ppxscal/embedding_network huggingface dataset:
Total electron content (TEC) and model validation at an equatorial region
Authors: Norsuzila YaAcob, Mardina Abdullah, Mahamod Ismail, Azami Zaharim
Venue: Proceedings of the 13th WSEAS international conference on Applied mathematics (2008)

The ionosphere has practical importance in GPS applications because it influences transionospheric radio wave propagation. The parameter of ionosphere that produces most of the effects on radio signals is Total Electron Content (TEC). By modelling this TEC parameter, the evaluation of the ionospheric error and the correction of these ionospheric errors for differential GPS can be done. A new approach in the determination of the differential ionospheric error to sub- centimeter accuracy is described in this paper utilizing a developed model. An ionospheric delay model was developed to accurately determine the difference in ionospheric delay expected over a short baseline so that a more accurate differential GPS correction could be made. An ionospheric error correction model should be made applicable to any location including the equatorial region. The results showed that the developed algorithm is a function of elevation angle and TEC from the reference station path to the satellite and could give differential ionospheric delay in sub-centimetre accuracy.
Product-Centered Mobile Reasoning Support for Physical Shopping Situations
Authors: Wolfgang Maass, Andreas Filler, Jan Seeburger
Venue: Proceeding of the 2008 conference on Techniques and Applications for Mobile Commerce: Proceedings of TAMoCo 2008 (2008)

Smart products are hybrids that merge tangible products with mobile information technologies. This opens up unprecedented opportunities for product designers and marketing manager for implementing adaptive and situation-aware product interfaces that generate dynamic communication behaviour with customers during the whole life-cycle of a single product. The realisation of this vision requires, beside others, expressive and machine-readable product representations and an open product information infrastructure. With Tip 'n Tell we present an architecture that supports smart products. Product information is representedj by a coherent container model, called SPDO, that uses semantically annotated descriptions in OWL-DL format. Based on these elements we demonstrate services that allow finding multimedia content that fits to a product in focus based on a combination of DL-reasoning and RDF-based rule derivations. Similar products to a product in focus are determined by statistical similarity measures on feature level. Finally we present a logic-based service that determines compatible products.
Trading Paper Clips --An Analysis of “Trading Up” in Artificial Societies without Altruists
Authors: David Cabanillas, Steven Willmott, Ulises Cortés
Venue: Proceeding of the 2008 conference on Artificial Intelligence Research and Development: Proceedings of the 11th International Conference of the Catalan Association for Artificial Intelligence (2008)

The remarkable recent story of Kyle MacDonald who, by means of a sequence of bartering exchanges between July 2005 and July 2006, managed to trade a small red paperclip for a full sized house in the town of Kipling Saskatchewan has inspired interesting debates about the nature of such feats and questions as to how they might come about. While bartering is arguably the world's oldest form of trade, there are still cases such as this which surprise us. Although there are many factors to consider in Kyle's achievement, his feat raises basic questions about the nature of the trades made and to what extent they are repeatable. In this paper we provide an intuitive model for the type of trading environment experienced Kyle and study its consequences in order to analyze in particular whether such trading phenomena require altruistic agents to be present in the environment and extending the experience with multiple goal seeking agents.
From a Single Point to a Surface Patch by Growing Minimal Paths
Authors: Fethallah Benmansour, Laurent D. Cohen
Venue: Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision (2009)

We introduce a novel implicit approach for surface patch segmentation in 3D images starting from a single point. Since the boundary surface of an object is locally homeomorphic to a disc, we know that the boundary of a small neighboring domain intersects the surface of interest on a single closed curve. Similarly to active surfaces, we use a cost potential which penalizes image regions of low interest. First, Using a front propagation approach from the source point chosen by the user, one can see that the closed curve corresponds to a valley line of the arrival time from the source point. Next, we use an implicit 3D segmentation method. It assumes that the object boundary contains two known constraining curves. In our case, the first curve is reduced to a point and the other one is automatically detected by our approach. A partial differential equation is introduced and its solution is used for segmentation. The zero level set of this solution contains the valley line and the source point as well as the set of minimal paths joining them. We present a fast implementation which has been successfully applied to 3D biomedical and synthetic images.
Codetrail: Connecting source code and web resources
Authors: Max Goldman, Robert C. Miller
Venue: Proceedings of the 2008 IEEE Symposium on Visual Languages and Human-Centric Computing (2008)

When faced with the need for documentation, examples, bug fixes, error descriptions, code snippets, workarounds, templates, patterns, or advice, software developers frequently turn to their web browser. Web resources both organized and authoritative as well as informal and community-driven are heavily used by developers. The time and attention devoted to finding (or re-finding) and navigating these sites is significant. We present Codetrail, a system that demonstrates how the developer’s use of web resources can be improved by connecting the Eclipse IDE and the Firefox web browser. Codetrail uses a communication channel and shared data model between these applications to implement a variety of integrative tools. By combining information previously available only to the IDE or the web browser alone (such as editing history, code contents, and recent browsing), Codetrail can automate previously manual tasks and enable new interactions that exploit the marriage of data and functionality from Firefox and Eclipse. Just as the IDE will change the contents of peripheral views to focus on the particular code or task with which the developer is engaged, so, too, the web browser can be focused on the developer’s current context and task.
Load Prediction Using Combination of Neural Networks and Simple Strategies
Authors: Maciej Grzenda
Venue: Proceeding of the 2008 conference on Tenth Scandinavian Conference on Artificial Intelligence: SCAI 2008 (2008)

Numerous techniques of artificial intelligence have been used for building prediction models. One of such tasks is the prediction of heat consumption in a district heating system. Not only is it required for ensuring sufficient heat production, but also it is necessary to avoid substantial heat loss due to overestimated demand for heat. The work presents the use of multilayer perceptrons for building prediction models. However, instead of building prediction models based on artificial neural networks only, hybrid approach is considered and evaluated. Evolutionary approach used to combine neural networks and a number of simple methods into hybrid prediction models is presented. Such models are developed for groups of consumers sharing similar thermal properties identified by self-organising map. It has been shown that by combining neural networks with simple predictive strategies lower prediction error rates can be achieved than in case of using neural networks only.
A library of general-purpose action descriptions
Authors: Vladimir Lifschitz
Venue:  (2008)

An important idea in knowledge representation is that of libraries of reusable knowledge components. The goal of this research is to apply this idea to action description languages. An action language may be used to specify the effects and preconditions of actions, and serves to describe "transition systems"&mdash;directed graphs with the vertices representing the states of an action domain and the edges representing the transitions that are caused by performing actions (or by the passage of time). Many actions can be described as special cases of other actions. (For example, pushing, carrying, going can all be described as special cases of moving things around.) However, descriptions of action domains in existing action languages describe the effects of all actions from scratch, which leads to common aspects of different domains getting reinvented over and over.In this dissertation we first developed a method for defining actions in terms of other actions, in the action language C +, a language with a rich set of features for describing action domains. This provided a theoretical basis for developing a library of general-purpose action descriptions and influenced the design of the Modular Action Description (MAD) language [Lifschitz and Ren, 2006], the semantics of which is based on C +.We extended the original MAD language in several ways, both in the syntactic dimension and in the semantic dimension, and developed an implementation of this extended language. The extended semantics not only provides new features but also addresses some shortcomings of the original semantics, which were identified during the course of our research. The implemented system was used to develop a library of basic MAD modules, each describing a group of general commonsense facts related to actions.Several action domains from the knowledge representation literature were formalized using the library of basic action descriptions. The availability of the library led to the representations being much simpler than before and also enabled us to recognize structural similarities of seemingly quite different domains.
Panel proposal: state of the art perspectives on health information technology
Authors: Teresa M. Harrison
Venue: Proceedings of the 10th Annual International Conference on Digital Government Research: Social Networks: Making Connections between Citizens, Data and Government (2009)

Health information technologies encompass a variety of tools that facilitate the organizational management of health information, support secure exchanges of information between consumers and providers, and enable individuals to manage their personal health information. Participants on this panel discuss the strategies and principles used in their work, as well as the challenges they encounter, in designing health information applications that best serve their constituencies.
Toward a general theory of document modeling
Authors: Marc Lauritsen, Thomas F. Gordon
Venue: Proceedings of the 12th International Conference on Artificial Intelligence and Law (2009)

Most legal tasks involve document preparation and review. Drafting effective texts is central to lawyering, judging, legislating, and regulating. How best to support that work with intelligent tools is an ancient topic in AI-and-Law research. For those tools to work, they must have good quality knowledge content to work with. Many alternative theories and techniques for modeling documents have been developed for particular kinds of situations. This article sketches a basic general theory of legal document modeling, with a focus on the key role of argumentation.
Plenary lecture VI: outliers in bilinear time series model
Authors: Azami Zaharim
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

Ruberti et al. [1972] and Mohler [1973] initiated the idea of bilinear models with applications on control theory. A real in-depth statistical study was started by Granger and Anderson [1978a]. They presented various types of bilinear models and discussed the invertibility and stationarity properties of the models. They also showed that bilinear model performs well compared to linear model when applied to the Wolfer sunspot data and the IBM daily common stock closing prices as available in Box and Jenkins [1976]. Another interesting feature of bilinear model is the fact that it is merely an extension of the linear ARMA model as well as being a simplified case of nonlinear Volterra series expansions (Weiner [1958]). Most discussion on detection of outliers is for the linear case. As for bilinear model, only Chen [1996] and Zaharim [1996] had explored the area. Chen used the Gibbs sampling method for general bilinear model but only considered one type of outlier only, the additive outlier. On the other hand, Zaharim used the least squares method for simple bilinear model to detect four type of outliers, the additive outlier (AO), innovational outlier (IO), temporary change (TC) and level change (LC). In this article, work by Zaharim [1996] is extended for BL(1,1,1,1). It is shown that the detection procedure performs well in detecting each type of outlier.
Emerging Nanotechnologies: Test, Defect Tolerance, and Reliability, 1st edition
Authors: Mohammad Tehranipoor, Mohammad Tehranipoor
Venue: Frontiers In Electronic Testing (2007)

Emerging Nanotechnologies: Test, Defect Tolerance and Reliability covers various technologies that have been developing over the last decades such as chemically assembled electronic nanotechnology, Quantum-dot Cellular Automata (QCA), and nanowires and carbon nanotubes. Each of these technologies offers various advantages and disadvantages. Some suffer from high power, some work in very low temperatures and some others need indeterministic bottom-up assembly. These emerging technologies are not considered as a direct replacement for CMOS technology and may require a completely new architecture to achieve their functionality. Emerging Nanotechnologies: Test, Defect Tolerance and Reliability brings all of these issues together in one place for readers and researchers who are interested in this rapidly changing field.
Direct Policy Search Reinforcement Learning for Robot Control
Authors: Andres El-Fakdi, Marc Carreras, Narcís Palomeras
Venue: Proceeding of the 2005 conference on Artificial Intelligence Research and Development (2005)

In this paper, we present Policy Methods as an alternative to Value Methods to solve Reinforcement Learning problems. The paper proposes a Direct Policy Search algorithm that uses a Neural Network to represent the control policies. Details about the algorithm and the update rules are given. The main application of the proposed algorithm is to implement robot control systems, in which the generalization problem usually arises. In this paper, we point out the suitability of our algorithm in a RL benchmark, that was specially designed to test the generalization capability of RL algorithms. Results check out that policy methods obtain better results than value methods in these situations.
Kernels on linguistic structures for answer extraction
Authors: Alessandro Moschitti, Silvia Quarteroni
Venue: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies: Short Papers (2008)

Natural Language Processing (NLP) for Information Retrieval has always been an interesting and challenging research area. Despite the high expectations, most of the results indicate that successfully using NLP is very complex. In this paper, we show how Support Vector Machines along with kernel functions can effectively represent syntax and semantics. Our experiments on question/answer classification show that the above models highly improve on bag-of-words on a TREC dataset.
Photos That Inspire: Photo Workshop
Authors: Lynne Eodice
Venue:  (2007)

This unique book is packed with more than 200 magnificent photos, each expressing the photographers unique take on a scene or subject. With each image, the artist shares a description of the setting, what inspired the idea, and what the photo was intended to accomplish, along with the technical details camera and lens used, shutter speed, aperture, and lighting. Stimulate your creativity with these breathtaking landscapes, incredible action shots, heartwarming portraits of people and pets, intriguing close-ups, and more. 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
Bas-Relief Generation Using Adaptive Histogram Equalization
Authors: Xianfang Sun, Paul L. Rosin, Ralph R. Martin, Frank C. Langbein
Venue: IEEE Transactions on Visualization and Computer Graphics (2009)

An algorithm is presented to automatically generate bas-reliefs based on adaptive histogram equalization (AHE), starting from an input height field. A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is regularly gridded and treated as an image, enabling a modified AHE method to be used to generate a bas-relief with a user-chosen height range. We modify the original image-contrast-enhancement AHE method to use gradient weights also to enhance the shape features of the bas-relief. To effectively compress the height field, we limit the height-dependent scaling factors used to compute relative height variations in the output from height variations in the input; this prevents any height differences from having too great effect. Results of AHE over different neighborhood sizes are averaged to preserve information at different scales in the resulting bas-relief. Compared to previous approaches, the proposed algorithm is simple and yet largely preserves original shape features. Experiments show that our results are, in general, comparable to and in some cases better than the best previously published methods.
Electrical equivalent circuit of ceramic insulators with RTV silicone rubber coating and computer simulation of leakage currents
Authors: Suwarno Suwarno, Fari Pratomosiwi
Venue: WSEAS Transactions on Circuits and Systems (2009)

During operation, high voltage insulators may severe a certain degree of pollution which may reduce their performances. RTV silicone rubber coating was proposed to improve the performances of outdoor ceramic insulators especially in highly polluted areas. This paper reports experimental results on the leakage current (LC) on RTV silicone rubber-coated ceramic insulators. The samples used were 20 kV post-pin ceramic insulators. The samples were coated by RTV silicone rubber from Dow Corning. There were 2 kinds of samples. The first one is clean and the second one is kaolin-salt polluted. The sample was put in a climate chamber under certain condition of fog. AC voltage of 50 Hz was applied to the sample and the leakage current flowed on the insulator surface was measured by measuring the voltage across a series resistance using a Digital Oscilloscope with sampling rate of 1 GS/s. The digital data was transferred to a personal computer trough a GPIB for further analysis. The experimental results showed that LC waveforms of RTV-coated insulators in general are distorted from sinusoidal applied voltage. The LC waveforms are symmetrical for positive and negative half cycles and no flashover was observed for applied voltage up to 60 kV. The THD as well as magnitude of the LC increased with applied voltage for both clean and kaolin-salt polluted samples. From the experimental results, electrical equivalent circuit models are proposed. Using the proposed model computer simulation of leakage current waveforms was done using APT/EMTP under various conditions and applied voltages. The simulation was done by choosing appropriate values of capacitances, non linearity and arc models. The simulated LC waveforms were compared to those obtained from experiment. The similarity of the LC waveforms was determined by comparing the LC magnitude, THD, dominant harmonic components and symmetry. The results indicated that simulated leakage current waveforms were similar to those obtained from experiment. These revealed the validity of the proposed model.
What Can Formal Concept Analysis Do for Data Warehouses?
Authors: Rokia Missaoui, Léonard Kwuida
Venue: Proceedings of the 7th International Conference on Formal Concept Analysis (2009)

Formal concept analysis (FCA) has been successfully used in several Computer Science fields such as databases, software engineering, and information retrieval, and in many domains like medicine, psychology, linguistics and ecology. In data warehouses, users exploit data hypercubes (i.e., multi-way tables) mainly through online analytical processing (OLAP) techniques to extract useful information from data for decision support purposes.Many topics have attracted researchers in the area of data warehousing: data warehouse design and multidimensional modeling, efficient cube materialization (pre-computation), physical data organization, query optimization and approximation, discovery-driven data exploration as well as cube compression and mining. Recently, there has been an increasing interest to apply or adapt data mining approaches and advanced statistical analysis techniques for extracting knowledge (e.g., outliers, clusters, rules, closed n-sets) from multidimensional data. Such approaches or techniques cover (but are not limited to) FCA, cluster analysis, principal component analysis, log-linear modeling, and non-negative multi-way array factorization. Since data cubes are generally large and highly dimensional, and since cells contain consolidated (e.g., mean value), multidimensional and temporal data, such facts lead to challenging research issues in mining data cubes. In this presentation, we will give an overview of related work and show how FCA theory (with possible extensions) can be used to extract valuable and actionable knowledge from data warehouses.
Application of thewavelet transform to quantify the organization in paroxysmal and persistent atrial fibrillation
Authors: Raquel Cervigon, Cesar Sanchez, Jose Millet
Venue: Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science (2009)

Recently the spatiotemporal organization has been demonstrated in atrial fibrillation (AF), identifying localized sites of high-frequency activity during AF in humans with different distribution in paroxysmal and persistent AF. In this study bipolar intra-atrial registers from 28 patients (14 paroxysmal AF, and 14 persistent AF) were analyzed in order to find out regional differences in the organization in both types of arrhythmias. The wavelet variance decomposes the variance of a time series on a scale by scale basis and hence has considerable appeal when physical phenomena are analyzed in terms of variations operating over a range of different scales. The proposed methodology provides an additional approach to the understanding of the arrhythmia. The findings highlight a small relation between atrial waves in patients with persistent AF, and a higher organization along the atria in the paroxysmal group.
Plenary lecture 2: on the control theory of the Sylvester differential and difference systems
Authors: Yan Wu
Venue: Proceedings of the 9th WSEAS international conference on Robotics, control and manufacturing technology (2009)

Sylvester equations play an important role in many areas of applied mathematics and specifically in control systems theory. In this talk, we focus on the controllability and absorbability studies on the Sylvester differential system in the following general form T'(t)=A(t)T(t)B(t) + C(t)T(t)D(t) + E(t)U(t) and its discrete analogue. The closed form solutions of the matrix differential and difference systems and their implications to the control systems are discussed over the cases when the systems are time-variant and time-invariant. Some open problems are discussed at the conclusion of the talk.