Abstract:
An example apparatus may include a processor and a memory device including computer program code. The memory device and the computer program code may, with the processor, cause the apparatus to provide modified serialization codes for a first entity in a serialization flow to replace existing serialization codes for the first entity. In various examples, the modified serialization codes may have a representation of at least two different characters, and a number of instances of one of the characters in the representation of the modified serialization codes may be different from a number of instances of the one of the characters in the representation of the existing serialization codes. The memory device and the computer program code may further cause the apparatus to receive serialization codes from a second entity, the second entity being downstream in the serialization flow from the first entity; compare serialization codes from the second entity with the modified serialization codes; and verify the serialization codes from the second entity by determining if the serialization codes from the second entity are compatible with the modified serialization codes.
Abstract:
Examples herein disclose multiple engines to produce output representative of a summary of document produced by each of the multiple engines. The examples apply a weighting mechanism to the output specific to that engine to obtain a value corresponding to that output. The examples identify specialized language if the value corresponding to that output reaches at least a particular threshold.
Abstract:
In example implementations, a plurality of re-structured version of texts is generated for each one of a plurality of different documents by applying a plurality of text summarization methods to each one of the plurality of different documents. An effectiveness score is calculated for each one of the plurality of text summarization methods to determine the text summarization method with the highest effectiveness score for an application. The plurality of re-structured versions of text for each one of the plurality of different documents that is generated by the text summarization method that has the highest effectiveness score is stored to be used in the application.
Abstract:
Systems and methods for adapting an incremental information object (IIO) to accommodate a change in a workflow are provided. A method includes analyzing an IIO, wherein the IIO comprises a plurality of tiles, and wherein the plurality of tiles comprise a code. The code is confirmed and, if the confirmation is successful, a determination is made as to whether the workflow has changed. If the workflow has changed the IIO is modified to change the information density of the IIO, a new code comprising a bitstream is generated, and the bitstream is overwritten on the plurality of tiles.
Abstract:
Examples disclosed herein relate to item identifier assignment. For example, a processor may create a mass serialization scheme to provide a first of item identifiers to allow a subset of the identifiers to be knocked out. Each item identifier may associated with multiple containers, and each container may include two item identifiers relating to the sequence of item identifiers included within the container.
Abstract:
One example is a system including a plurality of summarization engines, an evaluator, and a selector. Each of the plurality of summarization engines receives content to provide a summary of the content. The evaluator determines a value of each summary for a selected task. The selector selects a summarization engine for the selected task based on the assessed value of each summary.
Abstract:
A method and apparatus for encoding, in a simultaneous multiple security application, independently encrypted security data elements within a single matrix of blocks in a progressive barcode. The method and apparatus including, encoding information of a first data element within the matrix using black modules and, encoding information of a second data element within the matrix using color modules. The barcode being configured to be overprinted as it progresses through progressive states. The progressive barcode, resulting from the overprinting through the progressive states, masking the ability to conclusively determine the barcode in a previous state.
Abstract:
Systems and methods for adapting an incremental information object (IIO) to accommodate a change in a workflow are provided. A method includes analyzing an IIO, wherein the IIO comprises a plurality of tiles, and wherein the plurality of tiles comprise a code. The code is confirmed and, if the confirmation is successful, a determination is made as to whether the workflow has changed. If the workflow has changed the IIO is modified to change the information density of the IIO, a new code comprising a bitstream is generated, and the bitstream is overwritten on the plurality of tiles.
Abstract:
Examples herein disclose multiple engines to produce output representative of a summary of document produced by each of the multiple engines. The examples apply a weighting mechanism to the output specific to that engine to obtain a value corresponding to that output. The examples identify specialized language if the value corresponding to that output reaches at least a particular threshold.
Abstract:
Personalized learning based on functional summarization is disclosed. One example is a system including a content processor, a plurality of summarization engines, at least one meta-algorithmic pattern, an evaluator, and a selector. The content processor provides course material to be learned, the course material selected from a corpus of educational content, and identifies retained material indicative of a portion of the course material retained by user. Each of the plurality of summarization engines provides a differential summary indicative of differences between the course material and the retained material. The at least one meta-algorithmic pattern is applied to at least two differential summaries to provide a meta-summary using the at least two differential summaries. The evaluator determines a value of each differential summary and meta-summary. The selector selects a meta-algorithmic pattern or a summarization engine that provides the meta-summary or differential summary, respectively, having the highest assessed value.