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5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)最新文献

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UbiWall as a reconfigurable ecosystem of smart blocks UbiWall是一个可重构的智能区块生态系统
Hyunseok Kim, S. Jang, Dongjun Suh, Seongju Chang
Convergence between construction and Information Technology (IT) can facilitate network-enabled building materials that can be used to manifest a built-in digital ecosystem capable of coping with various environmental changes. It is difficult, however, to mix IT components into a building material. Therefore, this research first proposes a network-enabled smart block equipped with various sensing, cognition and actuation capabilities that would cope with various environmental and user requirement changes in addition to maintaining high durability and easy assembly and reconfiguration. Based on the precedent research on Smart Architectural Surface, the developed blocks can also perceive dynamic environmental status and propagates sensed information to the neighboring blocks. Using ecosystem of such smart blocks, we tried to establish UbiWall system which can satisfy diverse interactive multimedia services such as sensor enabled interactive tiled display wall, multi-modal and multifunctional interaction system and autonomous services either localized or globalized depending on the users' interactions with the smart blocks. Ultimately, the developed system can be evolved onto a digital ecosystem which could accommodate a variety of services by strongly coupling a value chain between smart blocks and the users.
建筑和信息技术(IT)之间的融合可以促进具有网络功能的建筑材料,这些建筑材料可用于体现能够应对各种环境变化的内置数字生态系统。然而,将It组件混合到建筑材料中是很困难的。因此,本研究首先提出了一种具有各种传感、认知和驱动能力的网络智能块,该智能块在保持高耐用性和易于组装和重构的同时,还能应对各种环境和用户需求变化。在智能建筑表面研究的基础上,开发的街区还可以感知动态环境状态,并将感知到的信息传播给邻近的街区。利用智能块的生态系统,我们尝试建立UbiWall系统,该系统可以满足多种交互式多媒体服务,如传感器支持的交互式平铺显示墙,多模态多功能交互系统以及根据用户与智能块的交互本地化或全球化的自主服务。最终,开发的系统可以演变成一个数字生态系统,通过智能区块和用户之间的价值链强耦合,可以容纳各种服务。
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引用次数: 4
Optimization based simulation model development: Solving robustness issues 基于优化的仿真模型开发:解决鲁棒性问题
J. Debuse, S. Miah
Mathematical models are becoming popular to represent biological systems. A mathematical model can be based upon existing knowledge from scientific literature, expert opinion, and field and laboratory studies. However, there are significant issues in model development including robustness. This study therefore examines how model quality can be improved automatically using optimization approaches. Specifically, we examine how a recently developed robust model of a forest pest species, with potential application in areas such as risk prediction [3], may have its robustness further increased using optimization. Digital eco-systems provide a powerful and broader methodological foundation and support for the implementation of optimization through application of the design science method1.
用数学模型来表示生物系统正变得越来越流行。数学模型可以基于来自科学文献、专家意见、实地和实验室研究的现有知识。然而,在模型开发中存在包括鲁棒性在内的重要问题。因此,本研究探讨了如何使用优化方法自动提高模型质量。具体而言,我们研究了最近开发的森林害虫物种鲁棒模型如何通过优化进一步提高其鲁棒性,该模型在风险预测[3]等领域具有潜在的应用前景。数字生态系统通过应用设计科学方法为实现优化提供了强大而广泛的方法基础和支持。
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引用次数: 1
Range-based indoor user localization using reflected signal path model 基于距离的反射信号路径模型的室内用户定位
Jongdae Jung, H. Myung
User localization is one of the key technologies for mobile robots to successfully interact with humans. Among various localization methods using radio frequency (RF) signals, time of arrival (TOA) based localization is popular since the target coordinates can be directly calculated from the accurate range measurements. In complex indoor environment, however, RF ranging-based localization is quite challenging since the range measurements suffer not only from signal noise but also from signal blockages and reflections. A set of range measurements taken in complex indoor environment verifies that almost all measurements are non-line-of-sight (NLOS) ranges which have striking difference to the line-of-sight (LOS) distances. These NLOS range measurements make severe degradation in the accuracy of trilateration based localizations if used without any compensation. In this paper we propose a particle filter-based localization algorithm which utilizes indoor geometry from a given map to estimate the NLOS signal path and compensates for the range measurements. The algorithm is verified with experiments performed in real indoor environments.
用户定位是移动机器人成功与人交互的关键技术之一。在各种利用射频信号的定位方法中,基于到达时间(TOA)的定位方法由于可以直接从精确的距离测量中计算目标坐标而广受欢迎。然而,在复杂的室内环境中,基于射频距离的定位具有很大的挑战性,因为距离测量不仅受到信号噪声的影响,而且还受到信号阻塞和反射的影响。一组在复杂室内环境下的距离测量验证了几乎所有的测量值都是非视距(NLOS)范围,这与视距(LOS)距离有显著差异。如果没有任何补偿,这些NLOS范围测量会严重降低基于三边定位的精度。本文提出了一种基于粒子滤波的定位算法,该算法利用给定地图的室内几何形状来估计NLOS信号路径并对距离测量进行补偿。在真实的室内环境中进行了实验验证。
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引用次数: 7
Working robots for nuclear power plant desasters 核电站灾难处理机器人
M. Sugisaka
This document presents the exiting robots that are used in both American army in the operation of Iraq and Afghanistan and Japanese rescue teams formed after The Great Hanshin-Awaji Earthquake (1/17, 1955, 5:46:52 a.m. Magnitude 7.3). This document gives how some of existing robots could be used to survey the damaged Fukushima Dai-ichi nuclear power plant after East Japan Earthquake (3/11, 2011, 2:46:18 p.m. Magnitude 9.0, The largest domestic record) and Tsunami (10 m)
这份文件介绍了美军在伊拉克和阿富汗作战中使用的机器人,以及日本阪神-淡路大地震(1955年1月17日,上午5:46:52)后组建的救援队中使用的机器人。7.3级)。这个文件给出了一些现有的机器人如何在东日本地震后被用来调查受损的福岛第一核电站。里氏9.0级(国内最高记录)和海啸(10米)
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引用次数: 21
6. Keynote presentations 6. 主旨演讲
T. Dillon, V. Potdar, Jaipal Singh, A. Talevski
The very recent development of Cyber-Physical Systems (CPS) provides a smart infrastructure for connecting abstract computational artefacts with the physical world. As new CPS applications start to interact with the physical world using sensors and actuators, there is a great need for ensuring that the actions initiated by the CPS is timely. This will require new Quality of Service (QoS) functionality and mechanisms for CPS. This paper will investigate QoS requirements for CPS and discuss the state of the art in CPS QoS techniques and models. Research challenges to providing QoS for CPS will be discussed and a new CPS framework that provides end-to-end QoS in a complex system-of-systems CPS will be presented. Two case studies, in smart energy grids and intelligent vehicle systems, will be provided to clearly illustrate the QoS requirements in CPS and how it can be achieved.
网络物理系统(CPS)的最新发展为将抽象计算工件与物理世界连接起来提供了智能基础设施。由于新的CPS应用程序开始使用传感器和执行器与物理世界进行交互,因此非常需要确保CPS发起的操作是及时的。这将需要新的服务质量(QoS)功能和CPS机制。本文将研究CPS的QoS需求,并讨论CPS QoS技术和模型的最新进展。将讨论为CPS提供QoS的研究挑战,并提出一个新的CPS框架,在复杂的系统的CPS中提供端到端QoS。将提供智能电网和智能车辆系统的两个案例研究,以清楚地说明CPS中的QoS要求以及如何实现。
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引用次数: 0
Managing large and small files in a distributed system 在分布式系统中管理大小文件
Y. Kawai, Takashi Sasaki, Yoshimi Iida, Y. Watase, A. Hasan, F. Di Lodovico
Digital Ecosystems rely on the exchange of information between participants of the system. Within one ecosystem the size and complexity of the data can have a wide variation. In this note we investigate the problems of managing large and small files within the same system using the integrated Rule Oriented Data management System (iRODS).
数字生态系统依赖于系统参与者之间的信息交换。在一个生态系统中,数据的大小和复杂性可能会有很大的变化。在本文中,我们研究了使用集成的面向规则的数据管理系统(iRODS)在同一系统中管理大小文件的问题。
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引用次数: 2
Fast human detection using Gaussian Particle Swarm Optimization 基于高斯粒子群优化的快速人体检测
Sung-Tae An, Jeong-Jung Kim, Joon-Woo Lee, Jujang Lee
Human detection is a challenging task in many fields because it is difficult to detect humans due to their varying appearance and posture. The evaluation speed of the method is important as well as its accuracy. In this paper, we propose a novel method using Gaussian Particle Swarm Optimization (Gaussian-PSO) for human detection with the Histograms of Oriented Gradients (HOG) feature to achieve a fast and accurate performance. Keeping the robustness of HOG feature on human detection, we raise the process speed in detection process so that it can be used for real-time applications. These advantages are given by a simple process which needs only one linear-SVM classifier with HOG features and Gaussian-PSO procedure.
人体检测在许多领域都是一项具有挑战性的任务,因为人体的不同外观和姿势使检测变得困难。该方法的评估速度和准确性非常重要。本文提出了一种利用面向梯度直方图(Histograms of Oriented Gradients, HOG)特征的高斯粒子群算法(Gaussian- pso)进行人体检测的新方法,以达到快速准确的检测效果。在保持HOG特征对人体检测的鲁棒性的同时,提高了检测过程中的处理速度,使其能够用于实时应用。这些优点是通过一个简单的过程来实现的,该过程只需要一个具有HOG特征的线性支持向量机分类器和高斯-粒子群算法。
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引用次数: 10
Is the cloud the answer to scalability of ecologies? Using GAE to enable horizontal scalability 云是生态系统可扩展性的答案吗?使用GAE支持水平可伸缩性
Radhika Ramasahayam, R. Deters
The Digital Ecosystem (DE) paradigm is a holistic management/design/integration approach that is based on the notion of self-interested, self-managing, proactive and autonomous digital entities that evolve and self-organize. While a DE can be realized using different technologies (e.g. P2P, Multi-Agent System) web-services is particularly well suited due to the similarity of underlying concepts. A key issue in the deployment of such a service-oriented ecosystem (aka service ecology) is the scalability of the system. To ensure that the ecology can flourish and meet the demands it must be able to scale up and down depending on its use. The paper focuses on the use of cloud computing as a possibility for enabling horizontal scalability within service ecologies.
数字生态系统(DE)范式是一种整体管理/设计/集成方法,它基于自利、自我管理、主动和自主的数字实体的概念,这些实体可以进化和自组织。虽然DE可以使用不同的技术(例如P2P、多代理系统)来实现,但由于底层概念的相似性,web服务特别适合。部署这种面向服务的生态系统(又名服务生态)的一个关键问题是系统的可伸缩性。为了确保生态能够蓬勃发展并满足需求,它必须能够根据其使用情况扩大和缩小规模。本文主要关注云计算的使用,作为在服务生态中实现水平可伸缩性的一种可能性。
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引用次数: 8
TextGrid provenance tools for digital humanities ecosystems 用于数字人文生态系统的TextGrid来源工具
M. Kuster, C. Ludwig, Y. Al-Hajj, T. Selig
Philological research is very much concerned with the idea of data provenance. However, existing provenance models in eResearch and eScience for data and workflow are ill-applicable to the specific challenges of philological research in the digital age. In philology, provenance data must be collected not only for the complete research objects, but also for fragments — in particular for texts. This necessitates a much richer provenance model that is interwoven with the objects' textual structure and supports the association of provenance data with individual words. It must also permit multiple interpretations of provenance for a single research object. In this, the requirements in digital philology can also be paradigmatic for very fine-granular provenance information collection in other domain-specific digital ecosystems. This paper elaborates key requirements of data and workflow provenance in the philologies and demonstrates how the tools in the TextGrid digital humanities ecosystem answer to those needs. In addition to TextGrid's text-image-link editor and its underlying data model the paper also introduces the humanities' provenance tool HPT for RESTful workflows. HPT is specifically geared to supporting the provenance requirements for workflows in heterogeneous digital humanities ecosystems.
语言学研究非常关注数据来源的概念。然而,esresearch和eScience中现有的数据和工作流程来源模型不适用于数字时代文献学研究的具体挑战。在文献学中,不仅要收集完整的研究对象的来源资料,而且要收集片断资料,特别是文本资料。这就需要一个更丰富的来源模型,该模型与对象的文本结构交织在一起,并支持来源数据与单个单词的关联。它还必须允许对单一研究对象的来源进行多种解释。在这方面,数字文献学中的要求也可以作为其他领域特定数字生态系统中非常细粒度的种源信息收集的范例。本文阐述了文献学中数据和工作流来源的关键需求,并演示了TextGrid数字人文生态系统中的工具如何满足这些需求。除了TextGrid的文本-图像链接编辑器及其底层数据模型外,本文还介绍了用于RESTful工作流的人文起源工具HPT。HPT专门用于支持异构数字人文生态系统中工作流的来源需求。
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引用次数: 12
A mobile context monitoring platform for pervasive computing environments 面向普适计算环境的移动上下文监控平台
Youngki Lee, Chulhong Min, Younghyun Ju, Saumay Pushp, Junehwa Song
In this paper, we present a new mobile platform to support emerging pervasive applications in a Personal Area Network (PAN)-scale dynamic mobile computing environment. The PAN-scale computing environment will constitute an important part of future pervasive-space technology with highly proactive applications, requiring continuous monitoring of users' contexts. The context-aware applications impose heavy workloads on the mobile device and the sensor nodes with highly limited computing and battery power especially for continuous monitoring of user contexts. Our new context monitoring system provides a scalable and energy-efficient monitoring architecture for such applications. It actively interplays between applications and computing resources, coordinating multiple applications to effectively leverage the limited resources and provide quality service to users. Example applications are also developed based on the implemented system design. Experimental results show that the system achieves a superior level of scalability and energy efficiency.
在本文中,我们提出了一个新的移动平台,以支持在个人区域网络(PAN)规模的动态移动计算环境中出现的普遍应用。pan规模的计算环境将构成未来普适空间技术的重要组成部分,具有高度主动的应用,需要持续监测用户的上下文。上下文感知应用程序对移动设备和传感器节点施加了繁重的工作负载,并且计算和电池功率非常有限,特别是对用户上下文的持续监控。我们的新上下文监控系统为此类应用程序提供了可扩展且节能的监控体系结构。它积极地在应用程序和计算资源之间相互作用,协调多个应用程序,有效地利用有限的资源,为用户提供优质的服务。基于实现的系统设计,还开发了示例应用程序。实验结果表明,该系统具有较好的可扩展性和能效。
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引用次数: 1
期刊
5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)
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