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2011 7th International Conference on Emerging Technologies最新文献

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Weaving Twitter stream into Linked Data a proof of concept framework 将Twitter流编织到关联数据中是一个概念验证框架
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048497
Farhan Sahito, A. Latif, W. Slany
Twitter is one of the most popular and well known micro blogging platforms. Its usage in all walks of life as a short message service makes it a highly valuable and trendy asset of today's web. But the knowledge and content delivered by Twitter explicitly or implicitly as short messages remains mostly unstructured and hidden for machine usage. In this paper, we have addressed the aforementioned problems by using the Semantic Web and Linked Data technologies. We explore an integrated approach by building a proof of concept framework, which uses Semantic Web technologies to triplify and link the unstructured content of tweets with Linked Data clouds as structured data. We are of the view that this proof of concept framework will be helpful in investigation of case studies like opinion mining, trend analysis in various settings and more importantly will bring the Social Web closer to the Semantic Web. In future we will extend our proposed framework in the domain of terrorism informatics.
Twitter是最受欢迎、最知名的微博平台之一。作为一种短消息服务,它在各行各业的使用使其成为当今网络中非常有价值和时尚的资产。但Twitter以短消息的形式或明或暗地传递的知识和内容,大部分仍然是非结构化的,并为机器使用隐藏起来。在本文中,我们通过使用语义网和关联数据技术解决了上述问题。我们通过构建概念验证框架探索了一种集成方法,该框架使用语义Web技术将tweet的非结构化内容与关联数据云作为结构化数据进行三倍和链接。我们认为,这个概念验证框架将有助于调查案例研究,如意见挖掘、各种情况下的趋势分析,更重要的是,它将使社交网更接近语义网。在未来,我们将在恐怖主义信息学领域扩展我们提出的框架。
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引用次数: 18
Image texture classification using textons 使用纹理的图像纹理分类
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048474
Yousra Javed, M. Khan
In this paper, we explore the use of textons for image texture classification in the context of population density estimation. For this purpose, we have taken high resolution Google Earth images and classified them into four classes i.e. high population density, medium population density, low population density and unpopulated (land/vegetation) areas. A texton dictionary is first built by clustering the responses obtained after convolving the images with a set of filters i.e. “Filter banks”. Using this dictionary, texton histograms are calculated for each class's texture. These histograms are used as training models. Classification of a test image proceeds by mapping this image to a texton histogram and comparing this histogram to the learnt models. To obtain a quantitative assessment of the efficiency of the proposed method, we compare the results of the proposed method with those obtained through supervised classification based on texture extracted by Gray Level Co-occurrence Matrix (GLCM). The results demonstrate that texton based classification achieves better results.
在本文中,我们探索了在人口密度估计的背景下使用文本进行图像纹理分类。为此,我们拍摄了高分辨率的Google Earth图像,并将其分为四类,即高人口密度,中等人口密度,低人口密度和无人居住(土地/植被)区域。首先通过将图像与一组过滤器(即“过滤器组”)进行卷积后获得的响应聚类来构建文本字典。使用这个字典,为每个类的纹理计算纹理直方图。这些直方图被用作训练模型。测试图像的分类通过将该图像映射到文本直方图并将该直方图与学习到的模型进行比较来进行。为了定量评价所提方法的有效性,我们将所提方法的结果与基于灰度共生矩阵(GLCM)提取纹理的监督分类结果进行了比较。结果表明,基于文本的分类方法取得了较好的分类效果。
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引用次数: 3
Switched mode transmitter architecture using low pass delta sigma modulator 开关模式发射机结构采用低通δ σ调制器
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048491
S. Rehman, M. A. Khalid
Several design challenges of a low pass continuous time delta sigma modulator (LP DSM), to be used in switched mode transmitter architecture, have been identified. MATLAB simulations and modulation schemes for LP DSM have been presented. Various analog issues, mainly concerned with loop filter design, are discussed. Finally a highly efficient switched mode transmitter architecture using delta-sigma modulation and class-D amplifier is implemented. The transmitter architecture is operated at 200MHz.
在切换模式发射机结构中使用的低通连续时间δ σ调制器(LP DSM)的几个设计挑战已经确定。给出了低电压DSM的MATLAB仿真和调制方案。讨论了各种模拟问题,主要涉及环路滤波器的设计。最后实现了一种采用δ - σ调制和d类放大器的高效开关模式发射机结构。发射机架构工作在200MHz。
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引用次数: 1
Coherence enhancement diffusion using Multi-Scale DFB 多尺度DFB相干增强扩散
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048456
M. A. Khan, T. Khan, S. Khan
Diffusion filtering techniques are mostly used to enhance the ridge structure of a noisy fingerprint image. In these filtering techniques the measurement of local orientation is needed. The diffusion tensor used in these techniques reflects the local image structure, as in a structure tensor same set of eigenvectors are used. To control the diffusion along the direction of high coherence special Eigenvalues are chosen. It works well in enhancing the ridges but, it takes orientation angles implicitly by using local image structure (derivatives). As we know that the derivatives have undesirable property of enhancing noise which makes the process of finding the correct orientation more difficult. This gives a further motivation for the improved orientation field calculated by some more reliable mean, which can overcome such difficulties. Therefore, in this work a Multi-Scale DDFB is used which adaptively change the local neighborhood size with the image local contrast and feature width. Experimental results show that the proposed algorithm is noise robust and is more suitable for feature localization as compare to other coherence enhancement diffusion algorithms.
扩散滤波技术主要用于增强带噪指纹图像的脊结构。在这些滤波技术中,需要对局部定向进行测量。在这些技术中使用的扩散张量反映了局部图像结构,因为在结构张量中使用了相同的特征向量集。为了控制沿高相干方向的扩散,选择了特殊的特征值。它可以很好地增强脊线,但它通过使用局部图像结构(导数)隐式地获取方向角。我们知道,导数具有增强噪声的不良特性,这使得找到正确方向的过程更加困难。这进一步推动了用更可靠的均值计算定向场的改进,从而克服了这些困难。为此,本文采用多尺度DDFB算法,根据图像的局部对比度和特征宽度自适应改变局部邻域大小。实验结果表明,与其他相干增强扩散算法相比,该算法具有较强的噪声鲁棒性,更适合于特征定位。
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引用次数: 5
A virtual telehealth framework: Applications and technical considerations 虚拟远程保健框架:应用和技术考虑
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048445
Shazia Kareem, Imran Sarwar Bajwa
Since last two decades, telehealth has been emerged into an expansion of telemedicine. A telehealth system provides the curative care and preventive care. In telehealth, patient's data is sent by email to a physician or a medical expert for diagnosis and medical prescription. Telehealth system can be used as real time method or store forward method. However, in perspective of developing countries like Pakistan, real-time telehealth is not feasible due to its high cost. Whereas, the store and forward method based telehealth can be a cost-effect solution. It has been identified that a major problem with store-and-forward method is long time-factor that can be longer to 48 hours in certain cases. The situation may become more verse if patient is in serious condition and requires immediate medication. To address this issue a concept of virtual telehealth is proposed in this paper. We have incorporated a clinical decision support system to reply the patients' query locally. The presented solution can make telehealth more financially feasible, technically implemental in developing countries like Pakistan.
近二十年来,远程医疗已成为远程医疗的一个扩展。远程保健系统提供治疗保健和预防保健。在远程保健中,病人的数据通过电子邮件发送给医生或医学专家,以便进行诊断和开具处方。远程医疗系统可以采用实时方式,也可以采用存储转发方式。然而,从巴基斯坦等发展中国家的角度来看,实时远程医疗由于成本高而不可行。然而,基于存储转发方法的远程医疗可以是一种具有成本效益的解决方案。已经确定,存储转发方法的一个主要问题是时间因素长,在某些情况下可能更长至48小时。如果患者病情严重,需要立即用药,情况可能会变得更加严重。为了解决这一问题,本文提出了虚拟远程医疗的概念。我们整合了临床决策支持系统,在本地回复患者的查询。所提出的解决方案可以使远程医疗在巴基斯坦等发展中国家在财政上更加可行,在技术上更加可行。
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引用次数: 15
A low-profile CPW-fed broadband antenna for WLAN and RFID applications 用于WLAN和RFID应用的低姿态cpw馈电宽带天线
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048444
S. A. Khan, M. S. Khan, M. F. Shafique, I. Shoaib
This paper presents a novel compact broadband circularly polarized slot antenna fed by a co-planar waveguide (CPW), suitable for use in WLAN and RFID applications. The antenna is only 20 × 24 mm in size. Measured impedance bandwidth (VSWR < 2) at center frequency of 5.8 GHz is 24% and the 3 dB axial-ratio (AR) bandwidth is 3.1%. The antenna has an omnidirectional radiation pattern with a maximum gain of −0.5 dB.
本文提出了一种新型的紧凑宽带圆极化槽天线,采用共面波导馈电,适用于无线局域网和RFID应用。天线的尺寸只有20 × 24毫米。在中心频率为5.8 GHz时,测量阻抗带宽(VSWR < 2)为24%,3db轴比(AR)带宽为3.1%。天线具有全向辐射方向图,最大增益为- 0.5 dB。
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引用次数: 0
DSpace@SEECS: SEECS institutional repository system DSpace@SEECS: SEECS机构存储系统
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048464
Sharifullah Khan, Amjad Usman, Rabia Irfan, Amir Hayat
Institutions increasingly recognize the need to develop digital repositories for organizing and managing their intellectual output to enhance scholarly communication. An institutional repository (IR) enhances opportunities for efficient use of existing research material and improved learning experiences, and encourages collaboration within and between different disciplines and groups. Installing IR software is not a major issue, but the challenge lies in tailoring the software and setting up services, policies, and procedures to make it work effectively in an institutional environment. The purpose of this paper is to document SEECS IR system's experience in developing the institutional repository. The contribution of this paper is to provide a case study which will be useful for other academic institutions in developing countries who want to develop their own institutional repositories.
机构越来越认识到需要开发数字存储库来组织和管理他们的智力产出,以加强学术交流。机构知识库(IR)增加了有效利用现有研究材料和改进学习经验的机会,并鼓励不同学科和团体内部和之间的合作。安装IR软件不是主要问题,但挑战在于定制软件并设置服务、政策和程序,以使其在机构环境中有效地工作。本文的目的是记录SEECS IR系统在开发机构知识库方面的经验。本文的贡献是提供了一个案例研究,这将对发展中国家想要开发自己的机构知识库的其他学术机构有用。
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引用次数: 4
Exploiting affinity propagation for automatic acquisition of domain concept in ontology learning 利用亲和传播实现本体学习中领域概念的自动获取
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048471
Iqbal Qasim, Jin-Woo Jeong, Sharifullah Khan, Dong-Ho Lee
Semantic Web uses domain ontology to bridge the gap among the members of a domain through minimization of conceptual and terminological incompatibilities. However, several barriers must be overcome before domain ontology becomes a practical and useful tool. One important issue is identification and selection of domain concepts for domain ontology learning when several hundreds or even thousands of terms are extracted and available from relevant text documents shared among the members of a domain. We present a novel domain concept acquisition and selection approach for ontology learning that uses affinity propagation algorithm, which takes as input semantic and structural similarity between pairs of extracted terms called data points. Real-valued messages are passed between data points (terms) until high quality set of exemplars (concepts) and cluster iteratively emerges. All exemplars will be considered as domain concepts for learning domain ontologies. Our empirical results show that our approach achieves high precision and recall in selection of domain concepts using less number of iterations.
语义Web使用领域本体,通过最小化概念和术语的不兼容性来弥合领域成员之间的差距。然而,在领域本体成为一种实用而有用的工具之前,还必须克服一些障碍。当从领域成员共享的相关文本文档中提取出数百甚至数千个术语时,一个重要的问题是识别和选择领域本体学习的领域概念。我们提出了一种新的领域概念获取和选择方法,该方法使用亲和传播算法,将抽取的术语对(称为数据点)之间的语义和结构相似性作为输入。实值消息在数据点(术语)之间传递,直到高质量的范例(概念)和聚类迭代出现。所有示例都将被视为学习领域本体的领域概念。实验结果表明,该方法使用较少的迭代次数,在领域概念的选择上达到了较高的精度和召回率。
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引用次数: 2
DWDM based system for optical generation and transmission of impulse radio UWB signals 基于DWDM的脉冲无线电UWB信号的光产生和传输系统
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048465
Affan Hasan Khan, O. Khalid, A. Mumtaz, M. K. Islam
This paper presents a simple technique for generation of Impulse Radio Ultra-wideband pulses in optical domain. This system can transmit the data in Giga-bits-per-second range for 32 users across a 1 km optical fiber link using Dense Wavelength Division Multiplexing (DWDM). A multiple access technique using Direct Sequence Ultra-wideband (DS UWB) pulses has also been presented. Moreover, we have analyzed the relationship between the input data rate and signal bandwidth and also studied the effect of pulse width on the bandwidth of a signal.
提出了一种在光域产生脉冲无线电超宽带脉冲的简单技术。该系统可以使用密集波分复用(DWDM)在1公里的光纤链路上为32个用户传输每秒千兆比特的数据。提出了一种利用直接序列超宽带(DS UWB)脉冲的多址接入技术。此外,我们还分析了输入数据率与信号带宽的关系,并研究了脉冲宽度对信号带宽的影响。
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引用次数: 2
An efficient authentication and key establishment scheme for heterogeneous sensor networks 一种高效的异构传感器网络认证和密钥建立方案
Pub Date : 2011-10-20 DOI: 10.1109/ICET.2011.6048451
Sarmad Ullah Khan, Rafiullah Khan
Wireless Sensor Networks (WSNs) consists of a large number of small and resource constrained devices. Due to their low cost, flexibility and self-organizing nature, these devices are used in various applications such as home and industrial automation, environmental and habitat monitoring and even in more security sensitive military applications in which security of the information in terms of both snooping and tampering is very important. Such applications introduce various security challenges to these resource constrained devices. To cope with these challenges, a proper authentication and key establishment is required. In this paper, we present an effective authentication and key establishment scheme for the heterogeneous sensor networks. The proposed solution is tested using the OMNET++ simulator and results show that it provides better network connectivity, consume less memory and has better network resilience against attacks.
无线传感器网络(WSNs)由大量小型且资源受限的设备组成。由于其低成本,灵活性和自组织性质,这些设备被用于各种应用,如家庭和工业自动化,环境和栖息地监测,甚至在更安全敏感的军事应用中,信息的安全性在窥探和篡改方面非常重要。这些应用程序给这些资源受限的设备带来了各种安全挑战。为了应对这些挑战,需要适当的身份验证和密钥建立。本文提出了一种有效的异构传感器网络认证和密钥建立方案。利用omnet++模拟器对该方案进行了测试,结果表明该方案提供了更好的网络连通性,消耗更少的内存,具有更好的网络抵御攻击的弹性。
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引用次数: 0
期刊
2011 7th International Conference on Emerging Technologies
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