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2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)最新文献

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Reliable web services approaches of Mobile Cloud Computing: A comparative study 移动云计算的可靠web服务方法:比较研究
Amr S. Abdelfattah, T. Abdelkader, El-Sayed M. El-Horbaty
The Mobile intermittent wireless connectivity limits the evolution of the mobile landscape, such that this progress coupled with the ubiquitous nature of the Internet and the web services. The web service Reliability achieves the low overhead communication and retrieves the appropriate state response from the web service consumption. This paper discusses and analyzes the most recent approaches that achieve the reliability of web services consumed by mobile devices. Achieving the reliable web service consumption is tended to two approaches: Middleware approach and Mobile Agent (MA) approach. Both of them focus on ensuring the request execution under the communication limitations and services temporary unavailability.
移动断断续续的无线连接限制了移动领域的发展,使得这种发展与无处不在的互联网和网络服务相结合。web服务可靠性实现了低开销的通信,并从web服务消费中检索适当的状态响应。本文讨论并分析了实现移动设备所使用的web服务可靠性的最新方法。实现可靠的web服务消费倾向于两种方法:中间件方法和移动代理(MA)方法。它们都关注在通信限制和服务暂时不可用的情况下,保证请求的执行。
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引用次数: 1
Analysis of the relationship between Saudi twitter posts and the Saudi stock market 分析沙特twitter帖子与沙特股市之间的关系
Hamed Al-Rubaiee, Renxi Qiu, Dayou Li
Sentiment analysis has become the heart of social media research and many studies have been applied to obtain users' opinion in fields such as electronic commerce and trade, management and also regarding political figures. Social media has recently become a rich resource in mining user sentiments. Social opinion has been analysed using sentiment analysis and some studies show that sentiment analysis of news, documents, quarterly reports, and blogs can be used as part of trading strategies. In this paper, Twitter has been chosen as a platform for opinion mining in trading strategy with the Saudi stock market in order to carry out and illustrate the relationship between Saudi tweets (that is standard and Arabian Gulf dialects) and the Saudi market index. To the best of our knowledge, this is the first study performed on Saudi tweets and the Saudi stock market.
情感分析已经成为社交媒体研究的核心,在电子商务和贸易、管理以及政治人物等领域,许多研究都被应用于获取用户的意见。社交媒体最近成为挖掘用户情感的丰富资源。社会舆论已经使用情绪分析进行分析,一些研究表明,新闻,文件,季度报告和博客的情绪分析可以用作交易策略的一部分。在本文中,选择Twitter作为与沙特股票市场交易策略的意见挖掘平台,以执行和说明沙特推文(即标准和阿拉伯海湾方言)与沙特市场指数之间的关系。据我们所知,这是第一次对沙特的推文和沙特股市进行研究。
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引用次数: 25
New trends of resource provisioning in multi-tier Cloud computing 多层云计算中资源配置的新趋势
Marwah Hashim Eawna, Salma Hamdy, El-Sayed M. El-Horbaty
Cloud Computing is an emerging trend in the outsourced information technology (OIT) and provides a lot of functions as services. However, it suffers from many challenges such as resource provisioning, integrity, federation, and security. This paper focuses on the major problem, resource provisioning, that explored by many companies and researchers as a critical problem. Such researches are attempted to find method that minimizes provisioning time and reduces the number of resources in the cloud environment. Consequently, this paper proposes a dynamic resources provisioning algorithm by using Artificial Bees Colony (ABC) and Ant Colony Optimization (ACO) and focus on time optimization in multi-tier clouds. Accordingly, the obtained results show that the ACO faster than other meta-heuristic algorithm such as ABC, Particle Swarm Optimization (PSO), Simulated Annealing (SA) and hybrid Particle Swarm Optimization-Simulated Annealing (PSO-SA).
云计算是外包信息技术(OIT)的一个新兴趋势,它以服务的形式提供了许多功能。然而,它面临着许多挑战,例如资源供应、完整性、联合和安全性。本文重点讨论了许多公司和研究人员都在探讨的一个关键问题——资源配置问题。这些研究试图找到最小化配置时间和减少云环境中资源数量的方法。为此,本文提出了一种基于人工蜂群(Artificial Bees Colony, ABC)和蚁群算法(Ant Colony Optimization, ACO)的动态资源分配算法,并重点研究了多层云环境下的时间优化问题。结果表明,蚁群优化算法比ABC、粒子群优化算法(PSO)、模拟退火算法(SA)和粒子群优化-模拟退火混合算法(PSO-SA)的求解速度更快。
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引用次数: 1
Review on trajectory similarity measures 轨迹相似性测度综述
Nehal Magdy, M. Sakr, T. Mostafa, Khaled El-Bahnasy
The availability of devices that can be used to track moving objects has increased dramatically leading to a great growth in movement data from almost every application domain. Therefore, there has been an increasing interest in proposing new methodologies for indexing, classifying, clustering, querying and measuring similarity between moving objects' data. One of the main functions for a wide range of application domains is to measure the similarity between two moving objects' trajectories. In this paper, we present a comparative study between widely used trajectory similarity measures observing the advantages and disadvantages of these measures.
可用于跟踪移动对象的设备的可用性急剧增加,导致几乎每个应用领域的移动数据都有很大的增长。因此,人们对提出索引、分类、聚类、查询和测量移动对象数据之间相似性的新方法越来越感兴趣。在广泛的应用领域中,测量两个运动物体轨迹之间的相似性是主要功能之一。在本文中,我们对广泛使用的轨迹相似度量进行了比较研究,观察了这些度量的优缺点。
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引用次数: 68
A novel adaptive learning management system using ontology 一种基于本体的自适应学习管理系统
S. M. Nafea, L. Maglaras, F. Siewe, M. E. Shehab
The success of web technologies has prompted a developing consideration on e-learning activities. Notwithstanding, most current e-Learning systems give static web-based learning with the goal that learners get to the same learning contents through the web, regardless of individual learners profiles. These learners may have altogether different learning foundations, information levels, learning styles, and capacities. The `one size fit all' in an e-Learning frameworks is unmistakably a commonplace issue. To defeat this impediment and build powerful learning, versatile and customized learning is as of now a dynamic examination range. This paper propose a novel approach for designing and implementing adaptive learning management system based on ontology and semantic web technologies by offering a tailored model which represents the different activities that should be completed by learner. It offers a framework that is based on both learning styles and ontology to address the impact of student behavior.
网络技术的成功促使人们对电子学习活动的思考不断发展。尽管如此,大多数当前的电子学习系统提供静态的基于网络的学习,其目标是学习者通过网络获得相同的学习内容,而不考虑个人学习者的概况。这些学习者可能有完全不同的学习基础、信息水平、学习风格和能力。电子学习框架中的“一刀切”无疑是一个老生常谈的问题。为了克服这一障碍,建立强大的学习,多功能和定制学习是目前一个动态的考试范围。本文提出了一种基于本体和语义web技术的自适应学习管理系统设计与实现的新方法,该方法通过定制模型来表示学习者应该完成的不同活动。它提供了一个基于学习风格和本体的框架来解决学生行为的影响。
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引用次数: 5
XML summarization: A survey XML摘要:一项调查
H. ElMadany, Marco Alfonse, M. Aref
eXtensible Markup Language (XML) is one of the standard data representation nowadays. It can be used in various applications as its flexibility and easy to use so the need to summarize XML document become increasingly an important topic to save time and cost. For these reasons, there are more interest for developing tools for summarizing XML Documents. This paper surveys different approaches for summarizing XML documents regarding to both its structure and content.
可扩展标记语言(XML)是当今标准的数据表示形式之一。由于其灵活性和易用性,它可以用于各种应用程序中,因此需要对XML文档进行摘要以节省时间和成本越来越成为一个重要的主题。由于这些原因,人们对开发用于总结XML文档的工具更感兴趣。本文从结构和内容两方面考察了总结XML文档的不同方法。
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引用次数: 3
The semantic analysis method and algorithms of open tests answers on “cyber-2” pattern in the knowledge revival and evaluation systems 知识复兴与评价系统中“cyber-2”模式开放测试答案的语义分析方法与算法
Zurab Munjishvili, T. Munjishvili
Is given the identification and assessment of knowledge in the computer systems in scientific terms it is one of the interesting and in practical terms, the topical - The open type tests processing value. In the open-type tests the semantic analysis method and algorithms are written in natural language. Are introduces a semantic analyzer results. Semantic Analyzer represents by the author, designed to identify knowledge and one of the functional unit evaluation system of “cyber2”. The findings and recommendations are also given. In the programming package there are considered diagnosis, different kinds of help. Attention is paid on security problems. Program is written on VB.NET 2010, as a server is used SQL Server 2008 on the platform of Windows Server 2008.
在计算机系统中给出了识别和评价的知识,从科学的角度来说,它是一个有趣而又实用的课题——开放式试验的处理价值。在开放式测试中,语义分析方法和算法用自然语言编写。是介绍一个语义分析器的结果。以作者为代表的语义分析器,设计用于“cyber2”的知识识别和功能单元评价系统之一。本文还给出了研究结果和建议。在编程包中有考虑诊断,不同种类的帮助。关注安全问题。程序是用VB编写的。NET 2010作为服务器,在Windows server 2008平台下采用SQL server 2008。
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引用次数: 15
LTE Authentication Protocol (EPS-AKA) weaknesses solution LTE认证协议(EPS-AKA)弱点解决方案
Mohammed Abdrabou, A. Elbayoumy, Essam Abd El-Wanis
Extensible Authentication Protocol (EAP) is an authentication framework in Long Term Evolution (LTE) networks. EAP-AKA is one of the methods of EAP which uses the Authentication and Key Agreement (AKA) mechanism based on challenge-response mechanisms, EAP-AKA is used in the 3rd generation mobile networks then modified and inherited to 4th generation mobile networks (LTE) as Evolved Packet System Authentication and Key Agreement (EPS-AKA) mechanism which is used when the user access the network through EUTRAN. EPS-AKA vulnerabilities are disclosure of the user identity, Man in the Middle attack and Denial of Services (DoS) attacks so a robust authentication mechanism must replace EPSAKA to avoid such attacks. In this paper, Modified Evolved Packet System Authentication and Key Agreement (MEPS-AKA) protocol based on Simple Password Exponential Key Exchange (SPEKE) and symmetric key cryptography is proposed to solve these problems by performing a pre-authentication procedure to generate a dynamic key every time user access to the network, also each message send or received is confidentially protected. Scyther tool is used to verify the efficiency of the proposed protocol. EPS-AKA and MEPS-AKA are simulated using C programming language to calculate the execution time for both algorithms. The proposed protocol is simulated using a client-server application program using C# programming language.
EAP (Extensible Authentication Protocol)是LTE (Long Term Evolution)网络中的一种认证框架。EAP-AKA是基于挑战-响应机制的认证和密钥协议(AKA)机制的EAP方法之一,EAP-AKA用于第三代移动网络,然后修改并继承到第四代移动网络(LTE)作为演进分组系统认证和密钥协议(EPS-AKA)机制,当用户通过EUTRAN访问网络时使用。EPS-AKA漏洞是用户身份泄露、中间人攻击和拒绝服务(DoS)攻击,因此必须有一个强大的身份验证机制取代EPSAKA来避免此类攻击。为了解决这些问题,本文提出了基于简单密码指数密钥交换(SPEKE)和对称密钥加密的改进进化分组系统认证与密钥协议(MEPS-AKA)协议,该协议在用户每次访问网络时执行预认证程序生成动态密钥,并对发送或接收的每条消息进行保密保护。使用Scyther工具验证了所提出协议的有效性。用C语言对EPS-AKA和MEPS-AKA进行了仿真,计算了两种算法的执行时间。采用c#编程语言,用客户端-服务器应用程序对所提出的协议进行了仿真。
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引用次数: 34
A preprocessing method for printed Tamil documents: Skew correction and textual classification 泰米尔语打印文档的预处理方法:偏斜校正和文本分类
M. Ramanan, A. Ramanan, E. Charles
An Optical character recognition (OCR) consists of the phases: preprocessing and segmentation, feature extraction, classification and post-processing. This paper focuses on preprocessing and segmentation tasks which plays a major role in the subsequent processes of an OCR. The objective of preprocessing and segmentation is to improve the quality of the input image. In addition this phase removes unnecessary portions of the input image that would otherwise complicate the subsequent steps of OCR and reduce the overall recognition rate. Preprocessing and segmentation step consists many sub processes namely, image binarisation, noise removal, skew detection and correction, page segmentation, text or non-text classification, line segmentation, word segmentation and character segmentation. This paper proposes a new method to calculate the skew angle for skew correction. In addition this paper proposes a more accurate method to segment the input image as blocks and classify the blocks as text or non-text. The skew angle is calculated on the scanned document using Wiener filter, smearing technique and Radon transform. Document image is segmented into blocks using run length smearing algorithm and connected component analysis. Features such as basic, density and HOG are extracted from each block for text and non-text classification. The proposed methods are tested on 54 documents. The testing results show a recognition rate of 96.30% for skew detection and correction whereas the recognition rate is 99.18% for text or non-text classification with binary SVMs using RBF kernel.
光学字符识别(OCR)包括预处理和分割、特征提取、分类和后处理四个阶段。本文重点研究了在OCR后续处理中起主要作用的预处理和分割任务。预处理和分割的目的是为了提高输入图像的质量。此外,这一阶段删除了输入图像中不必要的部分,否则这些部分会使OCR的后续步骤复杂化并降低整体识别率。预处理和分割步骤包括许多子过程,即图像二值化,去噪,倾斜检测和校正,页面分割,文本或非文本分类,线分割,词分割和字符分割。本文提出了一种新的倾斜角度计算方法,用于倾斜校正。此外,本文还提出了一种更准确的方法,将输入图像分割为块,并将块分类为文本或非文本。利用维纳滤波、涂抹技术和Radon变换对扫描文档进行倾斜角度计算。采用行程涂抹算法和连通分量分析对文档图像进行分割。从每个块中提取基本特征、密度特征和HOG特征,用于文本和非文本分类。在54个文档上对所提出的方法进行了测试。测试结果表明,基于RBF核的二值支持向量机对文本和非文本分类的识别率为99.18%,而对歪斜检测和校正的识别率为96.30%。
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引用次数: 8
Perspectives on M2M protocols M2M协议的观点
Mohamed H. Elgazzar
In the last years, the Machine-to-Machine (M2M) communications evolved as one of the major trends shaping the development of services in the future Internet. The use of M2M technologies is rapidly increasing in different fields such as Health Care, Automotive, Energy, Consumer Electronics, manufacturing, security and Banking. With that rapid increase different protocols had been developed for M2M communications and device management such as CoAP, MQTT and LwM2M. The objective of the paper is to provide synopsis of the different M2M protocols. The paper discusses the pros and cons of each of the protocols and identify their open problems. Up to our knowledge, it is the first study to provide such comparison between the different M2M protocol. The comparison is based on supported functions, network overhead, network reliability and security beside highlighting the different protocol architectures. The paper works as a start point for producing efficient M2M protocols.
在过去的几年中,机器对机器(M2M)通信发展成为塑造未来互联网服务发展的主要趋势之一。M2M技术在医疗保健、汽车、能源、消费电子、制造、安全和银行等不同领域的应用正在迅速增加。随着这种快速增长,为M2M通信和设备管理开发了不同的协议,如CoAP、MQTT和LwM2M。本文的目的是提供不同的M2M协议的概要。本文讨论了每种协议的优缺点,并确定了它们存在的问题。据我们所知,这是第一个在不同的M2M协议之间提供这种比较的研究。除了突出不同的协议架构外,还基于支持的功能、网络开销、网络可靠性和安全性进行比较。本文作为生成高效M2M协议的起点。
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引用次数: 13
期刊
2015 IEEE Seventh International Conference on Intelligent Computing and Information Systems (ICICIS)
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