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2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)最新文献

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A dielectrophoresis and image processing based system for loading single-neurons per micro-well in planar microelectrode arrays 基于介质电泳和图像处理的平面微电极阵列微孔单神经元加载系统
Fadi T. Jaber, F. Labeed, M. Hughes
In this article, which is related to the biomedical signal processing applications area of the workshop, we present a system for positioning a single-neuron inside each micro-well of a 4-by-4 planar microelectrode array (MEA). Neurons are moved toward the electrode sites of the MEA (located at the bottom of the wells) using dielectrophoresis. The system utilizes the image acquisition and processing capabilities of MATLAB to detect the presence of a neuron inside each micro-well and stop the dielectrophoretic force, thus preventing more cells from being loaded. This method provides a fast, simple and relatively inexpensive way for loading cells on MEAs embedded with micro-wells for the purpose of acquiring and processing action potentials from geometrically defined biological neural networks at the single-cell level. Recordings from neurons that were positioned using this system have been obtained and are presented.
在这篇与研讨会生物医学信号处理应用领域相关的文章中,我们提出了一个系统,用于在4 × 4平面微电极阵列(MEA)的每个微孔中定位单个神经元。神经元被移动到电极位置的MEA(位于底部的井)使用介电电泳。该系统利用MATLAB的图像采集和处理能力,检测每个微孔内是否存在一个神经元,并停止介电泳力,从而防止更多的细胞被加载。该方法提供了一种快速、简单且相对便宜的方法,将细胞加载到嵌入微孔的mea上,以便在单细胞水平上从几何定义的生物神经网络中获取和处理动作电位。使用该系统定位的神经元的记录已经获得并呈现。
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引用次数: 1
New clustering scheme for wireless sensor networks 一种新的无线传感器网络聚类方案
Messai Mohamed-Lamine
A challenging issue in wireless sensor networks (WSNs) is the energy saving to extend the networks lifetime. In this paper, we propose a novel Energy-Aware Clustering algorithm (EAC) for prolong the wireless sensor network lifetime, EAC achieves a good performance in terms of lifetime by balancing the energy load among all the sensor nodes in the network. EAC introduces the energy factor for cluster head selection and distance factor for non-cluster heads to select its cluster head. Simulation results show that the proposed algorithm increases the network lifetime in compare of the well-known LEACH protocol.
在无线传感器网络(WSNs)中,一个具有挑战性的问题是如何节省能量以延长网络的生命周期。本文提出了一种新的能量感知聚类算法(EAC)来延长无线传感器网络的生存期,EAC通过平衡网络中所有传感器节点的能量负载来获得良好的生存期性能。EAC引入能量因子来选择簇头,引入距离因子来选择非簇头。仿真结果表明,与著名的LEACH协议相比,该算法提高了网络生存时间。
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引用次数: 16
A quality measure based stopping criterion for iterative deblurring algorithms 基于质量度量的迭代去模糊算法停止准则
F. Kerouh, A. Serir
Blind image deblurring algorithms (BIDA) constitute a subset of image restoration algorithms used to solve ill-posed inverse problems, which can be challenging in low SNR situations. Those iterative methods usually impose some regularization upon the deconvolution process in order to constrain the problem and reduce the size of solution space. In this paper, we propose to use a new stopping criterion for iterative deblurring algorithms based on our previously published no reference blur image quality measure. The rationale behind the proposed stopping criterion is to control the deconvolution process by estimating the reminding blur quantity. For test, two iterative deblurring algorithms are considered. The Lucy Richardson [1,2] and the Shock Filters methods [3,4]. The proposed adaptive approach has been tested on blurred images from LIVE database (Gblur).
盲图像去模糊算法(BIDA)是用于解决病态逆问题的图像恢复算法的一个子集,在低信噪比情况下可能具有挑战性。这些迭代方法通常对反卷积过程施加一定的正则化,以约束问题并减小解空间的大小。在本文中,我们提出了一种新的停止准则,用于迭代去模糊算法,基于我们之前发表的无参考模糊图像质量度量。提出的停止准则的基本原理是通过估计提醒模糊量来控制反卷积过程。为了进行测试,考虑了两种迭代去模糊算法。Lucy Richardson[1,2]和Shock Filters方法[3,4]。本文提出的自适应方法已在实时数据库(Gblur)的模糊图像上进行了测试。
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引用次数: 5
Exploiting the pilot pattern orthogonality of OFDMA signals for the estimation of base stations number of antennas 利用OFDMA信号的导频方向正交性估计基站天线数
M. Oularbi, S. Gazor, A. Aíssa-El-Bey, S. Houcke
In a recent work [1, 2], we proposed a GLR (Generalized Likelihood Ratio) test dedicated to the identification of OFDM systems. In the present paper, we show that the proposed technique can be extended for the estimation of the number of antennas used by a base station. This extension is made possible thanks to the orthogonality property that exhibits the pilot pattern associated to the different antennas. Thanks to a multi-hypothesis testing we show that the number of transmitting antennas is estimated using only one antenna at the receiver and without any knowledge of the pilot sequence.
在最近的一项工作[1,2]中,我们提出了一种专门用于识别OFDM系统的GLR(广义似然比)测试。在本文中,我们证明了所提出的技术可以扩展到一个基站所使用的天线数量的估计。这种扩展是可能的,这要归功于展示与不同天线相关的导频模式的正交性。由于多假设测试,我们表明,发射天线的数量估计只使用一个天线在接收机和不知道任何导频序列。
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引用次数: 10
Comparative performance analysis of non orthogonal joint diagonalization algorithms 非正交联合对角化算法性能对比分析
M. Ammar, K. Abed-Meraim, A. Belouchrani
Recently, many non orthogonal joint diagonalization (NOJD) algorithms have been developed and applied in several applications including blind source separation (BSS) problems. The aim of this paper is to provide an overview of major complex NOJD (CNOJD) algorithm and to study and compare their performance in adverse scenarios. This performance analysis reveals many interesting features that help the non expert user to select the CNOJD method depending on the application conditions.
近年来,许多非正交联合对角化(NOJD)算法被开发并应用于盲源分离(BSS)等问题。本文的目的是概述主要的复杂NOJD (CNOJD)算法,并研究和比较它们在不利情况下的性能。这种性能分析揭示了许多有趣的特性,可以帮助非专业用户根据应用条件选择CNOJD方法。
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引用次数: 3
An efficient image encryption algorithm based on blocks permutation and Rubik's cube principle for iris images 基于块排列和魔方原理的虹膜图像加密算法
K. Loukhaoukha, M. Nabti, Khalil Zebbiche
This paper proposes an efficient image cryptosystem based on permutation and diffusion operations in order to enhance the protection of iris-based systems against replay attacks. These attacks have been identified and located in different points by Ratha et al. [1]. First, the original image is partitioned into blocks, which are then permuted using a permutation key. After that, the Rubik's cube principle is applied to each block in order to obtain a scrambled image. Finally, the pixels values of rows and columns of the scrambled image are changed using XOR operator to generate the encrypted image. Experimental tests and security analysis have been carried out on iris images, chosen from CASIA database [2]. The obtained results clearly show the robustness of the proposed image cryptosystem against common attacks, namely exhaustive, differential and statistical attacks and also reveal the high security level achieved by the proposed algorithm.
为了提高基于虹膜的系统对重放攻击的防护能力,本文提出了一种基于排列和扩散操作的高效图像密码系统。这些攻击已经被Ratha等人识别并定位在不同的点上[1]。首先,将原始图像划分为块,然后使用置换键对其进行排列。之后,将魔方原理应用于每个块,以获得打乱后的图像。最后,通过异或运算改变置乱后图像的行、列像素值,生成加密图像。虹膜图像选择自CASIA数据库[2],进行了实验测试和安全性分析。得到的结果清楚地显示了所提出的图像密码系统对常见攻击(即穷举攻击、差分攻击和统计攻击)的鲁棒性,也揭示了所提出算法所实现的高安全级别。
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引用次数: 14
Automatic understanding of human behavior in videos: A review 视频中人类行为的自动理解:综述
Mourad Bouzegza, M. Elarbi-Boudihir
Real-time understanding of human behavior in video streams is presently one of the most active areas of research in Computer Vision and Artificial Intelligence. Its purpose is to automatically detect, track and describe human activities in a sequence of image frames. Challenges in this topic of research are numerous and sometimes very difficult to work out. Consequently, the progress is very slow and the results are not very satisfactory. This paper aims to survey the methods used in human behavior understanding, showing their strengths and weaknesses. This small “toolbox” of methods and strategies could be very useful to the researcher and the engineer alike.
实时理解视频流中的人类行为是目前计算机视觉和人工智能研究中最活跃的领域之一。它的目的是在一系列图像帧中自动检测、跟踪和描述人类活动。这一研究课题的挑战很多,有时很难解决。因此,进展非常缓慢,结果不太令人满意。本文旨在概述人类行为理解中使用的方法,并指出它们的优缺点。这个方法和策略的小“工具箱”对研究人员和工程师都非常有用。
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引用次数: 1
Investigating speaker gender using rhythm metrics in Arabic dialects 用阿拉伯语方言的韵律韵律调查说话人的性别
A. Meftah, S. Selouani, Y. Alotaibi
This paper investigates the relationship between speakers' gender and rhythm metrics (i.e., %V, ΔC, and ΔV) for three Arabic dialects, namely Modern Standard Arabic, Saudi Arabic, and Levantine. To carry out this study, three corpora have been used: the West Point, Saudi Accented Arabic Voice Bank (SAAVB), and BBN/AUB DARPA Babylon, for Modern Standard Arabic, Saudi Arabic, and Levantine, respectively. Because of differences (e.g., in the language of the spoken content) among the corpora, we compare genders within each specific corpus. Variations are found in speech rate between the three dialects and even within the same dialect between males and females. Rhythm metrics can be used to identify the gender and dialect.
本文研究了现代标准阿拉伯语、沙特阿拉伯语和黎凡特语三种阿拉伯方言中说话人的性别与节奏韵律(即%V、ΔC和ΔV)之间的关系。为了进行这项研究,使用了三个语料库:西点,沙特阿拉伯口音语音库(SAAVB)和BBN/AUB DARPA巴比伦,分别用于现代标准阿拉伯语,沙特阿拉伯语和Levantine。由于语料库之间的差异(例如,口语内容的语言),我们在每个特定语料库中比较性别。三种方言之间的语速存在差异,甚至在同一种方言中,男性和女性之间也存在差异。节奏韵律可以用来识别性别和方言。
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引用次数: 6
Stereo vision IP design for FPGA implementation of obstacle detection system 立体视觉IP设计用FPGA实现障碍物检测系统
Hamza Bendaoudi, A. Khouas
Stereo vision IP (Intellectual Property) modules and obstacle detection systems using stereo vision is an important issue in intelligent vehicle, robots navigation and automotive. In this paper, we proposed an IP module with four (4) known stereo vision algorithms. The four algorithms architectures are compared in term of resources utilization and processing speed (frequency). We developed a software interface for VHDL code generation with needed IP parameters. The proposed IP-Based hardware architecture combines the stereo vision IP to compute the disparity map with V-disparity image and simplified Hough transform for obstacle detection. The proposed system was tested using Virtex-Il FPGA based prototyping board. Resources utilization and speed are estimated for different parameters of the disparity map algorithm.
立体视觉知识产权模块和利用立体视觉的障碍物检测系统是智能车辆、机器人导航和汽车领域的一个重要课题。在本文中,我们提出了一个IP模块与四(4)已知的立体视觉算法。比较了四种算法的资源利用率和处理速度(频率)。我们开发了一个带有所需IP参数的VHDL代码生成软件接口。提出的基于IP的硬件架构将立体视觉IP计算视差图与v -视差图像相结合,并简化Hough变换进行障碍物检测。该系统在基于Virtex-Il FPGA的原型板上进行了测试。对视差图算法不同参数下的资源利用率和速度进行了估计。
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引用次数: 2
Classification of heart sound based on multipoint auscultation system 基于多点听诊系统的心音分类
S. Hussain, Salleh, I. Kamarulafizam, A. M. Noor, Arief A. Harris, H. Oemar, Khalid Yusoff
Heart disorder can be diagnosed by listening to the heart sound that is recorded using stethoscope on the human chest. However, human interpretation and diagnosis based on auscultation is somewhat subjective and vary depending on the skill and hearing ability of the physician. Studies have been focusing on the development and evaluation of methods in detecting the various components of the heart sound at a specific auscultation point. The principle interest of this paper is, however focused towards finding the optimal auscultation point which involves placing the stethoscope at different position namely at the aortic valve and pulmonary valve which provide better quality of the second heart sound component (S2) and mitral valve and tricuspid valve where the first heart sound component (Sl) can be heard more clearly. Comparative experiments using to Mel-Frequency Cepstrum Coefficient (MFCC) property, variation of the number of Hidden markov Model (HMM) states and variation of the number of gaussian mixtures were conducted to measure the offects of these factors to the classification performance at the four locations of auscultation point. Further works was also carried out with time-frequency distribution which is known to provide information about how the spectral content of the signal evolves with time. The Extended Modified B-distribution was chosen from a number of time-frequency methods due to its ability to represent the signal in the most efficient way in term of noise and cross term elimination.
心脏疾病可以通过听诊器录下的心音来诊断。然而,基于听诊的人的解释和诊断有些主观,并因医生的技能和听力能力而异。研究的重点是开发和评估在特定听诊点检测心音的各种成分的方法。然而,本文的主要兴趣是寻找最佳听诊点,这涉及将听诊器放置在不同的位置,即主动脉瓣和肺动脉瓣,它们提供更好的第二心音分量(S2)质量,二尖瓣和三尖瓣可以更清楚地听到第一心音分量(Sl)。通过Mel-Frequency倒频谱系数(MFCC)特性、隐马尔可夫模型(HMM)状态数变化和高斯混合数变化的对比实验,考察了这些因素对听诊点4个位置分类性能的影响。进一步的工作还进行了时间-频率分布,已知它提供了有关信号的频谱内容如何随时间演变的信息。从许多时频方法中选择了扩展修正b分布,因为它能够以最有效的方式表示噪声和交叉项消除方面的信号。
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引用次数: 12
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2013 8th International Workshop on Systems, Signal Processing and their Applications (WoSSPA)
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