scholarly journals Access Channel Selection for WLAN using Fuzzy Expert System

2018 ◽  
Vol 7 (3.7) ◽  
pp. 34
Author(s):  
Bakeel Maqhat ◽  
Mohd Dani Baba ◽  
Ruhani Ab Rahman ◽  
Anwar Saif
Keyword(s):  
Expert System ◽  
Fuzzy Expert System ◽  
Network Scheduling ◽  
System Utilization ◽  
Scheduling Scheme ◽  
Access Channel ◽  
802.11 Wlan ◽  
Simulation Results ◽  
Selection For

The tremendous increase in user demands for multimedia applications with its various quality of service (QoS) requirements has become essential for the operators to accommodate the demand for real-time services in IEEE 802.11 WLAN network. Scheduling mechanism is one of the challenging issues still open for research to fully support the various QoS requirements. In this paper, scheduling scheme is proposed to manage the channel access parameter between competitive nodes. An embedded fuzzy expert system is used to dynamically allocation these parameters to the competitive stations. The simulation results show that the proposed algorithm manages to optimize the overall system utilization.  

Efficient Channel Utilization and Prioritization Scheme for Emergency Calls in Cellular Network

2014 ◽  
Vol 3 (3) ◽  
pp. 56-69
Author(s):  
K. N. Rama Mohan Babu ◽  
K.N. Balasubramanya Murthy ◽  
G.V. Pavithra ◽  
K.R Mamatha
Keyword(s):  
Cellular Networks ◽  
Cellular Network ◽  
Channel Utilization ◽  
Scheduling Scheme ◽  
Emergency Calls ◽  
Probabilistic Scheduling ◽  
Simulation Results ◽  
Prioritization Scheme ◽  
Better Than

Handling of emergency calls in wireless cellular networks is one of the major issues. The main objective here is to improve quality of service by efficient channel utilization. In this paper, a new scheme called probabilistic emergency prioritization scheme (PEPS) is proposed which provides highest priority for emergency calls. The proposed method minimizes the dropping or blocking of emergency calls even if the number of emergency calls are more than 25% of the calls. Monte Carlo simulation results show that the proposed scheme works better than the existing adaptive probabilistic scheduling scheme (APS).

Monitoring Quality of Components by Fuzzy Control Principle

1998 ◽  
Vol 05 (02) ◽  
pp. 133-145
Author(s):  
Henry Lau
Keyword(s):  
Expert System ◽  
Fuzzy Control ◽  
Fuzzy Inference ◽  
Dimensional Accuracy ◽  
Boolean Logic ◽  
Fuzzy Expert System ◽  
Fuzzy Variables ◽  
Plastic Parts ◽  
Control Principle

A fuzzy expert system uses fuzzy logic control,1 which is based on a "superset" of Boolean logic that has been extended to handle the concept of "partial truth." It replaces mathematical models with models that are built from a number of rules with fuzzy variables such as output temperature, and fuzzy terms such as extremely hot, fairly cold. A fuzzy expert system has been implemented in a plastic moulding shop in Australia for monitoring dimensional quality of output products. Because these plastic parts are used as assembly components for production of gear boxes, their dimensional accuracy is of utmost importance. This paper presents the implementation of this monitoring system adopting a graphical and non-mathematical approach, and examines the application of fuzzy control systems in quality control. Practical examples with descriptions of how the fuzzy rules are shown and the operations of the fuzzy inference engine are covered.

scholarly journals Web based fuzzy diagnosis system and evaluation for five diseases with sort throat symptom

2015 ◽  
Vol 37 ◽  
pp. 239
Author(s):  
Sadaf Anbarzadeh ◽  
Hossein Davari
Keyword(s):  
Expert System ◽  
Health Care Professionals ◽  
Human Action ◽  
Disease Diagnosis ◽  
Fuzzy Expert System ◽  
Web Based ◽  
Throat Symptom ◽  
Long Time ◽  
Fuzzy Diagnosis

Automatic disease diagnosis has been human concern for a long time. Since people are so busy and the doctors visit expenses areso expensive, a lot of different attempts have been done in the field of design of expert system for disease diagnosis. This paper describes aproject work aiming to develop a web based fuzzy expert system for human disease diagnosis. This program models the thinking pattern andhuman activity and leads to close the expert system and human action method. In this paper we have consulted with different physicians andanalyzed the diagnosis procedure and modeled them with a fuzzy expert system. This project is based on development of a web-based clinicaltool designed to improve the quality of the exchange of health information between health care professionals and patients . This system hasbeen tested on five diseases with sort throat symptom such as mononucleosis, scarlet fever, pharyngitis or tonsillitis, common cold and virusinfection and exhibited satisfactory results.

Application of fuzzy logic to quality assessment of infrastructure projects at conceptual cost estimating stage

2010 ◽  
Vol 37 (8) ◽  
pp. 1137-1147 ◽  
Author(s):  
Aminah Robinson Fayek ◽  
Jose Ruben Rodriguez Flores
Keyword(s):  
Expert System ◽  
Cost Model ◽  
Project Planning ◽  
Cost Ratio ◽  
Fuzzy Expert System ◽  
Infrastructure Projects ◽  
Cost Estimating ◽  
Design Deficiencies ◽  
Made In

This paper describes a model to assess the quality of infrastructure projects at the conceptual cost estimating stage based on the extent to which a project exhibits the ideal relationships between the quantities and costs of each of its components, compared to an ideal project that meets the requirements of an organization. The output of the model is a quality score that can be used to compare a project against others in an organization. The model is intended for use by organizations in the project planning phase to help identify potential scope and (or) design deficiencies. A fuzzy expert system is used to model the relationships between the physical characteristics of a project and the expected quality using a cost ratio comparison between an ideal project (i.e., a cost model) and the project being compared. The fuzzy expert system provides the advantage of allowing assessments to be made in linguistic terms, which suits the way in which experts express themselves and captures heuristic knowledge of the experts in assessing the quality of a project at the conceptual cost estimating stage.

An image analysis based expert system for assessing the quality of freeze-dried protein formulations

2012 ◽  
Author(s):  
Jukka Rantanen ◽  
Hjalte Trnka ◽  
Jian Wu ◽  
Marco van de Weert ◽  
Holger Grohganz
Keyword(s):  
Image Analysis ◽  
Expert System ◽  
Protein Formulations ◽  
Freeze Dried

A FUZZY EXPERT SYSTEM FOR SOLVING REAL-OPTION DECISION PROCESSES

2001 ◽  
Vol 06 (02) ◽  
Author(s):  
C.A Magni ◽  
G. Mastroleo ◽  
G. Facchinetti
Keyword(s):  
Expert System ◽  
Real Option ◽  
Decision Processes ◽  
Fuzzy Expert System
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