ORIGINAL_ARTICLE
The New Method for Optical Channel Drop Filter with High Quality Factor Based on Triangular Photonic Crystal Design
We have designed a new type of optical channel drop filter (CDF) based on two dimensionaltriangular lattice photonic crystals. CDF operation is based on coupling to the photonic crystalwaveguide. The proposed structure is optimized to work as a CDF for obtaining the CDFcharacteristics and band structure of the filter the finite difference time domain (FDTD) method andplane wave expansion (PWE) method are used respectively. Dropping efficiency at 1550nm andquality factor (Q) of our proposed structure are 96.36 % and 282.7, respectively. The quantities
http://jaiee.iau-ahar.ac.ir/article_513175_688c69bc344f3ac7da41e7cac28ff01b.pdf
2013-08-01T11:23:20
2018-05-28T11:23:20
1
4
Channel drop filter
FDTD method
Photonic crystal
Wavelength
Abolfazl
Abbaspour
abbaspour.abolfazl@yahoo.com
true
1
AUTHOR
Hamed
Alipour Banaei
alipour@iaut.ac.ir
true
2
AUTHOR
alireza
andalib
andalib@iaut.ac.ir
true
3
AUTHOR
ORIGINAL_ARTICLE
A New Design of Photonic Crystal Filter and Power Splitter Based on Ring Resonators
Here, we propose an optical filter and an optical power splitter based on two-dimensionalphotonic crystal all circular ring resonators. These structures are made of a square lattice ofsilicon rods with the refractive index n1=3.464 surrounded by air (with refractive indexn2=1). First, we have designed the filter and by using that, we designed a power splitter. Thetransmission efficiency and Quality factor for both, an optical filter and an optical powersplitter, respectively, are more than 90% and 1000. Resonant modes of the all-circular ringresonator with their corresponding degenerated poles and the transmission spectra arecalculated using the PWE, and 2D-FDTD methods respectively.
http://jaiee.iau-ahar.ac.ir/article_513176_88d0736069bb5eb192898a1456875fa7.pdf
2013-08-01T11:23:20
2018-05-28T11:23:20
5
8
Filter
Photonic crystal
power splitter
Ring resonator
Reza
Ghavidel Barsary
rezaghavidelbarsary@yahoo.com
true
1
AUTHOR
Alireza
Andalib
andalib@iaut.ac.ir
true
2
AUTHOR
Hamed
Alipour-Banaei
h_alipour@tabrizu.ac.ir
true
3
AUTHOR
ORIGINAL_ARTICLE
Modeling a Bank ATM with Two Directions Places Timed Petri Net (TPN)
A Bank ATM is including controller, card authorization system and a teller unit .This paper explains howthis parts connects together. In this paper will be used of a new mode place in Petri nets. More systemsusually have a complex constructs. ATM will be simulated use of new mode place at this study. The Mainpart of this model is used of T.S.Staines model [1]. We discuss how a simple model of T.S.Staines modelbe used for new model in this study. At this work will be added money teller unit that was discussed inT.S.Staines model. Each main components of the system are identified and built using Petri Nets. Thefinal Model is live and exhibits repetitive, consistent behavior. The work presented here is continue of lastwork and can be further developed.
http://jaiee.iau-ahar.ac.ir/article_513177_d3af1d5c8b490bf2eab637ba3b668dc0.pdf
2013-08-01T11:23:20
2018-05-28T11:23:20
9
16
nasrin
fatholahzadeh
n-fatholahzadeh@iau-ahar.ac.ir
true
1
AUTHOR
ORIGINAL_ARTICLE
Lead-Lag Controllers Coefficients Tuning to Control Fuel Cell Based on PSO Algorithm
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
One of the most important Fuel cells (FCs) is Proton Exchange Membrane Fuel Cells (PEMFCs). The outputvoltage of this FC depends on current loads. This paper tries to introduce, implement and control the voltage ofPEMFC, during load variations. The output voltage of fuel cell should be constant during load variation. Toachieve this goal, a controller should be designed. Here, the Lead-Lag controller is used which its coefficientsare optimized based on PSO algorithms. In order to use this algorithm, first this problem has to be formulatedas an optimization problem, including objective function and constraints, and then to obtain the most desirablecontroller, PSO method is used to solve the problem. Simulation results for various loads in the time domain areperformed and the results show the capability of the proposed controller. Simulations show the accuracy of theproposed controller performance to achieve this goal.
http://jaiee.iau-ahar.ac.ir/article_513178_e5aaff1dff60f0d07e2c0e4a580d65e2.pdf
2013-08-01T11:23:20
2018-05-28T11:23:20
17
24
PEMFC
Fuel cell
Controller Sesign
PSO algorithm
Noraddin
Ghadimi
noradin1364@gmail.com
true
1
AUTHOR
ORIGINAL_ARTICLE
Temperature Effect on THz Quantum Cascade Lasers
A simple semi-phenomenological model, which accurately predicts the dependence of thresholdcurrent for temperature of Resonant-phonon three well quantum cascade laser based on verticaltransitions is offered. We found that, the longitude optical phonon scattering of thermally excitedelectrons is the most important limiting factor for thermal performance of high frequency THz QCLs.In low frequency region, parasitic current increases the threshold current. Based on our model the useof materials with higher longitude optical phonon energy such as InGaAs/GaAsSb and decreasing thelower laser level lifetime can increase the maximum performance temperature. Our observations maycan be used to understand the notion of the effects of thermal electrons on reduction of laserperformance.
http://jaiee.iau-ahar.ac.ir/article_513179_1df6399eab5dbdd169649ff4cefeac32.pdf
2013-08-01T11:23:20
2018-05-28T11:23:20
26
32
Quantum cascade lasers
longitude optical phonon
intersubband transitions
Parasitic current
Aida
Gholami
aida_gholami1986@yahoo.com
true
1
AUTHOR
Hassan
Rasooly
h_rasooly_s@yahoo.com
true
2
AUTHOR
ORIGINAL_ARTICLE
Robust Method for E-Maximization and Hierarchical Clustering of Image Classification
We developed a new semi-supervised EM-like algorithm that is given the set of objects present in eachtraining image, but does not know which regions correspond to which objects. We have tested thealgorithm on a dataset of 860 hand-labeled color images using only color and texture features, and theresults show that our EM variant is able to break the symmetry in the initial solution. We compared twodifferent methods of combining different types of abstract regions, one that keeps them independent andone that intersects them. The intersection method had a higher performance as shown by the ROC curvesin our paper. We extended the EM-variant algorithm to model each object as a Gaussian mixture, and theEM-variant extension outperforms the original EM-variant on the image data set having generalizedlabels. Intersecting abstract regions was the winner in our experiments on combining two different typesof abstract regions. However, one issue is the tiny regions generated after intersection. The problem getsmore serious if more types of abstract regions are applied. Another issue is the correctness of doing so. Insome situations, it may be not appropriate to intersect abstract regions. For example, a line structureregion corresponding to a building will be broken into pieces if intersected with a color region. In futureworks, we attack these issues with two phase approach classification problem.
http://jaiee.iau-ahar.ac.ir/article_513180_d41d8cd98f00b204e9800998ecf8427e.pdf
2013-08-01T11:23:20
2018-05-28T11:23:20
33
44
Algorithm
Models
Mixture
Segmentation
Shahin
Shafei
shahin_shafei1987@yahoo.com
true
1
AUTHOR
Tohid
Sedghi
sedghi.tohid@gmail.com
true
2
AUTHOR
ORIGINAL_ARTICLE
Ultra Wideband Fabric-Based Slot Antenna on Human Body for Medical Application
In this paper a new UWB textile slot antenna has been designed with high precision. This work aimed to makecloser steps towards real wearability by investigating the possibilities of designing wearable UWB antenna wheretextile materials are used for the substrate as well as the conducting parts of the designed antenna. The antenna iscomposed of three textile layers: the top and bottom are conducting layers and the third layer is a textile dielectriclayer and sandwiched between these two conducting layers. The developed antenna offers flexible, light-weight andbendable properties, and can be easily incorporated into clothing using a simple iron-on adhesive process. The irononprocess allows for the fabric to be washed without losing its adhesion. The antenna shows better than 13 dB returnloss and peak gain 5±2 dB over FCC UWB from 3.1 to 10.6 GHz. The antenna’s overall size is 5mm×5mm.
http://jaiee.iau-ahar.ac.ir/article_513181_bcea2bf631e2844d68213432e229c5d6.pdf
2013-08-01T11:23:20
2018-05-28T11:23:20
44
48
fabric antenna
UWB
slot antenna
textile substrate
medical application
Roya
Heidari
royaheydari90@yahoo.com
true
1
AUTHOR
Robab
Kazemi
true
2
AUTHOR
ORIGINAL_ARTICLE
Modified Harmony Search Algorithm Based Unit Commitment with Plug-in Hybrid Electric Vehicles
Plug-in Hybrid Electric Vehicles (PHEV) technology shows great interest in the recent scientificliteratures. Vehicle-to-grid (V2G) is a interconnection of energy storage of PHEVs and grid. Byimplementation of V2G dependencies of the power system on small expensive conventional units canbe reduced, resulting in reduced operational cost. This paper represents an intelligent unitcommitment (UC) with V2G optimization based on Modified Harmony Search Algorithm (MHSA).MHSA was conceptualized using the musical process of searching for a perfect state of harmony, justas the optimization process seeks to find a global solution that is determined by an objective function.Intelligent UC with V2G optimization in power system is presented in this paper. Since the number ofPHEV in V2G is relatively high, UC with V2G optimization problem is more complex than the basicUC.A case study based on conventional 10-unit test system is conducted to facilitate the effectiveness ofthe proposed method. Results show a significant amount of cost reduction with integration of V2G inUC problem. Comparison of the results with those obtained by Particle Swarm Optimization showsthe effectiveness of the proposed method.
http://jaiee.iau-ahar.ac.ir/article_513182_af33228474e854da9e1b36092303a0fe.pdf
2013-08-01T11:23:20
2018-05-28T11:23:20
49
62
Unit Commitment (UC)
Vehicle-to-Grid (V2G)
Improved Harmony Search Algorithm
Plug-in Hybrid Electric Vehicle (PHEV)
Oveis
Abedinia
true
1
AUTHOR
ali
Ghasemi
true
2
AUTHOR
Noradin
Ghadimi
ghadimi.noradin@gmail.com
true
3
AUTHOR