1. Removing High Density Impulse Noise Via a Novel Two Phase Method Using Fuzzy Cellular Automata

Mohammad Mehdi Piroozmandan; Fardad Farokhi; Kaveh Kangarloo; Mohsen Jahanshahi

Articles in Press, Accepted Manuscript, Available Online from 18 August 2021

  In this paper, a novel method named RHDINTPM (Removing High Density Impulse Noise via a Novel Two Phase Method) is proposed for de-noising digital images corrupted by impulse noise. The proposed method is based on cellular automata (CA) and fuzzy cellular automata (FCA). In this method, a given image ...  Read More

2. A New Clustering Approach for Efficient Placement of Controllers in SDN using Firefly Algorithm

Azam Amin; Mohsen Jahanshahi; Mohammadreza Meybodi

Volume 10, Issue 03 , Summer 2021, , Pages 169-175

  In Software Defined Network (SDN), controller plane is separated from the data plane simplifying management. In these networks, data forwarding cannot be conducted just one controller. Therefore, it is needed to use multiple controllers in control plane. Since, switch-controller propagation delays and ...  Read More

3. Load Frequency Control in Power Systems Using Multi Objective Genetic Algorithm & Fuzzy Sliding Mode Control

M. Khosraviani; M. Jahanshahi; M. Farahani; A.R. Zare Bidaki

Volume 05, Issue 01 , Winter 2016, , Pages 31-42

  This study proposes a combination of a fuzzy sliding mode controller (FSMC) with integral-proportion-Derivative switching surface based superconducting magnetic energy storage (SMES) and PID tuned by a multi-objective optimization algorithm to solve the load frequency control in power systems. The goal ...  Read More

4. Velocity Control of Electro Hydraulic Servo System by Tracking Method

Mohammad Reza Asadi Asad Abad; Amir Reza Zare Bidaki; Mohsen Jahanshahi

Volume 03, Issue 01 , Winter 2014, , Pages 1-6

  This paper proposes an efficient Tracking method for velocity control of an electro-hydraulic servo system (EHSS) in the presence of flow nonlinearities and internal friction. The tracking method controller is a kind of feedback error learning structure. In the proposed method, the Feedback Error Learning ...  Read More

5. Optimizing the Event-based Method of Localization in Wireless Sensor Networks

Mohsen Jahanshahi; Abdolvahed Moradpour; Poorya Kiani

Volume 02, Issue 4 , Autumn 2013, , Pages 223-230

  A Wireless Sensor Network (WSN) is a wireless decentralized structure network consists of many nodes. Nodes can be fixed or mobile. WSN applications typically observe some physical phenomenon through sampling of the environment so determine the location of events is an important issue in WSN. Wireless ...  Read More

6. A Novel Model for Bus Stop Location Appropriate for Public Transit Network Design: The Case of Central Business Districts (CBD) of Tehran

Majid Jahani; S. Mehdi Hashemi; Mehdi Ghatee; Mohsen Jahanshahi

Volume 02, Issue 3 , Summer 2013, , Pages 133-141

  In this paper, a novel multi-objective bus stop location model is proposed, which considers not only the coverage of demand and minimization of access time but also the necessities of suitable stops for transit network design phase. Three objective functions are considered including minimizing (I) sum ...  Read More

7. An Efficient Cluster Head Selection Algorithm for Wireless Sensor Networks Using Fuzzy Inference Systems

Mohsen Jahanshahi; Shaban Rahmani; Shaghayegh Ghaderi

Volume 02, Issue 2 , Spring 2013, , Pages 121-125

  An efficient cluster head selection algorithm in wireless sensor networks is proposed in this paper. The implementation of the proposed algorithm can improve energy which allows the structured representation of a network topology. According to the residual energy, number of the neighbors, and the centrality ...  Read More

8. Robust Model for Networked Control System with Packet Loss

Mohsen Jahanshahi; Sayyid Mohsen Houshyar; Amir Reza Zare Bidaki3

Volume 02, Issue 1 , Winter 2013, , Pages 33-37

  The Networked Control System in modern control widely uses to decrease the implementation cost and increasing the performance. NCS in addition to its advantages is inevitable. Nevertheless they suffer of some limitations and deficiencies. Packet loss is one of the main limitations which affect the control ...  Read More

9. Predicting the Next State of Traffic by Data Mining Classification Techniques

S.Mehdi Hashemi; Mehrdad Almasi; Roozbeh Ebrazi; Mohsen Jahanshahi

Volume 01, Issue 03 , Summer 2012, , Pages 181-193

  Traffic prediction systems can play an essential role in intelligent transportation systems (ITS). Prediction and patterns comprehensibility of traffic characteristic parameters such as average speed, flow, and travel time could be beneficiary both in advanced traveler information systems (ATIS) and ...  Read More