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2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)最新文献

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Voltage regulation of DC-DC Boost converter using Modified IMC controller 基于改进IMC控制器的DC-DC升压变换器电压调节
K. S. Kumar, Sudeep Sharma, P. Padhy
In this work, voltage regulation of the DC-DC Boost converter has been discussed. It is observed that boost converter shows non-minimum phase behavior when it is operated in continuous conduction mode of operation (CCM). Therefore, the proper voltage regulation in CCM mode has been done using modified IMC controller and then compared with control algorithms like PID control technique, IMC controller. To study the performance of these control methods, these are implemented in Matlab/ Simulink environment. The simulation results witness that the modified IMC controller is giving the better output voltage regulation compared with the conventional PID controller and IMC controller.
本文讨论了直流-直流升压变换器的电压调节问题。在连续导通工作模式下,升压变换器表现出非最小相位行为。因此,采用改进的IMC控制器对CCM模式下的电压进行了适当的调节,并与PID控制技术、IMC控制器等控制算法进行了比较。为了研究这些控制方法的性能,在Matlab/ Simulink环境下实现了这些控制方法。仿真结果表明,与传统PID控制器和IMC控制器相比,改进后的IMC控制器具有更好的输出稳压性能。
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引用次数: 4
Hemorrhage segmentation by fuzzy c-mean with Modified Level Set on CT imaging 基于改进水平集的模糊c均值分割出血CT图像
Pankaj Singh, Vandana Khanna, Meenu Kamal
Intracranial hemorrhage is the primary cause of death for patients in early age. Lives of these patients depend on proper or accurate detection of Intracranial Hemorrhage (ICH). This paper presents a hybrid method of fuzzy c mean (FCM) clustering and modified version of distance regularize level set evolution (MDRLSE). Membership values and cluster center are used in FCM clustering for dividing hemorrhagic images into different clusters. One cluster is selected from the FCM clustered images which is used for initialization of MDRLSE. Level set function used in MDRLSE does not require re-initialization process. So convergence speed of active contour propagation becomes faster. Numbers of iterations are reduced in level set method because large time step is used by the MDRLSE method. Proposed hybrid method is evaluated on CT mages of 20 patients suffering from ICH. Result of proposed method provides highest accuracy as compared with FCM method and thresholding method.
颅内出血是早期患者死亡的主要原因。这些患者的生命取决于颅内出血(ICH)的正确或准确的检测。提出了一种模糊均值聚类与改进的距离正则化水平集进化(MDRLSE)的混合方法。在FCM聚类中,利用隶属度值和聚类中心将出血图像划分为不同的聚类。从FCM聚类图像中选择一个聚类用于初始化MDRLSE。MDRLSE中使用的Level set功能不需要重新初始化过程。从而使主动轮廓传播的收敛速度加快。由于MDRLSE方法使用了较大的时间步长,因此减少了水平集方法的迭代次数。本文对20例脑出血患者的CT图像进行了评价。结果表明,与FCM法和阈值法相比,该方法具有较高的精度。
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引用次数: 10
Gain Improvement of Circular Patch Antenna with Frequency Selective Surface 频率选择表面对圆形贴片天线增益的改善
Praful Ranjan, A. Sagar
This Paper has designed for the frequency 5.8GHz. This resonating mode used for dedicated short range communication, RFID and Wireless Communication applications by make use of circular patch antenna and frequency selective surface. The proposed antenna has a circular patch with radius 9.8mm and dielectric constant RT duroid 2.2 is simulated. In this paper gain has improved by using frequency selective surface which contains a systematic arrangement of triangular shape on its surface. Comparison of circular patch antenna, with adding frequency selective surface, gain has improved from 7.169dBi to 10.701dBi and returns loss and VSWR are also improved. The main advantage of this antenna is improving the gain. Design and analysis of this circular patch antenna with frequency selective surface has been done in HFSS software.
本文设计的频率为5.8GHz。这种谐振方式利用圆形贴片天线和频率选择表面,用于专用短距离通信、RFID和无线通信应用。该天线具有半径为9.8mm的圆形贴片,模拟了介电常数rt_2.2。本文采用在其表面上有系统排列的三角形的频率选择表面,提高了增益。与圆形贴片天线相比,增加频率选择面后,增益从7.169dBi提高到10.71 dbi,回波损耗和驻波比也有所改善。这种天线的主要优点是提高了增益。在HFSS软件中对这种具有频率选择表面的圆形贴片天线进行了设计和分析。
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引用次数: 2
Design of Ultra Low Power, Temperature Independent Resistorless Bandgap Reference Circuit in 0.18 μm CMOS 基于0.18 μm CMOS的超低功耗、温度无关型无电阻带隙参考电路设计
Monika Gupta, R. Sharma
A low power resistor-less voltage reference circuit is proposed in this paper. The proposed circuit has been designed and simulated using a standard 0.18μm CMOS technology, which provides a stable reference voltage at output, independent of variation in power supply and temperature. The circuit provides reference voltage of 1.15V and current of 0.14μA with temperature coefficient of 11ppm/°C and line of regulation of 20%/V in temperature range of -45 to 125 °C while consuming power of 0.25μW at 1.8V of power supply.
本文提出了一种低功率无电阻电压基准电路。该电路采用标准的0.18μm CMOS技术设计和仿真,在输出端提供稳定的参考电压,不受电源和温度变化的影响。该电路的参考电压为1.15V,电流为0.14μA,温度系数为11ppm/°C,在-45 ~ 125°C的温度范围内稳压线为20%/V,电源电压为1.8V时功耗为0.25μW。
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引用次数: 0
Genetic Algorithm based Approach to Determine Optimal Collection Points for Big Data Gathering in Distributed Sensor Networks 基于遗传算法的分布式传感器网络大数据最优采集点确定方法
Alekha Kumar Mishra, Suma Shree Thota, Simrat Bains, M. Das, Shruti Singhai, Siddhant Choudhary, A. Tripathy
In recent of data, distributed sensor networks have become one of the primary source of generating big data. Therefore energy- efficient data gathering in densely distributed sensor networks is a demanding area of research. Among the various techniques of data acquisition, the mobile sink approach is highly suitable in densely distributed sensor networks. However, optimizing the trajectory of mobile sink is a crucial challenge to be addressed by researcher. The clustering-based Expectation Minimization technique proposed by Takaish et al. is an efficient approach to minimize the energy consumption of sensors while maintaining the node coverage. However, clustering of nodes may not ensure an optimal trajectory of mobile sink node. In this paper, we use genetic algorithm based approach to optimally select the data gathering points that minimize the distance of mobile sink trajectory to improve data collection time. The experimental results depict that the proposed technique is able to achieve optimal trajectory for mobile sink compared to Expectation Minimization technique.
在最近的数据时代,分布式传感器网络已经成为产生大数据的主要来源之一。因此,如何在密集分布的传感器网络中高效采集数据是一个亟待研究的领域。在各种数据采集技术中,移动汇聚方法非常适合于密集分布的传感器网络。然而,移动汇的轨迹优化是研究人员面临的一个重要挑战。Takaish等人提出的基于聚类的期望最小化技术是一种在保持节点覆盖的情况下最小化传感器能量消耗的有效方法。然而,节点聚类不能保证移动汇聚节点的最优轨迹。在本文中,我们使用基于遗传算法的方法来优化选择数据收集点,使移动sink轨迹的距离最小,以提高数据收集时间。实验结果表明,与期望最小化技术相比,该技术能够实现移动汇的最优轨迹。
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引用次数: 1
A Novel Method for Direction and Deformation Independent Iris Localization 一种方向与变形无关的虹膜定位新方法
Jaya Gautam, A. Bhateja
Iris Localization is the most challenging part of any Iris Recognition System. A lot of work has been done in efficient localization of iris but by taking the assumption that the person is looking straight into the Camera used for image capturing. To make this idea of Biometric System more robust, this paper introduces a new idea of polynomial curve fitting along with singleton expansion to accurately and efficiently localize the iris in any direction and distance from the camera. Also, a highly accurate pupil contour localization method is proposed which can be used in diagnosis of several eye related disorders.
虹膜定位是虹膜识别系统中最具挑战性的部分。在虹膜的有效定位方面已经做了很多工作,但这些工作都是基于一个假设,即人正直视用于图像捕获的相机。为了使生物识别系统的思想更具鲁棒性,本文引入了多项式曲线拟合和单点展开的新思想,以准确有效地定位虹膜在任何方向和距离相机。同时,提出了一种高精度的瞳孔轮廓定位方法,可用于多种眼相关疾病的诊断。
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引用次数: 0
Quadrature Modulation Using Radio Frequency Wave Correlation In Multiport Network 多端口网络中基于射频波相关的正交调制
Chetan Pathak, K. Rawat
This paper presents design and implementation of radio frequency quadrature modulator using multi-port network. The modulator utilizes Schottky diodes as high-speed variable impedance loads controlled by baseband data. The reflection coefficients produced by these variable loads modulate the RF carrier in proportion to the baseband signals. The paper also demonstrates test bed for generating differential in-phase and quadrature-phase baseband signals corresponding to digital modulation scheme. The hardware is designed and fabricated for operating at center frequency of 2 GHz. The results show successful modulation of 20 MHz LTE signal using 16 QAM data.
本文介绍了一种基于多端口网络的射频正交调制器的设计与实现。该调制器利用肖特基二极管作为基带数据控制的高速可变阻抗负载。由这些可变负载产生的反射系数按基带信号的比例调制射频载波。本文还演示了与数字调制方案相对应的同相差分基带信号和正交基带信号的试验台。硬件设计和制造工作在中心频率为2ghz。结果表明,使用16个QAM数据成功调制了20 MHz LTE信号。
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引用次数: 5
Power Management and Control of HEV using Model Predictive Control 基于模型预测控制的混合动力汽车电源管理与控制
P. Chakraborty, Bedatri Moulik
In this date to improve the fuel economy and get less emission, Hybrid Electric Vehicle (HEV) is developed. Energy management system has been developed where we can exploit the operating points of both the electrical system and the internal combustion engine. Typical power-split HEV model is built in this paper. To improve the tracking of the desired speed set points, Model Predictive control is used when subjected to the input and output constraints. The combination of both the series and parallel architecture is used in power split HEV to get different modes of operation. The combination and split of mechanical power generation is done with the use of planetary gear set. So near optimal fuel and energy management is done for the different modes of operation of the HEV with the implementation of Model Predictive Control.
为了提高燃油经济性和减少排放,混合动力汽车(HEV)应运而生。能源管理系统已经开发出来,我们可以利用电力系统和内燃机的操作点。本文建立了典型的功率分割混合动力汽车模型。为了提高对期望速度设定点的跟踪能力,在受到输入和输出约束时使用模型预测控制。在功率分路混合动力系统中,采用串联与并联相结合的结构,以获得不同的工作模式。利用行星齿轮组完成机械发电的组合和分离。通过模型预测控制,实现了混合动力汽车在不同工况下的接近最优的燃料和能量管理。
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引用次数: 1
SEEN: Stable Energy Efficient Network for Wireless Sensor Network 用于无线传感器网络的稳定节能网络
R. Priyadarshi, Lucky Singh, Anurag Singh, Ankush Thakur
From past few decade, growing attentiveness in arena of Wireless Sensor Networks. A foremost concern of sensor network is improvement of energy effectual routing protocols. Clustering is an effective approach to enhance energy effectiveness. Generally, dissimilar protocols assume 2 stage of node’s energy level. In certainty, dissimilar network comprise bulky variety of energy stages. By evaluating communiqué energy ingestion of the clusters and bulky variety of energy stages in dissimilar network, we suggest SEEN (Stable Energy Effectual Network) Protocol for dissimilar network. It considers sensor network comprising three energy stages of sensor nodes. Selection of Cluster Head in proposed protocol is done by residual energy level of nodes as well as distance parameter. Simulation outcomes display that proposed algorithm carries out better performances compared to various existing routing protocol in dissimilar sensor network in aspect of lifetime as well as stability of system.
在过去的几十年里,无线传感器网络领域受到越来越多的关注。改进能量有效路由协议是传感器网络的一个重要问题。聚类是提高能源效率的有效途径。一般来说,不同的协议假定节点的能级为2级。当然,不同的网络包含大量不同的能量阶段。通过对不同网络中集群的共同能量摄入和能量阶段的巨大变化进行评估,我们提出了不同网络的稳定能量有效网络(see)协议。它考虑由传感器节点的三个能量阶段组成的传感器网络。该协议通过节点的剩余能级和距离参数来选择簇头。仿真结果表明,在不同类型的传感器网络中,与现有的各种路由协议相比,该算法在生存期和系统稳定性方面具有更好的性能。
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引用次数: 24
A Proposed Elevation Angle Model for Small Cell Environments 一种小单元环境的仰角模型
Qi Hong, Haonan Hu, Hao Li, Hui Zheng, Baoling Zhang, Jie Zhang
The deployment of small cells is one of the key enabling technologies for the next generation mobile communication. Due to the short coverage of small cell, the elevation angle, which is ignored in long distance transmission model, should be taken into account in channel modelling. In this paper, we developed a geometrically based single bounce (GBSB) channel model for a small cell mobile environment which assumes that scattering objects are located uniformly within an ellipse around the mobile station (MS). The closed-form expression for joint and marginal probability density function (PDF) of elevation angle of departure (EAOD) is derived and validated by Monte Carlo simulation. With our derived PDF expression, the impact of parameters such as the distance between the base station (BS) and the MS, the height of the BS and the size of scatterers on the elevation angle are also discussed.
小型基站的部署是下一代移动通信的关键使能技术之一。由于小基站覆盖范围短,在信道建模中应考虑到在长距离传输模型中忽略的仰角。在本文中,我们建立了一个基于几何的单弹跳(GBSB)信道模型,该模型假设散射目标均匀地位于移动站(MS)周围的椭圆内。导出了仰角出发(EAOD)联合和边际概率密度函数(PDF)的封闭表达式,并通过蒙特卡罗仿真进行了验证。利用导出的PDF表达式,讨论了基站与MS之间的距离、BS的高度和散射体的大小等参数对仰角的影响。
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引用次数: 0
期刊
2018 5th International Conference on Signal Processing and Integrated Networks (SPIN)
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