Tinetti, Fernando Gustavo
In this thesis, parallel computing on installed local area networks (LAN) is focused, analyzing problems and possible solutions taking into account the main factors of computing and communications. More specifically, LAN are characterized as parallel computers in the context of linear algebra applications, proposing parallelization guidelines which are: specific for parallel computing on LAN, and simple enough to be applied to a wide range of problems
Lanzarini, Laura Cristina
Artificial Neural Networks belong to the sub-symbolic branch of Artificial Intelligence since they allow to find the solution of a problem without the need of knowing the algorithm necessary to solve it. This turns them into a tool based on an approach completely different from that used by conventional Computing.
Artificial neural networks (ANN) have been inspired in how the brain works and in the way its cells relate to each other. Technological advances provide ever-greater resources to represent really complex structures, perform computations at high speed and in parallel. This has indeed motivated research on this kind of tool.
Zhang, Kui; Zhou, Jianzhong
In order to accomplish collaborative product development in the area of engineering, a work platform is needed to support all-sided collaborative work by the different development partners at geographically different locations. The platform is established on the basis of a three-tier architecture which provides four advantages over Client/Sever model. First of all, it can improve the capability and scalability of the development system. Secondly it can enhance the functional reliability. Thirdly it can transfer main management works to application servers to reduce the overall expenses. Finally it can increase the feasibility and development efficiency. In a typical Collaborative Product Development...
Pandolfi, Daniel; Lasso, Marta Graciela; San Pedro, María Eugenia de; Villagra, Andrea; Gallard, Raúl Hector
Evolutionary algorithms (EAs) are merely blind search algorithms, which only make use of the relative fitness of solutions, but completely ignore the nature of the problem. Their performance can be improved by using new multirecombinative approaches, which provide a good balance between exploration and exploitation. Even though in difficult problems with large search spaces a considerable number of evaluations are required to arrive to near-optimal solutions. On the other hand specialized heuristics are based on some specific features of the problem, and the solution obtained can include some features of optimal solutions. If we insert in the evolutionary algorithm the...
Sanz, Cecilia Verónica; Zangara, Alejandra; González, Alejandro Héctor; De Giusti, Armando Eduardo; Ibañez, Eduardo
This paper presents some of the aspects related to the multidisciplinary research process initiated in III LIDI for the development of a learning environment focused on the WEB (WebLIDI). It attempts to gather, in a work group, the technology working logic and the basic notions about teaching and learning. This project not only aims at developing a distance course design methodology, but also at the possibility of applying it through the WebLIDI environment - based on the principles connected to the pedagogical and technological variables involved in teaching and learning instances. Some of the decisions taken throughout this process are...
Azevedo, Hilton José Silva de; Scalabrin, Edson Emílio; Faria, Marcio de Paula; Manfroi, Fairus
This paper discusses the main lines used to model intelligent agents that will operate in a Collaborative Online Learning Environment-COLE. The aim of COLE is to evaluate the contribution that Information Technology and Multiagent Systems can bring to the discussion about new adult learning processes. The work hypothesis is that online environments can better handle the huge mass of data related to human interactions in social learning processes than the face-to-face educational ones. Acquiring and managing expanded sets of data has been an obstacle to implement educational practices that consider students in broader dimensions, far beyond content assessment. Elements of...
Chesñevar, Carlos Iván; Maguitman, Ana Gabriela; González, María Paula; Cobo, María Laura
A Fundamentals of Computing Theory course involves different topics that are core to the Computer Science curricula and whose level of abstraction makes them difficult both to teach and to learn. Such difficulty stems from the complexity of the abstract notions involved and the required mathematical background. Surveys conducted among our students showed that many of them were applying some theoretical concepts mechanically rather than developing significant learning. This paper shows a number of didactic strategies that we introduced in the Fundamentals of Computing Theory curricula to cope with the above problem. The proposed strategies were based on a stronger...
The use of generic and generative methods for the development and application of interactive educational software is a relatively unexplored area in industry and education. Advantages of generic and generative techniques are, among other things, the high degree of reusability of systems parts and the reduction of development costs. Furthermore, generative methods can be used for the development or realization of novel learning models. In this paper, we discuss such a learning model that propagates a new way of explorative learning in computer science education with the help of generators. A realization of this model represents the educational software GANIFA...