Knowledge-based advisory system for flexible pavement routine maintenance

1993 ◽  
Vol 20 (1) ◽  
pp. 154-163 ◽  
Author(s):  
Paulette B. Hanna ◽  
Awad S. Hanna ◽  
Thomas A. Papagiannakis
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Practical Experience ◽  
Asphalt Pavements ◽  
Pavement Maintenance ◽  
Advisory System ◽  
Knowledge Based ◽  
Other Information ◽  
Maintenance Decisions ◽  
Asphalt Concrete Pavement

One of the most pressing problems facing Canada is the condition of roadway infrastructure. Making good maintenance decisions requires years of practical experience and judgement. Expert systems have great potential for solving pavement maintenance problems that usually require significant human expertise for solution. Expert systems, also known as knowledge-based systems, have been used as a means for conveying pavement maintenance knowledge gained through research and field experience to individuals responsible for maintaining asphalt pavements. An expert system is defined as an interactive computer program which documents judgement, experience, intuition, and other information in order to provide knowledgeable advice.This paper describes the development of PMAS, a pavement maintenance advisory system, which can assist highway engineers in planning effective flexible or asphalt concrete pavement maintenance strategies. The system uses two alternative commercial expert system shells. The system questions the user in a multiple-choice format in everyday English and (or) by using pictures. The user responds by selecting one or more of the choices provided by the system. At the end of the consultation session, the system displays the most appropriate maintenance strategy along with its life expectancy. PMAS facilitates the decision-making process and could serve as a consultant for field engineers. Key words: expert system, knowledge-based system, pavement maintenance.

Development of a GIS-based Expert System for on-site Storm-water Management

2006 ◽  
Vol 1 (1) ◽  
Author(s):  
Z. Jin ◽  
F. Sieker ◽  
S. Bandermann ◽  
H. Sieker
Keyword(s):  
Expert System ◽  
Urban Areas ◽  
Local Area ◽  
Practical Experience ◽  
Influential Factors ◽  
Water Infiltration ◽  
Storm Water ◽  
Negative Effects ◽  
Knowledge Based ◽  
The City

Urbanization is accelerating worldwide. One of the negative effects of urbanization is the overloading of the city sewer system. To solve this problem, on-site storm water infiltration proves very promising due to its near natural characteristics and multiple effects on the drainage of stormwater runoff in urban areas. However, the judgment of whether a local area is appropriate to be drained in this way and which infiltration measures are optimal is rather complex and involves analysing a set of influential factors. This judgment depends on not only relevant theoretical considerations, but also a large amount of practical experience and the availability of relevant data, as well. Such a judgment is an unstructured problem and relates to changeable knowledge. To fulfill this task, the so-called expert system, or knowledge-based system, is introduced. One of the advantages of an expert system is that it provides automation of expert-level judgment. This is extremely helpful when an expert-level judgment is needed repeatedly for a large amount of cases, like in the planning of on-site stormwater infiltration systems for an entire city catchment. This paper describes a self-developed expert system tool for developing rule-based expert systems, as well as a case study: using an expert system for the selection of on-site storm water infiltration measures for the city of Chemnitz, Germany.

A REVIEW OF WEB BASED EXPERT SYSTEMS FOR FLEXIBLE PAVEMENT MAINTENANCE

2016 ◽  
Vol 78 (6) ◽  
Author(s):  
Abdalrhman Milad ◽  
Noor Ezlin Ahmad Basri ◽  
Muhamad Nazri Borhan ◽  
Riza Atiq Abdullah O. K. Rahmat
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Flexible Pavement ◽  
Web Based ◽  
Tropical Regions ◽  
Highway Engineering ◽  
Pavement Maintenance ◽  
Decision Making Processes ◽  
Pavement Construction ◽  
Tropical Climates

This paper reviews the application of expert systems in a flexible pavement (ESFP). It involves a brief introduction to expert systems explaining how technology plays a role in the creation of latest approaches to highway engineering, development, and maintenance. The paper provides an outline for possibilities of future researches. The purpose of this paper is to summarise the latest outcomes of researches related to the process of engineering, developing and implementing an expert scheme for flexible pavement construction. Moreover, the paper shows the necessity to develop an expert system that can help to control damage in tropical regions. The current expert system does not accommodate the needs for damages and repairs for tropical climates. The tropical region’s highway’s flexible pavements are based on the knowledge of experts who analysed and maintained highway pavements. This system enables the performance engineers to analyse, determine and customise information to help relevant parties during decision-making processes.

USING EXPERT SYSTEMS FOR IMAGE UNDERSTANDING

1987 ◽  
Vol 01 (02) ◽  
pp. 237-250 ◽  
Author(s):  
P. SUETENS ◽  
A. OOSTERLINCK
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Review Paper ◽  
Image Understanding ◽  
Interested Reader ◽  
Knowledge Based ◽  
Survey Papers ◽  
Application Fields

Expert systems and image understanding have traditionally been considered as two separate application fields of artificial intelligence (AI). In this paper it is shown, however, that the idea of building an expert system for image understanding may be fruitful. Although this paper may serve as a framework for situating existing works on knowledge-based vision, it is not a review paper. The interested reader will therefore be referred to some recommended survey papers in the literature.

COOP: A SELF-ASSESSMENT BASED APPROACH TO COOPERATING EXPERT SYSTEMS

1992 ◽  
Vol 01 (02) ◽  
pp. 175-204 ◽  
Author(s):  
SHASHI SHEKHAR ◽  
C. V. RAMAMOORTHY
Keyword(s):  
Expert System ◽  
Problem Solving ◽  
Expert Systems ◽  
Computational Method ◽  
Global Knowledge ◽  
Self Assessment ◽  
Knowledge Based ◽  
Contract Net ◽  
Distributed Problem Solving ◽  
Geographically Distributed

Conventional Expert System Shells do not help in developing AI programs for large applications like automated factories, which require multi-disciplinary knowledge and which are geographically distributed. To support these applications, a shell must provide tools for a knowledge-based system to (i) reason about the need for cooperation, (ii) understand global knowledge to locate relevant expert systems and (iii) select appropriate cooperation plans. Contemporary approaches like Blackboard [1], Contract-net [2] and Distributed problem solving [3] help in exploring alternative cooperation plans without any reasoning about the need for cooperation and understanding of global knowledge. Coop [4] support cooperation models to characterize three essential decisions in the cooperation process. It provides a computational method to decide if an expert system needs to consult with other expert systems. We provide techniques select appropriate cooperation plans.

scholarly journals Rule Based and Supervisory Training Approach To Develop Expert System Tool For Detecting Lung Cancer Disease

2010 ◽  
Vol 9 (1) ◽  
pp. 1-11
Author(s):  
K. Balachandran ◽  
R. Anitha
Keyword(s):  
Lung Cancer ◽  
Expert System ◽  
Expert Systems ◽  
Medical Attention ◽  
Cancer Disease ◽  
Rule Based ◽  
Knowledge Based ◽  
Training Approach ◽  
Dreaded Disease ◽  
Rule Based Approach

Knowledge-based expert systems, or expert systems, use human knowledge to solve problems that normally would require human intelligence. These expert systems represent the expertise knowledge as data or rules within the computer. These rules and data can be called upon when needed to solve problems. Lung cancer is one of the dreaded disease in the modern era. It is responsible for the most cancer deaths in both men and women throughout the world. Early diagnosis and timely treatment are imperative for the cure. Longevity and cure depends on early detection. This paper gives on insight to identify the forget group of people who are suffering or susceptible to suffer lung cancer disease. Seeking proper medical attention con be initiated based on the findings. Expert system tool developed, to find this target group based on the non-clinical parameters. Symptoms and risk factors associated with Lung cancer ore token as the basis of this study. This expert system basically works on the rule based approach to collect the data. Then Supervisory learning approach is used to infer the basic data. Once sufficient knowledge base is generated the system can be made to adopt in unsupervised learning mode.

Design of an Android-Based Tropical Disease Diagnosis Expert System Design Using a Combined Method of Forward Chanining and Backward Chaining

2015 ◽  
Vol 1 (1) ◽  
pp. 43-50
Author(s):  
Muhammad Fahmi Hidayah
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Disease Diagnosis ◽  
Reference Book ◽  
Combined Method ◽  
Specific Domain ◽  
Backward Chaining ◽  
Forward Chaining ◽  
Knowledge Based ◽  
Specific Symptoms

A doctor or medical scholar needs a reference book to learn how to diagnose tropical diseases. This reference book is sometimes a hassle if you have to carry it everywhere. This reference book is also impractical if you have to search it first to find the symptoms and diseases you want to study. So that we need a system to make it easier for doctors and medical scholars to study the science of diagnosis and look for symptoms and diseases. Expert systems are knowledge-based programs that provide expert quality solutions to problems in a specific domain. This expert system is used in the fields of medicine, agriculture, business, and others. Expert systems in the field of medicine make it easy to identify diseases suffered by patients through the symptoms present in the patient. This expert system helps doctors make diagnoses to convince doctors about the results of the diagnosis. The expert system in this study uses a combined method. The combined method is forward chaining and backward chaining. The forward chaining method is used to determine specific symptoms that appear, while the backward chaining method is used to trace general symptoms that arise from specific symptoms that have been previously selected. The result of combining these methods provides a diagnostic percentage of 100%. Meanwhile, the user's assessment of the system gives a good response.

Applications of expert system building tools in structural design

1991 ◽  
Vol 18 (3) ◽  
pp. 493-503
Author(s):  
K. M. Sakr ◽  
M. U. Hosain
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Knowledge Base ◽  
Structural Design ◽  
Simple Design ◽  
Inference Mechanism ◽  
System Building ◽  
Knowledge Based ◽  
Real World Applications ◽  
Basic Concepts

This paper summarizes the basic concepts of expert systems and describes some of the applications of three commercially available expert system tools. The function of the various components of the tools is explained using simple design examples. It is concluded that a tool can be employed to develop useful expert systems for real-world applications, provided factual and heuristic material is available for creating a knowledge base. Key words: artificial intelligence, knowledge-based expert systems, knowledge base, inference mechanism, expert system building tools, structural design, applications of expert system building tools.

Knowledge Acquisition, Verification, and Validation in an Expert System for Improved Traffic Safety

2000 ◽  
Vol 1739 (1) ◽  
pp. 83-91 ◽  
Author(s):  
Lisa Herland ◽  
Björn Möller ◽  
Rein Schandersson
Keyword(s):  
Expert System ◽  
Traffic Safety ◽  
Urban Areas ◽  
Practical Experience ◽  
Verification And Validation ◽  
End User ◽  
Interview Technique ◽  
Knowledge Based ◽  
Single Solution ◽  
Constructing Knowledge

KLOTS (knowledge-based local traffic safety support) is a Swedish expert system that provides advice on traffic safety problems and countermeasures in urban areas. The system is briefly described and the processes of knowledge collection, verification, and validation used in its development are explained. The user defines a safety problem with input forms. The result from the system is an analysis and a list of countermeasures, each with specific comments that reflect the problem. The principle of presenting a list instead of a single solution is intended to make the user more active in the process of finding an appropriate countermeasure. In practice, KLOTS may be used for providing advice, testing solutions, and making checks. It also may be used for educational purposes. The knowledge in KLOTS was obtained from experts during interviews and is structured in the form of rules for evaluating each problem specified. Development of the system has indicated that the experts must have recent practical experience of traffic safety problems. Presenting real-world cases to the experts and asking them to explain how they would solve them has proved to be the most successful interview technique. It has been possible to achieve a consensus among experts. Extensive testing, verification, and validation are carried out before new versions of KLOTS are released. Both end user validation and knowledge verification are described. Development and widespread use of the system show both the feasibility of constructing knowledge-based systems for traffic safety and a demand for such systems.

Expert Systems in Electrical Engineering Education

1988 ◽  
Vol 25 (2) ◽  
pp. 113-124 ◽  
Author(s):  
H. E. Hanrahan
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Electrical Engineering ◽  
Bachelor's Degree ◽  
Engineering Practice ◽  
Rule Based ◽  
Knowledge Based ◽  
The Status ◽  
Electrical Engineering Education ◽  
Future Potential

This paper reviews the status and future potential of knowledge-based expert systems in relation to electrical engineering practice and education. A generalised rule-based expert system is described. Uses of expert systems in the Bachelor's Degree are identified by means of examples. Software and tools are discussed.

scholarly journals Design Of Expert System To Diagnose Sexually Infected Diseases In Human Using The Backward Chaining Method (Perancangan Sistem Pakar Untuk Mendiagnosa Penyakit Menular Seksual Pada Manusia Dengan Penerapan Metode Backward Chaining)

KOMTEKINFO ◽  
2019 ◽  
Vol 6 (2) ◽  
pp. 135-143
Author(s):  
Harkamsyah Andrianof
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Sexually Transmitted Disease ◽  
Transmitted Disease ◽  
Human Knowledge ◽  
Backward Chaining ◽  
Sexually Transmitted ◽  
Knowledge Based System ◽  
Knowledge Based

Expert systems (expert systems) in general is trying to adopt a system of human knowledge into a computer, so the computer can resolve the problem as was done by the experts. Or in other words, the expert system is a system designed and implemented with the help of a specific programming language to be able to resolve the problem as done by experts. In this case I tried to implement an expert system to diagnose sexually transmitted disease from the symptoms and the causes of Sexually Transmitted Disease. The purpose of this paper is to build a knowledge-based system on Sexually Transmitted Disease using backward chaining method that will be displayed in the form of a website using PHP programming and MySQL database.

Sign in / Sign up

Export Citation Format

Share Document