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Fuzzy rule-based controller for binary distillation column 二元精馏塔模糊规则控制器
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007086
Ashutosh Kumar Singh, B. Tyagi, Vishal Kumar
In this paper a fuzzy logic based control scheme has been proposed for distillation column. Fuzzy Inference Systems (FIS) is proposed to adjust the manipulated variables to get the desired composition of products for a binary distillation column. To control the top and bottom product composition two separate fuzzy inference systems has been designed. The scheme uses fuzzy rules and reasoning to determine the desired outputs based on the error signal and its first difference
本文提出了一种基于模糊逻辑的精馏塔控制方案。提出了模糊推理系统(FIS)来调整操纵变量,以得到理想的二元精馏塔产品组成。为了控制上下积的组成,设计了两个独立的模糊推理系统。该方案利用模糊规则和推理,根据误差信号及其一阶差分来确定期望的输出
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引用次数: 1
Feature extraction based IP traffic classification using machine learning 基于特征提取的机器学习IP流量分类
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007095
Kuldeep Singh, S. Agrawal
With rapid growth in internet traffic over last couple of years due to the usage of large number of internet applications, IP traffic classification becomes very necessary for various internet service providers to optimize their network performance and for governmental intelligence organizations. Today, traditional IP traffic classification techniques such as port number and payload based direct packet inspection techniques are rarely used because of use of dynamic port number instead of well-known port number in packet headers and various cryptographic techniques which inhibit inspection of packet payload. Current trends are use of machine learning (ML) techniques for IP traffic classification. In this research paper, two different real time internet traffic datasets has been developed using packet capturing tool for 2 minute and 2 second packet capturing duration. After that, five ML algorithms MLP, RBF, C4.5, Bayes Net and Naïve Bayes are employed for internet traffic classification with these datasets. This experimental analysis shows that Bayes Net and C4.5 are effective ML techniques for IP traffic classification with accuracy in the range of 88% with reduction in packet capturing duration.
在过去的几年中,由于大量互联网应用程序的使用,互联网流量迅速增长,IP流量分类对于各种互联网服务提供商优化其网络性能和政府情报机构变得非常必要。传统的IP流分类技术,如基于端口号和有效载荷的直接包检测技术,由于在包头中使用动态端口号而不是已知端口号,以及各种加密技术抑制了对包有效载荷的检测,因此很少使用。目前的趋势是使用机器学习(ML)技术进行IP流量分类。在本研究中,使用包捕获工具开发了两个不同的实时互联网流量数据集,捕获时间分别为2分钟和2秒。然后,使用MLP、RBF、C4.5、Bayes Net和Naïve Bayes五种ML算法对这些数据集进行互联网流量分类。实验分析表明,贝叶斯网络和C4.5是有效的IP流量分类ML技术,准确率在88%范围内,数据包捕获时间减少。
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引用次数: 7
Trivial solution for a non-trivial problem in MANETs manet中一个非平凡问题的平凡解
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007075
Awadhesh Kumar Singh, Shantanu Sharma
The wireless communication has earned much popularity, in the recent past. The discipline has been able to grab the focus of academia and the attention of industry. Specifically, the variants of wireless communication, like MANET, BAN, PAN, VANET, etc, are scoring more as they are highly adaptive in nature and light in installation. However, the coordination among the nodes, of such networks, stands still as a challenge. In the context of MANET, a wide range of coordination protocols exist for fault free as well as faulty scenario. Some of them provide very limited failure resiliency by electing vice-leader whereas others exhibit slightly better failure tolerance by having more than one passive (stand by) leaders. Unfortunately, in the worst case, when both, leader and possible alternatives crash, these protocols initiate a completely new instance of the protocol. In this paper, we propose a best node based election protocol. Also, we provide a simple and proactive approach to make the protocol fault tolerant. Moreover, the fault tolerant approach provided in the article can be implemented in most of the leader election protocols, specifically, used in wireless communication. However, we have considered mobile ad hoc environment to show case the strength of our proactive approach. The proposal has been substantiated by efficiency analysis and exhaustive simulation.
在最近的过去,无线通信获得了很大的普及。该学科已成为学术界和工业界关注的焦点。具体来说,无线通信的变体,如MANET、BAN、PAN、VANET等,由于其具有高度的自适应性质和安装轻便性而获得更多的关注。然而,这种网络的节点之间的协调仍然是一个挑战。在MANET环境下,存在各种各样的无故障和故障场景的协调协议。其中一些通过选举副领导提供了非常有限的故障弹性,而另一些通过拥有多个被动(备用)领导来表现出稍好的故障容忍度。不幸的是,在最坏的情况下,当leader和可能的替代方案都崩溃时,这些协议将启动一个全新的协议实例。本文提出了一种基于最佳节点的选举协议。此外,我们还提供了一种简单而主动的方法来使协议具有容错性。此外,本文提供的容错方法可以在大多数leader选举协议中实现,特别是在无线通信中使用的协议。但是,我们考虑了移动特设环境,以展示我们主动方法的优势。效率分析和详尽仿真验证了该方案的有效性。
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引用次数: 0
Contemporary study of cloud computing environment 云计算环境的当代研究
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007101
V. Kukreja, Jaiteg Singh, Anju Sharma
Cloud computing is an emerging model of business computing. It is basically a model that helps to provide on-demand network access from a shared pool that consists of client computers, distributed servers, cloud storage, applications and cloud services to the consumers. Cloud computing is definitely more than the internet. It is touching the new heights in the modern era. Cloud computing is making the computer industry more fashionable than the women's fashion. This paper basically tells about cloud components, cloud services and discusses about pros & cons of cloud computing.
云计算是一种新兴的商业计算模式。它基本上是一种模型,帮助用户从由客户端计算机、分布式服务器、云存储、应用程序和云服务组成的共享池中按需提供网络访问。云计算绝对不只是互联网。它正在触及现代的新高度。云计算使计算机行业比女性时尚更时尚。本文主要介绍了云组件、云服务以及云计算的优缺点。
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引用次数: 0
Performance evaluation on segmentation methods for medical images 医学图像分割方法的性能评价
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007062
M. Khare, R. Srivastava, A. Khare
This paper presents the performance evaluation of different segmentation algorithms for medical images. Accuracy and clarity are very important issues for medical imaging and same in the case with segmentation. In this paper, we have proposed a level set method without reinitialization with some specific shapes for segmentation and compared our proposed approach for segmentation with three other approaches where the first approach is based on region splitting based region growing category, second is based on region merging based region growing category and third is based on level set. This comparison is based on six different performance parameters namely Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Maximum Difference (MD), Normalized Cross Correlation (NCC), Normalized Absolute Error (NAE) and Structural Content (SC). We have compared the proposed approach with three above mentioned approaches for several images, out of which results for four images are provided in this paper, and we find that the approach is better than the other one.
本文对医学图像的分割算法进行了性能评价。准确性和清晰度是医学成像中非常重要的问题,分割也是如此。在本文中,我们提出了一种不需要重新初始化的具有特定形状的水平集分割方法,并将我们提出的分割方法与其他三种方法进行了比较,第一种方法是基于区域分割的区域增长类别,第二种是基于区域合并的区域增长类别,第三种是基于水平集的分割方法。这种比较基于六个不同的性能参数,即均方误差(MSE)、峰值信噪比(PSNR)、最大差(MD)、归一化相互关系(NCC)、归一化绝对误差(NAE)和结构含量(SC)。我们对多幅图像与上述三种方法进行了比较,本文给出了其中四幅图像的结果,我们发现该方法优于另一种方法。
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引用次数: 5
Scene flow estimation from stereo video source 基于立体视频源的场景流估计
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007058
Aniket Bera
There are various methods to estimate the scene flow. Most of the methods use motion estimation with stereo re-construction. This paper describes an interesting way to fuse the video from two camera's and create a 3D reconstruction. The proposed algorithm incorporates probabilistic distributions for optical flow and disparity. Multiple such re-created renderings can be put together to create re-timed movies of the event, with the resulting visual experience richer than that of a regular video clip, or switching between images from multiple cameras, do a head tracking of the viewer and change the view angle accordingly or view it on a mobile device using the accelerometer for camera tilting for the 3D effect.
估计场景流量的方法有很多种。大多数方法使用运动估计和立体重建。本文介绍了一种有趣的方法,融合视频从两个摄像机和创建一个三维重建。该算法结合了光流和视差的概率分布。可以将多个这样的重新创建的渲染图放在一起创建事件的重新计时的电影,由此产生的视觉体验比常规视频剪辑更丰富,或者在多个摄像机的图像之间切换,对观看者进行头部跟踪并相应地改变视角,或者使用加速计在移动设备上查看相机倾斜的3D效果。
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引用次数: 0
Crank-Nicolson scheme to transient MHD free convective flow through semi-infinite vertical porous plate with constant suction and temperature dependent heat source 恒吸力和温度热源作用下半无限垂直多孔板瞬态MHD自由对流的Crank-Nicolson格式
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007070
Anil Kumar, C. Varshney, S. Lal
In this paper, we are considering transient MHD free convective flow through an isothermal semi-infinite vertical porous plate with temperature dependent heat source. The governing equations have been solved by using Crank-Nicolson scheme. The non-dimensional form of velocity profiles, temperature profiles, local and average skin-friction and Nusselt number are depicted graphically for different values of the parameter entering into the problem.
在本文中,我们考虑瞬态MHD自由对流通过具有温度依赖热源的等温半无限垂直多孔板。用Crank-Nicolson格式求解了控制方程。对于进入问题的不同参数值,用图形表示了速度曲线、温度曲线、局部摩擦和平均摩擦以及努塞尔数的无量纲形式。
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引用次数: 2
Automatic human activity recognition in video using background modeling and spatio-temporal template matching based technique 基于背景建模和时空模板匹配技术的视频人体活动自动识别
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007072
C. M. Sharma, A. Kushwaha, S. Nigam, A. Khare
Human activity recognition is a challenging area of research because of its various potential applications in visual surveillance. A spatio-temporal template matching based approach for activity recognition is proposed in this paper. We model the background in a scene using a simple statistical model and extract the foreground objects in a scene. Spatio-temporal templates are constructed using the motion history images (MHI) and object shape information for different human activities in a video like walking, standing, bending, sleeping and jumping. Experimental results show that the method can recognize these multiple activities for multiple objects with accuracy and speed.
人类活动识别是一个具有挑战性的研究领域,因为它在视觉监控中有各种潜在的应用。提出了一种基于时空模板匹配的活动识别方法。我们使用简单的统计模型对场景中的背景进行建模,并提取场景中的前景对象。利用运动历史图像(motion history images, MHI)和物体形状信息构建视频中不同人类活动的时空模板,如行走、站立、弯曲、睡眠和跳跃。实验结果表明,该方法可以准确、快速地识别多个目标的多个活动。
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引用次数: 16
MGC middleware for grid computing: the Globus Toolkit 用于网格计算的MGC中间件:Globus Toolkit
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007099
Deepti Malhotra, Devanand
Grid computing has made substantial advances during the last decade. A major concern in Grid environments is dealing with the high degree of heterogeneity of resources that can range from laptops and PCs to supercomputers. The unified virtual view of Grid systems and the efficient and transparent access to computational resources is achieved by Grid middleware. The research paper has also discussed the role of grid middlewares in grid computing. Grid middlewares designed by different organizations e.g. Globus Toolkit, Alchemi, Condor etc are also discussed in the paper. However, the development and use of applications in high performance and distributed computing in practice is very difficult and time consuming, because of the need to deal with complex and highly heterogeneous systems. The Globus toolkit is a widely accepted tool for building computational grid. The Globus grid programming toolkit is designed to help application developers and tool builders overcome these obstacles to the construction of "grid-enabled" scientific and engineering applications. The paper includes the main reasons for the strength and popularity of the Globus toolkit. The objective of the paper is to explain a practical introduction to programming for high-performance distributed computing systems, or "computational grids," the capabilities and the use of the Globus grid toolkit to optimize the running time of search applications. We have also describe and compare the functionality and performance of the GRAM2 and GRAM4 job execution services included in Globus Toolkit version 4 (GT4).
网格计算在过去十年中取得了实质性的进展。网格环境中的一个主要问题是处理从笔记本电脑和pc到超级计算机的资源的高度异构性。网格中间件实现了网格系统的统一虚拟视图和对计算资源的高效透明访问。本文还讨论了网格中间件在网格计算中的作用。本文还讨论了不同组织设计的网格中间件,如Globus Toolkit、Alchemi、Condor等。然而,高性能和分布式计算应用程序的开发和使用在实践中是非常困难和耗时的,因为需要处理复杂和高度异构的系统。Globus工具包是一种被广泛接受的用于构建计算网格的工具。Globus网格编程工具包旨在帮助应用程序开发人员和工具构建者克服这些障碍,以构建“支持网格的”科学和工程应用程序。本文包括Globus工具包的强大和流行的主要原因。本文的目的是解释高性能分布式计算系统(或“计算网格”)编程的实用介绍,以及Globus网格工具包优化搜索应用程序运行时间的功能和使用。我们还描述并比较了Globus Toolkit版本4 (GT4)中包含的GRAM2和GRAM4作业执行服务的功能和性能。
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引用次数: 0
RR based grid scheduling algorithm 基于RR的网格调度算法
Pub Date : 2011-07-21 DOI: 10.1145/2007052.2007076
M. Bhatia
Grid computing is a high performance computing environment to solve larger scale computational demands. Grid computing contains resource management, task scheduling, security problems, information management and so on. Task scheduling in an important aspect of distributed computing. As grid computing is a form of distributed computing with heterogeneous resources working in a shared environment with no central control. The main aim of Grid scheduling is to increase the system throughput and to satisfy the job requirements from the available resources. In this paper we introduce a new resource requirement (RR) based task-scheduling algorithm for grid computing. The new algorithm is based on the resource requirement of the jobs. It has been tested in simulated grid environment. The experimental results showed a significant improvement in terms of a smaller makespan time in various applications.
网格计算是解决大规模计算需求的高性能计算环境。网格计算包含资源管理、任务调度、安全问题、信息管理等内容。任务调度是分布式计算的一个重要方面。由于网格计算是分布式计算的一种形式,其异构资源在没有中央控制的共享环境中工作。网格调度的主要目的是提高系统吞吐量,并利用可用资源满足作业需求。本文提出了一种新的基于资源需求的网格计算任务调度算法。新算法基于作业的资源需求。并在模拟网格环境中进行了测试。实验结果表明,在不同的应用程序中,在更短的完工时间方面有显著的改进。
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引用次数: 3
期刊
International Conference on Advances in Computing and Artificial Intelligence
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