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2019 Novel Intelligent and Leading Emerging Sciences Conference (NILES)最新文献

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A Novel DoG-FMF Profile with Six LP Modes and Low Differential Mode Delay 一种具有六个LP模式和低差分模式延迟的新型DoG-FMF轮廓
Pub Date : 2019-10-01 DOI: 10.1109/NILES.2019.8909334
Hussein E. Seleem, H. Adam, M. Nasr
In this paper, a novel difference of Gaussian (DoG) FMF profile index has been proposed supporting six linearly polarized (LP) modes for multiple-input multiple-output (MIMO)free transmission. The fiber parameters that meet the design consideration for low differential mode delay and large effective area have been investigated using the COMSOL multi-physics simulation tool. The obtained results show that the proposed fiber reduces the dispersion coefficient and the differential mode delay over the entire range of the C-L band.
本文提出了一种支持6种线性极化(LP)模式的多输入多输出(MIMO)自由传输的高斯差分(DoG) FMF轮廓指数。利用COMSOL多物理场仿真工具对满足低差分模延迟和大有效面积设计考虑的光纤参数进行了研究。结果表明,该光纤在整个C-L波段范围内降低了色散系数和差模延迟。
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引用次数: 0
NILES 2019 Cover Page NILES 2019封面
Pub Date : 2019-10-01 DOI: 10.1109/niles.2019.8909316
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引用次数: 0
OTA-C Implementation of Fractional-Order Lead/Lag Compensators 分数阶超前/滞后补偿器的OTA-C实现
Pub Date : 2019-10-01 DOI: 10.1109/NILES.2019.8909292
S. Kapoulea, G. Tsirimokou, C. Psychalinos, A. Elwakil
A novel topology that approximates the behavior of fractional-order lead/lag compensators is introduced in this work. This is achieved using the Pade’ approximation of the function of the lead/lag compensator by a rational integer-order function. Thanks to the employment of Operational Transconductance Amplifiers as active elements, the proposed scheme offers the benefit of electronic tuning capability of the characteristics of the compensator. In addition, the presented scheme is capable of implementing both types of compensators using the same topology. The performance of the proposed topology is evaluated using the Cadence software and MOS transistor models provided by the Austria Mikro Systeme 0.35μm CMOS process.
本文介绍了一种近似分数阶超前/滞后补偿器的新颖拓扑结构。这是通过一个有理整阶函数来实现超前/滞后补偿器函数的Pade近似。由于采用运算跨导放大器作为有源元件,该方案提供了补偿器特性的电子调谐能力。此外,所提出的方案能够使用相同的拓扑实现两种类型的补偿器。利用Cadence软件和奥地利Mikro Systeme 0.35μm CMOS工艺提供的MOS晶体管模型,对所提出的拓扑结构的性能进行了评估。
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引用次数: 6
Computational Investigation Of Ducted Dual Rotor Wind Turbine 风管双转子风力机的计算研究
Pub Date : 2019-10-01 DOI: 10.1109/NILES.2019.8909321
A. Mohamed, A. El-Baz, N. Abd-Elaziz, A. Mostafa
Due to the continuous increase of energy demand in our life and global concern related to fossil fuel limitation, it is necessary to find alternative and smart solutions that can optimize the outcome from clean, reliable and sustainable sources of energy. Over last decays, all researches in wind energy have focused on the optimization of traditional wind turbines. However, several configurations of wind turbines were adopted aiming to maximize the output power from the wind. Dual Rotor Wind Turbine (DRWT) was highlighted as a system that can present higher energy extraction from the incoming air flow of the wind. In this study, it is proposed to utilize DRWT system in a ducted system “lens” to enable its applications at low wind speed regions. The aerodynamics of the combined configuration and relevant performance has been investigated using CFD modelling to solve 3-D model, turbulent, steady and incompressible flow. Mesh independent study was done to guarantee the reliability of the results and to validate the single wind turbine model. Detailed investigations and power curves are illustrated for different configurations and compared to the Single Rotor Wind Turbine (SRWT). The proposed configuration for ducted dual rotor wind turbine demonstrates higher performance over all other configurations for the same incoming airflow. DRWT found to operate at lower Tip Speed Ratio (TSR) than the SRWT. Ducted dual rotor represents a new system that has superior performance in the low wind speed region and this good performance is extended at higher wind speed.
由于我们生活中能源需求的不断增加以及全球对化石燃料限制的关注,有必要找到替代和智能的解决方案,从而优化清洁,可靠和可持续的能源。在过去的几个世纪里,所有的风能研究都集中在对传统风力发电机的优化上。然而,为了使风力输出功率最大化,采用了几种风力涡轮机配置。双转子风力发电机(DRWT)作为一种能够从风的流入气流中提取更高能量的系统而得到了重点介绍。在本研究中,我们提出将DRWT系统应用于导管系统“透镜”中,使其能够在低风速区域应用。利用CFD模型对三维模型、湍流、定常和不可压缩流动进行了研究。为了保证结果的可靠性和验证单个风力机模型,进行了网格独立研究。详细的调查和功率曲线说明了不同的配置,并与单转子风力涡轮机(SRWT)进行了比较。所提出的导管双转子风力涡轮机的配置显示出更高的性能比所有其他配置相同的传入气流。发现DRWT在比SRWT更低的叶尖速比(TSR)下运行。风管双转子是一种新型的系统,在低风速区域具有优越的性能,并在高风速下得到扩展。
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引用次数: 2
Flexible and Adaptive Testbed for 5G Experimentations 灵活、自适应的5G试验平台
Pub Date : 2019-10-01 DOI: 10.1109/NILES.2019.8909341
Abdullah Ibrahim Salama, M. M. Elmesalawy
5G mobile communication technologies with extreme cellular capabilities have gained a considerable attention at both industrial and academic sectors in the last decade. For this, researchers need to experiment different complicated architectures and advanced test scenarios with the help of testbeds. In this context, OpenAirInterface (OAI) has been introduced as an open source platform to implement testbeds for 5G experimentations based on Software Defined Radio (SDR) and general-purpose processors. However, the required manual configurations and operation of different nodes in OAI-based testbeds force researchers to spend more effort and time in building and operating the testbed rather than focusing on testing their new ideas and proposed algorithms. Thus, an innovative management platform is designed and developed to flexibly configure, operate and manage different OAI nodes in a centralized and remote manner. The platform is designed to automatically validate the consistency between different related configuration parameters for different OAI nodes, and adaptively operate different configurations and test scenarios. The operation of the developed platform is tested and its performance is validated using different test scenarios.
在过去的十年里,具有极端蜂窝功能的5G移动通信技术在工业界和学术界都受到了相当大的关注。为此,研究人员需要在试验台的帮助下进行不同复杂架构和高级测试场景的实验。在此背景下,OpenAirInterface (OAI)作为一个开源平台被引入,用于实现基于软件定义无线电(SDR)和通用处理器的5G实验测试平台。然而,在基于oai的测试平台中,需要手动配置和操作不同节点,这迫使研究人员花费更多的精力和时间来构建和操作测试平台,而不是专注于测试他们的新想法和提出的算法。为此,设计并开发了一种创新的管理平台,以集中和远程的方式灵活配置、操作和管理不同的OAI节点。该平台旨在自动验证不同OAI节点不同相关配置参数之间的一致性,并自适应运行不同的配置和测试场景。对开发的平台进行了运行测试,并通过不同的测试场景对其性能进行了验证。
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引用次数: 0
Binary Classification of Visual Scenes Using Convolutional Neural Network 基于卷积神经网络的视觉场景二值分类
Pub Date : 2019-10-01 DOI: 10.1109/NILES.2019.8909304
Aya M. Shaaban, W. Al-Atabany, N. Salem
Scene classification is a dominant track in computer vision tasks as it can help in many missions such as navigation, preprocessing, big data organization, albuming systems, and recognition applications for blinds. Recently, Convolutional Neural Network (CNN) shows noteworthy performance in enhancing the results of most image processing research points. In this paper, we use CNN for indoor-outdoor classification problem with the aid of a large database. Inception-v3 model (without its top layers) is used to extract scene features and extra three layers are attached to adopt the classification task. Our approach reaches an overall classification accuracy of 98.4% which shows the robustness of CNN over the old techniques.
场景分类是计算机视觉任务中的一个主导方向,因为它可以帮助许多任务,如导航、预处理、大数据组织、分类系统和盲人识别应用。近年来,卷积神经网络(CNN)在增强大多数图像处理研究点的结果方面表现出了显著的性能。在本文中,我们借助一个大型数据库,将CNN用于室内外分类问题。采用Inception-v3模型(没有顶层)提取场景特征,并附加额外的三层来采用分类任务。我们的方法达到了98.4%的总体分类准确率,这表明CNN比旧技术具有鲁棒性。
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引用次数: 1
Analysis of Compressive Strength of Glass Fiber Reinforced Concrete Using Design of Experiments 玻璃纤维增强混凝土抗压强度试验设计分析
Pub Date : 2019-10-01 DOI: 10.1109/NILES.2019.8909319
Mohamed A. Abdelal, A. Mohammed, M. Afifi, S. AbdelSalam
Although there are many studies on Fiber Reinforced Concrete (FRC), determining the factors having the highest impact on compressive strength of fiber reinforced concrete has little attention. In this paper a full factorial L16OA design is used to analyze the early compressive strength of Glass Fiber Reinforced Concrete (GFRC). This is to find the factors tat are significantly affecting the early compressive strength of concrete. The affecting factors were identified through Analysis of Variance (ANOVA) and main effects plots considering the interactions between the factors and the compressive strength.
虽然对纤维增强混凝土(FRC)的研究很多,但确定对纤维增强混凝土抗压强度影响最大的因素却很少受到关注。本文采用全因子L16OA设计对玻璃纤维混凝土(GFRC)的早期抗压强度进行了分析。这是为了找到显著影响混凝土早期抗压强度的因素。通过方差分析(ANOVA)和主效应图确定影响因素,考虑因素与抗压强度之间的相互作用。
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引用次数: 0
A Digital Hardware Implementation for A new Mixed-Order Nonlinear 3-D Chaotic System 一种新型混合阶非线性三维混沌系统的数字硬件实现
Pub Date : 2019-10-01 DOI: 10.1109/NILES.2019.8909309
Abdulaziz H. Elsafty, M. Tolba, L. Said, A. Madian, A. Radwan
This paper introduces a generic modeling for a 3-D nonlinear chaotic based on fractional-order mathematical rules. Also, a novel modeling for the system using a mixture between integer and fractional-order calculus is proposed. Dynamics of the new realization are illustrated using phase portrait diagrams with complex behavior. Also, a great change in the parameter ranges is investigated using bifurcation diagrams. MATLAB and Xilinx ISE 14.5 are used in system simulations. Furthermore, the digital hardware implementation is done using Xilinx FPGA Virtex −5 kit. The synthesis report shows that the mixed-order design utilizes 2019 slices and 1809 registers. The proposed system proves its possibility to be used in cryptosystems.
本文介绍了一种基于分数阶数学规则的三维非线性混沌的通用建模方法。同时,提出了一种采用整数阶微积分和分数阶微积分相结合的系统建模方法。利用具有复杂行为的相画像图说明了新实现的动力学。此外,用分岔图研究了参数范围的大变化。系统仿真使用MATLAB和Xilinx ISE 14.5。此外,使用Xilinx FPGA Virtex−5套件完成了数字硬件实现。综合报告显示,混合顺序设计使用2019片和1809寄存器。证明了该系统在密码系统中应用的可能性。
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引用次数: 2
The Enhanced Probability Hypothesis Density-based Filter for Multitarget Tracking and Counting 基于增强概率假设密度的多目标跟踪与计数滤波器
Pub Date : 2019-10-01 DOI: 10.1109/NILES.2019.8909329
AbdEl Naiem Nourhan T.A., Fahmy Hossam M.A., Anar A. Hady
Efficient multiple target tracking and counting have become an essential requirement for many wireless binary sensor networks applications. This paper investigates the problem of tracking and counting multiple individual targets that are present in a binary sensor network. An enhanced probability hypothesis density-based filter is proposed by introducing the spatial and temporal dependencies in order to improve the targets localization accuracy. This paper investigates four of the existing target tracking and counting algorithms: 1) ClusterTrack filter, 2) A Distributed energy efficient algorithm (DEE), 3) Multicolor particle filter technique (MCPF) and 4) Probability hypothesis density filter. The implementation of dynamic counting techniques is considered to improve the efficiency of the estimations of targets trajectories. Simulations compare the performance of the proposed algorithm with the previously mentioned target tracking approaches, to verify the efficiency and accuracy of the proposed target counting and tracking technique in binary sensor networks.
高效的多目标跟踪和计数已经成为许多无线二值传感器网络应用的基本要求。研究了二值传感器网络中存在的多个目标的跟踪和计数问题。为了提高目标的定位精度,通过引入时空依赖关系,提出了一种基于概率假设密度的增强滤波方法。本文研究了现有的四种目标跟踪和计数算法:1)ClusterTrack滤波,2)分布式节能算法(DEE), 3)多色粒子滤波技术(MCPF)和4)概率假设密度滤波。为了提高目标轨迹估计的效率,采用了动态计数技术。仿真比较了所提出算法与前面提到的目标跟踪方法的性能,验证了所提出的目标计数和跟踪技术在二值传感器网络中的效率和准确性。
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引用次数: 1
Development of a New Long Stroke Nanopositioning System With Modular Pantograph Compliant Mechanism 模块化受电弓柔性机构长行程纳米定位系统的研制
Pub Date : 2019-10-01 DOI: 10.1109/NILES.2019.8909342
Yasser Sayed Shama, M. Magdy, N. A. Mansour, A. El-Betar, A. El-assal
Recently, nanopositioning became one of the most indispensable technologies used in fabrication and characterization processes of micro-electromechanical systems (MEMS). Most of these processes require a positioning system that can achieve tens of millimeters stroke with a nanometer- range precision at the same time, which is impossible to achieve with conventional positioning stages. In this paper, a long stroke hybrid nanopositioning stage is presented. The proposed hybrid system consists of a new magnifying modular pantograph compliant piezo-actuated mechanism mounted above a long- stroke ball screw driven stage. This mechanism can compensate for the positioning errors of the underlying ball screw driven stage and achieve such requirements of nanometer-range precision at the same time. The dynamic model of the whole system is proposed in detail and its control system structure. Finally, the results are presented to verify the positioning accuracy of the hybrid system.
近年来,纳米定位技术已成为微机电系统(MEMS)制造和表征过程中不可或缺的技术之一。大多数这些过程都需要一个定位系统,可以同时实现几十毫米的行程和纳米范围的精度,这是传统定位阶段无法实现的。提出了一种长行程混合纳米定位平台。所提出的混合动力系统由一种新型放大模块化受电弓柔性压电驱动机构组成,该机构安装在长行程滚珠丝杠驱动台上。该机构可以补偿底层滚珠丝杠从动工作台的定位误差,同时达到纳米级精度要求。详细提出了整个系统的动力学模型及其控制系统结构。最后给出了仿真结果,验证了混合系统的定位精度。
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引用次数: 1
期刊
2019 Novel Intelligent and Leading Emerging Sciences Conference (NILES)
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