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

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Adaptive back-stepping position control system with fuzzy neural networks algorithm 基于模糊神经网络算法的自适应后退位置控制系统
H. Kim, K. Park, Seock Joon Kim
This paper deals with adaptive back-stepping position control system with FNNs(fuzzy neural networks) algorithm for servo system with system uncertainty. The proposed control scheme is induced from the result with the definition of continuative LCF(Lyapunov control functions). In addition, to guarantee the stability problem of the proposed control scheme, the connection weight vector of the FNNs is updated by adaptive rule. The effectiveness of the adaptive back-stepping control system with the FNNs was compared with that of the standard back-stepping control system through computer simulation.
针对具有系统不确定性的伺服系统,研究了基于模糊神经网络算法的自适应后退位置控制系统。利用连续李雅普诺夫控制函数(LCF)的定义推导出该控制方案。此外,为了保证所提控制方案的稳定性,采用自适应规则更新fnn的连接权向量。通过计算机仿真,比较了基于fnn的自适应反步控制系统与标准反步控制系统的有效性。
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引用次数: 1
On the implementation of a DBE to improve SME collaboration 关于实施DBE以改善中小企业协作
F. Estanyol, M. Lurgi
In this paper the authors describe the implementation of an ecologically inspired Digital Business Ecosystem (DBE) to promote and improve business collaboration by allowing Small and Medium sized Enterprises (SMEs) to find partners for interaction. Building on the analysis of how biologically-inspired computing is useful to represent business interactions and how small firms can benefit from this, the authors employ a methodology for defining ecological interactions among agents (SMEs) in a multi-agent system for the implementation of MADBE, an open-source Multi-Agent DBE. With MADBE, SMEs are able to publish their characteristics, services and needs and the system, using an intelligent protocol of interaction, simulates business interactions and suggests the optimal collaborative links between the participant firms that ultimately can derive in new joint ventures.
在本文中,作者描述了生态启发的数字商业生态系统(DBE)的实施,通过允许中小型企业(sme)寻找合作伙伴进行互动来促进和改善业务协作。在分析受生物启发的计算如何有助于表示业务交互以及小企业如何从中受益的基础上,作者采用了一种方法来定义多代理系统中代理(sme)之间的生态交互,以实现MADBE,一个开源的多代理DBE。有了MADBE,中小企业可以发布他们的特点、服务和需求,系统使用智能交互协议,模拟业务交互,并建议参与企业之间的最佳协作联系,最终可以在新的合资企业中产生。
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引用次数: 4
A user study on public health events detected within the medical ecosystem 对医疗生态系统内检测到的公共卫生事件的用户研究
Avare Stewart, E. Herder, Matthew Smith, W. Nejdl
The great influx of Medical-Web data makes the task of computer-assisted gathering and interpretation of Social Media-based Epidemic Intelligence (SM-EI) a very challenging one. State-of-the-art approaches usually use supervised machine learning algorithms to gather data from a variety of sources in this medical ecosystem, mining this data for specific event patterns and information discovery. Supervised approaches not only limit the type of detectable events, but also requires learning examples be given to the machine learning algorithm in advance. On the other hand, the more generic and flexible unsupervised machine learning methods currently produce such complex results, that the domain experts are not capable of assessing the results in a natural and efficient manner. In this paper, we present a novel framework with which SM-EI field practitioners can interact with medical ecosystem data, and assess the results of such complex unsupervised SM-EI algorithms. The assessment framework and the unsupervised epidemic event detection algorithm have been fully implemented and a quantitative study is presented to show the validity of the new approach to SM-EI.
医疗网络数据的大量涌入使得计算机辅助收集和解释基于社交媒体的流行病情报(SM-EI)的任务非常具有挑战性。最先进的方法通常使用监督机器学习算法从这个医疗生态系统中的各种来源收集数据,挖掘这些数据以获得特定的事件模式和信息发现。监督方法不仅限制了可检测事件的类型,而且需要提前给机器学习算法提供学习示例。另一方面,更通用和灵活的无监督机器学习方法目前产生的结果非常复杂,以至于领域专家无法以自然和有效的方式评估结果。在本文中,我们提出了一个新的框架,通过该框架,SM-EI领域的从业者可以与医疗生态系统数据进行交互,并评估这种复杂的无监督SM-EI算法的结果。对评估框架和无监督流行病事件检测算法进行了全面实现,并进行了定量研究,证明了该方法对SM-EI的有效性。
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引用次数: 2
Energy conservation in a smart home 智能家居中的节能
D. Tejani, Ali Mohammed A. H. Al-Kuwari, V. Potdar
In recent times, developments in home automation systems have given way to the construction of smarter infrastructure. Such systems offer an easy way for users to control devices in a building. Commercially, there are several technologies that are currently being implemented for home automation purposes namely Z-Wave [1], ZigBee [2] and X10 [3]. The proprietary Z-Wave technology has various advantages and hence is used in this experiment. Research in this field has extended the capabilities of the technology into areas such as remote monitoring and control, power management, tracking & security systems and disaster warning systems. Power management has been of particular interest as it allows for a greener future and is added advantage to users as a cost-cutting measure. This paper analyses the power consumption in a standard home taking into account commonly used appliances and other devices and shows the management capabilities of a home automation system as well as an estimation of the savings in terms of power consumed and cost. The aim of the study is to measure the energy conservation across 4 homes using a Z-Wave home automation system. It is found that there is an 18.70% decrease in energy consumption when the home automation system acts to manage the power consumption of the devices in the home.
近年来,家庭自动化系统的发展已经让位于更智能的基础设施建设。这种系统为用户控制建筑物中的设备提供了一种简单的方法。商业上,目前有几种用于家庭自动化目的的技术,即Z-Wave [1], ZigBee[2]和X10[3]。专有的Z-Wave技术具有各种优点,因此在本实验中使用。该领域的研究已将该技术的功能扩展到远程监控、电源管理、跟踪和安全系统以及灾害预警系统等领域。电源管理一直受到特别关注,因为它可以实现更环保的未来,并作为降低成本的措施为用户带来额外的优势。本文分析了标准家庭中常用电器和其他设备的功耗,并展示了家庭自动化系统的管理能力,以及在功耗和成本方面的节省估计。本研究的目的是测量使用Z-Wave家庭自动化系统的4个家庭的节能情况。研究发现,当家庭自动化系统对家庭设备的功耗进行管理时,能耗降低了18.70%。
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引用次数: 50
Email triage with Mind Meshes 使用Mind Meshes进行邮件分类
M. Harbach, T. Muders, Ralf Groeper, Matthew Smith
While efficient email triage is a well-known problem, the currently used email filtering solutions are still rudimentary and machine centric. Most filtering solutions work best if humans add machine interpretable keywords to the subject line of emails. More natural filtering options, such as project membership lists or content-based filtering, are very time consuming to set up and maintain. Especially in research ecosystems, significant fluctuation in team members, organisations and projects themselves is common. Research projects are also usually managed in an ad-hoc manner, making static filtering rules a sub-optimal solution. In this paper we therefore introduce the Mind Mesh paradigm, a novel human-friendly information management approach. Based on a self-describing graph structure, organisational structures, projects, and collaborations are modelled. Leveraging this information, the system can automate and support administrative processes such as email filtering, based on an understanding of the project structures. It relieves users of the necessity to maintain machine interpretable rules by hand and adapts to new situations by itself.
虽然有效的电子邮件分类是一个众所周知的问题,但目前使用的电子邮件过滤解决方案仍然是初级的,并且以机器为中心。如果人类在邮件主题行添加机器可解释的关键字,大多数过滤解决方案都能发挥最佳效果。更自然的过滤选项,如项目成员列表或基于内容的过滤,设置和维护都非常耗时。特别是在研究生态系统中,团队成员、组织和项目本身的显著波动是很常见的。研究项目通常也以一种特别的方式进行管理,使得静态过滤规则成为次优解决方案。因此,在本文中,我们介绍了一种新的对人类友好的信息管理方法——Mind Mesh范式。基于自描述图结构,对组织结构、项目和协作进行建模。利用这些信息,系统可以基于对项目结构的理解,自动化并支持诸如电子邮件过滤之类的管理过程。它减轻了用户手工维护机器可解释规则的必要性,并能自行适应新情况。
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引用次数: 0
Structural inspection robot for displacement measurement 位移测量结构检测机器人
H. Jeon, Yousuk Bang, H. Myung
As civil structures are exposed to various external loads such as traffic, wind, and wave loads, it is essential to inspect structural conditions in every moment. Especially the structural displacement, which is one of the important categories of structural health monitoring (SHM), must be estimated to inspect the structural safety. In the previous study, therefore, a structural inspection robot was proposed to directly measure the structural displacement with high accuracy and low cost. The proposed robot is composed of two screens facing with each other, each with one or two lasers, and a camera. By cascading multiple modules, the inspection robot system can estimate the displacement of the entire structure. Although the proposed robot can estimate translational and rotational displacements in 6-DOF, the measurable range is limited due to the limited screen size. To solve this problem, structural inspection robot with visually servoed manipulator is introduced. In this paper, the architecture of structural inspection robot is described in detail and the actuated structural inspection robot is also introduced briefly.
由于土木结构承受着各种外部荷载,如交通、风和波浪荷载,因此对结构状态进行实时检测是必要的。特别是结构位移作为结构健康监测的重要范畴之一,必须对结构位移进行评估,以检验结构的安全性。因此,在之前的研究中,我们提出了一种结构检测机器人,以高精度和低成本的方式直接测量结构位移。该机器人由两个面对面的屏幕组成,每个屏幕都有一个或两个激光器和一个摄像头。通过多个模块的级联,检测机器人系统可以估计整个结构的位移。虽然提出的机器人可以估计平移和旋转位移在6自由度,可测量的范围是有限的,由于有限的屏幕尺寸。为解决这一问题,设计了带视觉伺服机械手的结构检测机器人。本文对结构检测机器人的结构进行了详细的描述,并对驱动结构检测机器人进行了简要介绍。
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引用次数: 4
A semantic description language for RESTful Data Services to combat Semaphobia 一种用于RESTful数据服务的语义描述语言,用于对抗信号恐惧症
Markus Lanthaler, C. Gutl
RESTful Web services are an increasingly popular way for companies to expose their data on the Web. On the other hand, the Linked Open Data initiative is gaining traction recently. Since REST's principles align well with those of Linked Data, there is an increasing interest in the relationship of the two. Nevertheless, in practice they still largely remain separated, creating islands of data instead of a global graph of data forming the envisioned Semantic Web. There are different reasons for this. One is the reluctance of most Web developers to use Semantic Web technologies, a phenomenon we denote as Semaphobia. Another reason is that the Semantic Web is considered to be a disruptive technology which does not consider existing infrastructure. This makes it difficult for enterprises to update their legacy systems. To solve these and other issues, we propose a novel approach to semantically describe RESTful Data Services which in consequence leads to a mechanism to transform the data provided by such services to semantic resources. This aims to contribute to the availability of more semantic datasets. By keeping the approach as familiar and simple as possible for Web developers, we hope to lower the entry barrier and to foster the adoption of our approach.
RESTful Web服务是公司在Web上公开数据的一种日益流行的方式。另一方面,关联开放数据倡议最近正在获得牵引力。由于REST的原则与关联数据的原则很好地结合在一起,因此人们对两者之间的关系越来越感兴趣。然而,在实践中,它们在很大程度上仍然是分离的,创建了数据孤岛,而不是形成预期的语义网的全局数据图。这有不同的原因。一个是大多数Web开发人员不愿意使用语义Web技术,我们将这种现象称为信号恐惧症。另一个原因是语义网被认为是一种不考虑现有基础设施的颠覆性技术。这使得企业很难更新其遗留系统。为了解决这些问题和其他问题,我们提出了一种新的方法来语义描述RESTful数据服务,从而产生一种将此类服务提供的数据转换为语义资源的机制。这样做的目的是促进更多语义数据集的可用性。通过让Web开发人员尽可能熟悉和简单地使用该方法,我们希望降低入门门槛并促进采用我们的方法。
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引用次数: 45
Collaborative and distributed intelligent environment merging virtual and physical realities 融合虚拟和物理现实的协作和分布式智能环境
M. Habib
This paper introduces the development of a new collaborative and distributed intelligent environment that supports collaboration among geographically dispersed people including intelligent systems. The collaborative and distributed intelligent environment merges seamlessly mixed realities in terms of physical space, document, people, physical facilities and equipment, virtual environments, collaborative control, distributed teleopreration, decision making, etc. into one shared collaborative space. This approach aims to bridge the gap between reality and virtuality beyond time and physical constraints. Such capabilities have been achieved through the design and implementation of innovative, interactive, shared, 3D multi-user collaborative and distributed intelligent environment (CoDIE). CoDIE represents an integrated approach with embedded systems that offers the capability to administer distributed environment and resources with people accessing the environment remotely and others are collocated with the physical counterpart supported by ambient intelligence techniques. The developed environment can be used as a metaphor for wide range of application domains to integrate distributed resources, supports synchronous and asynchronous collaboration, distributed teleoperation, collaborative control, and to enable people to work beyond time and physical constraints. The talk presents the concept of CoDIE and describes its four-tire architecture and the key features and functionalities associated with its development and implementation. Finally, the paper highlights briefly the development of an educational and training robot center integrated with distributed physical and virtual facilities through the use of CoDIE.
本文介绍了一种新的协作和分布式智能环境的开发,该环境支持地理上分散的人(包括智能系统)之间的协作。协同分布式智能环境将物理空间、文档、人员、物理设施设备、虚拟环境、协同控制、分布式远程操作、决策等混合现实无缝融合到一个共享的协同空间中。这种方法旨在超越时间和物理限制,弥合现实与虚拟之间的差距。这些能力是通过设计和实现创新、交互、共享、3D多用户协作和分布式智能环境(CoDIE)来实现的。CoDIE代表了一种嵌入式系统的集成方法,它提供了管理分布式环境和资源的能力,人们可以远程访问环境,而其他人则与环境智能技术支持的物理对等物搭配在一起。已开发的环境可以用作广泛应用程序领域的隐喻,以集成分布式资源、支持同步和异步协作、分布式远程操作、协作控制,并使人们能够超越时间和物理限制进行工作。演讲介绍了CoDIE的概念,并描述了它的四层架构以及与它的开发和实现相关的关键特性和功能。最后,简要介绍了利用CoDIE开发分布式物理和虚拟设施相结合的教育培训机器人中心。
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引用次数: 7
A performance-driven incentive-based approach for successful service delivery 以绩效为导向,以激励为基础的成功服务交付方法
Olivia Fachrunnisa
This paper proposes an appropriate incentive scheme design for service delivery systems to ensure service deliverability. We use proactive continuous performance monitoring to provide qualitative observations and data on how well services are being provided and whether desired service outcomes are being achieved as a result of interaction between two parties (service provider and service requester). The paper provides a general framework for analyzing the effectiveness of incentive and proactive continuous monitoring in ensuring successful service delivery. The objective of the incentive is to motivate the service provider to deliver service as agreed to by both parties. We show the robustness of the framework by running several simulations under various conditions. It is shown that proactive continuous monitoring and incentive are essential for increasing performance which will result in successful service delivery.
本文提出了一种适当的服务提供系统激励方案设计,以保证服务的可交付性。我们使用主动的连续性能监控来提供定性观察和数据,说明服务提供得如何,以及双方(服务提供者和服务请求者)之间的交互是否实现了预期的服务结果。本文提供了一个总体框架,用于分析激励和主动持续监测在确保成功提供服务方面的有效性。激励的目的是激励服务提供者按照双方的约定提供服务。我们通过在不同条件下运行多个模拟来证明该框架的鲁棒性。研究表明,积极主动的持续监测和激励是提高绩效的关键,这将导致成功的服务交付。
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引用次数: 1
Double burst error correction method: Case of interference incidents during data transmission in wired channels 双突发纠错方法:有线信道数据传输过程中发生干扰事件的情况
N. Bardis, N. Doukas, O. Markovskyi
Digital Ecosystems are largely driven by capabilities and infrastructures offered by cyber engineering, such as security, trust and risk containment. This paper seeks to promote trust in the reliability of cyber infrastructure systems by introducing an innovative technique for efficient correction of burst errors that have been caused by single or double interference incidents during data transmission in wired channels. Bridging the gap that common error correction codes have caused because of the extremely high complexity of the encoding and decoding processes, the proposed method obtains reliable double burst error correction reducing both time complexity of processes involved and redundancy. The method that relies on a modification of the weighted checksum is presented and several issues such as the steps for the computation of the control code, the categorization and the correction of bursts of distorted bits as well as the requirements for the selection of weight coefficients are analyzed. Finally, the superiority of the technique is showed via the illustration of relevant examples.
数字生态系统在很大程度上是由网络工程提供的能力和基础设施驱动的,比如安全、信任和风险控制。本文旨在通过引入一种创新技术来有效纠正有线信道中数据传输过程中由单次或双次干扰事件引起的突发错误,从而提高对网络基础设施系统可靠性的信任。该方法弥补了普通纠错码由于编码和解码过程的极高复杂性所造成的缺陷,在减少过程时间复杂度和冗余的同时,获得了可靠的双突发纠错。提出了一种改进加权校验和的方法,分析了控制码的计算步骤、畸变码的分类和校正以及权重系数的选择要求等问题。最后,通过相关实例说明了该技术的优越性。
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引用次数: 0
期刊
5th IEEE International Conference on Digital Ecosystems and Technologies (IEEE DEST 2011)
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