Islamic Azad University, South Tehran Branch
Signal Processing and Renewable Energy
2588-7327
2588-7335
2
1
2018
03
01
Resource Allocation in Volunteer Computing Networks Based on Node Reliability
1
8
EN
Jafar
Khakpour
Kharazmi University
Mir Mohsen
Pedram
Department of Electrical &amp; Computer Engineering, Faculty of Engineering, Kharazmi University,
pedram@khu.ac.ir
Volunteer Computing is a special distributed computational architecture as composed of a network of volunteer computational units connected to each other and organized to perform some specific tasks. These networks are distributed in large networks or even vast geographical areas. Rather than lower communication capabilities in these networks, resource management capabilities are limited than compared with other types of computational networks. In this research, we tried to model resource allocation, in these networks considering such limitations in these networks. We put node reliability in this the model as a factor of how much we can rely on a node to complete an assigned task on a specified time and assign one task to multiple nodes in parallel to increase probability of completing task. We model this problem as an economic model to decrease costs and increase revenue on the network based on each tasks priority.
Volunteer Computing,Desktop Grids,Resource Management,Grid Resource Reliability,Distributed Computing
http://spre.azad.ac.ir/article_539002.html
http://spre.azad.ac.ir/article_539002_d45441b19c3fd514fd95250446f47e96.pdf
Islamic Azad University, South Tehran Branch
Signal Processing and Renewable Energy
2588-7327
2588-7335
2
1
2018
03
01
A New Algorithm (C2-ESPRIT) to Estimate the Direction None Coherent Narrowband Signals with High Resolution and Low Sample Size
9
14
EN
Saeed
Kahfi
South Tehran Branch
Mansour
Nejati Jahromi
Department of Electrical Engineering, Shahid Sattary Aeronautical University of Science and Technology, Tehran, Iran
nejati@aut.ac.ir
Golamreza
Bagherian
School of Electrical and Computer Engineering, College of Engineering, University of Tehran, Tehran, Iran
This paper introduces a new algorithm named C2-ESPRIT to estimate the direction of narrow band signals which are not coherent. The new technique estimates direction of arrival (DOA) by dividing the received signals into two sub-array and performing sub-array processing where a new diagonal matrix is obtained. As the elements of this matrix are associated with the main angles of arrival signals, it can be used to estimate the DOA of signals. The main idea in this paper is how the signalâ€™s sub-array are obtained and a processing method is used. Unlike the two algorithms named ESPRIT and C-SPRIT, where the result of processing the signals were a diagonal matrix and diagonal conjugated matrix, in C2-ESPRIT it may appears in the form of the square conjugate diagonal matrix. The advantages of this method compared to ESPRIT and C-SPRIT, are the reduction of the variance, high resolution and requirement of fewer samples in the receiver. MATLAB is used to compare and verify new C2-ESPRIT algorithm efficiency with three known algorithms: Root-Music, ESPRIT and C-SPRIT.
band signal,none coherent,subspace,DOA estimation,coherent signal
http://spre.azad.ac.ir/article_539003.html
http://spre.azad.ac.ir/article_539003_cb15628b80843f712212a134ceabd1e7.pdf
Islamic Azad University, South Tehran Branch
Signal Processing and Renewable Energy
2588-7327
2588-7335
2
1
2018
03
01
Analog Circuit Complementary Optimization Based on Evolutionary Algorithms and Artificial Neural Network
15
26
EN
Behzad
Rajabi
Dept. Electrical Eng., South Tehran Branch, Islamic Azad University, Tehran, Iran.
behzad93r@yahoo.com
Farhad
Razaghian
Dept. Electrical Eng., South Tehran Branch,Islamic Azad University
razaghian@azad.ac.ir
In analog circuit optimization, obtaining optimal point that can satisfy various kinds of specifications is posed as goal of design. Utilization of evolutionary algorithms was introduced as a useful method but speed of convergence and ensure to access optimal point are these method most challenges. In this paper the Multi-Layer Perceptron (MLP) artificial neural network is applied to access the suitable point appropriate different specifications values of analog circuit. This point used in optimization algorithm to find reliable response. Neural network itself is trained by training database is collected during initial optimization process. The link of HSPICE and MATLAB is used for circuit simulation and evaluation during the process.
Analog circuit,Evolutionary algorithm optimization,Cost function,Multi-Layer Perceptron Neural network
http://spre.azad.ac.ir/article_539004.html
http://spre.azad.ac.ir/article_539004_b6d1eac6973f10e439d36d860f18221f.pdf
Islamic Azad University, South Tehran Branch
Signal Processing and Renewable Energy
2588-7327
2588-7335
2
1
2018
03
01
Study on the Material of the Inside Ring Coupler in a Loop Plasma Antenna with Circular Coupler
27
32
EN
Samineh
Sarbazi Golazari
South Tehran Branch, Islamic Azad University
sm_srb1989@yahoo.com
Nasrin
Amiri
0000-0001-5657-639X
South Tehran Branch, Islamic Azad University
n_amiri@azad.ac.ir
Farrokh
Hojjat Kashani
University of Science and Technology
kashani@iust.ac.ir
Plasma antennas are radio frequency antennas that use ionized gas instead of metal conducting element of conventional antenna to transmit and receive signals. In this paper, the effect of changing material of the inside coupler on bandwidth, return loss and radiation pattern at Ultra High Frequency (UHF) band is investigated. It is demonstrated that the resonant frequency can be adjusted by choosing proper material for internal coupler without changing the antenna size and structure. The antenna and its coupler is simulated by practical software Computer Simulation Technology (CST) Microwave Studio.
Plasma antenna,Radiation pattern,Return loss,UHF
http://spre.azad.ac.ir/article_539001.html
http://spre.azad.ac.ir/article_539001_e57a35c2654640dc97652590b62d1b57.pdf
Islamic Azad University, South Tehran Branch
Signal Processing and Renewable Energy
2588-7327
2588-7335
2
1
2018
03
01
Designing and Optimization of Hybrid Solar and Wind Turbine, with Superconducting Magnetic Energy Storage, by TLBO Algorithm
33
40
EN
Farshid
Biria
Islamic azad university of yazd
farshidbiriya@gmail.com
Mahmoud
Modaresi
0000-0003-1020-1554
Faculty of Electrical Engineering, Islamic Azad University South Tehran Branch, Tehran, Iran
m_modaresi@azad.ac.ir
Hamid Reza
Akbari
Islamic azad university of yazd
h.akbari@iauyazd.ac.ir
Considering the outstanding use of renewable energy sources, most of industrial countries secure a main part of their required energy from renewable energy resources. Solar panels and wind turbines are the most important sources for the scattered production based on Renewable energies. In this study the optimized design of a solar panel, wind turbine hybrid system with superconductive magnetic energy storage (SMES), separated from network, to provide for the load demand of a military site is considered. The aim of a system optimization is specifying the number of solar panels, wind turbines, and SMESs with minimizing the cost of system's energy production. In hybrid systems, due to fluctuations in energy production of solar panels and wind turbines, accumulation systems are used in order to provide for a perpetual load. This system is also used to minimize annual costs of energy production for a system of load demand of a military site with the use of TLBO algorithm on a basis of teach-learn is being studied.
Wind turbine,Solar Panel,Superconducting Magnetic Energy Storage (SMES),TLBO Algorithm
http://spre.azad.ac.ir/article_539005.html
http://spre.azad.ac.ir/article_539005_ef7155108f9f6ea37892cace8c9e42f5.pdf
Islamic Azad University, South Tehran Branch
Signal Processing and Renewable Energy
2588-7327
2588-7335
2
1
2018
03
01
Application of Valuation Model in Iranian Electricity Distribution Companies
41
47
EN
Hassan
Siahkali
Islamic Azad University, South Tehran Branch,
Engineering Faculty
h_siahkali@azad.ac.ir
Donia
Mahabadi
Student
donia.mahabadi@gmail.com
One of the main concerns of power system restructuring in developing countries is to divest the asset to private sector. This divestment for electricity distribution companies is more critical and has a vital role in the electricity supply chain because of vicinity to customer. This paper applies the valuation approach for electricity distribution companies. For valuation of the companies, Discounted Cash Flow (DCF) model is used and Terminal Value (TV) model is applied to forecast future costs and incomes of companies in a stable manner. Systematic risks of these companies are taken into account by using Capital Asset Pricing Model (CAPM). Five Iranian electricity distribution companies are selected and considered technically and economically to obtain their valuations. As a result, these companies are ranked based on their valuations and technical factors.
Valuation Approach,Terminal Value,Free Cash Flow to Firm,Discounted Cash Flow
http://spre.azad.ac.ir/article_539006.html
http://spre.azad.ac.ir/article_539006_9b2a202d4413768d0646867244813ea2.pdf