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2016 5th International Conference on Multimedia Computing and Systems (ICMCS)最新文献

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Design of superdirective and compact antenna array 超定向紧凑型天线阵列的设计
Pub Date : 2016-10-28 DOI: 10.1109/ICMCS.2016.7905543
S. Dakhli, H. Rmili, J. Floc'h, F. Choubani, M. Sheikh
In this paper we propose the design of a superdirective and compact antenna array. This antenna system is based on a capacitively loaded loop (CLL) driven by an electrically small monopole antenna. This elementary antenna is then used in a two elements compact parasitic array, in order to achieve a higher directivity. The two elements of this array are identical, but only one of them is driven, the other one is used as a parasitic element. The design of the elementary antenna, its simulated radiation performance are reported, as well as those of the parasitic array. A 7.20 dB maximum total directivity is achieved for this antenna array.
本文提出了一种超定向紧凑型天线阵列的设计方案。该天线系统是基于一个电容负载环路(CLL),由一个电小单极天线驱动。该基元天线用于双元紧凑寄生阵列,以获得更高的指向性。该阵列的两个元素是相同的,但只有一个被驱动,另一个被用作寄生元件。介绍了基元天线的设计、模拟辐射性能,以及寄生阵列的模拟辐射性能。该天线阵列的最大总指向性为7.20 dB。
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引用次数: 0
Improvement of induction motor performance at low speeds using fuzzy logic adaptation mechanism based sensorless direct field oriented control and fuzzy logic controllers (FDFOC) 基于模糊逻辑自适应机制的无传感器直接场定向控制和模糊逻辑控制器(FDFOC)改善异步电动机低速性能
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905545
Chaymae Fahassa, Yassine Zahraoui, M. Akherraz, A. Bennassar
This paper presents a more relevant infrastructure: fuzzy sensorless direct field oriented control (FDFOC), compared to the usual sensorless direct field oriented control (DFOC), in order to improve the induction motor (IM) performance at low speeds. In the FDFOC, a fuzzy logic adaptation mechanism based Luenberger observer used for speed adaptation is adopted, and all the proportional-integral (PI) controllers are substituted for intelligent ones: fuzzy logic controllers (FLCs). In the interest of evaluating both systems performance FDFOC and DFOC, a detailed comparative study is presented: functioning in both motor rotation directions with application of load torque disturbance at low speeds. Simulation tests prove the robustness of the new infrastructure FDFOC in comparison with the usual DFOC: Quick response, good load torque rejection, decrease of the stator phase current on startup, as a result the system dynamic has been improved significantly. On the other hand, the simulation presents excellent speed observation using adaptive Luenberger observer (ALO) whereas the estimated speed perfectly pursues the reference at low speeds. Simulations are done using Matlab.
本文提出了一种更相关的基础结构:模糊无传感器直接场定向控制(FDFOC),与通常的无传感器直接场定向控制(DFOC)相比,以提高感应电动机(IM)在低速下的性能。在FDFOC中,采用基于Luenberger观测器的模糊逻辑自适应机制进行速度自适应,并将所有比例积分(PI)控制器替换为智能控制器:模糊逻辑控制器(flc)。为了评估两种系统的性能,本文给出了一个详细的比较研究:在低速下,在负载转矩干扰的情况下,在两个电机旋转方向上运行。仿真试验表明,与传统的DFOC相比,新型结构FDFOC具有响应快、抑制负载转矩好、启动时定子相电流减小等优点,系统的动态特性得到了显著改善。另一方面,采用自适应Luenberger观测器(ALO)对仿真结果进行了良好的速度观察,在低速下估计的速度与参考速度保持一致。利用Matlab进行了仿真。
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引用次数: 7
Aid to the medical diagnosis by retinal analysis 通过视网膜分析帮助医学诊断
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905529
Kahina Boucherk, Z. Ameur, Maï K. Nguyen
To diagnose serious eyes diseases, ophthalmologists use the color retinal images of a patient acquired from the digital fundus camera, such as the diabetic retinopathy that affects the morphology of the blood vessels tree, so an automatic detection and extraction of blood vessels in retinal images is important. In this paper, we present a method to extract blood vessels and delineate vascular intersection and crossovers. The proposed algorithm consists of three steps: first, the appearance of the blood vessels is enhanced and background noise is suppressed using Gaussian filters, in second step, entropic thresholding is used to detecting pixels in the enhanced image. Finally, the vascular intersections and bifurcations are obtained via the crossing number (CN) technique.
为了诊断严重的眼部疾病,眼科医生使用从数字眼底相机获取的患者彩色视网膜图像,例如糖尿病视网膜病变影响血管树的形态,因此视网膜图像中血管的自动检测和提取非常重要。在本文中,我们提出了一种提取血管和描绘血管相交和交叉的方法。该算法包括三个步骤:首先,对血管的外观进行增强,并使用高斯滤波器抑制背景噪声;第二步,使用熵阈值法检测增强图像中的像素点。最后,通过交叉数(CN)技术得到了维管的交叉点和分支。
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引用次数: 0
Car recognition using the bag of features method 利用特征包的方法进行汽车识别
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905554
Ilias Kamal, J. Oubaha
In this paper, we apply the bag of features method to the car make and model recognition problem. In our implementation of the method, we use the LARS algorithm to optimize the quadratic problem known as the Lasso and by doing so we generate the dictionary of words. That dictionary is then used in conjuction to an image database to obtain a feature vector (each image yields one feature vector), said feature vector is then fed to an supervised classification algorithm (in our case an SVM).
本文将特征包方法应用于汽车的品牌和车型识别问题。在我们的方法实现中,我们使用LARS算法来优化被称为Lasso的二次问题,通过这样做,我们生成了单词字典。然后将该字典与图像数据库结合使用以获得特征向量(每个图像产生一个特征向量),然后将所述特征向量馈送到监督分类算法(在我们的示例中是SVM)。
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引用次数: 2
Brain image segmentation using Artificial Bee Colony optimization and Markovian Potts model 基于人工蜂群优化和马尔可夫波茨模型的脑图像分割
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905632
Mohamed Bou-Imajjane, M. Sbihi
In this paper, we propose a segmentation model using MRF (Markov Random Fields) and a global optimization method based on ABC (Artificial Bee Colony) algorithm. As a Markovian algorithm, ICM (Iterated Conditional Modes) is an iterative method which takes into account the neighboring labels of the pixel in calculating the energy function that need to be minimized to obtain the best segmentation. To improve this local method in term of energy function optimization, ABC is so introduced knowing its robustness especially in discrete multivariable optimization problems. The contribution of this work is to propose MRF-ABC algorithm that consists of using ABC to optimize a Potts energy function, after an ICM initialization, in order to improve image segmentation quality. The whole algorithm is evaluated on MRI (Magnetic Resonance Images) and experimental results show the efficiency of the proposed approach.
本文提出了一种基于马尔科夫随机场的分割模型和一种基于人工蜂群算法的全局优化方法。ICM (Iterated Conditional Modes,迭代条件模式)作为一种马尔可夫算法,是一种考虑像素邻近标签计算能量函数以获得最佳分割的迭代方法。为了在能量函数优化方面改进这种局部方法,在认识到ABC算法在离散多变量优化问题中的鲁棒性的基础上,引入了ABC算法。本工作的贡献是提出MRF-ABC算法,该算法在ICM初始化后使用ABC优化Potts能量函数,以提高图像分割质量。整个算法在MRI(磁共振图像)上进行了评估,实验结果表明了该方法的有效性。
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引用次数: 2
Fast and accurate algorithm for 3D local object reconstruction using Krawtchouk moments 基于克劳tchouk矩的三维局部物体快速精确重建算法
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905559
Abderrahim Mesbah, M. E. Mallahi, Zouhir Lakhili, H. Qjidaa, Aissam Berrahou
Discrete Krawtchouk moments are powerful tools in the field of image processing application and pattern recognition. In this paper, we propose a fast and accurate algorithm based on matrix multiplication to extract local features of 3D Krawtchouk moments. The center of interest region in an object can be shifted by varying three parameters. We also computed local Tchebichef moments from 3D object by using the weight function of Krawtchouk polynomials. Experiment results have shown the superiority of the proposed method in terms of object reconstruction comparing with Tchebichef moments.
离散克rawtchouk矩是图像处理应用和模式识别领域的有力工具。本文提出了一种基于矩阵乘法的快速准确的三维克劳丘克矩局部特征提取算法。物体感兴趣区域的中心可以通过改变三个参数来移动。我们还利用克劳tchouk多项式的权函数计算了三维物体的局部切切切夫矩。实验结果表明,与切比切夫矩相比,该方法在目标重建方面具有优越性。
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引用次数: 8
Quantification of 3d tooth movement after a segmentation using a Watershed 3d method 使用分水岭三维方法对分割后的三维牙齿运动进行量化
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905563
H. Haddani, A. Elmoutaouakkil, F. Benzekri, H. Aghoutan, Farid Bourzgui
In life we find a lot of several problems that touch all domains. One of them is dental medicine, which was crashing into the mechanical treatment. Nowadays, the appearance of computers in orthodontics has provided a solution to various problems and has facilitated many operations. The objectives of this study is to find a virtual approximation to real orthodontics problems of teeth movement based on digital images take it with cone-beam computed tomography (CBCT) using a different methods to define the transformation that teeth must follow to return to the natural state started by a segmentation using one of the most important method named Watershed. All components of teeth displacement are combination of translations and rotations movement along the three axes. The result showed that the forces applied to the teeth in some positions could decrease number of translations and rotations to the decrease in simulation time.
在生活中,我们会遇到许多涉及各个领域的问题。其中之一是牙科医学,它正在冲击机械治疗。如今,计算机在正畸中的出现,为解决各种问题提供了解决方案,并为许多手术提供了方便。本研究的目的是找到一个虚拟逼近真实的牙齿正畸问题,基于数字图像,采用锥束计算机断层扫描(CBCT),使用不同的方法来定义牙齿必须遵循的转换,以返回到自然状态,使用最重要的方法之一称为分水岭的分割开始。牙齿位移的所有组成部分都是沿三个轴的平移和旋转运动的组合。结果表明,在某些位置施加力可以减少齿的平移和旋转次数,从而缩短仿真时间。
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引用次数: 1
CRY OLSR: Crypto Optimized Link State Routing for MANET 基于加密优化的MANET链路状态路由
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905578
F. Semchedine, A. Moussaoui, K. Zouaoui, Sarra Mehamel
Ad hoc mobile network usually called MANET (Mobile Ad hoc Network) is an autonomous system of mobile nodes connected by wireless links and forms a temporary network with a variable topology. MANET work without preexisting fixed infrastructures and without a centralized administration. The performance of a MANET network is strictly related to the capacity of the routing protocol implemented to adapt itself to the unpredictable changes in the network topology and the link state. One of these routing protocols is OLSR (Optimized Link State Routing Protocol) which assumes that all the nodes are in a trusted environment. However OLSR is vulnerable to all kinds of malicious attacks. In this paper, we proposed a security mechanism that is an extension of OLSR, called CRY-OLSR. This new mechanism is based on an asymmetric cryptographic that allows the identification and then the isolation of malicious nodes in the network. The simulation results, using OPNET simulator, show the effectiveness of our mechanism.
Ad hoc移动网络通常称为MANET (mobile Ad hoc network),是由无线链路连接的移动节点组成的自治系统,是一个具有可变拓扑结构的临时网络。MANET可以在没有预先存在的固定基础设施和集中管理的情况下工作。MANET网络的性能与所实现的路由协议适应网络拓扑和链路状态不可预测变化的能力密切相关。其中一种路由协议是OLSR(优化链路状态路由协议),它假设所有节点都处于可信环境中。然而,OLSR容易受到各种恶意攻击。在本文中,我们提出了一种安全机制,它是OLSR的扩展,称为CRY-OLSR。这种新机制基于非对称加密,允许识别和隔离网络中的恶意节点。利用OPNET仿真器进行了仿真,验证了该机制的有效性。
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引用次数: 6
A 90nm CMOS «LDO» regulator with high load regulation using a gain boost-up technique 90nm CMOS«LDO»稳压器与高负载调节使用增益提升技术
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905612
Hicham Akhamal, Mostafa Chakir, H. Qjidaa
In this paper, a new type of a 90nm CMOS LDO regulator with high load regulation using a gain goost-up technique. The development of low drop-out (LDO) regulator architectures in the power management family is necessary to reduce the standby power of portable applications such as cellular phones and PDAs. In essence, this LDO regulator suffers from an inherent load regulation which impedes to work under various applications. Indeed, this paper discusses a technique that enables the practical realizations of high Load regulation LDO's at low voltages. The objective of this research is to develop novel LDO regulators that can achieve a high precision of LDO which requires a high loop gain performance. Moreover, one of the performances which is enhanced by the augmentation of dc open loop gain is the load regulation. The LDO is implemented in 90 nm CMOS technology and achieves a power-supply rejection ratio better than −70 dB up to 100 KHz for load currents up to 100 mA. The voltage regulator provides maximum 110 mA current, moreover with a 1.2V supply voltage, thus this LDO regulator providing an output of 1 V with a 200mV drop-out voltage.
本文采用增益提升技术,设计了一种具有高负载调节功能的新型90nm CMOS LDO稳压器。为了降低手机和pda等便携式应用的待机功率,在电源管理系列中开发低降差(LDO)稳压器架构是必要的。从本质上讲,这种LDO稳压器受到固有负载调节的影响,这阻碍了在各种应用下工作。实际上,本文讨论了一种在低电压下实际实现高负载调节LDO的技术。本研究的目的是开发新的LDO调节器,以实现高精度的LDO,这需要高环路增益性能。此外,通过增加直流开环增益而增强的性能之一是负载调节。LDO采用90 nm CMOS技术实现,在负载电流高达100 mA的情况下,在100 KHz范围内的电源抑制比优于- 70 dB。该稳压器提供最大110ma电流,并且具有1.2V电源电压,因此该LDO稳压器提供1v输出和200mV降压。
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引用次数: 3
Big data emerging issues: Hadoop security and privacy 大数据新兴问题:Hadoop安全和隐私
Pub Date : 2016-09-01 DOI: 10.1109/ICMCS.2016.7905621
Karim Abouelmehdi, A. B. Hssane, Hayat Khaloufi, M. Saadi
With the growing development of data, it has become increasingly vulnerable and exposed to malicious attacks. These attacks can damage the essential properties such as confidentiality, integrity and availability of information systems. To deal with these malicious intents, it is necessary to develop effective protection mechanisms. In this paper we will indicate the main risks arising in Big Data and existing security mechanisms, we focus on Hadoop security and its components because it remains the required Framework for the management and the processing of big data.
随着数据量的不断增长,它也变得越来越脆弱,容易受到恶意攻击。这些攻击会破坏信息系统的机密性、完整性和可用性等基本属性。为了应对这些恶意行为,有必要建立有效的保护机制。在本文中,我们将指出大数据中出现的主要风险和现有的安全机制,我们将重点关注Hadoop安全性及其组件,因为它仍然是管理和处理大数据所需的框架。
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引用次数: 12
期刊
2016 5th International Conference on Multimedia Computing and Systems (ICMCS)
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