Expert Systems Based on Object Model

Haruki UENO; Yasumasa OOMORI

doi:10.6010/geoinformatics1990.2.2_97

An Expert System Shell for Fault Diagnosis

Robotica ◽

10.1017/s0263574701003460 ◽

2001 ◽

Vol 19 (6) ◽

pp. 669-674 ◽

Cited By ~ 6

Author(s):

Jie Yang ◽

Chenzhou Ye ◽

Xiaoli Zhang

Keyword(s):

Neural Network ◽

Fault Diagnosis ◽

Expert System ◽

Knowledge Representation ◽

Expert Systems ◽

Knowledge Representation And Reasoning ◽

Multiple Models ◽

Object Model ◽

Knowledge Models ◽

Expert System Shell

Traditional expert systems for fault diagnosis have a bottleneck in knowledge acquisition, and have limitations in knowledge representation and reasoning. A new expert system shell for fault diagnosis is presented in this paper to develop multiple knowledge models (object model, rules, neural network, case-base and diagnose models) hierarchically based on multiple knowledge. The structure of the expert system shell and the knowledge representation of multiple models are described. Diagnostic algorithms are presented for automatic modeling and hierarchical reasoning. It will be shown that the expert system shell is very effective in building diagnostic expert systems.

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Expert Systems Based on Object Model — An Approach to Deep Knowledge Systems

Advances in Computer Technology and Applications in Japan - Lecture Notes in Engineering ◽

10.1007/978-3-642-84514-7_4 ◽

1991 ◽

pp. 42-73

Author(s):

H. Ueno ◽

Y. Oomori

Keyword(s):

Expert Systems ◽

Knowledge Systems ◽

Object Model ◽

Deep Knowledge

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An extended object model for the design and development of expert systems

Proceedings of the 1990 ACM SIGBDP conference on Trends and directions in expert systems - SIGBDP '90 ◽

10.1145/97709.97746 ◽

1990 ◽

Author(s):

Pratik K. Biswas

Keyword(s):

Expert Systems ◽

Object Model ◽

Design And Development ◽

Extended Object ◽

Extended Object Model

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Artefact in 20Å-Resolution Electron Images of Negatively Stained Twodimensional Membrane Protein Crystals

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100053231 ◽

1982 ◽

Vol 40 ◽

pp. 92-93

Author(s):

Douglas L. Dorset ◽

Barbara Moss

Keyword(s):

Electron Scattering ◽

Cross Correlation ◽

Transmission Function ◽

Group Symmetry ◽

Asymmetric Structure ◽

Object Model ◽

Phase Object ◽

Computing Systems ◽

Resolution Electron ◽

Plane Group

A number of computing systems devoted to the averaging of electron images of two-dimensional macromolecular crystalline arrays have facilitated the visualization of negatively-stained biological structures. Either by simulation of optical filtering techniques or, in more refined treatments, by cross-correlation averaging, an idealized representation of the repeating asymmetric structure unit is constructed, eliminating image distortions due to radiation damage, stain irregularities and, in the latter approach, imperfections and distortions in the unit cell repeat. In these analyses it is generally assumed that the electron scattering from the thin negativelystained object is well-approximated by a phase object model. Even when absorption effects are considered (i.e. “amplitude contrast“), the expansion of the transmission function, q(x,y)=exp (iσɸ (x,y)), does not exceed the first (kinematical) term. Furthermore, in reconstruction of electron images, kinematical phases are applied to diffraction amplitudes and obey the constraints of the plane group symmetry.

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