ppxscal/embedding_network huggingface dataset:
FPGA implementation of Radix-22pipelined FFT processor
Authors: Ahmed Saeed, M. Elbably, G. Abdelfadeel, M. I. Eladawy
Venue: Proceedings of the 3rd WSEAS international symposium on Wavelets theory and applications in applied mathematics, signal processing & modern science (2009)

The Fast Fourier Transform (FFT) is very important algorithm in signal processing, software-defined radio, and wireless communication. This paper explains the realization of radix-22 single-path delay feedback pipelined FFT processor. This architecture has the same multiplicative complexity as radix-4 algorithm, but retains the simple butterfly structure of radix-2 algorithm. The implementation was made on a Field Programmable Gate Array (FPGA) because it can achieve higher computing speed than digital signal processors (DSPs), and also can achieve cost effectively ASIC-like performance with lower development time, and risks. The processor has been developed using hardware description language VHDL and simulated up to 465 MHz on an Xilinx xc5vsx35t for transformation length 256-point.
Error estimates of the finite volume scheme for the nonlinear tensor-driven anisotropic diffusion
Authors: Olga Drblíková, Angela Handlovičová, Karol Mikula
Venue: Applied Numerical Mathematics (2009)

The paper deals with an error analysis of the semi-implicit diamond-cell finite volume scheme, introduced in [O. Drblikova, K. Mikula, Convergence analysis of finite volume scheme for nonlinear tensor anisotropic diffusion in image processing, SIAM J. Numer. Anal. 46 (1) (2007) 37-60], for solving the nonlinear tensor-driven anisotropic diffusion. First we present the finite volume scheme and its basic properties. Then the error estimate analysis is presented, where the piecewise constant approximation given by the finite volume scheme is compared with the weak solution to the problem. We proved that the error of the approximate solution in L^2-norm is of order h, where h is a spatial resolution step under the natural relation k~h^2, where k is a time discretization step. The numerical results devoted to image processing applications are also given.
Grid Enabled Virtual Storage System Using Service Oriented Architecture
Authors: Łukasz Skitał, Renata Słota, Darin Nikolov, Jacek Kitowski
Venue: Proceeding of the 2005 conference on Software Engineering: Evolution and Emerging Technologies (2005)

Emerging of the web services technology gives Service Oriented Architecture a new practical meaning. The architecture allows developing of complex, distributed systems in a multi-platform environment. Recent Grid projects take an advantage of this architecture, as it is applicable to systems developed by a number of different institutes, computing centers and companies. One of the important aspects of the Grid projects is data management, which is the subject of our study. In this paper we present our experience from designing and implementing Virtual Storage System in Service Oriented Architecture.
Find Gold in Windows Vista
Authors: Dan Gookin
Venue:  (2007)

Windows Vista represents a major improvement to Windows--one that's been long in coming. Because of that, many readers will be experienced Windows users who have grown accustomed to doing things a certain way. The new version of Windows will present a challenge to them. This book is for that reader. Getting up to speed on a new version of Windows is a frustrating game called "Where have they buried the bodies?" People know what they want to do; they just don't know the new places to find what they need and the new steps involved to accomplish the task. Find Gold in Windows Vista shows readers the new places and the new steps in the new Windows. This book is different because computer users who already know Windows but are merely concerned with finding where the bodies are buried can use it to find quickly the exact information they need. While experienced readers can enjoy this book's topical and to-the-point approach, beginners and those intimidated by computers will enjoy the tutorial aspect. This is the "Ask Dan" flavor of the book, where Dan explains in his usual, avuncular style how to do things for folks who are intimidated or perhaps just don't know a better way to get things done. 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
A POMDP framework for coordinated guidance of autonomous UAVs for multitarget tracking
Authors: Scott A. Miller, Zachary A. Harris, Edwin K. P. Chong
Venue: EURASIP Journal on Advances in Signal Processing (2009)

This paper discusses the application of the theory of partially observable Markov decision processes (POMDPs) to the design of guidance algorithms for controlling the motion of unmanned aerial vehicles (UAVs) with onboard sensors to improve tracking of multiple ground targets. While POMDP problems are intractable to solve exactly, principled approximation methods can be devised based on the theory that characterizes optimal solutions. A new approximation method called nominal belief-state optimization (NBO), combined with other application-specific approximations and techniques within the POMDP framework, produces a practical design that coordinates the UAVs to achieve good long-term mean-squared-error tracking performance in the presence of occlusions and dynamic constraints. The flexibility of the design is demonstrated by extending the objective to reduce the probability of a track swap in ambiguous situations.
Modular argumentation for modelling legal doctrines of performance relief
Authors: Phan Minh Dung, Phan Minh Thang, Nguyen Duy Hung
Venue: Proceedings of the 12th International Conference on Artificial Intelligence and Law (2009)

Legal doctrines provide principles, guidelines and rules for dispute resolution in reasoning with cases. To apply legal doctrines, the context of a contract consisting of different knowledge bases about beliefs and expertise of contract parties as well as about common social, legal domains need to be established. Judges then decide legal outcomes by reasoning from factors drawn in contract contexts following legal doctrines. In this paper, we model this decision making by modular argumentation. We focus on legal doctrines in contract law, especially the doctrines of impossibility and frustration of purpose.
Analogies in melodies of early Christian liturgical chant originating from different cultural domains
Authors: Eugene Kindler
Venue: Proceedings of the 10th WSEAS international conference on Acoustics & music: theory & applications (2009)

The paper is oriented to a description of analogies existing in melodies of early liturgical chants originated in different geographical and language arrays, namely in Latin, Greek, Armenian and Old Church Slavonic. Under the term early liturgical chant, homophonic chant in free rhythm is considered, i.e. chant originated in the first millennium.
A framework for the development of traffic control systems
Authors: Raja Sengupta
Venue:  (2008)

Current traffic controllers are programmed only to run a predefined set of control algorithms. Additionally, controllers offer limited interoperability and incremental updates are infeasible. Thus, updates require the cost of both new hardware, and porting the existing software to the new system. One would like to upgrade the controllers without worrying about interoperability, scalability, and safety issues due to faulty implementations. It would be also beneficial to enable researchers to directly implement new research ideas and algorithms on the controllers without any low level programming skills. Unfortunately this is not possible using current systems. The tools for the development of traffic control systems (TTCS) framework is an attempt to address all these problems. It is a framework for the development of cross-platform adaptive control code, able to run over different controllers without any porting or hardware cost. The framework is extremely easy to use, ensures the code is able to automatically adjust to changes (e.g. introduction of new sensors, intersections or hardware failures), supports scalability, and ensures safety - preventing bugs that would put the end users (drivers and pedestrians) in dangerous situations.
Probabilistic Latent Semantic Analysis for Search and Mining of Corporate Blogs
Authors: Flora S. Tsai, Yun Chen, Kap Luk Chan
Venue: Proceeding of the 2008 conference on Applications of Data Mining in E-Business and Finance (2008)

Blogs, or weblogs, have rapidly gained in popularity over the past decade. Because of the huge volume of existing blog posts, information in the blogosphere is difficult to access and retrieve. Existing studies have focused on analyzing personal blogs, but few have looked at corporate blogs, the numbers of which are dramatically rising. In this paper, we use probabilistic latent semantic analysis to detect keywords from corporate blogs with respect to certain topics. We then demonstrate how this method can represent the blogosphere in terms of topics with measurable keywords, hence tracking popular conversations and topics in the blogosphere. By applying a probabilistic approach, we can improve information retrieval in blog search and keywords detection, and provide an analytical foundation for the future of corporate blog search and mining.
Rezoning techniques for arbitrary Lagrangian-Eulerian computations
Authors: Aaron Diaz
Venue: Proceedings of the 4th WSEAS/IASME international conference on Dynamical systems and control (2008)

We describe two strategies for mesh regularization based on a mesh rezone map determined via minimization of a suitably chosen energy functional. The first is a monitor function construction nearly concentrated at a flow feature of interest, such as a shock wave front or contact surface, in order to resolve that feature with greater accuracy. The second is an implementation of adaptive mesh rezoning as constrained minimization. This approach facilitates implementation of mesh directional control without compromising mesh adaptivity.
The roles of tool and human mediatorsin Web-based course of self-regulation
Authors: Raija Latva-Karjanmaa
Venue: Proceeding of the 2008 conference on Knowledge-Based Software Engineering: Proceedings of the Eighth Joint Conference on Knowledge-Based Software Engineering (2008)

The study focused on identifying the roles of tool and human mediator on a web-based course of developing better learning skills, i.e. self-regulative skills. Mediators act as supporters of the learning process. The assumption is that in virtual environments mediators can have particular roles, which are different from a face-to-face learning situation. Online tool mediators can support the student's learning skills, which has been proved earlier and again in this study. In addition to this the mediators can build awareness of possibilities to develop as learners, mediate a feeling of personal space, freedom and integrity. and also act as a mediators of guidance, support and control.
Semantic classification of noun phrases using web counts and learning algorithms
Authors: Paul Nulty
Venue: Proceedings of the 45th Annual Meeting of the ACL: Student Research Workshop (2007)

This paper investigates the use of machine learning algorithms to label modifier-noun compounds with a semantic relation. The attributes used as input to the learning algorithms are the web frequencies for phrases containing the modifier, noun, and a prepositional joining term. We compare and evaluate different algorithms and different joining phrases on Nastase and Szpakowicz's (2003) dataset of 600 modifier-noun compounds. We find that by using a Support Vector Machine classifier we can obtain better performance on this dataset than a current state-of-the-art system; even with a relatively small set of prepositional joining terms.
Assessment of mechanical component stress using wavelet transform applied to infrared thermography
Authors: Niola Vincenzo, Quaremba Giuseppe, Amoresano Amedeo
Venue: Proceedings of the 7th WSEAS international conference on System science and simulation in engineering (2008)

The analysis of maintenance in industrial field is a very important problem in order to avoid risks and to avoid the stop of the machine. In this paper it is pointed out a procedure that permits to evaluate in advance which kind of fault can happen on a general machine. The infrared thermographic technique and Wavelet Transform working together permit to achieve important results in the predictive failure analysis.
Media Meets Semantic Web --- How the BBC Uses DBpedia and Linked Data to Make Connections
Authors: Georgi Kobilarov, Tom Scott, Yves Raimond, Silver Oliver, Chris Sizemore, Michael Smethurst, Christian Bizer, Robert Lee
Venue: Proceedings of the 6th European Semantic Web Conference on The Semantic Web: Research and Applications (2009)

In this paper, we describe how the BBC is working to integrate data and linking documents across BBC domains by using Semantic Web technology, in particular Linked Data, MusicBrainz and DBpedia. We cover the work of BBC Programmes and BBC Music building Linked Data sites for all music and programmes related brands, and we describe existing projects, ongoing development, and further research we are doing in a joint collaboration between the BBC, Freie Universität Berlin and Rattle Research in order to use DBpedia as the controlled vocabulary and semantic backbone for the whole BBC.
Comparison of Strategies Based on Evolutionary Computation for the Design of Similarity Functions
Authors: A. Fornells Herrera, J. Camps Dausà, E. Golobardes i Ribé, J. M. Garrell i Guiu
Venue: Proceeding of the 2005 conference on Artificial Intelligence Research and Development (2005)

One of the main keys in case-based reasoning system is the retrieval phase, where the most similar cases are retrieved by means of a similarity function. According to the problem, the similarity function must be selected and adapted depending on the characteristics and properties of the problem's domain. The goal of this article is to present a platform called BRAIN, which incorporates strategies based on different evolutionary approaches to design similarity functions ad hoc for a domain to be used in a case-based reasoning system. The strategies are based on Genetic Programming and Grammar Evolution approaches. Both are applied to different data sets to study the influence of their characteristic in the accuracy rate and in the execution time.
Solving Ceramic Tile Factory Production Programming by MAS
Authors: E. Argente, A. Giret, S. Valero, P. Gómez, V. Julian
Venue: Proceeding of the 2005 conference on Artificial Intelligence Research and Development (2005)

This paper presents a system architecture to manage the production programming in a Ceramic Tile factory. The proposed architecture is based on the multi-agent system paradigm since it provides a natural way to solve problems in manufacturing industry domains. The production programming problem is considered as one of the main critical issues in a Ceramic Tile Company because obtaining an agile and reactive production planning and scheduling system is essential in manufacturing. The paper describes the proposed agent organization and the different needed scenarios and interactions in detail.
Nonlinear Component Analysis for Large-Scale Data Set Using Fixed-Point Algorithm
Authors: Weiya Shi, Yue-Fei Guo
Venue: Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III (2009)

Nonlinear component analysis is a popular nonlinear feature extraction method. It generally uses eigen-decomposition technique to extract the principal components. But the method is infeasible for large-scale data set because of the storage and computational problem. To overcome these disadvantages, an efficient iterative method of computing kernel principal components based on fixed-point algorithm is proposed.The kernel principle components can be iteratively computed without the eigen-decomposition. The space and time complexity of proposed method is reduced to o(m) and o(m 2), respectively, where m is the number of samples. More important, it still can be used even if traditional eigen-decomposition technique cannot be applied when faced with the extremely large-scale data set. The effectiveness of proposed method is validated from experimental results.
Ontology based Text Annotation --OnTeA
Authors: Michal Laclavik, Martin Seleng, Emil Gatial, Zoltan Balogh, Ladislav Hluchy
Venue: Proceeding of the 2007 conference on Information Modelling and Knowledge Bases XVIII (2007)

In this paper we describe a solution for the semi-automatic ontology based text annotation (OnTeA) tool. The tool analyzes a document or text using regular expression patterns and detects equivalent semantics elements according to the defined domain ontology.
Human---Computer input and output techniques: an analysis of current research and promising applications
Authors: Marco Porta
Venue: Artificial Intelligence Review (2007)

Personal computing applications are constantly increasing their potential power, thanks to steadily growing hardware capabilities and large diffusion of high-quality multimedia output devices. At the same time, mobile communication tools are becoming an integral part of our everyday life, with new advanced functionalities offered at an unrestrainable pace. Although the way we interact with information machines is substantially the same since 20 years--based on keyboard, mouse and window metaphor--other communication modalities are possible, and shortly may become popular as additional interaction methods. Given the paramount importance of the "interface" in present computer applications, no alternative should be ignored, as it could greatly improve the quality of both interaction processes and user cognitive performance. Without pretending to foresee the future, in this paper we provide an overview of the main current technologies which can enable potential novel interfaces, discussing their features, strengths, weaknesses and promising applications.
Equality and hashing for (almost) free: Generating implementations from abstraction functions
Authors: Derek Rayside, Zev Benjamin, Rishabh Singh, Joseph P. Near, Aleksandar Milicevic, Daniel Jackson
Venue: Proceedings of the 2009 IEEE 31st International Conference on Software Engineering (2009)

In an object-oriented language such as Java, every class requires implementations of two special methods, one for determining equality and one for computing hash codes. Although the specification of these methods is usually straightforward, they can be hard to code (due to subclassing, delegation, cyclic references, and other factors) and often harbor subtle faults. A technique is presented that simplifies this task. Instead of writing code for the methods, the programmer gives, as a brief annotation, an abstraction function that defines an abstract view of an object's representation, and sometimes an additional observer in the form of an iterator method. Equality and hash codes are then computed in library code that uses reflection to read the annotations. Experiments on a variety of programs suggest that, in comparison to writing the methods by hand, our technique requires less text from the programmer and results in methods that are more often correct.
Canon PowerShot Digital Field Guide
Authors: Michael Guncheon
Venue:  (2007)

With this book and your Canon PowerShot, taking pictures becomes a lot more fun! The Quick Tour gets you familiar with all the settings and menus on your G, S, TX, A, or SD-series camera, so you can start shooting. Then spend some time exploring tips for getting super shots in dozens of situations, using manual settings for greater control, and telling a story with your photos. Finally, learn the best ways to download, edit, and print your pictures. 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
DANCING, Dance ANd Choreography: an Intelligent Nondeterministic Generator
Authors: Mario Nakazawa, Andrea Paezold-Ruehl
Venue: The Fifth Richard Tapia Celebration of Diversity in Computing Conference: Intellect, Initiatives, Insight, and Innovations (2009)

In this paper, we describe our proof of concept system that uses genetic algorithms to generate choreography for the waltz, a ballroom dance. We detail the representation of the dance steps and sequences our system manipulates, and our design of the fitness function to guide the algorithm. Preliminary results show that we have successfully incorporated several rudimentary choreography principles and that our system thus can generate effective waltz sequences. There are many potential areas of future development for our system, such as extending it to generate more sophisticated choreography for a variety of ballroom dances.
Technical Section: Fourier method for large-scale surface modeling and registration
Authors: Li Shen, Sungeun Kim, Andrew J. Saykin
Venue: Computers and Graphics (2009)

Spherical harmonic (SPHARM) description is a powerful Fourier shape modeling method for processing arbitrarily shaped but simply connected 3D objects. As a highly promising method, SPHARM has been widely used in several domains including medical imaging. However, its primary use has been focused on modeling small or moderately sized surfaces that are relatively smooth, due to challenges related to its applicability, robustness and scalability. This paper presents an enhanced SPHARM framework that addresses these issues and show that the use of SPHARM can expand into broader areas. In particular, we present a simple and efficient Fourier expansion method on the sphere that enables large-scale modeling, and propose a new SPHARM registration method that aims to preserve the important homological properties between 3D models. Although SPHARM is a global descriptor, our experimental results show that the proposed SPHARM framework can accurately describe complicated graphics models and highly convoluted 3D surfaces and the proposed registration method allows for effective alignment and registration of these 3D models for further processing or analysis. These methods greatly enable the potential of applying SPHARM to broader areas such as computer graphics, medical imaging, CAD/CAM, bioinformatics, and other related geometric modeling and processing fields.
Series solution of nonlinear dynamic system containing fractional derivative
Authors: A. K. Alomari, M. S. M. Noorani, R. Nazar, M. Darus
Venue: Proceedings of the 13th WSEAS international conference on Applied mathematics (2008)

Series solution of nonlinear dynamic system containing fractional derivative is obtained by the homotopy analysis method (HAM). The solution via HAM has auxiliary parameter h which can control the convergent of the series to obey the exact or numerical solution. The model of viscoelastic behavior of a one-degree-of-freedom oscillator consisting of a discrete mass and a viscoelastic spring is considered to show the efficiency of HAM for this kind of system.
Adventures in Model-based Reasoning
Authors: Chris Price
Venue: Proceeding of the 2006 conference on Rob Milne: A Tribute to a Pioneering AI Scientist, Entrepreneur and Mountaineer (2006)

Model-based reasoning is a practical way of reasoning about real world systems based on the behaviour of the system being modelled. This paper considers the useful characteristics of models for model-based reasoning, discusses the state of industrial adoption of model-based reasoning techniques, with particular reference to a previous study by Travé-Massuyès and Milne of industrial take-up of this technology. Finally, the paper considers the prospects for model-based reasoning over the next twenty years.