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Method for Implementing and Integrating Biometric Markers, Identification, Real-Time Transaction Monitoring with Fraud Detection and Anti-Money Laundering Predictive Modeling Systems

A method for implementing and integrating biometrical markers, identification, real-time transaction monitoring with fraud detection and anti-money laundering predictive modeling systems as the means of identifying, measuring, detecting and reporting the importance assigned to each member of a population of transactions coupled with images of participants whereby a relationship exists, or groups of relationships, by and between the transactions and the persons identified in the images and/or being affected by at least one suspicious activity factor, transaction or pattern. According to the method, an image is captured and attached to a financial transaction. An identifier is assigned to each member of the image population of persons making transactions for the benefit of one or more financial accounts. The image is cross-referenced against a cloud-based relational database of identified images, known associate persons per images and notations to purported activities and potential risk factors. The cloud-based relational database stores the shared information with subscribers cooperating in the uploading, updating and notating to the identifier record.

Apparatus and method for determining valid data during a merge in a computer cluster

A logical clock is provided that is incremented each time there is a membership change in a cluster of computer systems. The value of the logical clock is written as part of each data record created or modified by the cluster on behalf of a user. When a partition occurs, and a merge then follows the partition, a partition merge processing mechanism transmits a node list and data record headers (i.e., data records without their associated data) from a computer that was in the first partition to the computers that were in the second partition, and transmits a node list and data record headers from a computer that was in the second partition to the computers that were in the first partition. The partition merge processing mechanism then determines from the values of the logical clock in the data record headers and in the local data records where the most recent data resides. If data was updated in only one partition during the partition, the data is copied to the computers that were in the other partition. If data was updated in both partitions, the partition merge processing mechanism marks the conflicting data records. An application that sees conflicting data records can then take appropriate action, such as aborting or resetting the transactions that caused the independent updates. The preferred embodiments efficiently determine where valid data resides during a merge in a computer cluster, making it possible to avoid the costly overhead of maintaining and processing history logs.
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