ppxscal/embedding_network huggingface dataset:
A Component-based Meta-Model for Context-Aware, Distributed Adaptation Graphs
Authors: Thomas Springer
Venue: Proceedings of the International Conference on Autonomic and Autonomous Systems (2006)

In this paper we present a component-based modeling approach for distributed adaptation graphs at architectural level. The graph structure reflects the pipelinebased processing of applications typical for adaptive data processing and transfer in mobile and pervasive environments. Parametrizable components and connectors represent mechanisms for processing application data as well as its mediation between components. Further elements represent contextual information and its mapping to component and connector parameters allowing an explicit definition of adaptation control. Thus, the model enables the explicit modeling of adaptation mechanisms as well as of reconfigurations in form of alternative paths, both controlled by parameter changes. The meta-model provides a certain view and abstraction on adaptive software systems which can be combined with other views to create comprehensive system descriptions. It represents a platform independent model (PIM) not tied to a certain component platform and can be mapped to existing component platforms like J2EE or Microsoft .NET using an MDA-approach.
On Parabolic Boundary Layers for Convection---Diffusion Equations in a Channel: Analysis and Numerical Applications
Authors: Chang-Yeol Jung, Roger Temam
Venue: Journal of Scientific Computing (2006)

In this article we discuss singularly perturbed convection---diffusion equations in a channel in cases producing parabolic boundary layers. It has been shown that one can improve the numerical resolution of singularly perturbed problems involving boundary layers, by incorporating the structure of the boundary layers into the finite element spaces, when this structure is available; see e.g. [Cheng, W. and Temam, R. (2002). Comput. Fluid. V.31, 453---466; Jung, C. (2005). Numer. Meth. Partial Differ. Eq. V.21, 623---648]. This approach is developed in this article for a convection---diffusion equation. Using an analytical approach, we first derive an approximate (simplified) form of the parabolic boundary layers (elements) for our problem; we then develop new numerical schemes using these boundary layer elements. The results are performed for the perturbation parameter ¿ in the range 10¿1---10¿15 whereas the discretization mesh is in the range of order 1/10---1/100 in the x-direction and of order 1/10---1/30 in the y-direction. Indications on various extensions of this work are briefly described at the end of the Introduction.
Options and alternatives of the small system user
Authors: Thalia Kafatou
Venue: ACM SIGSMALL Newsletter (1979)

There are no statistical studies concerning the number of the small systems that take the rough road of computerization, every day, but experience has shown that this number is large, and is becoming larger every day. Computers are in fashion. The question, though, is whether the computer solution is the only solution that the small system user has in his disposal to make his working life easier. Even in the case that the computer road is the solution, still there are alternatives concerning the kind, and size of the computer. The ACM Portal is published by the Association for Computing Machinery. Copyright © 2010 ACM, Inc. Terms of Usage Privacy Policy Code of Ethics Contact Us Useful downloads: Adobe Acrobat QuickTime Windows Media Player Real Player
The Knowledge Puzzle: An Integrated Approach of Intelligent Tutoring Systems and Knowledge Management
Authors: Amal Zouaq, Roger Nkambou, Claude Frasson
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

In this paper, we present The Knowledge Puzzle, an ontology-based platform designed to facilitate domain knowledge acquisition for knowledge-based systems and especially for intelligent tutoring systems. We present a new content model, the Knowledge Puzzle Content Model, that aims to create Learning Knowledge Objects (LKOs) from annotated content. Annotations are performed semi-automatically using natural language processing algorithms. These LKOs are then aggregated in an Organizational memory (OM) which serves as a knowledge base for an Intelligent Tutoring System (ITS).
2005 Special issue: Cortico-hippocampal interaction and adaptive stimulus representation: A neurocomputational theory of associative learning and memory
Authors: Mark A. Gluck, Catherine Myers, Martijn Meeter
Venue: Neural Networks (2005)

Computational models of the hippocampal region link psychological theories of associative learning with their underlying physiological and anatomical substrates. Our approach to theory development began with a broad description of the computations that depend on the hippocampal region in classical conditioning (Gluck & Myers, 1993, 2001). In this initial model, the hippocampal region was treated as an Information-processing system that transformed stimulus representations, compressing (making more similar) representations of inputs that co-occur or are otherwise redundant, while differentiating (or making less similar) representations of inputs that predict different future events. This model led to novel predictions for the behavioral consequences of hippocampal-region lesions in rodents and of brain damage in humans who have amnesia or are in the earliest stages of Alzheimer's disease. Many of these predictions have, since been confirmed by our lab and others. Functional brain imaging studies have provided further supporting evidence. In more recent computational modeling, we have shown how some aspects of this proposed information-processing function could emerge from known anatomical and physiological characteristics of the hippocampal region, including the entorhinal cortex and the septo-hippocampal cholinergic system. The modeling to date lays the groundwork for future directions that increase the depth of detail of the biological modeling, as well as the breadth of behavioral phenomena addressed. In particular, we are working now to reconcile these kinds of incremental associative learning models with other models of the hippocampal region that account for the rapid formation of declarative memories.
The Euler-Lagrange theory for Schur's algorithm: Wall pairs
Authors: S. Khrushchev
Venue: Journal of Approximation Theory (2006)

This paper develops a techniques of Wall pairs for the study of periodic exposed quadratic irrationalities in the unit ball of the Hardy algebra.
The Human Visual Recognition Ability for Incomplete Letters
Authors: Yinlai Jiang, Shuoyu Wang
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 2 (2006)

The human vision system has high-level recognition abilities and can efficiently and accurately identify an object based on object parts. In the present study, a letter recognition experiment was designed to evaluate recognition of incomplete objects by humans. Five subjects were asked to identify partially erased English letters displayed for short time periods. We found that features and correlations between features significantly influence letter identification. An algorithm based on information entropy is proposed to quantitatively evaluate the importance of letter features and the similarities between letters.
A New Watermark-embedded Image Generation for Display-capture based Mobile Watermarking
Authors: Jong-Wook Bae, Bo-Ho Cho, Sung-Hwan Jung
Venue: Proceedings of the 2006 International Conference on Hybrid Information Technology - Volume 02 (2006)

Most of existing watermarking technologies are related with the research of robust watermarking for copyright protection or with the research of fragile watermarking for an authentication. Therefore, most of existing watermarking schemes use an original image for embedding a watermark and focus on imperceptibility of the watermark. The proposed mobile watermarking scheme is a new concept for embedding, which uses the generated image instead of a given original image. It generates a proper MMB (Mobile Merchandise Bond) image for the watermark to be inserted. As experimental result, we could generate the MMB image and extract MMB information from the image, the watermark-embedded image, captured by the PC camera. So we could confirm availability of the generation of the watermark-embedded image in the display-capture environments.
Supporting Research with Weblogs: A Study on Web-Based Research Support Systems
Authors: JingTao Yao
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

Research environments have been changing with the availability of new technologies for decades. Researchers are benefited from digital libraries, online databases, and Web search engines recently. It is expected that the Web-based research systems play an important role in supporting research activities. Blogs, a new form of mainstream personal communication and a new voice for traditional media, recently gained much attention from the public, industrial and academic. This article studies issues on Web-based research support systems with blogs.
VMScope: a virtual multicast VPN performance monitor
Authors: Lee Breslau, Chris Chase, Nick Duffield, Bill Fenner, Yanhua Mao, Subhabrata Sen
Venue: Proceedings of the 2006 SIGCOMM workshop on Internet network management (2006)

The growth of one-to-many applications in enterprise networks is fueling the demand for VPNs to support multicast applications. The deployment of such a Multicast VPN service creates the need for appropriate management tools and techniques including performance monitoring, problem isolation and troubleshooting. In this paper we present the MVPN monitoring problem, identify requirements for solutions to the problem, and describe VMScope, a virtual MVPN performance monitor designed to facilitate provider monitoring and debugging of the MVPN service.
Graph Laplacian Kernels for Object Classification from a Single Example
Authors: Hong Chang, Dit-Yan Yeung
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (2006)

Classification with only one labeled example per class is a challenging problem in machine learning and pattern recognition. While there have been some attempts to address this problem in the context of specific applications, very little work has been done so far on the problem under more general object classification settings. In this paper, we propose a graph-based approach to the problem. Based on a robust path-based similarity measure proposed recently, we construct a weighted graph using the robust path-based similarities as edge weights. A kernel matrix, called graph Laplacian kernel, is then defined based on the graph Laplacian. With the kernel matrix, in principle any kernel-based classifier can be used for classification. In particular, we demonstrate the use of a kernel nearest neighbor classifier on some synthetic data and real-world image sets, showing that our method can successfully solve some difficult classification tasks with only very few labeled examples.
ERP Evidence for Cross-Modal Audiovisual Effects of Endogenous Spatial Attention within Hemifields
Authors: Martin Eimer, José Van Velzen, Jon Driver
Venue: Journal of Cognitive Neuroscience (2004)

Previous ERP studies have uncovered cross-modal interactions in endogenous spatial attention. Directing attention to one side to judge stimuli from one particular modality can modulate early modality-specific ERP components not only for that modality, but also for other currently irrelevant modalities. However, past studies could not determine whether the spatial focus of attention in the task-irrelevant secondary modality was similar to the primary modality, or was instead diffuse across one hemifield. Here, auditory or visual stimuli could appear at any one of four locations (two on each side). In different blocks, subjects judged stimuli at only one of these four locations, for an auditory (Experiment 1) or visual (Experiment 2) task. Early attentional modulations of visual and auditory ERPs were found for stimuli at the currently relevant location, compared with those at the irrelevant location within the same hemifield, thus demonstrating within-hemifield tuning of spatial attention. Crucially, this was found not only for the currently relevant modality, but also for the currently irrelevant modality. Moreover, these within-hemifield attention effects were statistically equivalent regardless of the task relevance of the modality, for both the auditory and visual ERP data. These results demonstrate that within-hemifield spatial attention for one task-relevant modality can transfer cross-modally to a task-irrelevant modality, consistent with spatial selection at a multimodal level of representation.
3D Archaeological Reconstruction and Visualisation: An Artificial Life Model for Determining Vegetation Dispersal Patterns in Ancient Landscapes
Authors: Eugene Ch'ng, Robert J. Stone
Venue: Proceedings of the International Conference on Computer Graphics, Imaging and Visualisation (2006)

This paper describes a methodology and software engine for generating dynamic vegetation models for archaeological reconstruction and interactive visualisation, integrating the disciplines of Artificial Life (Alife) and Virtual Reality. The engine, based on the concept of emergence (a phenomenon in complex Alife systems), uses real botanical parameters, channelled through simple rules, in order to synthesise the dispersal patterns of natural vegetation communities as they grow, reproduce, and compete for resources. The foci for the development and evaluation of the Alife engine described relate to different scenarios in nature as may have existed during the Mesolithic period. Results from the study showed evidence of correlations between the artificial vegetation and their natural counterparts, demonstrating the feasibility of using such models in historical landscape reconstructions.
Component-Based Development Process and Component Lifecycle
Authors: Ivica Crnkovic, Michel Chaudron, Stig Larsson
Venue: Proceedings of the International Conference on Software Engineering Advances (2006)

The process of component- and component-based system development differs in many significant ways from the "classical" development process of software systems. The main difference is in the separation of the development process of components from the development process of systems. This fact has a significant impact on the development process. Since the component-based approach is a relatively young approach in software engineering, the main emphasis in the area has been in development of technologies, while process modeling is still an unexplored area. This paper analyses the basic characteristics of the component-based approach and its impact on the development process and lifecycle models. The generic lifecycle of component-based systems and the lifecycle of components are discussed, and the different types of development processes are discussed in detail: architecture-driven component development, productline development and COTS-based development. Finally a short case study illustrates the principles and specifics of component-based processes.
On Optimisation of Smart Card Face Verification Systems
Authors: Thirimachos Bourlai, Josef Kittler, Kieron Messer
Venue: Proceedings of the IEEE International Conference on Video and Signal Based Surveillance (2006)

The optimisation of a smart card face verification system (SCFVS) design is a complex task. As the parameters involved are not independent, the search space is of exponential complexity. We investigate simplified optimisation strategies and demonstrate that both system performance and speed of access can be improved by jointly optimised parameter setting and level of probe compression. Experimental results suggest that the choice of one strategy over another is a matter of the amount of time available for the system design, system performance and response time.
Fourth order partial differential equations on general geometries
Authors: John B. Greer, Andrea L. Bertozzi, Guillermo Sapiro
Venue: Journal of Computational Physics (2006)

We extend a recently introduced method for numerically solving partial differential equations on implicit surfaces [M. Bertalmío, L.T. Cheng, S. Osher, G. Sapiro. Variational problems and partial differential equations on implicit surfaces, J. Comput. Phys. 174 (2) (2001) 759-780] to fourth order PDEs including the Cahn-Hilliard equation and a lubrication model for curved surfaces. By representing a surface in RN as the level set of a smooth function, φ, we compute the PDE using only finite differences on a standard Cartesian mesh in RN. The higher order equations introduce a number of challenges that are of less concern when applying this method to first and second order PDEs. Many of these problems, such as time-stepping restrictions and large stencil sizes, are shared by standard fourth order equations in Euclidean domains, but others are caused by the extreme degeneracy of the PDEs that result from this method and the general geometry. We approach these difficulties by applying convexity splitting methods, ADI schemes, and iterative solvers. We discuss in detail the differences between computing these fourth order equations and computing the first and second order PDEs considered in earlier work. We explicitly derive schemes for the linear fourth order diffusion, the Cahn-Hilliard equation for phase transition in a binary alloy, and surface tension driven flows on complex geometries. Numerical examples validating our methods are presented for these flows for data on general surfaces.
A Modified Generalized RBF Model with EM-based Learning Algorithm for Medical Applications
Authors: Ma Li, A Wahab, Chai Quek
Venue: Proceedings of the 19th IEEE Symposium on Computer-Based Medical Systems (2006)

Radial Basis Function (RBF) has been widely used in different fields, due to its fast learning and interpretability of its solution. One problem of classical RBF is that it suffers from curse of dimensionality that the number of basis functions will explode with the increase of dimensions in the dataset. This explosion usually impairs the usefulness and interpretability of RBF, especially in medical applications, where the dimensions of dataset are high and the explanations of solutions are important. In this paper, we propose a generalized RBF (GRBF) model to reduce the number of basis functions and thus alleviate curse of dimensionality. An EM-based training algorithm is also introduced, which uses fewer parameters compared to some classical supervised learning methods. This will make the learning process simpler and more convenient in practice. Moreover, GRBF trained by the new algorithm has an apparent statistical meaning. Experimental results show potentials for real-life applications.
Token based networking: experiment NL-101
Authors: Leon Gommans, Bas van Oudenaarde, Alfred Wan, Cees de Laat, Robert Meijer, Franco Travostino, Inder Monga
Venue: Future Generation Computer Systems (2006)

This short communication outlines an experiment where tokens, associated with application oriented IP streams, authorize access to an optical lightpath during iGrid 2005. The experiment showed the practical viability of this mechanism to perform access control and resource management within optical networks. The experiment was conducted in collaboration with the Virtual Machine Turntable (NL-103) experiment, which used the mechanism to obtain access to continental and transatlantic optical network segments that connected Virtual Machine sites.
Enhanced P2P Services Providing Multimedia Content
Authors: E. Ardizzone, L. Gatani, M. La Cascia, G. Lo Re, M. Ortolani
Venue: Proceedings of the Eighth IEEE International Symposium on Multimedia (2006)

Traditional Peer-to-Peer (P2P) services provide only basic searching facilities, based on unique identifiers or small sets of keywords. Unfortunately, this approach is very inadequate and inefficient when a huge amount of multimedia resources is shared. In this paper, we present an original image and video sharing system, in which a user is able to interactively search interesting resources by means of content-based image and video retrieval techniques. In order to limit the network traffic cost, maximizing the usefulness of each peer contacted in the query process, we also propose the adoption of an adaptive overlay routing algorithm, exploiting compact representations of the multimedia resources shared by each peer. Experimental results confirm that our approach can properly work, adapting the network topology to peer interests on the basis of query interactions among users.
High-Resolution Finite Volume Methods for Dusty Gas Jets and Plumes
Authors: Marica Pelanti, Randall J. LeVeque
Venue: SIAM Journal on Scientific Computing (2006)

We consider a model for dusty gas flow that consists of the compressible Euler equations for the gas coupled to a similar (but pressureless) system of equations for the mass, momentum, and energy of the dust. These sets of equations are coupled via drag terms and heat transfer. A high-resolution wave-propagation algorithm is used to solve the equations numerically. The one-dimensional algorithm is shown to give agreement with a shock tube test problem in the literature. The two-dimensional algorithm has been applied to model explosive volcanic eruptions in which an axisymmetric jet of hot dusty gas is injected into the atmosphere and the expected behavior is observed at two different vent velocities. The methodology described here, with extensions to three dimensions and adaptive mesh refinement, is being used for more detailed studies of volcanic jet processes.
Joint exploitation of multiple media from multimedia to databases
Authors: Patrick Gros
Venue: Proceedings of the 2nd international workshop on Computer vision meets databases (2005)

Multimedia content analysis offers many exciting research opportunities and is a necessary step towards automatic understanding of the content of digital documents. Digital documents are typically composite. Processing in parallel and integrating low-level information computed over each of the media that compose a multimedia document can yield knowledge that stand-alone and isolated analysis could not discover.Joint processing of multiple media is very challenging, even at the lowest analysis levels. Coping with imperfect synchronization of pieces of information, mixing extremely different kinds of information (numerical or symbolic descriptions, values describing intervals or instants, probabilities and distances, HMM and Gaussians, ...), and reconciling contradictory outputs are some of the obstacles which make processing of multimedia documents much more difficult than it seems at first glance.This talk will first show what may be gained from jointly analyzing multimedia documents. It will then briefly overview the typical information that can be extracted from major media (video, sound, images and text) before focusing on the problems that arise when trying to use all this information together. We hope to convince researchers to start trying to solve these problems, since they directly hamper the acquisition of higher-level knowledge from multimedia documents.
Ontology Development for Insect Morphology and Taxonomy System
Authors: Mingquan Zhou, Guohua Geng, Shiguo Huang
Venue: Proceedings of the 2006 IEEE/WIC/ACM international conference on Web Intelligence and Intelligent Agent Technology (2006)

In order to share and reuse the insect knowledge the infrastructure of Semantic Grid is needed and Ontology provides the basis of management of semantics for Semantic Grid. Therefore the ontology for insect morphology and taxonomy (IMTO) is developed. IMTO includes Insect Order sub-ontology and Family sub-ontology. Protégé 3.1 is used for ontology development of concepts and relationships that represent insect morphology and taxonomy.