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2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)最新文献

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Analyzing of one dimensional quasi periodic circuit by using auxiliary sources in a WCIP method 利用辅助源分析一维准周期电路的WCIP方法
Taieb Elbellili, M. K. Azizi, L. Latrach, H. Trabelsi, A. Gharsallah, H. Baudrand
A new approach of the iterative method WCIP (Wave Concept Iterative Process) using the technique of the auxiliary sources considers a pixel or a unit cell in a periodic structure as an electrical circuit instead of a sub-domain representing metal or dielectric in the classical iterative method. The intersection of this new approach with the old is on the application of the iterative process in waves between the space and spectral domains in order to calculate the electric field and the density of current. The novel approach is introduced by the study of two types of defects on an uniform transmission line. The first one is a defect of a resistance, the other is a defect of a reactance. The results of simulation of the variation of current along the transmission line are agree with the theory which validates our proposed approach.
利用辅助源技术的迭代方法WCIP(波概念迭代过程)将周期结构中的像素或单元格视为电路,而不是经典迭代方法中代表金属或电介质的子域。这种新方法与旧方法的交集是在空间域和谱域之间的波中应用迭代过程来计算电场和电流密度。通过对均匀传输线上两类缺陷的研究,介绍了这种新方法。第一个是电阻的缺陷,另一个是电抗的缺陷。对输电线路电流变化的仿真结果与理论一致,验证了所提方法的有效性。
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引用次数: 3
Enhanced fingerprint fuzzy vault based on distortion invariant minutiae structures 基于畸变不变性细节结构的增强指纹模糊拱顶
Jaweher Zouari, Mohamed Hamdi
The fuzzy vault is a promising cryptosystem for the protection of fingerprint templates. However it requires the alignment of the query template to the enrolled one. Most existing implementations either rely on the extraction of the core which is not a guaranteed task, or use publicly available helper data which may leak information about the protected minutiae. We propose a new alignment approach for the fingerprint fuzzy vault based on distortion invariant minutiae features. Experimental results show improvements in genuine and false accept rates over previous implementations.
模糊保险库是一种很有前途的指纹模板保护密码系统。但是,它要求查询模板与已注册的查询模板保持一致。大多数现有的实现要么依赖于核心的提取,这不是一个保证的任务,要么使用公开可用的助手数据,这可能会泄露有关受保护细节的信息。提出了一种基于畸变不变性细节特征的指纹模糊拱顶对齐方法。实验结果表明,与以前的实现相比,真假接受率有所提高。
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引用次数: 3
Random waypoint impact on bio-inspired routing protocols in WSN 无线传感器网络中随机航路点对仿生路由协议的影响
Asmae El Ghazi, B. Ahiod
Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Etiam lobortis facilisis sem. Nullam nec mi et neque pharetra sollicitudin. Praesent imperdiet mi nec ante. Donec ullamcorper, felis non sodales commodo, lectus velit ultrices augue, a dignissim nibh lectus placerat pede. Vivamus nunc nunc, molestie ut, ultricies vel, semper in, velit. Ut porttitor. Praesent in sapien. Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Duis fringilla tristique neque. Sed interdum libero ut metus. Pellentesque placerat. Nam rutrum augue a leo. Morbi sed elit sit amet ante lobortis sollicitudin. Praesent blandit blandit mauris. Praesent lectus tellus, aliquet aliquam, luctus a, egestas a, turpis. Mauris lacinia lorem sit amet ipsum. Nunc quis urna dictum turpis accumsan semper. Depending on the application requirements, wireless sensor networks (WSNs) are composed by static or mobile sensor nodes. The weaknesses of sensors with mobility arise major challenges especially in routing. Routing in WSNs is among the NP-hard optimization problem that requires efficient and robust methods such as metaheuristics. The ant colony optimization (ACO) and the particle swarm optimization (PSO) are the most used metaheuristics for solving this problem in static WSNs. For dynamic WSNs, the model random waypoint (RWP) is widely proposed to evaluate the performance of mobile networks. In this work, we present a new evaluation of the RWP model impact on the ACO and the PSO-based routing protocols for WSNs, using different parameters like the number of nodes, simulation time and simulation area. Further, this study compares the performance of the ACO and the PSO routing protocols for mobile WSNs.
Lorem ipsum dolor sit amet, consectetuer adipiscing elit.Etiam lobortis facilisis sem.Nullam nec mi et neque pharetra sollicitudin.Praesent imperdiet mi nec ante.Donec ullamcorper, felis non sodales commodo, lectus velit ultrices augue, a dignissim nibh lectus placerat pede.Vivamus nunc nunc, molestie ut, ultricies vel, semper in, velit.Ut porttitor.Praesent in sapien.Lorem ipsum dolor sit amet, consectetuer adipiscing elit.Duis fringilla tristique neque.Sed interdum libero ut metus.Pellentesque placerat.Nam rutrum augue a leo.Morbi sed elit sit amet ante lobortis sollicitudin.Praesent blandit blandit mauris.蓓蕾绽放、蓓蕾绽放、蓓蕾绽放、蓓蕾绽放、蓓蕾绽放、蓓蕾绽放。Mauris lacinia lorem sit amet ipsum.Nunc quis urna dictum turpis accumsan semper.根据应用要求,无线传感器网络(WSN)由静态或移动传感器节点组成。具有移动性的传感器的弱点带来了重大挑战,特别是在路由选择方面。WSN 中的路由问题属于 NP 难优化问题,需要采用元启发式等高效、稳健的方法。蚁群优化(ACO)和粒子群优化(PSO)是解决静态 WSN 问题最常用的元启发式方法。对于动态 WSN,随机航点模型(RWP)被广泛用于评估移动网络的性能。在这项工作中,我们使用节点数量、模拟时间和模拟区域等不同参数,对 RWP 模型对基于 ACO 和 PSO 的 WSN 路由协议的影响进行了新的评估。此外,本研究还比较了移动 WSN 的 ACO 和 PSO 路由协议的性能。
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引用次数: 6
Study of surface wave antenna loaded with artificial magnetic conductor surfaces 载人工磁性导体表面的表面波天线研究
S. Abdelkebir, A. Mayouf, F. Mayouf, B. Zoubiri, T. Devers
In this paper, a new metamaterial-inspired high frequency surface wave antenna is designed. An artificial magnetic conductor surface is introduced into the near field region of a vertical meander monopole antenna to improve its electromagnetics performances, where a split ring resonator-cell is selected as an artificial magnetic conductor. The return loss, the radiation pattern, the electric field distribution and efficiency are evaluated through the finite element method (FEM simulations). The designed antenna has advantages of low cost, small size, and light weight.
本文设计了一种新型的超材料激励高频表面波天线。为了提高垂直弯曲单极天线的电磁性能,在其近场区引入了人工磁导体表面,并选择了分环谐振腔作为人工磁导体。通过有限元模拟计算了回波损耗、辐射方向图、电场分布和效率。所设计的天线具有成本低、体积小、重量轻等优点。
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引用次数: 0
Resources allocation trade-off between cost and delay over a distributed Cloud infrastructure 分布式云基础设施上的成本和延迟之间的资源分配权衡
Eya Dhib, N. Zangar, N. Tabbane, K. Boussetta
Massively Multiplayer Online Games (MMOG) keep attracting hundreds of thousands of players from all over the world. Ensuring a scalable and latency-sensitive MMOG service is a challenge task since it is subject of high workload variability. Traditionally, MMOG providers used to over provision resources in order to cope with worst workload scenario. Nowadays, MMOG infrastructures have switched to Cloud computing paradigm. In this paper, we propose a novel architecture for MMOGs and we address the problem of dynamic resources provisioning over a distributed cloud infrastructure. Our contribution allocates necessary virtual resources while managing the trade-off between resource allocation cost and processing delay constraint. Experiment results prove effectiveness of our proposition.
大型多人在线游戏(MMOG)不断吸引着来自世界各地的数十万玩家。确保可伸缩且对延迟敏感的MMOG服务是一项具有挑战性的任务,因为它受到高工作负载可变性的影响。传统上,MMOG提供商习惯于过度提供资源,以应对最坏的工作负载场景。如今,MMOG基础设施已经转向云计算范式。在本文中,我们提出了一种新的mmog架构,并解决了分布式云基础设施上的动态资源供应问题。我们的贡献分配必要的虚拟资源,同时管理资源分配成本和处理延迟约束之间的权衡。实验结果证明了该方法的有效性。
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引用次数: 9
Rectangular microstrip antenna gain enhancement using elliptical EBG structure 椭圆EBG结构增强矩形微带天线增益
B. Zoubiri, A. Mayouf, F. Mayouf, S. Abdelkebir, T. Devers
In this paper, the performance of a rectangular microstrip patch antenna fed by a coaxial probe has been enhanced by perforating elliptically periodic holes in both substrate and resonant element. A parametric analysis of the required number of holes and their dimensions are carried out, in order to increase the gain. The proposed antenna was designed and simulated by CST Microwave Studio. Obtained results that concern the return loss and radiation patterns show the significant enhancement of the antenna gain for the same operating frequency.
本文通过在衬底和谐振元件上穿孔椭圆周期孔的方法,提高了同轴探针馈电矩形微带贴片天线的性能。为了提高增益,对所需的孔数及其尺寸进行了参数化分析。采用CST Microwave Studio对该天线进行了设计和仿真。得到的回波损耗和辐射方向图的结果表明,在相同工作频率下,天线增益显著增强。
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引用次数: 9
A dual-microphone noise reduction algorithm for mobile communications 一种用于移动通信的双麦克风降噪算法
Wahbi Nabi, Aloui Noureddine, A. Cherif
A dual-microphone noise reduction method based on the coherence function for mobile communications is suggested in this paper. The proposed algorithm exploits the Kalman filter and the spectral subtraction method in order to improve the speech quality in different noisy environments. The adopted method is easy to implement and needs no estimation of interfering signals statistics. The proposed algorithm is tested with different distances between the two microphones using recorded data and objective criteria such as: PESQ and SNR. The good performance of the suggested algorithm and its low complexity, making it a promised solution for dual-channel mobile phones.
提出了一种基于相干函数的移动通信双传声器降噪方法。该算法利用卡尔曼滤波和频谱减法来提高不同噪声环境下的语音质量。该方法实现简单,不需要估计干扰信号的统计量。利用记录数据和客观标准(如PESQ和SNR)对该算法进行了测试。该算法具有良好的性能和较低的复杂度,使其成为双通道手机的理想解决方案。
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引用次数: 0
Nonlinear complex M-SVR for LTE MIMO-OFDM channel with impulsive noise 具有脉冲噪声的LTE MIMO-OFDM信道非线性复M-SVR
A. Charrada
In this paper, an efficient approach is proposed to track the double-selected multipath channel for a Multiple-Input-Multiple-Output Orthogonal-Frequency-Division-Multiplexing (MIMO-OFDM) system in the existence of both Gaussian and non-Gaussian noises interfering with reference signals. Using nonlinear complex Multiple Support Vector Machine Regression (M-SVR) methodology, fast-fading multipath channel estimation can be performed accurately. The M-SVR algorithm is developed and affected to MIMO Long Term Evolution (LTE) downlink system with Space Time Block Coding (STBC) scheme. The effectiveness of the proposed technique is demonstrated through the obtained simulation results which confirm the abilities of the M-SVR to track the fast-fading channel in the manifestation of several nonlinearities.
针对多输入多输出正交频分复用(MIMO-OFDM)系统中存在高斯和非高斯噪声干扰参考信号的情况,提出了一种有效的双选多径信道跟踪方法。采用非线性复多元支持向量机回归(M-SVR)方法,可以准确地进行快衰落多径信道估计。提出了一种基于空时分组编码(STBC)的MIMO LTE下行系统的M-SVR算法。仿真结果验证了该方法的有效性,验证了M-SVR在多种非线性情况下对快衰落信道的跟踪能力。
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引用次数: 4
A smart and effective method for digital video compression 一种智能有效的数字视频压缩方法
Samaher Al-Janabi, Ibrahim Al-Shourbaji
Video compression techniques play a vital role in storage and transmission of data through the limited bandwidth capability. This study proposes a compression method that can obtain a highest compression ratio and high quality for video compression. The proposed method consists of five phases. In the First phase, the main frames from the digital video through opening the header of video are split using ASCII long function. The Second phase is to transform colors from RGB to YUV color space, which consist of two main components the luminance (Y) and the chrominance (UV). In the third phase, Discrete Cosine Transform (DCT) and Motion techniques are combined to generate the new method and to reduce the spatial and temporal redundancy. In the next phase, the DCT coefficients are coded using Embedded Zerotree Wavelet (EZW) algorithm. Finally, Run Length Encoding (RLE) technique is used to encode the symbols sequences. The proposed method splits movie file based on the skew measurements with a specific threshold determined by the EZW algorithm. The proposed method confirms that the EZW algorithm is effective compression algorithm.
视频压缩技术在有限的带宽条件下对数据的存储和传输起着至关重要的作用。本研究提出了一种能够获得最高压缩比和高质量视频压缩的压缩方法。该方法分为五个阶段。在第一阶段,使用ASCII长函数对从数字视频到打开视频头的主帧进行分割。第二阶段是将颜色从RGB转换为YUV色彩空间,该空间由亮度(Y)和色度(UV)两个主要组成部分组成。在第三阶段,离散余弦变换(DCT)和运动技术相结合,产生新的方法,并减少空间和时间冗余。在下一阶段,使用嵌入式零树小波(EZW)算法对DCT系数进行编码。最后,采用运行长度编码(RLE)技术对符号序列进行编码。本文提出的方法是基于EZW算法确定的特定阈值的倾斜测量来分割电影文件。该方法验证了EZW算法是一种有效的压缩算法。
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引用次数: 6
Fuzzy k-nearest neighbors applied to phoneme recognition 模糊k近邻在音素识别中的应用
I. Fredj, K. Ouni
In this work, the Fuzzy kNN (FkNN), an alternative of the standard kNN algorithm, is used for Timit phoneme recognition. Phoneme is the smallest unit that composes speech. For this reason, if phoneme recognition is performed, it can achieve a significant word and text recognition. Thus, the main idea consists on assigning phoneme membership to the data phonemes by measuring the distance to its kNN. FkNN compute the fuzzy distances between the data phonemes that define the cluster fuzziness. Mel Frequency Cepstral Coefficients (MFCC) associated with their first and second derivatives and energy coefficient were extracted from the speech signals as an input of the recognition system. A comparison of a crisp and fuzzy kNN was performed. Experiments show that FkNN algorithm not only can lead to significant recognition rates, but also may supersede in some ways Hidden Markov Model (HMM) the reference of speech recognition.
在这项工作中,模糊kNN (FkNN)是标准kNN算法的替代方案,用于Timit音素识别。音素是构成语音的最小单位。因此,如果进行音素识别,可以实现有意义的单词和文本识别。因此,主要思想在于通过测量到其kNN的距离来分配数据音素的隶属度。FkNN计算数据音素之间的模糊距离,定义聚类的模糊性。从语音信号中提取与其一阶导数、二阶导数和能量系数相关的低频倒谱系数作为识别系统的输入。进行了清晰和模糊kNN的比较。实验表明,FkNN算法不仅具有显著的识别率,而且在某些方面可以取代隐马尔可夫模型(HMM)作为语音识别的参考。
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引用次数: 5
期刊
2016 7th International Conference on Sciences of Electronics, Technologies of Information and Telecommunications (SETIT)
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