Abstract:
Examples disclosed herein relate to recommending content segments based on annotations. In one implementation, a processor determines content segments based on user data related to annotations of the content. The processor recommends at least one of the content segments based on the relative value of the content segment to the other content segments. For example, the value of a content segment may be determined based on the annotations associated with the content segment.
Abstract:
A method for operating a mobile device. The method includes receiving a software application for the multifunctional document processing device by the mobile device, establishing a local connection with the mobile device to a multifunctional document processing device, and generating with the software application a service request by the mobile device, wherein the service request includes service request data. The method further includes transmitting the service request with the software application to the multifunctional document processing device and receiving, by the software application of the mobile device, return data in response to the service request from the multifunctional document processing device. The mobile device does not provide a location of the mobile device to a service provider of the mobile device.
Abstract:
One example includes a display device. The display device includes an electronic paper display imageable by receiving charges on an imaging surface of the electronic paper display. The display device includes an embedded chip to enable writing to the electronic paper display based on a successful authentication.
Abstract:
A callback, which may be assigned to a creation event of an application process, may be executed. In response to the execution of the callback, a data flow control object may be injected into the application process. The data flow control object may be to intercept a system call made by the application process and to control flow of data handled by the system call.
Abstract:
Matching of an input document to documents in a document collection is described herein. In an example, a similarity correspondence between an input document and one or more documents in a base document collection is established. A set of base document segments and a set of message types associated to document segments in the set of base document segments is provided. The set of base document segments is derived from documents in the base document collection. The input document is segmented into input document segments corresponding to message types. Segment similarity between input document segments and base document segments corresponding to the same message types is computed. The similarity correspondence between the input document and at least one document in the base document collection is based on the computed segment similarity.
Abstract:
An example method for forming a data-bearing medium in accordance with aspects of the present disclosure includes setting variables associated with the data-bearing medium, the variables comprising a bit length of a codeword, identifying a phase-invariant codeword based on the variables, and arranging rows of the data-bearing medium with the phase-invariant codewords.
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 receive serialization codes for a first entity in a serialization flow; compare serialization codes for the first entity to serialization codes for a second entity, the second entity being either upstream or downstream of the first entity in the serialization flow; and validating the serialization codes from the first entity by determining if the serialization codes for the first entity are compatible with the serialization codes for the second entity in the serialization flow.
Abstract:
In various disclosed examples, an identifier is selected from a first set of identifiers, the selected identifier having a representation of at least two different characters. An indication of a difference between the representation of the selected identifier and representations of one or more identifiers from a second set of identifiers is calculated, and the selected identifier is determined to be an eligible identifier if the indication of the difference satisfies a threshold criteria.
Abstract:
In various disclosed examples, an identifier is selected from a first set of identifiers, the selected identifier having a representation of at least two different characters. An indication of a difference between the representation of the selected identifier and representations of one or more identifiers from a second set of identifiers is calculated, and the selected identifier is determined to be an eligible identifier if the indication of the difference satisfies a threshold criteria.
Abstract:
A system that uses biometric data to facilitate learning is provided herein. The system receives at least two data points via a biometric sensor. Information is extracted from the at least two data points and a set of features are identified. Data analysis is then performed on the set of features.