure for the abbreviation: Fig. 1;

The invention discloses an excitation system fault detection method, system and device and a medium, and relates to the technical field of computer platform load balancing, and the method comprises the steps: obtaining a multivariable time sequence signal of an excitation system, and carrying out the preprocessing of the multivariable time sequence signal, and obtaining a time sequence data sequence; constructing a periodic sensing dynamic graph structure through the preprocessed time sequence data sequence; according to the dynamic graph adjacency matrix and the node feature matrix in the periodic perception dynamic graph structure, designing a periodic perception graph convolution algorithm by adopting an adaptive graph convolution method; a fault sensitive node embedding mechanism is introduced, and an overall graph-level representation vector is generated based on the node embedding mechanism. According to the method provided by the invention, the dynamic graph structure of cycle perception is constructed, so that the flexible expression of the complex incidence relation among the multi-variable signals of the excitation system is realized, the specific cycle characteristics of the excitation signals are effectively captured, and the characteristic extraction capability of the multiple signals is greatly improved.

The invention discloses a hardware acceleration deployment method of an ultrasonic full-focus algorithm on an FPGA (Field Programmable Gate Array) platform, and relates to the technical field of deployment of an acoustic imaging algorithm on the FPGA platform, a master-slave structure taking the FPGA platform as a master controller is adopted, and a plurality of FPGA slaves are controlled to collect and calculate parameters in parallel through channel gating; a full-focus parameter calculation process is modularly divided, the calculation throughput rate is improved through a pipeline method, and calculation results of the multiple FPGA slaves are transmitted to the FPGA host for imaging; furthermore, a mirror image full-focus calculation method is adopted, parameter multiplexing is achieved through a recombination calculation process, and the parameter calculation time is shortened by half. The problems that an ultrasonic full-focusing imaging algorithm is complex in calculation, long in time consumption and difficult to deploy in a lower computer platform can be solved, development of a low-cost and light-weight ultrasonic phased array full-focusing online detection instrument is facilitated, and the method has important significance on maintenance and health monitoring of a pressure container.

A procedure that includes the following: Communicating a first tenant from a plurality of tenants with a security processor (160) of a computer platform (100) via a first physical request interface (822) of the security processor (160) to acquire ownership of a first instruction execution machine (826) of the security processor (160) connected to the first physical request interface (822); Communicating a second tenant from the plurality of tenants with the security processor (160) via a second physical request interface (824) of the security processor (160) to acquire ownership of a second instruction execution machine (828) of the security processor (160) connected to the second physical request interface (824); Receiving with the security processor (160) a first request (808) from the first tenant in the first physical request interface (822); Receiving with the security processor (160) a second request (816) from the second tenant in the second physical request interface (824); and Processing the first request (808) with the first instruction execution engine (826) and processing the second request (816) with the second instruction execution engine (826) to perform appropriate trusted computational operations.

The application discloses a kind of intelligent campus-oriented electromechanical installation management method and system, it is related to computer platform load balancing technical field, including constructing electromechanical installation object basis set and object level installation constraint set.Further generate electromechanical installation task, task branch regulation is executed in combination with construction state data, form three kinds of tasks of executable, to be made up and collaborative adjustment.For executable task, installation process data is collected, object level installation process record is constructed, object level installation verification and abnormal disposal path regulation are executed, and object level installation closed loop result is formed.Based on installation closed loop result, systematized debugging, acceptance collection, file construction and constraint update processing are implemented, and constraint optimization result is formed.The method described in the application realizes the fine flow of intelligent campus electromechanical installation task, abnormal closed loop disposal and result feedback optimization, significantly improves the accuracy, cooperativity and traceability of installation management.

The present invention is a computer system for creating fractal spider graphs which display data in a nested structure. The present invention includes a data store, a data analytics engines, and a computer platform for data visualization. The present invention analyzes both qualitative and quantitative data to determine a pattern of behavior based on the data. The data is then broken down into key performance indicator (KPI) units using NLP and machine learning. These KPI units are then used as the atomic unit for constructing the fractal spider graphs. The fractal spider graphs of the present invention are hierarchical, nested spider graphs which simultaneously display information and analysis from multiple levels of an organizational hierarchy. Further, the present invention is operable to generate inferences (i.e., decision outputs) based on the data, wherein the inferences are displayed as prioritized action lists, weighted confidence scores, risk-impact indices, and / or narrative recommendations.

The invention relates to the field of unmanned aerial vehicle system testing, and discloses an unmanned aerial vehicle flight management system digital virtual prototype and a design and simulation method thereof. The flight management system digital virtual prototype is a virtual prototype capable of being deployed in a redundancy mode and comprises an interface module, a redundancy module, a control law module, a guidance law module, a task execution module and a synchronization module. The interface module is used for integrating all external interfaces involved in physical flight management computer platform equipment management to complete external interaction of signals; the redundancy module, the control law module and the guidance law module are used for respectively completing the transplantation of redundancy management, a control law algorithm and a guidance law algorithm in the real object flight management computer, and interacting with the interface module; the task execution module completes transplantation of Bit linkage logic and task scheduling related algorithms of a real object flight management computer and realizes periodic operation of a virtual prototype; and the synchronization module is used for simulating hardware to provide accurate clock signals and ensuring the synchronism among the virtual prototypes.

A technique includes configuring, by a storage mesh controller, a plurality of computer platforms to associate the plurality of computer platforms with a software-defined storage mesh. The technique includes sharing storage among the plurality of computer platforms using the software-defined storage mesh. The sharing includes a first smart I / O peripheral of a first computer platform communicating with a second smart I / O peripheral of a second computer platform to share physical storage device of the second smart I / O peripheral with the first computer platform.

The invention relates to a rail transit safety computer platform based on a multi-core board card and a data processing method, and the computer platform comprises a communication gateway subsystem which is used for providing a unified access entrance; board cards form an N * 2oo2 cross-card multi-core redundancy framework through core cross combination; the redundancy architecture dynamic adaptation subsystem is used for collecting instructions in real time, generating a current scene and scene parameters and dynamically switching the operation mode of the cross-card multi-core redundancy architecture; the multi-application compatible subsystem supports simultaneous deployment of multiple applications on a platform and binds the applications with different 2oo2 cross redundant nodes; and the internal redundancy communication bus is respectively connected with the communication gateway subsystem, the MPU operation subsystem, the redundancy architecture dynamic adaptation subsystem and the multi-application compatible subsystem to realize internal communication. Compared with the prior art, cost optimization, performance improvement and multi-scene adaptation are realized.

The application discloses an intelligent frequency conversion dimming method and system, relates to the technical field of computer platform load balancing, and comprises the following steps: communication is established between a module and a gateway, a frequency mapping table, a duty cycle segmentation point, a safety threshold and a disabled frequency point table are loaded, and an initialization vector is generated in combination with driver and lamp parameters; current, voltage and optical brightness data are collected at typical brightness points to form a matrix, a risk value is calculated and a critical point is marked, a three-segment frequency mapping is generated in combination with the segmentation point and is corrected through interpolation; a PWM signal is generated according to the mapping table and a brightness instruction, the PWM signal is output after being subjected to slope limiting, edge shaping and micro-jitter frequency processing, and the frequency is corrected in a closed loop under real-time sampling. According to the method, multi-source data are collected, a stroboscopic risk model is introduced, critical point identification and three-segment frequency mapping are realized, interpolation and disabled frequency point constraints are combined to ensure frequency continuity and stability, and a PWM signal is generated and optimized, so that adaptive dimming is realized in a full brightness range.

Disclosed techniques include cybersecurity operations center load balancing. A cybersecurity security operations center (SOC) caseload history is accessed. Triage results from the SOC caseload history are analyzed on a computer platform to produce an analyst threat response profile. The analyst threat response profile is augmented with threat response resolution metrics. The threat response resolution metrics are updated with a subjective rating. The subjective rating is supplied by management, peers, or machine learning. Notification of a new cybersecurity threat is received across a cybersecurity network by the SOC. The new cybersecurity threat is assigned to a specific analyst, based on the augmented analyst threat response profile. The assigning is further based on weighting of threat severity, threat complexity, and analyst availability. An existing SOC caseload is reassigned to increase availability of the specific analyst.

The present invention is a computer system for creating fractal spider graphs which display data in a nested structure. The present invention includes a data store, a data analytics engines, and a computer platform for data visualization. The present invention analyzes both qualitative and quantitative data to determine a pattern of behavior based on the data. The data is then broken down into key performance indicator (KPI) units using NLP and machine learning. These KPI units are then used as the atomic unit for constructing the fractal spider graphs. The fractal spider graphs of the present invention are hierarchical, nested spider graphs which simultaneously display information and analysis from multiple levels of an organizational hierarchy.

The present application discloses a hardware-in-the-loop (HIL) test method and system for a protective device in the technical field of load balancing of computer platforms, and it comprises the following: creating a simulation scenario within an HIL simulation test system; determining the minimum sampling signal required for the normal operation of the protective device under test based on the installation location of the protective device under test in the simulation scenario and creating a current transformer model capable of reproducing a transient saturation scenario; switching on the protective device under test and outputting an electrical signal through the HIL simulation test system;and simulating a fault scenario in the simulation scenario after receiving correct sample values ​​from the protective device, and determining, based on the current signal calculated by the model with the transient saturation properties and the logic check of the protective device, whether the tripping result corresponds to the set value and the tripping logic. The HIL test procedure for a protective device provided in the present application reproduces the actual current under non-ideal fault conditions and thoroughly tests the operating characteristics of the power plant's relay protection device.