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2008 Third International Conference on Digital Information Management最新文献

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Remote controlled flying robot platform 遥控飞行机器人平台
Pub Date : 2008-11-01 DOI: 10.1109/ICDIM.2008.4746850
H. Haehnel
Interactive, distributed and mobile applications can be expected in many areas of life play an increasing role and diverse opportunities for new technologies and products offer. This is particularly true for application areas of industry, which by current multimedia technologies a great potential for innovation. The paper focuses on the MoVeIT research project and at this point to specific scenarios, in which flying robot platforms over heterogeneous networks will controlled remotely.
交互式、分布式和移动应用程序可以预期在生活的许多领域发挥越来越大的作用和多样化的新技术和产品提供的机会。这对于工业应用领域来说尤其如此,因为目前的多媒体技术具有很大的创新潜力。本文的重点是MoVeIT研究项目,在这一点上,具体的场景,其中飞行机器人平台在异构网络将远程控制。
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引用次数: 5
Approximation algorithm using: Neighbors, history and errors (NHE) 使用邻域、历史和误差(NHE)的近似算法
Pub Date : 2008-11-01 DOI: 10.1109/ICDIM.2008.4746723
Maytham Safar, Nisreen Al-Masri
In this work we design an approximation algorithm using neighbors, history and errors (NHE algorithm) to analyze and approximate the behavior of sensors readings after it fails. NHE algorithm computes and associates a specific equation to each sensor that has factors computed using neighbors, history data and the approximation error as a feedback factor. In some cases, it is difficult to reach each sensor to read its value either due to a connection problem or the sensor itself is down and not reachable. In those cases, NHE algorithm uses the evaluated equations to approximate this down sensor reading. The results of the experiments using this algorithm prove that it is powerful but with specific constraints.
在这项工作中,我们设计了一个使用邻居,历史和误差的近似算法(NHE算法)来分析和近似传感器读数失效后的行为。NHE算法为每个传感器计算并关联一个特定的方程,这些传感器使用邻居、历史数据和近似误差作为反馈因子计算因子。在某些情况下,由于连接问题或传感器本身关闭而无法到达,很难到达每个传感器以读取其值。在这些情况下,NHE算法使用评估的方程来近似这个向下传感器读数。实验结果表明,该算法功能强大,但有一定的约束条件。
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引用次数: 0
PROMETHEE-based recommender system for multi-sort recommendations in on-line stores 基于promethee的在线商店多类别推荐系统
Pub Date : 2008-11-01 DOI: 10.1109/ICDIM.2008.4746743
Arash Niknafs, N. M. Charkari, A. Niknafs
Recommender systems, as effective approaches to information overload issue, have attracted researcherspsila attention especially in the field of electronic commerce. They provide personalized recommendations on products/services to customers. From a sellerpsilas point of view the process of recommendation is a multi-criteria decision problem. So the recommender systems can also be seen as decision support systems which help a seller to decide and choose suitable items for recommendation. This study proposes a novel design of recommender systems for product recommendation to new users -by collecting both implicit and explicit information- based on the PROMETHEE II methodology which is a well known multi-criteria decision analysis out-ranking method. We also experienced the recommendation from different but relevant sorts of items in this design. The performance of the proposed recommendation algorithm is tested with real world data. Experimental results reveal that the proposed system is feasible and can yield satisfactory recommendations.
推荐系统作为解决信息过载问题的有效途径,尤其在电子商务领域受到了研究者的广泛关注。他们为客户提供个性化的产品/服务推荐。从卖家的角度来看,推荐过程是一个多准则决策问题。因此,推荐系统也可以被视为决策支持系统,帮助卖家决定和选择合适的商品进行推荐。本研究提出了一种新颖的推荐系统设计,通过收集隐式和显式信息向新用户推荐产品,该系统基于PROMETHEE II方法,这是一种众所周知的多标准决策分析超越排名方法。在这次设计中,我们也经历了不同但相关的项目的推荐。用真实世界的数据测试了所提出的推荐算法的性能。实验结果表明,该系统是可行的,并能产生令人满意的建议。
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引用次数: 3
Visual SBVR 视觉SBVR
Pub Date : 2008-11-01 DOI: 10.1109/ICDIM.2008.4746768
Prakash Musham, Sharad Singh, Rashi Bahal, Prabhakar Tv
The SBVR (semantics of business vocabulary and rules) vocabulary and rules can be represented in different ways like structured English, RuleSpeak business rule notation and ORM Notation etc. These are textual notations and they wonpsilat help in understanding the meaning of a business rule at a glance. In this paper we are proposing a visual notation for SBVR which enables easy comprehension of the rules. We also demonstrate its feasibility and utility by building an editor tool.
SBVR(业务词汇表和规则的语义)词汇表和规则可以用不同的方式表示,比如结构化英语、RuleSpeak业务规则表示法和ORM表示法等。这些都是文本符号,它们无助于一目了然地理解业务规则的含义。在本文中,我们提出了一种可视化的SBVR符号,使规则易于理解。我们还通过构建一个编辑器工具来演示其可行性和实用性。
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引用次数: 6
Peer-to-peer searching mechanisms for location-aware contents with time-dependent importance 具有时间相关性的位置感知内容的点对点搜索机制
Pub Date : 2008-11-01 DOI: 10.1109/ICDIM.2008.4746733
Kentaro Takahashi, K. Harumoto, S. Nishio
Recently, peer-to-peer (P2P) networking has become popular, and is being expected as a content sharing platform for ubiquitous networking. In ubiquitous networking, the notions of location and time are essential. Although some location-based P2P networks have been proposed, they only consider locations, and the notion of time has not been considered. In this paper, we propose P2P searching mechanisms for location-aware contents with time-dependent importance, which enables us to retrieve contents with high importance in time period specified in a query. The proposed mechanisms are based on a location-based P2P network, and each peer establishes additional links to peers within n-hops. Each peer also manages a link table, which records location and time-dependent importance of contents that its linked peers hold. Using the link table, a time-specified query is forwarded selectively to neighboring peers. Simulation results show that the proposed mechanisms enable us to search contents with high relevance while keeping network traffic low.
最近,点对点(P2P)网络开始流行起来,并被期望作为无处不在的网络的内容共享平台。在无处不在的网络中,位置和时间的概念是必不可少的。虽然已经提出了一些基于位置的P2P网络,但它们只考虑位置,而没有考虑时间的概念。在本文中,我们提出了具有时间依赖性重要性的位置感知内容的P2P搜索机制,使我们能够在查询中指定的时间段内检索到高重要性的内容。所提出的机制基于基于位置的P2P网络,每个对等点在n跳内建立到对等点的额外链接。每个对等点还管理一个链接表,该表记录其链接对等点持有的内容的位置和与时间相关的重要性。通过链路表,可以有选择地将指定时间的查询转发给相邻的对等体。仿真结果表明,所提出的机制使我们能够在保持低网络流量的情况下搜索高相关性的内容。
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引用次数: 0
Analysis of machine learning techniques for context extraction 上下文提取的机器学习技术分析
Pub Date : 2008-11-01 DOI: 10.1109/ICDIM.2008.4746809
M. Granitzer, Mark Kröll, C. Seifert, Andreas S. Rath, Nicolas Weber, Olivia Dietzel, Stefanie N. Lindstaedt
dasiaContext is keypsila conveys the importance of capturing the digital environment of a knowledge worker. Knowing the userpsilas context offers various possibilities for support, like for example enhancing information delivery or providing work guidance. Hence, user interactions have to be aggregated and mapped to predefined task categories. Without machine learning tools, such an assignment has to be done manually. The identification of suitable machine learning algorithms is necessary in order to ensure accurate and timely classification of the userpsilas context without inducing additional workload. This paper provides a methodology for recording user interactions and an analysis of supervised classification models, feature types and feature selection for automatically detecting the current task and context of a user. Our analysis is based on a real world data set and shows the applicability of machine learning techniques.
dasiaContext是键盘,它传达了捕获知识工作者的数字环境的重要性。了解用户的上下文为支持提供了各种可能性,例如增强信息传递或提供工作指导。因此,必须聚合用户交互并将其映射到预定义的任务类别。如果没有机器学习工具,这样的任务必须手动完成。识别合适的机器学习算法是必要的,以确保在不引起额外工作量的情况下准确及时地对用户的上下文进行分类。本文提供了一种记录用户交互的方法,并分析了用于自动检测用户当前任务和上下文的监督分类模型、特征类型和特征选择。我们的分析基于真实世界的数据集,并展示了机器学习技术的适用性。
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引用次数: 24
Flexible Question Answering System for mobile devices 灵活的移动设备问答系统
Pub Date : 2008-11-01 DOI: 10.1109/ICDIM.2008.4746794
Daniel Ortiz Arroyo
This paper presents a flexible question answering system (FQAS) for mobile wireless devices. FQAS comprises a fuzzy logic-based information retrieval (IR) system together with a question answering system that employs information extraction techniques and passage retrieval mechanisms. The IR system includes techniques such as fuzzy term mining and concept clustering. The information extraction module recognizes and extracts relevant information from tables embedded in Web pages at specialized Web sites. The passage retrieval system determines the passage in a document collection that most likely contains the answer to a question. Our current prototype is capable of answering queries and questions within the chosen football (soccer) test domain.
提出了一种适用于移动无线设备的柔性问答系统。FQAS包括一个基于模糊逻辑的信息检索(IR)系统和一个采用信息提取技术和段落检索机制的问答系统。该系统包括模糊词挖掘和概念聚类等技术。信息提取模块从嵌入在专门Web站点的Web页面中的表中识别和提取相关信息。段落检索系统确定文档集合中最有可能包含问题答案的段落。我们当前的原型能够回答所选足球(soccer)测试域内的查询和问题。
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引用次数: 3
Acceptance, usability and usefulness of WebLab-Deusto from students point of view 从学生的角度来看,WebLab-Deusto的可接受性、可用性和有用性
Pub Date : 2008-11-01 DOI: 10.3991/ijoe.v5i1.817
J. García-Zubía, U. Hernández-Jayo, I. Angulo, P. Orduña, J. Irurzun
In the engineering curriculum, remote labs are becoming a popular learning tool. The advantages of these laboratories and the different deployments have been analyzed many times, but in this paper we want to show the results of the evaluation of WebLab-Deusto as a learning tool. This work is focused on the subjects programmable logic (PL) in the third year of Automation and Electronics Engineering and in Electronics Design (ED) of the fifth year of the same degree. The paper presents the results of the surveys done by students since 2004. This survey consists of fifteen questions and its main objective is to measure the acceptance, usability and usefulness of the remote laboratory developed at University of Deusto.
在工程课程中,远程实验室正在成为一种流行的学习工具。这些实验室的优势和不同的部署已经分析了很多次,但在本文中,我们想展示WebLab-Deusto作为学习工具的评估结果。本工作主要针对自动化与电子工程专业第三年的可编程逻辑(PL)和同一学位专业第五年的电子设计(ED)的课程。本文介绍了自2004年以来对学生进行的调查结果。这项调查包括15个问题,其主要目的是衡量在德乌斯托大学开发的远程实验室的接受度,可用性和有用性。
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引用次数: 29
DVM based Dynamic VPN Architecture for Group Working and Orchestrated Distributed Computing 基于DVM的动态VPN体系结构用于组工作和编排分布式计算
Pub Date : 2008-11-01 DOI: 10.1109/ICDIM.2008.4746698
Yiran Gao, C. Phillips, Liwen He
The dynamic VPN (DVPN) manager (DVM) works as the autonomous system (AS) administrator in the DVPN system to perform resource scheduling and liaise with the underlying connection management. A novel genetic algorithm based resource scheduling algorithm is proposed; simulation results show that this algorithm is both feasible and efficient for use in DVPN scenarios.
动态VPN (dynamic VPN)管理器DVM (autonomous system)是DVPN系统中的as (autonomous system)管理员,负责资源调度和底层连接管理的对接。提出了一种新的基于遗传算法的资源调度算法;仿真结果表明,该算法在DVPN场景下是可行且高效的。
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引用次数: 3
Availability measurement in peer to peer network management systems 点对点网络管理系统中的可用性度量
Pub Date : 2008-11-01 DOI: 10.1109/ICDIM.2008.4746765
Ouldooz Baghban Karimi, S. Yousefi, M. Fathy, M. Mazoochi
Scalability, decentralized processing time and power and also eliminating the single point of failure are some of the benefits of using peer to peer systems for management purposes. There has been little effort on formulating or evaluating different important factors of network management in P2P management networks. As an important factor wepsilave focused on availability in network management systems. In this paper, we propose our framework for networks management, formulate availability in this platform. Then we provide an algorithm that helps to increase data availability in P2P management networks.
可伸缩性、分散的处理时间和功率以及消除单点故障是使用点对点系统进行管理的一些好处。在P2P管理网络中,对网络管理中各种重要因素的制定和评价一直缺乏研究。作为一个重要的因素,我们一直关注网络管理系统的可用性。在本文中,我们提出了我们的网络管理框架,制定了该平台的可用性。在此基础上,提出了一种提高P2P管理网络中数据可用性的算法。
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引用次数: 1
期刊
2008 Third International Conference on Digital Information Management
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