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2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)最新文献

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Symbol Error Rate and Achievable Rate of Cognitive Cooperative Radio Networks Utilizing Non-Orthogonal Multiple Access 基于非正交多址的认知协同无线网络符号错误率和可实现率
Thi My Chinh Chu, H. Zepernick
In this paper, we study the employment of power-domain non-orthogonal multiple access (NOMA) concepts for a cooperative cognitive relay network (CCRN) downlink system in order to allow a base station (BS) to simultaneously transmit signals to a primary user (PU) and a secondary user (SU). As such, the considered system falls into the field of cognitive radio inspired power-domain NOMA. In this scheme, the interference power constraint of the PU imposed to SUs in conventional underlay CCRNs is replaced by controlling the power allocation coefficients at the BS and relay. Specifically, expressions for the symbol error rates at the PU and SU for different modulation schemes as well as expressions for the achievable rates are derived. On this basis, the effect of system parameters such as total transmit power and power allocation coefficients on the performance of the CCRN with power-domain NOMA is numerically studied. These numerical results provide insights into selecting favorable operation modes of the CCRN employing power-domain NOMA.
在本文中,我们研究了功率域非正交多址(NOMA)概念在协同认知中继网络(CCRN)下行系统中的应用,以允许基站(BS)同时向主用户(PU)和副用户(SU)发送信号。因此,所考虑的系统属于认知无线电启发的功率域NOMA领域。在该方案中,通过控制BS和继电器的功率分配系数来取代传统底层ccrn中PU对su的干扰功率约束。具体地说,推导了不同调制方案下在PU和SU处的符号误码率表达式以及可实现的误码率表达式。在此基础上,数值研究了总发射功率和功率分配系数等系统参数对功率域NOMA CCRN性能的影响。这些数值结果为采用功率域NOMA选择合适的CCRN工作模式提供了参考。
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引用次数: 0
Development of an Impedance Spectroscopy Measurement Circuit Board for Protein Detection 蛋白质检测用阻抗谱测量电路板的研制
Vu Quoc Tuan, N. Nguyen, Meng-Syuan Wu, C. Jen, B. T. Tung, Chu Duc Trinh
This study reports the results on the development of an electrical impedance-based protein detection circuit board for the protein detection biochip. A digital quadrature phase shift module, which can generate two sine waves with 90-degree difference in phase in a large frequency range is employed for lock-in amplifier block for impedance profiling. A microcontroller is used for frequency selection and data acquisition. The measurement module is connected with a computer to display the impedance profile. The implemented board were applied to protein detection biochip to detect the presence of the protein of interest in an essay sample. Experiment is performed for 10 μM Bovine serum albumin (BSA) labeled with fluorescein isothiocyanate (FITC-BSA) protein sample in 10 mM PBS medium solution with the frequency range from 10 kHz to 200 kHz. The measured results reveal a clear impedance change between before and after trapping protein on the microelectrodes of the biochip. The developed electrical impedance spectroscopy board enables rapid and effective protein detection at low concentration.
本研究报告了一种用于蛋白质检测生物芯片的基于电阻抗的蛋白质检测电路板的开发结果。锁相放大器采用数字正交移相模块,该模块可以在大频率范围内产生两个相位差为90度的正弦波。单片机用于频率选择和数据采集。测量模块与计算机连接,显示阻抗曲线。所实现的板应用于蛋白质检测生物芯片,以检测论文样品中感兴趣的蛋白质的存在。实验采用10 μM异硫氰酸荧光素(FITC-BSA)蛋白标记牛血清白蛋白(BSA)样品,在10 mM PBS介质溶液中,频率范围为10 kHz ~ 200 kHz。测量结果显示,在生物芯片的微电极上捕获蛋白质前后,阻抗发生了明显的变化。开发的电阻抗谱板可以在低浓度下快速有效地检测蛋白质。
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引用次数: 0
On Selecting the Appropriate Scale in Image Selective Smoothing by Nonlinear Diffusion 基于非线性扩散的图像选择平滑中合适尺度的选择
V. B. Surya Prasath, D. N. Thanh, N. H. Hai
Image denoising and selective smoothing are important research problems in the area of image processing and computer vision. Partial differential equation (PDE) model filters were widely utilized due to their robust anisotropic diffusion properties that preserve edges. Spatial regularization via Gaussian low-pass filtering is used in well posed anisotropic diffusion PDE for image restoration that involves a crucial scale parameter. In this work, we provide an appropriate scale selection approach that obtains improved selective smoothing with nonlinear diffusion. Experimental results indicate the promise of such a strategy on a variety of synthetic and real noisy images. Further, compared to other diffusion PDE models the proposed technique improves the quality of final denoised images in terms of higher peak signal to noise ratio and structural similarity.
图像去噪和选择性平滑是图像处理和计算机视觉领域的重要研究课题。偏微分方程(PDE)模型滤波器由于其鲁棒的各向异性扩散特性而得到了广泛的应用。采用高斯低通滤波的空间正则化方法,对具有重要尺度参数的各向异性扩散偏微分方程进行图像恢复。在这项工作中,我们提供了一种适当的尺度选择方法,可以获得改进的非线性扩散选择平滑。实验结果表明,该策略在各种合成和真实的噪声图像上都有很好的应用前景。此外,与其他扩散PDE模型相比,该技术在更高的峰值信噪比和结构相似性方面提高了最终去噪图像的质量。
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引用次数: 18
Nested One-Class Support Vector Machines for Network Intrusion Detection 网络入侵检测的嵌套单类支持向量机
Q. Nguyen, Truong Thu Huong, Kim Phuc, Minh Le Nguyen, P. Castagliola, Salim Lardjane
One-class support vector machines (OCSVM) have been recently applied in intrusion detection. Typically, OCSVM is kernelized by radial basis functions (RBF, or Gaussian kernel) whereas selecting Gaussian kernel hyperparameter is based upon availability of attacks, which is rarely applicable in practice. This paper investigates the application of nested OCSVM to detect intruders in network systems with data-driven hyperparameter optimization. The nested OCSVM is able to improve the efficiency over the proposed OCSVM applied in intrusion detection. In addition, the information of the farthest and the nearest neighbors of each sample is used to construct the objective cost instead of labeling based metrics such as geometric mean accuracy. The efficiency of this method is illustrated over the KDD99 dataset whereas the resulting estimated boundary, as well as intrusion detection performance, are comparable with existing methods. The experimental results show that the nested OCSVM method performs better than OCSVM for intrusion detection. The nested OCSVM with 12 density levels achieves 98.28% in accuracy and higher true alarming rate (TP) comparing to OCSVM.
一类支持向量机(OCSVM)最近在入侵检测中得到了应用。通常,OCSVM采用径向基函数(RBF)或高斯核(Gaussian kernel)进行核化,而高斯核超参数的选择是基于攻击的可用性,这在实际中很少应用。研究了基于数据驱动超参数优化的嵌套OCSVM在网络系统入侵检测中的应用。在入侵检测中,嵌套的OCSVM比现有的OCSVM提高了效率。此外,每个样本的最近邻和最近邻的信息被用来构建客观成本,而不是基于标记的指标,如几何平均精度。通过KDD99数据集证明了该方法的有效性,而得到的估计边界以及入侵检测性能与现有方法相当。实验结果表明,嵌套OCSVM方法在入侵检测中的性能优于OCSVM方法。与OCSVM相比,12个密度等级的嵌套OCSVM准确率达到98.28%,真报警率(TP)更高。
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引用次数: 8
ICCE 2018 TOC
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引用次数: 0
A Novel Time- and Energy-Efficient Tag Identification Protocol in Dense RFID Systems 密集RFID系统中一种新型的时间和节能标签识别协议
L. T. Hoang, Chuyen T. Nguyen, A. Pham
This paper proposes a novel time- and energy-efficient identification protocol in dense radio frequency identifi-cation (RFID) systems. The protocol is based on the conventional M-ary collision tree (MCT) where tags involving a collision are classified into other M sub-trees. Nevertheless, different from the MCT, we design a transmission mechanism by which each tag only responds to the reader by a small number of bits for a collision detection. The mechanism is relied on a collision window and Manchester encoding that are widely used for RFID systems. Thanks to the mechanism, the number of bits transmitted by tags is significantly reduced, which improves the overall system performance in terms of both time and energy consumption. Performance analysis is investigated to validate the correctness of the mechanism. Computer simulations are also performed using Monte-Carlo method. The obtained results are then compared with those of the MCT to confirm the effectiveness of the proposed protocol.
提出了一种新型的高效节能的密集射频识别(RFID)协议。该协议基于传统的M- ry冲突树(MCT),其中涉及冲突的标签被分类到其他M个子树中。然而,与MCT不同的是,我们设计了一种传输机制,通过该机制,每个标签仅通过少量比特来响应阅读器进行碰撞检测。该机制依赖于碰撞窗口和曼彻斯特编码,这两种编码广泛用于RFID系统。由于这种机制,标签传输的比特数大大减少,从而在时间和能量消耗方面提高了系统的整体性能。通过性能分析验证了该机制的正确性。采用蒙特卡罗方法进行了计算机模拟。然后将得到的结果与MCT的结果进行比较,以证实所提出协议的有效性。
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引用次数: 0
Downlink Outage Analysis for Cognitive Cooperative Radio Networks Employing Non-Orthogonal Multiple Access 非正交多址认知协同无线网络下行中断分析
Thi My Chinh Chu, H. Zepernick
In this paper, we employ power-domain non-orthogonal multiple access (NOMA) to simultaneously transmit signals to both a primary user (PU) and a secondary user (SU) of a cognitive cooperative radio network (CCRN). Higher priority is given to the PU over the SU by keeping the power allocation coefficients at the base station (BS) and relay (R) above a certain threshold. In this way, similar as the interference power limit imposed by the PU in a conventional underlay CCRN, the power allocation coefficients at the BS and R of the CCRN can be controlled to maintain a given outage performance. Analytical expressions of the cumulative distribution function of the end-to-end signal-to-interference-plus-noise ratios at the PU and SU are derived and then used to assess the outage probabilities of both users. Numerical results are presented to study the impact of system parameters on outage performance of the CCRN with power-domain NOMA. In addition, it is illustrated that increased downlink performance can be obtained by combining power-domain NOMA with CCRNs.
在本文中,我们采用功率域非正交多址(NOMA)来同时向认知协同无线网络(CCRN)的主用户(PU)和副用户(SU)发送信号。通过将基站(BS)和中继(R)的功率分配系数保持在一定的阈值以上,使PU的优先级高于SU。通过这种方式,类似于传统底层CCRN中PU施加的干扰功率限制,可以控制CCRN的BS和R处的功率分配系数以保持给定的停机性能。推导了端到端PU和SU的信噪比累积分布函数的解析表达式,然后用于评估两个用户的中断概率。通过数值结果研究了系统参数对基于功率域NOMA的CCRN中断性能的影响。此外,通过将功率域NOMA与ccrn相结合,可以获得更高的下行性能。
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引用次数: 4
Circular Polarization Dual-Feed Array Antenna for X-Band Satellite Communication 用于x波段卫星通信的圆极化双馈阵天线
Nguyen Duy Phong, Linh Ho Manh, Kiem Nguyen Khac, Dao Ngoc Chien
A circular polarization dual-feed array antenna for X-band satellite is proposed. In this paper, sequential phased rotation principle applied for 2×2 sub-arrays and 4×4 array is introduced. A dual feeding network for single element is analyzed and designed in such a way that it can obtain 90 degree phase difference and 1:1 power ratio for each output port. The capacitive annular gaps are placed on inside of square driver patch for impedance matching. Consequently, X-band ranging from 8.04 to 8.4 GHz is covered completely and axial ratio is less than 2 dB. An 4×4 array antenna has a simulated gain of 13.76 dBi is achieved at 8.2 GHz. The whole antenna achieves a compact size and shows a great potential in satellite communication.
提出了一种用于x波段卫星的圆极化双馈阵天线。本文介绍了序贯相转原理在2×2子阵和4×4阵中的应用。分析设计了单元件双馈电网络,使其各输出端口相位差为90度,功率比为1:1。电容环隙置于方形驱动器补片内部,以实现阻抗匹配。因此,8.04 ~ 8.4 GHz的x波段被完全覆盖,轴比小于2 dB。在8.2 GHz下,4×4阵列天线的模拟增益为13.76 dBi。整个天线实现了紧凑的尺寸,在卫星通信中显示出巨大的潜力。
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引用次数: 3
Benchmarking the ONOS Controller with OFCProbe 用OFCProbe对ONOS控制器进行基准测试
A. Nguyen-Ngoc, Simon Raffeck, Stanislav Lange, Stefan Geissler, T. Zinner, P. Tran-Gia
The increased popularity of Software Defined Networking (SDN) drives the development and research of all involved components. In particular, state-of-the-art SDN controllers are a central part of the resulting network architecture and have a large impact on the performance of the entire network. Hence, it is necessary to quantify various performance indicators of the SDN controller in order to assess its feasibility in the context of different network characteristics such as topology and network size w.r.t. the number of nodes and links.To this end, we extend the open-source controller benchmarking tool OFCProbe with several novel modules that are capable of recording relevant performance metrics and demonstrate their use in the context of benchmarking the ONOS controller. Furthermore, we investigate the impact of different types of topology characteristics on the performance of the controller.In this work, we focus on several performance indicators for SDN controllers. First, the time that the ONOS controller needs to discover the network topology and update its internal representation of the topology. Second, we investigate the duration of the installation of flow rules that are used for reactive path provisioning. Finally, we measure the response time of the controller when dealing with asynchronous messages.
软件定义网络(SDN)的日益普及推动了所有相关组件的开发和研究。特别是,最先进的SDN控制器是最终网络架构的中心部分,对整个网络的性能有很大的影响。因此,有必要对SDN控制器的各项性能指标进行量化,以评估其在不同网络特征(如拓扑和网络规模,而不是节点和链路数量)背景下的可行性。为此,我们用几个新颖的模块扩展了开源控制器基准测试工具OFCProbe,这些模块能够记录相关的性能指标,并演示它们在ONOS控制器基准测试中的使用情况。此外,我们还研究了不同类型的拓扑特征对控制器性能的影响。在这项工作中,我们重点研究了SDN控制器的几个性能指标。首先,ONOS控制器发现网络拓扑并更新其内部拓扑表示所需的时间。其次,我们研究用于响应路径配置的流规则的安装持续时间。最后,我们测量了控制器在处理异步消息时的响应时间。
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引用次数: 7
Reversible Data Hiding for Medical Images Using Boundary Expandable Schemes 使用边界可扩展方案的医学图像可逆数据隐藏
Nai-Kuei Chen, Shi-Yao Zhou, Chih-Chien Cheng, Chung-Yen Su
The researches of Internet of things are getting more and more popular these years. To exchange secret data through the internet, the reversible data hiding technique plays an important role. As we know, since medical images generally consist of many pure black and white points, traditional reversible data hiding techniques encounter some bottlenecks in medical images. These points are called boundary points and they may cause the overflow and underflow problems to happen after data hiding. In this paper, we propose a new reversible data hiding method to solve these problems. The method is a hybrid scheme based on the one-dimension and two-dimension difference expansions. We introduce an efficient classification to interchange the expansion schemes. In addition, we introduce boundary expandable schemes. We demonstrate the effectiveness of the proposed method across a wide range of medical images. Compared with the previous methods, the proposed one has higher hiding capacity, higher image quality, and less size of location map. To get further applications precisely, we also demonstrate the proposed scheme on a mobile device to show its application on the internet of healthcare.
近年来,物联网的研究越来越受到人们的关注。为了在互联网上交换保密数据,可逆数据隐藏技术起着重要的作用。众所周知,由于医学图像通常由许多纯黑白点组成,传统的可逆数据隐藏技术在医学图像中遇到了一些瓶颈。这些点被称为边界点,它们可能导致数据隐藏后的溢出和下溢问题。本文提出了一种新的可逆数据隐藏方法来解决这些问题。该方法是一种基于一维和二维差分展开的混合方案。我们引入了一种有效的分类来交换扩展方案。此外,我们还引入了边界可拓格式。我们在广泛的医学图像中证明了所提出方法的有效性。与以前的方法相比,该方法具有更高的隐藏能力、更高的图像质量和更小的地形图尺寸。为了获得更精确的应用,我们还在移动设备上演示了所提出的方案,以展示其在医疗互联网上的应用。
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引用次数: 0
期刊
2018 IEEE Seventh International Conference on Communications and Electronics (ICCE)
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