In an approach to improve integration workflows by automatically generating convergent data mappings for branches in an integration workflow using a computer. A branch schema for each branch is generated, wherein the branch schema represents the union of all the individual node output schemas on the branch. A common output schema for a convergence point is generated, wherein the common output schema represents an intersection of all the branch schemas and generates branch mappings from each branch node to the common output schema.

Methods and systems for simplifying data collected from assets are provided. An example method involves receiving a set of simplified data at a server. The simplified set of data is generated by application of a dataset simplification algorithm on raw data obtained from a data source at an asset upon satisfaction of a data logging trigger, wherein the dataset simplification algorithm causes interpolation error within the simplified set of data to be limited by an upper bound that is fixed across the simplified set of data. The method further involves receiving a request for a status of the asset and interpolating a status of the asset based on the simplified set of data in response to the request.

Various embodiments of the present invention provide methods, apparatus, systems, computing devices, computing entities, and/or the like for performing predictive structural analysis on document data objects that are associated with an ontology graph. Certain embodiments of the present invention utilize systems, methods, and computer program products that perform predictive data analysis operations on document data objects that are associated with an ontology graph using document embeddings that are generated by graph-embedding-based paragraph vector machine learning models.

An inclination of a weighing apparatus is automatically detected by the apparatus itself while preventing an increase in the number of components. In order to achieve the object described above, a weighing apparatus includes a weight sensor, a built-in weight to be loaded on the weight sensor, an adding/removing unit for adding/removing the built-in weight, a memory storing a theoretical value of the built-in weight, and an arithmetic processing unit, wherein the arithmetic processing unit includes an inclination angle computing unit configured to obtain an apparatus inclination angle from an arc-cosine of a weighing value of the built-in weight and the theoretical value of the built-in weight.

The example embodiments are directed toward improvements in predicting an ideal audience size. In an embodiment, a method is disclosed comprising receiving a set of users associated with an object attribute; selecting samples from the set of users; computing hit rates for the samples, a respective hit rate in the hit rates computed by calculating a total number of users in a respective sample associated with an interaction associated with the object attribute; and selecting a recommended sample from the samples, the recommended sample comprising a sample having an associated hit rate that meets a preconfigured hit rate threshold.

Circuitry, systems, and methods are provided for an integrated circuit that includes digital filter circuitry. The digital filtering circuitry includes a first partial filter that includes a first number of taps corresponding to coefficients of a first bit depth and a second partial filter that includes a second number of taps corresponding to coefficients of a second bit depth.

A system for dynamically mitigating resonance in a transport refrigeration unit (TRU) during a mission, having: a TRU controller configured for operating a TRU engine during the mission according to an operational baseline, and while operating the TRU engine, contemporaneously performing steps including: obtaining a first set of data that comprises real time measurements from one or more accelerometers installed in the TRU; converting the real measurements to a second set of data that comprises real time shock and vibration data; processing the second set of data in a control loop to determine an updated operational baseline that avoids resonance detected in the first set of data; and operating the TRU engine according to the updated operational baseline.

The present application relates to systems and methods using biometric data of an individual for identifying the individual and/or verifying the identity of an individual. These systems and methods are useful for, amongst many applications, more secure identification of high-risk individuals attempting to gain access to an entity, transport, information, location, security organization, law enforcement organization, transaction, services, authorized status, and/or funds.

Systems and methods of the present disclosure facilitate synchronizing data between a device management system and ticketing systems. In some embodiments, the system includes an update module, a mapping module, and a service board selection module. The update module may be configured to update ticketing information about a ticketing ticket on the ticketing system to match device management information about a device management ticket on the device management system. The mapping module may be configured to select a ticket category for a device management ticket on the device management system responsive to the device management information about the device management ticket. The service board selection module may be configured to select a service board for a ticketing ticket on the ticketing system.

In an aspect, an apparatus for entity data aggregation is presented. An apparatus includes at least a processor and a memory communicatively connected to the at least a processor. A memory contains instructions configuring at least a processor to generate a web harvester. A web harvester is configured to extract entity data from an external database as a function of an extraction criterion. At least a processor is configured to classify extracted entity data to an entity data category. At least a processor is configured to aggregate extracted entity data into an entity profile as a function of an entity data category. At least a processor is configured to generate an entity search index as a function of aggregation of entity data.