Computer Aided Expert Knowledge System for the Design of Concrete Mixes

2015 ◽  
Vol 4 (3) ◽  
pp. 72-86
Author(s):  
Rajeev S. Kale ◽  
Sunil Kute
Keyword(s):  
Expert Knowledge ◽  
Knowledge System ◽  
Computer Aided

scholarly journals Expert-Knowledge Gating Mechanism in the Hierarchical Modular System

2004 ◽  
Vol 8 (4) ◽  
pp. 410-414
Author(s):  
Jeong-Yon Shim ◽  
Keyword(s):  
Knowledge Acquisition ◽  
Associative Memory ◽  
Expert Knowledge ◽  
Medical Diagnostics ◽  
Knowledge System ◽  
Knowledge Systems ◽  
Modular System ◽  
Gating Mechanism ◽  
Knowledge Learning

To maximize the efficiency of knowledge learning, it is essential that the knowledge system itself be well structured. Well designed knowledge systems make easy to access for knowledge acquisition and extraction. Expert knowledge plays a role controlling. We propose a Hierarchical modular system with an expert-knowledge gating mechanism that consists of mechanisms for acquiring knowledge, constructing associative memory and enabling knowledge inference and extraction based on expert-knowledge gating. We applied this to medical diagnostics for classifying Viruses (coxackie, echovirus and cold virus), Rhinitis (Nonallergic and allergic) and tested using symptom data.

Research of Ontology Based FPBS Design Model

2013 ◽  
Vol 275-277 ◽  
pp. 2595-2600
Author(s):  
Kang Liu ◽  
Yan Li ◽  
Wu Zhao ◽  
Wen Qiang Li
Keyword(s):  
Conceptual Design ◽  
Computer Aided Design ◽  
Knowledge System ◽  
Design Model ◽  
Structure Model ◽  
Model Function ◽  
Semantic Relationships ◽  
Computer Aided ◽  
Product Design Process ◽  
Aided Design

The conceptual design model for mechanical product and its computer aided design are the important and focus problems. A mechanical product design process of FPBS model, function-principle-behavior-structure model, was put forward and discussed. The semantic relationships between the elements of FPBS model were studied to make foundation for the application of FPBS model. The operational demand of knowledge system for FPBS model was analyzed, and indicates the ontology can be applied effectively to knowledge system operation of FPBS model. Then, an ontology based FPBS model was established and a FPBS ontology model system was constructed. The experimental results indicate the model can be used in computer aided conceptual design for mechanical product effectively.

Application and Research of XML Technology in IETM

2012 ◽  
Vol 424-425 ◽  
pp. 1062-1064
Author(s):  
Wen Ping Sheng ◽  
Rui Qi Wang ◽  
Yu Lin ◽  
Jing Li Huang ◽  
Chun Ying Yang ◽  
...  
Keyword(s):  
Expert Knowledge ◽  
Knowledge System ◽  
Markup Language ◽  
Key Technology ◽  
Language Technology ◽  
Technical Manual ◽  
System Focus

XML (eXtensive Markup Language) technology is the key technology in the development of Interactive Electronic Technical Manual (IETM) system. Focus on the analysis of the application of XML technology on current standardization and database of XML technology on the expert knowledge system.

scholarly journals Elicitation and Representation of Expert Knowledge for Computer Aided Diagnosis in Mammography

2004 ◽  
Vol 43 (03) ◽  
pp. 239-246 ◽  
Author(s):  
P. Taylor ◽  
R. Lee ◽  
E. Alberdi
Keyword(s):  
Image Processing ◽  
Decision Making ◽  
Decision Support ◽  
Expert Knowledge ◽  
Central Component ◽  
Computer Aided ◽  
Decision Making Processes ◽  
Aided Diagnosis ◽  
Malignant Diagnosis

Summary Objectives: To study how professional radiologists describe, interpret and make decisions about micro-calcifications in mammograms. The purpose was to develop a model of the radiologists’ decision making for use in CADMIUM II, a computerized aid for mammogram interpretation that combines symbolic reasoning with image processing. Methods: In Study 1, eleven radiologists were asked to ‘think out loud’ as they interpreted 20 sets of calcifications. Participants used 159 terms to describe calcifications. We used these data to design a scheme with 50 descriptors. In Study 2, ten radiologists used the scheme to describe 40 sets of calcifications. We assessed the capacity of the terms to discriminate between benign and malignant calcifications, testing them against radiologists’ assessments of malignancy and follow-up data. Results: The descriptors that were found to be the most discriminating in Study 2 were included in CADIMUM II’s knowledge base. They were represented as arguments for either a benign or a malignant diagnosis. These arguments are the central component of the decision support provided by the system. Other components are: image processing algorithms for the detection and measurement of calcifications and a set of rules that use the measures to decide which of the arguments apply to a given set of calcifications. Conclusions: Preliminary evaluations of the CADMIUM II prototype reinforce the value of representing explicitly decision making processes in computer aided mammography and of deriving these processes from image processing measurements. Decision support is presented here at a level of description that is both relevant and meaningful to the user.

Combining a Knowledge System with Computer-Aided Design

2008 ◽  
Vol 55 (2) ◽  
pp. 51-59 ◽  
Author(s):  
Bart van Oers ◽  
Martin van Hees ◽  
Douwe Stapersma ◽  
Hans Hopman
Keyword(s):  
Computer Aided Design ◽  
Knowledge System ◽  
Computer Aided ◽  
Aided Design
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