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2017 7th International Conference on Communication Systems and Network Technologies (CSNT)最新文献

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Prototype implementation of real time W-CAN driver for hub to nacelle wireless communication in wind turbine 风电轮毂与机舱无线通信实时W-CAN驱动的原型实现
Sadashiv Uttam Munde, P. Tasgaonkar
In today's world, renewable energy is the important energy source and in renewable energy "wind energy" plays vital role. Where wind turbines are placed in remote places and the operation and maintenance services (OMS) are plays key role to getting maximum availability and minimum breakdowns of wind turbine. To minimize the breakdowns in wind turbine, it is important to provide reliable and robust control system. Where communication between controllers plays key role in control system. In wind turbine, the frequency of occurrence of communication failed errors between rotating Hub and stationary Nacelle is causes of increase in breakdown in Wind Turbine. So, to implement W-CAN (Wireless Controller Area Network), where the CAN protocol gives reliable and robust communication between pitch controllers in HUB and Wireless Bluetooth over CAN protocol provide communication between Rotating hub and stationary nacelle which minimizes the communication failed errors. This system is implemented by using LPC1769, FreeRTOS, CAN (Controller Area Network), Bluetooth Protocol, LwIP (Light Weight Internet Protocol) Protocol and Motors. Today real-time communication is one of the key features in distributed embedded control systems. Using FreeRTOS, control system performance will be improved. FreeRTOS comprises CAN & LwIP protocol stack which transfer real time data from hub microcontroller node to nacelle microcontroller node. The Sensor acts as input source to this hub node and microcontroller nodes in compliance of FreeRTOS that includes the Real Time CAN driver which is used for secured and robust data transfer. Real-Time LwIP protocol stack is implemented on top of FreeRTOS to transfer the data to supervisory control and data acquisition (SCADA) System Application on Host PC. In this system, based on LwIP stack the data will be transferred from Turbine nacelle microcontroller Node to the PC Host SCADA application. SCADA application is used for data monitoring and controlling the operation. Hence with the help of this proposed system data acquisition and control of distributed embedded applications will be improved.
当今世界,可再生能源是重要的能源,而在可再生能源中“风能”起着至关重要的作用。当风力涡轮机安装在偏远地区时,操作和维护服务(OMS)对于获得最大可用性和最小故障起着关键作用。为了最大限度地减少风力发电机组的故障,提供可靠、鲁棒的控制系统至关重要。其中控制器之间的通信在控制系统中起着关键作用。在风力发电机组中,旋转轮毂与静止短舱之间通信失效错误的发生频率是风力发电机组故障增加的原因。因此,要实现W-CAN(无线控制器区域网络),其中CAN协议在HUB和无线蓝牙之间提供可靠和鲁棒的间距控制器之间的通信,通过CAN协议提供旋转集线器和固定机舱之间的通信,从而最大限度地减少通信失败的错误。该系统采用LPC1769、FreeRTOS、CAN (Controller Area Network)、蓝牙协议、LwIP (Light Weight Internet Protocol)协议和电机实现。当今,实时通信是分布式嵌入式控制系统的关键特性之一。使用FreeRTOS,控制系统的性能将得到提高。FreeRTOS包括CAN和LwIP协议栈,将实时数据从集线器微控制器节点传输到短舱微控制器节点。传感器作为该集线器节点和微控制器节点的输入源,符合FreeRTOS,其中包括用于安全可靠数据传输的实时CAN驱动程序。实时LwIP协议栈在FreeRTOS之上实现,将数据传输到主机上的SCADA (supervisory control and data acquisition)系统应用程序。在该系统中,基于LwIP栈将数据从涡轮机舱微控制器节点传输到PC主机SCADA应用程序。SCADA应用程序用于数据监控和控制操作。因此,在该系统的帮助下,分布式嵌入式应用的数据采集和控制将得到改善。
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引用次数: 1
Robust machine learning of the complex-valued neurons 复值神经元的鲁棒机器学习
Manmohan Shukla, B. Tripathi
Last two decades have witnessed tremendous work in the field of Neurocomputing. A neural network works like a distributed processor which runs parallel. A neural network consists of processing units and the attributes of these units are to acquire knowledge by the virtue of a training process and storing this experimental knowledge in synaptic weights so that it is available for future use. In the present scenario the researchers are developing Artificial Neural Networks (Single / Multilayer) for solving multidimensional problems such as pattern recognition, prediction, optimization, associative memory, control and classifier since these are identified as robust tool various applications. The conventional parameters of Neural Network are generally real numbers and these parameters are only capable to deal with real valued data. But, according to the latest scenario in the field, there is requirement of analysis of high-dimensional data. Therefore, high-dimensional neural networks like CVNN came into the existence. Due to their diversity and abundance it is now becoming difficult to represent Neural Networks in complex domain consequently they started facing representational problems.
在过去的二十年里,神经计算领域取得了巨大的成就。神经网络就像一个并行运行的分布式处理器。神经网络由处理单元组成,这些处理单元的属性是通过训练过程获取知识,并将这些实验知识存储在突触权重中,以便将来使用。在目前的情况下,研究人员正在开发人工神经网络(单层/多层),以解决多维问题,如模式识别,预测,优化,联想记忆,控制和分类器,因为这些被确定为各种应用的鲁棒工具。神经网络的传统参数一般为实数,这些参数只能处理实数值的数据。但是,根据该领域的最新场景,对高维数据的分析提出了要求。因此,像CVNN这样的高维神经网络出现了。由于神经网络的多样性和丰富性,神经网络在复杂领域的表征变得越来越困难,因此神经网络开始面临表征问题。
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引用次数: 0
Lifting scheme based non-blind hybrid image watermarking technique using low frequency band 基于提升方案的低频非盲混合图像水印技术
Nikhil Chawala, M. Pandey
Here in the paper, we proposed lifting scheme based non-blind hybrid image watermarking technique by utilizing low frequency band for hiding message. In proposed work, we change the singular values of the cover image with the help of embedding formula to achieve high robustness and transparency. Here, watermark is embedded into the low frequency sub-band of a cover image by using variable scaling factor. This technique is simple as compared to other in term of both insertion and extraction of the watermark in the cover image. The simulated results show the importance of proposed image watermarking scheme. This technique also tested with HVS and with the help of parameters namely peak signal noise ratio (PSNR) and normalized cross correlation (NCC).
本文提出了一种利用低频隐藏信息的基于提升方案的非盲混合图像水印技术。在本文的工作中,我们利用嵌入公式来改变封面图像的奇异值,以达到高的鲁棒性和透明度。该方法利用可变比例因子将水印嵌入到覆盖图像的低频子带中。该方法在水印的插入和提取方面都比其他方法简单。仿真结果表明了所提出的图像水印方案的重要性。该技术还在HVS和峰值信噪比(PSNR)和归一化互相关(NCC)参数的帮助下进行了测试。
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引用次数: 5
Dynamic soft computing approach to form cluster through proposed trained system 通过提出的训练系统的动态软计算方法形成聚类
Hemlata Garg, S. Tiwari, Pankaj Sharma
This paper present a soft computing approach to form dynamic cluster by using dynamically drown pattern on behalf of assigned attribute values of entities. The proposed methodology work on a proposed trained system which could work on drown pattern from assigned attribute values those depends on user's preference to form clusters then information could retrieve and categories as per user need. This whole system could reduce much require time to retrieve specific information from the huge data.
本文提出了一种软计算方法,利用动态淹没模式代表实体分配的属性值形成动态聚类。所提出的方法适用于所提出的训练系统,该系统可以根据用户偏好的指定属性值对淹死模式进行处理,形成聚类,然后根据用户需要检索和分类信息。整个系统可以大大减少从海量数据中检索特定信息所需的时间。
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引用次数: 0
Performance analysis of an earth-satellite intensity modulated FSO link in the presence of turbulence and varying path loss 湍流和路径损耗变化条件下地星强度调制FSO链路的性能分析
Shagun Johari, V. Sundharam
Using Gamma-Gamma distribution to describe the atmospheric turbulences, we present a wireless optical communication model incorporating intensity modulation/direct detection (IM/DD) technique. Specifically, we have derived the closed form expressions for the cumulative distribution function (CDF) and the probability distribution function (PDF) for an FSO transmission system. Accounting for the atmospheric path losses and Mie scattering, we offer the closed form expressions for different performance parameters of wireless optical transmission system such as, outage probability, bit error rate for different binary modulation schemes and ergodic capacity, all in terms of Meijer's G function. Moreover, utilizing the asymptotic approximation of Meijer's G function, the outage probability and bit error rate are presented in the form of simple elementary functions at higher values of signal-to-noise ratio (SNR).
利用伽玛-伽玛分布描述大气湍流,提出了一种结合强度调制/直接探测(IM/DD)技术的无线光通信模型。具体地说,我们推导了FSO传输系统的累积分布函数(CDF)和概率分布函数(PDF)的封闭表达式。考虑大气路径损耗和米氏散射,用梅氏G函数给出了无线光传输系统的各种性能参数,如中断概率、不同二进制调制方案下的误码率和遍历容量的封闭表达式。此外,利用Meijer的G函数的渐近逼近,在较高的信噪比(SNR)值下,以简单初等函数的形式表示了中断概率和误码率。
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引用次数: 1
Gesture recognition using Open-CV 使用Open-CV的手势识别
Mohd. Baqir Khan, K. Mishra, M. Qadeer
Hand Gesture Recognition is one of the technological fields which is developing with a very fast pace and due to which it is receiving great attention in the recent few years. The primary goal of gesture recognition is to identify specific human gestures. This paper includes introduction to gesture recognition, its various areas, working of gesture recognition system, applications, the proposed idea with its hardware & software implementation tools, the various technologies applied on the idea, benefits of idea, its shortcomings and future scope of gesture recognition system
手势识别是近年来发展非常迅速的技术领域之一,因此受到了广泛的关注。手势识别的主要目标是识别特定的人类手势。本文包括手势识别的介绍、手势识别的各个领域、手势识别系统的工作、应用、提出的思想及其硬件和软件实现工具、在此思想上应用的各种技术、思想的优点、缺点和手势识别系统的未来范围
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引用次数: 5
Map reduce programming model for parallel K-mediod algorithm on hadoop cluster hadoop集群上并行k介质算法的映射约简规划模型
Devesh Kumar Srivastava, Ravinder Yadav, G. Agrwal
This paper presents result analysis of K-Mediod algorithm, implemented on Hadoop Cluster by using Map-Reduce concept. Map-Reduce are programming models which authorize the managing of huge datasets in parallel, on a large number of devices. It is especially well suited to constant or moderate changing set of data since the implementation point of a position is usually high. MapReduce is supposed to be framework of "big data". The MapReduce model authorizes for systematic and instant organizing of large scale data with a cluster of evaluate nodes. One of the primary affect in Hadoop is how to minimize the completion length (i.e., make span) of a set of MapReduce duty. For various applications like word count, grep, terasort and parallel K-Mediod Clustering Algorithm, it has been observed that as the number of node increases, execution time decreases. In this paper we verified Map Reduce applications and found as the amount of nodes increases the completion time decreases.
本文利用Map-Reduce的概念在Hadoop集群上实现了K-Mediod算法的结果分析。Map-Reduce是一种编程模型,它授权在大量设备上并行管理大量数据集。它特别适合于恒定或适度变化的数据集,因为位置的实现点通常很高。MapReduce被认为是“大数据”的框架。MapReduce模型允许使用一个评估节点集群系统地、即时地组织大规模数据。Hadoop的主要影响之一是如何最小化一组MapReduce任务的完成长度(即make span)。对于word count, grep, terasort和并行k - medium聚类算法等各种应用程序,可以观察到随着节点数量的增加,执行时间会减少。在本文中,我们验证了Map Reduce应用程序,发现随着节点数量的增加,完成时间减少。
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引用次数: 2
Use of quantum-inspired metaheuristics during last two decades 量子启发的元启发式在过去二十年中的应用
S. Karmakar, A. Dey, Indrajit Saha
Metaheuristics are widely perceived optimization methods that provide optimal solutions to an expansive range of computational problems. This paper provides a survey of the quantum-inspired metaheuristics, which is a successful alternative to the classical approach for solving optimization problems and combines the principles of quantum computing and metaheuristic. The idea of employing the concept of quantum mechanics in classical computers for better working of the metaheuristic methods has been a flourishing area of research since the last few decades. This paper aims to provide details of current state-of-the-art quantum-inspired metaheuristics by explaining their working principles and the applications of it in order to do further research in this field.
元启发式是一种被广泛接受的优化方法,它为广泛的计算问题提供了最优解。量子启发的元启发式是解决优化问题的一种成功的替代方法,它结合了量子计算和元启发式的原理。在经典计算机中运用量子力学的概念,使元启发式方法更好地工作,这一想法在过去几十年里一直是一个蓬勃发展的研究领域。本文旨在通过阐述量子启发元启发式的工作原理及其应用,详细介绍当前最先进的量子启发元启发式,以便在该领域进行进一步的研究。
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引用次数: 12
Analysis of failure of a circuit breaker employed for capacitor switching: A review 电容器开关用断路器故障分析:综述
M. R. Salodkar, V. Ghate, S. S. Kalwaghe
It is common practice to install shunt capacitors to improve the power factor and voltage profile at all voltage levels in the power system. Almost all type of load including domestic user's appliances is inductive. Due to low water level agricultural load are also increasing. All these conditions lead to poor power factor and large amount of reactive power flows through the transmission line and voltage drop occurs. Hence, in several areas low voltage pockets are created. To improve this low power factor, adequate compensation is to be provided at load end point. Due to increasing load/consumers it is very difficult to insist every consumer to provide compensating device. Ultimately power transmission companies have decided to provide the capacitor bank at the feeding substation at various voltage levels such as 11KV, 33KV and EHV levels also. And now a day it is well accepted practice to install a capacitor bank at the feeding substation for improving the power factor of the system. The major problem with the capacitor bank is the interrupter failure i.e. the failure of circuit breaker employed for its switching. It is reported by power distribution and transmission companies that breaker failure occurs before its specified number of operation. In order to understand this problem, I thought of taking a topic of dissertation work which relates to the failure of circuit breaker employed for capacitor switching.
通常的做法是安装并联电容器,以改善电力系统中所有电压等级的功率因数和电压分布。包括家用电器在内的几乎所有类型的负载都是电感式的。由于低水位,农业负荷也在不断增加。这些情况都会导致功率因数较差,大量无功功率流过输电线路,产生电压下降。因此,在一些地区产生了低压袋。为了改善这种低功率因数,必须在负载端点提供足够的补偿。由于负载/消费者的增加,很难坚持每个消费者都提供补偿装置。最终,输电公司决定在馈电变电站提供各种电压水平的电容器组,如11KV, 33KV和超高压水平。为提高系统的功率因数,在馈电变电站安装电容器组已成为一种普遍的做法。电容器组的主要问题是中断故障,即用于开关的断路器故障。配电公司和输电公司报告说,断路器在规定的运行次数之前发生故障。为了了解这个问题,我想到了一个关于电容器开关断路器故障的论文题目。
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引用次数: 0
Three stage 2-D discrete wavelet transform using modified vedic multiplier 利用改进的吠陀乘法器进行三级二维离散小波变换
S. Tripathi, Bharat Mishra
The various 1-D and 2-D DWT architectures that exist in the literature are Row-column, parallel filter, folded, flipping and recursive structures. The architectures vary with respect to the computational and hardware requirement, the memory required to store the input image, and the intermediate coefficients. The main objective of this research work is to derive efficient VLSI architectures, for the hardware implementation of the DWT, using Vedic multiplier and improving the hardware complexities and speed of existing architectures.
文献中存在的各种一维和二维DWT结构有行列结构、平行滤波结构、折叠结构、翻转结构和递归结构。这些体系结构在计算和硬件要求、存储输入图像所需的内存以及中间系数方面有所不同。本研究工作的主要目标是利用Vedic乘法器,为DWT的硬件实现提供高效的VLSI架构,并提高现有架构的硬件复杂性和速度。
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引用次数: 2
期刊
2017 7th International Conference on Communication Systems and Network Technologies (CSNT)
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