Modelatge basat en funcions per la aproximació als fenòmens naturals

Aquesta presentació resumeix les tècniques computacionals existents que aborden l'estudi dels fenòmens naturals i prososa una aproximació basada en funcions

Un breve análisis de la diseminación de la información en redes informáticas a partir de modelos epidemiológicos

Currently one of the most valuable assets in computer networks is the data that travels through the various nodes that make up network topologies. In most cases, the presence of large volumes of data on the networks allows them to be damaged due to the alteration of the information by some type of virus, malware, or Trojan, which generates a spread of disease in the network. Faced with this situation, we propose the use of a classical model of infectious disease based on SEIRS, which allows us to propose a discrete space-time framework for the spread of the disease. Three types of connectivity are considered that are represented through a neighborhood relationship for which a grid of size n x n is used. The types of neighborhoods considered are those of Von Neumann, Moore, and L. Specifically, the use of local rules and the type of neighborhood define the dynamics of the spread of the infectious disease. Then we present an approach to the evolution of deterministic models of differential equations (ODE), such as the SIR and SEIRS models to estimate the parameters of this discrete model from data. We illustrate the proposed approach for computer network data using parametric data. More than that, the AIDS Epidemic in Cuba (1986-2000) and the Bubonic Plague Epidemic in India (1908) are successfully modeled from our approach. This work helps to graph equivalences between two conceptually different models and highlights that they give similar results when appropriately taking the values ​​of the parameters.Actualmente uno de los activos más valiosos en las redes informáticas son los datos que viajan a través de los diversos nodos que componen las topologías de redes. En la mayoría de los casos, la presencia de grandes volúmenes de datos en las redes, permiten que estos se dañen debido a la alteración de la información por algún tipo de virus, malware o troyano lo que genera en una propagación de una enfermedad en la red. Ante esta situación, planteamos el uso de un modelo clásico de enfermedad infecciosa basado en SEIRS, el cual permite plantear un marco de espacio – tiempo discreto para la expansión de la enfermedad. Se consideran tres tipos de conectividad que se representan a través de una relación de vecindad para la que se utiliza una rejilla de tamaño n x n. Los tipos de vecindario considerados son los de Von Neumann, Moore y L. Específicamente, el uso de reglas locales y el tipo de vecindario definen la dinámica de expansión de la enfermedad infecciosa. Luego presentamos un acercamiento a la evolución de modelos deterministas de ecuaciones diferenciales (ODE), como los modelos SIR y SEIRS para estimar los parámetros de este modelo discreto a partir de datos. Ilustramos el enfoque propuesto para los datos de las redes informáticas a partir de datos paramétricos. Más que eso, se modela con éxito, la Epidemia del SIDA en Cuba (1986-2000) y la Epidemia de la Peste bubónica en India (1908) desde nuestro enfoque. Este trabajo ayuda a graficar equivalencias entre dos modelos conceptualmente diferentes y destaca que dan resultados similares al tomar apropiadamente los valores de los parámetros

Information Search Habits of First Year College Students

New technologies have transformed teaching processes and enabled new ways of study and learning. In these activities, it is suspected that the students don't make good use of new available technologies or, in the best case, they are underused. The analysis of this issue with the design of strategies to correct any defects found is the motivation that supports the development of this work and the main purpose of it. Evaluate information search habits used by the student and analyse their deduct synthesis and processing capabilities of the results found. The researchers of this study are university teachers of first year subjects, which allows them to know the information search performances by students

Modelling the malware propagation in mobile computer devices

Nowadays malware is a major threat to the security of cyber activities. The rapid development of the Internet and the progressive implementation of the Internet of Things (IoT) increase the security needs of networks. This research presents a theoretical model of malware propagation for mobile computer devices. It is based on the susceptible-exposed-infected-recovered-susceptible (SEIRS) epidemic model. The scheme is based on a concrete connection pattern between nodes defined by both a particular neighbourhood which fixes the connection between devices, and a local rule which sets whether the link is infective or not. The results corroborate the ability of our model to perform the behaviour patterns provided by the ordinary differential equation (ODE) traditional method

A collaborative working model for enhancing the learning process of science & engineering students

Science and engineering education are mostly based on content assimilation and development of skills. However, to adequately prepare students for today's world, it is also necessary to stimulate critical thinking and make them reflect on how to improve current practices using new tools and technologies. In this line, the main motivation of this research consists in exploring ways supported by technology to enhance the learning process of students and to better prepare them to face the challenges of today's world. To this end, the purpose of this work is to design an innovative learning project based on collaborative work among students, and research its impact in achieving better learning outcomes, generating of collective intelligence and further motivation. The proposed collaborative working model is based on peer review assessment methodology implemented through a learning web-platform. Thus, students were encouraged to peer review their classmates' works. They had to make comments, suggest improvements, and assess final assignments. Teaching staff managed and supervised the whole process. Students were selected from computer science engineering at the University of Alicante (Spain). Results suggested greater content assimilation and enhanced learning in several scientific skills. The students' final grade exceeded what any student could produce individually, but we cannot conclude that real collective intelligence was generated. Learning methodologies based on the possibilities of Information and Communication Technologies (ICT) provide new ways to transmit and manage knowledge in higher education. Collaborating in peer assessment enhances the students' motivation and promotes the active learning. In addition, this method can be very helpful and time saving for instructors in the management of large groups

A Computational Model of the Belief System Under the Scope of Social Communication

This paper presents an approach to the belief system based on a computational framework in three levels: first, the logic level with the definition of binary local rules, second, the arithmetic level with the definition of recursive functions and finally the behavioural level with the definition of a recursive construction pattern. Social communication is achieved when different beliefs are expressed, modified, propagated and shared through social nets. This approach is useful to mimic the belief system because the defined functions provide different ways to process the same incoming information as well as a means to propagate it. Our model also provides a means to cross different beliefs so, any incoming information can be processed many times by the same or different functions as it occurs is social nets

Cultural Heritage and Sustainable Rural Development: The Case of Tàrbena, Spain

The population decline of small villages is a very serious problem for our society. This situation is not easy to reverse. The challenge is to generate consensus among the inhabitants of small villages to develop projects that have both a link with social and cultural heritage and the aid of the regional and local authorities. This framework can be successful when it also has the capability to provide new lines of development growing from this initial seed that can attract new inhabitants. In this paper, we present research that follows these requirements. Our proposal is based on a traditional agriculture resource, which is the art of building dry stone walls. We study the case of Tàrbena (642 inhabitants in the province of Alicante, Spain). Stone artifacts are recovered: some of them are still useful for agriculture, and others are cataloged and transformed into a product for cultural tourism. This project is expected to develop local, manual, and specialized work through the development of workshops, crafts, and small businesses. This will provide more income for the municipality and the private sector and more opportunities to attract new inhabitants.This research was funded by the government of Generalitat Valenciana, Spain (Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital). Project AICO 2021-331

Approximating Ordinary Differential Equations by Means of the Chess Game Moves

The chess game provides a very rich experience in neighborhood types. The chess pieces have vertical, horizontal, diagonal, up/down or combined movements on one or many squares of the chess. These movements can associate with neighborhoods. Our work aims to set a behavioral approximation between calculations carried out by means of traditional computation tools such as ordinary differential equations (ODEs) and the evolution of the value of the cells caused by the chess game moves. Our proposal is based on a grid. The cells’ value changes as time pass depending on both their neighborhood and an update rule. This framework succeeds in applying real data matching in the cases of the ODEs used in compartmental models of disease expansion, such as the well-known Susceptible-Infected Recovered (SIR) model and its derivatives, as well as in the case of population dynamics in competition for resources, depicted by the Lotke-Volterra model.This research is funded by Generalitat Valenciana, Conselleria de Innovación, Universidades, Ciencia y Sociedad Digital, Spain. Project AICO 2021-331

Parametrized Architecture for Hough Transform Recursive Evaluation

Paper submitted to International Workshop on Spectral Methods and Multirate Signal Processing (SMMSP), Barcelona, España, 2003.The Hough Transform (HT) is a useful technique in image segmentation, concretely for geometrical primitive detection. A Convolution-Based Recursive Method (CBRM) is presented for function evaluation. In this generic approach, calculations are carried out by an unique parametric formula which provides all function points by successive iterations. The case of combined trigonometric functions involved in the calculation of the HT is analyzed under this scope. An architecture for reconfigurable FPGA-based hardware, using Distributed Arithmetic (DA) implements the design. The CBRM implementation provides improvements such as memory and hardware resources saving, as well as a good balance between speed and error-dependable precision

Parametrizable Architecture for Function Recursive Evaluation

Paper submitted to the XVIII Conference on Design of Circuits and Integrated Systems (DCIS), Ciudad Real, España, 2003.This paper presents a function evaluation method developed under the scope of recursive expression of function convolution. This approach is based on a unique parametrizable formula capable of providing function points by successive iteration. When tackling design level, it also shows suitable for developing architectural schemes capable of dealing with different speed and precision issues. An architecture for reconfigurable FPGA based in serial distributed arithmetic implements the design for fast prototyping. The case of combined trigonometric functions involved in rotation is analyzed under this scope. Compared with others methods, our proposal offers a good balance between speed and precision