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Sparse Data Aggregation in Sensor Networks

Sparse Data Aggregation in Sensor Networks

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International Symposium on Information Processing in Sensor Networks (IPSN)

作者： Jie Gao Leonidas Guibas Nikola Milosavljevic John Hershberger Computer Science Department SUNY Stony Brook Stony Brook NY USA Computer Science Department Stanford University Stanford CA USA Mentor Graphics Wilsonville OR USA

We study the problem of aggregating data from a sparse set of nodes in a wireless sensor network. This is a common situation when a sensor network is deployed to detect relatively rare events. In such situations, each node that should participate in the aggregation knows this fact based on its own sensor readings, but there is no global knowledge in the network of where all these interesting nodes are located. Instead of blindly querying all nodes in the network, we show how the interesting nodes can autonomously discover each other in a distributed fashion and form an ad hoc aggregation structure that can be used to compute cumulants, moments, or other statistical summaries. Key to our approach is the capability for two nodes that wish to communicate at roughly the same time to discover each other at a cost that is proportional to their network distance. We show how to build nearly optimal aggregation structures that can further deal with network volatility and compensate for the loss or duplication of data by exploiting probabilistic techniques.

关键词： computer networks computer science Algorithm design and analysis Permission Wireless sensor networks Event detection Distributed computing Costs Protocols computer graphics

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Eye-tracking for efficient database labelling: Applications to automatic analysis of colonoscopy video

Eye-tracking for efficient database labelling: Applications ...

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International Machine Vision and Image Processing Conference (IMVIP)

作者： Fernando Vilarino Gerard Lacey Graphics Vision and Visualisation Group (GV2) Computer Science Department Universio of Dublin Ireland

In this paper we present our preliminary results in the automatic analysis of colonoscopy video using eye-tracking. We propose that eye-tracking can be successfully applied to solve different problems in computer assisted colonoscopy, such as database labelling, expertise assessment and abnormality detection. We provide results in these three areas, including a machine learning-based system for colon cancer detection using data generated with eye-tracking.

关键词： Labeling Colonoscopy Colon Visual databases Cancer detection Support vector machines Support vector machine classification Application software Image analysis Videoconference

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A fast coarse-to-fine vehicle logo detection and recognition method

A fast coarse-to-fine vehicle logo detection and recognition...

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IEEE International Conference on Robotics and Biomimetics

作者： Yunqiong Wang Zhifang Liu Fei Xiao Faculty of Computer Science and Information Technology Yunnan Normal Universitye Kunming 650092 China Institute of Image and Graphics Computer Science Department of Sichuan University Chengdu 610064 China

This paper presents algorithms for vision-based classification of vehicles based on vehicle logo in monocular image of traffic scenes recorded by a stationary camera. The intended application is automatic recognition of vehicle type for secure access and traffic monitoring applications, a problem not hitherto considered at such a level of accuracy. In recognition of vehicle type, differing with other researchers who attend to the recognition of shape, size of vehicle, we pay attention to the location and recognition of vehicle logo. The vehicle logo is unique mark of vehicle type (both make and model). We demonstrate that a relatively simple vehicle logo recognition method from front images can be used to obtain high performance verification and recognition of vehicle type. Firstly, the vehicle logo can be rough detected by prior knowledge, such as license, and then logo can be exactly detected by edge feature. Finally, the logo can be recognized using template matching and edge orientation histograms. Experimental results show the effectiveness of the proposed method.

关键词： Vehicle detection Vehicles Image edge detection Image recognition Classification algorithms Layout Cameras computerized monitoring Shape Licenses

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Implementing a database-driven solution for nominations and elections of faculty governance committees

Implementing a database-driven solution for nominations and ...

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114th Annual ASEE Conference and Exposition, 2007

作者： Acheson, Douglas Acheson, Lingma Indiana University Purdue University-Indianapolis United States Department of Computer Graphics Technology Purdue School of Engineering and Technology Indianapolis IN United States Computer Network Center Purdue School of Engineering and Technology Indianapolis United States School of Liberal Arts Butler University United States School of Science Purdue University Indianapolis United States

Institutions of higher education are self-governing bodies of which participating members must serve on various committees from time to time. To this end, nominations and elections of schoolwide committees are the vital link to this process of faculty governance. With each new academic year, there are numerous changes in faculty status such as new faculty being hired, tenure status, past positions being held and term limits on various committees. Depending on the complexity of each institution's governing document (which states the stipulations for each committee's required representation), making certain nominations and elections are carried out in a fair and equitable manner can prove to be a fairly daunting task. To streamline this yearly task and ensure continuity between former and current election committees, the authors of this paper developed a technology-based system which automates the nomination/election process. This paper presents an overview of this on-line, database-driven committee nomination and election system. This paper also points out several other institutions that have developed similar automated means of dealing with faculty governance logistics and presents issues that must be addressed when considering developing this type of a system. © American Society for Engineering Education, 2007.

关键词： Engineering education

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Approximate Isocontours and Spatial Summaries for Sensor Networks

Approximate Isocontours and Spatial Summaries for Sensor Net...

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International Symposium on Information Processing in Sensor Networks (IPSN)

作者： Sorabh Gandhi John Hershberger Subhash Suri Department of Computer Science University of California Santa Barbara Santa Barbara CA USA Mentor Graphics Wilsonville OR USA

We consider the problem of approximating a family of isocontours in a sensor field with a topologically-equivalent family of simple polygons. Our algorithm is simple and distributed, it gracefully adapts to any user-specified representation size k, and it delivers a worst-case guarantee for the quality of approximation. In particular, we prove that the topology-respecting Hausdorff error in our k-vertex approximation is within a small constant factor of the optimal error possible with Theta(k/log m) vertices, where m is the number of contours. Evaluation of the algorithm on real data suggests that the size increase factor in practice is a constant near 2.6, and shows no error increase. Our simulation results using a variety of synthetic and real data show that the algorithm smoothly handles complex isocontours, even for representation sizes as small as 32 or 48. Because isocontours are widely used to represent and communicate bi-variate signals, our technique is broadly applicable to in- network aggregation and summarization of spatial data in sensor networks.

关键词： Sensor phenomena and characterization computer science Statistics Shape control Size control computer graphics computerized monitoring Wildlife Cows Surveillance

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On the difficulty of some shortest path problems

On the difficulty of some shortest path problems

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作者： Hershberger, John Suri, Subhash Bhosle, Amit Mentor Graphics Corp. Wilsonville OR United States University of California Santa Barbara Santa Barbara CA United States Mentor Graphics Corp. 8005 SW Boeckman Road Wilsonville OR 97070 Department of Computer Science University of California at Santa Barbara Santa Barbara CA 93106 University of California at Santa Barbara Santa Barbara CA 93106

We prove superlinear lower bounds for some shortest path problems in directed graphs, where no such bounds were previously known. The central problem in our study is the replacement paths problem: Given a directed graph G with non-negative edge weights, and a shortest path P = {e1, e 2,..., ep} between two nodes s and t, compute the shortest path distances from s to t in each of the p graphs obtained from G by deleting one of the edges ei. We show that the replacement paths problem requires (m n) time in the worst case whenever m = O(n n). Our construction also implies a similar lower bound on the k shortest simple paths problem for a broad class of algorithms that includes all known algorithms for the problem. To put our lower bound in perspective, we note that both these problems (replacement paths and k shortest simple paths) can be solved in near-linear time for undirected graphs. © 2007 ACM.

关键词： Graph theory

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Emotion in HCI

Emotion in HCI

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21st British HCI Group Annual Conference: People and computers XXI HCI.But Not as We Know It, HCI 2007

作者： Peter, Christian Beale, Russell Crane, Elizabeth Axelrod, Lesley Fraunhofer Institute for Computer Graphics Joachim Jungius Str. 11 Germany School of Computer Science University of Birmingham Edgbaston Birmingham United Kingdom University of Michigan Division of Kinesiology 401 Washtenaw Ave. Ann Arbor MI 48108 United States Department of Information Systems and Computing Brunel University UB8 3PH United Kingdom

ISBN: (纸本)9781902505954

An increasing number of conferences, symposia, workshops, journals and books address the subject of emotions and their role in Human-computer Interaction, including workshops at the last two HCI conferences. The need for discussion, exchange of ideas, and interdisciplinary collaboration is ever-increasing as the community grows. This workshop will meet the requirements of individuals working in fields affected by emotion, giving them a podium to raise their questions and work with like-minded people of various disciplines on common subjects. It will focus around four sessions, and will use predominantly small group work, rather than being presentation-based. © 2007, Christian Peter, Russell Beale, Elizabeth Crane & Lesley Axelrod.

关键词： Human computer interaction

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Managing an Integrated Ubicomp Environment Using Ontologies and Reasoning

Managing an Integrated Ubicomp Environment Using Ontologies ...

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IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)

作者： Michael Blackstock Rodger Lea Charles Krasic Computer Science Department University of British Columbia Vancouver Canada Media and Graphics Interdisciplinary Center University of British Columbia Vancouver Canada

One issue hindering the deployment of integrated ubicomp environments is the lack of a shared model for applications to utilize resources across administrative and network domains. Through the use of concrete examples, we describe our proposed common model for ubicomp environments to address this issue. We then present use cases and additional examples for how our ubicomp common model (UCM) is used by our integration framework. The ubicomp integration framework (UIF) uses an ontology driven architecture (ODA) (P. Tetlow et al., 2001) and enterprise application integration (EAI) techniques to integrate existing ubiquitous computing middleware to the common model. The use cases illustrate how the integrated model and reasoning is used to maintain a dynamic integrated model of an environment

关键词： Environmental management Pervasive computing Ontologies Middleware computer architecture Ubiquitous computing Semantic Web computer network management Resource management computer science

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Exploring the Effects of Environment Density and Target Visibility on Object Selection in 3D Virtual Environments

Exploring the Effects of Environment Density and Target Visi...

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IEEE Symposium on 3D User Interfaces (3DUI)

作者： Lode Vanacken Tovi Grossman Karin Coninx Expertise Centre for Digital Media and transnationale Hasselt University Diepenbeek Belgium Dynamic Graphics Project Department of Computer Science University of Toronto Canada

Object selection is a primary interaction technique which must be supported by any interactive three-dimensional virtual reality application. Although numerous techniques exist, few have been designed to support the selection of objects in dense target environments, or the selection of objects which are occluded from the user's viewpoint. There is, thus, a limited understanding on how these important factors will affect selection performance. In this paper, we present a set of design guidelines and strategies to aid the development of selection techniques which can compensate for environment density and target visibility. Based on these guidelines, we present two techniques, the depth ray and the 3D bubble cursor, both augmented to allow for the selection of fully occluded targets. In a formal experiment, we evaluate the relative performance of these techniques, varying both the environment density and target visibility. The results found that both of these techniques outperformed a baseline point cursor technique, with the depth ray performing best overall.

关键词： Virtual environment Virtual reality Layout Three dimensional displays Liquid crystal displays computer graphics Guidelines computer displays Casting Switches

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Guest editorial

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The Visual computer 2007年第7期23卷 451-452页

作者： Gutierrez, Diego Shamsuddin, Siti Mariyam CPS (Edificio Ada Byron) Universidad de Zaragoza Zaragoza Spain Department of Graphics and Multimedia Faculty of Computer Science and Information System University Technology of Malaysia Skudai Malaysia

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