Abstract: A method, apparatus, and computer-readable medium for domain-specific execution of natural language queries, the method including receiving a natural language query comprising a plurality of query terms, identifying nouns in the plurality of query terms, querying an entity index based on the nouns to identify class entities corresponding to the nouns and class attributes corresponding to the class entities, generating structured query language (SQL) queries corresponding to the natural language query based on providing the class entities and the class attributes as context to a large language model (LLM), transforming the SQL queries into domain specific language (DSL) queries based on the SQL terms, additional terms semantically related to the SQL terms, and DSL mapping rules configured to map SQL to DSL, executing the DSL query on an enterprise data catalog to identify results corresponding to the natural language query, and transmitting the results in the user interface.

Abstract: A method, apparatus, and computer-readable medium for domain-specific execution of natural language queries, the method including receiving a natural language query comprising a plurality of query terms, identifying nouns in the plurality of query terms, querying an entity index based on the nouns to identify class entities corresponding to the nouns and class attributes corresponding to the class entities, generating structured query language (SQL) queries corresponding to the natural language query based on providing the class entities and the class attributes as context to a large language model (LLM), transforming the SQL queries into domain specific language (DSL) queries based on the SQL terms, additional terms semantically related to the SQL terms, and DSL mapping rules configured to map SQL to DSL, executing the DSL query on an enterprise data catalog to identify results corresponding to the natural language query, and transmitting the results in the user interface.

Abstract: A wireless parameter-sensing node in a network thereof, the parameter-sensing node includes: sensors to sample values of parameters, respectively; a memory; a collection engine configured to: selectively collect data representing at least some of the sampled values, respectively; and store the collected data in the memory; an omega engine configured to: retrieve selected portions of the collected data from the memory; and send the selected portions to a remote host; wherein at least one of the collection, the storage, the retrieval and the sending are performable according to one or more reconfigurable collection-control criteria, one or more reconfigurable storage-control criteria, one or more reconfigurable retrieval-control criteria and one or more reconfigurable reporting-control criteria, respectively, stored in the memory. The parameter-sensing node and the remote host relate, e.g., as a taskee-client and a taskor-server, respectively.

Abstract: Discretely-mobile parameter-sensing nodes, such as mobile phones, may be connected to a remote host. Each of the nodes is capable of sensing parametric values that are internal, and ambient to the node. The values may relate to atypical movement of a group of users, such as warfighters, that are associated with the nodes. Upon analysis of the atypical movement, the status (e.g., health) of a user associated with a node involved in such movement can be ascertained.

Abstract: A wireless parameter-sensing node in a network thereof, the parameter-sensing node includes: sensors to sample values of parameters, respectively; a memory; a collection engine configured to: selectively collect data representing at least some of the sampled values, respectively; and store the collected data in the memory; an omega engine configured to: retrieve selected portions of the collected data from the memory; and send the selected portions to a remote host; wherein at least one of the collection, the storage, the retrieval and the sending are performable according to one or more reconfigurable collection-control criteria, one or more reconfigurable storage-control criteria, one or more reconfigurable retrieval-control criteria and one or more reconfigurable reporting-control criteria, respectively, stored in the memory. The parameter-sensing node and the remote host relate, e.g., as a taskee-client and a taskor-server, respectively.

Abstract: A method (of operating a remote host in a network of discretely-mobile wireless parameter-sensing nodes (e.g., mobile phones), each node including sensors for sampling values of parameters that are at least one of internal to and ambient to the node, respectively, and circuitry to collect data representing the sampled values, respectively, and send the same to a remote host) includes: receiving the collected data from the discretely-mobile nodes, respectively; organizing the collected data into groups according to proximity of the corresponding nodes, respectively; determining group-specific ranges regarded as typical based on the collected data corresponding to the groups, respectively; recognizing, within the groups, respectively, if there are one or more nodes exhibiting atypical collected data; and adaptively instructing, within the groups, respectively, at least one of the nodes to execute one or more tasks that are responsive to the determination of atypical collected data.

Abstract: A method (of operating a mobile parameter-sensing node (e.g., a mobile phone) connectable wirelessly to a remote host (e.g., a base station or NIB)) includes: sampling values of parameters that are internal to and/or ambient to the node; selectively collecting data representing the sampled values according to a first subject list (defining which ones amongst the parameters will have data representative thereof collected) and/or a first frequencies-of-collection list (of collection frequencies at which the data are to be collected); analyzing, locally to the node, the collected data in terms of alarm criteria; and selectively collecting data according to a second subject list and/or a second frequencies-of-collection list when one or more of the alarm criteria are satisfied, the second subject list and the second frequencies-of-collection list being more inclusive than the first subject list and the second frequencies-of-collection list.