Now showing items 1-8 of 8
Technology in JTPA Programs (an interview with Charles Blaschke)
(Adult Literacy and Technology Newsletter, 1988-12)
A knowledge-based control paradigm for real-time systems
The authors examine the application of knowledge-based symbolic control to the management of execution and configuration of a complex numerical control system. Symbolic processing is used to implement inference of system ...
Low cost multi-channel GPS receiver
An investigation was conducted on compact, multichannel GPS (global positioning system) receivers. The code generator and correlation equipment were simplified, attempting to avoid downgrading the properties possessed by ...
A kinematic model for surface irrigation: Verification by experimental data
(American Geophysical Union, 1983-12)
A kinematic model for surface irrigation is verified by experimental data obtained for 31 borders. These borders are of varied characteristics. Calculated values of advance times, water surface profiles when water reaches ...
A kinematic model for surface irrigation: An extension
(American Geophysical Union, 1982-06)
The kinematic model for surface irrigation, reported previously by Sherman and Singh (1978), is extended. Depending upon the duration of irrigation and time variability of infiltration, three cases are distinguished. ...
Optimal Symbol-by-Symbol Detection for Duobinary Signaling
An optimal symbol-by-symbol detection scheme for duobinary signaling (Class I PRS) which exploits the inherent correlation properties of partial response signaling (PRS) is postulated. Analytical results indicate a maximum ...
Symbolic diagnosis for intelligent control
The results of research intended to create a symbolic diagnostician to support intelligent control of numerical processors and/or processes are reported. Example applications include real-time signal processors, industrial ...
A stochastic model for sediment yield using the Principle of Maximum Entropy
(American Geophysical Union, 1987-05)
The principle of maximum entropy was applied to derive a stochastic model for sediment yield from upland watersheds. By maximizing the conditional entropy subject to certain constraints, a probability distribution of ...