Virtual 3D (MUPAI Virtual 3D)

Virtual reality is currently considered a first-order resource for education and training. In this regard, artistic education, like other disciplines, is backing into this technology as a tool to overcome obstacles and contribute new ways of visualization and of providing information. And, in this case, the use of this technology presents enormous advantages for museums, especially, the more modest ones, which have few resources to disseminate and show their collections and works. Moreover, they have to resort to ingenious solutions to solve their difficulties. Therefore, the Pedagogic Museum of Children’s Art (MUPAI) backs into this technology to overcome some of the difficulties it encounters and to allow interested spectators to see its works, with great realism, and to visit its facilities anywhere in the world and at any time of the day. Hence, virtual reality unfolds new possibilities in the field of education that were inconceivable only a short time ago.Virtual reality is currently considered a first-order resource for education and training. In this regard, artistic education, like other disciplines, is backing into this technology as a tool to overcome obstacles and contribute new ways of visualization and of providing information. And, in this case, the use of this technology presents enormous advantages for museums, especially, the more modest ones, which have few resources to disseminate and show their collections and works. Moreover, they have to resort to ingenious solutions to solve their difficulties. Therefore, the Pedagogic Museum of Children’s Art (MUPAI) backs into this technology to overcome some of the difficulties it encounters and to allow interested spectators to see its works, with great realism, and to visit its facilities anywhere in the world and at any time of the day. Hence, virtual reality unfolds new possibilities in the field of education that were inconceivable only a short time ago

Trust, discrimination and acculturation Experimental evidence on Asian international and Australian domestic university students

ntercultural relations between Australia and Asia are pivotal to the economic prosperity of the Asia-Pacific region. However, there appears to be tension between Australian domestic and Asian international students at universities in Australia. To measure the degree of trust and patterns of discrimination between these groups, the Berg, Dickhaut and McCabe (1995) trust game and a series of control games were used in framework where each participant played each game against several partners. Controlling for individual heterogeneity, domestic students significantly discriminated against international students in the trust game, and individual discrimination was preference-based rather than based on beliefs towards international students’ trustworthiness. Moreover, the degree of in-group favouritism shown by domestic students was negatively correlated with the Big Five personality trait of Openness. Intercultural patterns across the games also pointed to a willingness of international students to build relations with domestic students. However, the average amount that they sent in the trust game was negatively related with the number of semesters studied at university in Australia, which may partly reflect cultural adjustment but also institutional disadvantages faced specifically by international students. The study furthers understanding of the patterns of discrimi-nation between domestic and international university students, the nature of this discrimination, and illustrates the extent of challenges faced by the Australian tertiary education sector

Chaotic image encryption using hopfield and hindmarsh–rose neurons implemented on FPGA

Chaotic systems implemented by artificial neural networks are good candidates for data encryption. In this manner, this paper introduces the cryptographic application of the Hopfield and the Hindmarsh–Rose neurons. The contribution is focused on finding suitable coefficient values of the neurons to generate robust random binary sequences that can be used in image encryption. This task is performed by evaluating the bifurcation diagrams from which one chooses appropriate coefficient values of the mathematical models that produce high positive Lyapunov exponent and Kaplan–Yorke dimension values, which are computed using TISEAN. The randomness of both the Hopfield and the Hindmarsh–Rose neurons is evaluated from chaotic time series data by performing National Institute of Standard and Technology (NIST) tests. The implementation of both neurons is done using field-programmable gate arrays whose architectures are used to develop an encryption system for RGB images. The success of the encryption system is confirmed by performing correlation, histogram, variance, entropy, and Number of Pixel Change Rate (NPCR) tests

Detección y localización de descargas parciales en devanados de transformadores de potencia usando modelos de alta frecuencia

El objetivo de un sistema eléctrico de potencia es suministrar energía eléctrica de forma ininterrumpida a los usuarios (industrias, sector público, hogares, etc.), así como ofrecer calidad en el servicio eléctrico. Por esta razón, debe existir un monitoreo constante y adecuado en cada uno de los equipos que conforman el sistema eléctrico de potencia en los diferentes niveles de tensión, generación, transmisión y distribución. Algunos de estos equipos son generadores, transformadores, líneas, subestaciones, etc. Los transformadores son componentes de suma importancia para el sistema eléctrico en los diferentes niveles de tensión, razón principal que motiva a desarrollar técnicas innovadoras para su diagnóstico. Lo anterior con el propósito de realizar evaluaciones técnico-económicas y en caso de ser necesario aplicar acciones correctivas que garanticen el funcionamiento apropiado de los equipos, para que a su vez se pueda extender el ciclo de vida de los mismo

La realidad virtual como recurso y herramienta útil para la docencia y la investigación

La realidad virtual actualmente supone un recurso de primer orden en cuanto a la docencia, la investigación y el proceso de enseñanza-aprendizaje se refiere. De hecho son numerosos los campos en los que se lleva utilizando durante años con gran éxito. Y esto sucede por dos motivos fundamentales: los conceptos que la estructuran y las características de los sistemas que utiliza. De modo que este artículo plantea la realidad virtual como una tecnología actual necesaria de ser utilizada en determinados supuestos y que aporta una serie de beneficios como pocas tecnologías lo han hecho a lo largo de la historia.Facultad de Informátic

A structure-preserving upwind DG scheme for a degenerate phase-field tumor model

In this work, we present a modification of the phase-field tumor growth model given in [26] that leads to bounded, more physically meaningful, volume fraction variables. In addition, we develop an upwind discontinuous Galerkin (DG) scheme preserving the mass conservation, pointwise bounds and energy stability of the continuous model. Finally, some computational tests in accordance with the theoretical results are introduced. In the first test, we compare our DG scheme with the finite element (FE) scheme related to the same time approximation. The DG scheme shows a well-behavior even for strong cross-diffusion effects in contrast with FE where numerical spurious oscillations appear. Moreover, the second test exhibits the behavior of the tumor-growth model under different choices of parameters and also of mobility and proliferation functions.Comment: 32 pages, 15 figure

Camera calibration for coastal monitoring using available snapshot images

Joint intrinsic and extrinsic calibration from a single snapshot is a common requirement in coastal monitoring practice. This work analyzes the influence of different aspects, such as the distribution of Ground Control Points (GCPs) or the image obliquity, on the quality of the calibration for two different mathematical models (one being a simplification of the other). The performance of the two models is assessed using extensive laboratory data (i.e., snapshots of a grid). While both models are able to properly adjust the GCPs, the simpler model gives a better overall performance when the GCPs are not well distributed over the image. Furthermore, the simpler model allows for better recovery of the camera position and orientation.Postprint (author's final draft

An unconditionally energy stable and positive upwind DG scheme for the Keller-Segel model

The well-suited discretization of the Keller-Segel equations for chemotaxis has become a very challenging problem due to the convective nature inherent to them. This paper aims to introduce a new upwind, mass-conservative, positive and energy-dissipative discontinuous Galerkin scheme for the Keller-Segel model. This approach is based on the gradient-flow structure of the equations. In addition, we show some numerical experiments in accordance with the aforementioned properties of the discretization. The numerical results obtained emphasize the really good behaviour of the approximation in the case of chemotactic collapse, where very steep gradients appear.Comment: 24 pages, 17 figures, 4 table

The Power of Models: Modeling Power Consumption for IoT devices

Low-energy technologies in the Internet of Things (IoTs) era are still unable to provide the reliability needed by the industrial world, particularly in terms of the wireless operation that pervasive deployments demand. While the industrial wireless performance has achieved an acceptable degree in communications, it is no easy task to determine an efficient energy-dimensioning of the device in order to meet the application requirements. This is especially true in the face of the uncertainty inherent in energy harvesting. Thus, it is of utmost importance to model and dimension the energy consumption of the IoT applications at the pre-deployment or pre-production stages, especially when considering critical factors, such as reduced cost, life-time, and available energy. This paper presents a comprehensive model for the power consumption of wireless sensor nodes. The model takes a system-level perspective to account for all energy expenditures: communications, acquisition and processing. Furthermore, it is based only on parameters that can empirically be quantified once the platform (i.e., technology) and the application (i.e., operating conditions) are defined. This results in a new framework for studying and analyzing the energy life-cycles in applications, and it is suitable for determining in advance the specific weight of application parameters, as well as for understanding the tolerance margins and tradeoffs in the system