207 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 computer platform for generating a video includes one or more memories to store instructions and one or more processors to execute the instructions to perform operations, the operations including: receiving a query from a user relating to a location; in response to receiving the query, generating conditioning parameters based at least in part on the query, wherein the conditioning parameters provide values for one or more conditions associated with a scene to be rendered at the location; generating, using a generative machine-learned model, the video, wherein the video depicts the scene at the location and with the values for the one or more conditions; and providing the video for presentation to the user.

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.

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.

The invention discloses an intelligent construction site safety evaluation method and system based on data elements, and relates to the technical field of computer platform load balancing, and the method comprises the steps: collecting construction site multi-source heterogeneous data, and carrying out the preprocessing of the construction site multi-source heterogeneous data; constructing a safety evaluation model of time sequence modeling and graph structure fusion through combination of a long short-term memory network and a graph neural network, performing feature selection and dimension compression operation on the processed multi-source heterogeneous data of the construction site to obtain an input feature tensor, and inputting the input feature tensor into the safety evaluation model; and calculating a comprehensive score according to a model output result, and generating a classification result and data feedback through an edge node. According to the intelligent construction site safety evaluation method based on the data elements provided by the invention, combined modeling of time sequence dependence and space association is realized through a deep modeling structure fusing LSTM and GNN, and the risk identification precision under multi-source heterogeneous data is effectively improved.

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.

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.

A system for computer assisted navigation during surgery includes computer platform that operates to identify a set of locations at which a navigated instrument is palpitating a landmark defined on a surface of a pelvic bone of a patient. Further operations determine a center of rotation for a pelvic acetabulum of the patient based on the identified set of locations at which the navigated instrument is palpitating the landmark. Operations determine an orientation of an anterior pelvic plane (APP) and / or a functional pelvic plane (FPP) of the patient based on the identified set of locations at which the navigated instrument is palpitating the landmark and based on the determined center of rotation for the pelvic acetabulum.

The invention discloses an anti-collision detection method, system, equipment and medium for hoisting machinery, and relates to the technical field of computer platform load balancing, and the method comprises the following steps: collecting multi-modal data of the hoisting machinery, and preprocessing the multi-modal data; fusing the collected multi-modal data through Kalman filtering, constructing an LSTM-GRU prediction model, and inputting the fused data into the LSTM-GRU prediction model to predict the moving trajectory of the hoisting machinery; and according to the trajectory prediction result, an anti-collision control instruction is dynamically generated through the AI edge computing device, and the PLC receives and executes the anti-collision control instruction. According to the method, on the basis of multi-modal data fusion, the crane operation state sensing precision is improved, on the basis of LSTM-GRU trajectory prediction, accurate future trajectory calculation is achieved, on the basis of AI edge calculation equipment, dynamic anti-collision control is achieved, and the intelligent level of anti-collision detection is effectively improved.

The invention discloses an intelligent variable-frequency dimming method and system, and relates to the technical field of computer platform load balancing, and the method comprises the steps: establishing communication between a module and a gateway, loading a frequency mapping table, a duty ratio segmentation point, a safety threshold and a forbidden frequency point table, and generating an initialization vector in combination with parameters of a driver and a lamp; collecting current, voltage and optical brightness data at typical brightness points to form a matrix, calculating a risk value and marking a critical point, generating three-section type frequency mapping by combining segmentation points, and performing interpolation correction; and receiving a brightness instruction according to the mapping table to generate a PWM signal, performing slope limiting, edge shaping and micro-jitter frequency processing and outputting, and performing closed-loop frequency correction under real-time sampling. According to the method, by collecting multi-source data and introducing a stroboscopic risk model, critical point identification and three-section type frequency mapping are realized, and frequency continuity and stability are ensured by combining interpolation and forbidden frequency point constraint; on the basis, a PWM signal is generated and optimized, so that self-adaptive dimming is realized in a full-brightness interval.

The invention discloses a load simulation loading system based on an engineering mechanical power system and a control method thereof, and relates to the technical field of mechanical power system simulation. The load simulation loading system comprises an engineering machinery power system, a load loading system, a whole vehicle control unit and an upper computer platform. The engineering machinery power system comprises a first oil tank, a main pump, a pilot pump, a pilot control handle, a signal control valve and a multi-way valve. The load loading system comprises a three-position four-way reversing valve, a proportional overflow valve, a first proportional throttle valve, a second proportional throttle valve, an electromagnetic valve, a third proportional throttle valve and a variable pump, wherein the three-position four-way reversing valve, the proportional overflow valve and the first proportional throttle valve are connected to the multi-way valve, the second proportional throttle valve and the electromagnetic valve are connected to an outlet of the proportional overflow valve, and the third proportional throttle valve is connected between the second proportional throttle valve and the second oil tank. And the three-position four-way reversing valve is constructed to enable an inlet of the proportional overflow valve to be communicated with one of the oil port A and the oil port B of the multi-way valve in a switching manner, and an outlet of the proportional overflow valve to be communicated with the other one of the oil port A and the oil port B in a switching manner.

Systems and methods involving a hub platform, communication network, and memory configured for processing data involving time-stamped / time-sensitive aspects and other features are disclosed. In one example, an illustrative system may comprise a hub computer platform and associated computing components configured to generate a plurality of portals including at least first and second portals, including aspects such as automatically updating information displayed therein in real-time between portals, automatically attaching and / or processing timestamps and identifier information that are attached to orders upon receipt and acceptance thereof, automatically generating and / or processing order book data, generating, updating and / or interactively displaying various tabular and / or graphical information such as order information that is automatically processed based on timestamps and / or other inputs and data, and / or generating other GUI features that, for example, may graphically display and automatically update level-of-involvement information.

The invention relates to the technical field of computer platform load balancing, and discloses a comprehensive risk monitoring method and system for a transformer substation, and the method comprises the steps: collecting first feature data of target equipment; performing anomaly detection on the first feature data, and triggering a dynamic acquisition mechanism according to an anomaly detection result to obtain supplementary data; and constructing an anomaly evaluation model based on the first feature information and the supplementary data, performing quantitative evaluation on the target equipment, and outputting a risk monitoring report. According to the method, feature data of target equipment are collected in real time, anomaly detection is carried out, a dynamic collection strategy is triggered based on a detection result, and supplementary collection is carried out on appearance and environment data of the target equipment. The dynamic acquisition strategy adjusts the acquisition priority and frequency in real time according to the risk level, so that the acquired data is more accurate and targeted, the comprehensiveness and timeliness of equipment state monitoring are ensured, and the accuracy of risk assessment and the efficiency and safety of substation operation and maintenance are improved.

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.

A process includes, responsive to a computer platform being controlled by an operating system installation service that is remote with respect to the computer platform, retrieving, by the computer platform, an agent image, and booting, by the computer platform, to the agent image to launch a local agent that is executed on the computer platform. The process includes assisting, by the local agent, an installation of an operating system on the computer platform. The assisting includes accessing, by the local agent, an operating system installation image and generating an answer file to configure installation of the operating system using the operating system installation image.

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.

Embodiments of the present disclosure relate to password authentication using an authentication record based on a cryptographic key handle. A process includes receiving credentials associated with a request to access a computer platform. The credential includes 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 secure processor of the computer platform, and initiating an operation of the secure processor to apply a key hash function to the password based on a cryptographic key corresponding to the key handle to provide the second cryptographic digest. The secure processor stores a 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.

The invention discloses a monitoring management method and system based on a wind power plant, and relates to the technical field of computer platform load balancing, and the method comprises the steps: installing a sensor, and collecting the operation data of the wind power plant; cleaning and filtering the data, and extracting state features by using a time-frequency domain analysis technology; establishing a baseline state model of the equipment in a normal operation period, and monitoring the operation condition of the wind power plant equipment; and in combination with a machine learning algorithm, predicting the remaining service life of the key part. According to the method, full space-time monitoring and intelligent analysis of the wind power plant operation data are realized, and the equipment operation efficiency and the overall reliability of the wind power plant are improved. The invention belongs to the field of monitoring and management of a wind power generation system, and provides an efficient and stable technical means for realizing intelligent operation of a wind power plant.

A senior living computer platform is provided, as well as systems and methods for using a senior living computer platform to facilitate senior engagement with their daily schedule and caregivers associated with the seniors, and coordinate care between caregivers. In particular, the present embodiments relate to enhanced communication techniques between a senior and their family / friends via a social networking application. For instance, “stories functionality” is provided within a social networking application running on the senior's mobile device that allows the senior to interact with their virtual care circle. The senior may “video answer” several life experience questions, and / or otherwise record video stories, memories, and / or life experiences for sharing with their family and friends within the social networking application.

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 computer platform allows a heterogenous supply of remote-controlled unmanned aerial vehicles to be dynamically maintained and used on-demand. A computer platform manages supply of and demand for drones, matches drones to users based on the supply and demand. Geofencing for each drone can be determined and applied to control flight. Alerts can activate drones to be directed to capture live streaming media from a location. A cryptocurrency enables economic incentives to be provided to users of the system. The computer platform can be used to identify and track unique organisms. The platform can use gamification by tracking user performance and comparing tracked performance among users or to specified goals. A click- to-focus operation allows camera and directional control for the drone.

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.

An IC manufacturing system including a manufacturing tool having a non-standard communication interface and / or protocol capability, wherein a computer platform of the manufacturing tool is configured with a capture engine operable to monitor operator interactions with the manufacturing tool for facilitating an automated electronic out-of-control action plan (eOCAP) scheme in conjunction with a network-hosted server platform.

Systems and methods of the present disclosure enable an electronic transaction platform that receives a request to begin the electronic communication session identifying a preferred instrument feature relating to the target financial instrument to be traded. The electronic transaction platform receive instrument feature data relating to characteristics of financial instruments available to trade, and clusters, using a clustering machine learning model, the financial instruments into instrument feature groups based on the characteristics. The target financial instrument is classified with the clustering machine learning model into one of the instrument feature groups based on the preferred instrument feature to identify similar financial instruments. A dealer user is identified to act as an intermediate entity in a transaction with the similar financial instruments and a graphical user interface is presented to the user with active links to connect to the dealer user for each similar financial instrument.

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.