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2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)最新文献

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Interchange: Bidding for green lights 交换:投标开绿灯
N. Shantharam, T. Strang, Donald J. Patterson
In urban environments great effort is directed toward alleviating traffic including the design and implementation of complex software and hardware infrastructure. We introduce the idea of an auction-based mechanism for resolving vehicle intersections using a multi-way group auction mechanism. We propose a supporting infrastructure that has promise for increasing performance and responsiveness to dynamic traffic conditions. In order to evaluate new intersections, we propose new metrics that attempt to capture a more human aspect of vehicular transportation. We demonstrate that Interchange intersections perform well in single and multi-grid configurations, are self-adapting and are responsive to a variety of traffic loads.
在城市环境中,人们努力缓解交通,包括设计和实施复杂的软件和硬件基础设施。我们引入了一种基于拍卖的机制的思想,使用多路群拍卖机制来解决车辆交叉口。我们提出了一种支持基础设施,有望提高性能和对动态交通条件的响应能力。为了评估新的十字路口,我们提出了新的指标,试图捕捉车辆运输中更人性化的方面。我们证明了立交交叉口在单网格和多网格配置中表现良好,具有自适应能力,并对各种交通负载做出响应。
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引用次数: 1
Exploring concept drift using interactive simulations 使用交互式模拟探索概念漂移
Jeremiah Smith, Naranker Dulay, M. Tóth, O. Amft, Yanxia Zhang
In machine learning, concept drift can cause the optimal solution to a given problem to change as time passes, leading to less accurate predictions. Concept drift can be sudden, gradual or reoccuring. Understanding the consequences of concept drift is particularly important in human-centric applications where changes in the underlying data and environment are common and unexpected. In order to gain a better understanding of the adverse effects of different types of concept drift on learners, we propose a novel simulation tool that is able to incrementally generate datasets with customisable concept drift by interacting with a human in a game-like setting. We illustrate our approach by generating and analysing concept drift simulations inspired by body-sensor based long-term activity recognition. Our initial results show that current unsupervised adaptation techniques can be caught in cyclic mislabelling and that a hybrid solution that is self-calibrating and semi-supervised is more robust than any of the two taken separately for this example.
在机器学习中,概念漂移会导致给定问题的最佳解决方案随着时间的推移而改变,从而导致预测的准确性降低。概念漂移可以是突然的、渐进的或反复出现的。在以人为中心的应用程序中,理解概念漂移的后果尤其重要,因为底层数据和环境的变化是常见的和不可预测的。为了更好地理解不同类型的概念漂移对学习者的不利影响,我们提出了一种新的模拟工具,该工具能够通过在类似游戏的环境中与人类互动,逐步生成具有可定制概念漂移的数据集。我们通过生成和分析受基于身体传感器的长期活动识别启发的概念漂移模拟来说明我们的方法。我们的初步结果表明,目前的无监督自适应技术可能陷入循环错误标记,并且自校准和半监督的混合解决方案比本例中单独采用的任何两种解决方案都更健壮。
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引用次数: 1
Connectivity and energy usage in low-power wireless: An experimental study 低功耗无线的连接和能源使用:一项实验研究
D. Puccinelli, S. Giordano
We present an experimental study of the impact of network connectivity on energy usage in low-power wireless. We focus on the ends of the connectivity spectrum and investigate the energy footprint of excessive connectivity as well as poor connectivity. We observe that high connectivity boosts the energy footprint of broadcast traffic, because it is conducive to contention and overhearing. With respect to poor connectivity, we observe that the presence of connectivity outliers may also result in a significant increase of the energy consumption. To enable fair comparisons between experimental runs, we augment our results with quantitative data regarding the network topology during each run.
我们提出了一个实验研究的影响,网络连接对能源使用的低功耗无线。我们关注互联互通频谱的末端,研究过度互联互通和低互联互通的能源足迹。我们观察到,高连接增加了广播流量的能量足迹,因为它有利于争用和偷听。关于连通性差,我们观察到连通性异常值的存在也可能导致能源消耗的显著增加。为了在实验运行之间进行公平的比较,我们在每次运行期间使用有关网络拓扑的定量数据来增强我们的结果。
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引用次数: 5
Interactive interfaces for complex network analysis: An information credibility perspective 复杂网络分析的交互界面:信息可信度视角
J. Schaffer, Byungkyu Kang, Tobias Höllerer, Hengchang Liu, Chenji Pan, Siyu Giyu, J. O'Donovan
This paper discusses and evaluates the impact of visualization and interaction strategies for extracting quality information from data in complex networks such as microblogs. Two different approaches to interactive visual representations of data are discussed: an interactive node-link graph and a novel approach where content is separated into interactive lists based on data properties. To assess the two approaches in terms of information credibility, the TopicNets system is compared with “Fluo”, a novel system. An analysis scenario is performed through each system on a set of big data filtered from the Twitter message service. The exposure of content, trade-offs between algorithmic power and interaction complexity, methods for content filtering, and strategies for recommending new content are assessed for each system. Fluo is found to improve on TopicNets ability to efficiently find relevant content primarily by providing a more structured content view, however, TopicNets is more customizable and boasts features which are critical for an expert analyst. The paper concludes with general insights on interface design for information filtering systems to maximize perceived quality of information.
本文讨论并评估了可视化和交互策略对从复杂网络(如微博)中提取高质量信息的影响。本文讨论了数据交互式可视化表示的两种不同方法:一种是交互式节点链接图,另一种是基于数据属性将内容分成交互式列表的新方法。为了评估这两种方法的信息可信度,将TopicNets系统与一个新系统“Fluo”进行了比较。通过每个系统对从Twitter消息服务过滤的一组大数据执行分析场景。评估了每个系统的内容暴露、算法能力和交互复杂性之间的权衡、内容过滤方法和推荐新内容的策略。我们发现Fluo主要通过提供更结构化的内容视图来提高TopicNets有效查找相关内容的能力,然而,TopicNets更具可定制性,并且拥有对专家分析师至关重要的功能。本文总结了信息过滤系统界面设计的一般见解,以最大限度地提高信息的感知质量。
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引用次数: 4
Supporting daily living activities using behavior logs and Augmented Reality 使用行为日志和增强现实支持日常生活活动
Yuki Nakamura, Shinya Yamamoto, M. Tamai, K. Yasumoto
In this paper, we propose a support system for daily living activities based on a user's behavior log in an indoor environment. Generally speaking, daily living activities hardly remain in our memory, so that, determining the order and priority of daily tasks can be difficult. There are studies supporting daily chores based on a behavior log and aiming to improve the work efficiency by using a memory aid. However, most of the existing studies require pre-installation of costly devices such as cameras and sensors, and are limited to supporting a particular task or purpose. There have been proposed many methods based on Augmented Reality (AR) which annotate captured images of the real world with texts, but text-based information may frustrate users. More intuitive user interfaces are required. In this paper, we first propose a user's behavior log management technique which associates each activity log with an object/location in the target indoor space. Then, we propose a method for reproducing AR-based visual effects on the object/location determined based on the log; the method naturally navigates the user to carrying out the intended task. We have implemented a prototype of the proposed method and have conducted subjective surveys to evaluate the effectiveness of the proposed visual effects. We thereby, confirmed that the proposed visual effects can make users more intuitively aware of the intended task than the text-based annotation method.
在本文中,我们提出了一个基于用户在室内环境中的行为日志的日常生活活动支持系统。一般来说,日常生活活动很难留在我们的记忆中,因此,确定日常任务的顺序和优先级可能是困难的。有研究支持基于行为日志的日常琐事,旨在通过使用记忆辅助来提高工作效率。然而,大多数现有的研究需要预先安装昂贵的设备,如相机和传感器,并且仅限于支持特定的任务或目的。人们已经提出了许多基于增强现实(AR)的方法,这些方法用文本注释捕捉到的真实世界的图像,但是基于文本的信息可能会让用户感到沮丧。需要更直观的用户界面。在本文中,我们首先提出了一种用户行为日志管理技术,该技术将每个活动日志与目标室内空间中的对象/位置关联起来。然后,我们提出了一种在基于日志确定的对象/位置上再现基于ar的视觉效果的方法;该方法自然地引导用户执行预期的任务。我们已实施了建议方法的原型,并进行了主观调查,以评估建议的视觉效果的有效性。因此,我们证实,与基于文本的注释方法相比,提出的视觉效果可以让用户更直观地意识到预期的任务。
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引用次数: 3
Performance evaluation of Binary Spray and Wait OppNet protocol in the context of emergency scenario 紧急情况下二进制喷雾和等待OppNet协议的性能评估
M. Abbas, Nur Husna Md Yusof, N. Fisal
Opportunistic Networks (OppNets) can be used as an alternative way to communicate or to interact with each other when a fixed communication infrastructure is down during an incident like an earthquake or tsunami. In this paper, we investigate the factors effecting the performance of an OppNets routing protocol which is Binary Spray and Wait protocol in a condition of emergency situation. We have conducted four experiments; 1) 20 pedestrians, 2) 20 cars, 3) 100 pedestrians, and 4) 100 cars. We evaluated this protocol using Opportunistic Networking Environment (ONE) simulator and analyze the performance in term of delivery probability, number of message dropped, latency average, and hop count average by varying size of buffer and message size.
机会网络(OppNets)可以作为在地震或海啸等事件中固定通信基础设施瘫痪时进行通信或相互交互的替代方式。本文研究了OppNets路由协议二进制喷雾和等待协议在紧急情况下的性能影响因素。我们进行了四次实验;1) 20个行人,2)20辆汽车,3)100个行人,4)100辆汽车。我们使用机会网络环境(ONE)模拟器对该协议进行了评估,并通过改变缓冲区大小和消息大小,从传递概率、丢弃的消息数量、平均延迟和平均跳数等方面分析了性能。
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引用次数: 9
Communication protocols in FRIEND: A cyber-physical system for traffic Flow Related Information Aggregation and Dissemination 交通流相关信息聚合与发布的网络物理系统FRIEND中的通信协议
Samy El-Tawab, S. Olariu
In this paper, we explain in depth the communication protocols between different components of FRIEND: a cyber-physical system for traffic Flow-Related Information aggrEgatioN and Dissemination. Recall that FRIEND (which has been introduced in pervious work, by integrating resources and capabilities at the nexus between the cyber and physical worlds, FRIEND will contribute to aggregating traffic flow data collected by the huge fleet of vehicles on our roads into a comprehensive, near real-time synopsis of traffic flow conditions). The main goal of this paper is to discuss the communication protocols employed by various entities in FRIEND. We discuss one of the most fundamental issues in computer networking, which is how two entities can reliably communicate. We start by introducing notation and by establishing terminology that will be used. Then, we discuss how the Road Side Units (RSUs) communicate with different other entities in FRIEND. Also, how data exchange occurs between RSUs and other entities. Then, we explain the communication between Smart Cat's Eyes (SCEs) and other FRIEND entities.
在本文中,我们深入地解释了FRIEND:一个用于交通流相关信息聚合和发布的网络物理系统的不同组件之间的通信协议。回想一下FRIEND(在之前的工作中已经介绍过,通过整合网络世界和物理世界之间的资源和能力,FRIEND将有助于将道路上大量车辆收集的交通流量数据汇总成一个全面的、接近实时的交通流量状况摘要)。本文的主要目的是讨论FRIEND中各种实体使用的通信协议。我们讨论计算机网络中最基本的问题之一,即两个实体如何可靠地通信。我们从介绍符号和建立将要使用的术语开始。然后,我们讨论了Road Side Units (rsu)如何与FRIEND中的其他不同实体进行通信。此外,rsu和其他实体之间如何进行数据交换。然后,我们解释了智能猫的眼睛(sce)和其他FRIEND实体之间的通信。
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引用次数: 14
Friend in the Middle (FiM): Tackling de-anonymization in social networks 中间的朋友(FiM):处理社交网络中的去匿名化
Filipe Beato, M. Conti, B. Preneel
With the large growth of Online Social Networks (OSNs), several privacy threats have been highlighted, as well as solutions to mitigate them. Most solutions focus on restricting the visibility of users information. However, OSNs also represent a threat for contextual information, such as the OSN structure and how users communicate among each other. Recently proposed deanonymization techniques proved to be effective in re-identifying users in anonymized social network. In this paper, we present Friend in the Middle (FiM): a novel approach to make OSNs more resilient against de-anonymization techniques. Additionally we evaluate and demonstrate throughout experimental results the feasibility and effectiveness of our proposal.
随着在线社交网络(OSNs)的大量增长,一些隐私威胁已经被强调,以及缓解这些威胁的解决方案。大多数解决方案侧重于限制用户信息的可见性。但是,OSN也会对上下文信息构成威胁,例如OSN的结构和用户之间的通信方式。最近提出的去匿名化技术被证明可以有效地重新识别匿名化社交网络中的用户。在本文中,我们提出了中间朋友(FiM):一种使osn更具抗去匿名化技术弹性的新方法。此外,我们评估并论证了整个实验结果的可行性和有效性。
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引用次数: 22
Efficient reprogramming of wireless sensor networks using incremental updates 使用增量更新的无线传感器网络的有效重编程
Milosh Stolikj, P. Cuijpers, J. Lukkien
Software reprogramming enables users to extend or correct functionality of a sensor network after deployment, preferably at a low cost. This paper investigates the improvement of energy efficiency and delay of reprogramming, at low resource cost. As enabling technologies data compression and incremental updates are used. Algorithms for both approaches are analyzed, as well as their combination, applied to resource-constrained devices. All algorithms are ported to the Contiki operating system, and profiled for different types of reprogramming. The presented results show that there is a clear trade-off between performance and resource requirements. Furthermore, the best reprogramming approach depends on the type of update. Experimentally, VCDIFF, or the combination of Lempel-Ziv-77/FastLZ for compression with BSDIFF for delta encoding, have been identified as the best possible options.
软件重新编程使用户能够在部署后扩展或纠正传感器网络的功能,优选以低成本。本文研究了如何在低资源成本的条件下提高重编程的能效和延迟。作为启用技术,使用了数据压缩和增量更新。分析了两种方法的算法,以及它们的组合,应用于资源受限的设备。所有的算法都移植到Contiki操作系统中,并针对不同类型的重新编程进行了配置。给出的结果表明,性能和资源需求之间存在明显的权衡。此外,最佳的重编程方法取决于更新的类型。实验证明,VCDIFF,或者结合Lempel-Ziv-77/FastLZ进行压缩和BSDIFF进行增量编码,是可能的最佳选择。
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引用次数: 30
A decade of low-power wireless 低功耗无线的十年
D. Puccinelli
Energy has always been the number one issue in wireless sensor networks, both because of the resource constraints of sensor nodes and because of the need for untethered operation. In particular, the energy footprint of wireless communication has been the object of a great deal of interest over the past decade. Many applications of sensor networks require nodes to operate for months or even years without supervision, thus making it imperative for nodes to employ low-power radios and to duty-cycle them. To complicate matters further, low-power radios are notoriously exposed to the vagaries of RF propagation. The challenge of achieving energy-efficient and reasonably reliable communication over lossy links has shaped a large body of experimental research, mostly driven by the popular Berkeley motes. In this talk, I will illustrate the highlights of a decade of low-power wireless research, with an emphasis on the key accomplishments in medium access and routing.
能源一直是无线传感器网络的头号问题,这既是因为传感器节点的资源限制,也是因为需要不受约束的操作。特别是,无线通信的能源足迹在过去十年中一直是人们非常感兴趣的对象。传感器网络的许多应用要求节点在没有监督的情况下运行数月甚至数年,因此节点必须采用低功率无线电并对其进行占空比。更复杂的是,低功率无线电极易受到射频传播的影响。在有损链路上实现节能和合理可靠的通信的挑战,已经形成了大量的实验研究,主要是由流行的伯克利笔记推动的。在这次演讲中,我将阐述十年来低功耗无线研究的亮点,重点是媒体接入和路由方面的关键成就。
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引用次数: 0
期刊
2013 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops)
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