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2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)最新文献

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Enhancing the determination of aspect categories and their polarities in Arabic reviews using lexicon-based approaches 用基于词典的方法增强阿拉伯文评论中方面类别及其极性的确定
Islam Obaidat, Rami Mohawesh, M. Al-Ayyoub, Mohammad Al-Smadi, Y. Jararweh
Sentiment Analysis (SA) is the process of determining the sentiment of a text written in a natural language to be positive, negative or neutral. It is one of the most interesting subfields of natural language processing (NLP) and Web mining due to its diverse applications and the challenges associated with applying it on the massive amounts of textual data available online (especially, on social networks). Most of the current works on SA focus on the English language and work on the sentence-level or the document-level. This work focuses on the less studied version of SA, which is aspect-based SA (ABSA) for the Arabic language. Specifically, this work considers two ABSA tasks: aspect category determination and aspect category polarity determination, and makes use of the publicly available human annotated Arabic dataset (HAAD) along with its baseline experiments conducted by HAAD providers. In this work, several lexicon-based approaches are presented for the two tasks at hand and show that some of the presented approaches significantly outperforms the best known result on the given dataset.
情感分析(SA)是确定用自然语言写成的文本的情感是积极的、消极的或中立的过程。它是自然语言处理(NLP)和Web挖掘中最有趣的子领域之一,因为它有各种各样的应用程序,以及将其应用于在线(特别是社交网络)上的大量文本数据所带来的挑战。目前关于情景识别的研究大多集中在英语语言层面,主要集中在句子层面或文档层面。这项工作的重点是研究较少的SA版本,即阿拉伯语的基于方面的SA (ABSA)。具体来说,这项工作考虑了两个ABSA任务:方面类别确定和方面类别极性确定,并利用了公开可用的人类注释阿拉伯语数据集(HAAD)及其由HAAD提供者进行的基线实验。在这项工作中,针对手头的两个任务提出了几种基于词典的方法,并表明其中一些方法在给定数据集上的性能明显优于已知的最佳结果。
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引用次数: 53
Real-time 3D fish tracking and behaviour analysis 实时3D鱼类跟踪和行为分析
Hamzah S. AlZu'bi, W. Al-Nuaimy, Jonathan Buckley, L. Sneddon, Iain S. Young
Over half a million fish are used in scientific procedures annually in the UK alone. Most fish are subject to invasive procedures which may cause pain distress or death. A range of procedures such as fin clipping, tagging and exposure to chemicals of low pH have been associated with change in behaviour. Abnormal behaviour after common procedures may influence and confuse experiment output.
仅在英国,每年就有超过50万条鱼被用于科学研究。大多数鱼都要接受侵入性手术,这可能会导致疼痛、痛苦或死亡。一系列的过程,如剪鳍,标记和接触低pH值的化学物质,都与行为的改变有关。常规程序后的异常行为可能影响和混淆实验结果。
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引用次数: 7
Distributed processing system for gas odorization 分布式气体加臭处理系统
Mario Reis, F. Perdigoto, Antonio Pires, Fernando Henriques, S. Faria, T. Fernandes
This paper proposes an advanced industrial controller prepared for hazardous industrial environments, namely natural gas odorisation. Its design and conception is focused on robustness and reliability, with high flexibility to allow local and remote monitoring and control. Instead of a centralized approach, where the computational load relies on a unique processor, we propose a distributed architecture, where the various control tasks are distributed among the existing microprocessors, like in a DCS system, but yet exhibiting a fast response time between inputs and outputs, like a PLC.The proposed architecture presents a high degree of flexibility and scalability, in order to allow an easy addition of new modules. By resorting to a script language interpreter installed in each I/O board, they may be reconfigured to a different functionally, thus increasing the system reliability and safety. An efficient and synchronized communication between boards ensures that all memory boards share the system status information, thus allowing each board to process individually. With the same performance and flexibility of a high-end PLC controller with full extras, like tactile HMI and TCP/IP remote control, we present an affordable gas odorizing system, which can be easily adapted for other industrial applications.
本文提出了一种先进的工业控制器,用于危险工业环境,即天然气加臭。它的设计和概念侧重于鲁棒性和可靠性,具有高度的灵活性,可以进行本地和远程监控。我们提出了一种分布式架构,而不是集中式方法,其中计算负载依赖于唯一的处理器,其中各种控制任务分布在现有的微处理器之间,就像在DCS系统中一样,但在输入和输出之间表现出快速的响应时间,就像PLC一样。所提出的体系结构具有高度的灵活性和可伸缩性,从而允许轻松添加新模块。通过使用安装在每个I/O板上的脚本语言解释器,它们可以重新配置为不同的功能,从而提高系统的可靠性和安全性。各内存板之间高效、同步的通信,确保所有内存板共享系统状态信息,从而实现各板独立处理。具有与高端PLC控制器相同的性能和灵活性,具有完整的额外功能,如触觉HMI和TCP/IP远程控制,我们提出了一种经济实惠的气体加味系统,可以很容易地适应其他工业应用。
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引用次数: 1
Impact of rotor winding and stator stepped end core on magnetic force distribution on stator end-winding of turbogenerators 转子绕组和定子阶梯式端铁心对汽轮发电机定子端绕组磁力分布的影响
A. Ghaempanah, J. Faiz
Impact of the rotor end-winding on the force distribution of the stator end-winding using equivalent current sheets or a concentrated coil in each rotor slot has been so far considered in the literatures. However, the impact of the stator stepped end core on the force has not been studied yet. In this paper calculation methods for magnetic force exerted on the stator end-winding are first reviewed comprehensively; then the impact of some parameters on the magnetic force distribution on the stator end-winding of a 2-pole, 200 MVA turbo-generator under sudden three-phase short-circuit are studied. Three-dimensional finite element method (FEM) based on the reduced magnetic scalar potential formulation is used. The stator and rotor end-windings actual geometry is taken into account, except their cross section areas which are approximated by combination of straight line segments. To simplify the meshing process, stator stepped end core geometry is replaced by equivalent ramp geometry. Short-circuit currents of the generator windings are computed using two-dimensional transient FEM. It is shown that these parameters affect the stator end-winding magnetic force, particularly in the involutes part of the stator end-coils.
目前文献中考虑的是转子端部绕组对定子端部绕组力分布的影响,分别采用等效电流片或转子各槽集中线圈。然而,定子阶梯式端铁心对力的影响尚未得到研究。本文首先综述了定子端部绕组磁力的计算方法;在此基础上,研究了两极200mva汽轮发电机在三相突然短路情况下,一些参数对定子端绕组磁力分布的影响。采用了基于简化磁标量势公式的三维有限元法。定子和转子端部绕组的实际几何形状考虑在内,但其横截面面积由直线段组合近似。为了简化网格划分过程,将定子阶梯式端铁心几何形状替换为等效斜坡几何形状。采用二维暂态有限元法计算了发电机绕组的短路电流。结果表明,这些参数对定子端面绕组磁力有影响,特别是在定子端面线圈的渐开线部分。
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引用次数: 5
A policy-based location-aware framework for personalized services in cloud computing systems 用于云计算系统中个性化服务的基于策略的位置感知框架
I. Al Ridhawi, M. Aloqaily
Autonomous service adaptation in cloud environments requires both location-awareness and the acquisition and utilization of contextual information. Statically configured service adaptation frameworks lack the ability to adapt to changing network conditions and geographical locations. This paper presents a framework that continuously derives updated configuration policies with respect to service selection and handover to third party cloud service providers. Location tracking and prediction empower the system to provide ongoing robust services for cloud service subscribers. To achieve this goal, the proposed work relies on a policy-based real-time simulator to evaluate possible new service provider handover configurations before actually applying them to the real network. Preliminary performance evaluation results demonstrate the significant enhancement of the outcome of the proposed framework in terms of continuous services for subscribers and load balancing for service providers.
云环境中的自治服务适应既需要位置感知,也需要获取和利用上下文信息。静态配置的服务适应框架缺乏适应不断变化的网络条件和地理位置的能力。本文提出了一个框架,该框架可以在服务选择和向第三方云服务提供商移交方面不断派生更新的配置策略。位置跟踪和预测使系统能够为云服务订户提供持续可靠的服务。为了实现这一目标,所提出的工作依赖于一个基于策略的实时模拟器来评估可能的新服务提供商切换配置,然后将其实际应用于真实网络。初步的性能评估结果表明,在为用户提供连续服务和为服务提供商提供负载平衡方面,所提出的框架的结果显著增强。
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引用次数: 4
Optimizing Feedforward neural networks using Krill Herd algorithm for E-mail spam detection 基于Krill Herd算法的前馈神经网络垃圾邮件检测优化
Hossam Faris, Ibrahim Aljarah, Ja'far Alqatawna
Krill Herd is a new optimization technique that was inspired by the herding behavior of real small crustaceans called Krills. The method was developed for continuous optimization problems and has recently been successfully applied to different complex problems. Feedforward neural network has a number of characteristics which make it suitable for solving complex classification problems. The training of the this type of neural networks is considered the most challenging operation. Training neural networks aims to find a nearly global optimal set of connection weights in a relatively short time. In this paper we propose an application of Krill Herd algorithm for training the Feedforward neural network and optimizing its connection weights. The developed neural network will be applied for an E-mail spam detection model. The model will be evaluated and compared to other two popular training algorithms; the Back-propagation algorithm and the Genetic Algorithm. Evaluation results show that the developed training approach using Krill Herd algorithm outperforms the other two algorithms.
磷虾群是一种新的优化技术,灵感来自于真正的小甲壳类动物磷虾的放牧行为。该方法是为连续优化问题而开发的,最近已成功地应用于各种复杂问题。前馈神经网络具有许多特点,使其适合于解决复杂的分类问题。这类神经网络的训练被认为是最具挑战性的操作。训练神经网络的目标是在相对较短的时间内找到一个接近全局最优的连接权集。本文提出了一种应用Krill Herd算法训练前馈神经网络并优化其连接权值的方法。所开发的神经网络将应用于垃圾邮件检测模型。该模型将被评估并与其他两种流行的训练算法进行比较;反向传播算法和遗传算法。评价结果表明,基于Krill Herd算法的训练方法优于其他两种算法。
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引用次数: 55
CSPDA: Contention and stability aware partially disjoint AOMDV routing protocol CSPDA:考虑争用和稳定性的部分分离AOMDV路由协议
W. Almobaideen, Dimah A. Z. AlKhateeb
Mobile Ad-hoc NETworks (MANET) consists of mobile nodes that can move randomly resulting in a very dynamic network topology. MANET could use single or multipath routing protocols. Multipath routing protocols usually select more than one path between any source and destination. Stability based partially disjoint AOMDV (SPDA), is a multipath routing protocols that selects partially disjoint paths that are stable based on the history of these multiple paths kept by each node. In this paper a new protocol which is based on SPDA is presented and evaluated. The proposed protocol gets multiple loop-free partially link disjoint paths based on links stability and extends SPDA by tacking wireless carrier perceived contention level into consideration. The proposed protocol is called Contention and Stability-based Partially Disjoint AOMDV (CSPDA) protocol. Results show an obvious improvement of CSPDA over SPDA regarding the throughput and end to end delay performance metrics. Experiments have been conducted using Glomosim simulator package while varying different performance parameters such as the mobility speed of wireless nodes as well as the number of connections initiated by various nodes in the ad hoc network.
移动自组织网络(MANET)由可以随机移动的移动节点组成,从而形成非常动态的网络拓扑结构。MANET可以使用单路径或多路径路由协议。多路径路由协议通常在任何源和目的之间选择多条路径。基于稳定性的部分不相交AOMDV (SPDA)是一种多路径路由协议,它根据每个节点保存的多路径历史选择稳定的部分不相交路径。本文提出了一种基于SPDA的新协议,并对其进行了评价。该协议基于链路稳定性获得多条无环路的部分链路不相交路径,并通过考虑无线运营商感知争用水平来扩展SPDA。该协议被称为基于争用和稳定性的部分不相交AOMDV (CSPDA)协议。结果表明,在吞吐量和端到端延迟性能指标方面,CSPDA比SPDA有明显的改进。利用Glomosim模拟器包,在改变无线节点的移动速度和自组网中各节点发起的连接数等不同性能参数的情况下进行了实验。
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引用次数: 3
Impact of annealing temperature on piezoelectric and morphological properties of aluminium nitride thin films 退火温度对氮化铝薄膜压电和形态性能的影响
A. Ababneh
Aluminium nitride (AlN) is a promising material for high temperature applications in harsh environments. Reactively sputter-deposited AlN from an aluminium target is an interesting piezoelectric thin film material with high CMOS compatibility. The properties of thin films differ from bulk material, especially at high temperatures. Therefore, the influence of different annealing temperatures up to 1000°C on the microstructure of AlN thin films with a typical thickness of about 500 nm was investigated. The degree of c-axis orientation is unaffected for temperature between room temperature and 400°C. By further increasing the annealing temperature up to 800°C, the intensity of the (0 0 2) peak decreases slightly. At 1000°C, the peak intensity decreased by a factor of about 1.5. The grain size increased with increased annealing temperature, where the grain size was about 40 nm in “as deposited” state and increased to 50 nm at 800°C and to 100 nm at 1000°C. At 1000°C annealing temperature the columnar growth is disturbed by the formation of pinholes inside the film. Finally, the piezoelectric coefficients d33 and d31 were determined experimentally by laser scanning vibrometry. Effective values for temperatures between room temperature and 400°C were 3.0 and -1.0 pm/V, respectively. By further increase of the annealing temperature, the piezoelectric coefficients decreased. The effective d33 and d31 values for films annealed at 800°C were 1.8 pm/V and -0.77 pm/V, respectively. As for films annealed at 1000°C, no displacement profile was detected by the laser vibrometer, which indicates poor film structure.
氮化铝(AlN)是一种很有前途的材料,可用于恶劣环境下的高温应用。反应溅射沉积铝靶AlN是一种有趣的具有高CMOS兼容性的压电薄膜材料。薄膜的性质不同于大块材料,特别是在高温下。因此,研究了1000℃以下不同退火温度对典型厚度约为500 nm的AlN薄膜微观结构的影响。C轴取向的程度在室温到400℃之间不受影响。进一步提高退火温度至800℃,(0 0 2)峰强度略有下降。在1000℃时,峰值强度降低了约1.5倍。晶粒尺寸随着退火温度的升高而增大,在“沉积”状态下晶粒尺寸约为40 nm,在800℃时增大到50 nm,在1000℃时增大到100 nm。在1000℃退火温度下,薄膜内部形成针孔,阻碍了柱状生长。最后用激光扫描测振仪测定了压电系数d33和d31。室温至400℃之间的有效值分别为3.0和-1.0 pm/V。随着退火温度的升高,压电系数减小。800℃退火膜的有效d33和d31值分别为1.8 pm/V和-0.77 pm/V。对于1000℃退火后的薄膜,激光测振仪未检测到位移曲线,说明薄膜结构较差。
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引用次数: 3
Preprocessing and analyzing educational data set using X-API for improving student's performance 利用X-API对教育数据集进行预处理和分析,以提高学生的学习成绩
Elaf Abu Amrieh, Thair M. Hamtini, Ibrahim Aljarah
Educational data mining concerns of developing methods to discover hidden patterns from educational data. The quality of data mining techniques depends on the collected data and features. In this paper, we proposed a new student performance model with a new category of features, which called behavioral features. This type of features is related to the learner interactivity with e-learning system. We collect the data from an e-Learning system called Kalboard 360 using Experience API Web service (XAPI). After that, we use some data mining techniques such as Artificial Neural Network, Naïve Bayesian, and Decision Tree classifiers to evaluate the impact of such features on student's academic performance. The results reveal that there is a strong relationship between learner behaviors and its academic achievement. Results with different classification methods using behavioral features achieved up to 29% improvement in the classification accuracy compared to the same data set when removing such features.
教育数据挖掘涉及开发从教育数据中发现隐藏模式的方法。数据挖掘技术的质量取决于所收集的数据和特征。在本文中,我们提出了一种新的学生成绩模型,其中包含了一种新的特征类别,即行为特征。这种类型的特征与学习者与电子学习系统的交互性有关。我们使用体验API Web服务(XAPI)从一个名为Kalboard 360的电子学习系统收集数据。之后,我们使用一些数据挖掘技术,如人工神经网络、Naïve贝叶斯和决策树分类器来评估这些特征对学生学习成绩的影响。研究结果表明,学习者行为与其学业成绩之间存在着密切的关系。使用行为特征的不同分类方法的结果与相同数据集相比,在去除这些特征时,分类准确率提高了29%。
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引用次数: 92
Component-based engineering of distributed control and automation software 基于组件的分布式控制和自动化软件工程
G. Hassapis
In this article a brief introduction to the IEC61499 standard is made. This standard proposes reference architecture and language constructs for developing event-based software models for distributed control and automation systems. Based on this standard, a methodology is presented addressing a systematic stepwise software development for automation applications. The first step considers a high level abstract design of the software by the use of the Composite Function Block concept of the standard and the subsequent steps address the fine grained development of models for the components of the first step abstract design. At the final step the executable code is generated. Available software engineering tools that can be utilized to support the design steps are also presented.
本文对IEC61499标准作了简要介绍。本标准提出了用于开发分布式控制和自动化系统的基于事件的软件模型的参考体系结构和语言构造。在此基础上,提出了一种针对自动化应用系统的逐步软件开发方法。第一步通过使用标准的组合功能块概念考虑软件的高级抽象设计,随后的步骤处理第一步抽象设计的组件的模型的细粒度开发。在最后一步,生成可执行代码。还介绍了可用于支持设计步骤的可用软件工程工具。
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引用次数: 1
期刊
2015 IEEE Jordan Conference on Applied Electrical Engineering and Computing Technologies (AEECT)
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