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An improved algorithm on micro-blog community detection 一种改进的微博社区检测算法
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765503
Z. Ma, Xin Shu, Guanghui Yan
Micro-blogging is becoming increasingly prevalent in global world, which not only subverts the traditional means of communication, but also changes the entire media environment. Discovery of micro-blog community is of great value. However, the classical community discovery algorithms are generally based on links or interests only to recognize the traditional single community and limited to detect micro-blog communities effectively. Sometimes interaction among users is characterized by user's social information, but it's difficult to obtain in micro-blog. This work introduces the social network model based on the new social-networking characteristic called "following" which is employed in micro-blog. Based on the label propagation algorithm, we adopt the users' relationship, which was defined as the interaction from topic and hyperlink relations, and propose a micro-blog label propagation algorithm to detect communities. The experiment results on a real-world micro-blog dataset illustrate the reasonable and effective of our method. Experiment results over a real-world micro-blog data set illustrate the effectiveness and efficiency provided by our approach.
微博在全球越来越流行,它不仅颠覆了传统的传播方式,也改变了整个媒体环境。发现微博社区是很有价值的。然而,传统的社区发现算法一般都是基于链接或兴趣来识别传统的单一社区,在有效检测微博社区方面受到限制。有时用户之间的交互以用户的社交信息为特征,但在微博中很难获得。本文介绍了基于微博中应用的一种新的社交网络特征“跟随”的社交网络模型。在标签传播算法的基础上,采用用户关系(定义为话题关系和超链接关系的相互作用),提出了一种微博标签传播算法来检测社区。在真实微博数据集上的实验结果验证了该方法的合理性和有效性。在真实微博数据集上的实验结果证明了我们的方法的有效性和效率。
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引用次数: 0
Exploring the antecedents of electronic word-of-mouth communication: Using involvement perspective 探讨电子口碑传播的前因:运用涉入视角
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765486
Hsiu-Hua Cheng, Jia-Jun Li
With the advance of the World Wide Web, more and more people learn new knowledge and share information from traditional face-to-face communication to online communities on the Internet. An online community is a platform on the Internet, where members read articles, post comments, and interact with other members. However, in operating and maintaining an online community for a long term, many community managers face this problem: many community members only browse articles of their interest; they do not post new articles, comments, replies, or provide any meaningful information. Facing this problem, community managers should realize why members share and provide information. This study regards involvement as a motive to explore word-of-month communication (a sharing behavior) and develops two antecedent variables: cognitive involvement and affective involvement. It seeks to know how these two types of involvement motivate members to perform electronic word-of-month communication. At last, this study aims to provide online community managers with better solutions and suggestions to work on their communities.
随着万维网的发展,越来越多的人从传统的面对面交流到互联网上的在线社区来学习新知识和分享信息。在线社区是互联网上的一个平台,成员可以在这里阅读文章、发表评论并与其他成员互动。然而,在长期运营和维护一个在线社区的过程中,许多社区管理者都面临着这样的问题:许多社区成员只浏览他们感兴趣的文章;他们不发表新的文章,评论,回复,或提供任何有意义的信息。面对这个问题,社区管理者应该认识到为什么成员分享和提供信息。本研究将投入作为动机来探讨月字传播(一种分享行为),并开发了两个前因变量:认知投入和情感投入。它试图了解这两种类型的参与是如何激励会员进行电子月词交流的。最后,本研究旨在为网络社区管理者提供更好的解决方案和建议。
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引用次数: 0
A novel clustering method for animal trajectory analysis using Wireless Sensor Network 一种基于无线传感器网络的动物轨迹聚类分析方法
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765442
Q. H. Vu, Meijing Li, Vu Thi Hong Nhan, K. Ryu
Animal plays an important role in our Earth, researching the movements of animals is very helpful for us to conserve rare and precious species as well as food exploration. In this paper, we employ Wireless Sensor Networks (WSNs) with the potential for highly increased spatial and temporal resolution of measurement data. Hence WSNs promise enhanced tracking of animals without human intervention. To help experts making a better species and habitat assessment as well as conversation strategies, we propose an Extended Hierarchical Path clustering eHPCl method for analyzing the mobility of wild animals. A predictive mobility algorithm is also presented, which help experts solve the problems in data allocation and management. A system that simulates the mobility of animals is implemented. Performance of the proposed method is finally evaluated in terms of running time and estimation accuracy.
动物在我们的地球上扮演着重要的角色,研究动物的运动对我们保护珍稀物种和寻找食物都很有帮助。在本文中,我们采用无线传感器网络(WSNs)具有高度增加测量数据的空间和时间分辨率的潜力。因此,无线传感器网络有望在没有人为干预的情况下增强对动物的跟踪。为了帮助专家更好地评估物种和栖息地以及制定对话策略,我们提出了一种用于分析野生动物迁移的扩展层次路径聚类eHPCl方法。提出了一种预测移动算法,帮助专家解决数据分配和管理问题。实现了一个模拟动物移动的系统。最后从运行时间和估计精度两方面对所提方法的性能进行了评价。
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引用次数: 1
An efficient pressure-aware character input algorithm for mobile phones 一个有效的压力感应字符输入算法的手机
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765432
Masafumi Matsuhara, Miki Itoh, G. Chakraborty, H. Mabuchi
Opportunities and needs are increasing to input Japanese sentences on mobile phones since performance of mobile phones is improving. Applications like E-mail, Web search and so on are widely used on mobile phones now. We need to input Japanese characters using only 12 keys on mobile phones. The letter cycling input method is most commonly used for the input of characters on mobile phones. In this method, a chosen key represents a consonant and the number of pressing it represents a vowel in Japanese. It is troublesome for a user because the input method needs several key-presses per Kαηα-character. We propose a pressure-aware input method for mobile phones. In our proposed method, a user is able to input a Kαηα-character per key-press. The pressed key represents several Kαηα-characters and has ambiguity. Our proposed method uses pressure of the pressed key for the disambiguation. Strength of a key-pressure means a vowel in our proposed method. A user presses a key by the pressure-strength corresponding to the intended vowel. Therefore, a user is able to input a Kαηα-character per key-press and input Japanese characters rapidly. Our proposed method corrects the errors in Kana-Kanji translation since the Kana-characters inputted by pressure may have errors. Thus, our proposed method enables us to realize rapid input of Japanese text on mobile phones. We show processes of our proposed method and also show the effectiveness of our proposed method by the result of the evaluation experiment.
随着手机性能的提高,在手机上输入日语句子的机会和需求也在增加。像电子邮件、网络搜索等应用程序现在在手机上被广泛使用。我们需要在手机上只使用12个键输入日文。字母循环输入法是在手机上最常用的输入法。在这种方法中,选择的键代表一个辅音,按它的次数代表一个元音。这对用户来说很麻烦,因为每个k α αηα-字符需要按几个键。我们提出了一种手机压力感应输入法。在我们提出的方法中,用户每次按键可以输入k αηα-字符。按下的键代表几个k α αηα-字符,有歧义。我们提出的方法使用按下的键的压力来消除歧义。在我们提出的方法中,键压的强度意味着元音。用户按下相应元音的压力强度键。因此,用户可以每次按键输入k αηα-字符,并且可以快速输入日文。我们提出的方法纠正了假名汉字翻译中由于压力输入的假名字符可能存在的错误。因此,我们提出的方法使我们能够在手机上实现日语文本的快速输入。通过评价实验的结果说明了所提方法的过程,并证明了所提方法的有效性。
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引用次数: 2
A research of critical factors in the the enterprise adoption of cloud service 企业采用云服务的关键因素研究
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765485
Chouyin Hsu, Hsing-I Wang
Cloud is essentially a flexible and scalable model for the way IT services are delivered and consumed. There are lots of advantages to using cloud computing for international companies. One of the major ones is the flexibility that it offers. Cloud computing means that users can access the files and data that they need even when they're working remotely. Since the popularity of cloud service, businesses are looking for cloud solutions to solve some of their biggest business and technology challenges: reducing costs, creating new levels of efficiency, and facilitating innovative business models. To understand what that means to the business, the benefits and potential risks of migrating to cloud services need to be carefully considered. The suitable business model is therefore becoming the focus as adopting the cloud service. The study is based on the Critical Factor Index with AHP method which had here a different function than it usually does. Basically all the other results given by the Critical Factor Index are based on a questionnaire inside the companies. In this case, the study was carried out by using external experts. The research outcome will conclude the critical success factors and new business model of cloud service adoption. We also discuss the factors that make cloud computing an attractive option for enterprises.
云本质上是IT服务交付和消费方式的一种灵活且可扩展的模型。对于跨国公司来说,使用云计算有很多好处。其中一个主要的优点是它提供的灵活性。云计算意味着用户即使在远程工作时也可以访问他们需要的文件和数据。由于云服务的普及,企业正在寻找云解决方案来解决一些最大的业务和技术挑战:降低成本,创造新的效率水平,并促进创新的业务模式。要理解这对业务意味着什么,需要仔细考虑迁移到云服务的好处和潜在风险。因此,合适的业务模式成为采用云服务的焦点。该研究是基于AHP方法的关键因素指数,在这里具有不同于通常的功能。基本上,关键因素指数给出的所有其他结果都是基于公司内部的问卷调查。在这种情况下,研究是由外部专家进行的。研究结果将总结云服务采用的关键成功因素和新的商业模式。我们还讨论了使云计算成为企业一个有吸引力的选择的因素。
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引用次数: 0
Adaptive polynomial interpolation for noise replacement 自适应多项式插值噪声替换
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765472
C. Hsieh, Sheng-Yung Hung, P. Huang, Chia-Wei Lan
In this paper, a noise replacement scheme based on adaptive polynomial interpolation (NRAPI) is proposed, where the perfect noise detection is assumed. In the NRAPI, the zero-order and the first-order polynomial interpolation schemes are adaptively applied in the noise replacement according to the noise density. It is observed that the proposed zero-order noise replacement scheme generally has better contrast and visual quality when the noise density is high and that the proposed first-order noise replacement scheme has better visual quality for cases of low and mild noise density. Consequently, the proposed NRAPI combines the zero-order and the first-order noise replacement schemes for better performance. The proposed NRAPI is justified by several images and compared with two newly reported noise replacement schemes. The simulation results indicate that the proposed NRAPI has better visual quality of restored images than those from the zero-order and the first-order noise replacement schemes, as expected.
本文提出了一种基于自适应多项式插值(NRAPI)的噪声替换方案,该方案假设噪声检测是完美的。在NRAPI中,根据噪声密度自适应地采用零阶和一阶多项式插值方案进行噪声替换。观察到,当噪声密度较高时,所提出的零阶噪声替换方案通常具有较好的对比度和视觉质量,而在噪声密度较低和较温和的情况下,所提出的一阶噪声替换方案具有较好的视觉质量。因此,所提出的NRAPI结合了零阶和一阶噪声替换方案以获得更好的性能。通过多幅图像验证了NRAPI的有效性,并与两种新报道的噪声替代方案进行了比较。仿真结果表明,与零阶和一阶噪声替换方案相比,NRAPI恢复图像的视觉质量达到了预期的水平。
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引用次数: 3
Regions of interest in observing robot hand movement by a cooperative robot 合作机器人观察机械手运动的兴趣区域
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765457
Toyomi Fujita, C. Privitera
This paper presents a method for generating regions-of-interest in a scene of robot hand movement observed by a cooperative robot for action recognition. In a cooperative work, a robot needs to be aware of an action of its partner robot by detecting some regions-of-interest in the visual field like human visual scanpath. To generate regions-of-interests by a robot, we have applied image processing algorithms based on active top-down feature patterns and bottom-up spatial kernels. The algorithms have produced energy maps from the images observed by the robot and they were combined with different weights to generate algorithmic regions-of-interests. They were compared with human regions-of-interest measured by a psychophysical experiment and the algorithmic predictability of scanpath was evaluated using a positional similarity index. Experimental results showed that presented method is applicable to the detection of regions-of-interests in hand movement.
提出了一种在协作机器人观察到的机械手运动场景中生成兴趣区域的方法,用于动作识别。在协同工作中,机器人需要像人类的视觉扫描路径一样,通过检测视野中的兴趣区域来感知同伴的动作。为了生成机器人感兴趣的区域,我们应用了基于主动自顶向下特征模式和自底向上空间核的图像处理算法。这些算法从机器人观察到的图像中生成能量图,并将它们与不同的权重组合在一起,生成算法感兴趣的区域。将它们与心理物理实验测量的人类感兴趣区域进行比较,并使用位置相似性指数评估扫描路径的算法可预测性。实验结果表明,该方法适用于手部运动兴趣区域的检测。
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引用次数: 0
System monitoring models as Active Information Resources 作为活动信息资源的系统监控模型
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765438
K. Kalegele, Hideyuki Takahashi, K. Sasai, G. Kitagata, Tetsuo Kinoshita
Mathematical and knowledge based models are the cornerstones of most autonomie network and systems monitoring operations. The models embody knowledge and experiences of monitoring the vast varieties of systems and their behaviours. These many models constitute a lot of unshared knowledge because of differing network dynamics, heterogeneity and interests. One way of making these models sharable is by making them searchable, reusable and adaptable. In this paper, we employ the concept of Active Information Resource (AIR) to give interactive abilities to knowledge models so that they can easily be searched, reused and adapted. The objective is to improve knowledge and experience transfer across system monitoring centers of our networks.
数学和基于知识的模型是大多数自主网络和系统监测操作的基石。这些模型体现了监测各种系统及其行为的知识和经验。由于不同的网络动态、异质性和兴趣,这些模型构成了大量的非共享知识。使这些模型可共享的一种方法是使它们可搜索、可重用和可适应。在本文中,我们采用主动信息资源(Active Information Resource, AIR)的概念来赋予知识模型交互能力,从而使其易于被搜索、重用和调整。目标是改善我们网络系统监测中心之间的知识和经验转移。
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引用次数: 1
Data-aware environment for grass-roots development in village communities: A pilot study in Kapgari and surrounding villages 农村社区基层发展的数据意识环境:在卡普加里及周边村庄进行的试点研究
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765474
Bulbul Sen, Ranjan K. Sen
We present an approach for building a participatory grass roots data-aware environment (DAE) to be used in socio-economic planning and development. As an illustration, we present the design and implementation of a DAE for a community of ten villages in a highly resource constrained drought prone area in eastern India. A DAE is focused on a small community and built using periodic family surveys, socio-economic analysis, simulations, machine learning and visualization. The local people participate directly in carrying out the surveys, analysis and interpretations periodically. DAEs targeting different communities, each customized to local conditions, can be integrated with available Information and Communications Technology (ICT) facilities. In this way an innovative micro-economic ecosystem can be built that generates feedback to regional and national stakeholders.
我们提出了一种建立参与性基层数据感知环境(DAE)的方法,用于社会经济规划和发展。作为一个例子,我们提出了在印度东部一个资源高度受限的干旱易发地区,一个由十个村庄组成的社区的DAE的设计和实施。DAE侧重于小型社区,并使用定期家庭调查、社会经济分析、模拟、机器学习和可视化来构建。当地人民直接参与,定期进行调查、分析和解释。针对不同社区的DAEs,每个都是根据当地情况定制的,可以与现有的信息和通信技术(ICT)设施相结合。通过这种方式,可以建立一个创新的微观经济生态系统,为区域和国家利益相关者提供反馈。
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引用次数: 3
Customizable active situation awareness framework based on meta-process in ontology 基于本体元过程的可定制主动态势感知框架
Pub Date : 2013-11-01 DOI: 10.1109/ICAWST.2013.6765419
R. Komiya, Incheon Paik, K. Ryu
Situation awareness aims to simulate human's awareness. There have been several frameworks for the situation awareness. However, the existing frameworks have some problems for reasoning relations between multiple domain situations. The framework provides an entire sequence for situation awareness for the domain, but not how to streamline the sequence at different domains. We created rules to infer higher level's situation awareness on time and space for streamlining the aware sequence, devised meta event ontology for defining terms and process between different domains. There are common concepts (e.g. actor, object, relation) and properties (e.g. time and space) in almost situations, crossing multiple domains. These concepts and properties enable to infer relations between situations at different domains. Our meta-event ontology and rules are designed for abstraction of inference concept and process. Customizable active situation awareness (ASA) framework takes these concepts in the existing ASA framework then it contributes to situation awareness for multiple domains. We explained the ontologies and principles of the rules and a prototype of the customizable ASA framework.
情境感知的目的是模拟人的意识。有几种情况感知框架。然而,现有的框架在多领域情境之间的推理关系方面存在一些问题。该框架为该领域的态势感知提供了一个完整的序列,但不提供如何在不同领域简化该序列。我们建立了在时间和空间上推断更高层次态势感知的规则来简化感知序列,设计了元事件本体来定义不同领域之间的术语和过程。在跨越多个领域的大多数情况下,都有共同的概念(例如参与者、对象、关系)和属性(例如时间和空间)。这些概念和属性使我们能够推断不同领域的情况之间的关系。我们的元事件本体和规则是为抽象推理概念和推理过程而设计的。自定义主动态势感知(ASA)框架在现有的ASA框架中引入了这些概念,并为多个领域的态势感知做出了贡献。我们解释了规则的本体和原则,以及可定制的ASA框架的原型。
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引用次数: 1
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炎黄地理
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