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2013 7th IEEE GCC Conference and Exhibition (GCC)最新文献

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An effcient approximation of Q(√x) function and general BER performance analysis Q(√x)函数的有效近似和一般误码率性能分析
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705806
R. Alkurd, I. Abualhaol, S. Muhaidat
In this paper, a novel approximation for the Gaussian Q-function in the form of Q(√x) is presented. The proposed approximation is compared with other known closed-form approximations of the Q-function in terms of accuracy and applicability. This approximation can be effciently used to simplify intractable problems which do not have explicit solutions. The approximation of the generalized probability density function (PDF) using Gaussian fnite mixture components is utilized with the proposed approximation to derive a generalized closed-form expression for the Bit Error Rate (BER) for coherent modulation techniques. The derived expression is evaluated over Nakagami-m and Weibull fading channels. Monte Carlo simulation of the average BER expression is provided over Nakagami-m and Weibull fading channels in order to validate the derived expression. The derived average SER expression can be used by engineers to evaluate the BER performance for any coherent modulation technique and over any fading channel given that the fading channel statistics are modeled using Gaussian fnite mixture.
本文给出了高斯Q函数的一种新的近似形式Q(√x)。在精度和适用性方面,将所提出的近似与其他已知的q函数的闭形式近似进行了比较。这种近似可以有效地用于简化没有显式解的棘手问题。利用高斯有限混合分量的广义概率密度函数(PDF)近似,推导出相干调制技术误码率(BER)的广义封闭表达式。推导出的表达式在Nakagami-m和Weibull衰落信道上进行了计算。为了验证导出的表达式,在Nakagami-m和Weibull衰落信道上提供了平均误码率表达式的蒙特卡罗模拟。假设衰落信道统计量采用高斯有限混合模型,则推导出的平均SER表达式可用于评估任何相干调制技术和任何衰落信道上的误码率性能。
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引用次数: 5
A wavelength broker for markets of competing optical transport networks 竞争光传输网络市场的波长代理
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705805
A. Yassine
The current trend in optical networks is to open the entire wholesale market to competition. As a result, we will see, instead of a single big market player, optical transport networks competing with each other to attract customer demand. This paper presents a wavelength broker who acts on behalf of enterprises, web host companies, financial firm etc. to buy certain number of wavelengths from such market. We present the system model, the interaction protocol and provide analysis of the competition. The simulation results of a business scenario are also recorded in the paper.
光网络目前的趋势是开放整个批发市场进行竞争。因此,我们将看到,光传输网络彼此竞争以吸引客户需求,而不是单一的大市场参与者。本文提出了一个波长经纪人,代表企业、网络主机公司、金融公司等从该市场购买一定数量的波长。提出了系统模型、交互协议,并进行了竞争分析。本文还记录了一个业务场景的仿真结果。
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引用次数: 0
Computer based sleep staging: Challenges for the future 基于计算机的睡眠分期:未来的挑战
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705790
Sana Tmar-Ben Hamida, B. Ahmed
Studies have shown that patients suffering from sleep deprivation have a risk for hypertension, diabetes and depression that is higher than normal sleepers. Treatment for all these problems requires accurate analysis of the sleep stages and patterns in the polysomnographic signals collected in overnight recording over several months. However, manual sleep staging is a repetitive and time-consuming process as marking one typical eight hours overnight polysomnographic recording can take up to two hours to complete. Due to increased processing capabilities, it is now possible to automate this process and assist the sleep expert. A large number of algorithms have been proposed during the last few decades. This review article presents an overview of the existing automatic sleep staging methods, discusses the different challenges and proposes future prospects for new research opportunities.
研究表明,睡眠不足的患者患高血压、糖尿病和抑郁症的风险高于睡眠正常的人。所有这些问题的治疗都需要对睡眠阶段和模式进行准确的分析,这些睡眠阶段和模式是在几个月的夜间记录中收集到的多导睡眠图信号。然而,手动睡眠分期是一个重复且耗时的过程,因为标记一个典型的8小时夜间多导睡眠图记录可能需要长达两个小时才能完成。由于处理能力的提高,现在可以自动化这个过程并协助睡眠专家。在过去的几十年里,已经提出了大量的算法。这篇综述文章介绍了现有的自动睡眠分期方法的概述,讨论了不同的挑战,并提出了新的研究机会的未来前景。
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引用次数: 22
A new power flow control scheme using interline power flow controller 一种利用线间潮流控制器的潮流控制新方案
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705822
Mustafa M. Al Khabbaz, M. Abido
The Flexible AC Transmission System (FACTS) devices are low-environmental impact, cost effective and long term proven solutions to transmission line difficulties. Interline Power Flow Controller (IPFC) is a novel FACTS device with an exceptional ability to control power flow among multiline transmission system unlike the other devices in which they are used to manage and compensate single transmission line. This paper attempts to reduce power deviation in a particular transmission line utilizing IPFC by adjusting angles and magnitudes of the series voltage source converters representing IPFC. To the best of our knowledge, there has been no clear study till now proposes employing IPFC to this application. A case-study is presented at the end of this investigation with the aim of simulating the ability of this device to maintain the power flow in a transmission line unchanged. Differential Evolution is employed to optimize the control parameters. The results show the effectiveness of the proposed control scheme in controlling the power flow and diminish its fluctuations.
柔性交流输电系统(FACTS)设备是低环境影响,成本效益和长期行之有效的解决方案,以传输线的困难。IPFC (Interline Power Flow Controller)是一种新型的FACTS设备,不同于其他设备用于管理和补偿单线传输,它具有控制多线传输系统间功率流的特殊能力。本文试图利用IPFC通过调整代表IPFC的串联电压源转换器的角度和幅度来减少特定传输线中的功率偏差。据我们所知,到目前为止还没有明确的研究建议将IPFC应用于这一应用。在本研究的最后,提出了一个案例研究,目的是模拟该装置保持输电线路中潮流不变的能力。采用差分进化方法对控制参数进行优化。结果表明,所提出的控制方案在控制潮流和减小潮流波动方面是有效的。
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引用次数: 1
MDLF-Mavg: A new speech feature with a voice print MDLF-Mavg:一种带有声纹的新语音功能
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705847
A. Mahmood, M. Alsulaiman, G. Muhammad, S. Selouani
A new feature extraction method is presented in this paper. It is modification to our previous work where we have extracted Multidimentional local features (MDLF). We name the new feature as Multi-Directional Local Feature with moving average(MDLF-Mavg). MDLF-Mavg is based on three-point linear regression and three point moving average. Linear regression is applied on horizontal (time axis) that captures phoneme onset and offset and vertical (frequency axis) which capture formant contours whereas modified moving average is applied on (45 degree) time-frequency axis and (135 degree) time-frequency axis which capture the voiceprint of speaker. The MDLF-Mavg performance is compared to other speech features in a speaker recognition system. MDLF-Mavg has shown better performance than the other features. In the case of the female only part of the database it achieved 100% recognition rate. We will show that MDLF-Mavg produce what can be looked at as a voice print for each speaker when vocalizing a certain text.
提出了一种新的特征提取方法。这是对我们之前提取多维局部特征(MDLF)的改进。我们将新特征命名为带有移动平均线的多方向局部特征(MDLF-Mavg)。MDLF-Mavg是基于三点线性回归和三点移动平均。线性回归应用于水平(时间轴),捕获音素开始和偏移,垂直(频率轴)捕获形成峰轮廓,而修改的移动平均应用于(45度)时频轴和(135度)时频轴,捕获说话者的声纹。将MDLF-Mavg性能与说话人识别系统中的其他语音特征进行了比较。MDLF-Mavg表现出比其他功能更好的性能。在仅对女性部分数据库的情况下,实现了100%的识别率。我们将展示MDLF-Mavg在每个说话者发出特定文本时产生的声纹。
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引用次数: 3
Detection and discrimination between unbalanced supply and phase loss in PMSM using ANN-based protection scheme 基于人工神经网络的永磁同步电机供电不平衡和缺相检测与识别
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705817
S. Refaat, H. Abu-Rub, M. S. Saad, E. Aboul-Zahab, A. Iqbal
Recently, Permanent Magnet Synchronous Motors (PMSM) is one of the most attractive electric machine in industrial applications, therefor must be protected against electrical and mechanical failures for continue their operation safely. However, different kinds of faults are unavoidable in motors during their operational service. Unbalancing in the supply voltage is common in grid supply. However, the unbalance supply and phase loss produces similar symptoms. Therefore, this paper focuses on unbalanced supply condition diagnosis and discrimination between unbalancing in supply and single phasing or phase loss fault based. The proposed technique utilizes the ratio of third harmonic to fundamental of stator line currents and supply voltages using artificial neural network (ANN). The presented approach gives high degree of accuracy in detection and diagnosis of phase loss fault and those due to supply voltages unbalance using artificial neural network. All simulations in this paper are conducted using finite element analysis software. The approach is proven effectively through experimental validation.
永磁同步电机(PMSM)是近年来工业应用中最具吸引力的电机之一,因此必须对其进行电气和机械故障保护,以确保其继续安全运行。然而,在电动机的运行过程中,各种故障是不可避免的。供电电压不平衡是电网供电中常见的问题。但是,供应不平衡和缺相也会产生类似的症状。因此,本文重点研究了基于单相或缺相故障的不平衡供电状态诊断和不平衡供电判别。该方法采用人工神经网络技术,利用定子电流和电源电压的三次谐波与基次的比值。该方法利用人工神经网络对缺相故障和电源电压不平衡故障进行了高精度的检测和诊断。本文的所有仿真均采用有限元分析软件进行。实验验证了该方法的有效性。
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引用次数: 3
Assessing the security of the cloud environment 评估云环境的安全性
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705785
Eman Al Awadhi, K. Salah, T. Martin
Nowadays, many organizations find it economically attractive to host their services in a cloud environment. Still, security remains the number one concern for many organizations in adopting the cloud services. In this paper, we assess and study the security of a typical cloud environment as that of the popular Amazon AWS Cloud. The cloud security is assessed by deploying and running Dionaea honeypots for a few months in the cloud provide networks. Collected data and logs from Dionaea honeypots show that the cloud environment is surprisingly insecure and is in fact a target of malicious activities and attacks from different countries.
如今,许多组织发现在云环境中托管其服务具有经济吸引力。尽管如此,安全性仍然是许多组织在采用云服务时最关心的问题。在本文中,我们评估和研究了一个典型的云环境的安全性,如流行的亚马逊AWS云。通过在云提供网络中部署和运行Dionaea蜜罐几个月来评估云安全性。从Dionaea蜜罐收集的数据和日志显示,云环境非常不安全,实际上是来自不同国家的恶意活动和攻击的目标。
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引用次数: 20
Student engagement in engineering design: A successful story at Qatar University 学生参与工程设计:卡塔尔大学的一个成功案例
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705816
F. Benyahia
A successful story on teaching innovation and creativity in engineering design instruction is presented in this paper. The approach emphasizes the role of student engagement built around team spirit and industry support to students. This paper presents findings on student engagement, engagement styles and practical implementation of instructional methods to enhance student engagement in engineering design. This approach targets student-centered learning where the students assume the responsibility for their own learning. A team teaching and learning approach was adopted with great emphasis on industrial involvement and student role play for a better preparation for future professional life. This approach has allowed students to reinforce and apply subject knowledge, whilst developing key skills such as teamwork and communication. The project-based approach has been successful at improving students' engagement and sense of responsibility within a more active learning environment. It has also boosted a majority of students' confidence in themselves, making a significant shift from the purely academic achievement to near professional life achievement.
本文介绍了工程设计教学中创新与创造的成功案例。这种方法强调学生参与的作用,建立在团队精神和行业对学生的支持之上。本文介绍了学生参与、参与风格和实际实施的教学方法,以提高学生在工程设计中的参与。这种方法的目标是以学生为中心的学习,学生承担自己学习的责任。采用团队教学和学习的方法,强调行业参与和学生角色扮演,为未来的职业生涯做好准备。这种方法使学生能够巩固和应用学科知识,同时培养团队合作和沟通等关键技能。以项目为基础的方法在提高学生的参与度和责任感方面取得了成功,在一个更积极的学习环境中。它也增强了大多数学生对自己的信心,实现了从纯粹的学术成就到接近职业生涯成就的重大转变。
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引用次数: 0
Adaptive geometric wavelet transform based two dimensional data compression 基于自适应几何小波变换的二维数据压缩
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705844
S. A. R. Naqvi, I. Touqir, S. A. Raza
Easy Path Wavelet Transform (EPWT), a wavelet based compression technique that averages in adaptive neighborhoods of image intensity points, is utilized for the sparse representation of two-dimensional data. EPWT, when applied upon images, operates along the permutations of original image indices exploiting the local correlations in an uncomplicated manner. The highly correlated array of function values when passed through one-dimensional wavelet filters produce wavelet coefficients of minimum magnitude. Consequently high compression ratio is achieved after the application of a wavelet shrinkage procedure on the reconstructed images. Thus the image can be represented in terms of its wavelet decomposition coefficients and the respective path vectors obtained at all levels.
简单路径小波变换(EPWT)是一种基于小波变换的图像强度点自适应邻域平均的压缩技术,用于二维数据的稀疏表示。当应用于图像时,EPWT沿着原始图像索引的排列操作,以一种简单的方式利用局部相关性。高度相关的函数值数组通过一维小波滤波器产生最小幅度的小波系数。对重构图像进行小波压缩处理后,获得了较高的压缩比。这样就可以用图像的小波分解系数和得到的各级路径向量来表示图像。
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引用次数: 6
Robotic toys for autistic children: Innovative tools for teaching and treatment 自闭症儿童的机器人玩具:教学和治疗的创新工具
Pub Date : 2013-11-01 DOI: 10.1109/IEEEGCC.2013.6705773
U. Qidwai, M. Shakir, O. Connor
This paper presents an initial study related to the use of robotic toys as teaching and therapeutic aid tools for teachers and care-givers as well as parents of children with various levels of autism spectrum disorder (ASD). Some of the most common features related to the behavior of a child with ASD are his/her social isolation, living in their own world, not being physically active, and not willing to learn new things. While the teachers, parents, and all other related care-givers do their best to improve the condition of these kids, it is usually quite an uphill task. However, one remarkable observation that has been reported by several teachers dealing with ASD children is the fact that the same children do get attracted to toys with lights and sounds. Hence, this project targets the development/modifications of such existing toys into appropriate behavior training tools which the care-givers can use as they would desire. Initially, the remote control is in hand of the trainer, but after some time, the child is entrusted with the control of the robotic toy to test for the level of interest. It has been found during the course of this study that children with quite low learning activity got extremely interested in the robot and even advanced to controlling the robot with the PS2 type joystick. It has been observed that the children did show some hesitation in the beginning 5 minutes of the very first sessions of such interaction but were very comfortable afterwards which has been considered as a very strong indicator of the potential of this technique in teaching and rehabilitation of children with ASD or similar brain disorders.
本文介绍了一项关于使用机器人玩具作为教师和护理人员以及患有不同程度自闭症谱系障碍(ASD)儿童的父母的教学和治疗辅助工具的初步研究。与自闭症儿童的行为有关的一些最常见的特征是他/她的社会孤立,生活在自己的世界里,不活跃,不愿意学习新事物。虽然老师、家长和所有其他相关的照顾者尽最大努力改善这些孩子的状况,但这通常是一项艰巨的任务。然而,几位教授自闭症儿童的老师报告了一个值得注意的观察结果,即这些孩子确实会被有灯光和声音的玩具所吸引。因此,这个项目的目标是开发/修改这些现有的玩具,使其成为适当的行为训练工具,供护理人员按照自己的意愿使用。最初,遥控器在教练手中,但一段时间后,孩子被委托控制机器人玩具,以测试兴趣水平。我们在研究过程中发现,原本学习活跃度很低的儿童对机器人产生了极大的兴趣,甚至发展到可以用PS2型操纵杆控制机器人。我们观察到孩子们在第一次互动的前5分钟确实表现出一些犹豫但之后就很舒服了这被认为是这种技术在自闭症儿童或类似脑部疾病的教学和康复方面的潜力的一个强有力的指标。
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引用次数: 11
期刊
2013 7th IEEE GCC Conference and Exhibition (GCC)
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