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2012 Ninth International Conference on Information Technology - New Generations最新文献

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A Mobile Data Analysis Framework for Environmental Health Decision Support 环境卫生决策支持的移动数据分析框架
Wan D. Bae, Shayma Alkobaisi, Sada Narayanappa, Cheng C. Liu
Relations between negative health effects like asthma and lung cancer and elevated levels of the environmental factors, such as air pollution, tobacco smoke and humidity, have been detected in several large scale exposure studies. Thus, public health care and service systems require the ability to track, monitor, store, and analyze individual moving trajectories along with several environmental conditions the individual is exposed to in order to identify meaningful relationships among theses data and derive conclusions for environmental health decision support. With continued advances in information technology, patients can be monitored with numerous intelligent devices. Sensors can be integrated into their mobile devices such as smart phones for continuous health assistance and disease attack prevention. However, researchers must overcome many challenges, such as data acquisition, data scales and data uncertainty, in order to develop a real-time health monitoring system. In this paper, we propose a system framework for modeling and analyzing individual exposure to environmental triggers of asthma attacks. The proposed system can provide a tool to develop more accurate asthma prevention and care plans enabled by real-time patient monitoring and communication through alerts for potential environmental triggers.
在几项大规模接触研究中,发现了哮喘和肺癌等负面健康影响与空气污染、烟草烟雾和湿度等环境因素水平升高之间的关系。因此,公共卫生保健和服务系统需要能够跟踪、监测、存储和分析个人的运动轨迹以及个人所暴露的几种环境条件,以便确定这些数据之间有意义的关系,并得出环境卫生决策支持的结论。随着信息技术的不断进步,患者可以通过许多智能设备进行监测。传感器可以集成到智能手机等移动设备中,以实现持续的健康援助和疾病预防。然而,研究人员必须克服数据采集、数据规模和数据不确定性等诸多挑战,才能开发出实时健康监测系统。在本文中,我们提出了一个系统框架来建模和分析个体暴露于哮喘发作的环境触发因素。该系统可以提供一种工具,通过对潜在环境触发因素的实时患者监测和沟通,制定更准确的哮喘预防和护理计划。
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引用次数: 14
Knowledge Services and Knowledge Building in E-learning 电子学习中的知识服务与知识建设
Xinyu Zhang, Yuhao Luo, Zhaohui Liang
Knowledge service seeks to provide useful knowledge and information to users via various techniques. Based on the study of the contemporary researches of knowledge service, this paper proposed a model of knowledge service based on knowledge building of E-learning.
知识服务旨在通过各种技术向用户提供有用的知识和信息。本文在研究当前知识服务研究的基础上,提出了一种基于E-learning知识构建的知识服务模式。
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引用次数: 1
Predicting Future Climate Using Algae Sedimentation 利用藻类沉积预测未来气候
Jasdeep Natt, R. Hashemi, A. Bahrami, M. Bahar, N. Tyler, J. Hodgson
Biologists have shown that algae are the first to be implicated in climate changes and vice versa. The goal of this research effort is to predict the future climate using algae species living in a lake in the past. On performing age depth profile analysis on the sediment core obtained from the bottom of Jewel Lake in Alaska, a dataset of 163 records is derived. The 163 records collectively represent 4,308 years interval. Each record is composed of 86 attributes: Year, 84 species of algae, and Climate. The relevancy analysis of the attributes of the dataset identified only four species relevant to climate. An extrapolation system's Architecture with two stages of prediction process fit to meet the goal of this research effort. Three different predictive models of regression analysis, neural network, and ID3 were investigated for possible use in development of the extrapolation system resulting in four possible ways among which the best one uses neural networks in both stages. The best extrapolation system was able to predict climate for a year in future, within the next 278 years, with the average accuracy of 80%.
生物学家已经证明,藻类是第一个与气候变化有关的物种,反之亦然。这项研究的目的是利用过去生活在湖泊中的藻类物种来预测未来的气候。对阿拉斯加宝石湖湖底沉积物岩心进行了年龄深度剖面分析,得到了163条记录的数据集。163条记录的时间间隔为4308年。每条记录由86个属性组成:年份、84种藻类和气候。数据集属性的相关性分析只确定了四种与气候相关的物种。具有两阶段预测过程的外推系统体系结构适合于本研究的目标。研究了回归分析、神经网络和ID3三种不同的预测模型在外推系统开发中的可能应用,得出了四种可能的方法,其中最好的方法是在两个阶段都使用神经网络。最好的外推系统能够预测未来一年的气候,即未来278年的气候,平均准确率为80%。
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引用次数: 4
Retargetable Netlists Generation and Structural Synthesis Based on a Meta Hardware Description Language: Melasy+ 基于元硬件描述语言Melasy+的可重目标网络表生成和结构合成
Sho Nishida, K. Wasaki
We are developing a compiler system, Melasy+, which is at a level higher than compiler systems of various model-checking and hardware description languages. Melasy+ describes a single code and allows model-checking and operation tests on an actual machine via a code generator for each language. In this study, for an XML intermediate representation code that was output by Melasy+, the elements of the target circuit are analyzed to generate a detailed list and then static analysis of the circuit is carried out. The net list after regeneration is a digraph and the meta-information obtained in the analysis is given to its edge.
我们正在开发一个编译器系统,Melasy+,它比各种模型检查和硬件描述语言的编译器系统更高一级。Melasy+描述了单个代码,并允许通过每种语言的代码生成器在实际机器上进行模型检查和操作测试。在本研究中,对于Melasy+输出的XML中间表示代码,首先对目标电路的元件进行分析,生成详细的列表,然后对电路进行静态分析。再生后的网表是一个有向图,分析得到的元信息被赋给它的边。
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引用次数: 2
Sharing in Social News Websites: Examining the Influence of News Attributes and News Sharers 社会新闻网站的分享:新闻属性和新闻分享者的影响
Long Ma, C. S. Lee, D. Goh
Social news websites (e.g. Digg, Reddit) have become a new and influential global phenomenon. Such websites present opportunities for individuals to participate in news creation and diffusion and thus have fundamentally transformed the ways people consume and share news. Yet, despite the popularity of these websites, factors influencing news sharing are not well documented. Hence, the objective of this study is to understand the determinants of news sharing in social news websites by examining the influence of news attributes as well as news sharers. A sample of 552 news stories was collected from a well-known and established social news website. Regression analysis was employed to analyze the data. Results indicated that in terms of news attributes, both the salience of news content and types of news were significant predictors of news sharing in social news websites. Specifically, news stories attracting more comments from users were more likely to be shared. We also found that soft news (e.g. sports and entertainment) were more frequently shared than hard news (e.g. politics and business). Contrary to expectations, the influence of news sharers did not significantly impact the extent of news sharing. The implications of the findings and directions for future research are discussed.
社会新闻网站(如Digg, Reddit)已经成为一个新的和有影响力的全球现象。这些网站为个人提供了参与新闻创作和传播的机会,从而从根本上改变了人们消费和分享新闻的方式。然而,尽管这些网站很受欢迎,但影响新闻分享的因素并没有得到很好的记录。因此,本研究的目的是通过考察新闻属性和新闻分享者的影响来了解社会新闻网站中新闻分享的决定因素。从一个知名的、成熟的社会新闻网站上收集了552个新闻故事。采用回归分析对数据进行分析。结果表明,在新闻属性方面,新闻内容的显著性和新闻类型都是社交新闻网站新闻分享的显著预测因子。具体来说,吸引更多用户评论的新闻故事更有可能被分享。我们还发现,软新闻(如体育和娱乐)比硬新闻(如政治和商业)更常被分享。与预期相反,新闻分享者对新闻分享程度的影响并不显著。讨论了研究结果的意义和未来的研究方向。
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引用次数: 8
An Empirical Study on Forecasting Using Decomposed Arrival Data of an Enterprise Computing System 企业计算系统到达数据分解预测的实证研究
Linh Ngo, A. Apon, D. Hoffman
This research utilizes several well known forecasting techniques in combination with Empirical Mode Decomposition (EMD) to investigate the trade-offs of EMD's decomposition (sifting) step for forecasting the arrival workload of an enterprise cluster. The research is based on earlier work on the forecasting potential of EMD. Results show that EMD helps to improve forecasting results. Parallelization is used to perform extensive investigation across the full range of data. Future research is to increase the statistical confidence in the level of improvements possible when EMD is used as a decomposition method for forecasting.
本研究利用几种众所周知的预测技术,结合经验模式分解(EMD)来研究EMD的分解(筛选)步骤在预测企业集群到达工作量方面的权衡。这项研究是基于早期关于EMD预测潜力的工作。结果表明,EMD有助于提高预测结果。并行化用于在整个数据范围内执行广泛的调查。未来的研究是增加统计信心,当EMD被用作预测的分解方法时,可能的改进水平。
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引用次数: 2
An IT-based System to Facilitate Architectural Design 以资讯科技为基础的系统促进建筑设计
K. Ardekani, A. Ardekani
In the recent decades, Information Technology has had a great influence on many aspects of human's life. Electronic mails, electronic commerce, and the World Wide Web are examples of revolutionary ideas which changed human's life. There have also been many efforts in the field of adopting IT tools in architectural design and building construction. Many of these efforts are sparse and lack a well-designed cohesive scenario. In this paper, we present a revolutionary system architecture to facilitate all levels of architectural design by connecting parts involved in the process of designing and construction, exploiting capabilities of today's and future's IT tools. This system can further be adopted and enriched in a top-down sense by engineers and software developers working in various fields of computer science and engineering.
近几十年来,信息技术对人类生活的许多方面产生了巨大的影响。电子邮件、电子商务和万维网都是改变人类生活的革命性思想的例子。在建筑设计和建筑施工中采用IT工具方面也做了很多努力。许多这样的努力是稀疏的,并且缺乏一个设计良好的有凝聚力的场景。在本文中,我们提出了一个革命性的系统架构,通过连接设计和构建过程中涉及的部分,利用当今和未来的IT工具的能力,来促进所有级别的架构设计。在计算机科学和工程的各个领域工作的工程师和软件开发人员可以在自上而下的意义上进一步采用和丰富这个系统。
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引用次数: 1
An Efficient Geo-aware Peer-to-Peer Resource Discovery and Sharing Scheme in Vehicular Ad-hoc Networks 车载Ad-hoc网络中一种高效的地理感知点对点资源发现与共享方案
Pub Date : 2012-04-16 DOI: 10.1504/IJAHUC.2013.058507
C. Dow, Pei-Jung Lin, Yu-Hong Lee, Ya-Chen Lin, Shiow-Fen Hwang
Vehicles may move at high speed in vehicular ad-hoc networks (VANETs) and the network topology changes arbitrarily as the nodes move. Vehicles may not find suitable resources because sharing information could quickly become obsolete or irrelevant resources. This paper proposes an efficient geo-aware Peer-to-Peer (P2P) search mechanism to enable resource discovery and sharing in VANETs. We propose discovery and sharing schemes based on the virtual backbone architecture, and then limit the data exchanging region to reduce unnecessary message transmissions. Because the resource node changes very fast, the coordinator must be set to maintain the local node of geographic information in the network. In this scheme, coordinators are established to store information and manage local resource information. In order to ensure dissemination performance, it must guarantee that vehicles possess enough resource pieces to allow efficient bartering. Furthermore, three kinds of piece selection mechanisms, including Nearest-First, Rarest-First, and In-Order are proposed to download resource pieces from other vehicles and to improve the dissemination efficiency. Experiment results demonstrate that our searching and sharing schemes are efficient and outperforms other schemes in terms of satisfactory ratio and download time.
在车辆自组织网络(vanet)中,车辆可能高速移动,网络拓扑结构随节点的移动而任意变化。车辆可能找不到合适的资源,因为共享信息可能很快成为过时或不相关的资源。本文提出了一种高效的地理感知点对点(P2P)搜索机制,以实现vanet中的资源发现和共享。我们提出了基于虚拟骨干网架构的发现和共享方案,然后限制数据交换区域以减少不必要的消息传输。由于资源节点变化非常快,必须设置协调器来维护网络中地理信息的本地节点。在该方案中,通过建立协调器来存储信息和管理本地资源信息。为了保证传播效果,必须保证车辆拥有足够的资源块,以便进行有效的物物交换。在此基础上,提出了Nearest-First、Rarest-First和In-Order三种资源片段选择机制,用于从其他车辆上下载资源片段,提高传播效率。实验结果表明,我们的搜索和共享方案是有效的,在满意率和下载时间方面优于其他方案。
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引用次数: 6
Using Chatbots to Teach Socially Intelligent Computing Principles in Introductory Computer Science Courses 在计算机科学入门课程中使用聊天机器人教授社会智能计算原理
A. Shaw
Teaching "socially intelligent computing" concepts in introductory computer science courses is possible through curricular projects that involve students developing their own collaborative chatbots. Chat bots are programs that interact with users in a conversational context. Introductory CS students can write these types of programs using a framework of Peer-to-Peer (P2P) libraries presented in this poster paper. When the students build chat bots that collaborate with one another, the students are introduced to a branch of machine intelligence called socially intelligent computing.
在计算机科学入门课程中教授“社会智能计算”概念,可以通过课程项目让学生开发自己的协作聊天机器人。聊天机器人是在会话环境中与用户交互的程序。计算机科学入门课程的学生可以使用这张海报中提供的点对点(P2P)库框架来编写这些类型的程序。当学生们构建彼此协作的聊天机器人时,学生们就会接触到机器智能的一个分支——社交智能计算。
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引用次数: 15
Automatic Coverage Evaluation for a Medical Expert System 医学专家系统的自动覆盖评估
Ahmad Eyadat, I. Alsmadi
It is always important to test software products to ensure that they are correct and are built according to the specified requirements. Testing may not only occur after developing the software product. In the other stages of the software development process (e.g. requirement and design stages) testing may occur to detect errors early which can be more effective in saving project scarce resources. In this paper, an expert system is built for dental clinical treatment. A graph is automatically generated based on a formal model built for possible diseases and symptoms related to dental clinics. Later on, a software application is built to automatically generate, execute and verify test cases from the dental expert system formal model. Coverage is also evaluated based on the graph: nodes, edges and paths. Initial test results showed problems with the developed formal model in producing several dead lock paths. Several cycles of improvements to the model were implemented based on the test output and coverage results. Results showed that such approach can be very useful in evaluating expert systems in general.
测试软件产品以确保它们是正确的,并且是根据指定的需求构建的,这总是很重要的。测试可能不仅仅发生在开发软件产品之后。在软件开发过程的其他阶段(例如需求和设计阶段),可能会进行测试,以便尽早发现错误,从而更有效地节省项目稀缺的资源。本文建立了一个面向牙科临床治疗的专家系统。基于为与牙科诊所相关的可能疾病和症状构建的正式模型,自动生成图形。然后,构建一个软件应用程序来自动生成、执行和验证来自牙科专家系统形式化模型的测试用例。覆盖也基于图:节点、边和路径来评估。最初的测试结果表明,所开发的形式模型在产生几个死锁路径时存在问题。基于测试输出和覆盖率结果,对模型进行了几个周期的改进。结果表明,这种方法在一般的专家系统评价中是非常有用的。
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引用次数: 1
期刊
2012 Ninth International Conference on Information Technology - New Generations
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