Intelligent knowledge-based systems in archaeology: A computerized simulation of reasoning by means of an expert system

1985 ◽  
Vol 19 (1) ◽  
pp. 37-52 ◽  
Author(s):  
Marie-Salomé Lagrange ◽  
Monique Renaud
Keyword(s):  
Expert System ◽  
Knowledge Based Systems ◽  
Knowledge Based ◽  
Computerized Simulation

Knowledge-based systems and operational hydrology

1991 ◽  
Vol 18 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Slobodan P. Simonovic
Keyword(s):  
Expert System ◽  
Flow Measurement ◽  
Knowledge Based Systems ◽  
Flow Measurements ◽  
Knowledge Based ◽  
Original Concept ◽  
System Water ◽  
Potential Use ◽  
Selection Of

Knowledge-based systems were brought to the attention of hydrologists almost a decade ago. The application of knowledge-based systems technology is natural and appropriate for the field of hydrology because it contains numerous procedures developed from theory, actual practice, and experience. The emphasis of the present paper is on demystifying knowledge-based systems of artificial intelligence. After a detailed review of the most important applications to the field of hydrology, the original concept for applying knowledge-based technology is presented. The discussion ends with the list of possible benefits from the application of knowledge-based technology. An expert system for the selection of a suitable method for flow measurement in open channels is used as a case study to illustrate the discussion in the paper. The system has been designed for potential use in Environment Canada. Key words: expert system, water resources, hydrology, flow measurements.

The Transfusion Medicine Tutor: A Model for the Design and Use of Expert Systems for Teaching

1996 ◽  
Vol 40 (21) ◽  
pp. 1055-1059
Author(s):  
Jodi Heintz Obradovich
Keyword(s):  
Expert System ◽  
Medical Technology ◽  
Intelligent Tutoring ◽  
Control Group ◽  
Test Case ◽  
Knowledge Based Systems ◽  
Transfusion Medicine ◽  
Knowledge Based ◽  
Technology Students ◽  
The Impact

There is a long research history addressing the design of knowledge-based systems for tutoring. There exists, however, very little rigorous empirical data describing the impact of such systems on users. This paper presents the results of two studies that were conducted to investigate the effectiveness of an expert system for teaching medical technology students a complex abduction task, the identification of alloantibodies in a patient's blood. The first study, involving 30 students, showed that those students who used the system with all intelligent tutoring functions turned on and with instructor assistance available went from 0% correct on a pre-test case to 80% − 93% correct on post-tests (p < 0.001). Students in a control group, using a passive version of the system with the tutoring functions turned off, went from 7% correct on a pre-test case to 27% correct on post-tests (non significant; p > 0.05). The results of the second study found that 36 students who used the system with all intelligent tutoring functions enabled but without instructor assistance went from 19% correct on a pre-test to 83% − 86% correct on the post-tests (p < 0.001). In order to better understand the roles of the computer and the teacher in these studies, computer logs and videos collected for each student were analyzed and coded for certain key behaviors.

Linking a CAD System to an Expert System: A Step Towards a Knowledge-Based Design System for Mechanisms

1994 ◽  
Author(s):  
Wolfram Funk ◽  
Rudolf Kinzinger
Keyword(s):  
Expert System ◽  
Design Process ◽  
Computer Support ◽  
Design System ◽  
Knowledge Based Systems ◽  
Cad System ◽  
Knowledge Based ◽  
System A ◽  
Knowledge Based Design ◽  
Conventional Computer

Abstract The design process can be divided into different phases. The best order in which the designer should execute these steps remains difficult to predict. In principle, conventional computer programs can only be applied to problems for which algorithms are available. Therefore, in many fields the design process did not allow computer support. The technology of knowledge-based systems has led to new perspectives. However, knowledge-based systems can only be utilized if the well-established design aid, CAD system, is integrated into the concept of knowledge-based computer support. Conceptual considerations and new approaches to linking a CAD system to an expert system, which assists the designer in solving kinematic problems, especially in the conceptual phase, are presented.

Development of Inspection System for Crack in R.C. Tunnel Lining by Using Knowledge-Based System (KBS)

2012 ◽  
Vol 622-623 ◽  
pp. 1415-1420
Author(s):  
Yousif A. Mansoor ◽  
Zhi Qiang Zhang
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Visual Inspection ◽  
Tunnel Lining ◽  
Inspection System ◽  
Knowledge Based Systems ◽  
System Environment ◽  
Periodic Inspection ◽  
Knowledge Based ◽  
Satisfactory Answer

Over the last several years, many concrete tunnels have been constructed for roads, highways, and railways. For safety in concrete tunnel, periodic inspection has been conducted using many testing technologies and techniques. However, these technologies cannot replace visual inspection because of their slow and complicated procedures. For this reason, the Knowledge-Based Systems (KBS) are used to diagnose R.C tunnel lining crack damage (DICRCTL). In this paper, we attempt to propose an alternative to the human expert, to give technical decisions in diagnosing crack damages in second segment of R.C. tunnel lining. To overcome this requirement, an expert system is developed to achieve the research aim. This proposed system was constructed on a knowledge base that incorporates with the gathered information in the form of rules which is suitable to implement in an expert system environment to diagnostic advisory nature. The proposed application results show an easy, fast and satisfactory answer to engineering needs.

Kinematic Structural Synthesis of Mechanisms Using Knowledge-Based Systems

1995 ◽  
Vol 117 (1) ◽  
pp. 96-103 ◽  
Author(s):  
M. Chew ◽  
S. N. T. Shen ◽  
G. F. Issa
Keyword(s):  
Expert System ◽  
Systems Approach ◽  
Knowledge Based Systems ◽  
Heuristic Rules ◽  
Structural Synthesis ◽  
Immediate Feedback ◽  
Knowledge Based ◽  
Design Alternatives ◽  
Synthesis Of Mechanisms ◽  
Robot Hands

This paper presents a knowledge-based systems approach to the automation of the conceptual synthesis of mechanisms. The system utilizes a procedure for synthesizing design alternatives based on the principle of separation of structure from function. This principle in turn resolves the problem of knowledge representation of design alternatives through the use of graph structures which are then evaluated using a set of heuristic rules. The expert system presented in this paper has been implemented and tested for the conceptual synthesis of variable-stroke engines and robot-hands kinematic structures. The system has shown the capability of producing numerous design alternatives for these two applications, and has provided consistent results based on the evaluation rules. It has also provided the designer with immediate feedback on the viability of any given design alternative and the reasons behind that decision.

Book review: Introduction to Knowledge Based Systems

IEE Review ◽  
1988 ◽  
Vol 34 (1) ◽  
pp. 36
Author(s):  
S.H. Lavington
Keyword(s):  
Knowledge Based Systems ◽  
Knowledge Based
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