ppxscal/embedding_network huggingface dataset:
Deformation and fracturing using adaptive shape matching with stiffness adjustment
Authors: Makoto Ohta, Yoshihiro Kanamori, Tomoyuki Nishita
Venue: Computer Animation and Virtual Worlds (2009)

This paper presents a fast method that computes deformations with fracturing of an object using a hierarchical lattice. Our method allows numerically stable computation based on so-called shape matching. During the simulation, the deformed shape of the object and the condition of fracturing are used to determine the appropriate detail level in the hierarchy of the lattices. Our method modifies the computation of the stiffness of the object in different levels of the hierarchy so that the stiffness is maintained uniform by introducing a stiffness parameter that does not depend on the hierarchy. By merging the subdivided lattices, our method minimizes the increase of computational cost. Copyright &copy; 2009 John Wiley & Sons, Ltd. This paper presents a fast method that computes deformations with fracturing of an object using a hierarchical lattice. The present method employs adaptive shape matching with special care on stiffness control so that it yields deformation results similar to those using a uniform lattice, with lower computational cost. It also reduces the computational cost by merging object parts that are separated off by fracturing.
Achieving Self-Healing in Autonomic Software Systems: a Case-Based Reasoning Approach
Authors: Cosimo Anglano, Stefania Montani
Venue: Proceeding of the 2005 conference on Self-Organization and Autonomic Informatics (I) (2005)

Self-healing, one of the four key properties characterizing Autonomic Systems, can enable large-scale software systems delivering complex services on a 24/7 basis to meet their goals without requiring any human intervention. In this paper we present a self-healing methodology for software systems based on Case-Based Reasoning, a reasoning paradigm that exploits the unformalized knowledge embedded into already solved instances of problems, able to take advantage from the fact that in software systems most errors are just re-occurrences of known problems. We demonstrate the practical applicability of our methodology by showing how it can be used to obtain a self-healing software system delivering large-scale Internet services.
From the Editors...
Authors: L. Robin Keller, Kelly M. Kophazi
Venue: Decision Analysis (2009)

This issue's “From the Editors...” column is coauthored with Managing Editor Kelly Kophazi. In addition to introducing our articles, we report here on the past year from the perspective of the editorial office. The authors of the first three articles conducted laboratory experiments to examine decision behavior in financial investment decisions, bidding in auctions, and inventory ordering decisions. First, Dennis Vrecko, Alexander Klos, and Thomas Langer report on the “Impact of Presentation Format and Self-Reported Risk Aversion on Revealed Skewness Preferences.” Our second article is “A Direct Test of Risk Aversion and Regret in First Price Sealed-Bid Auctions,” by Richard Engelbrecht-Wiggans and Elena Katok. The third article, by Srinagesh Gavirneni and Yusen Xia, is on “Anchor Selection and Group Dynamics in Newsvendor Decisions---A Note.” Our final article, describing the application of decision analysis for an Italian waste processing decision, is “Resource-Limited Multiattribute Value Analysis of Alternatives for Immobilizing Radioactive Liquid Process Waste Stored in Saluggia, Italy,” by Alan J. Brothers, Shas V. Mattigod, Denis M. Strachan, Gordon H. Beeman, Paul K. Kearns, Angelo Papa, and Carlo Monti.
Complex Dynamics: Advanced System Dynamics in Complex Variables, 1st edition
Authors: Vladimir G. Ivancevic, Tijana T. Ivancevic
Venue: Intelligent Systems, Control And Automation: Science And Engineering (2007)

Complex Dynamics: Advanced System Dynamics in Complex Variables is a graduate-level monographic textbook. It has seven Chapters. The introductory Chapter 1 explains in plain English the objective of the book and provides the preliminaries in complex numbers and variables; it also gives a soft introduction to quantum dynamics. Chapter 2 develops low-dimensional dynamics in the complex plane, theoretical and computational, continuous- and discrete-time. Chapter 3 presents a modern introduction to quantum dynamics, mainly following Dirac's notation. Chapter 4 develops geometrical machinery of complex manifolds, essential for the further text. Chapter 5 develops high-dimensional complex continuous dynamics, which takes place on complex manifolds. Chapter 6 develops the formalism of complex path integrals, which extends the continuous dynamics to the general high-dimensional dynamics, which can be both discrete and stochastic. In the last, Chapter 7, all previously developed methods are employed to present the Holy Grail of modern physical and cosmological science, the search for the theory of everything and the true cosmological dynamics.
Fuzzy investment analysis methods and techniques
Authors: Ioan-Gheorghe Ratiu, Claudia-Georgeta Carstea, Marian Pearsica, Neculai Patrascu, Nicoleta David, Dana Damian, Lucian Patrascu
Venue: Proceedings of the 10th WSEAS international conference on Mathematical methods, computational techniques and intelligent systems (2008)

In an uncertain economic decision environment, an expert's knowledge about discounting cash flows consist of a lot of vagueness instead of randomness. Cash amounts and interest rates are usually estimated by using educated guesses based on expected values or other statistical techniques to obtain them. Fuzzy numbers can capture the difficulties in estimating these parameters. In this paper are developed the formulas for the analysis of fuzzy present value, fuzzy equivalent uniform annual value, fuzzy future value, fuzzy benefit-cost ratio, and fuzzy payback period. Each sum that may be invested represents a distinct level of investment, and the investment therefore has multiple levels.
An Application of Social Network Analysis in Evaluation of CSCL
Authors: Yonggu Wang, Kedong Li
Venue: Proceeding of the 2006 conference on Learning by Effective Utilization of Technologies: Facilitating Intercultural Understanding (2006)

It is a new direction in the research of CSCL to evaluate the process of knowledge building by social network analysis. This paper introduces the history, definition and roles of Social network analysis, and explains the methods to evaluate the process of knowledge building in CSCL by measures of social network analysis.
Efficient, non-stiff, and multiscale methods for complex fluids
Authors: Hector Ceniceros
Venue:  (2008)

Multi-component fluids comprise a rich and interesting branch of fluid dynamics and complex patterns are often formed by the fluid components. In order to accurately capture the physics of such systems, multiscale modeling and computational methods are often required. In this thesis we focus in two areas of the computation and simulation of complex fluids: Phase separating fluids in the presence of thermal fluctuations and Coupled flow-polymer dynamics. First we present an easy to implement drift splitting numerical method for the approximation of stiff, nonlinear stochastic differential equations. The method is an adaptation of the SBDF multi-step method and allows for a semi-implicit discretization of the drift term to remove high order stability constraints associated with explicit methods. For problems with small noise, of amplitude &epsi;, we prove that the method converges strongly with order O(&Delta;t2 + &epsi;&Delta;t + &epsi;2&Delta;t1/2) and thus exhibits second order accuracy when the time-step is chosen to be on the order of &epsi; or larger. We document the performance of the scheme with numerical examples and also present as an application a discretization of the Stochastic Cahn-Hilliard Equation that removes the high order stability constraints for explicit methods. Next we consider the modeling and simulation of polymer-flow dynamic interactions within a field-theoretic framework. Field theoretic models have been used successfully to investigate a wide range of polymer formulations at equilibrium, though they often fail to accurately capture the non-equilibrium behavior of polymers. Here the "two-fluid" approach serves as a useful alternative, treating the motions of fluid components separately in order to incorporate asymmetries between polymer molecules. In this work we focus on the connection of these two theories, drawing upon the strengths of each in order to couple polymer microstructure with the dynamics of the flow in a systematic way. We derive a model for an inhomogeneous melt of elastic dumbbell polymers, incorporating thermodynamic forces into a two-fluid model for the flow via field theory, and develop a corresponding efficient numerical methodology for the resulting system of equations. We illustrate the methodology with several examples of phase separation in an initially quiescent flow.
Finite difference computation of acoustic scattering by small surface inhomogeneities and discontinuities
Authors: Christopher K. W. Tam, Hongbin Ju
Venue: Journal of Computational Physics (2009)

The use of finite difference schemes to compute the scattering of acoustic waves by surfaces made up of different materials with sharp surface discontinuities at the joints would, invariably, result in the generations of spurious reflected waves of numerical origin. Spurious scattered waves are produced even if a high-order scheme capable of resolving and supporting the propagation of the incident wave is used. This problem is of practical importance in jet engine duct acoustic computation. In this work, the basic reason for the generation of spurious numerical waves is first examined. It is known that when the governing partial differential equations of acoustics are discretized, one should only use the long waves of the computational scheme to represent or simulate the physical waves. The short waves of the computational scheme have entirely different propagation characteristics. They are the spurious numerical waves. A method by which high wave number components (short waves) in the wave scattering process is intentionally removed so as to minimize the scattering of spurious numerical waves is proposed. This method is implemented in several examples from computational aeroacoustics to illustrate its effectiveness, accuracy and efficiency. This method is also employed to compute the scattering of acoustic waves by scatterers, such as rigid wall acoustic liner splices, with width smaller than the computational mesh size. Good results are obtained when comparing with computed results using much smaller mesh size. The method is further extended for applications to computations of acoustic wave reflection and scattering by very small surface inhomogeneities with simple geometries.
Developing Effective Corporate Performance Management Systems: A Design-Science Investigation
Authors: Rattanan Nantiyakul, Rob Meredith
Venue: Proceeding of the 2008 conference on Collaborative Decision Making: Perspectives and Challenges (2008)

Corporate Performance Management (CPM) has been recognised as having an important role to play in the effective management of organisations. However, a number of researchers have identified that developing IT support for CPM systems can be difficult. Developers need methods and tools to guide CPM system development. Using a design-science approach, this paper describes the use of a CPM systems development method, RED-CPM, and a CPM systems development environment, Performatica, at a large manufacturing company.
Syntactic foundations for unawareness of theorems
Authors: Spyros Galanis
Venue: Proceedings of the 12th Conference on Theoretical Aspects of Rationality and Knowledge (2009)

We provide a complete and sound ax-iomatization of the set-theoretic model of Galanis [2007]. By constructing a syntax with several knowledge modalities, one for each sub-language, we are able to allow for agents to make mistakes about the knowledge of others without discarding the truth axiom. Comparing the present axiom system with that of Heifetz et al. [2008a] we find that neither is a generalization of the other.
Palmprint Recognition Based on Regional Rank Correlation of Directional Features
Authors: Yufei Han, Zhenan Sun, Tieniu Tan, Ying Hao
Venue: Proceedings of the Third International Conference on Advances in Biometrics (2009)

Automatic personal identification based on palmprints has been considered as a promising technology in biometrics family during recent years. In pursuit of accurate palmprint recognition approaches, it is a key issue to design proper image representation to describe skin textures in palm regions. According to previous achievements, directional texture measurement provides a powerful tool for depicting palmprint appearances. Most of successful approaches can be ranged into this framework. Following this idea, we propose a novel palmprint representation in this paper, which describes palmprint images by constructing rank correlation statistics of appearance patterns within local image areas. Promising experimental results on two large scale palmprint databases demonstrate that the proposed method achieves even better performances than the state-of-the-art approaches.
Russell's Structuralism and the Supposed Death of Computational Cognitive Science
Authors: Ricardo Restrepo Echavarria
Venue: Minds and Machines (2009)

John Searle believes that computational properties are purely formal and that consequently, computational properties are not intrinsic, empirically discoverable, nor causal; and therefore, that an entity's having certain computational properties could not be sufficient for its having certain mental properties. To make his case, Searle's employs an argument that had been used before him by Max Newman, against Russell's structuralism; one that Russell himself considered fatal to his own position. This paper formulates a not-so-explored version of Searle's problem with computational cognitive science, and refutes it by suggesting how our understanding of computation is far from implying the structuralism Searle vitally attributes to it. On the way, I formulate and argue for a thesis that strengthens Newman's case against Russell's structuralism, and thus raises the apparent risk for computational cognitive science too.
Testing Significance in Bayesian Classifiers
Authors: Marcelo de S. Lauretto, Julio M. Stern
Venue: Proceeding of the 2005 conference on Advances in Logic Based Intelligent Systems: Selected Papers of LAPTEC 2005 (2005)

The Fully Bayesian Significance Test (FBST) is a coherent Bayesian significance test for sharp hypotheses. This paper explores the FBST as a model selection tool for general mixture models, and gives some computational experiments for Multinomial-Dirichlet-Normal-Wishart models.
Adaptive System for the Integration of Recommendation Methods with Social Filtering Enhancement
Authors: Przemysław Kazienko, Paweł Kołodziejski
Venue: Proceeding of the 2008 conference on New Trends in Multimedia and Network Information Systems (2008)

We try to find the new application for recommender systems: online social networks. The innovative system for personalized and adaptive integration of recommendation methods is presented. The unique idea of the social filtering for network members is introduced and incorporated into recommender system.
Renewable energy for domestic electricity production and prediction of short-time electric consumption
Authors: Stéphane Grieu, Frédérik Thiery, Adama Traoré, Monique Polit
Venue: Proceeding of the 2007 conference on Artificial Intelligence Research and Development (2007)

Modern interest in renewable energy development is linked to concerns about exhaustion of fossil fuels and environmental, social and political risks of extensive use of fossil fuels and nuclear energy. It is a form of energy development with a focus on renewable energy. In this sense, the present work takes part in a global study of solar energy and wind power for generating electricity. This paper is focused, by means of time series analysis and Kohonen self organizing maps, on predicting short-time electric consumption for a family of four people living in the south of France (Perpignan city). A cost study for the installation at the family's house of photovoltaic solar cells and/or windmills for generating electricity was also carried out. Lastly, the produced electricity cost was compared with the price of electricity sold by the French national company Electricité de France (EDF).
FO(ID) as an Extension of DL with Rules
Authors: Joost Vennekens, Marc Denecker
Venue: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (2009)

There are many interesting Knowledge Representation questions surrounding rule languages for the Semantic Web. The most basic one is of course: which kind of rules should be used and how do they integrate with existing Description Logics? Similar questions have already been addressed in the field of Logic Programming, where one particular answer has been provided by the language of FO(ID). FO(ID) is an extension of first-order logic with a rule-based representation for inductive definitions. By offering a general integration of first-order logic and Logic Programs, it also induces a particular way of extending Description Logics with rules. The goal of this paper is to investigate this integration and discover whether there are interesting extensions of DL with rules that can be arrived at by imposing appropriate restrictions on the highly expressive FO(ID).
Spatiotemporal filtering of sequences of ultrasound images to estimate a dense field of velocities
Authors: Adrien Marion, Didier Vray
Venue: Pattern Recognition (2009)

Blood velocity estimation is required in many clinical applications. Ultrasonic imaging is often used to reach this goal. This article presents a velocity vector estimation method from ultrasonic imaging. It complements Doppler imaging, which has several limitations. New techniques such as block-matching (BM) and decorrelation-based methods have already been developed to overcome these limitations. Our method is based on spatiotemporal filtering to estimate the apparent velocity vector for each pixel of the sequence of ultrasound images. A moving object is represented by a group of pixels travelling from image to image in the sequence, leaving a trace in the spatiotemporal volume. A bank of filters was designed to estimate a local texture orientation related to the velocity of the object. The method was first developed in 2D then extended in 3D to estimate the two components in the imaging plane. The method was applied to sequences of ultrasound images of calibrated flow in a vessel (mean velocity
Synchronisation of Lorenz systems via combining drive and Delayed Feedback Control methods
Authors: Li-lan Tu, Shui-fang Yin, Jia Hu
Venue: International Journal of Systems, Control and Communications (2009)

The synchronisation problem of Lorenz system is further investigated in this paper. On the basis of the Lyapunov stability theory, some simple and useful criteria for synchronisation to be delay-independent asymptotically stable are presented via combining drive and Delayed Feedback Control (DFC) methods. Especially, only one controller is needed to obtain synchronisation asymptotically. Theoretical analysis and numerical simulations show the effectiveness and feasibility of the proposed schemes.
Evolutionary Artificial Neural Network Design and Training for wood veneer classification
Authors: Marco Castellani, Hefin Rowlands
Venue: Engineering Applications of Artificial Intelligence (2009)

This study addresses the design and the training of a Multi-Layer Perceptron classifier for identification of wood veneer defects from statistical features of wood sub-images. Previous research utilised a neural network structure manually optimised using the Taguchi method with the connection weights trained using the Backpropagation rule. The proposed approach uses the evolutionary Artificial Neural Network Generation and Training (ANNGaT) algorithm to generate the neural network system. The algorithm evolves simultaneously the neural network topology and the weights. ANNGaT optimises the size of the hidden layer(s) of the neural network structure through genetic mutations of the individuals. The number of hidden layers is a system parameter. Experimental tests show that ANNGaT produces highly compact neural network structures capable of accurate and robust learning. The tests show no differences in accuracy between neural network architectures using one and two hidden layers of processing units. Compared to the manual approach, the evolutionary algorithm generates equally performing solutions using considerably smaller architectures. Moreover, the proposed algorithm requires a lower design effort since the process is fully automated.
A language independent approach for name categorization and discrimination
Authors: Zornitsa Kozareva, Sonia Vázquez, Andrés Montoyo
Venue: Proceedings of the Workshop on Balto-Slavonic Natural Language Processing: Information Extraction and Enabling Technologies (2007)

We present a language independent approach for fine-grained categorization and discrimination of names on the basis of text semantic similarity information. The experiments are conducted for languages from the Romance (Spanish) and Slavonic (Bulgarian) language groups. Despite the fact that these languages have specific characteristics as word-order and grammar, the obtained results are encouraging and show that our name entity method is scalable not only to different categories, but also to different languages. In an exhaustive experimental evaluation, we have demonstrated that our approach yields better results compared to a baseline system.
Nanostructured optical fibre obtained by the sol-gel process
Authors: Brasse Gurvan, Restoin Christine, Auguste Jean-Louis, Roy Philippe, Leparmentier Stéphanie, Blondy Jean-Marc
Venue: Proceedings of the 1st WSEAS international conference on Nanotechnology (2009)

This paper presents an original nanostructured optical fibre obtained by the sol-gel process. The studied fibre is composed with zirconia nanocrystals dispersed inside an amorphous silica matrix as core surrounded by a pure silica cladding. The conception and the elaboration of the fibre are described, as well as its structural and optical characterization. The introduction of ytterbium ions in the core composition is also investigated and the luminescence properties of the fibre are exposed and discussed.