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.

scholarly journals An Educational Web-Based Expert System for Novice Highway Technology in Flexible Pavement Maintenance

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Abdalrhman Milad ◽  
Nur Izzi Md. Yusoff ◽  
Sayf A. Majeed ◽  
Zainab Hasan Ali ◽  
Mohmed Solla ◽  
...  
Keyword(s):  
Expert System ◽  
User Satisfaction ◽  
Questionnaire Survey ◽  
Flexible Pavement ◽  
Web Based ◽  
Mean Values ◽  
Tropical Regions ◽  
Highway Engineering ◽  
Pavement Maintenance ◽  
Novel Concept

Nowadays, higher education worldwide is affected by the COVID-19 pandemic. It has affected students’ attendance in the universities and causes universities to close down in more than 190 countries. On the other hand, novice engineers studied only a few lectures related to highway engineering. Their lectures have included very little knowledge about asphalt pavement construction as highway engineering consists of many areas that are not studied in detail during their studying years subject to their traditional education. Due to all mentioned, a new drive to promote online learning paves the way to evaluate our future approach to curriculum development and delivery of educational materials for engineering courses. However, experts can offer solutions to these problems using their past experience. Hence, a system that allows experts to share their experience with other engineers after completing a project is needed. Nevertheless, the web-based expert system for maintaining flexible pavement problems in tropical regions (ESTAMPSYS) designed in this study is a novel concept. Prior to developing this system, the need for such a system was determined through literature review and validated through a questionnaire survey. Experts were interviewed, and a questionnaire survey was conducted to construct the knowledge base of the system. Knowledge was presented as rules and coded in software through PHP programming. Web pages that support the user interface were designed using a framework that consists of CSS, HTML, and J-Query. Furthermore, the system was tested by an array of users engaged in highway engineering, namely, experts, teaching experts, novice engineers, and students. The mean values of the overall system evaluation performed by 20 users using a five-point Likert scale were 4, 4.5, 3.75, 4.25, 5, 4, and 3.5. Expert and user satisfaction prove the effectiveness of the proposed system.

scholarly journals IDENTIFIKASI PENYAKIT PADA TERUMBU KARANG MENGGUNAKAN RIPPLE DOWN RULES

2018 ◽  
Vol 1 (2) ◽  
pp. 165-174
Author(s):  
Agus Cahyo Nugroho
Keyword(s):  
Coral Reef ◽  
Expert System ◽  
Expert Systems ◽  
Specific Problem ◽  
Specific Knowledge ◽  
Web Based ◽  
Human Thinking ◽  
Ripple Down Rules

Along with the development of technology, people developed a system that capable of adopting processes and human thinking as an expert system that contains specific knowledge so that everyone can use it to solve a specific problem, namely the diagnosis of coral reef disease. The purpose of this study is to develop an expert system for diagnosing coral reef disease  in the form of websites using PHP with a MySQL database. Expert system for diagnosing coral reef disease problem is using Ripple Down Rules (RDR) method has a goal to discover symptoms that appear in the form of questions that can diagnose the coral reef disease based on website. Web based expert system is able to recognize types of coral reef disease after consultation by answering a few questions that are displayed by the application of expert systems and can infer some types of coral  reef disease. Data coral reef disease that already known adapt to rules which are made for matching the symptoms of coral reef disease.

DEVELOPMENT OF A FUZZY EXPERT SYSTEM TO PRIORITIZE TRAFFIC CALMING PROJECTS

2016 ◽  
Vol 78 (2) ◽  
Author(s):  
Amir Falamarzi ◽  
Muhamad Nazri Borhan ◽  
Riza Atiq O. K. Rahmat ◽  
Samira Cheraghi ◽  
Hamid Haj Seyyed Javadi
Keyword(s):  
Decision Making ◽  
Fuzzy Logic ◽  
Expert System ◽  
Expert Systems ◽  
Traffic Safety ◽  
Effective Parameters ◽  
Traffic Calming ◽  
Inference Engines ◽  
Efficiency And Effectiveness ◽  
Decision Making Processes

Nowadays, due to the constraints of budget and time, the prioritization of traffic calming projects before installation of traffic calming measures is vital for transportation engineers and urban planners. The purpose of this study is to develop an expert system for prioritizing streets that are affected by problems associated with traffic safety using Fuzzy Logic. Expert systems have been used widely and globally for facilitating decision-making processes in various fields of engineering. Due to the uncertainty and vagueness in traffic and transportation related problems, the use of fuzzy logic in the inference engines and decision-making processes of expert systems, is effective. In the proposed expert system, effective parameters in prioritizing traffic calming projects in residential streets including traffic volume, residential density, differential speed and number of accidents are investigated. The Fuzzy Logic toolbox, which is embedded in MATLAB (R2010b), is employed to design and simulate this expert system on the basis of Fuzzy Logic. A specific GUI was developed for this purpose. By developing this system, engineers and decision-makers will be able to rank projects according to their importance. This expert system was tested through prioritizing a number of residential streets in the city of Tehran. The output of the tests showed that the proposed system is helpful in prioritizing different traffic calming projects. Finally, the evaluation of the system was conducted. According to the assessment, most evaluators acknowledged the efficiency and effectiveness of the system. 

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.

scholarly journals Expert System for Chili Plants Disease Detection using Certainty Factor Method

2019 ◽  
Vol 9 (1) ◽  
pp. 1145-1151
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Programming Language ◽  
Disease Detection ◽  
Certainty Factor ◽  
Web Based ◽  
Factor Method ◽  
Delone And Mclean ◽  
The Creation ◽  
Design And Manufacture

This paper describes the creation of an expert system that is used to diagnose diseases in chili plants using a web-based certainty factor method. This expert system is made based on the weight of symptoms by experts so that users can find out the disease suffered by chili plants based on symptoms that arise. The symptom weight was calculated using the certainty factor method. This method is used to accommodate uncertainties that are often expressed by experts when detecting a disease. The design and manufacture of this expert system are done using the PHP programming language, MySQL database, CSS and the CodeIgniter framework. The results of the analysis between expert and expert systems have 87.09% compatibility level, and based on the calculation of the feasibility of the system with the Delone and McLean model shows that 77.58% of respondents agree Pakarcabaiku.com is a successful system for detecting chili disease.

Rxpert: A Prototype Expert System for Formulary Decision Making

1992 ◽  
Vol 26 (2) ◽  
pp. 244-250 ◽  
Author(s):  
Marianne L. Greer
Keyword(s):  
Decision Making ◽  
Expert System ◽  
Expert Systems ◽  
Knowledge Engineering ◽  
Drug Product ◽  
Computer Assisted ◽  
Health Related ◽  
Human Decision ◽  
Decision Making Processes ◽  
Complex Decision Making

OBJECTIVE: RXPERT, a prototype, computer-based, expert system that models the decision-making processes for an ambulatory (non-hospital) formulary, is described as an example of how expert systems may be used to support pharmacy decision making. Basic information about expert-system technology is provided through this example. BACKGROUND: Computer-assisted decision making is becoming an important and accepted aspect of complex, health-related decisions. Because expert-system support may become an integral component of future, complex, pharmacy decision making, it is important for pharmacists to become familiar with this technology and its possibilities for supporting pharmacy decisions. METHOD: Expert systems offer the potential advantages of making the human decision-making process explicit, more consistent, easily duplicated in many locations simultaneously, and easy to update and document. Although an expert system is seldom intended to replace human decision makers, it can provide valuable support for complex, multivariable decisions. Typical knowledge-acquisition and knowledge-engineering techniques, as well as the characteristics and structure of expert systems, are described, relative to the development of the RXPERT prototype. CONCLUSIONS: Although RXPERT is not yet in use, the process for using an expert system to support an individual committee member's personal assessment of a drug product is described. Decision-support expert systems are potentially useful to pharmacists in complex decision-making tasks.

scholarly journals Sistem Pakar Untuk Mendeteksi Kerusakan Pada Sepeda Motor Dengan Menggunakan Metode Forward Chaining Berbasis Web

2018 ◽  
Vol 9 (1) ◽  
pp. 42-58
Author(s):  
Januardi Nasir ◽  
Zefly Haposan Gultom
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
System Design ◽  
Programming Language ◽  
Production System ◽  
Web Based ◽  
Forward Chaining ◽  
Knowing That ◽  
System Method ◽  
System Data

Kebanyakan pengendara cenderung menyerahkan sepeda motor kepada mekanik tanpa mengetahui sebenarnya kerusakan tersebut merupakan kerusakan sederhana atau terlalu rumit untuk diperbaiki. Untuk menangani permasalahan tersebut maka dibutuhkan sebuah sistem pakar yang mampu untuk menganalisa, menemukan dan memberikan solusi. Kemampuan seorang mekanik sepeda motor dapat diimplementasikan kedalam sebuah sistem pakar. Data-data yang berkaitan dengan kerusakan sepeda motor 4-tak dianalisa kemudian diolah menggunakan metode sistem pakar forward chaining. Model representasi pengetahuan yang digunakan dalam sistem pakar adalah berbasis kaidah produksi. Desain sistem dilakukan menggunakan bantuan aplikasi starUML. Sistem pakar dibuat menggunakan bahasa pemrograman PHP dan database MySQL sehingga menghasilkan sebuah sistem pakar untuk mendeteksi kerusakan sepeda motor 4-tak menggunakan metode forward chaining berbasis web. Berdasarkan hasil pengujian dan percobaan yang telah dilakukan menunjukkan bahwa sistem pakar untuk mendeteksi kerusakan sepeda motor 4-tak berfungsi dengan baik. Sistem pakar untuk mendeteksi kerusakan sepeda motor 4-tak menggunakan metode forward chaining berbasis web dapat digunakan untuk membantu mekanik dalam menangani permasalahan yang berkaitan dengan sepeda motor dan juga dapat digunakan sebagai sumber pengetahuan mengenai hal-hal yang berhubungan dengan sepeda motor 4-tak seperti gejala kerusakan sepeda motor 4-tak, penyebabnya serta solusi untuk mengatasinya.  Abstract Most rider tend to give motorcycles to mechanics without knowing that the damage is simple or too complicated to repair. To handle these problems then needed an expert system that is able to analyze, find and provide solutions. The ability of a motorcycle mechanic can be implemented into an expert system. Data related to 4-stroke motorcycle damage were analyzed and then processed using forward chaining expert system method. The model of knowledge representation used in expert systems is based on the rules of production. System design is done using the help of starUML application. Expert systems are created using the PHP programming language and MySQL database so as to generate an expert system to detect 4-stroke motorcycle damage using web-based forward chaining method. Based on the results of tests and experiments that have been done show that the expert system to detect the damage 4-stroke motorcycle is not working properly. The expert system for detecting 4-stroke motorcycle damage using a web-based forward chaining method can be used to assist mechanics in dealing with motorcycle-related issues and can also be used as a source of knowledge on matters relating to 4-stroke motorcycles such as symptoms 4-stroke motorcycle damage, its causes and solutions to overcome them.     

scholarly journals SISTEM PAKAR UNTUK MENGIDENTIFIKASI PENYAKIT MATA DENGAN METODE CERTAINTY FACTOR

Kilat ◽  
2019 ◽  
Vol 8 (1) ◽  
Author(s):  
Eka Putra ◽  
Budi Prayitno ◽  
Yessy Asri ◽  
Andi Dahroni
Keyword(s):  
Expert System ◽  
Expert Systems ◽  
Rare Disease ◽  
Inference Engine ◽  
Eye Diseases ◽  
Eye Disease ◽  
Certainty Factor ◽  
Ministry Of Health ◽  
Web Based ◽  
Computer Based

Eye disease today is no longer a rare disease suffered by humans. Many symptoms encountered makes people become confused if the types of eye diseases from which they suffer. Type of eye disease that often affects people of Indonesia according to the Ministry of Health is conjunctivitis, Pterygium, Cataract and Glaucoma. It's no secret if in a meeting with the ophthalmologist will cost not less. Expert systems are computer-based systems that use knowledge, facts and reasoning techniques in solving problems that normally can only be solved by an expert in the field. Forward chaining inference engine used in this study to chronicling the symptoms are inconclusive, then the certainty factor method so that we can determine what percentage of the disease in the suffering of patients through the results of the count in the method. Application web-based expert system created to provide information to people with eye disease illness is entered in accordance with the symptoms.

A Mobile Phone-Based Expert System for Disease Diagnosis

2013 ◽  
pp. 220-235 ◽  
Author(s):  
Olufemi Moses Oyelami
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Mobile Phone ◽  
Mobile Phones ◽  
Computer Literacy ◽  
Disease Diagnosis ◽  
Machine Intelligence ◽  
Web Based ◽  
The World

Medicine is one of the areas that has benefited from the use of artificial intelligence since the advent of machine intelligence. Different expert systems for diagnosing diseases have been developed; however, they are either standalone or Web-based systems. This puts a vast majority of Africans in general and Nigerians in particular at a disadvantage, because of computer literacy, accessibility, and usage are very low in this region of the world. Recent advances in the capabilities of mobile phones and increased usage, however, have opened up new opportunities for innovative and complex applications that can be accessed via mobile phones. This chapter presents a disease diagnosis system that can be accessed via mobile phones to cater to the needs of the vast majority of users in places where healthcare is inadequate.

scholarly journals Design of the expert system to analyze disease in Plant Teak using Forward Chaining

2017 ◽  
Vol 1 (1) ◽  
pp. 11
Author(s):  
Poningsih Poningsih
Keyword(s):  
Artificial Intelligence ◽  
Expert System ◽  
Expert Systems ◽  
Economic Value ◽  
Disease Diagnosis ◽  
High Quality ◽  
Web Based ◽  
Community Forests ◽  
Forward Chaining ◽  
Teak Wood

Teak is one kind of plant that is already widely known and developed by the wider community in the form of plantations and community forests. This is because until now Teak wood is a commodity of luxury, high quality, the price is expensive, and high economic value. Expert systems are a part of the method sciences artificial intelligence to make an application program disease diagnosis teak computerized seek to replace and mimic the reasoning process of an expert or experts in solving the problem specification that can be said to be a duplicate from an expert because science knowledge is stored inside a database  Expert System for the diagnosis of disease teak using forward chaining method aims to explore the characteristics shown in the form of questions in order to diagnose the disease teak with web-based software. Device keel expert system can recognize the disease after consulting identity by answering some of the questions presented by the application of expert systems and can infer some kind of disease in plants teak. Data disease known customize rules (rules) are made to match the characteristics of teak disease and provide treatment solutions.

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