Ahar Branch,Islamic Azad University, Ahar,Iran
Journal of Artificial Intelligence in Electrical Engineering
2345-4652
1
4
2013
03
01
Secret Information Steganography Using LSB Insertion Methodwithout Bit Layout Section with Increasing Substitution Rate and High Reliability
1
8
EN
Farhad
Narimani
f-narimani @iau-ahar.ac.ir
Mohammad Esmaeel
Akbari
makbari@tabrizu.ac.ir
Hamid
Vahdati
h_vahdaty@yahoo.com
In this paper, a faster method for embedding cryptographic information in the image ispresented by expressing the concept of latent prints (Steganography). Data is encrypted bytwo methods before embedding to increase reliability. Then they are embedded into the imageby a button, a method has been expressed to reduce potential noise impact on the wayinformation is encoded.
Substitution,Steganography,Cryptography,LSB
http://jaiee.iau-ahar.ac.ir/article_513268.html
http://jaiee.iau-ahar.ac.ir/article_513268_e3dadd7de8800b8ded291d581d34c62f.pdf
Ahar Branch,Islamic Azad University, Ahar,Iran
Journal of Artificial Intelligence in Electrical Engineering
2345-4652
1
4
2013
03
01
Improvement of Left Ventricular Assist Device (LVAD) in Artificial Heart Using Particle Swarm Optimization
9
15
EN
Majid
Neshat Yazdi
m-neshat@iau-ahar.ac.ir
Reihaneh
Kardehi Moghaddam
r_k_moghaddam@mshdiau.ac.ir
In this approach, the Left ventricular assist pump for patients with left ventricular failure isused. The failure of the left ventricle is the most common heart disease during these days. Inthis article, a State feedback controller method is used to optimize the efficiency of a samplingpump current. Particle Swarm Algorithm, which is a set of rules to update the position andvelocity, is applied to find the optimal State feedback controller parameters for the first time.In comparison to other optimization algorithms, including genetic algorithm, PSO has higherconvergence speed. As it is shown in the simulation part in the same number of iterations, thePSO algorithm decreases the cost function, which leads to desired transient and stabilityresponse of the system more effectively. In addition, in this work we propose a new structurefor the cost function which includes the dynamical equations of current sampling pump incombination with penalty sentences which decrease the speed and output fluctuations. In thisarticle, the system model and the system controlling parameters are set in such a way that theproposed cost function can be optimized. The efficiency of the method is illustrated insimulation part.
Current sample,Optimization,Overshoot,PSO,Settling time,Stability
http://jaiee.iau-ahar.ac.ir/article_513269.html
http://jaiee.iau-ahar.ac.ir/article_513269_58c7c5dd4919722b08f0abc026ad58cc.pdf
Ahar Branch,Islamic Azad University, Ahar,Iran
Journal of Artificial Intelligence in Electrical Engineering
2345-4652
1
4
2013
03
01
Formation Control and Path Planning of Two Robots for Tracking a Moving Target
16
22
EN
This paper addresses the dynamic path planning for two mobile robots in unknownenvironment with obstacle avoidance and moving target tracking. These robots must form atriangle with moving target. The algorithm is composed of two parts. The first part of thealgorithm used for formation planning of the robots and a moving target. It generates thedesired position for the robots for the next step. The second part is designed as the pathplanning for mobile robots. In this part desired trajectory of the robots for reaching thedesired position of formation is generated. The potential field method is used to pathplanning for the robots .This method enables the robot to achieve these tasks: to avoidobstacles, and to make ones way toward its new position. Finally, the effectiveness of theproposed algorithm is demonstrated through simulations.
Path planning,Mobile robot,potential field,moving object tracking
http://jaiee.iau-ahar.ac.ir/article_513270.html
http://jaiee.iau-ahar.ac.ir/article_513270_104eff786e5ea4fbc15f83e419089099.pdf
Ahar Branch,Islamic Azad University, Ahar,Iran
Journal of Artificial Intelligence in Electrical Engineering
2345-4652
1
4
2013
03
01
Assessment of DSACC and QPART Algorithms in Ad Hoc Networks
23
28
EN
The rapid advancement in wireless over wired has augmented the need for improving theQuality of Service (QoS) over such wireless links. However, the wireless ad hoc networkshave too low bandwidth, and establishing a QoS in these networks is a difficult issue. So,support of quality of service in ad hoc networks is the topical issue among the networkscience researchers. In this research we are going to evaluate the performances of DSACC(Distributed Scheduling algorithm with Collision Control) and QPART (QoS protocol for Adhoc Real Time Traffic) algorithms in different conditions. These two algorithms are able tosupport quality of service in ad hoc networks. It should be noted that we have used ns-2simulator software to compare these two algorithms.
Ad Hoc,Quality of service,Scheduling,Distributed
http://jaiee.iau-ahar.ac.ir/article_513271.html
http://jaiee.iau-ahar.ac.ir/article_513271_a743c9f9a75f2343a5b5468946060df0.pdf
Ahar Branch,Islamic Azad University, Ahar,Iran
Journal of Artificial Intelligence in Electrical Engineering
2345-4652
1
4
2013
03
01
Soft Switching MBC Controller for MIMO Linear Hybrid Systems
29
36
EN
Switching supervisory is the most important section of a feedback control process inMIMO hybrid systems. By choosing a non-compatible controller, system may go tounstable mode or high overshoot response. In this paper, a new method of switchingfor selecting MBC controllers is discussed. Results of the simulation show the MIMO(2-in 2-out) linear hybrid system can be switched stable and low overshooting inswitching time. This method can be expanded to nonlinear MIMO systems.
http://jaiee.iau-ahar.ac.ir/article_513272.html
http://jaiee.iau-ahar.ac.ir/article_513272_f2443442264ee4fe605899249a577ab1.pdf
Ahar Branch,Islamic Azad University, Ahar,Iran
Journal of Artificial Intelligence in Electrical Engineering
2345-4652
1
4
2013
03
01
Petri Net Modeling for Parallel Bank ATM Systems
37
43
EN
In this paper the real time operation of an automatic teller machine (ATM) is analyzed using aTimed Petri Net (TPN) model. In the modeling, the probability of arrivals, the speed andattentiveness of customers (clients) are taken to account. Different parameters are based onthe statistical data. The model is simulated for 24 hours. The diagrams of number ofsucceeded customers, failed references to ATM, idle times of ATM and wait times ofcustomers are the outputs of TPN model.
TPN model - ATM - Petri
http://jaiee.iau-ahar.ac.ir/article_513280.html
http://jaiee.iau-ahar.ac.ir/article_513280_bf708fb3938dc0faa81ac9f815e88133.pdf
Ahar Branch,Islamic Azad University, Ahar,Iran
Journal of Artificial Intelligence in Electrical Engineering
2345-4652
1
4
2013
03
01
Rotated Unscented Kalman Filter for Two State Nonlinear Systems
44
48
EN
In the several past years, Extended Kalman Filter (EKF) and Unscented Kalman Filter (UKF) havebecame basic algorithm for state-variables and parameters estimation of discrete nonlinear systems.The UKF has consistently outperformed for estimation. Sometimes least estimation error doesn't yieldwith UKF for the most nonlinear systems. In this paper, we use a new approach for a two variablestate nonlinear systems which it is called Rotated UKF (R_UKF). R_UKF can be reduced estimationerror and reached for least error in state estimation.
Extended kalman filter (EKF),unscented kalman filter (UKF),rotated UKF (R-UKF)
http://jaiee.iau-ahar.ac.ir/article_513281.html
http://jaiee.iau-ahar.ac.ir/article_513281_cd12a128646a129d504fa22f0e70d218.pdf
Ahar Branch,Islamic Azad University, Ahar,Iran
Journal of Artificial Intelligence in Electrical Engineering
2345-4652
1
4
2013
03
01
A New Approach of Backbone Topology Design Used by Combination of GA and PSO Algorithms
49
57
EN
A number of algorithms based on the evolutionary processing have been proposed forcommunication networks backbone such as Genetic Algorithm (GA). However, there has beenlittle work on the SWARM optimization algorithms such as Particle Swarm Optimization(PSO) for backbone topology design. In this paper, the performance of PSO on GA isdiscussed and a new algorithm as PSOGA is proposed for the network topology design. Thesimulations for specific examples show that the performance of the new algorithm is betterthan other common methods.
backbone,cost,Genetic Algorithm,Network Topology design,PSO algorithm,SWARM intelligence
http://jaiee.iau-ahar.ac.ir/article_513282.html
http://jaiee.iau-ahar.ac.ir/article_513282_d41d8cd98f00b204e9800998ecf8427e.pdf