ppxscal/embedding_network huggingface dataset:
Dynamical Control in Large-Scale Material Handling Systems through Agent Technology
Authors: Kasper Hallenborg, Yves Demazeau
Venue: Proceedings of the IEEE/WIC/ACM international conference on Intelligent Agent Technology (2006)

Delayed arrivals, missing tag codes, flight changes, break-downs, etc. are some of the factors, which make the environment of airport baggage handling systems (BHS) extremely dynamic. Pre-scheduling and optimization is not an option, as identity, destination, and the order of items are unknown until they enter the system, which raises the requirement of dynamic control. The DECIDE project focuses on using multi-agent technologies as generic software components to replace traditional system-specific, centralized control software of production systems. This paper presents an application of multi-agent technologies to be used in large-scale material handling systems, such as BHS. To increase understanding and flexibility, standardized interaction patterns from the FIPA organization are used in combination with ontologies, which defines a vocabulary that enables meta-level communication. A mix of coordinating shop floor agents and mediator agents establish an agent platform capable of coping with the challenges. The investigated BHS problem is part of a larger research project, DECIDE, applying multi-agent controls in production systems.
Performance Evaluation of Vision-Based High DOF Human Movement Tracking: A Survey And Human Computer Interaction Perspective
Authors: Daniel Heckenberg
Venue: Proceedings of the 2006 Conference on Computer Vision and Pattern Recognition Workshop (2006)

Accurate tracking of human movement has the potential to enable many kinds of human-computer interaction (HCI). Vision-based methods promise tracking without encumberance by body-mounted apparatus but constitute a significant research challenge. Its many applications both in HCI and other areas such as surveillance have made markerless human tracking a central problem in computer vision. Despite this research focus, there are few established mechanisms for evaluating and comparing the performance of reported solutions. Furthermore, very few systems have attempted human-centered evaluation using methods from HCI research. This paper presents a review of evaluation methods employed in the literature of high degree of freedom human movement tracking systems. Detailed full-body tracking and hand tracking systems are included. Suitable evaluation methods employed in other computer vision and HCI research are also considered.
Single View Reconstruction of Curved Surfaces
Authors: Mukta Prasad, Andrew Fitzgibbon
Venue: Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2 (2006)

Recent advances in single-view reconstruction (SVR) have been in modelling power (curved 2.5D surfaces) and automation (automatic photo pop-up). We extend SVR along both of these directions. We increase modelling power in several ways: (i) We represent general 3D surfaces, rather than 2.5D Monge patches; (ii) We describe a closed-form method to reconstruct a smooth surface from its image apparent contour, including multilocal singularities ("kidney-bean" self-occlusions); (iii) We show how to incorporate user-specified data such as surface normals, interpolation and approximation constraints; (iv) We show how this algorithm can be adapted to deal with surfaces of arbitrary genus. We also show how the modelling process can be automated for simple object shapes and views, using a-priori object class information. We demonstrate these advances on natural images drawn from a number of object classes.
Designing and processing signals for array processing for random channels
Authors: J. W. Lechleider
Venue: Proceedings of the Acoustics, Speech, and Signal Processing, 1993. ICASSP-93 Vol 4., 1993 IEEE International Conference on - Volume 04 (1993)

The author studies array processing of signals through channels that have a mean value and a random part. The transmitted signal shapes that maximize the ratio of the power in the expected channel output signal to the sum of the multiplicative and added noise are determined. This permits the application of noise cancellation techniques in processing the channel output to obtain an optimum array processing receiver. 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
Simulation support for a new approach to multimodal transportation handling
Authors: Markus Klug, Shabnam Michèle Tauböck, Helmut-Klaus Schimany, Dietmar Schratt, Günther Kaluza
Venue: Proceedings of the 37th conference on Winter simulation (2005)

New approaches for multimodal transportation solutions are necessary to increase competitiveness, efficiency and speed of container transportation on railways. Especially the modal changes between train and truck are subject to be investigated. A new innovative approach, the "Innovative Handling Terminal (IUT)" addresses the problem. Putting road and train track side by side together with dividing handling and storing into two task-specific systems was the winning approach of a EU-founded project on new methods. Because of huge investing efforts in the development, the whole system was primarily built in the simulation model, with emphasis on flexibility and visualization. The model was realized with the possibility to compare different layouts (different sizes, different, number of handling units, etc.) of terminals just by changing parameters from an external data source. The simulation model together with the animation turned out to be unavoidable support for the whole development process, and is still continued to be extended and used.
A Data Mining Approach for Managing Shared Ontological Knowledge
Authors: Ching-Chieh Kiu, Chien-Sing Lee
Venue: Proceedings of the Sixth IEEE International Conference on Advanced Learning Technologies (2006)

Semantics are added to content components through ontological definitions to provide context to learning objects (LOs). Therefore, an ontological contextual environment facilitates knowledge management processes such as reusing, sharing, retrieving and indexing LOs for contextual learning in integrated learning environments. Consequently, contextual LOs from different learning object repositories can be more easily and meaningfully codified and exchanged through a shared ontology. This paper presents new ontological mapping and merging results using a hybrid data mining approach in our ontology mapping and merging method, OntoDNA. Different lexical measures are used to discover semantic similarity between ontological elements to generate a shared ontology. Accuracy in mapping and merging is measured using precision, recall, and f-measure. Significance of the study lies in the algorithm's scalability and in simple transformation of ontological attributes for data processing.
Output Units of Motor Behavior: An Experimental and Modeling Study
Authors: E. P. Loeb, S. F. Giszter, P. Saltiel, E. Bizzi, F. A. Mussa-Ivaldi
Venue: Journal of Cognitive Neuroscience (2000)

Cognitive approaches to motor control typically concern sequences of discrete actions without taking into account the stunning complexity of the geometry and dynamics of the muscles. This begs the question: Does the brain convert the intricate, continuous-time dynamics of the muscles into simpler discrete units of actions, and if so, how? One way for the brain to form discrete units of behavior from muscles is through the synergistic co-activation of muscles. While this possibility has long been known, the composition of potential muscle synergies has remained elusive. In this paper, we have focused on a method that allowed us to examine and compare the limb stabilization properties of all possible muscle combinations. We found that a small set (as few as 23 out of 65,536) of all possible combinations of 16 limb muscles are robust with respect to activation noise: these muscle combinations could stabilize the limb at predictable, restricted portions of the workspace in spite of broad variations in the force output of their component muscles. The locations at which the robust synergies stabilize the limb are not uniformly distributed throughout the leg&rsquo;s workspace, but rather, they cluster at four workspace areas. The simulated robust synergies are similar to the actual synergies we have previously found to be generated by activation of the spinal cord. Thus, we have developed a new analytical method that enabled us to select a few muscle synergies with interesting properties out of the set of possible muscle combinations. Beyond this, the identification of robustness as a common property of the synergies in simple motor behaviors will open the way to the study of dynamic stability, which is an important and distinct property of the vertebrate motor-control system.
Particle Swarm Optimization for Image Noise Cancellation
Authors: Yue-Cheng Chen, Hsin-Chih Wang, Te-Jen Su
Venue: Proceedings of the First International Conference on Innovative Computing, Information and Control - Volume 1 (2006)

In this paper, a novel method for designing templates of cellular neural network to cancel the image noise is discussed. The discrete-time cellular neural network (DTCNN) combining with particle swarm optimization (PSO) is applied to image noise cancellation. Based on PSO method, the templates of cellular neural network is optimized to diminish noise interference in polluted image. The demonstrated examples are presented to show the better performance of the proposed methodology (PSO-CNN).
On proactivity and maintenance goals
Authors: Simon Duff, James Harland, John Thangarajah
Venue: Proceedings of the fifth international joint conference on Autonomous agents and multiagent systems (2006)

Goals are an important concept in intelligent agent systems, and can take a variety of forms. One such form is maintenance goals, which, unlike achievement goals, define states that must remain true, rather than a state that is to be achieved. Maintenance goals are generally restricted to acting as trigger conditions for goals or plans, and often take no part in any deliberation process. These goals are reactive and are only acted upon when the maintenance conditions are no longer true. In this paper, we study maintenance goals that are proactive, in that the agent system needs to not only react when the maintenance conditions fail, but also anticipate the failures of these conditions, and act in order to avoid them failing. This can be done by performing actions that prevent the condition from failing, or suspending goals that will cause the maintenance conditions to fail. We provide a representation for maintenance goals that captures both their reactive and proactive aspects, algorithms that identify in advance where maintenance conditions may not hold, and mechanisms for enabling preventative actions in such situations. We also provide some experimental results on an implementation of these ideas.
A Hybrid Rough Set--Particle Swarm Algorithm for Image Pixel Classification
Authors: Swagatam Das, Ajith Abraham, Subir Kumar Sarkar
Venue: Proceedings of the Sixth International Conference on Hybrid Intelligent Systems (2006)

This article presents a framework to hybridize the rough set theory with a famous swarm intelligence algorithm known as Particle Swarm Optimization (PSO). The hybrid rough-PSO technique has been used for grouping the pixels of an image in its intensity space. Medical and remote sensing satellite images become corrupted with noise very often. Fast and efficient segmentation of such noisy images (which is essential for their further interpretation in many cases) has remained a challenging problem for years. In this work, we treat image segmentation as a clustering problem. Each cluster is modeled with a rough set. PSO is employed to tune the threshold and relative importance of upper and lower approximations of the rough sets. Davies-Bouldin clustering validity index is used as the fitness function, which is minimized while arriving at an optimal partitioning.
Grid computing for parallel bioinspired algorithms
Authors: N. Melab, S. Cahon, E.-G. Talbi
Venue: Journal of Parallel and Distributed Computing (2006)

This paper focuses on solving large size combinatorial optimization problems using a Grid-enabled framework called ParadisEO-CMW (Parallel and Distributed EO on top on Condor and the Master Worker Framework). The latter is an extension of ParadisEO, an open source framework originally intended to the design and deployment of parallel hybrid meta-heuristics on dedicated clusters and networks of workstations. Relying on the Condor-MW framework, it enables the execution of these applications on volatile heterogeneous computational pools of resources. The motivations, architecture and main features will be discussed. The framework has been experimented on a real-world problem: feature selection in near-infrared spectroscopic data mining. It has been solved by deploying a multi-level parallel model of evolutionary algorithms. Experimentations have been carried out on more than 100 PCs originally intended for education. The obtained results are convincing, both in terms of flexibility and easiness at implementation, and in terms of efficiency, quality and robustness of the provided solutions at run time.
Optimizing an OBS scheduler buffer
Authors: Andrew Zalesky
Venue: Proceedings of the 1st international conference on Performance evaluation methodolgies and tools (2006)

We dimension a buffer in which headers are enqueued during times an OBS scheduler is overwhelmed. Too large a buffer requires a prolonged offset period to counterbalance longer per-hop worst-case header queueing delays, resulting in reduced throughput and increased packet loss due to edge buffer overflow. While too small a buffer cannot absorb enough variability in the header arrival process, resulting in increased burst lost due to a greater number of headers arriving to find a full buffer. For the first time, we develop and analyze a unified OBS model comprising a set of homogeneous and independent edge buffers that feed bursts to a stand-alone link and their headers to a scheduler. Packets arrive at each edge buffer and are assembled into bursts, after which they are transmitted on a wavelength channel if their corresponding headers are successfully processed. To enable a tractable analysis, we invoke an independence and Poisson assumption that permits decoupling of our model into its three constituent sub-models. Simulation is used to gauge the error incurred in invoking these assumptions. We demonstrate that an optimal buffer size may exist and depends on the number of packets comprising a burst and the size of an edge buffer.
Optimal protection of two-degree-of-freedom system from shock and vibration
Authors: S. V. Purtsezov
Venue: Proceedings of the 2003 International Conference on Physics and Control - Volume 4 (2003)

Problem of shock and vibration isolation for rectilinearly moving isolation system with two masses and passive isolators consisted of damper and stiffness elements with linear characteristics is investigated. A performance criteria peak forces transmitted to the mass being isolated for shock and vibration external disturbances and maximums of relative displacements of the masses are used. Calculation of parameters of isolation system for parabolic type of external shock disturbance is fulfilled. 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
Rendering multi-perspective images with trilinear projection
Authors: Scott Vallance, Paul Calder
Venue: Proceedings of the 29th Australasian Computer Science Conference - Volume 48 (2006)

Non-linear projections of 3D graphical scenes can be used to compute reflections and refractions in curved surfaces, draw artistic images in the style of Escher or Picasso, and produce visualizations of complex data. Previously, most non-linear projections were rendered by ray tracing. This paper presents trilinear projection, a technique for rendering non-linear projections in a manner that achieves significant performance benefits by taking advantage of current rendering hardware and software.Trilinear projections are geometrically similar to Phong-shaded triangular patches, and like Phong patches they can be joined to represent more complicated shapes. The paper details how a single trilinear projection projects a scene point, how projections of scene triangles can be built up by considering the connectivity of projected points, and how multiple trilinear projections can be combined. Finally, it outlines a method for using trilinear projection to approximate reflections and refractions on curved surfaces.
Assessment of a Multi-Strategy Classifier for an Embedded Software System
Authors: Taghi M. Khoshgoftaar, Kehan Gao
Venue: Proceedings of the 18th IEEE International Conference on Tools with Artificial Intelligence (2006)

In this paper, a new classification model, RB2CBL, is proposed. Its structure and methodology are described. By cascading a rule-based (RB) model with two case-based learning (CBL) models, RB2CBL possesses the merits of both RB model and CBL model and restrains their drawbacks. In the RB2CBL model, the parameter optimization of the CBL models is essential, and the embedded genetic algorithm optimizer is used. In our case study, a dataset collected from initial releases of two large,Windowsc-based embedded system applications, which were used primarily for customizing the configuration of wireless telecommunications products, is processed to investigate and evaluate the models. The results show that, by suitably choosing accuracy settings of the RB model, RB2CBL model outperforms the RB model alone without overfitting. In practice, the RB2CBL model effectively reduced the misclassification rates and improved prediction accuracy for the embedded software system.
Approximation characteristics for diagonal operators in different computational settings
Authors: Fang Gensun, Qian Lixin
Venue: Journal of Approximation Theory (2006)

First we study several extremal problems on minimax, and prove that they are equivalent. Then we connect this result with the exact values of some approximation characteristics of diagonal operators in different settings, such as the best n-term approximation, the linear average and stochastic n-widths, and the Kolmogorov and linear n-widths. Most of these exact values were known before, but in terms of equivalence of these extremal problems, we present a unified approach to give them a direct proof.
SIL: a model for analyzing scalable peer-to-peer search networks
Authors: Brian F. Cooper, Hector Garcia-Molina
Venue: Computer Networks: The International Journal of Computer and Telecommunications Networking (2006)

The popularity of peer-to-peer search networks continues to grow, even as limitations to the scalability of existing systems become apparent. We propose a simple model for search networks, called the Search/Index Links (SIL) model, which can be used to analyze the scalability, search latency and fault tolerance of search networks. The model describes two kinds of links: search links, over which content searches are routed, and index links, over which content indexes are replicated. The combination of routing and indexing in the same network is extremely useful for building scalable, efficient search networks. While the SIL model can be used to examine existing networks, it can also be used to discover new organizations by defining desirable (or undesirable) properties of SIL graphs and then examining the topologies that exhibit (or lack) those properties. We define one such undesirable property, which we call redundancy, and show how it can be prevented by avoiding specific topological features. Using analytical and simulation results, we argue that one new organization discovered via our analysis, parallel search clusters, is superior to existing supemode networks in many cases: for example, in a network with 10,000 nodes, our analysis shows that the average node in a supernode network is up to 16 times more loaded than the average node in a cluster network. At the same time, a cluster network has better fault tolerance than, and similar search latency to, a supernode network.
Distributed collaborative learning across disciplines and national borders
Authors: Elsebeth K. Sorensen, Eugene S. Takle
Venue: Proceedings of the 1999 conference on Computer support for collaborative learning (1999)

Networked computers and methods of distance learning are increasingly being used to meet the growing educational need for lifelong learning on flexible conditions. This paper reports on a cross-disciplinary and international collaboration between two web-based courses, which each in their way - mirror an attempt to meet this need for flexibility in education: a Danish Distributed CSCL course from the Humanities on how to design teaching and learning in pedagogically appropriate ways using ICT-technology (i.e. the whole research area of CSCL), and an American mixed-mode CSCL course (on-campus and web-delivered) from the Sciences on global environmental issues.The overall intention behind the collaboration has been "mutual learning" and the dissemination of knowledge across both disciplines and national borders. In very broad terms, the Danish course is an example of what it teaches, and the collaboration has brought a dimension of virtually based "practice" and of "reflection in practice" into the Distributed CSCL situation of the Danish students. As for the American course, some pedagogical aspects of the Global change course were evaluated using the pedagogical tools within the course itself, and the designers enjoyed the benefit of feedback from the Danish students on design, delivery and pedagogical techniques.From the perspective of CSCL-technology, we intersected two ICT-tools within the cross-disciplinary, collaborative learning context (the web and videoconferencing) to explore their synergism.
Anticipating Words and Their Gender: An Event-related Brain Potential Study of Semantic Integration, Gender Expectancy, and Gender Agreement in Spanish Sentence Reading
Authors: Nicole Y.Y. Wicha, Eva M. Moreno, Marta Kutas
Venue: Journal of Cognitive Neuroscience (2004)

Recent studies indicate that the human brain attends to and uses grammatical gender cues during sentence comprehension. Here, we examine the nature and time course of the effect of gender on word-by-word sentence reading. Event-related brain potentials were recorded to an article and noun, while native Spanish speakers read medium- to high-constraint Spanish sentences for comprehension. The noun either fit the sentence meaning or not, and matched the preceding article in gender or not; in addition, the preceding article was either expected or unexpected based on prior sentence context. Semantically anomalous nouns elicited an N400. Gender-disagreeing nouns elicited a posterior late positivity (P600), replicating previous findings for words. Gender agreement and semantic congruity interacted in both the N400 window&mdash;with a larger negativity frontally for double violations&mdash;and the P600 window&mdash;with a larger positivity for semantic anomalies, relative to the prestimulus baseline. Finally, unexpected articles elicited an enhanced positivity (500&ndash;700 msec post onset) relative to expected articles. Overall, our data indicate that readers anticipate and attend to the gender of both articles and nouns, and use gender in real time to maintain agreement and to build sentence meaning.