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2014 International Conference on Communication and Signal Processing最新文献

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Estimation of voltage signal analysis using Extended Kalman Filter 基于扩展卡尔曼滤波的电压信号估计分析
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950131
G.Muthupandi, G.Sivakumar, M.Deepak Pious, M.Naveen Kumar
The fundamental voltage, current and phase angle are required for a wide variety of power system applications. The processed signal must be taken from the power source, when the disturbance is occurred in the system it is difficult to access the power system application. In the proposed method white noise is added into the input voltage waveform to get an unbalanced voltage signal from the source in simulation environment. Then, the unbalanced signal is given to an Extended Kalman filter circuits to estimate and remove the noise signal presents in the voltage waveform. The Extended Kalman Filter is used to remove the voltage disturbance from the power source.
各种各样的电力系统应用都需要基本电压、电流和相角。处理后的信号必须从电源中提取,当系统发生扰动时,难以进入电力系统应用。该方法在仿真环境下,在输入电压波形中加入白噪声,得到源电压的不平衡信号。然后,将不平衡信号交给扩展卡尔曼滤波电路,对电压波形中的噪声信号进行估计和去除。采用扩展卡尔曼滤波来消除电源电压干扰。
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引用次数: 2
Probabilistic method for energy efficiency routing with node compromised resistance 考虑节点折衷电阻的能效路由的概率方法
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6949950
D. Singh, Shubhanjali Sharma, V. Jain, Jyoti Gajrani
A wireless sensor network is basically a data communication system that consists of from several to thousands of tiny wireless sensor nodes. These battery powered sensor nodes work with each other to accomplish data transmission. Since the lifetime of wireless sensor network depends on such battery powered sensor nodes, hop counts and battery power have been taken as metrics in routing protocols. In wireless sensor network, energy efficiency is most critical issue that should be considered while transmitting information or data packet from source node to sink node. Some techniques can be used by attacker communities through getting the knowledge about efficiency and trust relationship among the nodes and then insert some unwanted packets in the path from source to sink. DRP, MTRP and EENC are some techniques that can be used to provide energy efficient transmission of data packets. EENC is energy efficiency routing with node compromised resistance. This technique is based on the ant colony optimization technique. Three parameters in this technique, energy, trust and hop count are considered here to find out the compromised node among the nodes and remove the path from source to sink containing that node.
无线传感器网络基本上是一个数据通信系统,由几个到数千个微小的无线传感器节点组成。这些由电池供电的传感器节点相互协作以完成数据传输。由于无线传感器网络的寿命取决于电池供电的传感器节点,因此路由协议将跳数和电池电量作为度量标准。在无线传感器网络中,信息或数据包从源节点传输到汇聚节点时,能效是最需要考虑的问题。攻击者团体可以利用一些技术,通过了解节点之间的效率和信任关系,然后在从源到接收的路径中插入一些不需要的数据包。DRP、MTRP和EENC是一些可以用来提供高效传输数据包的技术。EENC是具有节点折衷电阻的能效路由。该技术基于蚁群优化技术。该技术考虑了能量、信任和跳数三个参数,以找出节点中的受损节点,并删除包含该节点的从源到汇的路径。
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引用次数: 1
Detection of Leukemia in microscopic images using image processing 利用图像处理技术检测显微图像中的白血病
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6949840
C. Raje, J. Rangole
Leukemia occurs when lot of abnormal white blood cells produced by the bone marrow. Hematologist makes use of microscopic study of human blood, which leads to need of methods, including microscopic color imaging, segmentation, classification and clustering that can allow identification of patients suffering from Leukemia. The microscopic images will be inspected visually by hematologists and the process is time consuming and tiring. The automatic image processing system is urgently needed and can overcome related constraints in visual inspection. The proposed system will be on microscopic images to detect Leukemia. The early and fast identification of Leukemia greatly aids in providing the appropriate treatment. Initial segmentation is done using Statistical parameters such as mean, standard deviation which segregates white blood cells from other blood components i.e. erythrocytes and platelets. Geometrical features such as area, perimeter of the white blood cell nucleusis investigated for diagnostic prediction of Leukemia. The proposed method is successfully applied to a large number of images, showing promising results for varying image quality. Different image processing algorithms such as Image Enhancement, Thresholding, Mathematical morphology and Labelling are implemented using LabVIEW and MATLAB.
当骨髓产生大量异常白细胞时,就会发生白血病。血液学家用显微镜对人体血液进行研究,这就需要显微镜彩色成像、分割、分类和聚类等方法来识别白血病患者。显微镜图像将由血液学家目视检查,这个过程既耗时又累人。自动图像处理系统是迫切需要的,它可以克服视觉检测中的相关限制。该系统将通过显微镜图像来检测白血病。白血病的早期和快速识别极大地有助于提供适当的治疗。初始分割使用统计参数,如平均值,标准偏差,从其他血液成分,即红细胞和血小板分离白细胞。白细胞核的面积、周长等几何特征可用于白血病的诊断预测。该方法成功地应用于大量图像,在不同图像质量下显示出良好的效果。利用LabVIEW和MATLAB实现了图像增强、阈值分割、数学形态学和标记等不同的图像处理算法。
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引用次数: 36
QoS performance analysis of routing protocols in Vehicular Ad-hoc Networks 车载自组织网络中路由协议的QoS性能分析
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950051
D. Nagendar Naik, T. Hussain, S. Limbu, G. Patowary
Vehicular Ad-hoc Networks (VANET), is a type of wireless ad-hoc network that aims to provide communication among vehicles. A key characteristic of VANETs is the very high mobility of nodes that result in a frequently changing topology along with the frequent breakage and linkage of the paths among the nodes involved. These characteristics make the Quality of Service (QoS) requirements in VANET a challenging issue. In this paper we characterize the performance available to applications in infrastructureless VANETs in terms of path holding time, path breakage probability and per session throughput as a function of various vehicle densities on road, data traffic rate and number of connections formed among vehicles by making use of table-driven and on-demand routing algorithms. Several QoS constraints in the applications of infrastructureless VANETs are observed in the results obtained.
车辆自组织网络(VANET)是一种无线自组织网络,旨在提供车辆之间的通信。VANETs的一个关键特征是节点的高度移动性,这导致拓扑结构频繁变化,以及所涉及节点之间路径的频繁断裂和连接。这些特点使得VANET中的服务质量(QoS)要求成为一个具有挑战性的问题。在本文中,我们根据路径保持时间,路径中断概率和每会话吞吐量作为道路上各种车辆密度的函数,描述了无基础设施vanet应用程序的性能,数据流量率以及通过使用表驱动和按需路由算法在车辆之间形成的连接数量。在得到的结果中观察到无基础设施vanet应用中的几个QoS约束。
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引用次数: 1
Privacy preservation algorithm in data mining for CRM systems CRM系统数据挖掘中的隐私保护算法
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950121
Shashidhar Virupaksha, G. Sahoo, A. Vasudevan
Organizations have a huge customer base and thus they use data mining tools to study their customers. However there is risk of sensitive information about individuals which can be gained also during this process. Hence data that is used for data mining has to be protected. There are some privacy protection algorithms which ensure privacy and protect data. These algorithms preserve privacy but data mining results significantly. In this paper we propose a clustering based noise addition that not only preserves privacy but also ensures effective data mining. Data characteristics are identified using clustering technique and noise is added within the clusters thus retaining the data characteristics.
组织拥有庞大的客户群,因此他们使用数据挖掘工具来研究他们的客户。然而,在这一过程中也可能获得有关个人的敏感信息。因此,必须保护用于数据挖掘的数据。有一些隐私保护算法可以保证隐私和保护数据。这些算法保护隐私,但数据挖掘效果显著。本文提出了一种基于聚类的噪声添加方法,既保护了隐私,又保证了数据挖掘的有效性。采用聚类技术识别数据特征,并在聚类中加入噪声,从而保留数据特征。
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引用次数: 5
Blend of error control codes in OFDM - effect of channel - a comparative approach OFDM中差错控制码的混合——信道的影响——一种比较方法
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6949833
P. Praveenkumar, K. Thenmozhi, J. Alfaaz Zami, Rengarajan Amirtharajan
Role of modern day technology in business world is very imperative and moving. Be it collaboration, telephony, social media etc. in a particular trade, ultimately, information is what being communed. Its importance is more studied and explored in the domain of Business communication. At the same time, emphasis is greatly laid to have secure communication between the parties irrespective of the medium of communication. This is where software and cryptic techniques come into help. Information security plays a crucial role in safeguarding the message or information involved in the communication. Nowadays, right from small vendors to corporate giants, every business organization relies directly or indirectly on cryptic experts for the same. This work is one such blend of technology and security for data protection. This paper deals with the comparative performance analysis of different modulation schemes like BPSK, QPSK, 8QAM, 16QAM, 32QAM and 64 QAM using concatenated Error Control Codes (ECC) in OFDM(Orthogonal Frequency Division Multiplexing). RS(Reed Solomon) codes with Convolutional codes has been used as the concatenated error control code. Then the coded data bits are encrypted to the enhance copy right protection. BER Vs Eb/No graphs are plotted using various modulation schemes adopting AWGN (Additive White Gaussian Noise channel), Rayleigh and Rician Fading Channels. Correlation values are computed for various inner and outer code rates to validate the encryption operation.
现代技术在商业世界中的作用是非常必要和移动的。无论是合作、电话、社交媒体等,在一个特定的行业,最终,信息是被交流的东西。它的重要性在商务交流领域得到了更多的研究和探索。与此同时,无论通信媒介如何,都非常强调各方之间的安全通信。这就是软件和神秘技术发挥作用的地方。信息安全在保护通信中涉及的消息或信息方面起着至关重要的作用。如今,从小型供应商到企业巨头,每个商业组织都直接或间接地依赖于加密专家。这项工作是数据保护技术和安全的结合。本文对正交频分复用技术中BPSK、QPSK、8QAM、16QAM、32QAM和64qam调制方案的性能进行了比较分析。RS(Reed Solomon)码与卷积码被用作串联错误控制码。然后对编码后的数据位进行加密,加强版权保护。利用AWGN(加性高斯白噪声信道)、瑞利和瑞利衰落信道等调制方案绘制了BER Vs Eb/No图。计算各种内部和外部码率的相关值,以验证加密操作。
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引用次数: 0
Design of 50–75 GHz V-band low power and high gain down-conversion mixer 50 - 75ghz v波段低功率高增益下变频混频器的设计
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950123
K. Suriya, G. Durga
This paper presents the design of V-band low power down-conversion mixer operating in weak inversion biasing region using 90-nm CMOS technology. The mixer exhibits a double-balanced Gilbert cell structure in source-driven topology with RF signal applied at the gate and local oscillator (LO) signal at the source. It achieves high conversion gain of 7.297 dB at RF signal of 60 GHz at standard supply voltage of 1.2 V. Other performance parameters measured are LO-to-RF port isolation as more than 40 dB, the third-order input intercept point (IIP3) as -1.692 dBm, OP1dB as -7.382 dBm and DC power consumption of 548 μW at LO power of -6 dBm indicates that this mixer is suitable for low power millimeter-wave (MMW) radio applications. The mixer is designed and simulated using Agilent's Advanced Design System (ADS).
本文提出了一种基于90纳米CMOS技术的工作在弱反转偏置区的v波段低功率下变频混频器的设计。混合器在源驱动拓扑中呈现双平衡吉尔伯特单元结构,射频信号应用于门,本振(LO)信号应用于源。在标准电源电压为1.2 V的60 GHz射频信号下,实现了7.297 dB的高转换增益。其他性能参数包括:低电平到射频端口隔离度大于40 dB,三阶输入截距点(IIP3)为-1.692 dBm, OP1dB为-7.382 dBm,低电平输入功率为-6 dBm时的直流功耗为548 μW,表明该混频器适用于低功率毫米波(MMW)无线电应用。混合器的设计和模拟使用安捷伦的先进设计系统(ADS)。
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引用次数: 1
Implementation of Sinusoidal Pulse Width Modulation for Matrix Converter using FPGA 矩阵变换器正弦脉宽调制的FPGA实现
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6949971
K. Vijayakumar, R. A. Kumar, A. Govindasamy, S. Kannan
The purpose of this paper is to develop the Sinusoidal Pulse Width Modulation (SPWM) for toggling the switches of Matrix Converter for its operation as several Power Electronics Converters. The SPWM generation is developed with the help of Quartus based Field Programmable Gate Array (FPGA). Quartus II is a software tool produced by Altera for analysis and synthesis of HDL design which enables the developer to compile their designs. Quartus II software includes all the design files, software source files and other related files necessary for the eventual implementation of a design in Programmable Logic Devices. SPWM provides a way to reduce the Total Harmonic Distortion (THD) of load current. The VHDL programming is used to generate the SPWM for switches. Simulation waveforms are obtained and the output of SPWM generation is developed with the help of the FPGA and the output is displayed in the CRO.
本文的目的是开发正弦脉宽调制(SPWM),用于切换矩阵变换器的开关,使其作为多个电力电子变换器工作。SPWM生成是在基于Quartus的现场可编程门阵列(FPGA)的帮助下开发的。Quartus II是Altera生产的用于分析和合成HDL设计的软件工具,它使开发人员能够编译他们的设计。Quartus II软件包括在可编程逻辑器件中最终实现设计所需的所有设计文件、软件源文件和其他相关文件。SPWM提供了一种降低负载电流总谐波失真(THD)的方法。使用VHDL编程生成交换机的SPWM。得到仿真波形,利用FPGA开发SPWM生成输出,并在CRO中显示输出。
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引用次数: 1
An improved method for emotion detection using weighted Gabor filter and radial basis Function kernel 一种基于加权Gabor滤波器和径向基函数核的情绪检测改进方法
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950031
P. Sisodia, A. Verma, K. Juneja, S. Goel
Human emotion detection plays an important role in the human-computer interaction. In this paper, the emotions are detected on segmented image using low dimension weighted Gabor filter bank. The segmentation reduces the space domain and only those facial features are focused that reflects expressions accurately. The classification of selected features values classifies through a RBF network. The experimental results show that by the selection of optimal features, the computational complexity reduces significantly.
人类情感检测在人机交互中起着重要的作用。本文采用低维加权Gabor滤波器组对分割后的图像进行情感检测。分割后的图像缩小了空间域,只有准确反映表情的面部特征才会被集中。选取的特征值分类通过RBF网络进行分类。实验结果表明,通过选择最优特征,计算复杂度显著降低。
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引用次数: 1
Identification and feature extraction of moving vehicles in LabVIEW LabVIEW中移动车辆的识别与特征提取
Pub Date : 2014-04-03 DOI: 10.1109/ICCSP.2014.6950172
Suresh Babu Changalasetty, Ahmed S. Badawy, Wade Ghribi, Lalitha Saroja Thota
In recent years, video monitoring and surveillance systems have been widely used in traffic management. The image sequences for traffic scenes are recorded by a stationary camera. The video clip is sent to LabVIEW program to convert into image frames. NI LabVIEW vision assistant module is used to detect the moving vehicle. The method is based on the establishment of correspondences between regions and vehicles, as the vehicles move through the image sequence. Background subtraction is used which improves the adaptive background mixture model and makes the system learn faster and more accurately, as well as adapt effectively to changing environments. The resulting system robustly identifies vehicles, rejecting background and tracks vehicles over a specific period of time. Once the (object) vehicle is tracked, the attributes of the vehicle like width, length, perimeter, area etc are extracted by image process feature extraction techniques. In proposed system we use LabVIEW and Vision assistant module for image processing and feature extraction. The project will benefit to reduce cost of traffic monitoring system and complete automation of traffic monitoring system.
近年来,视频监控系统在交通管理中得到了广泛的应用。交通场景的图像序列由固定摄像机记录。将视频片段发送到LabVIEW程序中转换为图像帧。使用NI LabVIEW视觉辅助模块对移动车辆进行检测。该方法基于车辆在图像序列中移动时建立区域和车辆之间的对应关系。采用背景减法改进了自适应背景混合模型,使系统学习更快、更准确,并能有效地适应不断变化的环境。由此产生的系统可以可靠地识别车辆,拒绝背景信息,并在特定时间段内跟踪车辆。一旦目标车辆被跟踪,通过图像处理特征提取技术提取车辆的宽度、长度、周长、面积等属性。本系统采用LabVIEW和视觉辅助模块进行图像处理和特征提取。该项目有利于降低交通监控系统成本,实现交通监控系统的自动化。
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引用次数: 13
期刊
2014 International Conference on Communication and Signal Processing
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