Software Engineering and Information Systems
1. Chaotic dynamic analysis and nonlinear control of blood glucose regulation system in type 1 diabetic patients

Saeid Khajehvand; Seyed Mahdi Abtahi

Volume 5, Issue 2 , Spring 2019, , Pages 81-92

  In this paper, chaotic dynamic and nonlinear control in a glucose-insulin system in types I diabetic patients and a healthy person have been investigated. Chaotic analysis methods of the blood glucose system include Lyapunov exponent and power spectral density based on the time series derived from the ...  Read More

Pattern Analysis and Intelligent Systems
2. Coastal Water Level Prediction Model Using Adaptive Neuro-fuzzy Inference System


Volume 5, Issue 1 , Winter 2019, , Pages 11-18

  This paper employs Adaptive Neuro-Fuzzy Inference System (ANFIS) to predict water level that leads to flood in coastal areas. ANFIS combines the verbal power of fuzzy logic and numerical power of neural network for its action. Meteorological and astronomical data of Santa Monica, a coastal area in California, ...  Read More

Pattern Analysis and Intelligent Systems
3. Decentralized Fuzzy-PID Based Control Model for a Multivariable Liquid Level System

Olatunji Hezekiah Adigun

Volume 4, Issue 4 , Autumn 2018, , Pages 247-254

  Multivariable liquid level control is essential in process industries to ensure quality of the product and safety of the equipment. However, the significant problems of the control system include excessive time consumption and percentage overshoot, which result from ineffective performance of the tuning ...  Read More

4. Type-2 Fuzzy Logic Approach To Increase The Accuracy Of Software Development Effort Estimation

Zahra Barati; Mahdi Jafari Shahbazzadeh; Vahid Khatibi Bardsiri

Volume 2, Issue 4 , Autumn 2016, , Pages 9-16

  predicting the effort of a successful project has been a major problem for software engineers the significance of which has led to extensive investigation in this area. One of the main objectives of software engineering society is the development of useful models to predict the costs of software product ...  Read More

Computer Networks and Distributed Systems
5. Topology Control in Wireless Sensor Network using Fuzzy Logic

Samaneh Nazari Dastjerdi; Hamid Haj Seyyad Javadi

Volume 1, Issue 2 , Spring 2015, , Pages 39-44

  Network sensors consist of sensor nodes in which every node covers a limited area. The most common use ofthese networks is in unreachable fields.Sink is a node that collects data from other nodes.One of the main challenges in these networks is the limitation of nodes battery (power supply). Therefore, ...  Read More