155 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 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.

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.

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 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.

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.

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 a simulation training personalized recommendation analysis method, system and device and a medium, and relates to the technical field of computer platform load balancing, and the method comprises the steps: collecting user behavior data, carrying out the preprocessing, and carrying out the feature marking and grading of a user; quantizing user behavior characteristics by using a distributed machine learning platform, and dynamically adjusting user groups through a clustering algorithm; and generating personalized recommendation by adopting collaborative filtering and reinforcement learning algorithms, and dynamically adjusting task difficulty based on real-time feedback to optimize recommendation weight. According to the method, multi-dimensional behavior characteristics are clustered through a K-means + + clustering algorithm, and dynamic user grouping is realized in combination with a dynamic threshold adjustment mechanism; by designing a recommendation algorithm architecture, not only can the new user be ensured to quickly adapt, but also individuation and dynamic adaptation of the recommended content are realized, and the classification error rate is reduced.

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.

The invention discloses a remote deployment method and system of a railway safety computer platform, the safety computer platform is used as a client and is configured with a DHCP (Dynamic Host Configuration Protocol) protocol with a remote server, and the remote deployment method comprises the following steps: firstly, the client sends a broadcast request packet to the outside to search for the remote server; secondly, the far-end server obtains the broadcast request packet, analyzes the first secret key information from the broadcast request packet, and verifies the first secret key information; then, after the verification is passed, the far-end server allocates an IP to the client; then, the client configures an allocated IP, and performs key verification with the far-end server; and finally, after the secret key verification is passed, the far-end server side establishes communication connection with the client side, and automatically uploads corresponding configuration information to the corresponding client side. According to the method, the new configuration can be obtained from the remote server without field operation, and the remote configuration server of the railway security computer obtains the instruction to automatically search the corresponding site file from the site file pool for transmission.

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.

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.