Abstract: Embodiments of this application provide a cross-chain transaction method and apparatus. The cross-chain transaction method includes determining, by a first node, that a first transaction status of a first transaction is a first status, the first status indicating that consensus verification on the transaction succeeded, the first node maintaining a first blockchain and the first transaction belonging to the first blockchain. The method includes obtaining, by the first node, a second transaction status of a second transaction, a second node maintaining a second blockchain and the second transaction belonging to the second blockchain. The method includes modifying, by the first node, target data, the modifying being based on first transaction data of the first transaction when the second transaction status of the second transaction is the first status, the target data comprising data in a state machine of the first node, the target data being related to the first transaction.

Abstract: In example embodiments, computing systems may be configured to create, transmit, receive, store, and execute an active data executable comprising (i) a representation of given data content that is combined with (ii) an executable kernel that, when executed, causes the given data content to be extracted in a user-specified data format and provided to a user-specified destination location for storage.

Abstract: In general, a computer implemented system configured to receive and retrievably share property metadata associated with an identified property or resource metadata associated with an identified resource with a user or a user group. Specifically, a program code accessible by one or more computing devices to depict a user interface configured to allow entry of property metadata associated with a property identifier of a property and entry of resource metadata associated with a resource identifier of a resource associated with the property allowing a user or each of a group of users to expediently retrieve property metadata or resource metadata associated with a property including metadata associated with one or more default resources associated with a property including: a water shut off valve, a gas shut off valve, and a circuit breaker box.

Abstract: Embodiments are disclosed for using natural language processing (NLP) to manage security video data. A method of using NLP to search security video data includes receiving, by a surveillance video query system, a text query. A query embedding corresponding to the text query is obtained using a text query model. One or more matching frame embeddings that match the query embedding are identified in a vector database. Matching surveillance video data corresponding to the one or more matching frame embeddings is then obtained from a surveillance video data store. The matching surveillance video data is returned in response to receipt of the text query.

Abstract: Techniques and systems can process data of a dataset to determine when a portion of data is comprised in the data of the dataset. An output generated from processing the data of the dataset can be evaluated, where the output can signify that processing the data of the dataset was unable to locate the portion of data in the data of the dataset. Based on evaluating the output, the data of the dataset can be automatically reprocessed to determine the portion of data is in the data of the dataset. A result can then be generated from the portion of data determined to be in the data of the dataset.

Abstract: A computerized method is disclosed including establishing communicative couplings with each of a first data intake and query system instance and a second data intake and query system instance, automating execution of a first search query on the first data intake and query system instance and a second search query on the second data intake and query system instance, and causing rendering of a graphical user interface that consolidates results from each of the first data intake and query system instance and the second data intake and query system instance. Additional operations may include obtaining a result of the first search query while preserving fields within the results of the first and second search queries extracted by the first data intake and query system instance and the second data intake and query system instance, respectively.

Abstract: Embodiments of systems and methods for the rules based distribution of managed content across heterogeneous storage distributed in a network environment are disclosed. In particular, certain embodiments may employ entity rules in association with a content management system. An entity rule may be a rule specifying a set of parameters and a destination secondary storage location. When the entity rule is evaluated by the content system, a set of content managed by the content management system responsive to the rule may be determined using the parameters of the rule. Responsive content can be determined, for example, by searching the content of the content management system based on the parameters. Responsive content may be moved from the primary storage location of the content management system to the secondary storage location specified by the entity rule.

Abstract: In some embodiments, a method includes determining a position for a search query and a position for each audience record from multiple audience records in an embedding space. The method further includes receiving multiple device records, each associated with an audience record. The method further includes determining multiple keywords, each associated with an audience record and determining a position for each keyword in the embedding space. The method further includes calculating a first distance between the position of the search query in the embedding space and the position of each audience record in the embedding space. The method further includes calculating a second distance between the position of the search query in the embedding space and the position of each keyword in the embedding space. The method further includes ranking each audience record based on the first distance and the second distance.

Abstract: According to at least one embodiment, a method, computer system, and computer program product for model-driven extraction of event data by a computational device is provided. The present invention may include transforming event data of an event occurring on a blockchain network using an event schema to comply with a data model of an external data structure; mapping, based on the event schema and the data model, the event data to a logical structure of the external data structure; and loading the transformed event data to the external data structure to modify a data content of the external data structure based on the mapping.

Abstract: A central service provider manages a blockchain network that writes the cryptographic hash of each executed transaction in a block to the blockchain network. For each executed transaction, the central service provider generates and transmits a transaction receipt such that a party can verify that the transaction was appropriately executed. Additionally, a party can check that the party's records are correct by providing transaction data describing details of transactions recorded in the party's records to the central service provider. The central service provider verifies the party's records by comparing the transaction data in the party's records to the blocks of transaction records in the blockchain network. In some scenarios, the central service provider may identify or receive an identification of a discrepancy arising from one or more transactions. The central service provider can reconcile the identified discrepancy.

Abstract: Systems and methods are provided for enhancing text-based electronic communications. In one embodiment, a sending agent automatically, or upon request by a user, disambiguates identifiers and terms included in a communication internally or in collaboration with a remote device or server based on the identity and history of the sending or intended receiving device or user, the content or context of the communication and/or the sending or intended receiving device or user and automatically or at the request of the sender, appends, enhances or provides certain additional information related to the identifier or terms to the message in real time. This additional information is then included or referenced, but not necessarily initially displayed or communicated, in the communication. The integrated system also may include a receiving agent on the receiving device that can disambiguate the identifier or terms and provide additional information and services related to the identifier or terms in the communication.

Abstract: A model management system provides a centralized repository for storing and accessing models. The model management system receives an input to store a model object in a first model state generated based on a first set of known variables. The model management system generates a first file including a first set of functions defining the first model state and associates the first file with a model key identifying the model object. The model management system receives an input to store the model object in a second model state having been generated based on the first model state and a second set of known variables. The model management system generates a second file including a second set of functions defining the second model state and associates the second file with the model key. The model management system identifies available versions of the model object based on the model key.

Abstract: Database systems and methods are provided for data migration between source and target computing systems using a configurable transformation service. The configurable transformation service obtains transformation configuration metadata associated with the particular combination of source and target computing systems, obtains a subset of source data in accordance with the transformation configuration metadata and transforms the subset of source data from a format associated with the source computing system to an intermediate, platform-independent format. The service transforms the subset of source data from the intermediate format to a destination format associated with the target computing system in accordance with the transformation configuration metadata and maintains the transformed subset of source data in the destination format in association with the target computing system.

Abstract: Creating a model data set using a spreadsheet interface including generating the model data set using the spreadsheet interface and a first data source from a data warehouse, wherein the model data set is a reusable modeling layer comprising at least a portion of the first data source, and wherein generating the model data set comprises: creating a first worksheet using the spreadsheet interface and the first data source; receiving an indication that the first worksheet is a model data set; and generating model data set metadata for the first worksheet; and providing, as a second data source for a second worksheet, the model data set generated from the model data set metadata.

Abstract: Novel techniques are described for networked aggregation of distributed localized particulate air pollutant (LPAP) sensors. For example, a large number of sensors is distributed over a geographic region. Each sensor can detect local levels of one or more LPAPs, and can communicate the detected levels over one or more communications networks. A system can receive data samples for the LPAP levels from the sensors and can compute LPAP scores that are mapped to respective sub-regions of the geographic region. The computation can be a function of aggregating respective LPAP levels for at least those LPAP sensors in a particular sub-region of the geographic region, and also as a function of comparing the aggregation against an identified set of trigger thresholds for the LPAP of interest. In some cases, the computed and mapped LPAP scores can be output for display, for example, as a heat map, or the like.

Abstract: A plurality of data objects is generated from a data stream received for constructing a backup image. A stream size of the data stream is determined. For each multi-threaded put operation used to write a data object of the plurality of data objects to a cloud storage, a maximum number of threads is determined into which the data object can be separated into a number of parts for simultaneous transmission to the cloud storage. A part size of each part is determined. A number of multi-threaded put operations is determined for writing the plurality of data objects to the cloud storage based, at least in part, on the stream size, the maximum number of threads into which the data object can be separated, and the part size. The plurality of data objects is stored into the cloud storage using the number of multi-threaded put operations.

Abstract: An example operation includes one or more of obtaining, by a moving vehicle, a first data including one or more of at least one first video and at least one first image of a moving transport, analyzing the first data, by the moving vehicle, to determine an initial issue, querying, by the moving vehicle, a server for a second data based on the analyzing, wherein the second data is one or more of at least one second video and at least one second image of the moving transport at a previous time, verifying, by the moving vehicle, an issue exists based on a delta above a threshold between the first data and the second data, and sending, by the moving vehicle, the verified issue to the server.

Abstract: A method and apparatus for loading balancing among blockchain peers by using a probing transaction from a client node to identify a latency of each blockchain peer. The client node can then select which blockchain peers to use based on the identified latencies.

Abstract: Systems, methods, and non-transitory computer-readable media can obtain data form one or more data sources. The data from the one or more data sources can be processed into one or more data records. Each data record can include at least an identification, a data type, and data to be stored. The data records can be organized into a tree data structure. The tree data structure can be stored as an intermediate data layer in a data analysis platform.

Abstract: Systems, methods, and other embodiments associated with dynamic inclusion of custom columns into a logical model are described. In one embodiment, a method includes: accepting a mapping between a placeholder logical column of a static logical model and a custom physical column; generating an enriched dataset that combines a description of the custom physical column with values of the custom physical column; placing the enriched dataset into the placeholder logical column; and presenting the static logical model with the enriched dataset in the placeholder logical column.