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2009 18th International Conference on computer Communications and Networks, ICCCN 2009

作者： Song, Yilin Liu, Min Li, Zhongcheng Li, Qi Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate University of Chinese Academy of Science Beijing China Department of Computer Science Tsinghua University Beijing China

ISBN: (纸本)9781424445813

Experiments show that FMIPv6 may suffer long handover latency even in the predictive mode in the real IEEE 802.11 based WLANs. To figure out the latency reason and identify potential enhancement of FMIPv6, we analyze the handover latency of the predictive FMIPv6 from a cross layer perspective using data collected in a real IEEE 802.11 test-bed. We find that the key issues affecting the handover latency of the predictive FMIPv6 in IEEE 802.11 WLANs are the lack of assistance from the network entities, the ambiguous link layer triggering time and the inefficient interaction between the link layer and the network layer. And FMIPv6 can provide fast handover with no interruptions on the upper layer applications in IEEE 802.11 WLANs through some enhancements, which can resolve the above three issues. ©2009 IEEE.

关键词： Network layers

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Feature Weighting Information-Theoretic Co-clustering for document clustering

Feature Weighting Information-Theoretic Co-clustering for do...

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2009 2nd International Conference on computer science and Its Applications, CSA 2009

作者： Ye, Yunming Li, Xutao Wu, Biao Li, Yan Department of Computer Science Shenzhen Graduate School Harbin Institute of Technology Shenzhen 518055 China Department of Computing Hong Kong Polytechnic University Hong Kong Hong Kong

ISBN: (纸本)9781424449460

This paper presents a feature weighting schema to improve the performance of Information-Theoretic Co-clustering (ITCC). The new algorithm, named as Feature Weighting Information-Theoretic Co-clustering (FWITCC), weights each feature with the mutual information shared by the features and the documents. The weighting schema makes informative features more important and noisy features less important, so that it can improve the qualities of resulted clusters. Experimental results on both synthetic data sets and 20Newsgroup data sets have demonstrated that our new approach has better clustering performance than (ITCC). © 2009 IEEE.

关键词： Cluster analysis

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Mining and analyzing multirelational social networks

Mining and analyzing multirelational social networks

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2009 IEEE International Conference on Social computing, SocialCom 2009

作者： Stroele, Victor Oliveira, Jonice Zimbrão, Geraldo Souza, Jano M. COPPE/UFRJ Graduate School of Computer Science Federal University of Rio de Janeiro Brazil Computing Science Department Mathematical Institute Federal University of Rio de Janeiro Rio de Janeiro Brazil

ISBN: (纸本)9780769538235

A Social Network is a social structure consisting of individuals or organizations, usually represented by nodes tied by one or more types of interdependency or relationship. This work focuses on using data mining techniques to identify intra and inter organization groups of people with similar profiles that could have relationships amongst them. For this, we construct a multirelational scientific social network where researchers may have four different types of relations with each other. In this paper, we analyze the scientific scenario in computing science in Brazil, assessing how researchers in the best universities and research centres collaborate and relate to each other © 2009 IEEE.

关键词： Data mining

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Learning styles and cognitive traits - Their relationship and its benefits in web-based educational systems

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computers in Human Behavior 2009年第6期25卷 1280-1289页

作者： Graf, Sabine Liu, Tzu-Chien Kinshuk Chen, Nian-Shing Yang, Stephen J.H. School of Computing and Information Systems Athabasca University Canada Graduate Institute of Learning and Instruction National Central University Jhongli Taiwan Department of Information Management National Sun Yat-sen University Taiwan Department of Computer Science and Information Engineering National Central University Jhongli Taiwan

Different learners have different needs;they differ, for example, in their learning goals, their prior knowledge, their learning styles, and their cognitive abilities. Adaptive web-based educational systems aim to cater individual learners by customizing courses to suit their needs. In this paper, we investigate the benefits of incorporating learning styles and cognitive traits in web-based educational systems. Adaptivity aspects based on cognitive traits and learning styles enrich each other, enabling systems to provide learners with courses which fit their needs more accurately. Furthermore, consideration of learning styles and cognitive traits can contribute to more accurate student modelling. In this paper, the relationship between learning styles, in particular the Felder-Silverman learning style model (FSLSM), and working memory capacity, a cognitive trait, is investigated. For adaptive educational systems that consider either only learning styles or only cognitive traits, the additional information can be used to provide more holistic adaptivity. For systems that already incorporate both learning styles and cognitive traits, the relationship can be used to improve the detection process of both by including the additional information of learning style into the detection process of cognitive traits and vice versa. This leads to a more reliable student model. © 2009 Elsevier Ltd. All rights reserved.

关键词： Websites

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Applying feature extraction of speech recognition on VoIP auditing

Applying feature extraction of speech recognition on VoIP au...

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作者： Wang, Xuan Lin, Jiancheng Sun, Yong Gan, Haibo Yao, Lin Intelligence Computing Research Center Department of Computer Science Harbin Institute of Technology Shenzhen Graduate School Shenzhen 518055 China School of Electronics and Information Engineering Shenzhen Polytechnic Shenzhen 518055 China

This paper presents an approach that combines both VoIP auditing and speech recognition, and an application of using speech recognition on VoIP voice data is described. It also deals with how to obtain VoIP voice data during audio communication: signaling protocol analysis and voice data traffic analysis. Feature extraction is a very important step in speech recognition, and the result derived from this research shows that the differences between the features extracted from voice recorded directly and voice captured through VoIP are very small and that applying speech recognition on VoIP auditing is applicable. © 2009 ICIC International.

关键词： Feature extraction

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Localizing volumetric motion for action recognition in realistic videos 09

Localizing volumetric motion for action recognition in reali...

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17th ACM International Conference on Multimedia, MM'09, with Co-located Workshops and Symposiums

作者： Wu, Xiao Ngo, Chong-Wah Li, Jintao Zhang, Yongdong Institute of Computing Technology Chinese Academy of Sciences Beijing 100190 China Department of Computer Science City University of Hong Kong Kowloon Hong Kong Graduate University of Chinese Academy of Sciences Beijing 100049 China

ISBN: (纸本)9781605586083

This paper presents a novel motion localization approach for recognizing actions and events in real videos. Examples include StandUp and Kiss in Hollywood movies. The challenge can be attributed to the large visual and motion variations imposed by realistic action poses. Previous works mainly focus on learning from descriptors of cuboids around space time interest points (STIP) to characterize actions. The size, shape and space-time position of cuboids are fixed without considering the underlying motion dynamics. This often results in large set of fragmentized cuboids which fail to capture long-term dynamic properties of realistic actions. This paper proposes the detection of spatio-temporal motion volumes (namely Volume of Interest, VOI) of scale and position adaptive to localize actions. First, motions are described as bags of point trajectories by tracking keypoints along the time dimension. VOIs are then adaptively extracted by clustering trajectory on the motion mainfold. The resulting VOIs, of varying scales and centering at arbitrary positions depending on motion dynamics, are eventually described by SIFT and 3D gradient features for action recognition. Comparing with fixed-size cuboids, VOI allows comprehensive modeling of long-term motion and shows better capability in capturing contextual information associated with motion dynamics. Experiments on a realistic Hollywood movie dataset show that the proposed approach can achieve 20\% relative improvement compared to the state-of-the-art STIP based algorithm. Copyright 2009 ACM.

关键词： Trajectories

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An agent framework to support sensor networks' setup and adaptation

An agent framework to support sensor networks' setup and ada...

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International Multiconference on computer science and Information Technology, IMCSIT '09

作者： De Freitas, Edison Pignaton Heimfarth, Tales Ferreira, Armando Morado Wagner, Flávio Rech Pereira, Carlos Eduardo Larsson, Tony IDE Halmstad University Halmstad Sweden Institute of Informatics UFRGS Porto Alegre Brazil Computer Science Department UFLA Lavras Brazil Defense Engineering Graduate Program Military Institute of Engineering Rio de Janeiro Brazil

ISBN: (纸本)9781424453146

Sensor networks are being used in several emerging applications not even imagined some years ago due to advances in sensing, computing, and communication techniques. However, these advances also pose various challenges that must be faced. One important challenge is related to the autonomous capability needed to setup and adapt the networks, which decentralizes the control of the network, saving communication and energy resources. Middleware technology helps in addressing this kind of problem, but there is still a need for additional solutions, particularly considering dynamic changes in users' requirements and operation conditions. This paper presents an agent-based framework acting as an integral part of a middleware to support autonomous setup and adaptation of sensor networks. It adds interoperability among heterogeneous nodes in the network, by means of autonomous behavior and reasoning. These features also address the needs for system setup and adaptations in the network, reducing the communication overhead and decentralizing the decision making mechanism. Additionally, preliminary results are also presented. © 2009 IEEE.

关键词： Middleware

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Mobile applications for information access on construction jobsites

Mobile applications for information access on construction j...

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2009 ASCE International Workshop on computing in Civil Engineering

作者： Irizarry, J. Gill, T. Georgia Institute of Technology Building Construction Program 280 Ferst Drive Atlanta GA 30332-0680 United States Georgia Institute of Technology College of Computing School of Computer Science 801 Atlantic Drive Atlanta GA 30332-0280280 United States

ISBN: (纸本)9780784410523

There has been a recent surge in the use of IT Applications in the Construction Industry;however, with the introduction of Smartphones these IT applications can be brought directly into the hands of construction personnel on the job site. This paper describes the development of two such applications, namely "Construction Equipment Finder" (CEF) and "Be Safe" on the iPhone development platform. While CEF focuses on enabling project personnel to find the equipment rental location closest to the jobsite without having to leave the work area, Be Safe's focus is to provide access to safety-related information to the on-site construction personnel. The paper describes the design and development of the above applications using the iPhone OS Development Platform. Initial results show that the development platform has the potential to improve information access on jobsites by facilitating the development of application that provide enhanced information retrieval in multiple formats. © 2009 ASCE.

关键词： Construction equipment

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Design an empathic virtual human to encourage and persuade learners in e-learning systems

Design an empathic virtual human to encourage and persuade l...

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1st ACM International Workshop on Multimedia Technologies for Distance Learning, MTDL 2009, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

作者： Wang, Chin-Yeh Chen, Gwo-Dong Liu, Chen-Chung Liu, Baw-Jhiune Taiwan e-Learning and Digital Archives Program Office National Central University Taiwan Department of Computer Science and Information Engineering National Central University Taiwan Graduate Institute of Network Learning Technology National Central University Taiwan Department of Computer Science and Engineering Yuan-Ze University Taiwan

ISBN: (纸本)9781605587578

Studies indicate that making learners feel good is important only minor to clear knowledge transformation. Many studies have tried to use virtual humans as a part of interface in learning systems to increase the effect of instructions. Based on social interaction and pedagogical theories, many e-learning systems use animated films or virtual reality to boost human-computer engagement and ease their negative emotions. However, affective learning systems still need much research to improve their functionalities and usability. This study proposed a convenient approach to develop an emotionally interactive learning system;learners can express their emotions by mouse-clicking while learning. A virtual human was created to empathically react to learners in proactive and reactive ways to encourage and persuade them into persistent learning and help achieve their goals. Experimental results show that, averagely, subjects can tell virtual human's emotions and agree to its empathic reactions. Persuasion conducted by virtual human could not increase subjects' learning time, but could significantly increase their completion rate of exercises. Copyright 2009 ACM.

关键词： Learning systems

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A self-repairable microprocessor

A self-repairable microprocessor

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ISTC/CSTIC 2009 (CISTC)

作者： Xie, Yuanjiang Fu, Xiang He, Zijian Zhao, Yang Hu, Yu Li, Xiaowei Key Laboratory of Computer System and Architecture Chinese Academy of Sciences Beijing 100190 China Institute of Computing Technology Chinese Academy of Sciences Beijing China Graduate School of Chinese Academy of Sciences Beijing 100049 China Department of Computer Science and Engineering University of California Riverside 92521 United States

ISBN: (纸本)9781615676460

With increasing defect density, microprocessors, especially the embedded caches, will encounter more faults. Adding spare resources to replace defective components is a widely accepted method for yield enhancement. In this work, a repair method using content addressable memory combined with spare bits, as well as a novel fault injection method is proposed. With the proposed fault injection technique, various numbers and types of faults can be flexibly injected into the silicon. A wireless sensor network system using our self-repairable microprocessor (SRP) is developed to prove the effectiveness of the proposed technique. ©The Electrochemical Society.

关键词： Wireless sensor networks

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