Abstract: A network includes a first node. The first node includes a data import service container, a system status condition database, and a distribution service container. The data import service container includes a first open interface and is configured to receive and organize data from the first open interface. The system status condition database is connected to the data import service container and includes memory for storing the data received and organized by the data import service container. The distribution service container is connected to the system status condition database and includes a second open interface for connecting the first node to a distribution service container of a second node of the network. The distribution service container of the first node is configured to synchronize the system status condition database of the first node with a system status condition database of the second node.

Abstract: A system includes at least one memory configured to store multiple free-form text-based descriptions comprising descriptions of upcoming travels by multiple users. The system also includes at least one processor coupled to the at least one memory. The at least one processor is configured to perform natural language processing to generate vectors representing the free-form text-based descriptions in a feature space. The at least one processor is also configured to identify similarities between multiple pairs of the vectors in the feature space. The at least one processor is further configured to identify at least two of the free-form text-based descriptions as being related based on the identified similarities. In addition, the at least one processor is configured to generate an output indicating that the at least two free-form text-based descriptions are associated with related travels by at least two users.

Abstract: A method includes obtaining information associated with a database model, where the information includes configuration parameters of a database defined by the database model. The method also includes obtaining information defining data objects associated with an application, where the data objects are to be used by the application to access the database. The method further includes identifying one or more discrepancies between at least one of the data objects and the configuration parameters of the database. In addition, the method includes modifying the at least one data object to conform the application to a current configuration of the database.

Abstract: A method includes analyzing testing capabilities information associated with multiple pieces of testing equipment by performing a first natural language processing (NLP) operation to identify capabilities of the testing equipment during hardware testing. The method also includes analyzing testing requirements information associated with a design of a hardware device by performing a second NLP operation to identify characteristics of testing requirements to be used to test the hardware device. The method further includes identifying at least one gap between the testing requirements to be used to test the hardware device and the capabilities of the testing equipment. In addition, the method includes generating a graphical user interface identifying the at least one gap.

Abstract: A method includes obtaining information associated with a database model, where the information includes configuration parameters of a database defined by the database model. The method also includes obtaining information defining data objects associated with an application, where the data objects are to be used by the application to access the database. The method further includes identifying one or more discrepancies between at least one of the data objects and the configuration parameters of the database. In addition, the method includes modifying the at least one data object to conform the application to a current configuration of the database.

Abstract: A system includes at least one memory configured to store multiple free-form text-based descriptions comprising descriptions of upcoming travels by multiple users. The system also includes at least one processor coupled to the at least one memory. The at least one processor is configured to perform natural language processing to generate vectors representing the free-form text-based descriptions in a feature space. The at least one processor is also configured to identify similarities between multiple pairs of the vectors in the feature space. The at least one processor is further configured to identify at least two of the free-form text-based descriptions as being related based on the identified similarities. In addition, the at least one processor is configured to generate an output indicating that the at least two free-form text-based descriptions are associated with related travels by at least two users.

Abstract: A system and method textually analyze documents. A frequency distribution is generated for the documents, and an intersection between the documents is determined. For each word in the intersection, the frequency of the word in the first document is compared with the frequency of the word in the second document, and the lower frequency is selected. A similarity measure between the first document and the second document is determined as a function of a count of the words in the intersection, a count of the words in the second document, the selected lower frequencies, and the frequency distribution for the words in the second document.