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DPCS: A distributed power control scheme for mobile wireless sensor networks DPCS:一种用于移动无线传感器网络的分布式电源控制方案
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149598
Amira Bendjeddou, Fatiha Djemili Tolba, N. Ghoualmi, P. Lorenz
Wireless sensor networks provide a lot of interesting to monitoring applications. However, the problem of limited energy of sensor disrupts the proper functioning of the network by limiting its lifetime. In fact, the aspect of minimize energy consumption and maximize lifetime of sensor networks is constituted a real challenge. In this paper, we propose a novel distributed power control scheme (DPCS) for mobile wireless sensor networks. The main idea behind the proposed scheme is developing an effective mechanism for manage the transmission power when nodes are mobile. DPCS aims to reduce the energy spent at communication and at the time ensuring a good connectivity. Simulations show that our scheme realizes an improvement compared to the classic scheme, in terms of network lifetime and connectivity in spite of the sensors mobility.
无线传感器网络为监控应用提供了许多有趣的东西。然而,传感器能量有限的问题限制了网络的寿命,影响了网络的正常运行。事实上,传感器网络的能量消耗最小化和寿命最大化是一个真正的挑战。本文提出了一种新的移动无线传感器网络分布式功率控制方案(DPCS)。该方案的主要思想是开发一种有效的机制来管理节点移动时的传输功率。DPCS旨在减少在通信上花费的能量,同时确保良好的连接。仿真结果表明,在传感器具有移动性的情况下,该方案在网络生存期和连通性方面都比传统方案有了很大的提高。
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引用次数: 3
Artificial Immune Recognition System for Arabic writer identification 用于阿拉伯文字识别的人工免疫识别系统
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149612
Chawki Djeddi, L. Souici-Meslati
Artificial Immune Systems (AIS) is an emerging bio-inspired computer science technique which embody the principles of biological immune systems for tackling complex real-world problems such as pattern recognition. Among the several immune-computing models, Artificial Immune Recognition System (AIRS) is one of the widely used for classification problems. Meanwhile, the issues related to writer identification are currently at the heart of numerous concerns in our modern day's society. Writer identification for Arabic text is receiving a renewed attention. Many popular machine learning techniques have been used in writer identification systems but only one limited attempt has been done with AIS. In this paper, we apply AIRS to perform Arabic writer identification based on a set of features extracted from Grey Level Co-occurrence Matrices. Some feature selection techniques are applied to improve computation time and accuracy results. Three traditional classifiers have also been used in our experiments for performance comparison. The obtained results show the promising ability of AIRS in Writer identification.
人工免疫系统(AIS)是一种新兴的受生物启发的计算机科学技术,它体现了生物免疫系统的原理,用于解决复杂的现实世界问题,如模式识别。在多种免疫计算模型中,人工免疫识别系统(Artificial Immune Recognition System, AIRS)是一种应用广泛的分类计算模型。与此同时,与作家身份相关的问题目前是我们现代社会众多关注的核心。阿拉伯语文本的作者识别再次受到关注。许多流行的机器学习技术已经用于作家识别系统,但只有一个有限的尝试已经完成了AIS。在本文中,我们基于从灰度共生矩阵中提取的一组特征,应用AIRS进行阿拉伯语作者识别。采用了一些特征选择技术来提高计算时间和精度。在我们的实验中还使用了三种传统的分类器进行性能比较。实验结果表明,该方法在作家识别中具有良好的应用前景。
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引用次数: 29
Multi-lingual machine translation system based on a linguistic approach 基于语言学方法的多语种机器翻译系统
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149611
F. Bouzit, M. Laskri
This work falls within the framework of natural language processing. Our goal is to develop a machine translation system from Arabic to any target language using a purely linguistic method as a key to get insights into the standard layer-based structure of linguistic phenomena (morphology, syntax and semantics) as well as in recognizing the interaction between them, which we think is the most appropriate to a such rich in morphology and syntax language as Arabic. To ensure that, we used a set of linguistic theories such as: Fillmore theory, conceptual dependency, semantic traits of Chafe and frame representation of Minsky. We will show in this paper, the usefulness of these methods and how we combined them to realize a multilingual translation system.
这项工作属于自然语言处理的范畴。我们的目标是开发一个从阿拉伯语到任何目标语言的机器翻译系统,使用纯语言学方法作为关键,以深入了解语言现象(形态学,语法和语义)的标准分层结构以及识别它们之间的相互作用,我们认为这是最适合阿拉伯语这样一个丰富的形态学和语法语言。为此,我们采用了Fillmore理论、概念依赖、Chafe的语义特征和Minsky的框架表征等语言学理论。我们将在本文中展示这些方法的有用性,以及我们如何将它们结合起来实现多语言翻译系统。
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引用次数: 2
Classification and control system for achieving client documents with an FPGA interfacing circuit 用FPGA接口电路实现客户端文档的分类与控制系统
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149608
Taha A. Al-sabbagh
In this paper a classification and control system based on the use of personal computer is realized for people who want to achieve their documents in public utility offices. It is specially designed to bring about order, efficiency and comfort in different places. It consists of two parts, the first is software program designed in Visual Basic, Which will be used to classify people according to their demands. On entering the reception department of the office, a client will face a dedicated console. He selects a key relates to the process he wants to achieve. Then the program will arrange these data to be used later on calling clients. Till now there are many people who are not accustomed to deal with the new technology. So in this paper the problem is solved and the client will keep his priority. The second part is an interface logical circuit between the PC and the declaration display. This interface is based on an FPGA integrated circuit. The 7-segment displays are used in stead of cathode ray tube as they are clearer in displaying data as well as easier in driving any number of them.
本文针对公用事业单位公文管理的需要,实现了一种基于个人计算机的公文分类与控制系统。它是专门为不同场所带来秩序、效率和舒适而设计的。它由两部分组成,第一部分是用Visual Basic编写的软件程序,它将根据人们的需求对他们进行分类。在进入办公室的接待部门时,客户将面对一个专用控制台。他选择一个与他想要实现的过程相关的关键。然后,程序将安排这些数据稍后在调用客户机时使用。到目前为止,仍有许多人不习惯使用新技术。因此,本文解决了这个问题,并保留了客户的优先权。第二部分是PC机与声明显示器之间的接口逻辑电路。该接口基于FPGA集成电路。7段显示器被用来代替阴极射线管,因为它们在显示数据时更清晰,也更容易驾驶任何数量的显示器。
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引用次数: 1
A community detection algorithm for Web Usage Mining systems 一种用于Web使用挖掘系统的社区检测算法
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149605
Yacine Slimani, A. Moussaoui, Y. Lechevallier, Ahlem Drif
Extracting knowledge from Web user's access data in Web Usage Mining (WUM) process is challenging task that is continuing to gain importance as the size of the web and its user-base increase. That's why meaningful methods have been proposed in the literature in order to understand the behaviour of the user in the web and improve the access modes to information. In this present work, we propose to emerge the community detection technique in WUM process, so we propose an approach of data extraction based on the modularity function. The obtained results illustrate the aptitude of the proposed algorithm to determine the optimal solution and to improve the Web design.
在Web使用挖掘(WUM)过程中,从Web用户访问数据中提取知识是一项具有挑战性的任务,随着Web规模和用户基础的增加,这一任务变得越来越重要。这就是为什么在文献中提出了有意义的方法,以了解用户在网络中的行为并改进信息的访问模式。本文提出在WUM过程中引入社区检测技术,提出了一种基于模块化函数的数据提取方法。结果表明,该算法在确定最优解和改进网页设计方面的能力。
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引用次数: 5
XMap++: A novel semantic approach for alignment of OWL-Full ontologies based on semantic relationship using WordNet xmap++:使用WordNet基于语义关系来对齐OWL-Full本体的一种新颖的语义方法
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149595
M. Khadir, A. Djeddai, W. Djeddi
Automatic correspondence generation between two ontologies, is of great difficulty due, on one hand, to conceptual and habit differences between ontology development communities. On the other hand, alignment difficulties grew exponentially with the number and volume of the involved data. This work presents a proposition of an alignment algorithm XMap++; where the approach originality consists in taking into account the context of the alignment in order to overcome the problem of large size ontologies containing similar classes as well as a semantic similarity measure based on Wordnet. The weighted, sum in addition to the sigmoid function, which has to be shifted according to the weight of the linguistic affinity and to fit our input range of [0 to 1] is also used. Finally, the proposed algorithm is implemented as a Protege plug-in, and tested on a series of certified test units. A comparison in terms of results is also made with OLA (OWL lite Alignment) in terms of precision and fallout.
一方面,由于本体开发社区之间的概念和习惯差异,在两个本体之间自动生成对应关系非常困难。另一方面,对齐困难随着所涉及数据的数量和体积呈指数级增长。本文提出了一种对齐算法xmap++;该方法的独创性在于考虑了对齐的上下文,以克服包含相似类的大型本体的问题,以及基于Wordnet的语义相似性度量。除了sigmoid函数之外,还使用了加权和,该函数必须根据语言亲和度的权重进行移位,以拟合我们的输入范围[0到1]。最后,将该算法作为Protege插件实现,并在一系列认证测试单元上进行了测试。在结果方面也与OLA (OWL life Alignment)在精度和沉降方面进行了比较。
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引用次数: 5
Supporting Aspect-Oriented Paradigm by bio-inspired concepts 通过生物启发的概念支持面向方面的范式
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149599
S. Ghoul
The idea of applying the biological principle of natural evolution to artificial systems, introduced more than three decades ago, has seen impressive growth in the past few years. Usually these artificial systems group bio-inspired systems, evolutionary computation, artificial life, etc. This convinced all that nature has much we might be inspired by when designing our systems and the genetics is a promising inspiration. Extensive methodologies and systems, mapping it, were developed. But the mapping of the natural genetics to the software design has been however very limited. Actually, intensive efforts are being invested for upgrading programming tools from high level programming languages to design languages, including Aspect-Oriented Paradigm (AOP). The growing interest of AOP and its application in several domains necessitates its enrichment by strong concepts which are intended to support effectively the application domain diversity. This paper proposes such enhancement inspired from natural genetics. We first present Bio-inspired, Aspect-Oriented, and Subject-Oriented software design approaches. Then the enrichment of AOP, induced by a Bio-inspired approach, with its supporting design methodology will be introduced and evaluated.
将自然进化的生物学原理应用于人工系统的想法是三十多年前提出的,在过去几年里得到了令人印象深刻的发展。通常这些人工系统包括仿生系统、进化计算、人工生命等。这让所有人相信,在设计我们的系统时,大自然有很多可以启发我们的东西,遗传学是一个很有希望的启发。开发了广泛的方法和系统,将其映射出来。但是,将自然基因映射到软件设计上的方法非常有限。实际上,正在投入大量的精力将编程工具从高级编程语言升级到设计语言,包括面向方面的范式(AOP)。对AOP及其在多个领域的应用的日益增长的兴趣需要通过旨在有效地支持应用程序领域多样性的强大概念来丰富它。本文从自然遗传学的角度提出了这种增强方法。我们首先提出仿生、面向方面和面向主题的软件设计方法。然后,由bio启发的方法引起的AOP的丰富,及其支持的设计方法将被介绍和评估。
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引用次数: 4
Comparison of rule based classification techniques for the Arabic textual data 基于规则的阿拉伯文本数据分类技术比较
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149604
F. Thabtah, Omar Gharaibeh, Hussein Abdeljaber
Text categorisation discipline has recently attracted many scholars because of the large number of documents on the World Wide Web (WWW) that contain hidden useful information which can be utilised by organisational's managers for decision making. However, the majority of research conducted in text categorisation is related to English data collections while there is limited research attempts conducted on mining corpuses in Arabic. This paper investigates the problem of Arabic text categorisation in order to measure the performance of different rule based classification data mining techniques. Precisely, four different rule based classification approaches: C4.5, RIPPER, PART, and OneRule are compared against the known CCA Arabic text data set. Experiments are carried out using a modified version of WEKA business intelligence tool, and the results determine that the least suitable classification algorithms for classifying Arabic texts is OneRule whereas RIPPER, C4.5 and PART have similar performance with respect to error rate.
由于万维网(WWW)上的大量文档包含隐藏的有用信息,这些信息可以被组织管理者用于决策,文本分类学科近年来吸引了许多学者的关注。然而,在文本分类方面进行的大多数研究与英语数据收集有关,而在阿拉伯语挖掘语料库方面进行的研究尝试有限。本文研究了阿拉伯语文本分类问题,以衡量不同的基于规则的分类数据挖掘技术的性能。准确地说,四种不同的基于规则的分类方法:C4.5、RIPPER、PART和OneRule与已知的CCA阿拉伯文本数据集进行了比较。使用改进版本的WEKA商业智能工具进行实验,结果表明,最不适合对阿拉伯语文本进行分类的分类算法是OneRule,而RIPPER、C4.5和PART在错误率方面具有相似的性能。
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引用次数: 11
OntBot: Ontology based chatbot OntBot:基于本体的聊天机器人
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149594
Hadeel Al-Zubaide, A. A. Issa
A new ontology based approach is proposed to model and operate chatbots (OntBot). OntBot uses appropriate mapping technique to transform ontologies and knowledge into relational database and then use that knowledge to drive its chats. The proposed approach overcomes a number of traditional chatbots drawbacks including: the need to learn and use chatbot specific language such as AIML, high botmaster interference, and the use of non-matured technology. OntBot has the additional power of easy users interactions using their natural language, and the seamless support of different application domains. This gives the proposed approach a number of unique scalability and interoperability properties that are going to be evaluated in future phases of this research project.
提出了一种基于本体的聊天机器人建模和操作方法。OntBot使用适当的映射技术将本体和知识转换为关系数据库,然后使用该知识驱动其聊天。所提出的方法克服了许多传统聊天机器人的缺点,包括:需要学习和使用聊天机器人特定的语言,如AIML,高botmaster干扰,以及使用不成熟的技术。OntBot具有使用自然语言进行简单用户交互的额外功能,以及对不同应用程序领域的无缝支持。这为所建议的方法提供了许多独特的可伸缩性和互操作性属性,这些属性将在本研究项目的未来阶段进行评估。
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引用次数: 114
Design and implementation of SIMD Vector Processor on FPGA 基于FPGA的SIMD矢量处理器的设计与实现
Pub Date : 2011-11-01 DOI: 10.1109/ISIICT.2011.6149607
B. Mahmood, M. A. A. Jbaar
This paper handle the design and implementation of the SIMD Vector Processor on FPGA, this processor consist of 4 parallel lanes (processing elements PEs) that work simultaneously independent with each other, each one of those lanes has its own arithmetic units, vector register file which represents a part of the main distributed register file also it has a local memory for storage of execution results of that lane, lanes's local memories connects to each other to exchange their contains via interconnection networking that can be configure software to give a certain topology of static interconnection network, like (Mesh, Star,…etc) those lanes and their memories act a vector part of the SIMD Vector Processor. A scalar processor also designed and attached with the vector part in order to accomplish scalar instructions that can not be handle by vector lanes, this processor also has its scalar register file and set of arithmetic units.
本文介绍了SIMD矢量处理器在FPGA上的设计与实现,该处理器由4个并行通道(处理单元pe)组成,每个通道同时独立工作,每个通道都有自己的算术单元,矢量寄存器文件代表主分布式寄存器文件的一部分,并有一个本地存储器用于存储该通道的执行结果。车道的本地存储器相互连接,通过互连网络交换它们的内容,这些互连网络可以通过配置软件来给出静态互连网络的特定拓扑,如(Mesh, Star,…等),这些车道和它们的存储器充当SIMD矢量处理器的矢量部分。为了完成矢量通道无法处理的标量指令,还设计并附加了标量处理器,该处理器还具有标量寄存器文件和一组算术单元。
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引用次数: 5
期刊
International Symposium on Innovations in Information and Communications Technology
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