Mohammad Reza Soltan Aghaei; Zuriati Ahmad Zukarnain
Volume 6, Issue 3 , September 2012
Abstract
The focus of this study is on developing a framework for a Quantum Algorithm Processing Unit (QAPU) with the hybrid architecture for classical-quantum algorithms. The framework is used to increase the implementation performance of quantum algorithms and design Quantum Processing Units (QPU). The framework ...
Read More
The focus of this study is on developing a framework for a Quantum Algorithm Processing Unit (QAPU) with the hybrid architecture for classical-quantum algorithms. The framework is used to increase the implementation performance of quantum algorithms and design Quantum Processing Units (QPU). The framework shows a general plan for the architecture of quantum processors who is capable of run the quantum algorithms. In particular, the QAPU can be used as a quantum node to design a quantum multicomputer. At first, the hybrid architecture is designed for the quantum algorithms. Then, the relationship between the classical and the quantum part of hybrid algorithms is extracted, and main stages of the hybrid algorithm are developed. Next, the framework of the QAPU is designed. Furthermore, the framework is implemented and simulated for the existing quantum algorithms on a classic computer. It is shown that the framework is appropriate for quantum algorithms.
Omid Mokhlessi; Seyed Hamid Zahiri; Nasser Mehrshad
Volume 6, Issue 3 , September 2012
Abstract
Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. Thus, already some fuzzy systems proposed to control the important structural ...
Read More
Since the search process of the particle swarm optimization (PSO) technique is non-linear and very complicated, it is hard if not impossible, to mathematically model the search process and dynamically adjust the PSO parameters. Thus, already some fuzzy systems proposed to control the important structural parameters of basic PSO. However, in those researches no effort were reported for optimizing the structural parameters of the designed fuzzy controller. In this paper, a new algorithm called Fuzzy Optimum PSO (FOPSO) has been introduced. FOPSO utilizes two optimized fuzzy systems for optimal controlling the main parameters of basic PSO. Extensive experimental results on many benchmark functions with different dimensions show that the powerfulness and effectiveness of the proposed FOPSO outperforms other versions of PSO.
Mahmud Solihin; Chockalingam Vaithilingam; Rini Akmeliawati
Volume 6, Issue 3 , September 2012
Abstract
Design of a robust controller via single objective constrained optimization using differential evolution (DE) is presented in this paper. A set robust feedback controller gain is optimized based on plant’s linear model having structured parametric uncertainty such that the closed-loop system would ...
Read More
Design of a robust controller via single objective constrained optimization using differential evolution (DE) is presented in this paper. A set robust feedback controller gain is optimized based on plant’s linear model having structured parametric uncertainty such that the closed-loop system would have the maximum stability radius. A wedge region is assigned as the optimization constraint to specify the desired closed-loop poles location which is directly related to the desired time-domain response. The proposed controller design is applied to a two-mass system which is known as the benchmark problem for robust controller design. The simulation results show that the robustness performance is achieved in the presence of parameter variations of the plant. The proposed controller performs than the conventional LQR (linear quadratic regulator) controller.
Hossein Hosseini; Behruz Tousi
Volume 6, Issue 3 , September 2012
Abstract
The growing requirement to the clean and renewable energy has led to the rapid development of wind power systems all over the world. With increasing use of wind power in power systems, impact of the wind generators on sub-synchronous resonance (SSR) is going more important. The SSR is a well-known phenomenon ...
Read More
The growing requirement to the clean and renewable energy has led to the rapid development of wind power systems all over the world. With increasing use of wind power in power systems, impact of the wind generators on sub-synchronous resonance (SSR) is going more important. The SSR is a well-known phenomenon in a series compensated power systems which can be mitigated with series or parallel flexible ac transmission systems (FACTS) devices. In this paper, wind turbines and steam turbines have been used as a hybrid energy production system. For damping the SSR, thyristor controlled series capacitor (TCSC) as a series FACT devise and unified power flow controller (UPFC) as a series-parallel FACT device have been used. In order to have an optimal control on pitch angle in high speed of wind, a novel method using imperialist competitive algorithm (ICA) has been used. Furthermore, supplementary controllers for UPFC and TCSC have been design and adaptive neuro fuzzy inference system (ANFIS) and fuzzy logic damping controllers (FLDC) are added to these FACTS devises to mitigate the SSR. Finally, the results of two FACTS devises have been compared. Furthermore, the results obtained from imperialist competitive algorithm (ICA) are compared with PID controller optimized by Particle Swarm Optimization (PSO) algorithm.
Maryam Bahramgiri; Ali Abedini; Alireza Siadatan
Volume 6, Issue 3 , September 2012
Abstract
This paper analyzes the behavior of a Permanent Magnet Synchronous Generator (PMSG) wind turbine using the maximum power extraction (MPE) method in response to wind speed fluctuations. The behavior of the wind turbine in the frequency domain will be analyzed to have the wind turbine response in ...
Read More
This paper analyzes the behavior of a Permanent Magnet Synchronous Generator (PMSG) wind turbine using the maximum power extraction (MPE) method in response to wind speed fluctuations. The behavior of the wind turbine in the frequency domain will be analyzed to have the wind turbine response in the frequency domain. By combining the wind speed frequency content and wind turbine frequency response, the frequency content of wind turbine output power fluctuation will be gained. A PMSG wind turbine system is simulated with real wind speed data in the PSIM software environment, and the results are compared with theoretical results for validation of the model.
Ehsan Kargaran; Mohammad Javad Zavarei; Nahid Fatahi; Seyedeh Sara Hassani; Khalil Mafinezhad; Hooman Nabovati
Volume 6, Issue 3 , September 2012
Abstract
Design and simulation results of fully integrated 5-GHz CMOS LNAs are presented in this paper. Three different input impedance matching techniques are considered. Using a simple L-C network, the parasitic input resistance of a MOSFET is converted to a 50 Ω resistance. As it is analytically proven, that ...
Read More
Design and simulation results of fully integrated 5-GHz CMOS LNAs are presented in this paper. Three different input impedance matching techniques are considered. Using a simple L-C network, the parasitic input resistance of a MOSFET is converted to a 50 Ω resistance. As it is analytically proven, that is because the former methods enhance the gain of the LNA by a factor that is inversely proportional to MOSFET’s input resistance. The effect of each input impedance matching on the amplifier’s noise figure and gain is discussed. By employing the folded cascode configuration, these LNAs can operate at a reduced supply voltage and thus lower power consumption. To address the issue of nonlinearity in design of low voltage LNAs, a new linearization technique is employed. As a result, the IIP3 is improved extensively without sacrificing other parameters. These LNAs consume 1.3 mW power under a 0.6 V supply voltage.
Smt Padma; Kanchapogu Vaisakh
Volume 6, Issue 3 , September 2012
Abstract
This paper incorporates the SSSC FACTS device in optimal power flow solutions to enhance the performance of the power systems. The particle swarm optimization is used for solving the optimal power flow problem for steady-state studies. The effectiveness of the proposed approach was tested on IEEE 14-bus ...
Read More
This paper incorporates the SSSC FACTS device in optimal power flow solutions to enhance the performance of the power systems. The particle swarm optimization is used for solving the optimal power flow problem for steady-state studies. The effectiveness of the proposed approach was tested on IEEE 14-bus and IEEE 30-bus systems with SSSC FACTS device. Results show that the proposed PSO algorithm gives better solution to enhance the system performance with SSSC device compared to without SSSC device. SSSC FACTS裝置性能採用基於PSO最優潮流解決方案分析摘要本文整合了最優潮流的解決方案SSSC FACTS裝置，以提高電力系統的性能。粒子群算法用於解決最優潮流問題穩態研究。該方法的有效性IEEE14節點和SSSC FACTS裝置IEEE-30總線系統上進行測試。結果表明，所提出的PSO算法提供了更好的解決方案，以加強與SSSC設備的系統性能相比沒有SSSC設備。
Jafar Roshanian; Shabnam Yazdani; Masoud Ebrahimi
Volume 6, Issue 3 , September 2012
Abstract
Non-Dimensional star pattern recognition uses planar angles as its recognition feature. This feature is independent of image focal length and optical axis offset. However, this independency doesn’t mean that the algorithm conserves its robustness in presence of any type of errors. These errors arise ...
Read More
Non-Dimensional star pattern recognition uses planar angles as its recognition feature. This feature is independent of image focal length and optical axis offset. However, this independency doesn’t mean that the algorithm conserves its robustness in presence of any type of errors. These errors arise from poor hardware calibration and software inaccuracy that causes the angles to differ from their true amounts stored in the database. In order to evaluate the effect of angle differences on algorithm performance, overall disposition of bright point centers is modeled. The monte-carlo simulation method is then used to evaluate the algorithm’s performance for different amounts of error. Results demonstrate that 0.1 pixel size error is admissible in conserve the trade-off between desired update frequency, hardware accuracy and algorithm’s robustness.對於典型的星盈無量綱星模式識別魯棒性研究摘要無量綱星圖識別使用平面的角度作為其識別功能。此功能是獨立的圖像焦距和光軸偏移。然而，這種獨立性並不意味著該算法節省其魯棒性的任何類型的錯誤的存在。從差硬件校準和軟件不精確導致該角度從存儲在數據庫中的真實量不同出現這些錯誤。為了評估對算法性能的角度差異的影響，亮點中心的整體配置為藍本。然後蒙特卡羅仿真方法用於評估算法對不同量的誤差的性能。結果表明，0.1像素尺寸誤差在養護所需的更新頻率，硬件精度和算法的魯棒性之間的權衡受理。
Mohsen Ashourian; Hossein Khalili; Payman Moallem
Volume 6, Issue 3 , September 2012
Abstract
In this paper, we propose a multiple description video coding system for robust transmission of video signal. We split the video frames into odd and even frames, and encode each frame separately based on JPEG standard. We assume that each description is transmitted in through WCDMA physical layer that ...
Read More
In this paper, we propose a multiple description video coding system for robust transmission of video signal. We split the video frames into odd and even frames, and encode each frame separately based on JPEG standard. We assume that each description is transmitted in through WCDMA physical layer that used in UMTS. The channel is simulated based on Gilbert/Elliot’s model. We compare the result in threes cases: Video is reconstructed using only one description; video is reconstructed using both descriptions and finally video is reconstructed based on both description, and we do error concealment as well. The video quality is reported based on average peak signal to noise ratio for all cases for video sequences.多描述編碼的Motion JPEG視頻傳輸的UMTS摘要在本文中，我們提出了視頻信號的傳輸強勁的多描述視頻編碼系統。我們分割視頻幀分成奇數和偶數幀，並編碼分別基於JPEG標準每幀。我們假設每個描述是通過在UMTS WCDMA使用的物理層傳輸英寸該頻道是基於吉爾伯特/埃利奧特的模型來模擬。我們比較三五成群的情況下，結果：視頻僅使用一個描述重建;視頻使用重建都說明，最後顯卡基於兩個描述重建，而我們做的錯誤隱藏為好。視頻質量是基於平均峰值信號為所有的情況下對視頻序列信噪比報告。
