Ramón, Hugo Dionisio
There is a need of counting on precise measurements of subjective losses that can be used for predicting the quality of an image. The objective of the present work is to determine these distortion measurements and test the use of different objective measurements in order to forecast an image subjective quality.
Lage, Fernando Javier
The subject matter of this work is focused in the development of an application for team work over a distributed system belonging to an organization.
This choice is based in the organizations need of their members’ continuing formation/training, and of the possibility of using computing resources generally sub-used by them.
Gorga, Gladys; Madoz, María Cristina
This text introduces comprehensively the reader to the distance teaching/learning process.
With this purpose, it presents a model of the Distance Education System to be used for understanding its embedded elements: contents, instructional design, communications, interaction, learning environment, and administration.
This book presents an approach based on Linux operating system, including issues such as kernel per se, units use and construction, different types of them, debugging techniques, as well as time management, interruptions, DMA (direct memory access), different buses and peripherals
Estévez, Elsa Clara; Fillottrani, Pablo Rubén
Guaranteeing that assembled components will behave as required is one of the main aspects in working with Component-Based Development. In this paper we present a formal approach for tackling this problem by applying the concept of bisimulation, originally presented in the study of concurrency theory. Bisimulation allows us to abstract details that are irrelevant from the behavioral point of view, such as data representations and implementation structures, providing a powerful formalism for proving software correctness properties. Thus, our approach facilitates to demonstrate the behavioral equivalence between the integrated system and the required specification. We introduce these concepts with the help...
Roldán, María Carina; Naiouf, Marcelo; De Giusti, Armando Eduardo
In several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading to the parallelization of tracking algorithms. This paper presents the results of a concrete implementation, which deals with the particular case of simple objects moving in an context reachable by the vision element (video camera). The steps involved in the solution development are detailed, specially in relation to their parallelization by using a computer heterogeneous network and MPI (Message Passing Interface) support....
Printista, Alicia Marcela; Errecalde, Marcelo Luis; Montoya, Cecilia Inés
Q-Learning is a Reinforcement Learning method for solving sequential decision problems, where the utility of actions depends on a sequence of decisions and there exists uncertainty about the dynamics of the environment the agent is situated on. This general framework has allowed that Q-Learning and other Reinforcement Learning methods to be applied to a broad spectrum of complex real world problems such as robotics, industrial manufacturing, games and others. Despite its interesting properties, Q-learning is a very slow method that requires a long period of training for learning an acceptable policy. In order to solve or at least reduce this...
Castro, Silvia Mabel; Castro, Liliana Raquel; Boscardín, Liliana Beatriz; De Giusti, Armando Eduardo
In this paper, a method for representing scalar functions on volumes is presented. The method is based on wavelets and it can be used for representing volumetric data (geometric or scalar) defifined on non structured grids. The basic contribution is the extension of wavelets to represent scalar functions on volumetric domains of arbitrary topological type. This extension is made by constructing a wavelet basis defifined on any tetrahedrized volume. This basis construction is achieved using multiresolution analysis and the lifting scheme
Sanz, Cecilia Verónica; Jordán, Ramiro
This paper describes a new classification method (DER) based on evidential reasoning to which a series of modifications are added . DER allows including new evidence for the classification process and defines a different decision rule. The evidential reasoning algorithm provides a means to combine evidence from different data sources. It is a supervised classification technique that uses a training samples set. This novel method (DER) offers a learning stage to introduce new evidence in case the classifier requires so. Moreover, it uses the plausibility measure in order to define the decision rule as a way to incorporate data-associated uncertainty....
Pissioli, Mauricio; Moreira, Edson dos Santos; Goularte, Rudinei
A large quantity of data of different types and priorities pass through on high-speed networks. A relevant part of these data, like continuous media (audio, video, and so), need a control of its Quality of Service (QoS). This paper describes experiments on the characteristics of the ATM network technology that provide support to quality video streaming transmission. The experiments were realized considering QoS, connection admission control, network congestion, transmission priorities and bandwidth demand associated to applications and network configuration. Three basic kinds of videos were analyzed-movies (smooth movies), sports (action movies) and talking head movies. Data about video transmission were...
Scolnik, Hugo Daniel; Gambini, María Juliana
In this article we consider the problem of computing approximations to the second derivatives of functions of n variables using finite differences. We show how to derive different formulas and how to comput the errors of those approximations as functions of the increment h, both for first and second derivatives. Based upon those results we describe the methods of Gill and Murray and the one of gradient difference. On the other hand we introduce a new algorithm which use conjugate directions methods for minimizing functions without derivatives and the corresponding numerical comparisons with the other two methods. Finally, numerical experiences...