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2011 International Conference on Computational Intelligence and Communication Networks最新文献

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Document Clustering Using K-Means, Heuristic K-Means and Fuzzy C-Means 基于K-Means、启发式K-Means和模糊C-Means的文档聚类
V. Singh, Nisha Tiwari, Shekhar Garg
Document clustering refers to unsupervised classification (categorization) of documents into groups (clusters) in such a way that the documents in a cluster are similar, whereas documents in different clusters are dissimilar. The documents may be web pages, blog posts, news articles, or other text files. This paper presents our experimental work on applying K-means, heuristic K-means and fuzzy C-means algorithms for clustering text documents. We have experimented with different representations (tf, tf.idf & Boolean) and different feature selection schemes (with or without stop word removal & with or without stemming). We ran our implementations on some standard datasets and computed various performance measures for these algorithms. The results indicate that tf.idf representation, and use of stemming obtains better clustering. Moreover, fuzzy clustering produces better results than both K-means and heuristic K-means on almost all datasets, and is a more stable method.
文档聚类指的是对文档进行无监督分类(分类),将文档分成组(集群),这样,集群中的文档是相似的,而不同集群中的文档是不相似的。这些文档可以是网页、博客文章、新闻文章或其他文本文件。本文介绍了我们应用K-means、启发式K-means和模糊C-means算法聚类文本文档的实验工作。我们尝试了不同的表示(tf, tf。idf &布尔)和不同的特征选择方案(带或不带停止词删除&带或不带词干提取)。我们在一些标准数据集上运行了我们的实现,并计算了这些算法的各种性能度量。结果表明:tf。Idf表示,并使用词干提取获得更好的聚类。此外,模糊聚类在几乎所有数据集上的结果都优于K-means和启发式K-means,并且是一种更稳定的方法。
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引用次数: 79
Modeling of Sigma-Delta Modulator Non-idealities with Two Step Quantization in MATLAB/SIMULINK 基于MATLAB/SIMULINK的二步量化Sigma-Delta调制器非理想性建模
S. Jaykar, P. Palsodkar, P. Dakhole
An architecture to simplify the circuit implementation of analog-to-digital (A/D) converter in a sigma-delta (S?) modulator is proposed. The two-step quantization technique is utilized to design architecture of S? modulator. The architecture is based on dividing the A/D conversion into two time steps for achieving resolution improvement without decreasing speed. The novel architecture is designed to obtain high dynamic range of input signal, high signal-to-noise ratio and high reliability. Switched capacitor (SC) modulator performance is prone to various nonidealities, which affects overall circuit performance. In this paper a set of models are proposed which takes into account SC S? modulator nonidealities, such as sampling jitter, kT/C noise, and operational amplifier parameters (noise, finite dc gain, finite bandwidth, slew-rate and saturation voltages). Each nonidealities are modelled mathematically and their behaviour is verified using different analysis in MATLAB Simulink. Simulation results on a second-order SC S? modulator with two step quantization demonstrate the validity of the models proposed.
提出了一种简化sigma-delta (S?)调制器中模数(A/D)转换器电路实现的结构。采用两步量化技术设计了S?调制器。该架构基于将A/D转换分为两个时间步,以在不降低速度的情况下实现分辨率的提高。该结构具有输入信号高动态范围、高信噪比和高可靠性的特点。开关电容(SC)调制器的性能容易出现各种非理想性,从而影响电路的整体性能。本文提出了一套考虑SC - S?调制器的非理想性,如采样抖动、kT/C噪声和运算放大器参数(噪声、有限直流增益、有限带宽、慢速和饱和电压)。对各非理想性进行了数学建模,并在MATLAB Simulink中通过不同的分析对其行为进行了验证。二阶SC的仿真结果两步量化调制器验证了所提模型的有效性。
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引用次数: 3
Prevention Algorithm against the Vulnerability of Type 0 Routing Header in Ipv6 Ipv6中Type 0路由头漏洞的防范算法
Mohit Wadhwa, Manju Khari
The next generation internet protocol version 6 was developed by the network working group of the Internet Engineering Task Force (IETF), to extend and eventually replace IPv4 capabilities and brings many new features over IPv4 like large address space, flow labelling capabilities, expended address capabilities, demand for real time data transfer, security at IP level and so on. However there are various vulnerabilities reported in contrast to the new features emerging in IPv6. One of the kinds of these vulnerabilities exists in routing header of IPv6. Routing header is a kind of extension header of IPv6 and it's used by an IPv6 source to list one or more intermediate nodes to be visited on the way to a packet destination. But routing header has serious vulnerability and by using this vulnerability attacker can by-pass the security principles at packet filtering system such as router/firewall without breaking the packet filtering rules and than he can access the internal protected network by using routing header. This paper suggests a prevention algorithm that uses with existed packet filtering system and solves the vulnerabilities caused by routing header.
下一代互联网协议版本6由互联网工程任务组(IETF)的网络工作组开发,扩展并最终取代IPv4功能,并在IPv4上带来许多新特性,如大地址空间、流标签功能、扩展地址功能、实时数据传输需求、IP级别的安全性等。然而,与IPv6中出现的新特性相比,报告中存在各种漏洞。其中一种漏洞存在于IPv6的路由头中。路由报头是IPv6的一种扩展报头,它被IPv6源用来列出一个或多个在到达数据包目的地的途中要访问的中间节点。但是路由头存在着严重的漏洞,攻击者利用这一漏洞可以在不违反包过滤规则的情况下绕过路由器/防火墙等包过滤系统的安全原则,从而利用路由头访问受保护的内部网络。本文提出了一种与现有包过滤系统结合使用的防范算法,解决了路由头所带来的漏洞。
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引用次数: 2
Add-On to the ETS Algorithm to Improve Its Efficiency in Special Cases Such as a Crown Graph 附加到ETS算法,以提高其在特殊情况下的效率,如冠图
P. Jain, S. Mathur, P. Bhatt
The ETS (Edge Table Scanning) algorithm for graph coloring problem colors almost any graph with minimum number of colors, but still, it has a limitation. This paper explains that limitation and also introduces an approach to resolve the limitation. We here-after call that approach as the "sequencing" algorithm.
边缘表扫描(Edge Table Scanning, ETS)算法用于图的着色问题,几乎可以用最小的颜色数对任何图进行着色,但它仍然有局限性。本文阐述了这一局限性,并介绍了解决这一局限性的方法。我们将这种方法称为“排序”算法。
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引用次数: 0
A GA-Based Approach to Resource Scheduling Supporting Flexible Quality Management of Ubiquitous Services 支持泛在服务柔性质量管理的基于遗传算法的资源调度方法
M. Horng, Yen-Ching Chan, Y. Kuo, Chia-Ming Yang, Jang-Pong Hsu
In ubiquitous services, concurrent requests from various services for limited service resources such as network bandwidth, easily lead to a problem of resource insufficiency. The resource scheduling for ubiquitous services is the key to improve the tradeoff between request admittance, resource utilization and service quality. In this paper, a GA-based approach to resource scheduling to enable a flexible quality management of ubiquitous services is proposed to solve the problem mentioned above. First, the relationships between service of quality and resource requirements are explored. There are four different types of relations including (1) linear with saturation (LWS), (2) linear with dead zone and saturation (LWDS), (3) shifted step (SS), and (4) exponential (EX). Based on the derivation of the resource-quality model with the four relations, we define the maximum and minimum of resource requirement and regard the scope as the negotiation criterion for quality guarantee in genetic algorithm. Experimental results show that the proposed approach definitely benefits quality guarantee of service and the increasing of service request admittance ratio.
在泛在服务中,各种业务对有限的业务资源(如网络带宽)进行并发请求,容易导致资源不足的问题。泛在服务的资源调度是实现请求准入、资源利用率和服务质量之间平衡的关键。为了解决上述问题,本文提出了一种基于遗传算法的资源调度方法,以实现对泛在服务的灵活质量管理。首先,探讨了服务质量与资源需求之间的关系。有四种不同类型的关系,包括(1)线性与饱和(LWS),(2)线性与死区和饱和(LWDS),(3)移阶(SS)和(4)指数(EX)。在推导具有这四种关系的资源质量模型的基础上,定义了资源需求的最大值和最小值,并将其范围作为遗传算法质量保证的协商准则。实验结果表明,该方法对保证服务质量和提高服务请求准入率有明显的好处。
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引用次数: 1
Analysis of Deformities in Lung Using Short Time Fourier Transform Spectrogram Analysis on Lung Sound 利用短时间傅里叶变换频谱分析肺声的肺部畸形
A. Parkhi, M. Pawar
The lung itself cannot generate sound if there is no airflow, pressure differences between structures within the thorax. Listening and interpreting lung sounds by a stethoscope had been an important component of screening and diagnosing lung diseases. However this practice has always been vulnerable to poor audibility, inter-observer variations (between different physicians) and poor reproducibility. Lung sound consists of two main types of sound Basic Lung sound and adventitious sound. The timing, repeatability, and shape of crackles are important parameters for diagnosis. In this paper we aim at automatic analysis of lung sounds for wheeze and crackle detection and classification.
如果没有气流,胸腔内部结构之间的压力差,肺本身就不能发声。听诊器听和解释肺音一直是筛查和诊断肺部疾病的重要组成部分。然而,这种做法总是容易受到可听性差、观察者之间(不同医生之间)的差异和可重复性差的影响。肺音主要有两种类型:基本肺音和外来音。裂纹产生的时间、可重复性和形状是诊断的重要参数。本文的目的是对肺音进行自动分析,以进行喘息和噼啪声的检测和分类。
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引用次数: 10
P2PCS - A Pure Peer-to-Peer Computing System for Large Scale Computation Problems P2PCS -一个用于大规模计算问题的纯点对点计算系统
Jigyasu Dubey, V. Tokekar
Complex and large scale scientific computation problems require high computing machines to process data or jobs which are expensive in terms of money. One most successful and low cost mechanism for acquiring the necessary computation power for such type of application is the Peer-to-Peer computing paradigm, which makes use of the computational power of personal computers. The peer-to-peer (P2P) systems represent the applications that allow direct communication between peers and resource harvesting. In this paper we propose a generic Peer-to-Peer computing system (P2PCS) to process complex and large scale scientific computation problems. The system utilizes the CPU cycles of desktop PCs which are connected to the network to perform the computations. We are implementing this system in JAVA technology by using Sun's JXTA --JXSE 2.5 libraries.
复杂和大规模的科学计算问题需要高计算机器来处理数据或工作,这在金钱方面是昂贵的。获得此类应用程序所需的计算能力的最成功且成本最低的机制是点对点计算范式,它利用了个人计算机的计算能力。点对点(P2P)系统代表了允许点之间直接通信和资源收集的应用程序。本文提出了一种通用的点对点计算系统(P2PCS)来处理复杂和大规模的科学计算问题。该系统利用连接到网络的台式电脑的CPU周期来执行计算。我们通过使用Sun的JXTA—JXSE 2.5库,在JAVA技术中实现了这个系统。
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引用次数: 3
Design of Genetic Algorithm for Knapsack Problem to Perform Stock Portfolio Selection Using Financial Indicators 利用财务指标进行股票组合选择的背包问题遗传算法设计
T. Patalia, Dr. G. R. Kulkarni
In the financial markets, there are different assets, such as stocks, bonds, foreign exchanges, options, commodities, real estates and future contracts, available for trading. The qualities of these assets vary from very good to extremely poor. Usually, it is difficult for investors to find out those good quality assets because of information asymmetry and asset price fluctuations. Therefore, it is not wise to use portfolio theory blindly for optimizing asset allocation among some low quality assets. The suitable way of constructing a portfolio is to select some good quality assets. Markowitz's portfolio theory only provides a solution to asset selection among the pre-determined assets.
在金融市场上,有不同的资产可供交易,如股票、债券、外汇、期权、商品、房地产和期货合约。这些资产的质量从非常好到极差不等。通常,由于信息不对称和资产价格波动,投资者很难发现那些优质资产。因此,盲目运用投资组合理论在一些低质量资产之间进行资产优化配置是不明智的。构建投资组合的合适方法是选择一些优质资产。马科维茨的投资组合理论只提供了一个在预先确定的资产中进行资产选择的解决方案。
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引用次数: 11
A Comparison of 2D Moment Based Description Techniques for Classification of Bamboo Plant 基于二维矩的竹植物分类描述技术比较
Krishnavir Singh, I. Gupta, Sangeeta Gupta
Generic Fourier descriptor yield spectral features and have better retrieval performance due to multi-resolution analysis in both radial and circular directions of the shape. In the proposed work, an automated bamboo species recognition system based on shape features of bamboo culm sheath has been developed using Generic Fourier Moment and compare the result with Hu moment. The performance of the classifier is compared based on the classifier accuracy and conclude that the Fourier moment have significantly good results compare to Hu moment. The results obtained shows considerable recognition accuracy proving that the techniques used is suitable to be implemented for commercial purposes.
通用傅里叶描述子可以在形状的径向和圆形方向上进行多分辨率分析,从而产生光谱特征并具有更好的检索性能。本文提出了一种基于竹鞘形状特征的基于通用傅里叶矩的竹种自动识别系统,并与胡矩进行了比较。根据分类器的精度对分类器的性能进行了比较,得出傅里叶矩与胡矩相比有明显好的结果。结果表明,该方法具有较高的识别精度,适用于商业应用。
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引用次数: 1
Image Restoration Using a Multilayered Quantum Backpropagation Neural Network 基于多层量子反向传播神经网络的图像恢复
S. Mukherjee, Raka Chowdhury, S. Bhattacharyya
The problem of image restoration in presence of blur and noise has been a very important problem in the domain of digital image processing and computer vision. A quantum inspired back propagation neural network (QBPNN) architecture based on quantum gates (single qubit rotation gates and two qubit controlled-not gates) has been used and its back propagation learning formulae have been proposed in this article for the task of restoration of images from noisy and blurred perspectives. The superiority of the QBPNN architecture is clearly demonstrated in terms of convergence rate and speed as compared to the classical multilayer perceptron (MLP).
存在模糊和噪声的图像恢复问题一直是数字图像处理和计算机视觉领域的一个非常重要的问题。本文提出了一种基于量子门(单量子比特旋转门和两个量子比特受控非门)的量子启发反向传播神经网络(QBPNN)架构,并提出了其反向传播学习公式,用于从噪声和模糊的角度恢复图像。与经典的多层感知器(MLP)相比,QBPNN架构在收敛速率和速度方面的优势得到了清晰的证明。
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引用次数: 11
期刊
2011 International Conference on Computational Intelligence and Communication Networks
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