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2014 28th International Conference on Advanced Information Networking and Applications Workshops最新文献

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Intelligent Evaluation Models Based on the Single-Hop Protocol in Wireless Sensor Networks 基于单跳协议的无线传感器网络智能评估模型
Ning Cao, R. Higgs, G. O’hare
This paper aims to introduce some key parameters for the tracking application in wireless sensor networks. In this work the Single-hop protocol with J-Sim simulation tool has been implemented, and consequently some useful trade-off analysis results among the density, coverage, reliability and lifetime have been obtained. Based on these results, two intelligent evaluation models are proposed in this paper.
本文旨在介绍无线传感器网络中跟踪应用的一些关键参数。本文利用J-Sim仿真工具实现了单跳协议,得到了密度、覆盖、可靠性和寿命之间的权衡分析结果。在此基础上,提出了两种智能评价模型。
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引用次数: 3
A Smart Environment and Heuristic Diagnostic Teaching Principle-Based System for Supporting Children with Autism during Learning 基于智能环境和启发式诊断教学原则的自闭症儿童学习支持系统
A. Sula, Evjola Spaho, Keita Matsuo, L. Barolli, Rozeta Miho, F. Xhafa
In this paper, we propose the use of the smart environment based on Internet of Things (IoT), P2P technology and Heuristic Diagnostic Teaching (HDT) principles for identifying learning abilities in mathematics and creative traits for students that are diagnosed within Autism Spectrum disorder (ASD). Our new system is combined with various visual systems, such as objects, photographs, pictures, realistic drawings, line drawings, and written words, and can be used with assorted modes of technology, as long as the child can readily comprehend the visual representation. We propose to use different assessment tools to learn about students' ability in math. Vocabulary skills, mathematics skills and other life skills can be taught through our proposed system.
在本文中,我们建议使用基于物联网(IoT), P2P技术和启发式诊断教学(HDT)原则的智能环境来识别自闭症谱系障碍(ASD)学生的数学学习能力和创造性特征。我们的新系统结合了各种视觉系统,如物体、照片、图片、实景画、线条画和文字,可以与各种技术模式一起使用,只要孩子能轻易地理解视觉表现。我们建议使用不同的评估工具来了解学生的数学能力。词汇技能、数学技能和其他生活技能可以通过我们提出的系统来教授。
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引用次数: 13
Augmented Reality Based Smart City Services Using Secure IoT Infrastructure 使用安全物联网基础设施的基于增强现实的智慧城市服务
B. Pokric, S. Krco, Maja Pokric
This paper presents an application of Augmented Reality (AR) within a smart city service to be deployed in the domain of public transport in the city of Novi Sad in Serbia. The described solution is focused on providing a simple and efficient method to citizens for accessing important information such as bus arrival times, bus routes and tourist landmarks using smart phones and AR technology. The AR information is triggered by image and geo-location markers and the data is provided via secure IoT infrastructure. The IoT infrastructure is based on bus-mounted IoT devices which utilize secure CoAP software protocol to transmit the data to the associated cloud servers. Description of the complete end-to-end solution is presented, providing the overall system set-up, user experience aspects and the security of the overall system, focusing on the lightweight encryption used within the low-powered IoT devices.
本文介绍了增强现实(AR)在智慧城市服务中的应用,该服务将部署在塞尔维亚诺维萨德市的公共交通领域。所描述的解决方案的重点是为市民提供一种简单有效的方法,通过智能手机和AR技术获取公交车到达时间、公交路线和旅游地标等重要信息。增强现实信息由图像和地理位置标记触发,数据通过安全的物联网基础设施提供。物联网基础设施基于总线安装的物联网设备,这些设备利用安全的CoAP软件协议将数据传输到相关的云服务器。介绍了完整的端到端解决方案,提供了整体系统设置,用户体验方面和整体系统的安全性,重点是在低功耗物联网设备中使用的轻量级加密。
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引用次数: 47
Instant Channel Allocation Technique to Improve System Throughput in Joint LTE Cellular Network 联合LTE蜂窝网络中提高系统吞吐量的即时信道分配技术
Shahadate Rezvy, S. Rahman, A. Lasebae, J. Loo
Femtocells can be easily deployed in macrocell LTE network without requiring a centralized planning to provide high data rate connectivity with a limited coverage. Femtocell is low-power, very small and cost effective cellular based station used in indoor environment. Femtocell and Macrocell share same frequency band which cause destructive interference. In order to maintain reliable service of macro-cells, it is most important to mitigate destructive femto to macro interference. Frequency Reuse (FR) is an effort of manipulating the frequency resource allocation upon terminal's location to improve system throughput. In this paper, an efficient method to improve system capacity through interference management in the existing Femto-Macro two tier networks has been proposed. In the proposed scheme, femtocell user will be allocated frequency instantly as it is required. This will also improve system throughput which will effectively control interference between macrocells and femtocells.
Femtocells可以很容易地部署在macrocell LTE网络中,而不需要集中规划来提供覆盖范围有限的高数据速率连接。Femtocell是一种用于室内环境的低功耗、非常小且具有成本效益的蜂窝基站。Femtocell和Macrocell共用同一频段,会产生相消干扰。为了保证宏蜂窝的可靠服务,减小对宏蜂窝的破坏性干扰是至关重要的。频率复用(Frequency Reuse, FR)是一种根据终端位置调整频率资源分配以提高系统吞吐量的方法。本文提出了一种在现有的Femto-Macro两层网络中通过干扰管理来提高系统容量的有效方法。在该方案中,femtocell用户将根据需要立即分配频率。这也将提高系统吞吐量,从而有效地控制宏基站和飞基站之间的干扰。
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引用次数: 5
Semantic Properties of Customer Sentiment in Tweets 推文中顾客情感的语义属性
E. Ko, D. Klabjan
An increasing number of people are using online social networking services (SNSs), and a significant amount of information related to experiences in consumption is shared in this new media form. Text mining is an emerging technique for mining useful information from the web. We aim at discovering in particular tweets semantic patterns in consumers' discussions on social media. Specifically, the purposes of this study are twofold: 1) finding similarity and dissimilarity between two sets of textual documents that include consumers' sentiment polarities, two forms of positive vs. negative opinions and 2) driving actual content from the textual data that has a semantic trend. The considered tweets include consumers' opinions on US retail companies (e.g., Amazon, Walmart). Cosine similarity and K-means clustering methods are used to achieve the former goal, and Latent Dirichlet Allocation (LDA), a popular topic modeling algorithm, is used for the latter purpose. This is the first study which discover semantic properties of textual data in consumption context beyond sentiment analysis. In addition to major findings, we apply LDA (Latent Dirichlet Allocations) to the same data and drew latent topics that represent consumers' positive opinions and negative opinions on social media.
越来越多的人使用在线社交网络服务(sns),大量与消费体验相关的信息通过这种新媒体形式分享。文本挖掘是一种新兴的从网络中挖掘有用信息的技术。我们的目标是发现消费者在社交媒体上讨论的特定tweet的语义模式。具体来说,本研究的目的有两个:1)发现两组文本文档之间的相似性和差异性,包括消费者的情绪两极,两种形式的积极与消极意见;2)从具有语义趋势的文本数据中驱动实际内容。被考虑的推文包括消费者对美国零售公司(如亚马逊、沃尔玛)的看法。使用余弦相似度和K-means聚类方法实现前者的目标,使用流行的主题建模算法Latent Dirichlet Allocation (LDA)实现后者的目标。这是首次在情感分析之外发现消费语境中文本数据的语义属性的研究。除了主要发现之外,我们还对相同的数据应用了LDA (Latent Dirichlet allocation),并绘制了代表消费者在社交媒体上的积极意见和消极意见的潜在主题。
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引用次数: 10
A Database Selection Method for Cherry Blossom Movies Based on Changing Trend of Color Frequency 基于色频变化趋势的樱花电影数据库选择方法
Masato Kasahara, Shu Li, Kosuke Takano
In this paper, we propose a database selection method for cherry blossom movie databases constructed on the assumption that large amounts of movie data on different observation locations are constantly stored into the corresponding areas of the movie database. Our proposed method extracts a suitable candidate set of movie databases according to the user's image query based on the color information that summarizes the characteristics of each movie database in the distributed movie database environment. Our method focuses on the color frequency trend of cherry blossoms in a movie database to extract the movie databases that include flowering states in the image frames similar to the user's input cherry blossom image and to extract the period by analyzing the increasing and decreasing trend of the specified flower color within the specified period. In the experiment, we evaluate the feasibility of our proposed method in the distributed movie database environment, where each movie database consists of pseudo-movie data on cherry blossoms.
在本文中,我们提出了一种樱花电影数据库的数据库选择方法,该方法是在假设大量不同观测地点的电影数据不断存储到电影数据库的相应区域的前提下构建的。我们提出的方法基于颜色信息,根据用户的图像查询提取合适的候选电影数据库集,该方法总结了分布式电影数据库环境中每个电影数据库的特征。我们的方法关注电影数据库中樱花的色频趋势,提取与用户输入的樱花图像相似的图像帧中包含开花状态的电影数据库,并通过分析指定时间段内指定花朵颜色的增减趋势来提取时间段。在实验中,我们在分布式电影数据库环境中评估了我们提出的方法的可行性,其中每个电影数据库都由樱花上的伪电影数据组成。
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引用次数: 0
Performance Optimization by Simplification of Relationship in Scalable Layer Stream 基于关系简化的可扩展层流性能优化
Heung-Ki Lee, Kyung Jin Ahn, Jaehee Jung, Gangman Yi
Frequent packet loss of media data is critical problem that degrades the quality of streaming service in wireless networks. During scalable streaming service, only partial of data can be decoded at the decoder depending on the relationship between frames and layers. Contents provider divides one large media stream into several layers, and then provides each layer to user. The hierarchical structure between frames and layers highly exerts influence the availability of media data. Even if whole data of layer is transmitted successfully, they can not be decoded resulted from absence of reference frames and layers. The complicated relationship between frames and layers in scalable stream increases the volume of the abandoned layers. In this paper, we prove that simple scalable scheme outperforms complicated scheme in error prone network. We suggest the adaptive set top box (Adaptive STB) to drop dependency between layers in scalable stream. Also, we measure how much media data can be played through analysis in relationship between layers. Adaptive STB enhances the quality of scalable streaming service through removing indirect loss.
媒体数据的频繁丢包是影响无线网络流媒体服务质量的关键问题。在可扩展流媒体服务中,根据帧和层之间的关系,解码器只能对部分数据进行解码。内容提供商将一个大的媒体流分成若干层,然后将每一层提供给用户。帧与层之间的层次结构对媒体数据的可用性有很大影响。由于没有参考帧和参考层,即使整个层的数据传输成功,也无法解码。在可伸缩流中,帧和层之间的复杂关系增加了被丢弃层的数量。本文证明了在容易出错的网络中,简单的可扩展方案优于复杂的方案。我们建议使用自适应机顶盒(adaptive STB)来减少可扩展流中各层之间的依赖。此外,我们通过分析层与层之间的关系来衡量可以播放多少媒体数据。自适应机顶盒通过消除间接损失来提高可扩展流媒体服务的质量。
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引用次数: 0
HEAT: Horizontal Moveable Energy-efficient Adaptive Threshold-Based Routing Protocol for Wireless Body Area Networks 基于水平移动节能自适应阈值的无线体域网络路由协议
Azam Afridi, N. Javaid, Shawana Jamil, M. Akbar, Z. Khan, U. Qasim
Approaches of using Wireless Body Area Sensor Network (WBASN) in health care applications are getting much popularity. WBASN is a hot topic among the research community. Our proposed Horizontal moveable Energy-efficient Adaptive Threshold-based (HEAT) protocol is well suited for horizontally moving (walking) human body. The on body nodes attached at arms and legs of human body move forward and backward to sink during horizontal movement. We use direct communication for emergency data and multi-hop communication strategy for normal data transmission. Simulation results show that our proposed protocol performs better in terms of stability period and network lifetime. The stability period of HEAT is comparative with direct communication, while it outperforms direct communication in term of network lifetime.
无线体域传感器网络(WBASN)在医疗保健领域的应用越来越广泛。无线宽带网络是研究领域的热点。我们提出的基于水平移动节能自适应阈值(HEAT)的协议非常适合于水平移动(行走)的人体。在水平运动时,附着在人体手臂和腿部的身体节点向前和向后移动,下沉。紧急数据采用直接通信,正常数据采用多跳通信策略。仿真结果表明,本文提出的协议在稳定周期和网络生命周期方面具有更好的性能。HEAT的稳定周期与直接通信相比,但在网络寿命方面优于直接通信。
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引用次数: 8
Mining Hidden Concepts: Using Short Text Clustering and Wikipedia Knowledge 挖掘隐藏概念:使用短文本聚类和维基百科知识
Cheng-Lin Yang, Nuttakorn Benjamasutin, Y. Chen-Burger
In recent years, there has been a rapidly increasing use of social networking platforms in the forms of short-text communication. However, due to the short-length of the texts used, the precise meaning and context of these texts are often ambiguous. To address this problem, we have devised a new community mining approach that is an adaptation and extension of text clustering, using Wikipedia as background knowledge. Based on this method, we are able to achieve a high level of precision in identifying the context of communication. Using the same methods, we are also able to efficiently identify hidden concepts in Twitter texts. Using Wikipedia as background knowledge considerably improved the performance of short text clustering.
近年来,人们越来越多地使用社交网络平台进行短信交流。然而,由于所使用的文本长度较短,这些文本的确切含义和上下文往往是模棱两可的。为了解决这个问题,我们设计了一种新的社区挖掘方法,它是文本聚类的适应和扩展,使用维基百科作为背景知识。基于这种方法,我们能够在识别通信上下文方面达到很高的精度。使用相同的方法,我们还能够有效地识别Twitter文本中的隐藏概念。使用Wikipedia作为背景知识大大提高了短文本聚类的性能。
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引用次数: 4
The Cloud Storage Model for Manufacturing System in Global Factory Automation 全球工厂自动化中制造系统的云存储模型
Hwa-Young Jeong, J. Park, Jae Dong Lee
There are many manufacturing systems in the factory. Furthermore the system engineer or user have to control and manage lots of data for the manufacturing system. There is, therefore, a need for an efficient management method or technique to handle the systems in their factory. The system managers who work in the main office or at a e location far from the factory also need to check the production rate and data of the manufacturing system in the factory. All of them need to manage the system data. Recently, cloud computing was introduced and thus allows a significant alternative to today's manufacturing system perspective. Therefore, this research aims to present a model to manage and share the data for the manufacturing system via the internet. For this purpose, the cloud storage for the manufacturing system in global factory automation was used. The proposed cloud storage model consists of four types of databases and one management server. The model interfaces the data exchange process between the manufacturing systems and each database. Through this model, the system manager, engineer, and user are all able to check and share the manufacturing system's data efficiently via the internet.
这家工厂有许多生产系统。此外,系统工程师或用户必须控制和管理制造系统的大量数据。因此,需要一种有效的管理方法或技术来处理他们工厂的系统。在总部或远离工厂的地方工作的系统经理也需要检查工厂内制造系统的生产率和数据。它们都需要管理系统数据。最近,云计算被引入,从而为今天的制造系统提供了一个重要的替代方案。因此,本研究旨在提出一种基于互联网的制造系统数据管理与共享模型。为此,采用了全球工厂自动化制造系统的云存储。提出的云存储模型由四种类型的数据库和一个管理服务器组成。该模型将制造系统与每个数据库之间的数据交换过程连接起来。通过该模型,系统管理员、工程师和用户都可以通过internet高效地查看和共享制造系统的数据。
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引用次数: 10
期刊
2014 28th International Conference on Advanced Information Networking and Applications Workshops
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