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2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)最新文献

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Dual-band microstrip line-fed antenna with fractal Spidron defected ground structure 具有分形蜘蛛缺陷地面结构的双频微带馈线天线
Munish Kumar, V. Nath
In this paper, a microstrip line-fed antenna with a Spidron fractal shape in the ground plane is presented. The proposed antenna is able to work in two frequency bands i.e. from 6.27–6.97 GHz and 15.73–19.38 GHz with corresponding resonant frequencies of 6.57 and 17.61 GHz. The impedance bandwidth obtained for both operating bands is 0.703 GHz and 3.64 GHz respectively. High gain of 9.04 dB and 7.82 dB for both bands is obtained. Due to the Spidron defected ground structure, the decrease in the resonant frequency can be seen. The volumetric dimensions of the proposed antenna are highly compact (36 mm×36 mm×0.762 mm) and hence, can be easily integrated with other microwave circuits. The proposed structure covers super-extended C-band, partial K-band and Ku-band, hence suitable for several satellite transmission applications. The proposed antenna designs have been simulated using ANSYS HFSS. The design concepts, rules and procedure for the proposed antenna are also discussed in detail.
本文提出了一种具有蜘蛛形的微带馈线天线。该天线能够工作在6.27-6.97 GHz和15.73-19.38 GHz两个频段,对应的谐振频率为6.57和17.61 GHz。两个工作频段的阻抗带宽分别为0.703 GHz和3.64 GHz。两个频段的增益分别为9.04 dB和7.82 dB。由于地面结构有Spidron缺陷,可以看到谐振频率的降低。所提出的天线的体积尺寸非常紧凑(36 mm×36 mm×0.762毫米),因此,可以很容易地与其他微波电路集成。该结构涵盖超扩展c波段、部分k波段和ku波段,因此适合多种卫星传输应用。采用ANSYS HFSS对所提出的天线设计进行了仿真。文中还详细讨论了天线的设计思想、设计规则和设计步骤。
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引用次数: 6
QoS routing design for adaptive streaming in Software Defined Network 软件定义网络中自适应流的QoS路由设计
Xianshu Jin, Hwiyun Ju, Sungchol Cho, B. Mun, Cheongbin Kim, Sunyoung Han
Adaptive streaming over HTTP(DASH) is a popular method to deliver best possible quality media using available network resources. In this paper we propose QoS routing algorithm design for providing high quality and continuous stream of media streaming in SDN(Software Defined Network). To provide seamless DASH service over SDN is a challenge because traditional DASH service manner mismatches with SDN per-flow centralized management architecture. Therefore, it is necessary to have some interactions between communication layers for making routing decision. Firstly, we propose server driven bit rate estimation approach to computes video bit rate and inform the application QoS requirement to the control layer. The media server estimates the resources available and dynamically adapts the video bit rate in order to reduce additional software stacks on end-user devices. We also present a Kalman Filter based rate adaptation mechanism that predicts the next bit rate of the media in a seamless manner. Secondary, we propose a QoS routing design for adaptive stream, it allows SDN controller evaluates all passable paths based on whole network topology by taking the bit rate of the segments in to account. We perform an experiment and presented the server driven bandwidth estimation mechanism to compute the appropriate bit rate and rate switching in smooth manner. We also construct a SDN testbed for QoS routing algorithm for adaptive streaming, it shows additional reroute step to find path that satisfy the bitrate before downgrade the video quality.
基于HTTP的自适应流(DASH)是一种使用可用网络资源交付尽可能高质量媒体的流行方法。为了在软件定义网络(SDN)中提供高质量和连续的媒体流,本文提出了QoS路由算法设计。由于传统的DASH服务方式与SDN逐流集中式管理架构不匹配,在SDN上提供无缝DASH服务是一个挑战。因此,为了进行路由决策,通信层之间有必要进行一定的交互。首先,我们提出了服务器驱动的比特率估计方法来计算视频比特率,并将应用的QoS要求告知控制层。媒体服务器估计可用资源并动态调整视频比特率,以减少终端用户设备上额外的软件堆栈。我们还提出了一种基于卡尔曼滤波的速率自适应机制,以无缝的方式预测媒体的下一个比特率。其次,我们提出了一种自适应流的QoS路由设计,它允许SDN控制器通过考虑段的比特率来评估基于整个网络拓扑的所有可通过路径。我们进行了实验,提出了服务器驱动的带宽估计机制,以平稳地计算适当的比特率和速率切换。本文还构建了自适应流的QoS路由算法的SDN测试平台,在降低视频质量之前,它显示了额外的重路由步骤,以找到满足比特率的路径。
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引用次数: 10
Single image fog removal algorithm based on an improved dark channel prior method 基于改进暗通道先验法的单幅图像去雾算法
Chi-Chia Sun, Heng-Chi Lai, M. Sheu, Yi Huang
Recently, how to make surveillance cameras running in all weather conditions become a very important research topic. Because surveillance images are often influenced by the weather conditions in a real world. In this paper, a fast single image fog removal algorithm based on an improved dark channel prior method is proposed. Compared to the latest works, the proposed algorithm can increase 28.5% computing speed and 41.8% image contrast ratio. Meanwhile, it can remove fog efficiently without the influence in the night too.
近年来,如何使监控摄像机全天候运行成为一个非常重要的研究课题。因为监控图像经常受到现实世界天气状况的影响。本文提出了一种基于改进暗通道先验法的单幅图像快速去雾算法。与最新成果相比,该算法可提高28.5%的计算速度和41.8%的图像对比度。同时,它还能有效地除雾,不受夜间的影响。
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引用次数: 7
A high performance micromachined CPW fed aperture coupled compact patch antenna using a double-tuned impedance matching method 一种采用双调谐阻抗匹配方法的高性能微加工CPW馈电孔径耦合紧凑贴片天线
K. Kanjanasit, Changhai Wang
This paper presents the design and fabrication of a high-performance patch antenna for operation over the X-band (8 – 12 GHz) frequency region. A wide impedance bandwidth is obtained using a double-tuned impedance matching technique. The wideband antenna consists of a short-end CPW and the coupling aperture on an FR4 substrate, and a suspended patch. The triple resonance effect associated with the characteristics of the double-tuned aperture and the patch is used to achieve wideband performance. The effects of the design parameters of the CPW line, the aperture, air gap and the patch are studied. The patch was fabricated on a thin film LCP substrate. A laser micromachined polymer rim was used to create an air gap between the LCP substrate and the FR4 substrate. The measured results show a good agreement with that of the simulation work. The impedance bandwidth of the antenna is as large as 41% covering the X-band. The 3-dB gain bandwidth is 43% and the maximum gain is 8.5 dBi.
本文介绍了一种高性能贴片天线的设计和制造,用于在x波段(8 - 12ghz)频率区域工作。采用双调谐阻抗匹配技术获得了较宽的阻抗带宽。该宽带天线由一个短端CPW和FR4基板上的耦合孔径以及一个悬浮贴片组成。利用双调谐孔径和贴片特性的三重共振效应来实现宽带性能。研究了CPW线、孔径、气隙和贴片等设计参数对其性能的影响。该贴片是在薄膜LCP衬底上制备的。使用激光微加工聚合物边缘在LCP衬底和FR4衬底之间形成气隙。实测结果与仿真结果吻合较好。天线的阻抗带宽高达41%,覆盖了x波段。3db增益带宽为43%,最大增益为8.5 dBi。
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引用次数: 1
Data detection method from printed images with different resolutions using tablet device 利用平板设备对不同分辨率的印刷图像进行数据检测的方法
Yuuya Moritani, Atsushi Yoshihara, Nayuta Jinda, M. Muneyasu
In this paper, we propose a method of embedding and detecting data in printed images with several resolutions using the camera of a tablet device. The proposed method is based on a method that uses block division and code diffusion. To specify the resolution of an image and the number of blocks, invisible markers that are embedded in the amplitude domain of the discrete Fourier transform of the target image are used. The angles between the markers and the x-axis are used to specify the resolution and the number of blocks. The proposed method can increase the variety of images suitable for data embedding. From experimental results obtained using a tablet device, it is shown that the proposed method is effective for specifying the resolution and the number of blocks in a captured image.
在本文中,我们提出了一种利用平板设备的相机在不同分辨率的印刷图像中嵌入和检测数据的方法。该方法基于分块分割和代码扩散的方法。为了指定图像的分辨率和块的数量,使用嵌入在目标图像的离散傅里叶变换的幅度域中的不可见标记。标记和x轴之间的角度用于指定分辨率和块的数量。该方法可以增加适合数据嵌入的图像种类。在平板设备上的实验结果表明,该方法可以有效地指定捕获图像的分辨率和块数。
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引用次数: 3
An inverse tone mapping operator based on Reinhard's global operator 基于Reinhard全局算子的逆调映射算子
Yuma Kinoshita, Sayaka Shiota, H. Kiya
A number of inverse tone mapping operators (TMOs) for dynamic range expansion have been proposed due to the need to visualize low dynamic range (LDR) images on high dynamic range (HDR) devices. This paper proposes a novel inverse TMO, which enables to generate HDR images from LDR ones, not only without using any specific parameters but also at low computing costs. Furthermore, the inverse TMO has a new characteristic when an LDR image is mapped from an HDR one by Reinhard's global operator. In the case, the HDR image reconstructed by the proposed method without parameters can be remapped into the same image as that remapped from an HDR one reconstructed with parameters. Experimental results show that the proposed inverse tone mapping (TM) operation can be carried out, while keeping better structural similarity and lower computing cost than conventional methods.
由于需要在高动态范围(HDR)设备上显示低动态范围(LDR)图像,因此提出了许多用于动态范围扩展的逆色调映射算子(TMOs)。本文提出了一种新的逆TMO方法,可以在不使用任何特定参数的情况下从LDR图像生成HDR图像,而且计算成本低。此外,当使用Reinhard全局算子从HDR图像映射LDR图像时,逆TMO具有新的特征。在这种情况下,采用该方法重构的无参数HDR图像可以与带参数重构的HDR图像重新映射为同一图像。实验结果表明,所提出的逆色调映射(TM)运算可以实现,同时保持了较好的结构相似度和较低的计算成本。
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引用次数: 3
Automatic background subtraction algorithm for 3D object by using connected-component labeling algorithm 基于连通分量标记算法的三维目标背景自动减去算法
N. Wongwaen, C. Sinthanayothin
This paper proposes an automatic background subtraction algorithm for 3D object. The objective is to apply the algorithm to quickly pick out the 3D object from background when the position is roughly fixed. The method consists of 3 main steps as follows. First step creates a box for hold all 3D data. Second step projects the whole 3D points on a horizontal plane which is align on the middle of the box, then converts the 3D projected points into 2D black and white image. Final step applies connected component labeling algorithm for classifying black pixels, in order to find the group which satisfies the object constraints and to render associated 3D points. The experimental results shown that the whole process takes 1.6 sec on average, with 90 % accuracy.
提出了一种三维物体背景自动减法算法。目标是应用该算法在位置大致固定的情况下快速从背景中挑选出3D物体。该方法包括以下3个主要步骤。第一步创建一个保存所有3D数据的盒子。第二步,将整个3D点投影到对齐在框中央的水平面上,然后将3D投影点转换成二维黑白图像。最后一步采用连通分量标记算法对黑色像素进行分类,找到满足对象约束的组,并渲染相关的三维点。实验结果表明,整个过程平均耗时1.6秒,准确率达90%。
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引用次数: 0
A single iteration belief propagation algorithm to minimize the effects of primary user emulation attacks 采用单次迭代信念传播算法,最大限度地减少主用户仿真攻击的影响
Sasa Maric, S. Reisenfeld, L. Goratti
This paper presents a method to alleviate the effects of primary user emulation attacks in cognitive radio (CR) networks. The proposed method uses a simplified belief propagation (BP) algorithm that is able to identify whether a transmitter is a legitimate primary user or an attacker. In a primary user emulation attack (PUEA) a transmitter impersonates a primary user (PU) in order to deceive secondary users (SU) into believing that a channel is occupied. As a result, secondary users must vacate the channel immediately. This paper presents a simplified belief propagation method as a defence strategy against primary user emulation attacks. In our method each secondary user examines an incoming signal from a transmitter and determines with a certain probability whether the transmitter is a legitimate user or not. This probability is known as the belief. The beliefs at each secondary user are reconciled and a final belief is compared to a predefined threshold. If the final belief is below the threshold, the user is identified as an attacker. If it is above the threshold, the user is deemed a primary user. This result is then propagated throughout the network so that all users on the network are aware of the attacker. In this paper, we present a method based on the belief propagation framework. The proposed method converges in a single iteration; this is the result of a redefined messaging protocol and a simplified belief equation. As a result, the computational complexity of the method is reduced significantly, while still maintaining a high level of accuracy.
提出了一种在认知无线电(CR)网络中减轻主用户仿真攻击影响的方法。该方法采用一种简化的信念传播(BP)算法,能够识别发送者是合法的主用户还是攻击者。在主用户模拟攻击(PUEA)中,发射机模仿主用户(PU)以欺骗辅助用户(SU),使其相信信道已被占用。因此,辅助用户必须立即腾出通道。本文提出了一种简化的信念传播方法作为主用户仿真攻击的防御策略。在我们的方法中,每个辅助用户检查来自发射机的传入信号,并以一定的概率确定发射机是否是合法用户。这种可能性被称为信念。对每个次要用户的信念进行协调,并将最终信念与预定义的阈值进行比较。如果最终信念低于阈值,则将该用户识别为攻击者。如果超过阈值,则认为该用户是主用户。然后,这个结果在整个网络中传播,以便网络上的所有用户都知道攻击者。本文提出了一种基于信念传播框架的方法。该方法在单次迭代中收敛;这是重新定义的消息传递协议和简化的信念方程的结果。因此,该方法的计算复杂度大大降低,同时仍保持较高的精度。
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引用次数: 10
Identification of a Box-Jenkins structured two stage cascaded model using Simplex Particle Swarm Optimization algorithm 基于单纯形粒子群优化算法的Box-Jenkins二级级联模型辨识
P. Pal, A. Dasgupta, J. Akhil, R. Kar, D. Mandal, S. P. Ghosal
This paper delivers an efficient and accurate approach for identification of a Box-Jenkins (BJ) structure based Wiener model with Simplex Particle Swarm Optimization (SPSO) algorithm. The accuracy and the precision of the identification scheme have been justified with the reported bias and variance information, respectively, of the estimated parameters. The output mean square error (MSE) has been considered as the fitness function to be optimized for the SPSO algorithm. The accuracy and the consistency of the identification of the Hammerstein system have been justified with the corresponding statistical information of the MSE. Accurate identification of the parameters associated with the linear dynamic sub-system ensures the stability of the overall closed loop system.
本文提出了一种基于单纯形粒子群优化(SPSO)算法的Box-Jenkins (BJ)结构Wiener模型的高效、准确识别方法。用估计参数的偏差和方差信息分别证明了识别方案的准确性和精度。输出均方误差(MSE)被认为是SPSO算法要优化的适应度函数。用MSE的相应统计信息验证了Hammerstein系统识别的准确性和一致性。准确识别与线性动态子系统相关的参数,保证了整个闭环系统的稳定性。
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引用次数: 0
Performance study of IEEE 802.11p in blind corner scenario IEEE 802.11p在盲角场景下的性能研究
Sanchai Jaktheerangkoon, K. N. Nakorn, K. Rojviboonchai
In present, IEEE 802.11p is a standard for vehicle communication which can enhance quality of road transportation. The communication in non-line-of-sight is an important scenario that has to be inspected deeply. Because in non-line-of-sight or blind corner scenario, the signals may be obstructed. This reason would lead to communication loss, and be a big challenge for building safety applications. In this paper, we conduct real experiments at different types of blind corners and propose success rate of transmitted packets and RSSI of the received packets. Moreover, we suggest number of packets that have to be sent to ensure that at least one packet is delivered successfully. Our results show that the communication range in blind corner is less than 60 m from the corner, and for the worst case, the communication range is only 20 m from the corner. Our research is useful in daily life and can be contributed to safety applications and protocols implementation, roads and buildings construction, and network simulations.
目前,IEEE 802.11p是提高道路运输质量的车辆通信标准。非视距通信是一个必须深入研究的重要场景。因为在非视距或死角情况下,信号可能会受到干扰。这个原因会导致通信丢失,对建筑安全应用来说是一个巨大的挑战。在本文中,我们对不同类型的盲角进行了真实实验,提出了传输数据包的成功率和接收数据包的RSSI。此外,我们建议必须发送的数据包数量,以确保至少有一个数据包被成功传递。结果表明,在盲角情况下,通信距离小于60 m,最坏情况下,通信距离仅为20 m。我们的研究在日常生活中很有用,可以为安全应用和协议实现,道路和建筑物建设以及网络模拟做出贡献。
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引用次数: 4
期刊
2016 International Symposium on Intelligent Signal Processing and Communication Systems (ISPACS)
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