Sentence examples for information processing applications from inspiring English sources

The chapter also focuses on information processing applications within the field of conventional electronics.

In information processing applications, nanotechnology offers many advantages because the intrinsic lower limit of the representation of one bit of information is around the atomic scale.

Inversely, by controlling the sideband transmission the periodic modulations of the single photon waveguide devices could be designed for the future optical quantum information processing applications.

These artificially created materials are of great interest for potential optical information processing applications because they provide a common platform to miniaturize a large number of optical components on-chip down to single wavelength scale.

Such nanomagnets, with dimensions of ∼100 nm × 100 nm, double the logic density of conventional two-state nanomagnetic devices by encoding more information (four binary bits: "00", "11", "10", "01") per nanomagnet and can be used in memory and logic devices as well as in higher order information processing applications.

Comverse, based in Woodbury, N.Y., makes computer and telecommunications systems and software for multimedia communications and information-processing applications.

Research utilisation was conceptualized in terms of stages, including reading the report, information processing, and application of findings for public health units' policies and programs.

Computational models replicating such human ability may contribute to the practical use of robots in daily human living environments; however, primarily because of scalability problems that conventional machine learning algorithms suffer from, sensory-motor information processing in robotic applications has typically been achieved via modal-dependent processes.

But when the information processing for such applications is dispersed around the globe, how can issues like these be addressed?

Therefore, the intensive research that has been carried out in this area – as far as the development of efficient automated deduction algorithms is concerned – can be exploited to provide new methods of information processing for biological applications.

One method for examining cortical information processing is the application of event-related potentials, for example the "Contingent Negative Variation" (CNV) [6].