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2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)最新文献

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Feature and decision level fusion for action recognition 特征与决策层融合的动作识别
M. Abouelenien, Yiwen Wan, Abdullah N. Saudagar
Classification of actions by human actors from video enables new technologies in diverse areas such as surveillance and content-based retrieval. We propose and evaluate alternative models, one based on feature-level fusion and the second on decision-level fusion. Both models employ direct classification - inferring from low-level features the nature of the action. Interesting points are assumed to have salient 3D (spatial plus temporal) gradients that distinguish them from their neighborhoods. They are identified using three distinct 3D interesting-point detectors. Each detected interest point set is represented as a bag-of-words descriptor. The feature level fusion model concatenates descriptors subsequently used as input to a classifier. The decision level fusion uses an ensemble and majority voting scheme. Public data sets consisting of hundreds of action videos were used in testing. Within the test videos, multiple actors performed various actions including walking, running, jogging, handclapping, boxing, and waving. Performance comparison showed very high classification accuracy for both models with feature-level fusion having an edge. For feature-level fusion the novelty is the fused histogram of visual words derived from different sets of interesting points detected by different saliency detectors. For decision fusion besides Adaboost the majority voting scheme is also utilized in ensemble classifiers based on support vector machines, knearest neighbor, and decision trees. The main contribution, however, is the comparison between the models and, drilling down, the performance of different base classifiers, and different interest point detectors for human motion recognition
从视频中对人类行为进行分类,可以在监视和基于内容的检索等不同领域实现新技术。我们提出并评估了两种备选模型,一种基于特征级融合,另一种基于决策级融合。这两种模型都采用直接分类——从低级特征推断动作的性质。有趣的点被认为具有显著的3D(空间加时间)梯度,将它们与邻近点区分开来。它们是用三个不同的三维兴趣点探测器来识别的。每个检测到的兴趣点集都表示为词袋描述符。特征级融合模型将随后用作分类器输入的描述符连接起来。决策级融合采用集合和多数投票方案。测试中使用了由数百个动作视频组成的公共数据集。在测试视频中,多位演员表演了各种动作,包括走路、跑步、慢跑、鼓掌、拳击和挥手。性能比较表明,两种具有边缘的特征级融合模型的分类精度都很高。对于特征级融合,新颖性是由不同的显著性检测器检测到的不同兴趣点集合产生的视觉词的融合直方图。对于决策融合,除了Adaboost之外,还在基于支持向量机、最近邻和决策树的集成分类器中使用了多数投票方案。然而,主要的贡献是模型之间的比较,以及向下钻取不同基本分类器和不同兴趣点检测器用于人体运动识别的性能
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引用次数: 5
Transfer magnetic data from text files to excel files based on Visual C# 基于Visual c#将磁性数据从文本文件传输到excel文件
Du Ruiqing, Tan Jing, Zhou Ming
Magnetic data are often recorded in text files by magnetometers. They are not easy to deal with, and they are often transferred and written into Excel files to further process. The aim of this paper is to discuss how to use Visual C# to do the transferring work. Development tools, key technologies and flow chart of the program edited by Visual C# are introduced. The main steps of transferring work are elaborated.
磁性数据通常由磁力计记录在文本文件中。它们不容易处理,经常被转移并写入Excel文件以进一步处理。本文的目的是讨论如何使用Visual c#来完成转换工作。介绍了用Visual c#编写的程序的开发工具、关键技术和流程图。阐述了转移工作的主要步骤。
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引用次数: 0
Low-complexity registration of visual imagery with 3-D LiDAR 三维激光雷达视觉图像的低复杂度配准
Prakash Duraisamy, B. Yassine, Ye Yu, S. Jackson, K. Namuduri, B. Buckles
A robust 3-D model reconstruction plays vital role in many real world applications like city planning, architecture design and cartography. In this paper, we develop a low complexity robust hybrid model-based algorithm for registering oblique aerial images onto a 3D model generated from airborne Light Detection and Ranging data. Our proposed algorithm consists of two steps. In the first step, we use an intelligent search process to roughly estimate the extrinsic parameters of a calibrated camera without any apriori knowledge. The estimated camera parameters are used to transform the Digital Surface Model (DSM) to a view close to the view from which the visual image is taken. The second step is an adjustment process, in which we determine the transformation that maps the visual image onto DSM. Experiments were conducted on a real world datasets.
一个强大的三维模型重建在城市规划、建筑设计和制图等许多现实应用中起着至关重要的作用。在本文中,我们开发了一种低复杂度的鲁棒混合模型算法,用于将倾斜航空图像配准到由机载光探测和测距数据生成的3D模型上。我们提出的算法包括两个步骤。在第一步中,我们使用智能搜索过程来粗略估计校准相机的外部参数,而不需要任何先验知识。估计的相机参数用于将数字表面模型(DSM)转换为接近视觉图像拍摄视图的视图。第二步是调整过程,在此过程中,我们确定将视觉图像映射到DSM的转换。实验是在真实世界的数据集上进行的。
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引用次数: 0
Microstrip, slotted rectangular waveguide array and Patch-fed rod antenna design and simulation for Gigabit wireless communications at 60 GHz 60 GHz千兆无线通信微带、开槽矩形波导阵列和贴片馈电棒天线的设计与仿真
T. Rao, S. Ramesh
This paper deals with the design of 2×2 Microstrip, Slotted rectangular waveguide antenna array and Patch-fed rod antennas needed for ultra high-speed, ultra high-capacity wireless communication systems which work at Millimeter waves at 60 GHz for different multimedia applications in indoor environments and illustrates its specifications and requirements. The antenna in such systems requires high gain, high-efficient, wider beamwidth and high performance design specifications. The designed antennas were simulated using electromagnetic software Agilent's EMPro and Ansys HFSS.
本文介绍了超高速、超高容量无线通信系统在60 GHz毫米波下工作所需的2×2微带、开槽矩形波导天线阵列和贴片馈线天线的设计,并对其规格和要求进行了说明。这种系统中的天线需要高增益、高效率、更宽的波束宽度和高性能的设计规格。采用安捷伦EMPro和Ansys HFSS电磁软件对设计的天线进行仿真。
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引用次数: 1
Computer Vision system for cashew kernel area estimation 腰果核面积估计的计算机视觉系统
Narendra V G, Dasharathraj K. Shetty, Dr Hareesh
Carrying out Food and Agricultural product Quality Inspection manually is a laborious task. Maintaining consistent product quality is not possible due to human errors. Customer expectations are increasing day by day and seek products of high quality. However, in India the Inspection of Food and Agricultural produce is done manually in most of the cases. Work in the Computer Vision area is being extensively carried out these days to provide automated, non-destructive and cost-effective techniques to achieve this. Computer Vision uses Image processing as one of the intermediary tools to achieve the ultimate objective. Cashew is one of the important commercial crops of India. The objective of this research is to provide an image processing method for measuring cashew kernel Size (i.e. length and width/height) with an accurate and smallest relative error.
人工进行食品和农产品质量检验是一项繁重的工作。由于人为错误,不可能保持一致的产品质量。客户的期望日益提高,对产品质量的要求越来越高。然而,在印度,食品和农产品的检验在大多数情况下是手工完成的。目前,计算机视觉领域的工作正在广泛开展,以提供自动化、非破坏性和成本效益高的技术来实现这一目标。计算机视觉将图像处理作为实现最终目标的中介工具之一。腰果是印度重要的经济作物之一。本研究的目的是提供一种精确且相对误差最小的腰果仁尺寸(即长度和宽度/高度)的图像处理方法。
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引用次数: 5
Improving the quality of service based on route stability in MANETs Using Dynamic Source routing protocol 基于路由稳定性的动态源路由协议改进manet服务质量
S. Vinothkumar, R. Asokan
A Mobile Ad hoc Network (MANET) is a collection of nodes or mobile devices that communicate with each other without any centralized administrator. When a route is broken in an on-demand routing protocol, route recovery and maintenance procedures are initiated and it will consume more bandwidth and the delay will be high. To improve the performance of DSR a simple stability model is used. The stability of the route is analyzed by the received signal strength. The received signal strength from a node is higher than the threshold value the signal strength value will be stored in the neighbor information table. Using this information source select the path with high stability value and thus reduce the path break in intermediate nodes. Simulation results show improved performance in the throughput and reduce the packet loss, delay.
移动自组织网络(MANET)是节点或移动设备的集合,这些节点或移动设备相互通信,没有任何集中的管理员。在按需路由协议中,当路由中断时,会启动路由恢复和维护程序,会占用更多的带宽,并且延迟较高。为了提高DSR的性能,采用了一种简单的稳定性模型。通过接收到的信号强度分析了线路的稳定性。当从某个节点接收到的信号强度高于阈值时,信号强度值将被存储在邻居信息表中。利用该信息源选择稳定性值高的路径,从而减少中间节点的路径中断。仿真结果表明,该方法提高了吞吐量,减少了丢包、时延。
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引用次数: 5
Reliability evaluation suite for cloud services 用于云服务的可靠性评估套件
N. Padmapriya, R. Rajmohan
Cloud computing is emanated as a useful paradigm for building applications with cloud services. Different types of resources can be published as services, and a many benefits are delivered with them. For the services to be more reliable to service consumers a reliability model should be proposed for cloud based services. Since in cloud many users' access the same information the services should have high reliability feature. Hence reliability is most important feature for cloud. In this paper, we propose a reliability evaluation suite for cloud services, which includes quality attributes and metrics. A case study is presented to show its applicability.
云计算是作为使用云服务构建应用程序的有用范例而产生的。不同类型的资源可以作为服务发布,并提供许多好处。为了使服务对服务消费者更可靠,应该为基于云的服务提出可靠性模型。由于在云中许多用户访问相同的信息,因此服务应该具有高可靠性的特点。因此,可靠性是云计算最重要的特性。在本文中,我们提出了一个云服务可靠性评估套件,它包括质量属性和度量。通过实例分析,说明了该方法的适用性。
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引用次数: 5
Conceptual study and operational overview on Variable Frequency Transformer used for grid interconnections 电网互联用变频变压器的概念研究与运行概述
V. R. Vanajaa, N. A. Vasanthi
Electric-power transmission is the bulk transfer of electrical energy, from generating power plants to electrical substations located near demand centers. Electricity is transmitted at high voltages (110 kV or above) to reduce the energy lost in long-distance transmission. Since 2004, an alternative technology has been in commercial operation in North America, which has proven to be a reliable and stable vehicle to move power between two points. The two points in question need not be synchronous. This technology is the Variable Frequency Transformer, or VFT. Variable frequency transformers provide transmission solutions for a smarter grid, enabling transmission system operators to control power flows between power grids with high reliability, speed and efficiency, while offering flexibility It is a controllable, bi-directional transmission device that can transfer power between asynchronous networks. Variable Frequency Transformers can convert this power to and from grids without converting the power into DC thus eliminating the harmonic distortions. Another advantage with VFT is that we can have infinite phase shifts between the two powers where as in conventional devices we could have only few predefined phase shifts. This paper introduces the VFT and provides a brief explanation of the technology and its benefits.
电力传输是电能的大量传输,从发电厂到位于需求中心附近的变电站。电力以高电压(110千伏或以上)传输,以减少长距离传输中的能量损失。自2004年以来,一种替代技术已在北美投入商业运营,该技术已被证明是在两点之间传输电力的可靠和稳定的交通工具。所讨论的两点不必是同步的。这项技术就是变频变压器,简称VFT。变频变压器为智能电网提供了输电解决方案,使输电系统运营商能够以高可靠性、高速度和高效率控制电网之间的潮流,同时提供灵活性。它是一种可控的双向输电设备,可以在异步网络之间传输电力。变频变压器可以在不将电力转换成直流电的情况下将电力从电网转换到电网,从而消除了谐波畸变。VFT的另一个优点是,我们可以在两个功率之间有无限的相移,而在传统器件中,我们只能有很少的预定义相移。本文介绍了VFT,并简要说明了该技术及其优点。
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引用次数: 4
Towards an approach for improved security in wireless sensor networks 一种提高无线传感器网络安全性的方法
T. Thenmozhi, R. Somasundaram
Wireless sensor networks are of a large number of low cost resource constrained sensor nodes. Each node has to sense certain phenomena and forward its data towards a central node, which is also called the base station. The range of applications include basic data reading like temperature to a wide variety of applications including agriculture. A large amount of work has happened into the design and analysis of the sensor devices. These sensor can handle high level of data exchange without reduction in performance. The data to be exchanged are of vital importance and need to be handled with high level of confidentiality. Though there are security algorithms that offers mechanisms for data confidentiality there is a rising need for improvement for better level of security. The hackers can be from node level to process level. This paper outlines the different security issues in wireless sensor network and provides scope for improvement.
无线传感器网络由大量低成本、资源受限的传感器节点组成。每个节点都必须感知某些现象,并将其数据转发给中心节点,该中心节点也称为基站。应用范围包括基本数据读取,如温度到各种应用,包括农业。大量的工作发生在传感器器件的设计和分析中。这些传感器可以处理高水平的数据交换而不降低性能。交换的数据至关重要,需要以高度机密的方式处理。尽管存在提供数据机密性机制的安全算法,但为了提高安全性水平,对改进的需求正在增加。黑客可以从节点级到进程级。本文概述了无线传感器网络中的各种安全问题,并提出了改进的余地。
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引用次数: 2
P2P Botnet detection: Combined host- and network-level analysis P2P僵尸网络检测:结合主机和网络级分析
K. Muthumanickam, E. Ilavarasan
As Internet becomes part of our daily life, Botnet (BotNetwork) attacker take advantage of it to misuse in different ways. Botnet is a collection of interconnected compromised computers (Bots) which are remotely controlled by its owner (BotMaster) under a common command-and-control(C&C) infrastructure. Botnets can be innovatively designed propositionally for technology improvement, which makes the bonet detection a challenging problem. As P2P (peer to peer) Botnet has a unique distributed attacking behavior, it is difficult to detect this bot. Thus to build an efficient botnet detection system we coined a framework that combines host level information and network level information for p2p botnet detection.
随着互联网成为我们日常生活的一部分,僵尸网络攻击者利用互联网进行各种方式的滥用。僵尸网络是一组相互连接的受感染计算机(Bots),它们由其所有者(BotMaster)在通用命令与控制(C&C)基础设施下远程控制。为了技术的改进,可以对僵尸网络进行创新设计,这使得僵尸网络的检测成为一个具有挑战性的问题。由于P2P(点对点)僵尸网络具有独特的分布式攻击行为,因此很难检测到这种僵尸网络。为了构建高效的僵尸网络检测系统,我们提出了一个结合主机级信息和网络级信息的p2p僵尸网络检测框架。
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引用次数: 10
期刊
2012 Third International Conference on Computing, Communication and Networking Technologies (ICCCNT'12)
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