Open Access. Powered by Scholars. Published by Universities.®

Physical Sciences and Mathematics Commons™

Open Access. Powered by Scholars. Published by Universities.®

Computer Sciences

1991

Institution
Keyword
Publication
Publication Type
File Type

Articles 271 - 275 of 275

Full-Text Articles in Physical Sciences and Mathematics

An Expert Inference Engine For Generation Of Nursing Diagnoses, Tom Edgar Jan 1991

An Expert Inference Engine For Generation Of Nursing Diagnoses, Tom Edgar

UNF Graduate Theses and Dissertations

Expert computer systems for use in the nursing profession are emerging as a potentially viable alternative to manual procedures. As nursing science continues to develop, the intellectual requirements of assessment and diagnosis are demanding that the professional nurse draw on an ever increasing bank of knowledge to interact effectively with clients. An expert system appears a promising tool to assist the nurse in storing and accessing some of the knowledge necessary to perform the assessment and diagnostic functions.

Problems and opportunities In applying artificial intelligence techniques to nursing science are documented and the current state of expert systems for nursing …

Go to article

Exclusive And Inclusive Semileptonic Decays Of B Mesons To D Mesons, R. Fulton, M. Thulasidas Jan 1991

Exclusive And Inclusive Semileptonic Decays Of B Mesons To D Mesons, R. Fulton, M. Thulasidas

Research Collection School Of Computing and Information Systems

We report new measurements of the branching fractions B ( B − → D 0 l − ¯ ν ) , B ( ¯ B 0 → D + l − ¯ ν ) , and B ( B − → D * 0 l − ¯ ν ) . Combining these results with our previous measurement of B ( ¯ B 0 → D * + l − ¯ ν ) , we find that the ratio of semileptonic widths for final states with a vector meson and pseudoscalar meson is ( 2.6 + 1.1 + 1.0 − 0.6 …

Go to article

An Analysis And Implementation Of Linear Derivation Strategies, Winston M. Tabada Jan 1991

An Analysis And Implementation Of Linear Derivation Strategies, Winston M. Tabada

Theses: Doctorates and Masters

This study examines the efficacy of six linear derivation strategies: (i) s-linear resolution, (ii) the ME procedure; (iii) t-linear resolution, (iv) SL -resolution, (v) the GC procedure, and (vi) SLM. The analysis is focused on the different restrictions and operations employed in each derivation strategy. The selection function, restrictive ancestor resolution, compulsory ancestor resolution on literals having atoms which are or become identical, compulsory merging operations, reuse of truncated literals, spreading of FALSE literals, no-tautologies resection, no two non-B-literals having identical atoms restriction, and the use of semantic information to trim irrelevant derivations from the search tree are the major …

Go to article

A Simulation Of Demand-Driven Dataflow: Translation From Lucid Into Mdc Language, George K. Thiruvathukal, Thomas W. Christopher Jan 1991

A Simulation Of Demand-Driven Dataflow: Translation From Lucid Into Mdc Language, George K. Thiruvathukal, Thomas W. Christopher

Computer Science: Faculty Publications and Other Works

Message Driven Computation (MDC) is a model of computation with which they have been experimenting at the Illinois Institute of Technology. The authors aim to prove the viability of MDC in practice for the expression of parallel algorithms and the implementation of functional and dataflow programming languages. In the paper they discuss their implementation of the Lucid programming language in MDC. The discussion presents a subset of Lucid which illustrates the principles of Lucid, Message Driven Computing, and the translation into and the interpretation of dataflow graphs.

Go to article

Solving Ill-Posed Problems With Artificial Neural Networks, Arun D. Kulkarni Dec 1990

Solving Ill-Posed Problems With Artificial Neural Networks, Arun D. Kulkarni

Arun Kulkarni

With many physical problems, measurement of spectral distribution, cosmic radiation, aerial and satellite imaging indirect sensing/recording devices are used. In many of these cases, the recording systems can be modeled by a Fredholm integral equation of the first kind. An inversion of the kernel representing a system, in the presence of noise, is an ill-posed problem. The direct inversion often yields an unacceptable solution. In this paper, we suggest an artificial neural network (ANN) architecture to solve certain kinds of ill-posed problems. The weights in the model are initialized using eigen-vectors and eigen-values of the kernel matrix that characterize the …

Go to article

First Prev