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检索条件"任意字段=Applied Computing 2004 - Proceedings of the 2004 ACM Symposium on Applied Computing"

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Automatic techniques for texture mapping in virtual urban environments

Automatic techniques for texture mapping in virtual urban en...

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Computer Graphics International

作者： R.G. Laycock A.M. Day School of Computing Sciences University of East Anglia Norwich UK

Many methods exist for automatically generating three dimensional models of urban environments at various levels of detail. To improve the realism of these models texture maps are applied to the building facades. This paper focuses on techniques which progress towards the automatic application of textural detail to building facades. In particular attention is paid to residential scenes where buildings are occluded by many objects such as vegetation and fences. The approach undertaken uses a set of images for each building being textured. From this set a single building image is created by identifying the building and removing occluding objects using a depth map. Further processing of the building image is undertaken to generate two texture maps, the wall map and the object map. The wall map contains a repeatable wall pattern extracted automatically from the building facade. The object map contains the spatial arrangement of features on a transparent background. The features are objects on the building facade such as windows and doors. These two texture maps are combined on the graphics card to permit the final textural detail of the building to be visualised

关键词： Urban planning Buildings Roads Layout Windows Image segmentation Vegetation mapping Graphics Visualization Digital elevation models

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Extended recursive least squares algorithm for nonlinear stochastic systems

Extended recursive least squares algorithm for nonlinear sto...

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American Control Conference (ACC)

作者： Huixin Chen School of Computing & Technology University of Sunderland Sunderland UK

The strong consistency of parameter estimation has always been one of the main problems in system identification theory especially for the nonlinear systems. Although there are several approaches and algorithms set up for the nonlinear stochastical system, the strong consistency of the parameter estimation has not been discussed and proved for most of them. In this paper, for a class of discrete-time nonlinear stochastic systems, an extended recursive least squares (ERLS) algorithm is developed. It has been proved that the proposed ERLS algorithm has strong consistency without the strict restrictions on the system, i.e. (1) the persistent excitation condition has been replaced by a less restrictive condition; (2) the system noises don't have to be white noise; and (3) the variance functions of the system noises don't have to be bounded. The convergence rate of the parameter estimation can also be worked out. The results presented in this paper can be applied in more general classes of nonlinear systems such as some of the variable parameter and state dependent parameter nonlinear stochastic systems as well.

关键词： Least squares methods Stochastic systems Parameter estimation Nonlinear systems Least squares approximation Stochastic resonance Convergence System identification Piecewise linear approximation Mathematical model

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On efficiently tracking turn-taking patterns in a CSCL environment using Lempel-Ziv complexity analysis

On efficiently tracking turn-taking patterns in a CSCL envir...

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International Conference on Advanced Learning Technologies (ICALT)

作者： S.J. Hadjileontiadou G.N. Nikolaidou L.J. Hadjileontiadis Department of Electrical & Computer Engineering Democritus University of Thrace Greece Graduate School of Education University of Bristol UK Department of Electrical & Computer Engineering Aristotle University of Thessaloniki Greece

A complexity-based analysis of the turn-taking sequences produced during peers' computer-mediated collaboration is presented in this paper. The collaborative contributions monitored by the system, namely Lin2k, are mapped to turn-taking sequences, which, in turn, are transformed to symbol-sequences and analyzed for pattern extraction. The use of a normalized complexity measure when applied to collaborative data from the field of environmental engineering reveals peers' tendencies to more complex turn-taking patterns when they receive appropriate feedback from the Lin2k. The efficiency of the proposed complexity analysis in pattern identification and its simplicity in implementation makes it a useful tool for effective tracking of temporal changes in collaborative activity.

关键词： Pattern analysis Collaboration Feedback Collaborative tools Face detection Peer to peer computing Computerized monitoring Data mining Data engineering Speech

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Refinement of rule-based intrusion detection system for denial of service attacks by support vector machine

Refinement of rule-based intrusion detection system for deni...

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International Conference on Machine Learning and Cybernetics (ICMLC)

作者： A.P.F. Chan W.W.Y. Ng D.S. Yeung C.C. Tsang Department of Computing Hong Kong Polytechnic University Kowloon Hong Kong China

With the tremendous increase in connectivity and accessibility to the Internet, information security has become a serious global issue. Denial of service (DoS), one of the attacks evolved in recent years, has devastating effect to the commercial activities. We propose a hybrid intrusion detection system (HIDS) which incorporates the benefits of both rule-based and SVM techniques. In brief, the SVM is used to select important features and generate rules, while the rule-based system is then applied to detect the DoS attacks. The rule set generated by the HIDS is more accurate and compact. Experimental results show that the HIDS has a better performance than the rule-based system with rules extracted only from human experts.

关键词： Intrusion detection Computer crime Support vector machines Companies Internet Information security Humans Computer security Business Protection

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Real time hand tracking by combining particle filtering and mean shift

Real time hand tracking by combining particle filtering and ...

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International Conference on Automatic Face and Gesture Recognition

作者： Caifeng Shan Yucheng Wei Tieniu Tan F. Ojardias National Laboratory of Pattern Recognition (NLPR) Institute of Automation Chinese Academy and Sciences Beijing China Laboratoire d'Automatique Industrielle (LAI) Institut National des Sciences Appliquees de Lyon

Particle filter and mean shift are two successful approaches taken in the pursuit of robust tracking. Both of them have their respective strengths and weaknesses. In this paper, we proposed a new tracking algorithm, the mean shift embedded particle filter (MSEPF), to integrate advantages of the two methods. Compared with the conventional particle filter, the MSEPF leads to more efficient sampling by shifting samples to their neighboring modes, overcoming the degeneracy problem, and requires fewer particles to maintain multiple hypotheses, resulting in low computational cost. When applied to hand tracking, the MSEPF tracks hand in real time, saving much time for later gesture recognition, and it is robust to the hand's rapid movement and various kinds of distractors.

关键词： Particle tracking Filtering Particle filters Robustness Stochastic processes Pervasive computing Image recognition Laboratories Pattern recognition Automation

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Simulation of strong shock-interface interaction

Simulation of strong shock-interface interaction

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The 24th International symposium on Shock Waves

作者： K.C.Hung B.C.Khoo Institute of High Performance Computing 1 Science Park Road 01-01 The Capricorn Singapore 117528 Department of Mechanical Engineering National University of Singapore Singapore 119260

It is found that a direct use of the GFM developed by Fedkiw et al may lead to inaccurate results during the simulation of a strong shock impacting on a material interface. In this work, we will propose a modified GFM (MGFM) with a predicted ghost fluid status. The MGFM is found to be far more robust than the original GFM and less problem-related.

关键词： Riemann Simulation of strong shock-interface interaction

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Multi-sensor and time-series approaches for monitoring of snow parameters

Multi-sensor and time-series approaches for monitoring of sn...

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IEEE International symposium on Geoscience and Remote Sensing (IGARSS)

作者： R. Solberg J. Amlien H. Koren L. Eikvil E. Malnes R. Storvold Norwegian Computing Centre Oslo Norway Norut Information Technology Limited Troms Norway

Frequent mapping of snow parameters, like snow cover area (SCA) and snow surface wetness (SSW), is important for applications in hydrology, meteorology and climatology. In this study, we have developed a few general multi-sensor/time-series approaches for such monitoring. The objective is to analyze, on a daily basis, a time series of optical and Synthetic Aperture Radar (SAR) data together producing sensor-independent products. A few algorithms for multi-sensor/time-series processing have been developed and are compared in this study. A typical approach is to analyze each image individually and combine them into a day product. How each image contributes to the day products is controlled by a pixel-by-pixel confidence value that is computed for each image analyzed. The confidence algorithm may take into account information about the local observation angle/IFOV size, probability of clouds, prior information about snow state, etc. The time series of day products are then combined into a multi-sensor/multi-temporal product. The combination of products is done on a pixel-by-pixel basis and controlled by each individual product/pixel's confidence and a decay function of time. The "multi product" should then represent the most likely status of the monitored variable. The sensors applied in this algorithm study are MODIS for optical data and ENVISAT ASAR for SAR data. The study area is South Norway, and the study focuses on the snowmelt seasons in 2003 and 2004

关键词： Condition monitoring Snow Optical sensors Adaptive optics Synthetic aperture radar Image analysis Hydrology Meteorology Time series analysis Laser radar

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Security for grid-based computing systems issues and challenges 04

Security for grid-based computing systems issues and challen...

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proceedings of the ninth acm symposium on Access control models and technologies

作者： Elisa Bertino Bruno Crispo James Joshi Wengliang (Kevin) Du Ravi Sandhu CERIAS Purdue University W. Lafayette IN Vrije Universiteit Amsterdam Netherlands DIST Pittsburgh University Pittsburgh PA Syracuse University Syracuse NY George Mason University Fairfax VA

ISBN: (纸本)9781581138726

Grid systems were initially developed for supporting scientific computations. Today, companies, users and researchers are looking at ways to use the Grid approach to commercial uses and for applications in many different areas. Security in grid systems however has not been much addressed and yet is an important prerequisite to really make grid systems usable in a variety of commercial *** goal of this panel is to explore relevant security issues, with special emphasis on access control, for grid-based computing systems. The panel will discuss security requirements that are specific to grid-based systems and set these systems apart from conventional distributed systems, and outline directions for future research. Questions addressed by the panel include the following ones: What needs to be protected in a grid system: hosts, resources, data, computations?Access control languages and policies: do we need ad-hoc languages for specifying access control policies for grid hosts? If so, which would be the most relevant and features of these languages?User requirements: different grid hosts may provide different levels of security. How can a user specify his/her security requirements when running computations? Which assurance has the user that his/her own requirements have been met?Scalability and evolution: grid computing systems may encompass a very large number of nodes (hundreds or even thousands). Moreover, they can be quite dynamic with hosts and clients dynamically joining and leaving. How can we design scalable access systems able to cope with the required dynamicity?

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FDTD modeling of borehole georadar data

FDTD modeling of borehole georadar data

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proceedings of the International Conference on Ground Penetrating Radar, GPR

作者： J.R. Ernst K. Holliger H. Maurer Institute of Geophysics Swiss Federal Institute of Technology (ETH) Zurich Switzerland

High-frequency electromagnetic wave phenomena associated with borehole georadar experiments are complex. To improve our understanding of the governing physical processes, we have developed an advanced finite-difference time-domain (FDTD) solution of Maxwell’s equations in cylindrical coordinates. The computational domain is bounded by cylindrical symmetry conditions along the left model edge and by suitably adapted uniaxial perfectly matched layer (UPML) absorbing boundary conditions along the top, bottom and right model edges. An important feature of this algorithm is the use of a powerful grid-refinement technique that enables us to account for detailed design aspects of borehole georadar antenna systems. This type of modeling allows us to estimate the radiative properties of typical borehole georadar antennas under realistic operating conditions, which represents the basis for improving conventional ray-based amplitude inversions as well as for the eventual development of waveform inversion algorithms. The algorithm is validated with respect to analytical solutions for wire-type dipole antennas and then applied to model crosshole georadar data acquired under well-controlled conditions in the NAGRA (Swiss Cooperative for the Storage of Nuclear Waste) Grimsel rock laboratory in the central Swiss Alps.

关键词： Finite difference methods Time domain analysis Ground penetrating radar Dipole antennas Maxwell equations Power system modeling Receiving antennas Transmitters Antenna accessories Geophysics computing

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Communications for improving policy computation in distributed POMDPs

Communications for improving policy computation in distribut...

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proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS

作者： R. Nair M. Tambe M. Roth M. Yokoo Computer Science Department University of Southern California USA Robotics Institute Carnegie Mellon University USA Department of Intelligent Systems Kyushu University Japan

Distributed Partially Observable Markov Decision Problems (POMDPs) are emerging as a popular approach for modeling multiagent teamwork where a group of agents work together to jointly maximize a reward function. Since the problem of finding the optimal joint policy for a distributed POMDP has been shown to be NEXP-Complete if no assumptions are made about the domain conditions, several locally optimal approaches have emerged as a viable solution. However, the use of communicative actions as part of these locally optimal algorithms has been largely ignored or has been applied only under restrictive assumptions about the domain. In this paper, we show how communicative acts can be explicitly introduced in order to find locally optimal joint policies that allow agents to coordinate better through synchronization achieved via communication. Furthermore, the introduction of communication allows us to develop a novel compact policy representation that results in savings of both space and time which are verified empirically. Finally, through the imposition of constraints on communication such as not going without communicating for more than K steps, even greater space and time savings can be obtained.

关键词： Distributed computing Teamwork Uncertainty Observability Permission Multiagent systems Performance loss Humans

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