Designing an Expert System for Internet Connection Problems Troubleshooting for wired network users

Authors

  • Reza Radfar (Advisor) Associate Professor, Industrial Management Department, Islamic Azad University, Science and Research Branch, Tehran, Iran
Abstract:

Man, is living in an era that the knowledge is estimated to be doubled in a relatively short time. The fast rate of technology's growth in the "Century of information", is caused by fast growth of communication technologies like the internet which has become one of the best tools for a quick, cheap, effective and vastly supported communication. For an efficient and effective usage of tools and different advantages of the internet, its users are to be able to stay connected to it in an efficient way and have less losses of connection. In order to reduce the time and duration of unwanted losses of connection, it is needed to act on diagnosing and fixing the ongoing problem(s) as fast as possible. Since today's telecommunication and computer communication have become full of varieties and complications, designing and running a system that can help the network professionals or the users in case of such problems taking place, is much appreciated or even necessary. According to the abilities of rule-based expert systems, one of the best solutions for this matter, is to run an expert system in order to fix internet communication problems that is done by a full-time resident human expert.

Upgrade to premium to download articles

Sign up to access the full text

Already have an account?login

similar resources

DANTES: An Expert System for Real-Time Network Troubleshooting

Today's computer networks are large and complex. Their dayto-day operation and maintenance can benefit from the support of an expert system, mainly as an aid in troubleshooting. Network troubleshooting has characteristics, like incomplete data, high rate of events, simultaneous presence of several problems, which raise interesting problems in the development of an expert system. DANTES is an ex...

full text

Designing an expert system for differential diagnosis of β-Thalassemia minor and Iron-Deficiency anemia using neural network

Introduction: Artificial neural networks are a type of systems that use very complex technologies and non-algorithmic solutions for problem solving. These characteristics make them suitable for various medical applications. This study set out to investigate the application of artificial neural networks for differential diagnosis of thalassemia minor and iron-deficiency anemia. Methods: It is...

full text

Designing an expert system to advise the IT students' Master's degree for course selection

In the university educational system, students, depending on their different conditions, need guidance to choose the best courses and the best curriculum during a semester. Lack of sufficient information about class hours, exam interactions, prerequisites for each course, variety of instructors and other conditions may lead to a wrong choice and confusion of students. In this research, an exper...

full text

Designing an Expert System for Credit Rating of Real Customers of Banks Using Fuzzy Neural Networks

Currently, in Iran's banking system, non-repayment of facilities has become one of the biggest issues, and due to the lack of a proper system for proper allocation of facilities, they face a number of problems, including the problem of allocation of loans, the problem of failure to repay loans Of the central bank, or the amount of facilities increased from the amount of reimbursement. The solut...

full text

My Resources

Save resource for easier access later

Save to my library Already added to my library

{@ msg_add @}


Journal title

volume 4  issue 2

pages  476- 488

publication date 2015-12-01

By following a journal you will be notified via email when a new issue of this journal is published.

Hosted on Doprax cloud platform doprax.com

copyright © 2015-2023