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2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies最新文献

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Design and analysis of 4 port coupler based Delay Line filter for dispersion slope compensation 基于4端口耦合器的延迟线滤波器色散斜率补偿的设计与分析
G. Aarthy, P. Prakash, M. Madhan
A Delay Line filter based dispersion compensator and dispersion slope compensator for an optical fiber transmission system are implemented using 4 port couplers. The filter performance is evaluated in a 100 km single mode fiber link by simulating the entire system using optisystem software. Both dispersion compensation and dispersion slope compensation resulted in improvement in Eye Opening Penalty, the Q factor and BER.
采用4端口耦合器实现了光纤传输系统中基于延迟线滤波器的色散补偿器和色散斜率补偿器。利用optisystem软件模拟整个系统,在100公里单模光纤链路中对滤波器性能进行了评估。色散补偿和色散斜率补偿均能改善睁眼惩罚、Q因子和误码率。
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引用次数: 1
Design of Brain Emotional Learning Based Intelligent Controller (BELBIC) for uncertain systems 基于大脑情绪学习的不确定系统智能控制器设计
Reshma Ravi, Mija S.J.
This paper addressess, a study on the bio inspired intelligent controller namely Brain Emotional Learning Based Intelligent Controller (BELBIC) and its design for spring mass damper system which has parameter uncertainty. The mass-damper-spring system is a common control experimental device frequently used. This paper gives the possible structured (parametric) uncertainties in the spring-mass-damper system. The model free controller based on the brain-emotional-learning algorithm adapts the computational model of limbic system in the mammalian brain. Here an attempt is made to design the controller for a uncertain system (spring-mass-damper). The performance of the developed controller is compared with that of a PID controller.
针对具有参数不确定性的弹簧质量阻尼器系统,研究了基于大脑情绪学习的仿生智能控制器(BELBIC)及其设计。质量阻尼弹簧系统是一种常用的控制实验装置。本文给出了弹簧-质量-阻尼系统中可能存在的结构(参数)不确定性。基于脑-情绪-学习算法的无模型控制器适应了哺乳动物大脑边缘系统的计算模型。本文尝试设计不确定系统(弹簧-质量-阻尼器)的控制器。将所设计的控制器与PID控制器的性能进行了比较。
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引用次数: 8
Multiple objects tracking using Extended Kalman Filter, GMM and Mean Shift Algorithm - A comparative study 扩展卡尔曼滤波、GMM和Mean Shift算法的多目标跟踪比较研究
D. Santosh, P. G. Krishna Mohan
Object tracking is a primary step for image processing applications like object recognition, navigation systems and surveillance systems. The current image and the background image is differentiated by approaching conventionally in image processing. Image subtraction based algorithms are mainly used in extracting features of moving objects and take the information in frames. Here three algorithms namely Extended Kalman Filter, Gaussian Mixture Model (GMM), Mean Shift Algorithm are compared in the context of multiple object tracking. The comparative results show that GMM performs well when there are occlusions. Extended Kalman filter fails because of abnormal behavior in the distribution of random variables when there is nonlinear transformation. It cannot identify multiple objects when there are occlusions. Mean shift algorithm is best suitable for single object tracking and is very sensitive to window size which is adaptive. Results show that this algorithm has the limitation to detect multiple objects when there is even slight occlusion.
物体跟踪是物体识别、导航系统和监视系统等图像处理应用程序的主要步骤。在图像处理中,采用常规方法来区分当前图像和背景图像。基于图像减法的算法主要用于提取运动物体的特征并提取帧中的信息。本文比较了扩展卡尔曼滤波、高斯混合模型(GMM)和均值漂移算法在多目标跟踪中的应用。对比结果表明,GMM在有遮挡的情况下表现良好。当存在非线性变换时,扩展卡尔曼滤波器由于随机变量分布的异常行为而失效。当有遮挡时,无法识别多个物体。均值移位算法最适合于单目标跟踪,对窗口大小非常敏感,具有自适应性。结果表明,即使是在轻微遮挡的情况下,该算法也存在检测多个目标的局限性。
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引用次数: 18
Operation of hybrid AC-DC microgrid with an interlinking converter 带互连变流器的交直流混合微电网运行
V. Hema, R. Dhanalakshmi
The proposed paper presents the analysis of power sharing in a renewable hybrid microgrid. The hybrid microgrid presented here comprises the DC and AC subgrid interconnected by an interlinking converter. Droop control technique is presented in this paper for power flow management among all the sources in two types of subgrids. The coordinated operation of DC sources and AC sources and interlinking converters are investigated. The droop control concept uses an appropriate normalization technique for merging both subgrids. The operation of hybrid ac-dc microgrid with an interlinking converter using droop control technique for power sharing is investigated by simulation in this paper.
本文对可再生混合微电网的电力共享进行了分析。本文介绍的混合微电网由直流和交流子电网组成,子电网通过互连变换器相互连接。本文提出了一种适用于两类子电网中各电源间潮流管理的下垂控制技术。研究了直流电源、交流电源和互连变换器的协调运行。下垂控制概念使用适当的归一化技术来合并两个子网格。本文通过仿真研究了采用下垂控制技术的并联变换器混合交直流微电网的运行情况。
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引用次数: 4
Design an efficient algorithm for peak to average power ratio reduction in STBC based MIMO-OFDM system 设计了一种有效的基于STBC的MIMO-OFDM系统峰值平均功率比降低算法
S. Divya, S. Sundaravadivelu
MIMO combined with OFDM provides high throughput and system capacity. MIMO OFDM radically improves spectrum efficiency and system reliability for 4G technology. The system offers high peak to average power ratio (PAPR). In order to reduce high PAPR, we implement one of the scrambling techniques namely Partial transmit sequence (PTS). The proposed algorithm provides better PAPR reduction which can be verified by simulation results.
MIMO结合OFDM提供高吞吐量和系统容量。MIMO OFDM从根本上提高了4G技术的频谱效率和系统可靠性。该系统提供高峰值平均功率比(PAPR)。为了降低高的PAPR,我们实现了一种加扰技术,即部分发送序列(PTS)。仿真结果表明,该算法具有较好的PAPR降低效果。
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引用次数: 0
Use of Discrete Sine Transform in EEG signal classification for early Autism detection 离散正弦变换在脑电图信号分类中的应用
P. Ganesh, R. Menaka
In this work, a method called Discrete Sine Transform is used in order to classify EEG signals of the brain and are used for the purpose of early autism detection. Autism is a complex behavioral disorder. The EEG signals are obtained by using electrodes that are attached to the brain. Each electrode measures the signals in different regions of the brain as the subject responds to different stimuli. The signals are processed by applying Discrete Sine Transform (DST) and then it is passed as an input to an artificial neural network. DST is used as it greatly simplifies the process and reduces the complexity. The computing tool of a neural network is used in order to objectively estimate whether a subject is suffering from autism. The network is trained with a particular dataset and upon applying a testing input the output was achieved. This study looked at EEG signals, an indirect measure of brain connectivity, and identified patterns that distinguished subjects at an increased risk for autism.
在这项工作中,使用了一种称为离散正弦变换的方法来对大脑的脑电图信号进行分类,并用于早期自闭症检测。自闭症是一种复杂的行为障碍。脑电图信号是通过连接在大脑上的电极获得的。当受试者对不同刺激作出反应时,每个电极测量大脑不同区域的信号。通过离散正弦变换(DST)对信号进行处理,然后作为输入传递给人工神经网络。使用DST,因为它大大简化了流程,降低了复杂性。利用神经网络的计算工具来客观地估计受试者是否患有自闭症。该网络使用特定的数据集进行训练,并在应用测试输入后获得输出。这项研究观察了脑电图信号,这是一种间接测量大脑连通性的方法,并确定了区分自闭症风险增加的受试者的模式。
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引用次数: 6
Power - and variability-aware design of FinFET-based XOR circuit at nanoscale regime 纳米尺度下基于finfet的异或电路的功率和可变性感知设计
Pragya Srivastava, Amit Krishna Dwivedi, A. Islam
Escalation in performance parameters due to CMOS technology scaling has proven its worth in the field of design and implementation. Integration density, low power dissipation and higher speed of operation are at their zenith level. This truculent towards technology scaling is now showing its adverse effect which is becoming a great concern from the researchers' point of view. Variability is one of the consequences of technology scaling. Equivalent to power, delay and area, variability also plays an important role in determining performance of circuits. This paper presents variability analysis of diverse exclusive-OR circuits in terms of average power and power-delay product (PDP) at the transistor level using 16-nm technology node. The investigation is supported by using simulation framework loaded with two nominal copies of the analogous XOR gate at both the ends - input and output. The intent of this note is to determine the circuit with minimal variability to PDP. Further, realization of the optimal XOR circuit is carried out by using emerging device namely Fin field effect transistor (FinFET). The propound FinFET based realization of optimal XOR circuit offers 99.191 × improvement in PDP in contrast to its CMOS realization at nominal supply voltage of VDD = 0.7 V.
由于CMOS技术的规模化而导致的性能参数的升级,已经证明了其在设计和实现领域的价值。集成密度、低功耗和高运行速度达到了顶峰。这种对技术规模化的强硬态度正在显现出其不利影响,这正成为研究人员非常关注的问题。可变性是技术规模化的后果之一。可变性与功率、延迟和面积一样,在决定电路性能方面也起着重要作用。本文采用16nm技术节点对不同异或电路在晶体管级的平均功率和功率延迟积(PDP)方面进行了可变性分析。该研究是通过使用仿真框架来支持的,该框架在输入和输出两端加载了两个类似的异或门的标称副本。本说明的目的是确定具有最小PDP变异性的电路。此外,利用新兴器件Fin场效应晶体管(FinFET)实现了最优异或电路。在VDD = 0.7 V的标称电源电压下,基于FinFET的最佳异或电路实现比CMOS实现的PDP提高了99.191倍。
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引用次数: 6
Performance analysis of single and complete link during Agglomerative clustering of question papers by tagging the questions and trend analysis using single link 题目标注聚类过程中单链接和完整链接的性能分析以及单链接的趋势分析
Rasendu Mishra, N. Modi, Rushabh Shah
The paper discusses here about clustering question papers, by tagging the questions of each paper, using Agglomerative clustering methods using single and complete link. The paper clearly shows the number of papers clustered in various iterations, time consumed in clustering the papers completely and finally the clustering result. The clustering is done based on Euclidean Distance measures for similarity calculations. The paper also demonstrates the trend after clustering using single link.
本文通过对每篇试卷的问题进行标注,采用单链接和完整链接的凝聚聚类方法,对试题进行聚类。本文清楚地显示了在各种迭代中聚类的论文数量,完全聚类所花费的时间以及最终的聚类结果。聚类是基于欧几里得距离度量来进行相似性计算。本文还论证了单链路聚类后的趋势。
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引用次数: 1
Modified path traversal for an efficient web navigation mining 改进路径遍历,实现高效的web导航挖掘
S. More
To improve Web services Web Mining technology is applies. After applying Web mining on Web sessions we will get navigation patterns which are important for Web users such that appropriate actions can be adopted. Due to huge data in Web, discovery of patterns and there analysis for further improvement in Web site becomes a real time necessity. In our paper algorithm initiate from dataset consisting Web sessions. From each Web sessions we flow towards the navigation path, which shows actual traversing of user in the Web site. Applying algorithm of construction of graph we will get initial graph showing each browsing session. Our aim is to improve mining efficiency by applying path traversal algorithm and get surfing pattern. Our algorithm modifies previous and one also fetch large dataset of Web sessions, and also experimental results will show efficient surfing pattern which can be better for finding the user's interest. In modified algorithm we avoid unwanted and repetition of data. Here experimental analysis also use for improvement of web design, target advertisement, Web design improvement, customer satisfaction and efficient market analysis.
为了改进Web服务,应用了Web挖掘技术。在Web会话上应用Web挖掘后,我们将得到对Web用户很重要的导航模式,从而可以采取适当的操作。由于Web中的数据量巨大,发现模式并对其进行分析以进一步改进Web站点成为一种实时的需要。在本文中,算法从包含Web会话的数据集开始。我们从每个Web会话流向导航路径,它显示了用户在Web站点中的实际遍历。应用图的构造算法,得到每个浏览会话的初始图。我们的目标是通过应用路径遍历算法来提高挖掘效率,得到冲浪模式。我们的算法改进了先前的算法,并且还获取了大量的Web会话数据集,实验结果表明,我们的算法显示出高效的浏览模式,可以更好地找到用户的兴趣点。在改进算法中,我们避免了不必要的重复数据。本文还将实验分析用于网页设计改进、目标广告、网页设计改进、客户满意度和有效市场分析。
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引用次数: 7
Cooperative communication for vehicular networks 车联网协同通信
T. Abraham, K. Narayanan
Vehicular communication technologies are realized recently as the staples of modern societies. When cooperative approach is employed in vehicular communication system, it will perform more effective in avoiding accidents and traffic congestions. In vehicular networks, cooperative Multi-Input Multi-Output (MIMO) and cooperative relay techniques increase the performance as well as reduce the transmission energy consumption by exploiting the spatial and temporal diversity gain. The energy efficiency characteristics of cooperative techniques in vehicular networks is of prime importance as the energy consumption of wireless nodes embedded on road infrastructure is constrained. In this paper, applications of cooperative communication techniques in vehicular networks are proposed. Also we compare the performance and the energy consumption of cooperative techniques with the traditional multi-hop technique over Rayleigh channel by considering MQAM as design example. The optimal cooperative strategy for energy constrained road infrastructure networks in ITS application can be selected using this performance optimization in cooperative communication.
车载通信技术最近才成为现代社会的主要内容。在车载通信系统中采用协作方式,可以更有效地避免交通事故和拥堵。在车载网络中,协同多输入多输出(MIMO)和协同中继技术通过利用时空分集增益来提高传输性能,降低传输能耗。由于嵌入在道路基础设施上的无线节点的能量消耗受到限制,车联网中协作技术的能效特性至关重要。本文提出了协作通信技术在车载网络中的应用。并以MQAM为设计实例,比较了协同技术与传统瑞利信道上的多跳技术的性能和能耗。在ITS应用中,能源约束下的道路基础设施网络的最优合作策略可以利用协同通信中的性能优化来选择。
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引用次数: 9
期刊
2014 IEEE International Conference on Advanced Communications, Control and Computing Technologies
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