OTHERS_CITABLE
Two Novel Chaos-Based Algorithms for Image and Video Watermarking
In this paper we introduce two innovative image and video watermarking
algorithms. The paper’s main emphasis is on the use of chaotic maps to boost the
algorithms’ security and resistance against attacks. By encrypting the watermark
information in a one dimensional chaotic map, we make the extraction of watermark for
potential attackers very hard. In another approach, we select embedding positions by a two
dimensional chaotic map which enables us to satisfactorily distribute watermark
information throughout the host signal. This prevents concentration of watermark data in a
corner of the host signal which effectively saves it from being a target for attacks that
include cropping of the signal. The simulation results demonstrate that the proposed
schemes are quite resistant to many kinds of attacks which commonly threaten
watermarking algorithms.
http://ijeee.iust.ac.ir/article-1-478-en.pdf
2013-05-25
97
107
Chaotic Maps
Resistance
Security
Watermarking
Wavelet Transform
S.
Mohammadi
mohammadi_0313@yahoo.com
1
University of Kerman
AUTHOR
S.
Talebi
siamak.talebi@uk.ac.ir
2
University of Kerman
AUTHOR
A.
Hakimi
3
University of Kerman
AUTHOR
OTHERS_CITABLE
Bilateral Weighted Fuzzy C-Means Clustering
Nowadays, the Fuzzy C-Means method has become one of the most popular
clustering methods based on minimization of a criterion function. However, the
performance of this clustering algorithm may be significantly degraded in the presence of
noise. This paper presents a robust clustering algorithm called Bilateral Weighted Fuzzy CMeans
(BWFCM). We used a new objective function that uses some kinds of weights for
reducing the effect of noises in clustering. Experimental results using, two artificial
datasets, five real datasets, viz., Iris, Cancer, Wine, Glass and a speech corpus used in a
GMM-based speaker identification task show that compared to three well-known clustering
algorithms, namely, the Fuzzy Possibilistic C-Means, Credibilistic Fuzzy C-Means and
Density Weighted Fuzzy C-Means, our approach is less sensitive to outliers and noises and
has an acceptable computational complexity.
http://ijeee.iust.ac.ir/article-1-419-en.pdf
2013-05-25
108
121
Fuzzy Clustering
Fuzzy Possibilistic C-Means
Credibilistic Fuzzy C-Means
Density Weighted Fuzzy C-Means
A. H.
Hadjahmadi
hadjahmadi@vru.ac.ir
1
Vali-e-Asr University of Rafsanjan. Iran
AUTHOR
M. M.
Homayounpour
homayoun@aut.ac.ir
2
Amirkabir University of Tehran, Iran
AUTHOR
M.
Ahadi
sma@aut.ac.ir
3
Amirkabir University of Tehran, Iran
AUTHOR
OTHERS_CITABLE
Design of a Photonic Bandgap Fiber with Optimized Parameters to Achieve Ultra-Low Confinement Loss
In this paper, a novel design of all-solid photonic bandgap fiber with ultra-low
confinement loss is proposed. The confinement loss is reduced remarkably by managing the
number of rods rings, up-doping level, pitch value, and rods diameters. Moreover, the
designed PCF shows ultra-flattened dispersion in L- and U-band. Furthermore, a new
design, based on introducing of an extra ring of air holes on the outside of the all-solid
bandgap structure, is then proposed and characterized. We demonstrate that it significantly
reduces the fiber diameter to achieve negligible confinement loss. The validation of the
proposed design is carried out by employing a two dimensional finite difference frequency
domain with perfectly matched layers.
http://ijeee.iust.ac.ir/article-1-356-en.pdf
2013-05-25
122
128
Confinement Loss
Dispersion
Finite Difference Frequency Domain
Photonic Bandgap Fiber
Up-Doping
M.
Aliramezani
m_ramezani83@yahoo.com
1
Department of Electrical Engineering, Iran University of Science and Technology
AUTHOR
Sh.
Mohammad Nejad
Shahramm@iust.ac.ir
2
Department of Electrical Engineering, Iran University of Science and Technology
AUTHOR
OTHERS_CITABLE
Cancellation of Series-Loss Resistance in UWB Active Inductors using RC Feedback
One of the most important features of the Active Inductors (AIs) is their input
equivalent resistance, namely series-loss resistance, which should be low enough to have a
high Quality Factor (QF). Most of the previous methods by this goal did not yield a high
enough QF. This paper presents a new method, namely applying an RC feedback, to cancel
series-loss resistance entirely. As the RC feedback cancels series-loss resistance, it
enhances the Self-Resonant Frequency (SRF) as well. The SRF of the AI has a range as
high as 0.25-12.5 GHz. Compared to the previous reports, the QF has been improved by
applying the RC feedback. The structure is such that the QF can be adjusted independent of
the SRF. For example, a very high quality factor of 13159 at the frequency of 6.6 GHz with
a 2.2 nH inductance is obtained, while noise voltage and power dissipation are less than 4.6
nV Hz and 4 mW, respectively. The AI is designed and simulated using 90 nm CMOS
process and 1.2 V power supply. To the best of authors’ knowledge, this is the first time an
RC feedback has been implemented to cancel series-loss resistance.
http://ijeee.iust.ac.ir/article-1-473-en.pdf
2013-05-25
129
137
Active Inductor
High Quality Factor
Low Power Consumption
RC Feedback
Single-Ended
Zero Series-Loss Resistance
M.
Rafei
rafei@elec.iust.ac.ir
1
Department of Electrical Engineering, Iran University of Science and Technology
AUTHOR
M. R.
Mosavi
m_mosavi@iust.ac.ir
2
Department of Electrical Engineering, Iran University of Science and Technology
AUTHOR
REVIEW_ARTICLE
A Comparative Study on Predictive and ISVM Direct Torque Control Methods for a Doubly Fed Induction Machine Fed by an Indirect Matrix Converter
This paper presents a comparative study on the Predictive Direct Torque Control
method and the Indirect Space Vector Modulation Direct Torque Control method for a
Doubly-Fed Induction Machine (DFIM) which its rotor is fed by an Indirect Matrix
Converter (IMC). In Conventional DTC technique, good transient and steady-state
performances are achieved but it presents a non constant switching frequency behavior and
non desirable torque ripples. However, in this paper by using the proposed methods, a fixed
switching frequency is obtained. In this model Doubly-Fed Induction Machine is connected
to the grid by the stator and the rotor is fed by an Indirect Matrix Converter. Functionally
this converter is very similar to the Direct Matrix Converter, but it has separate line and
load bridges. In the inverter stage, the Predictive method and ISVM method are employed.
In the rectifier stage, in order to reduce losses caused by snubber circuits, the rectifier fourstep
commutation method is employed. A comparative study between the Predictive DTC
and ISVM-DTC is performed by simulating these control systems in
MATLAB/SIMULINK software environments and the obtained results are presented and
verified.
http://ijeee.iust.ac.ir/article-1-364-en.pdf
2013-05-25
138
145
Direct Torque Control
Indirect Matrix Converter
Indirect Space Vector Modulation
Predictive DTC
D.
Arab Khaburi
khaburi@iust.ac.ir
1
Electrical Engineering Department, Iran University of Science and Technology (IUST)
AUTHOR
OTHERS_CITABLE
Automatic Phase Advancing in a Stand-Alone Switched Reluctance Generator at Different High Speeds for Desired Output Voltage
The switched reluctance motor is a singly excited, doubly salient machine which
can be used in generation mode by selecting the proper firing angles of the phases. Due to
its robustness, it has the potential and the ability to become one the generators to be used in
harsh environment. This paper presents an energy conversion by a Switched Reluctance
Generator (SRG) when bifilar converter circuit and discrete position sensors are employed.
As the generator’s speed increases by a prime mover the shape of current waveform
changes in such a way that limits the production of generating voltage. At high speeds, it is
possible for the phase current never reaches the desired value to produce enough back-emf
for sufficient voltage generation, therefore, the output power falls off. In order to remedy
this problem, the phase turn on angle is advanced in a way that the phase commutation
begins sooner. Since one of the advantages of this type of generator is its variable speed
then, the amount of advancing for the turn on angle should be accomplished automatically
to obtain the desired output voltage according to the speed of the generator, meaning, as the
generator speed increases so should the turn on angle and vice versa. In this respect, this
paper introduces an electronic circuit in conjunction with the position sensors and the drive
converter to achieve this task for a desired output voltage when a SRG feeding a resistive
load. To evaluate the generator performance, two types of analysis, namely numerical
technique and experimental studies have been utilized on a 6 by 4, 30 V, SRG. In the
numerical analysis, due to highly non-linear nature of the motor, a three dimensional finite
element analysis is employed, whereas in the experimental study, a proto-type generator
and its circuitries have been built and tested using bifilar converter. A linear analysis of the
current waveform for the generator under different advancements of the turn on angle has
been performed numerically and experimentally and the results are presented.
http://ijeee.iust.ac.ir/article-1-422-en.pdf
2013-05-25
146
153
SRG
Switched Reluctance Generator & Control
Phase Advancing
SRG
amp
control
phase advancing and SRG
E.
Afjei
afjei@yahoo.com
1
Shahid Beheshti University
AUTHOR
OTHERS_CITABLE
Electricity Procurement for Large Consumers with Second Order Stochastic Dominance Constraints
This paper presents a decision making approach for mid-term scheduling of large
industrial consumers based on the recently introduced class of Stochastic Dominance (SD)-
constrained stochastic programming. In this study, the electricity price in the pool as well as
the rate of availability (unavailability) of the generating unit (forced outage rate) is
considered as uncertain parameters. The self-scheduling problem is formulated as a
stochastic programming problem with SSD constraints by generating appropriate scenarios
for pool price and self-generation unit's forced outage rate. Furthermore, while most
approaches optimize the cost subject to an assumed demand profile, our method enforces
the electricity consumption to follow an optimum profile for mid-term time scheduling, i.e.
three months (12 weeks), so that the total production will remain constant.
http://ijeee.iust.ac.ir/article-1-442-en.pdf
2013-05-25
154
163
Electricity Procurement for Large Consumers
Second Order Stochastic Dominance
Decision Making
Uncertainty
M.
Zarif
zarif.mahdi@ieee.org
1
ferdowsi university of mashhad
AUTHOR
M. H.
Javidi
2
ferdowsi university of mashhad
AUTHOR
S.
Ghazizadeh
3
University of - Power and Water University of Technology
AUTHOR
OTHERS_CITABLE
Strategic Bidding in a Pool-Based Electricity Market under Load Forecast Uncertainty
This paper proposes a method for determining the price bidding strategies of
market participants consisting of Generation Companies (GENCOs) and Distribution
Companies (DISCOs) in a day-ahead electricity market, while taking into consideration the
load forecast uncertainty and demand response programs. The proposed algorithm tries to
find a Pareto optimal point for a risk neutral participant in the market. Because of the
complexity of the problem a stochastic method is used. In the proposed method, two
approaches are used simultaneously. First approach is Fuzzy Genetic Algorithm for finding
the best bidding strategies of market players, and another one is Mont-Carlo Method that
models the uncertainty of load in price determining algorithm. It is demonstrated that with
considering transmission flow constraints in the problem, load uncertainty can considerably
influences the profits of companies and so using the second part of the proposed algorithm
will be useful in such situation. It is also illustrated when there are no transmission flow
constraints, the effect of load uncertainty can be modeled without using a stochastic model.
The algorithm is finally tested on an 8 bus system.
http://ijeee.iust.ac.ir/article-1-415-en.pdf
2013-05-25
164
176
Electricity Market
Bidding Strategy
Game Theory
Genetic Algorithm
Fuzzy Sets
Mont-Carlo Simulation
Sh.
Gorgizadeh
Shahnam_gorgi@yahoo.com
1
Semnan University
AUTHOR
A.
Akbari Foroud
aakbari@semnan.ac.ir
2
Semnan University
AUTHOR
M.
Amirahmadi
Meisam_amirahmadi@yahoo.com
3
Semnan University
AUTHOR
OTHERS_CITABLE
Solving Environmental/Economic Power Dispatch Problem by a Trust Region Based Augmented Lagrangian Method
This paper proposes a Trust-Region Based Augmented Method (TRALM) to
solve a combined Environmental and Economic Power Dispatch (EEPD) problem. The
EEPD problem is a multi-objective problem with competing and non-commensurable
objectives. The TRALM produces a set of non-dominated Pareto optimal solutions for the
problem. Fuzzy set theory is employed to extract a compromise non-dominated solution.
The proposed algorithm is applied to the standard IEEE 30 bus six-generator test system.
Comparison of TRALM results with the various algorithms, reported in the literature shows
that the solutions of the proposed algorithm are very accurate for the EEPD problem.
http://ijeee.iust.ac.ir/article-1-413-en.pdf
2013-05-25
177
187
Environmental and economic power dispatch
Fuzzy Set Theory
Trust-Region Augmented Lagrangian Method
H.
Mohammadian Bishe
hbmohammadian@yahoo.com
1
Mazandaran University of Science and Technology
AUTHOR
A.
Rahimi Kian
arkian@ut.ac.ir
2
University of Tehran
AUTHOR
M.
Sayyed Esfahani
msesfahani@aut.ac.ir
3
Amir Kabir University
AUTHOR
OTHERS_CITABLE
A Comparison Between Electrical Circuit and Finite Element Modeling Methods for Performance Analysis of a Three-Phase Induction Motor under Voltage Unbalance
Induction motor is the most popular load in the industry, it is very important to
study about the effects of voltage quality on induction motor performance. One of the most
important voltage quality problems in power system is voltage unbalance. This paper
evaluates and compares two methods including finite element method (FEM) and
equivalent electrical circuit simulation for investigation of the effects of voltage unbalance
conditions on the performance of a three- phase induction motor. For this purpose, a threephase
squirrel cage induction motor is simulated using Finite Element Method and
equivalent electrical circuit parameters of the FEM model is estimated by genetic
algorithm. Then, some unbalanced voltages are applied on the FEM model of the Motor
and the resulted power and losses are compared with calculated values using equivalent
electrical circuit simulation in same voltage conditions.
http://ijeee.iust.ac.ir/article-1-426-en.pdf
2013-10-01
188
194
Three-Phase Induction Motor
Finite Element Method
Genetic Algorithm
VUF
Unbalanced Voltage
A.
Ebadi
a.ebadi@stu.nit.ac.ir
1
Department of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran
AUTHOR
M.
Mirzaie
mirzaie@nit.ac.ir
2
Department of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran
AUTHOR
A.
Gholamian
gholamian@nit.ac.ir
3
Department of Electrical and Computer Engineering, Babol University of Technology, Babol, Iran
AUTHOR