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A centralized cooperative power control algorithm for cognitive radio networks 认知无线网络的集中协同功率控制算法
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292586
A. Allahyari, M. Rashidpour, M. Rasti
In cognitive radio networks, coexistence of primary users (licensed users) and secondary users needs a power control algorithm employed by secondary users to avoid harmful interference and guarantee acceptable minimum signal-to-interference-plus-noise ratio (SINR) to the primary users. In this paper we present a centralized cooperative power control algorithm for cognitive radio networks in which a Central Base Station (CBS) collects secondary users' side-information and finds maximum number of secondary users who can achieve their target-SINRs while their total interference caused to primary users is kept bellow a given threshold. In our proposed algorithm each secondary user upon detecting a primary receiver estimates its location (distance and direction) with respect to the detected primary receivers and sends this side-information to the CBS. Assuming that, CBS knows locations of secondary users; CBS employ our proposed power control algorithm to find as many as possible secondary users who can coexist with primary users. Our simulation results show that complexity of our proposed algorithm is very low as compared to the exhaustive-search and it results in maximum number of supported secondary users (those who can reach their target-SINRs) keeping their total interference to primary users bellow a given threshold.
在认知无线网络中,当主用户(许可用户)和二次用户共存时,需要二次用户采用一种功率控制算法来避免有害干扰,并保证对主用户可接受的最小信噪比(SINR)。本文提出了一种用于认知无线网络的集中式协同功率控制算法,该算法中,中央基站(CBS)收集辅助用户的侧信息,并找到能够达到目标sinr的最大辅助用户数量,同时使其对主用户的总干扰保持在给定阈值以下。在我们提出的算法中,每个辅助用户在检测到主接收器后,根据检测到的主接收器估计其位置(距离和方向),并将此侧信息发送给CBS。假设CBS知道二级用户的位置;CBS采用我们提出的功率控制算法来寻找尽可能多的可以与主用户共存的辅助用户。我们的模拟结果表明,与穷举搜索相比,我们提出的算法的复杂性非常低,并且它导致支持的次要用户(能够达到目标sinr的用户)的最大数量,使它们对主要用户的总干扰低于给定阈值。
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引用次数: 3
A capacitance measurement system with milliwatt power and attofarad resolution 具有毫瓦功率和阿法拉分辨率的电容测量系统
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292365
A. Heidary, R. Taherkhani, G. Meijer
A capacitive measurement system with attofarad resolution is presented. The electronics setup consists of a capacitive sensor interface with period-modulated output and a microcontroller board with 70 MHz clock to read out the output period. The electronic interface which is based on a capacitance-to-voltage converter and a relaxation oscillator has been designed and implemented in 0.7 μm standard CMOS technology. The measured data is transferred to a computer via RS232 port and analyzed in a Labview program. The resolution of about 1.5 aF is achieved for a range of 1 pF and a measurement time of 1 s. The highest resolution which can be achieved is about 0.5 aF for a measurement time of about 10 s.
提出了一种具有阿法拉分辨率的电容式测量系统。电子装置包括一个具有周期调制输出的电容式传感器接口和一个带有70 MHz时钟的微控制器板,用于读出输出周期。采用0.7 μm标准CMOS技术设计并实现了基于电容-电压转换器和弛豫振荡器的电子接口。测量数据通过RS232端口传输到计算机,并在Labview程序中进行分析。分辨率约为1.5 aF,测量范围为1 pF,测量时间为1 s。在大约10秒的测量时间内,可以达到的最高分辨率约为0.5 aF。
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引用次数: 0
Extending fuzzy c-means to clustering data streams 将模糊c均值扩展到数据流聚类
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292449
S. Mostafavi, A. Amiri
A data stream is an ordered and continuous sequence of examples that can be examined only once. Data stream mining introduces new challenges compared to traditional mining algorithms. Fuzzy c-means (FCM) is a method of clustering in which a data point can assign to more than one cluster at the same time. In this paper we extend FCM algorithm to clustering data streams. Our performance experiments over KDD-CUP'99 data set show the efficiency of the algorithm.
数据流是一个有序和连续的示例序列,只能检查一次。与传统的挖掘算法相比,数据流挖掘带来了新的挑战。模糊c均值(FCM)是一种聚类方法,其中一个数据点可以同时分配给多个聚类。本文将FCM算法扩展到数据流聚类。在KDD-CUP'99数据集上的性能实验表明了该算法的有效性。
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引用次数: 7
Supervisory model predictive impedance control for human arm movement 人类手臂运动的监督模型预测阻抗控制
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292608
A. Falaki, F. Towhidkhah
Impedance control is described as the ability to modify characteristics of musculoskeletal impedance by the motor control system. This ability plays a significant role in posture control and fulfilling movements, in particular, at the presence of environmental disturbances. In addition, learning ability in human movement necessitates incorporating a type of model for environment and/or musculoskeletal system. In this study a fuzzy supervisory controller unit is suggested to coordinate impedance and model based control strategies. Results from computer simulations showed that both suitable impedance values and a proper internal model are required to fulfill movements similar to those of humans under different circumstances. This study showed that beside this modulation, the maximum motor learning may occur in direction with the least impedance and the most kinematic error. It also concluded that confronting abrupt changes in disturbance, the system managed to decrease error without learning the new dynamic using previous knowledge by supervisory system. A part of this compensation is due to stiffness variations and another part is due to decreasing the influence of model based controller.
阻抗控制被描述为通过运动控制系统来改变肌肉骨骼阻抗特性的能力。这种能力在姿势控制和完成运动中起着重要作用,特别是在环境干扰的情况下。此外,人类运动的学习能力需要结合一种环境和/或肌肉骨骼系统的模型。本研究提出一个模糊监控单元来协调阻抗和基于模型的控制策略。计算机模拟结果表明,在不同情况下,要实现与人类相似的运动,需要合适的阻抗值和合适的内部模型。这项研究表明,除了这种调制之外,最大的运动学习可能发生在阻抗最小和运动误差最大的方向上。研究还表明,面对突变的扰动,系统能够在不利用监控系统先前的知识学习新动态的情况下减小误差。这种补偿一部分是由于刚度的变化,另一部分是由于减少了基于模型的控制器的影响。
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引用次数: 1
A hybrid fingerprint matching algorithm using Delaunay triangulation and Voronoi diagram 一种基于Delaunay三角剖分和Voronoi图的混合指纹匹配算法
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292454
R. Soleymani, M. Amirani
A hybrid fingerprint matching framework is proposed in this paper that handles fingerprint distortions and has less computational complexity. For this purpose a dual part algorithm is proposed that processes the global matched fingerprints and local matched fingerprints individually. Two polygons are generated from the outer boundaries of the Delaunay triangulation of the fingerprints. Then, they are compared to determine whether the fingerprints are globally matched or not. If they are globally matched, the central Voronoi cells of fingerprints are compared and after that, the triangles and minutiae corresponding to the matched cells are analysed. If the fingerprints are not globally matched, they are compared locally. This part of the algorithm starts with random triangles from the input and the template fingerprints. If they are matched, the cells and minutiae corresponding to the matched triangles are compared. The algorithm continues processing till the number of matched triangles reaches a predetermined number, so that the fingerprints are reported as matched. The thresholds are dynamically selected according to the characteristics of the fingerprints. On the other hand, the features proposed in this manuscript are invariant to translation and rotation. The algorithm is evaluated on three different databases and the results indicate better performance than the previous methods.
本文提出了一种混合指纹匹配框架,该框架既能处理指纹失真,又能降低计算复杂度。为此,提出了一种双部分算法,分别对全局匹配指纹和局部匹配指纹进行处理。从指纹的德劳内三角剖分的外边界生成两个多边形。然后,将它们进行比较,以确定指纹是否全局匹配。如果它们是全局匹配的,则比较指纹的中心Voronoi细胞,然后分析匹配细胞对应的三角形和细节。如果指纹不是全局匹配,则进行局部比对。这部分算法从输入和模板指纹中的随机三角形开始。如果它们匹配,则比较匹配三角形对应的单元格和细节。算法继续处理,直到匹配的三角形数量达到预定数量,从而报告指纹匹配。阈值是根据指纹特征动态选择的。另一方面,本文提出的特征对平移和旋转是不变的。在三个不同的数据库上对该算法进行了评估,结果表明该算法比以前的方法性能更好。
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引用次数: 19
Font recognition using Variogram fractal dimension 基于变异函数分形维数的字体识别
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292432
A. Hajiannezhad, S. Mozaffari
This paper is dealing with font recognition problem in Farsi, Arabic, and English documents. It considers font recognition as texture identification task and the extracted features are independent of document content. The proposed method is based on one of the fractal dimension techniques which is called Variogram Analysis. The average recognition rates using RBF, and KNN classifiers are respectively %95.5, %96 for Farsi fonts, and % 96.9, %98.84 for Arabic fonts, and % 98.21, %99.6 for English fonts. The most important advantages of our algorithm are low feature dimensions, low computational complexity, and high speed compared with the previous efforts.
本文主要研究波斯语、阿拉伯语和英语文档的字体识别问题。它将字体识别视为纹理识别任务,提取的特征与文档内容无关。所提出的方法是基于一种分形维数技术,即方差分析。使用RBF和KNN分类器对波斯语字体的平均识别率分别为%95.5,%96,阿拉伯语字体的平均识别率为% 96.9,%98.84,英语字体的平均识别率为% 98.21,%99.6。与已有算法相比,该算法最大的优点是特征维数低、计算复杂度低、速度快。
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引用次数: 3
Dynamic response of quantum-dot semiconductor optical amplifiers electrical, optical, and electro-optical pumping schemes 量子点半导体光放大器的动态响应——电学、光学和电光泵浦方案
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292588
H. Taleb, K. Abedi, S. Golmohammadi
In this paper, a comparison is made between the gain response of a quantum-dot semiconductor optical amplifier (QD-SOA) under three different pumping schemes (optical, electrical, and electro-optical). We found that under equal pumping powers, the electrical pumping scheme is more efficient than optical and electro-optical ones. Simulation results show that the electrical pumping scheme not only provides a higher optical gain compared to two other schemes, but also reduces the gain recovery time of the QD-SOA. Furthermore, the practical implementation of electrical pumping scheme is much simpler than two other ones.
本文比较了量子点半导体光放大器(QD-SOA)在三种不同泵浦方案(光、电、光电)下的增益响应。我们发现,在相同的泵浦功率下,电泵浦方案比光泵浦方案和电光泵浦方案效率更高。仿真结果表明,与其他两种方案相比,电泵浦方案不仅提供了更高的光增益,而且还缩短了QD-SOA的增益恢复时间。此外,电泵方案的实际实施比其他两种方案简单得多。
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引用次数: 0
A new shunt active power filter based on indirect matrix converter 基于间接矩阵变换器的新型并联有源电力滤波器
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292423
A. A. Heris, E. Babaei, S. H. Hosseini
This paper proposes a new topology for active power filter (APF). In the proposed topology, the employment of an indirect matrix converter (IMC) as a part of shunt active filter has been investigated. Using the proposed IMC based APF, the dc link capacitor can be removed and also the average of dc link voltage can decrease in 1.5 times of the peak of source voltage. Furthermore, in this paper a new control method based on instantaneous power theory or P-Q theory and predictive current control for proposed APF is presented. In the proposed control method, there is no need to control the voltage of dc link and the average of voltage is always constant. Using PWM based control strategy, the injected harmonics will be produced around and more than switching frequency and the size of filters will be decreased. The simulation results obtained from PSCAD/EMTDC software confirm the validation of the proposed topology advantages and its control method.
提出了一种新的有源电力滤波器拓扑结构。在提出的拓扑结构中,研究了间接矩阵变换器(IMC)作为并联有源滤波器的一部分。采用基于IMC的有源滤波器,可以去除直流链路电容,使直流链路电压的平均值降低到源电压峰值的1.5倍。此外,本文还提出了一种基于瞬时功率理论或P-Q理论和预测电流控制的新型有源滤波器控制方法。在该控制方法中,不需要控制直流链路的电压,并且电压的平均值总是恒定的。采用基于PWM的控制策略,注入谐波产生于开关频率附近及以上,减小了滤波器的尺寸。在PSCAD/EMTDC软件上的仿真结果证实了所提出的拓扑优势及其控制方法的有效性。
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引用次数: 26
Two dimensional systolic adaptive DLMS FIR filters for image processing on FPGA 基于FPGA的二维收缩自适应DLMS FIR滤波器图像处理
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292361
H. Ariyadoost, Y. Kavian, K. Ansari-Asl
The aim of this paper is to hardware description and implementing of adaptive digital one- dimensional (1-D) and two-dimensional (2-D) Finite Impulse Response (FIR) filters on Field Programmable Gate Array (FPGA) technology. The 2-D adaptive filter is particularly employed for image processing applications and a typical adaptive image noise cancellation application is considered. The delayed least mean square (DLMS) algorithm is used for updating filter weights in dynamic unknown environments. Some cell processors consisting a tree based systolic architecture are employed for improving speed of proposed 2-D filter for noisy image processing. The VHDL hardware description language is employed for modeling and hardware description of different schemes of filtering applications. The obtained results from the QUARTUS II tool on STRATIX II EP2S15F484C3 chip from ALTERA Inc. demonstrate a satisfactory performance of 2-D adaptive FIR filter for image noise cancellation in some wellknown image test-bench.
本文的目的是在现场可编程门阵列(FPGA)技术上对自适应数字一维(1-D)和二维(2-D)有限脉冲响应(FIR)滤波器进行硬件描述和实现。二维自适应滤波器特别用于图像处理应用,并考虑了典型的自适应图像噪声消除应用。采用延迟最小均方(DLMS)算法更新动态未知环境下的滤波器权值。为了提高所提出的二维噪声图像滤波的处理速度,采用了基于树型收缩结构的单元处理器。采用VHDL硬件描述语言对过滤应用的不同方案进行建模和硬件描述。在ALTERA公司的STRATIX II EP2S15F484C3芯片上使用QUARTUS II工具获得的结果表明,二维自适应FIR滤波器在一些知名的图像试验台中具有令人满意的图像消噪性能。
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引用次数: 4
An improved quantum behaved gravitational search algorithm 一种改进的量子态引力搜索算法
Pub Date : 2012-05-15 DOI: 10.1109/IRANIANCEE.2012.6292446
M. Soleimanpour-moghadam, H. Nezamabadi-pour
Quantum-behaved Gravitational Search Algorithm (QGSA), a novel variant of GSA, is a global convergent algorithm whose search strategy makes it own stronger global search ability than classical GSA over unimodal problems. Like some other evolutionary optimization technique, premature convergence in the QGSA is also. In this paper, we propose a new kind of potential well evaluation, with a center which is weighted average of all Kbests based on their masses and distances. As results shown it helps the agent to escape the sub-optima more easily. The improved QGSA is evaluated on some benchmark function and results are reported.
量子引力搜索算法(quantum - Search Algorithm, QGSA)是一种全局收敛算法,其搜索策略使其在单峰问题上具有比经典引力搜索算法更强的全局搜索能力。与其他一些进化优化技术一样,QGSA的过早收敛也是一个问题。本文提出了一种新的潜在井评价方法,该方法的中心是所有潜在井的质量和距离加权平均。结果表明,它有助于代理更容易地摆脱次优。在一些基准函数上对改进后的QGSA进行了评估,并报告了结果。
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引用次数: 23
期刊
20th Iranian Conference on Electrical Engineering (ICEE2012)
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