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2012 World Congress on Information and Communication Technologies最新文献

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A new algorithm for quantitative deciphering of pre-mature MiRNAs using some statistical parameters 一种利用一些统计参数定量破译早熟mirna的新算法
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409146
J. Nath, A. Nath
It is now a prime research area to understand microRNA (miRNA) in a quantitative manner. The researchers across the globe have been working on quantitative estimation of microRNA (miRNA) from different angles. Our present study would be a new addition in the present scenario. The miRNAs are non-coding short ribonucleic acid (RNA) molecules, approximately ~25 nucleotides long. MiRNAs help in understanding the entire scope of post-transcriptional gene regulation. MiRNAs regulate numerous cellular processes and have roles in tissue remodeling. In the present work the authors made an exhaustive study on deciphering the inherent statistical behavior in pre-mature miRNA strings through few statistical parameters namely Hurst Exponent values, Variance, Poly String Mean and Poly String Standard Deviation. These four parameters not only quantify miRNA but also classify the miRNA strings. In the present work the authors have to tried to explore the quantification and classification based on statistical results on nucleotide strings of pre-mature miRNAs of the three organisms Homo sapiens (hsa), Macaca mulatta (mml) and Pan troglodytes (ptr).
以定量的方式了解microRNA (miRNA)是目前一个主要的研究领域。世界各地的研究人员一直在从不同的角度对microRNA (miRNA)进行定量估计。我们目前的研究将是目前情况下的一个新补充。mirna是非编码短核糖核酸(RNA)分子,长约25个核苷酸。mirna有助于理解转录后基因调控的整个范围。mirna调节许多细胞过程并在组织重塑中发挥作用。在本工作中,作者通过赫斯特指数值、方差、聚串均值和聚串标准差等几个统计参数,对早熟miRNA串的固有统计行为进行了详尽的研究。这四个参数不仅可以量化miRNA,还可以对miRNA串进行分类。在目前的工作中,作者试图在智人(Homo sapiens, hsa)、猕猴(Macaca mulatta, mml)和类人猿(Pan troglodytes, ptr)这三种生物的早熟miRNAs核苷酸序列统计结果的基础上,对其进行量化和分类。
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引用次数: 1
Survey of QoS based web service discovery 基于QoS的web服务发现研究综述
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409157
R. Phalnikar, Pradnya A. Khutade
As more and more web services that provide the same functionality are developed, it is a major issue to consider not only the functional requirements but also the non functional requirement (NFR) during web service discovery process. The NFR define the Quality of Service (QoS) of the system. Much work has been done on web service discovery process that considers the functional requirements as selection criteria. However not many service discovery strategies consider the QoS properties. On the basis of our study and survey, we advocate that the best performance is achieved by use of both functional and NFR properties. We believe that the user NFR should be expressed explicitly to aid in selecting a web service that best fulfils them. To support this claim we present a detailed survey of web service discovery systems that makes use of QoS factors. Paper also highlights the importance of ontology to represent the non functional requirements in web service discovery. We emphasize how Ontology if built and refined by domain experts can be used for web service discovery process with the purpose of reuse and improved design.
随着越来越多提供相同功能的web服务的开发,在web服务发现过程中,不仅要考虑功能需求,还要考虑非功能需求(NFR),这是一个主要问题。NFR定义了系统的服务质量(QoS)。在将功能需求作为选择标准的web服务发现过程方面已经做了很多工作。然而,没有多少服务发现策略考虑QoS属性。根据我们的研究和调查,我们主张同时使用功能性和NFR特性来实现最佳性能。我们认为应该明确地表达用户NFR,以帮助选择最能满足用户需求的web服务。为了支持这一说法,我们对利用QoS因素的web服务发现系统进行了详细的调查。文章还强调了本体在web服务发现中表示非功能需求的重要性。我们强调了领域专家如何构建和改进本体,并将其用于web服务发现过程,以实现重用和改进设计。
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引用次数: 13
Compressed sensing for multi-lead electrocardiogram signals 多导联心电图信号的压缩感知
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409186
L. Sharma, S. Dandapat
Compressed sensing is widely used due to its ability to reconstruct the signal accurately from a set of samples which is smaller than the set of samples produced using Nyquist rate. Multi-lead electrocardiogram signals show sparseness in wavelet domain. In this work, compressive sensing is applied for electrocardiogram signals in transform domain using random sensing matrix with independent identically distributed (i.i.d.) entries formed by sampling a Gaussian distribution. The reconstruction of sparsely represented signal is performed by convex optimization problem by L1-norm minimization. The quality of processed signal is satisfactory. Signal distortions are evaluated using percentage root mean square difference (PRD), root mean square error (RMSE), normalized root mean square difference (NRMSD), normalized maximum amplitude error (NMAX) and maximum absolute error (MAE). The lowest PRD value, 1.723%, is found for lead-V5 signal at sparsity level of 26.76%, using database of CSE multi-lead measurement library for simulation.
压缩感知由于能够从一组比使用奈奎斯特率产生的样本集更小的样本集中准确地重建信号而被广泛应用。多导联心电图信号在小波域表现出稀疏性。在这项工作中,压缩感知应用于变换域的心电图信号,使用随机感知矩阵,其中独立同分布(i.i.d)条目由高斯分布采样形成。利用l1范数最小化的凸优化问题对稀疏表示的信号进行重构。处理后的信号质量令人满意。使用百分比均方根差(PRD)、均方根误差(RMSE)、归一化均方根差(NRMSD)、归一化最大幅度误差(NMAX)和最大绝对误差(MAE)来评估信号失真。使用CSE多引线测量库数据库进行仿真,在稀疏度水平为26.76%时,引线- v5信号的PRD值最低,为1.723%。
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引用次数: 5
On-line handwritten character recognition system for Kannada using Principal Component Analysis Approach: For handheld devices 基于主成分分析方法的联机卡纳达语手写字符识别系统
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409161
G. Keerthi Prasad, I. Khan, N. Chanukotimath, F. Khan
In this paper, we present an unrestricted Kannada online handwritten character recognizer which is viable for real time applications. It handles all basic characters of the Kannada script. In this paper, the proposed Online Handwritten Kannada Character Recognition System (OHKCRS) is discussed in detail. Developing an Online Handwriting Recognition System for Kannada character set to mobile devices would play an important role in making these devices available and usable for the Indian society as Kannada language is spoken in major part of India. In this paper, we present a model for writer-independent online handwriting character recognition for the 51 basic Kannada characters. The proposed system is implemented on mobile device using two different approaches namely Principal Component Analysis (PCA) and Dynamic Time Wrapping (DTW). To find the suitability of these two approaches for handheld devices several experiments were conducted and detailed analysis has been made on the obtained results. The results obtained for PCA approach is quite promising than DTW. On an average, recognition accuracy up to 88% is achieved for the PCA approach and up to 64% is achieved for DTW approach, also the time taken for recognition of unknown character is around 0.8 sec for PCA approach, and around 55 sec for DTW approach, thus the PCA approach is suitable for real-time applications.
在本文中,我们提出了一种不受限制的可用于实时应用的卡纳达语在线手写字符识别器。它处理所有卡纳达语的基本字符。本文对在线手写卡纳达语字符识别系统(OHKCRS)进行了详细的讨论。开发一个针对移动设备的卡纳达语字符集的在线手写识别系统将在使这些设备可用于印度社会方面发挥重要作用,因为印度大部分地区使用卡纳达语。本文针对51个卡纳达基本汉字,提出了一个独立于写作者的在线手写汉字识别模型。该系统采用主成分分析(PCA)和动态时间包裹(DTW)两种不同的方法在移动设备上实现。为了找出这两种方法在手持设备上的适用性,进行了多次实验,并对所得结果进行了详细的分析。PCA方法的结果比DTW方法更有前景。平均而言,PCA方法的识别准确率高达88%,DTW方法的识别准确率高达64%,并且PCA方法对未知字符的识别时间约为0.8秒,DTW方法的识别时间约为55秒,因此PCA方法适合于实时应用。
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引用次数: 10
Efficacy of 16-APSK modulation for Multiband Pulsed-OFDM UWB-communication systems 多频带脉冲ofdm uwb通信系统中16-APSK调制的有效性
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409066
C. Manimegalai, R. Kumar
Extended analysis of the performance of Amplitude Phase Shift Keying (APSK) modulation in the Pulsed-OFDM Ultra Wide Band (UWB) communication systems. APSK is recognized as spectrally efficient baseband modulation scheme. The objective of this paper is to elaborate on the 16-APSK performance in the Pulsed-OFDM UWB Communication systems and to provide the comparison with Multiband-OFDM Systems. The performance of APSK modulation for Wireless Personal Area Networks (WPAN) is analyzed for different UWB indoor propagation channels (CM1, CM2, CM3 and CM4) provided by the IEEE 802.15.3a Standard activity committee and its performance is compared with MB-OFDM.
脉冲ofdm超宽带(UWB)通信系统中幅度相移键控(APSK)调制性能的扩展分析。APSK是公认的频谱高效基带调制方案。本文的目的是阐述16-APSK在脉冲ofdm UWB通信系统中的性能,并与多频段ofdm系统进行比较。分析了IEEE 802.15.3a标准活动委员会提供的不同UWB室内传播信道(CM1、CM2、CM3和CM4)下无线个人区域网络(WPAN) APSK调制的性能,并与MB-OFDM进行了性能比较。
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引用次数: 3
A cryptographic approach to prevent a spoof attack for secure information retrieval in a biometrie system 一种在生物识别系统中用于安全信息检索的防止欺骗攻击的加密方法
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409097
R. Hosur, S. Hatture, R. Karchi
Biometric technologies' have become the basis for highly secure identification and personnel verification in authentication and identification systems, based on the physical identifiable details or behavioral characteristics which cannot be imposter easily. Hence, the system has been treated to be the tough security measures to identify the user being genuine by avoiding the third party attack. But these systems are unable to judge whether the user who is providing the required authentication details is an impostor or genuine. To eliminate this flaw in biometric based security systems, the model proposed in this paper can be embedded in existing security systems to prevent the spoof attack. The proposed model comprises of two independent models namely Cryptographic based authentication system (model 1) and Text prompted authentication system (model 2). Model 1 has been designed by the most efficient cryptographic algorithm RSA which generates a secret key by using a pseudo-random number given by user for secure system access. In model 2, the user is made interactive with the system by prompting a question from a set of 15 questions, and authenticating the user with the help of correct answer provided by user. To provide higher level of security, MD5 (Message Digest 5) algorithm is integrated with RSA. The developed models provide promising level of security along with a biometric trait.
生物识别技术已经成为身份认证系统中高度安全的身份识别和人员验证的基础,它基于物理识别细节或行为特征,不易被冒名顶替。因此,该系统已被视为通过避免第三方攻击来识别用户真伪的严格安全措施。但这些系统无法判断提供所需身份验证细节的用户是冒名顶替者还是真货。为了消除基于生物特征的安全系统中的这一缺陷,本文提出的模型可以嵌入到现有的安全系统中,以防止欺骗攻击。模型由两个独立的模型组成,即基于密码的认证系统(模型1)和文本提示认证系统(模型2)。模型1由最有效的密码算法RSA设计,该算法利用用户给出的伪随机数生成密钥,用于安全访问系统。在模型2中,用户通过从一组15个问题中提示一个问题与系统进行交互,并借助用户提供的正确答案对用户进行身份验证。为了提供更高的安全性,MD5 (Message Digest 5)算法与RSA集成在一起。开发的模型提供了有希望的安全级别以及生物特征。
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引用次数: 1
Performance of AODV, DSR and DSDV protocols under varying node movement 不同节点移动情况下AODV、DSR和DSDV协议的性能
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409049
V. Anand, S. Gupta
MANET Mobile ad-hoc networks - are fully distributed networks that comprise of mobile nodes resulting in dynamic topology. These networks follow multi-hop routing where in intermediate mobile nodes are used to pass on messages. In this paper, we report results of NS2 simulation of three important routing protocols: AODV, DSR and DSDV. We have analyzed performance using average throughput and average end to end delay when number of nodes, and also their mobility, is varied. For node movement, a popular model, random waypoint is considered while Constant Bit Rate (CBR) traffic pattern is assumed.
MANET移动自组织网络——由移动节点组成的完全分布式网络,形成动态拓扑结构。这些网络遵循多跳路由,其中中间移动节点用于传递消息。本文报告了AODV、DSR和DSDV三种重要路由协议的NS2仿真结果。当节点数量及其移动性变化时,我们使用平均吞吐量和平均端到端延迟来分析性能。节点移动是一种常用的移动模型,该模型在假设恒定比特率(CBR)流量模式的情况下,考虑随机路径点。
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引用次数: 11
Statistical analysis of surface roughness measurements using laser speckle images 利用激光散斑图像测量表面粗糙度的统计分析
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409106
T. Jeyapoovan, M. Murugan, B. C. Bovas
Stylus profilers are still used as a successful method for surface roughness measurement in spite of its stylus tip diameter that acts as a low pass filter on steep valley on rough surfaces. The setup and operation time for surface measurements using a stylus profiler is considerably high. Hence a reliable non-contact optical technique for surface measurements has good potential for surface measurements based on the availability of a powerful CCD camera and fast processing digital computers. When a rough surface is illuminated with a coherent laser source, a speckle image is formed due to the scattering of light rays on the rough surface. The speckle pattern thus obtained can be used for surface roughness measurements. The contrast of the speckle image is processed to evaluate the surface roughness using the surface image parameters. Statistical parameters such as mean, variance, standard deviation, skew and kurtosis were used to analyze surface roughness using the pixel intensity of the surface images. Milled and ground surface specimens were used, and the images obtained were processed using MATLAB software.
尽管它的笔尖直径在粗糙表面上的陡谷上起到低通滤波器的作用,但手写笔分析器仍然被用作表面粗糙度测量的成功方法。使用触控笔剖面仪进行表面测量的设置和操作时间相当高。因此,基于强大的CCD相机和快速处理的数字计算机的可用性,可靠的非接触式表面测量光学技术具有良好的表面测量潜力。当用相干激光照射粗糙表面时,由于光线在粗糙表面上的散射,形成散斑图像。由此获得的散斑图案可用于表面粗糙度测量。对散斑图像进行对比度处理,利用表面图像参数评价表面粗糙度。采用均值、方差、标准差、偏态、峰度等统计参数,利用表面图像的像素强度对表面粗糙度进行分析。采用铣削和磨削表面试样,利用MATLAB软件对得到的图像进行处理。
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引用次数: 10
Automatic grading of macular degeneration from color fundus images 黄斑变性彩色眼底图像的自动分级
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409131
J. Medhi, M. K. Nath, S. Dandapat
Diabetic retinopathy causes blindness due to the physiological changes in the retina of human eye, which occurs due to the progression of diabetes. Diabetic retinopathy images differ from normal fundus images by lesions such as: microaneurysm, hemorrhages, exudates, cotton wool spots and variations in blood vessels etc. Appearance of these features on the retina leads to vision loss. The sharp vision is affected severely when the features appear on the macula as it contains higher concentration of cones. In this paper macula and fovea (macula center) are detected based on the localization. The detection of these feature is essential for automatic grading of macular edema or degeneration. Depending on the number of lesions on the macula the severity of the macular degeneration can be predicted. The method is tested on DRIVE, Aria and DIARETDB1 databases. The method successfully detects the macula and fovea for all the images. The accuracy of the proposed method of macula detection is found to be 100% in normal images. The method is also applied on images with lesions. Here the overlapped region of the macula and lesions are detected to find the severity of macular degeneration.
糖尿病视网膜病变是由于糖尿病的进展引起人眼视网膜的生理变化而导致失明。糖尿病视网膜病变图像与正常眼底图像的不同之处在于:微动脉瘤、出血、渗出、棉絮斑和血管变异等病变。这些特征出现在视网膜上会导致视力丧失。当这些特征出现在黄斑上时,锐利的视力受到严重影响,因为黄斑含有高浓度的视锥细胞。本文采用基于定位的方法检测黄斑和黄斑中心。这些特征的检测对于黄斑水肿或变性的自动分级是必不可少的。根据黄斑病变的数量,可以预测黄斑变性的严重程度。该方法在DRIVE、Aria和DIARETDB1数据库上进行了测试。该方法成功地检测了所有图像的黄斑和中央凹。在正常图像中,该方法的检测准确率为100%。该方法也适用于有病变的图像。在这里,黄斑和病变的重叠区域被检测到黄斑变性的严重程度。
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引用次数: 22
NSBBO for gain-impedance optimization of Yagi-Uda antenna design 基于NSBBO的Yagi-Uda天线增益阻抗优化设计
Pub Date : 2012-10-01 DOI: 10.1109/WICT.2012.6409195
S. Singh, E. Mittal, G. Sachdeva
Biogeography-Based Optimization (BBO) is one of the recently developed population based algorithms which has shown impressive performance over other Evolutionary Algorithms (EAs). BBO is based on the study of geographical distribution of biological organisms over space and time. Yagi-Uda antenna design is most widely used antenna at VHF and UHF frequencies due to high gain, directivity and ease of construction. However, designing a Yagi-Uda antenna that involves determination of wire-lengths and spacings is highly complex and non-linear problem. If gain is intended to increase then imaginary part in impedance becomes significant. In this paper Non-dominated Sorting BBO (NSBBO) is proposed and investigated for Multi-objective optimization of six-element Yagi-Uda antenna designs to optimize two objectives, viz., gain and impedance, simultaneously. The best results and BBO flow are presented in the ending sections of the paper.
基于生物地理的优化算法(BBO)是近年来发展起来的一种基于种群的优化算法,与其他进化算法相比表现出了令人印象深刻的性能。BBO是基于对生物有机体在空间和时间上的地理分布的研究。Yagi-Uda天线具有高增益、指向性和易于构造等优点,是VHF和UHF频段应用最广泛的天线设计。然而,设计Yagi-Uda天线涉及到确定导线长度和间距是一个高度复杂和非线性的问题。如果要增加增益,那么阻抗的虚部就变得很重要。针对六元Yagi-Uda天线设计的多目标优化问题,提出并研究了非支配排序BBO (NSBBO)算法,以同时优化增益和阻抗两个目标。本文的最后部分给出了最佳结果和BBO流程。
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引用次数: 10
期刊
2012 World Congress on Information and Communication Technologies
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