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2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)最新文献

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Text Analysis on User Generated Content: The Rap Lyrics Challenge 用户生成内容的文本分析:说唱歌词挑战
Alessandro Maisto, Serena Pelosi, R. Guarasci, Pierluigi Vitale
This research proposes a hybrid approach that uses User Generated Contents as a corpus in order to create a multi-level resource, by combining linguistic, statistics and semantic data. The tool we create overcomes the lack of domain resources and provides a distant reading of one of the most significant cultural and linguistic phenomenon in recent years. We take advantage of techniques from Web Mining, Computational Linguistics and Information Design with the aim to make a large amount of extremely sparse data more accessible and understandable.
本研究提出了一种混合方法,将用户生成内容作为语料库,通过结合语言、统计和语义数据来创建多层次的资源。我们创建的工具克服了领域资源的缺乏,并提供了近年来最重要的文化和语言现象之一的远程阅读。我们利用Web挖掘、计算语言学和信息设计的技术,旨在使大量极其稀疏的数据更易于访问和理解。
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引用次数: 1
TBEENISH: Threshold Balanced Energy Efficient Network Integrated Super Heterogeneous Protocol for WSNs 阈值均衡节能网络集成超异构无线传感器网络协议
Aqdas Naz, N. Javaid, M. Iqbal, Mujahid Ali, M. Imran, Z. Khan
Number of wireless sensing device protocols have been introduced in last decade due to enhancement in automation of battle field and other commercial applications. Main focus was to improve power efficiency and life span of the network to ensure smooth communication across the network. Protocols for heterogeneous networks have been mainly working on power level quantization. TBEENISH protocol will improve threshold criteria to elect cluster head for improving life span as well as it will also present complete visibility of sensing device. Life time of complete network which has never been shown by researchers previously. Which helps to devise more effective protocols to decrease latency and increase fault tolerance.
在过去的十年中,由于战场自动化和其他商业应用的增强,引入了许多无线传感设备协议。主要重点是提高网络的功率效率和寿命,以确保整个网络的顺畅通信。异构网络协议主要致力于功率级量化。TBEENISH协议将改进选择簇头的阈值标准,以提高簇头的寿命,并提供传感设备的完全可见性。完整网络的寿命,这是前人从未研究过的。这有助于设计更有效的协议来减少延迟和提高容错性。
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引用次数: 1
How Modeling QoE Requirements Using Game Theory 如何用博弈论建模QoE需求
T. Abar, Asma BEN LETAIFA, S. E. Asmi
In the 2000s, networks were increasingly used to provide multimedia content to a wide audience that are based on HTTP. Streaming based mainly on standard UDP protocol becomes unable to meet the growing needs of users. So a novel concept that evolved widely at the international level in 2007 was introduced: adaptive streaming based on HTTP that make us it possible to use the video playback application present on the terminal to supervise the downloading speed and to ask for packets of variable quality by adapting automatically to the conditions of the available network. DASH, Dynamic Adaptive Streaming over HTTP, is the latest standard for adaptive streaming of video. This technique introduces an additional level of complexity for measuring perceived video quality, as it varies the video bit rate. In this work we try to introduce the principle of DASH with the intelligence and automation of SDN networks to improve streaming video experience quality which is the main goal of all service providers. In this article we model the game between SDN, DASH and user opinion using a Game theory, at the end we make a small analysis of the effect of DASH on the quality of experience.
在2000年代,网络越来越多地用于向基于HTTP的广泛受众提供多媒体内容。主要基于标准UDP协议的流媒体已经无法满足用户日益增长的需求。因此,2007年在国际上广泛发展的一个新概念被引入:基于HTTP的自适应流媒体,它使我们能够使用终端上的视频播放应用程序来监督下载速度,并通过自动适应可用网络的条件来请求可变质量的数据包。DASH, HTTP动态自适应流,是自适应视频流的最新标准。这种技术为测量感知视频质量带来了额外的复杂性,因为它改变了视频比特率。在这项工作中,我们尝试将DASH原理与SDN网络的智能化和自动化相结合,以提高流媒体视频体验质量,这是所有服务提供商的主要目标。本文运用博弈论建立了SDN、DASH和用户意见三者之间的博弈模型,并对DASH对用户体验质量的影响进行了分析。
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引用次数: 3
Real-Time Face Detection Using a Moving Camera 使用移动摄像机进行实时人脸检测
Deng-Yuan Huang, Chao-Ho Chen, Tsong-Yi Chen, Jian-He Wu, C. Ko
This paper presents a real-time face detection system using a moving camera. The proposed system consists of three modules, including (1) detection of face candidates: Face candidates are generated using the information of skin color, edges, and face area, (2) verification of face candidates: HOG (Histogram of Oriented Gradient) features are generated from face candidates and a two-class C-SVM (Support Vector Machine) classifier with pretrained face samples is employed to determine whether face candidates are real faces or not, (3) face tracking: Overlapping area of two face targets in current and previous frames is estimated to determine whether the tracking will be continuous or not. By use of estimation of face size, the proposed method can avoid a huge amount of computation time that is required by a point-by-point scanning way in conventional methods. Moreover, the accuracy of the face detection can be improved greatly. The proposed system can successfully detect most faces of the crowds in open space, which is beneficial for quickly searching the specified persons to prevent the occurrence of possible criminal events.
本文介绍了一种基于移动摄像机的实时人脸检测系统。该系统由三个模块组成,包括:(1)候选人脸检测:利用肤色、边缘和面部面积信息生成候选人脸;(2)候选人脸验证:从候选人脸中生成HOG (Histogram of Oriented Gradient)特征,并使用预训练的人脸样本进行两类C-SVM(支持向量机)分类器判断候选人脸是否为真实人脸;估计当前帧和前一帧中两个人脸目标的重叠区域,以确定跟踪是否连续。该方法利用人脸尺寸的估计,避免了传统逐点扫描方法所需要的大量计算时间。此外,还可以大大提高人脸检测的准确性。该系统能够成功地检测出开放空间中大多数人群的人脸,有利于快速搜索指定人员,防止可能发生的犯罪事件的发生。
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引用次数: 10
Coordination Pattern-Based Approach for Auto-Scaling in Multi-clouds 基于协调模式的多云自动缩放方法
E. Kühn, Stefan Craß
Today, cloud providers cover a huge variety of optimized offers. Many of them are similar, but in detail there exist subtle differences. An example is the automatic scaleout of computing resources if the traffic increases, in order to achieve high availability and fault tolerance. The cloud also supports scaling-in if the load falls again, in order to save costs. The paper aims to abstract such offerings in form of coordination patterns that capture the functional and nonfunctional semantics of the required services in a cloud-agnostic way. Concrete pattern solutions can be deployed on any cloud that provides the respective services, and also be run using a platform-independent middleware.
今天,云提供商提供了各种各样的优化服务。它们中有许多相似之处,但在细节上却存在着细微的差别。例如,在流量增加时自动扩展计算资源,以实现高可用性和容错性。云还支持在负载再次下降时进行扩展,以节省成本。本文旨在以协调模式的形式对这些产品进行抽象,以一种与云无关的方式捕获所需服务的功能和非功能语义。具体的模式解决方案可以部署在任何提供相应服务的云上,也可以使用独立于平台的中间件运行。
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引用次数: 0
An Intelligent Car Park Management System : Hierarchical Placement Algorithm Based on Nearest Location 智能停车场管理系统:基于最近位置的分层布局算法
Burak Kizilkaya, M. Çağlar, F. Al-turjman, E. Ever
Finding a parking spot can become quite stressful especially for the cases where the final destination of the journey is not well known and the parking region is rather complicated with large numbers of spots. Identification of a suitable parking spot can also be considered as an expensive process since it often causes an increase of vehicle traffic which in turn causes a consequent increase of pollution. In this paper, we present a hierarchical approach that helps users to reach a free parking spot easily, in a small area or a city. This solution introduces an approach which makes searching process in car parking applications efficient in terms of time and energy. It introduces two levels of hierarchy to make placement process more efficient. In the first level, algorithm only checks for the nearest car park. At the second level, algorithm focuses on the car park that is the nearest and checks the nearest parking spot in that car park. Using this hierarchical approach, search for an empty spot becomes more time efficient. Simulation results are presented in this study to show the efficiency of the proposed hierarchical approach. Both hierarchical and non-hierarchical approaches are employed for the same scenario in order to show the effectiveness of the new approach. According to simulation results, hierarchical approach is more efficient in terms of search time and energy. Briefly, we investigate how hierarchical approach affects the search algorithms used for car parking applications.
寻找一个停车位可能会变得相当有压力,特别是在旅程的最终目的地不太清楚,停车区域相当复杂,停车位很多的情况下。确定一个合适的停车位也可以被认为是一个昂贵的过程,因为它经常导致车辆流量的增加,从而导致污染的增加。在本文中,我们提出了一种分层方法,可以帮助用户在小区域或城市中轻松到达免费停车位。该解决方案引入了一种在时间和精力上有效提高停车应用搜索过程的方法。它引入了两个层次结构,使安置过程更有效。在第一层,算法只检查最近的停车场。在第二层,算法关注最近的停车场,并检查该停车场中最近的停车位。使用这种分层方法,搜索空位置变得更加省时。仿真结果表明了该方法的有效性。为了显示新方法的有效性,对同一场景采用了分层和非分层方法。仿真结果表明,分层方法在搜索时间和搜索能量方面具有更高的效率。简而言之,我们研究了分层方法如何影响用于停车应用的搜索算法。
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引用次数: 9
Design of a Small Metamtrial Antenna for Millimetric Wave Applications 用于毫米波应用的小型元天线设计
Bouthaina Smari, M. Labidi, F. Choubani
In this paper, a new design for metamaterial antennas is developed. For this purpose, metamaterial resonant antennas with a mushroom structure based on the zeroth order resonant characteristic of a composite right/lefthanded transmission line (CRLH TL) are investigated. The electromagnetic behavior of this structure is studied, and analytical equivalent-circuit model is proposed. The antenna is proposed for 28 GHz which can be applied for resonance-based millimeter wave circuits. The simulation results show that the antenna has small size and a good bandwidth with range from 27.05 to 28.25 GHz for return loss S11 less than -10 dB. The overall dimension of the antenna is 20.0*22.0*1.6 mm3 including the antenna substrate.
本文提出了一种新的超材料天线设计方案。为此,研究了基于复合左/右传输线零阶谐振特性的蘑菇结构超材料谐振天线。研究了该结构的电磁特性,提出了解析等效电路模型。该天线的工作频率为28ghz,可用于基于共振的毫米波电路。仿真结果表明,该天线体积小,带宽范围为27.05 ~ 28.25 GHz,回波损耗S11小于-10 dB。天线的外形尺寸为20.0*22.0*1.6 mm3(含天线基板)。
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引用次数: 0
Towards a Secured Clustering Mechanism for Messages Exchange in VANET VANET中消息交换的安全集群机制研究
Amira Kchaou, Ryma Abassi, S. Fatmi
Vehicular Ad-hoc Networks (VANETs) allow communication among vehicles using some fixed equipment on roads. Vehicles share different kinds of information to improve road safety and provide travelers comfort using exchanged messages. However, falsified or modified messages can be propagated which affect the performance of the whole network and cause dangerous situations in roads such as accident, collision, traffic congestion, etc. In order to ensure security communication between vehicles, trust management can be used. Trust is a security concept used to build confident relations between vehicles. Hence, we propose a secure clustering mechanism for messages exchange in VANET. The main contributions provided by this paper concerns the clusters setting up based on vehicles velocity and then the cluster head computes the credibility of message based on the reputation of vehicles.
车辆自组织网络(vanet)允许在道路上使用一些固定设备的车辆之间进行通信。车辆共享不同类型的信息,以提高道路安全,并通过交换信息为旅行者提供舒适。然而,伪造或修改的消息可能会传播,影响整个网络的性能,并在道路上造成事故、碰撞、交通拥堵等危险情况。为了保证车辆之间的安全通信,可以使用信任管理。信任是一种安全概念,用于在车辆之间建立信任关系。因此,我们提出了一种用于VANET消息交换的安全集群机制。本文的主要贡献是基于车辆速度建立集群,然后集群头根据车辆的声誉计算消息的可信度。
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引用次数: 19
Open Information Extraction for Italian Sentences 意大利语句子的开放式信息提取
Emanuele Damiano, A. Minutolo, M. Esposito
Extracting information from text corpora is the first step for machines to understand and summarize vast quantities of text that are available in both scientific and more general knowledge repositories. Open Information Extraction (OIE) is a recent unsupervised strategy to extract huge amounts of propositions from massive unstructured data. Most of the existing OIE approaches so far has been focused on English, with only some recent attempts for other languages. Although Italian is a major European language, to the best of our knowledge, no significant research has been conducted in Italian OIE yet. This paper is intended to fill this knowledge gap and presents ItalIE, an Italian OIE system aimed at extracting n-ary propositions from simple sentences made by single clauses. Single clauses are detected in the input sentences and classified with respect to seven patterns defined for the Italian language by exploiting linguistic information from dependency parsing and Italian lexica of verb types. Depending on these patterns, minimal clauses are extracted and, on the top of them, further propositions are generated by opportunely adding optional complements and adverbials. An experimental study is performed on a dataset of 240 simple sentences in Italian, showing a good effectiveness of the system in determining correct clause types and extracting coherent propositions.
从文本语料库中提取信息是机器理解和总结科学知识库和更一般知识库中可用的大量文本的第一步。开放信息抽取(OIE)是从海量非结构化数据中抽取海量命题的一种新出现的无监督策略。到目前为止,世界动物卫生组织现有的大多数方法都集中在英语上,最近才有一些针对其他语言的尝试。尽管意大利语是欧洲的主要语言,但据我们所知,目前还没有针对意大利语的OIE进行过重大研究。本文旨在填补这一知识空白,并提出了ItalIE,这是一个意大利OIE系统,旨在从单个子句构成的简单句子中提取n元命题。在输入句子中检测到单个子句,并利用依赖句法分析和意大利语动词类型词典中的语言信息,根据为意大利语定义的七种模式进行分类。根据这些模式,提取最小的子句,并在它们之上,通过适当地添加可选的补语和状语来生成进一步的命题。在240个意大利语简单句的数据集上进行了实验研究,结果表明该系统在确定正确的子句类型和提取连贯命题方面具有良好的有效性。
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引用次数: 5
Toward an Improvement of UAV-Aerial Image Using Non-linear Image Enhancement 利用非线性图像增强技术改进无人机航拍图像
Lung-Jen Wang, W. Hsieh
Unmanned aerial vehicle (UAV)-vision applications are increasingly widespread in recent years, however, the UAV-aerial image causes a blurred condition because there is no power in the high-frequency component of aerial image. To improve the quality of such a blurred image, the image enhancement is an indispensable post-processing method. In this paper, the opportunity cost can be used to improve the non-linear image enhancement method for the UAV blurred image. In addition, a modified non-linear image enhancement scheme by cubic splines and opportunity cost will be proposed. The different non-linear image enhancement methods such as Gaussian-Pyramid and FSD-Pyramid are also compared with the proposed enhancement method.
近年来,无人机视觉的应用日益广泛,然而,由于无人机图像的高频成分没有功率,导致其图像模糊。为了提高这种模糊图像的质量,图像增强是一种不可缺少的后处理方法。本文利用机会成本对无人机模糊图像的非线性图像增强方法进行改进。此外,还提出了一种改进的三次样条和机会成本的非线性图像增强方案。对不同的非线性图像增强方法,如高斯金字塔和fsd -金字塔进行了比较。
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引用次数: 3
期刊
2018 32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA)
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