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 for indexing objects in a computerized system having an index, comprising identifying in the computerized system an at least one indexed object that meets an at least one criterion related to contents of the at least one indexed object, detecting an at least one non-indexed object having a property similar to an at least one property of the at least one indexed object that was identified, and indexing the at least one non-indexed object in the index, wherein the method is performed by the computerized system, and an apparatus for performing the same.

Abstract: Systems and methods are disclosed for generating a distributed execution model with untrusted commands. The system can receive a query, and process the query to identify the untrusted commands. The system can use data associated with the untrusted command to identify one or more files associated with the untrusted command. Based on the files, the system can generate a data structure and include one or more identifiers associated with the data structure in the distributed execution model. The system can distribute the distributed execution model to one or more nodes in a distributed computing environment for execution.

Abstract: Queries are monitored in a database which receives input from a stream computing application to identify data of interest. Parameters defining the data of interest, which are preferably expressed as a logical query, are sent to the stream computing application, which then processes the in-flight streamed data satisfying the parameters in some special manner. In some embodiments, the stream computing application increases the processing priority of in-flight data satisfying the parameters. In some embodiments, the stream computing application applies additional processing steps to the in-flight data satisfying the parameters to provide enhanced data or metadata.

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: The overall architecture and details of a scalable video fingerprinting and identification system that is robust with respect to many classes of video distortions is described. In this system, a fingerprint for a piece of multimedia content is composed of a number of compact signatures, along with traversal hash signatures and associated metadata. Numerical descriptors are generated for features found in a multimedia clip, signatures are generated from these descriptors, and a reference signature database is constructed from these signatures. Query signatures are also generated for a query multimedia clip. These query signatures are searched against the reference database using a fast similarity search procedure, to produce a candidate list of matching signatures. This candidate list is further analyzed to find the most likely reference matches. Signature correlation is performed between the likely reference matches and the query clip to improve detection accuracy.

Abstract: An approach is provided for providing record-level sensitivity-based data storage in a networked computing environment. For each data record of a plurality of data records (e.g., rows) in a dataset, the record sensitivity is identified based on the data included in the data record, allowing different sensitivities to be identified for different records in the same dataset. A data center that has a data center sensitivity level that matches the record sensitivity is selected for the identified record sensitivity. Each data record is stored to a selected data center, with data records having different record sensitivities being stored in different data centers of different types, locations, etc.

Abstract: Personalized network searching, in which a search query is received from a user, and a request is received to personalize a search result. Responsive to the search query and the request to personalize the search result, a personalized search result is generated by searching a personalized search object. Responsive to the search query, a general search result is generated by searching the general search object. The personalized search result and the general search result are provided to a client device, an advertisement is selected based at least in part upon the personalized search object, and the advertisement, the personalized search result, and the general search result are displayed.

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: The invention relates to a method for a model-driven extraction of event data representing an event occurring on a blockchain network by a computational device with access to the blockchain network. The computational device is configured as an ETL-device for executing an ETL-code to modify a data content of an external data structure external of the blockchain network using the extracted event data. The method comprising detecting the event, determining an event schema, providing and executing a the ETL-code. The ETL-code comprises machine-executable instructions for extracting the event data representing the detected event, transforming the extracted event data using the event schema to comply with a data model defining a logical structure of the external data structure and loading the transformed data to the external data structure to modify the data content of the external data structure.

Abstract: The overall architecture and details of a scalable video fingerprinting and identification system that is robust with respect to many classes of video distortions is described. In this system, a fingerprint for a piece of multimedia content is composed of a number of compact signatures, along with traversal hash signatures and associated metadata. Numerical descriptors are generated for features found in a multimedia clip, signatures are generated from these descriptors, and a reference signature database is constructed from these signatures. Query signatures are also generated for a query multimedia clip. These query signatures are searched against the reference database using a fast similarity search procedure, to produce a candidate list of matching signatures. This candidate list is further analyzed to find the most likely reference matches. Signature correlation is performed between the likely reference matches and the query clip to improve detection accuracy.

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: Systems and methods for multi-directional visual browsing on an electronic device are described. In example embodiments, a primary result and a peripheral result are determined. A display layout based on attributes associated with the primary result and the peripheral result is generated. The display layout is then formatted into instructions, which will cause a device to render the display layout. The instructions are transmitted to the client device.

Abstract: This disclosure discloses systems, devices, and methods for parallelized data structure processing in context of machine learning and reverse proxy servers.

Abstract: In a data asset curating system including a processor, computer-readable medium and data storage storing source data assets, each source data asset including content data and source metadata, the data storage stores instructions causing the system to perform converting, based on a conversion rule defining a set of standard attributes, the source data assets to curatable data assets, each curatable data asset including the content data of the corresponding source data asset and curatable metadata, the curatable metadata including one or more standard attributes; causing a user device to render a GUI configured to provide filtering options for querying the curatable data assets; receiving, from the user device, a curation query including a set of the filtering options selected via the GUI; and identifying, from the curatable data assets, a set of the curatable data assets satisfying the received curation query.

Abstract: A computer-implemented method and computer processing system are provided. The method includes identifying, by a processor, atomic operations within a sequence of data elements and metadata associated with the atomic operations. The sequence of data elements is related to an interaction between a user and a user interface of a computer system that includes the processor. The method also includes calculating, by the processor, correlation indexes from the metadata. A respective correlation index is calculated for various atomic operation groups formed from the atomic operations. The method additionally includes identifying, by the processor, a macro operation from at least one of the correlation indexes. The macro operation includes multiple correlated atomic operations from among the atomic operations identified within the sequence.

Abstract: Personalized network searching, in which a search query is received from a user, and a request is received to personalize a search result. Responsive to the search query and the request to personalize the search result, a personalized search result is generated by searching a personalized search object. Responsive to the search query, a general search result is generated by searching the general search object. The personalized search result and the general search result are provided to a client device, an advertisement is selected based at least in part upon the personalized search object, and the advertisement, the personalized search result, and the general search result are displayed.

Abstract: A method for collecting, consolidating and processing data is provided. The method includes receiving, using at least one of said at least one processor, data via a plurality of data streams, aggregating, using at least one of said at least one processor, data received via the plurality of data streams, validating, using at least one of said at least one processor, the received data, and transforming, using at least one of said at least one processor, the received data into standardized data formats.

Abstract: A method for processing video data is performed by a data processing unit (DPU). The method includes obtaining, by the DPU of an edge device, video data; processing the video data to obtain video data chunks and video processing engine outcomes; generating storage tier metadata based on the video data chunks and the video processing engine outcomes; associating the storage tier metadata with the video data chunks; and storing the storage tier metadata and the video data chunks in the appropriate storage based on the storage tier metadata.

Abstract: Disclosed are examples of systems, apparatus, methods and computer program products for batch job processing using a database system. In some implementations, a data object relationship structure of a first record can be identified. Based on a type of data dependency of the data object relationship structure, a first record and a second record can be determined to be associated. A first batch number can be assigned to the first record and the second record. A first batch job can be defined. It can be determined that a third record is not associated with the first record. A second batch number can be assigned to the third record and a second batch job can be defined.