Abstract: A method of event-based distribution of a cryptographic digital asset includes receiving, from a computing device associated with a user, an indication that the computing device is located at a predetermined venue within a predetermined window of time; receiving a unique owner identification (ID) code associated with the user; receiving a unique code acquired by the user; determining a unique digital asset ID code corresponding to the received unique code, the unique digital asset ID code being representative of the cryptographic digital asset; and transmitting a cryptographic block to a distributed blockchain ledger to record transfer of the cryptographic digital asset to the user, the cryptographic block comprising both the unique digital asset ID code and the unique owner ID code.

Abstract: A method is disclosed to extract meta-data held in a weld scan data file and from such data determine whether the testing data is acceptable for review. A series of configuration parameters held in the scan data file are analyzed for inconsistencies and a select set of parameters are reviewed for codes and industry accepted standards compliance with recorded scan data. Additional qualitative tests may be implemented on the scan test file and unacceptable results may also provide guidance to the weld inspector as to whether continued review of the scan data file is worthwhile. Such consistency testing avoids wasteful activities reviewing a flawed weld scan data file and provides signals to operators to avoid the processing of such a file by weld scan analysis software when such processing will not result in successful assistance to a weld inspector.

Abstract: A method of monetization of the processing of a collection of ultrasonic data files is disclosed. The process accesses each scan data file and reads meta-data held by that scan data file. Responsive to the extant meta-data, a pricing model is applied, and a processing cost calculated for the processing of each data file. That pricing information is then associated with a customer account and invoiced at a time of choosing of the processing company. Various pricing models may be applied responsive to the characteristics of the data file processed, and responsive to the timeliness and priority of such processing.

Abstract: Embodiments for building domain models from dialog interactions by a processor. A domain knowledge may be elicited from one or more dialog interactions with one or more users according to one or more dialog strategies. One or more domain models may be built and/or enhanced according to the domain knowledge.

Abstract: A process is disclosed in which a computing device reads electronic data from an ultrasonic scanning probe and processes that data in real time to determine if any potential weld defects are encountered as the probe head moves along scanning the weld. The method receives weld scan data in the form of scanning slices and determines if any of the encountered indications match a predetermined criterion. The process utilizes a moving scan data window of scan slices and processes each window for indications of weld defects. The processing of the data window is optimized using a rule-based, indications counting set so that any found defect indications triggers the issuance of a signal to an operator, in various forms, such as activating a marking module, issuing an alert signal, or printing a report.

Abstract: For each unique pair of a complete set of data items, a computing device determines a distance between the data items of the unique pair. The computing device repeats the following until no data items remain in the complete set. For each data item remaining in the complete set, the computing device determines a similarity subset including each other data item that the distance between the data item and the other data item is less than a target difference threshold. The computing device moves a selected data item from a largest similarity subset to a reference database that is a subset of the complete set. The computing device removes each data item from the complete set that the distance between the selected data item and the data item is less than the threshold. A new data item can be classified using the reference database.

Abstract: A large collection of sample genomes containing misclassified k-mers and metadata errors from a reference taxonomy was converted to a self-consistent k-mer database comprising a self-consistent taxonomy. The self-consistent taxonomy was based on genetic distances calculated using the MinHash method or the Meier-Koltoff method. An agglomerative clustering algorithm was used to calculate the self-consistent taxonomy. Each k-mer of the sample genomes was assigned to only one node of the self-consistent taxonomy. In another step, each node of the self-consistent taxonomy was mapped to the reference taxonomy, thereby preserving in the self-consistent taxonomy links to the reference taxonomy while correcting for the misclassification errors therein. The self-consistent k-mer database can be used to taxonomically profile sequenced nucleic acids with greater specificity compared to systems relying on the reference taxonomy.

Abstract: A system provides for the calculation of the penetration depth of a weld in an orthotropic steel decking system. Weld scan section data is accessed and each scan section along the weld seam is processed to find the amount of penetration as a percentage of the thickness of the rib leg metal at the weld location. The amount of penetration is calculated by finding ultrasonic reflections recorded as voxels that have the greatest magnitude within an area of contiguous magnitudes and then determining the location of those voxels relative to the weld geometry and distance along the thickness of the rib leg steel. A report for each section scan and the entire weld seam may be generated for review by a weld inspector that allows for spot inspections of specified areas along the weld seam for possible weld remediation.