Based on the knowledge base of die castion mold material selection and auxiliary design expert system

2011 ◽  
Author(s):  
Zheng Huichao ◽  
Chu Zuoming ◽  
Chen Dong ◽  
Jin Kang ◽  
Wang Xiaohui
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Material Selection ◽  
Mold Material ◽  
Design Expert

scholarly journals A Prototype Expert System for the Selection of Road Construction Materials

2007 ◽  
Vol 4 (1) ◽  
pp. 1
Author(s):  
S. Hassim ◽  
K.T. Teh ◽  
R. Muniandy ◽  
H. Omar ◽  
A. Hassan
Keyword(s):  
Expert System ◽  
Knowledge Base ◽  
Material Selection ◽  
Construction Material ◽  
Construction Materials ◽  
Road Construction ◽  
Statistical Testing ◽  
Factors Affecting ◽  
Microsoft Access ◽  
Programming Tool

A prototype for an expert system in road construction material selection system, which is based on the outcomes of Friedman and multiple comparisons statistical methods was developed. The outcomes were acquired through questionnaires from selected pavement experts. The factors affecting pavement materials under each particular site condition were incorporated into the specific rules of the system. The system knowledge-base was extracted from the statistical testing outcomes and then rearranged and compiled prior to the development of the system. Visual Basic 6.0 was adopted as the programming tool for development of the system, while the knowledge-base of the separate system was kept in Microsoft Access 2000. The prototype expert system can be used to emulate part of the professional reasoning capabilities based on the knowledge of a pavement expert or a specialist to solve problems on materials selection. The system can help road designers to improve their professional ability to evaluate all available materials even before carrying out any laboratory tests.

MENUDA: A Knowledge-Based Menu Design Expert System

1987 ◽  
Vol 31 (12) ◽  
pp. 1315-1319
Author(s):  
Kuocheng A. Parng ◽  
Vernon S. Ellingstad
Keyword(s):  
User Interface ◽  
Expert System ◽  
Knowledge Base ◽  
Interface Design ◽  
Design Guidelines ◽  
Current Version ◽  
Design Expert ◽  
Knowledge Based ◽  
Menu System ◽  
Menu Design

An experimental knowledge-based menu design assistant (MENUDA) was developed to aid the design of menu systems. A conceptual model was first developed to provide a structured construct to organize knowledge of menu system design from the available literature, and to serve as a paradigm for the development of the MENUDA system. The knowledge base and the user interface of the MENUDA system were developed under an interactive microcomputer environment supported by Texas Instruments' Personal Consultant Plus. The current version of the MENUDA system is described in the paper. In addition, the methodology used to derive rules in the MENUDA knowledge base and the appropriateness of employing a knowledge-based expert system approach to providing user interface design guidelines are discussed.

Study on the Development and Application of Automobile Transmission Design Expert System

2011 ◽  
Vol 366 ◽  
pp. 352-356
Author(s):  
Nai Wei Zou ◽  
Xiu Min Yu
Keyword(s):  
User Interface ◽  
Expert System ◽  
Knowledge Base ◽  
Graphical User Interface ◽  
Design Calculation ◽  
Design Expert ◽  
System A ◽  
Input And Output ◽  
Transmission Design ◽  
System Knowledge

This paper introduces the development of transmission design expert system base on MATLAB. It is discussed in detail that the establishment of expert system knowledge base， input and output (I/O) interface， material database and parameter database. In the part of the knowledge base, such as modeling of transmission design calculation, building of material database and parameter database are expounded detailedly. The I/O interface is built with MATLAB “Graphical User Interface (GUI)” technology, which is good at organizing knowledge, so ensure the consistency and rationality between I/O interface and knowledge base. Furthermore, the I/O interface makes the communication between the subsystems more convenience. Finally, with the help of expert system, a (4 + 1) gears Manual Transmission is designed, The result shows that the transmission expert system can shorten automobile transmission design calculating time and improve the calculation precision.

An expert system for real-time well field management

2012 ◽  
Vol 12 (5) ◽  
pp. 699-706 ◽  
Author(s):  
B. S. Marti ◽  
G. Bauser ◽  
F. Stauffer ◽  
U. Kuhlmann ◽  
H.-P. Kaiser ◽  
...  
Keyword(s):  
Drinking Water ◽  
Expert System ◽  
Knowledge Base ◽  
Real Time ◽  
Urban Areas ◽  
Industrial Sites ◽  
Water Wells ◽  
Well Field ◽  
Field Management ◽  
Historical Management

Well field management in urban areas faces challenges such as pollution from old waste deposits and former industrial sites, pollution from chemical accidents along transport lines or in industry, or diffuse pollution from leaking sewers. One possibility to protect the drinking water of a well field is the maintenance of a hydraulic barrier between the potentially polluted and the clean water. An example is the Hardhof well field in Zurich, Switzerland. This paper presents the methodology for a simple and fast expert system (ES), applies it to the Hardhof well field, and compares its performance to the historical management method of the Hardhof well field. Although the ES is quite simplistic it considerably improves the water quality in the drinking water wells. The ES knowledge base is crucial for successful management application. Therefore, a periodic update of the knowledge base is suggested for the real-time application of the ES.

scholarly journals Knowledge Acquisition and Representation for High-Performance Building Design: A Review for Defining Requirements for Developing a Design Expert System

2021 ◽  
Vol 13 (9) ◽  
pp. 4640
Author(s):  
Seung-Yeoun Choi ◽  
Sean-Hay Kim
Keyword(s):  
Decision Support ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Acquisition ◽  
Data Analytics ◽  
High Performance ◽  
Problem Definition ◽  
Design Expert ◽  
Decision Support Process ◽  
High Performance Building

New functions and requirements of high performance building (HPB) being added and several regulations and certification conditions being reinforced steadily make it harder for designers to decide HPB designs alone. Although many designers wish to rely on HPB consultants for advice, not all projects can afford consultants. We expect that, in the near future, computer aids such as design expert systems can help designers by providing the role of HPB consultants. The effectiveness and success or failure of the solution offered by the expert system must be affected by the quality, systemic structure, resilience, and applicability of expert knowledge. This study aims to set the problem definition and category required for existing HPB designs, and to find the knowledge acquisition and representation methods that are the most suitable to the design expert system based on the literature review. The HPB design literature from the past 10 years revealed that the greatest features of knowledge acquisition and representation are the increasing proportion of computer-based data analytics using machine learning algorithms, whereas rules, frames, and cognitive maps that are derived from heuristics are conventional representation formalisms of traditional expert systems. Moreover, data analytics are applied to not only literally raw data from observations and measurement, but also discrete processed data as the results of simulations or composite rules in order to derive latent rule, hidden pattern, and trends. Furthermore, there is a clear trend that designers prefer the method that decision support tools propose a solution directly as optimizer does. This is due to the lack of resources and time for designers to execute performance evaluation and analysis of alternatives by themselves, even if they have sufficient experience on the HPB. However, because the risk and responsibility for the final design should be taken by designers solely, they are afraid of convenient black box decision making provided by machines. If the process of using the primary knowledge in which frame to reach the solution and how the solution is derived are transparently open to the designers, the solution made by the design expert system will be able to obtain more trust from designers. This transparent decision support process would comply with the requirement specified in a recent design study that designers prefer flexible design environments that give more creative control and freedom over design options, when compared to an automated optimization approach.

Creating a Knowledge Base for a Mivar Expert System for the Diagnosis of Diabetes Mellitus

2021 ◽  
Vol 54 (6) ◽  
pp. 421-424
Author(s):  
H. Kim ◽  
D. A. Chuvikov ◽  
D. V. Aladin ◽  
O. O. Varlamov ◽  
L. E. Adamova ◽  
...  
Keyword(s):  
Diabetes Mellitus ◽  
Expert System ◽  
Knowledge Base ◽  
Diagnosis Of Diabetes Mellitus
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