ppxscal/embedding_network huggingface dataset:
Automatic Recurrent ANN development for signal classification: detection of seizures in EEGs
Authors: Daniel Rivero, Julian Dorado, Juan Rabuòal, Alejandro Pazos
Venue: Proceeding of the 2008 conference on ECAI 2008: 18th European Conference on Artificial Intelligence (2008)

Biomedical signal processing is one of the research fields that has received more research in the recent years or decades. Inside it, signal classification has shown to be one of the most important aspects. One of the most used tools for doing this analysis are Artificial Neural Networks (ANNs), which have proven their utility in modeling almost any input/output system. However, their application is not easy, because it involves some design and training stages in which the expert has to do much effort to develop a good network, which is even harder when working with time series, in which recurrent networks are needed. This paper describes a new technique for automatically developing Recurrent ANNs (RANNs) for signal processing, in which the expert does not have to take part on their development. These networks are obtained by means of Evolutionary Computacion (EC) tools, and are applied to the classification of electroencephalogram (EEGs) signals in epileptic patients. The objective is to discriminate those EEG signals in which an epileptic patient is having a seizure.
Innovative Approaches to the On-Site Assessment and Remediation of Contaminated Sites, 1st edition
Authors: Danny Reible, Katerina Demnerova
Venue: Nato Science Series Iv Earth And Environmental Sciences (2007)

The in-situ and on-site assessment and remediation of contaminated sites, together with risk-based management and control of hazardous substances, are potentially less expensive than other assessment and remediation approaches, while maintaining accuracy and effectiveness. Cost-effective remedial and management approaches that are also effective in minimizing exposure and risk to human health and the environment are a critical need throughout the world, especially in Eastern Europe and the former Soviet Union, where resources that can be devoted to chemical cleanup are especially limited. Although much of the focus of the book is on natural processes and how they might be enhanced for the management of contaminated sites, there is also a recognition that a portion of sites may require more invasive approaches, which are especially useful in managing source areas that contribute to the migration of contaminants in groundwater and other media. Among the more invasive approaches discussed are solvent extraction, direct bioremediation of PCBs, source areas and munitions, and chemical oxidation.
Of epistemic tools: Musical instruments as cognitive extensions
Authors: Thor Magnusson
Venue: Organised Sound (2009)

This paper explores the differences in the design and performance of acoustic and new digital musical instruments, arguing that with the latter there is an increased encapsulation of musical theory. The point of departure is the phenomenology of musical instruments, which leads to the exploration of designed artefacts as extensions of human cognition – as scaffolding onto which we delegate parts of our cognitive processes. The paper succinctly emphasises the pronounced epistemic dimension of digital instruments when compared to acoustic instruments. Through the analysis of material epistemologies it is possible to describe the digital instrument as an epistemic tool: a designed tool with such a high degree of symbolic pertinence that it becomes a system of knowledge and thinking in its own terms. In conclusion, the paper rounds up the phenomenological and epistemological arguments, and points at issues in the design of digital musical instruments that are germane due to their strong aesthetic implications for musical culture.
User modeling in position auctions: re-considering the GSP and VCG mechanisms
Authors: Danny Kuminov, Moshe Tennenholtz
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 (2009)

We introduce a study of position auctions, with an explicit modeling of user navigation through ads. We refer to our model as the PPA model, since it is most applicable in the context of pay-per-action position auctions. In this model, which is consistent with other recent approaches to user modeling, a typical user searches sequentially over the ordered list of ads. At each point the user has some probability of performing the action associated with the given ad, some probability of moving to the next ad, and some probability of quitting. In the framework of this model, we re-consider two basic mechanisms: the VCG position auction and the generalized second price (GSP) position auction. We study properties of these mechanisms in the context of the PPA model, and in particular show that the GSP position auction possesses a pure strategy equilibrium, and characterize a set of its equilibria. Our main corollary is that the highest revenue one may obtain in an equilibrium of the GSP position auction matches the revenue obtained in the VCG position auction. This suggests that the VCG position auction is preferable to the ad publisher upon the GSP position auction in the context of the PPA position auctions model. The latter is in sharp distinction to the basic result of the usefulness of GSP over VCG in the standard position auctions model, where user behavior is not modeled explicitly. We also study various possibilities for corruption in the PPA setting, and the relative robustness of the mechanisms against the corresponding manipulations.
Knowing Minimum/Maximum n Formulae
Authors: Thomas Ågotnes, Natasha Alechina
Venue: Proceeding of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy (2006)

We introduce a logical language with nullary operators min(n), for each non-negative integer n, which mean 'the reasoner has at least n different beliefs'. The resulting language allows us to express interesting properties of non-monotonic and resource-bounded reasoners. Other operators, such as 'the reasoner has at most n different beliefs' and the operator introduced in [1, 4]: 'the reasoner knows at most the formulae φ1,…,φn', are definable using min(n). We introduce several syntactic epistemic logics with min(n) operators, and prove completeness and decidability results for those logics.
Microsoft Word 2007 XP Level 1 & 2
Authors: Nita Rutkosky
Venue: Benchmark Series (2007)

ISBN|9780763829865 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
Proposed enhancements to the X3D geospatial component
Authors: Michael McCann, Richard Puk, Alan Hudson, Rex Melton, Don Brutzman
Venue: Proceedings of the 14th International Conference on 3D Web Technology (2009)

The Geospatial Component of the X3D Standard suffers from some deficiencies that prevent its wider adoption. This paper addresses two of these deficiencies. The first problem is that in order to reduce spatial jitter content must be built with regionally defined GeoOrigin nodes. This approach is fine for localized regional geospatial data visualization requirements, but fails for accurately viewing data in a global context or for combining content with different GeoOrigins. The second problem is the limited options for providing terrain data to the browser for rendering. The GeoLOD node is not the optimal solution for allowing the X3D browser to render terrain data in a high performing manner. This paper presents solutions to these problems for consideration by the Web3D community.
Accessing the densho and historymakers oral history collections via informedia technologies
Authors: Michael G. Christel, Robert V. Baron, Geoff Froh, Dan Benson, Julieanna Richardson
Venue: Proceedings of the 9th ACM/IEEE-CS joint conference on Digital libraries (2009)

Densho is a nonprofit organization started in 1996 with the goal of documenting oral histories from Japanese Americans who were incarcerated during World War II. The HistoryMakers is a nonprofit established in 1999 with the goal of documenting video life oral history interviews highlighting the accomplishments of individual African Americans and African-American-led groups and movements. Both collections share the goal of broader, deeper use of the oral history content through digitization and automated processing where appropriate. This demonstration showcases the application of Carnegie Mellon Informedia digital video library processing and interfaces to enhance access into the interview segments.
Primitive components: towards more flexible black box AOP
Authors: Yaseen Khattak, Stephen Barrett
Venue: Proceedings of the 1st International Workshop on Context-Aware Middleware and Services: affiliated with the 4th International Conference on Communication System Software and Middleware (COMSWARE 2009) (2009)

This paper describes an approach to enhance flexibility in Aspect Oriented Software Development that targets black box software components. To this end, a new model which we call Primitive Components is presented. These software components are finest grained black box software modules. Primitive Components are generated by a proposed tool from standard binaries. In this paper, the concept is presented and evaluated to find directions for future work. Finally the results of the evaluation are discussed.
Data and Structural k-Anonymity in Social Networks
Authors: Alina Campan, Traian Marius Truta
Venue: Privacy, Security, and Trust in KDD: Second ACM SIGKDD International Workshop, PinKDD 2008, Las Vegas, NV, USA, August 24, 2008, Revised Selected Papers (2009)

The advent of social network sites in the last years seems to be a trend that will likely continue. What naive technology users may not realize is that the information they provide online is stored and may be used for various purposes. Researchers have pointed out for some time the privacy implications of massive data gathering, and effort has been made to protect the data from unauthorized disclosure. However, the data privacy research has mostly targeted traditional data models such as microdata. Recently, social network data has begun to be analyzed from a specific privacy perspective, one that considers, besides the attribute values that characterize the individual entities in the networks, their relationships with other entities. Our main contributions in this paper are a greedy algorithm for anonymizing a social network and a measure that quantifies the information loss in the anonymization process due to edge generalization.
RF and Microwave Circuits, Measurements, and Modeling: Rf and Microwave Handbook, 2nd edition
Authors: Mike Golio, Janet Golio
Venue: The Electrical Engineering Handbook Series (2007)

Highlighting the challenges RF and microwave circuit designers face in their day-to-day tasks, RF and Microwave Circuits, Measurements, and Modeling explores RF and microwave circuit designs in terms of performance and critical design specifications. The book discusses transmitters and receivers first in terms of functional circuit block and then examines each block individually. Separate articles consider fundamental amplifier issues, low noise amplifiers, power amplifiers for handset applications and high power, power amplifiers. Additional chapters cover other circuit functions including oscillators, mixers, modulators, phase locked loops, filters and multiplexers. New chapters discuss high-power PAs, bit error rate testing, and nonlinear modeling of heterojunction bipolar transistors, while other chapters feature new and updated material that reflects recent progress in such areas as high-volume testing, transmitters and receivers, and CAD tools. The unique behavior and requirements associated with RF and microwave systems establishes a need for unique and complex models and simulation tools. The required toolset for a microwave circuit designer includes unique device models, both 2D and 3D electromagnetic simulators, as well as frequency domain based small signal and large signal circuit and system simulators. This unique suite of tools requires a design procedure that is also distinctive. This book examines not only the distinct design tools of the microwave circuit designer, but also the design procedures that must be followed to use them effectively.
Normative framework for normative system change
Authors: Guido Boella, Gabriella Pigozzi, Leendert van der Torre
Venue: Proceedings of The 8th International Conference on Autonomous Agents and Multiagent Systems - Volume 1 (2009)

Normative systems in a multiagent system must be able to evolve over time, for example due to actions creating or removing norms in the system. The only formal framework to evaluate and classify normative system change methods is the so-called AGM framework of theory change, which has originally been developed as a framework to describe and classify both belief and normative system change. However, it has been used for belief change only, since the beliefs or norms are represented as propositional formulas. We therefore propose, as a normative framework for normative system change, to replace propositional formulas in the AGM framework of theory change by pairs of propositional formulas, representing the rule based character of norms, and to add several principles from the input/output logic framework. In this new framework, we show that some of the AGM properties cannot be expressed, and other properties are consistent only for some logics, but not for others.
Asynchronous simulation of a self-synchronized duty-cycling mechanism for mobile sensor networks
Authors: Hugo Hernández, Christian Blum
Venue: Proceedings of the 2009 workshop on Bio-inspired algorithms for distributed systems (2009)

In previous work we introduced a self-synchronized duty-cycling mechanism for mobile sensor networks with energy harvesting capabilities, inspired by the self-synchroned sleeping patterns that can be observed in real ant colonies. The focus of our previous study was mainly on swarm intelligence aspects of the proposed system. In contrast, in this paper we propose a more realistic version of the initial system. The proposed changes concern in particular the systems' asynchronous simulation. Instead of exchanging information at the same time, in our new proposal sensor nodes wake up periodically based on their own internal clock and perform an update of their internal state based on the information received by their neighbors. In addition we use a more realistic mobility model and apply the system to scenarios where weather conditions vary over the area of deployment. The simulation results show that our asynchronous system also permits adaptive duty-cycling, and that the system is able to adapt to changing weather conditions.
The effects of temperature equilibrium in mixed cell hydrodynamics
Authors: John W. Grove
Venue:  (2007)

Eulerian numerical schemes work well for smooth single-component hydrodynamic flow modeling. For multicomponent flows in compressible regimes, the emergence of large gradients in flow variables and the presence of material contacts degrade the quality of traditional Eulerian finite difference methods. Although higher order Godunov methods adequately capture shocks, artificial diffusion at contacts leads to poorly resolved interfaces. Many techniques, such as adaptive mesh refinement, interface preservers and explicit interface treatments, have been proposed to address these problems. We study two Eulerian codes that adopt different techniques to overcome the difficulties of modeling multicomponent compressible hydrodynamics. RAGE, a code developed for the U.S. Department of Energy's Advanced Simulations and Computing program, implements adaptive mesh refinement (AMR) to improve resolution of shocks and contacts. FronTier, a code developed at Stony Brook, resolves contacts and prevents numerical diffusion by tracking material interfaces and maintaining the jump in states across interfaces. The use of mixed cells distinguishes RAGE from FronTier. In RAGE, interfaces exist implicitly in mixed cells, where the code assumes pressure, temperature and velocity equilibrium among the multiple material components present, while FronTier maintains an explicit interface across material contacts. Although the equilibrium assumption of RAGE provides desirable mathematical properties and a relatively simple numerical implementation, the model depends on a microphysical assumption of that may not be valid for some shock interactions. By studying and comparing test problem results from FronTier and RAGE, we investigate how the mixed cell equilibrium assumption influences flow hydrodynamics. In particular we consider several one and two&mdash;dimensional test problems. For the one&mdash;dimensional test problems and a two&mdash;dimensional test problem with similar materials, the two codes produce qualitatively similar results. However, in two dimensional Richtmyer&mdash;Meshkov instabilities with strong shocks and high contrast materials, we find that the pressure-temperature&mdash;velocity equilibrium assumption leads to large scale differences in the interface structure and relevant thermodynamic variables.
An Efficient Active Camera Model for Video Surveillance
Authors: Karthik Sankaranarayanan, James W. Davis
Venue: Proceedings of the 2008 IEEE Workshop on Applications of Computer Vision (2008)

We propose an efficient active camera model to map image coordinates to the camera's pan-tilt orientations in constant time. The model is based on the elliptical locus of the projections of a fixed point on the original image plane of a moving camera. The parametric location of this point along the ellipse defines the change in camera orientation. This model does not require any knowledge of camera parameters other than the focal length. Using synthetic and real data, we show the accuracy of the model by generating seamless spherical panoramas from a set of images and demonstrate the applicability of the model with a real-time active tracking application.
Admission control for differentiated services in future generation CDMA networks
Authors: Hwee-Pink Tan, Rudesindo Núñez-Queija, Adriana F. Gabor, Onno J. Boxma
Venue: Performance Evaluation (2009)

Future Generation CDMA wireless systems, e.g., 3G, can simultaneously accommodate flow transmissions of users with widely heterogeneous applications. As radio resources are limited, we propose an admission control rule that protects users with stringent transmission bit-rate requirements (''streaming traffic'') while offering sufficient capacity over longer time intervals to delay-tolerant users (''elastic traffic''). While our strategy may not satisfy classical notions of fairness, we aim to reduce congestion and increase overall throughput of elastic users. Using time-scale decomposition, we develop approximations to evaluate the performance of our differentiated admission control strategy to support integrated services with transmission bit-rate requirements in a realistic downlink transmission scenario for a single radio cell.
Partial Lanczos extreme learning machine for single-output regression problems
Authors: Xiaoliang Tang, Min Han
Venue: Neurocomputing (2009)

There are two problems preventing the further development of extreme learning machine (ELM). First, the ill-conditioning of hidden layer output matrix reduces the stability of ELM. Second, the complexity of singular value decomposition (SVD) for computing Moore-Penrose generalized inverse limits the learning speed of ELM. For these two problems, this paper proposes the partial Lanczos ELM (PL-ELM) which employs the hybrid of partial Lanczos bidiagonalization and SVD to compute output weights. Experimental results indicate that, compared with ELM, PL-ELM not only effectively improves the stability and generalization performance but also raises the learning speed.
Passive microfluidic gas valves using capillary pressure
Authors: Duckjong Kim, Y. W. Hwang, S.-J. Park
Venue: Microsystem Technologies (2009)

In this study, we developed micro gas valves which can control the gas pressure inside microfluidic systems in a simple and passive way. We designed a microfluidic chip having a liquid reservoir, a gas chamber and a microchannel connecting them to demonstrate both a micro relief valve and a micro regulator on a chip. We fabricated and tested the microfluidic chip to check the feasibility of the proposed micro valves. Test results show that when the gas pressure is greater than the relief pressure the micro relief valve discharges the gas decreasing the system pressure down to the atmospheric pressure. Also, the micro regulator kept the system pressure constant regardless of the degree of the over-pressure at pressure source. The proposed valves would be good candidates for cheap and reliable gas pressure controller in various microfluidic systems using gases.
Tell me something I don't know: randomization strategies for iterative data mining
Authors: Sami Hanhijärvi, Markus Ojala, Niko Vuokko, Kai Puolamäki, Nikolaj Tatti, Heikki Mannila
Venue: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009)

There is a wide variety of data mining methods available, and it is generally useful in exploratory data analysis to use many different methods for the same dataset. This, however, leads to the problem of whether the results found by one method are a reflection of the phenomenon shown by the results of another method, or whether the results depict in some sense unrelated properties of the data. For example, using clustering can give indication of a clear cluster structure, and computing correlations between variables can show that there are many significant correlations in the data. However, it can be the case that the correlations are actually determined by the cluster structure. In this paper, we consider the problem of randomizing data so that previously discovered patterns or models are taken into account. The randomization methods can be used in iterative data mining. At each step in the data mining process, the randomization produces random samples from the set of data matrices satisfying the already discovered patterns or models. That is, given a data set and some statistics (e.g., cluster centers or co-occurrence counts) of the data, the randomization methods sample data sets having similar values of the given statistics as the original data set. We use Metropolis sampling based on local swaps to achieve this. We describe experiments on real data that demonstrate the usefulness of our approach. Our results indicate that in many cases, the results of, e.g., clustering actually imply the results of, say, frequent pattern discovery.