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2013 11th International Conference on Frontiers of Information Technology最新文献

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An Efficient Power Divider for Dual-Band Microwave Applications 一种用于双频微波应用的高效功率分配器
Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.15
F. Mughal, M. M. Ahmed, U. Rafique
In this article, a modified Cheng dual-band power divider is proposed. In modified design, output ports of the divider have been redesigned by incorporating extended lines having electrical length (π/2)(f1/f2) where, f1 and f2 are center frequencies. The impedance of extended lines is calculated from an average value of bi-section impedance transformers used in the Cheng design. Dependent upon the frequencies, the modified design offered 5-20 dB improvement in return loss and thus exhibited enhanced transmission.
本文提出了一种改进的Cheng双频功率分配器。在修改后的设计中,分压器的输出端口被重新设计,通过合并具有电气长度(π/2)(f1/f2)的延伸线,其中,f1和f2是中心频率。延长线的阻抗由Cheng设计中使用的双截面阻抗变压器的平均值计算。根据频率的不同,改进后的设计提供了5-20 dB的回波损耗改善,从而表现出增强的传输。
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引用次数: 0
SSTCSC: A Semantic Structure of Test Cases and Source Code SSTCSC:测试用例和源代码的语义结构
Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.51
Muhammad Bilal Bashir, T. Malik, T. Afzal
If the World Wide Web is taken as a mountain of information containing data regarding every aspect of life, then Semantic Web is its extended version, that structures the information and makes it machine process able. Semantic Web has many advantages which have proved it as an innovative approach to structure the data for multipurpose domains. Its characteristics of annotation enable the extraction of precise information which is required by the user. Software testing is the process which evaluates a systems behavior to ensure whether it meets user's requirement or not. In software engineering, specifically in the software testing domain, semantic structuring the relevant artifacts is new. Researchers provided XML based representations for many languages and approaches but their context is different when we try to apply it on the software testing domain. In this paper, we focus on the shortcomings of the software testing domain when its concerned activities are required to represent semantically. We present a novel approach, Semantic Structure of Test Cases and Source Code (SSTCSC) which relates the RDF based test cases satisfying white box testing coverage criterion statement coverage, with the RDF based target java class(s). After the execution of semantically presented information (test cases against program) is then passes through two phases further i.e. Code Categorization and Code Visualization which shows the final output of the classified code segments visually. Whole process of the presented approach is supported by the tool which performs the related steps with ease automatically.
如果把万维网看作是包含生活方方面面数据的信息的大山,那么语义网就是它的扩展版本,它构建了信息并使其能够被机器处理。语义网具有许多优点,是构建多用途领域数据的一种创新方法。它的标注特性使其能够提取用户所需的精确信息。软件测试是评估系统行为以确保其是否满足用户需求的过程。在软件工程中,特别是在软件测试领域,对相关工件进行语义结构化是一种新的方法。研究人员为许多语言和方法提供了基于XML的表示,但是当我们试图将其应用于软件测试领域时,它们的上下文是不同的。在本文中,我们着重讨论了软件测试领域在需要对其相关活动进行语义表示时所存在的不足。我们提出了一种新的方法,测试用例和源代码的语义结构(SSTCSC),它将满足白盒测试覆盖标准语句覆盖的基于RDF的测试用例与基于RDF的目标java类联系起来。在执行语义上呈现的信息(针对程序的测试用例)之后,将进一步通过两个阶段,即代码分类和代码可视化,这两个阶段以视觉方式显示分类代码段的最终输出。该工具支持该方法的整个过程,可以轻松地自动执行相关步骤。
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引用次数: 0
Detecting Edges in an Image with the Help of Fuzzy Parameters 利用模糊参数检测图像边缘
Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.11
Isra Javaid Alam, M. Kadri
In this research paper a novel image processing technique based on fuzzy logic has been proposed to detect edges in an image. The algorithm formulated for this purpose utilizes the concept of Attanassov's intuitionistic theory of fuzzy sets, which takes into account a hesitation degree. From this parameter, a new distance measure has been derived, which is termed as the intuitionistic fuzzy divergence or IFD, and is used for calculating the edges. The results obtained are better when compared to other edge detection techniques.
本文提出了一种基于模糊逻辑的图像处理方法来检测图像中的边缘。为此目的制定的算法利用了Attanassov的模糊集直觉理论的概念,该理论考虑了犹豫度。根据该参数,导出了一种新的距离度量,称为直觉模糊散度(IFD),并用于计算边缘。与其他边缘检测技术相比,得到的结果更好。
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引用次数: 1
GSAN: Green Cloud-Simulation for Storage Area Networks GSAN:存储区域网络的绿色云模拟
Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.55
Mohsin Ikram, Qurrat-ul-Ain Babar, Z. Anwar, A. Malik
The drive towards utilizing green and renewable energy to power large IT data centers is rapidly gaining momentum. Considerable research has gone into developing simulation models to comprehensively study the energy dynamics of different types of data center equipment in order to better understand how best to conserve it. Most of this research has gone towards modeling of servers and switches but relatively less amount of work is available on Storage Area Networks (SAN). Storage Area Networks play a very vital role in the data center architecture by using specialized storage hardware to manage data. In this paper, we have extended the Green Cloud simulator for computing the energy consumed by different SAN components. A simulation environment for SAN has been presented using the 'Dynamic Voltage and Frequency Scaling' (DVFS) and 'Dynamic Shutdown' (DNS) techniques. The simulation results obtained through two SAN prototype models shows the energy consumption of SAN components to vary with the network topology and type of technique used in scheduling of the workloads. Our experimental simulations revealed that there is an increasing percentage of energy savings in DNS mode for both topologies for an increasing number of servers. Results demonstrated up to 35.6% energy savings.
利用绿色和可再生能源为大型IT数据中心供电的趋势正在迅速发展。为了更好地了解如何最好地节约能源,人们已经在开发模拟模型方面进行了大量的研究,以全面研究不同类型数据中心设备的能源动态。这方面的大部分研究都是针对服务器和交换机的建模,但在存储区域网络(SAN)上可用的工作相对较少。存储区域网络通过使用专门的存储硬件来管理数据,在数据中心体系结构中起着非常重要的作用。在本文中,我们扩展了绿云模拟器来计算不同SAN组件所消耗的能量。利用“动态电压和频率缩放”(DVFS)和“动态关机”(DNS)技术,提出了SAN的仿真环境。通过两个SAN原型模型获得的仿真结果表明,SAN组件的能耗随网络拓扑结构和工作负载调度所使用的技术类型的不同而变化。我们的实验模拟显示,对于越来越多的服务器,对于两种拓扑,在DNS模式下节省的能源百分比都在增加。结果表明,节能高达35.6%。
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引用次数: 3
Software Engineering Challenges for Ubiquitous Computing in Various Applications 泛在计算在各种应用中的软件工程挑战
Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.22
M. Ashraf, Naveed Khan
Ubiquitous Computing is a paradigm containing the characteristics to break away from the traditional desktop computing system and turn to such computer systems where everything is available & accessible everywhere through various devices while keeping them effectively invisible. The accomplishment of this vision requires a deep involvement of multiple areas including software engineering. Software engineering plays a major role in ubi-comp world, but the lack of appropriate software engineering approaches is identified as a major obstacle on the route to propose a general level framework that should be adopted for all kinds of ubi-comp applications. The very initial step which is still required for this vision is to identify all potential software engineering challenges in the ubi-comp era. In this paper we have made a survey of various ubi-comp applications and extracted a number of software engineering challenges faced by other researchers during the development of such applications. This work provides a future direction for other researchers and developers to make the process of providing an appropriate framework for building ubi-comp application more effectively.
普适计算(Ubiquitous Computing)是一种范式,其特征是脱离传统的桌面计算系统,转向这样一种计算机系统,在这种计算机系统中,一切都可以通过各种设备在任何地方获得和访问,同时又保持它们有效地不可见。这一愿景的实现需要包括软件工程在内的多个领域的深入参与。软件工程在ubi-comp世界中扮演着重要的角色,但是缺乏适当的软件工程方法被认为是提出一个应该被所有类型的ubi-comp应用程序采用的通用级别框架的主要障碍。实现这一愿景的第一步仍然是确定ubi-comp时代所有潜在的软件工程挑战。在本文中,我们对各种ubi-comp应用进行了调查,并提取了其他研究人员在开发此类应用过程中面临的一些软件工程挑战。这项工作为其他研究人员和开发人员提供了一个未来的方向,以提供一个更有效地构建ubi-comp应用程序的适当框架。
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引用次数: 4
Online Adaptive Full Car Active Suspension Control Using B-Spline Fuzzy-Neural Network 基于b样条模糊神经网络的整车主动悬架在线自适应控制
Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.45
S. Qamar, L. Khan, Z. Qamar
In this paper, the Adaptive B-spline Fuzzy Neural Network (ABFNN) based an active suspension system for full car is presented. The passive suspension system cannot reduce the vibrations which are transmitted from the road disturbances to the frame which affect the ride comfort and vehicle stability. The magnitude of these vibrations can be reduced by using ABFNN based an active suspension system. The ABFNN has ability to approximate the nonlinearity of the vehicle. By using B-spline membership function in the fuzzy neural network the approximation ability of the network is increased. The shape of B-spline membership function is adjusted self adaptively by changing control points during learning process. B-spline membership functions give a structure for choosing the shape of the fuzzy sets. The update parameters of ABFNN are trained by gradient-based technique that may fall into local minima during the learning process. The ABFNN is successfully applied to full car suspension model which reduces the seat, heave pitch and roll displacement of the vehicle. Simulation is based on the full car mathematical model by using MATLAB/SIMULINK. The simulation results show that the ABFNN control technique gives better results than passive and semi-active suspension systems.
提出了一种基于自适应b样条模糊神经网络(ABFNN)的整车主动悬架系统。被动悬架系统不能减小路面扰动传递给车架的振动,从而影响车辆的平顺性和稳定性。这些振动的大小可以通过使用基于ABFNN的主动悬架系统来减小。ABFNN具有近似车辆非线性的能力。在模糊神经网络中引入b样条隶属函数,提高了网络的逼近能力。在学习过程中,通过改变控制点自适应地调整b样条隶属函数的形状。b样条隶属函数给出了模糊集形状选择的结构。ABFNN的更新参数采用基于梯度的方法进行训练,在学习过程中可能会陷入局部极小值。将ABFNN成功地应用于整车悬架模型,降低了整车的座椅、纵摇和侧倾位移。仿真是基于整车数学模型,利用MATLAB/SIMULINK进行的。仿真结果表明,ABFNN控制技术比被动和半主动悬架系统具有更好的控制效果。
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引用次数: 7
Towards Improving Vehicular Communication in Modern Vehicular Environment 浅谈现代车载环境下车载通信的改进
Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.40
M. A. Qureshi, R. M. Noor
Vehicular Ad Hoc Networks (VANETs) is a challenging field of wireless technology that offers a wide variety of useful applications. These applications span from safety related applications to infotainment services. IEEE 802.11p standard that operates in 5.9 GHz frequency band is widely adopted in VANETs for physical and MAC layers. The radio signals in 5.9 GHz band are less penetrating as compared to Wi-Fi that operates in 2.4 GHz band. Obstacles that impede radio signals have high impact on vehicular communication. Thus, maintaining line-of-sight among communicating vehicles improves vehicular communication. Modern day vehicular environment contains road infrastructure units such as curve roads, flyovers, underpasses, tunnels and irregular roads. The modern road infrastructure units introduce non line-of-sight conditions which result in either costly or no communication. This paper introduces a mechanism to maintain line-of-sight among communicating vehicles while considering modern road infrastructure units. The geometrical concepts are used here to model and formulate the line-of-sight (LOS) conditions in various real world scenarios. We have calculated the relative optimal position of signal repeaters / reflectors for maintaining line-of-sight condition in different road infrastructure units.
车载自组织网络(VANETs)是一个具有挑战性的无线技术领域,提供了各种各样的有用应用。这些应用从安全相关的应用到信息娱乐服务。IEEE 802.11p标准工作在5.9 GHz频段,被广泛应用于vanet物理层和MAC层。与2.4 GHz频段的Wi-Fi相比,5.9 GHz频段的无线电信号穿透性较差。阻碍无线电信号的障碍物对车辆通信有很大影响。因此,保持通信车辆之间的视线可以改善车辆通信。现代车辆环境包括弯道、立交桥、地下通道、隧道和不规则道路等道路基础设施单元。现代道路基础设施单元引入了非视线条件,导致昂贵或没有通信。本文介绍了一种在考虑现代道路基础设施单元的情况下保持通信车辆之间视线的机制。这里使用几何概念来建模和制定各种现实世界场景中的视线(LOS)条件。我们计算了不同道路基础设施单元中信号中继器/反射器的相对最佳位置,以保持视线状况。
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引用次数: 16
Analytical Model for Delay Distribution of PRMAC PRMAC延迟分布的解析模型
S. Siddiqui, S. Ghani
Delay is one of the most important parameters of interest while providing QOS guarantees for Wireless Sensor Networks (WSN). Various MAC layer protocols for WSN have been proposed for efficient management of delay. Analyzing single hop and end to end delay using queuing analysis can provide significant help in modeling various real time WSN applications. This paper parameterizes the cross-layer analysis framework for investigating the single hop delay distribution of a cross layer WSN MAC protocol PRMAC. The analysis demonstrates how the methodology can be applied to a cross layer protocol embedding key details of the protocol such as impact of control packets (PION) modeling. An example of the analysis is illustrated using a single hop delay for a node with a small buffer.
延迟是无线传感器网络(WSN)提供QOS保证的重要参数之一。为了有效地管理无线传感器网络的延迟,人们提出了各种无线传感器网络的MAC层协议。利用排队分析方法分析单跳和端到端延迟可以为各种实时WSN应用的建模提供重要帮助。为了研究跨层WSN MAC协议PRMAC的单跳时延分布,本文将跨层分析框架参数化。分析演示了该方法如何应用于嵌入协议关键细节的跨层协议,例如控制数据包的影响(PION)建模。分析的一个例子是使用具有小缓冲区的节点的单跳延迟。
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引用次数: 3
A Critical Study of Selected Classification Algorithms for Dengue Fever and Dengue Hemorrhagic Fever 登革热和登革出血热分类算法的关键性研究
Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.33
Wajeeha Farooqi, Sadaf Ali
Dengue fever is viral infection caused by dengue virus which is transmitted in human body by bite of female Eddie mosquito. There are 50 million people suffer from it globally every year. Pakistan has been victim of this rapidly growing disease from last few years. The world health organization identified two main types of dengue fever. This paper appraises the selected classification algorithms for the classification of dengue fever (DF) and dengue haemraghic fever (DHF) datasets. Naïve Bayes classifier, Decision Tree, K-nearest neighbor algorithm, multilayered perception algorithm and Support vector machines are considered here for classification of dengue fever. These algorithms are measured based on five criteria: Accuracy, Precision, Sensitivity, Specificity and false negative rate.
登革热是一种由登革热病毒引起的病毒性感染,通过雌埃迪蚊叮咬在人体内传播。全球每年有5000万人患有此病。过去几年来,巴基斯坦一直是这一迅速蔓延的疾病的受害者。世界卫生组织确定了登革热的两种主要类型。本文评价了登革热(DF)和登革出血热(DHF)数据集分类的选定分类算法。Naïve本文考虑了贝叶斯分类器、决策树、k近邻算法、多层感知算法和支持向量机对登革热进行分类。这些算法是根据五个标准来衡量的:准确性、精密度、灵敏度、特异性和假阴性率。
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引用次数: 13
Energy-Aware Grid Scheduling of Independent Tasks and Highly Distributed Data 独立任务和高度分布式数据的能量感知网格调度
Pub Date : 2013-12-16 DOI: 10.1109/FIT.2013.46
J. Kolodziej, M. Szmajduch, Tahir Maqsood, S. Madani, N. Min-Allah, S. Khan
Data-aware scheduling in today's large-scale computing systems has become a major complex research issue. This problem becomes even more challenging when data is stored and accessed from many highly distributed servers and energy-efficiency is treated as a main scheduling objective. In this paper we approach the independent batch scheduling in grid environment as a bi-objective minimization problem with make span and energy consumption as the scheduling criteria. We used the Dynamic Voltage and Frequency Scaling (DVFS) model for reducing the cumulative power energy utilized by the system resources for tasks executions. We developed for data transmission a general logical network topology and policy based on the sleep link-based Adaptive Link Rate (ALR) on/off technique. Two developed energy-aware grid schedulers are based on genetic algorithms (GAs) frameworks with elitist and struggle replacement mechanisms and were empirically evaluated for four grid size scenarios in static and dynamic modes. The simulation results show that the proposed schedulers perform to a level that is sufficient to maintain the desired quality levels.
在当今大规模计算系统中,数据感知调度已经成为一个重要的复杂研究问题。当数据存储和访问来自许多高度分布式的服务器,并且能效被视为主要调度目标时,这个问题变得更加具有挑战性。本文将网格环境下的独立批调度问题视为一个以生产跨度和能耗为调度准则的双目标最小化问题。我们使用动态电压和频率缩放(DVFS)模型来减少系统资源在执行任务时使用的累积功率能量。我们开发了一种基于睡眠链路的自适应链路速率(ALR)开/关技术的数据传输通用逻辑网络拓扑和策略。基于遗传算法框架的两种能量感知网格调度程序具有精英替换和斗争替换机制,并在静态和动态模式下对四种网格大小场景进行了经验评估。仿真结果表明,所提出的调度器的性能足以维持期望的质量水平。
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引用次数: 6
期刊
2013 11th International Conference on Frontiers of Information Technology
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