Monitorización de la integración de sistemas intensivos software

El software se ha convertido en el eje central del mundo actual, una compleja creación humana que influye en la vida, negocios y comunicación de todas las personas pertenecientes a la Sociedad de la Información. El rápido crecimiento experimentado en el ámbito del desarrollo software ha permitido la creación de avanzadas estructuras tecnológicas, denominadas “Sistemas Intensivos Software”, capaces de comunicarse con otros sistemas, dispositivos, sensores y personas. A lo largo de los próximos años los sistemas se enfrentarán a una mayor complejidad, surgida de la necesidad de operar en entornos de grandes dimensiones y de comportamientos no deterministas. Los métodos y herramientas actuales no son lo suficientemente potentes para diseñar, construir,implementar y mantener sistemas intensivos software con estas características, y detener la construcción de sistemas intensivos software o construir sistemas poco flexibles o fiables no es una alternativa real. En el desarrollo de “Sistemas Intensivos Software” pueden llegar a intervenir distintas entidades o compañías software que suelen estar en ubicaciones geográficas distintas y constituidas por grandes equipos de desarrollo, multidisciplinares e incluso multilingües. Debido a la criticidad del resultado de las actividades realizadas de forma independiente en el sistema resultante, éstas se han de controlar y monitorizar para asegurar la correcta integración de todos los elementos del sistema completo. El objetivo de este proyecto es la creación de una herramienta software para dar soporte a la gestión y monitorización de la construcción e integración de sistemas intensivos software, siendo extensible también a proyectos de otra índole. La herramienta resultante se denomina Positioning System, una aplicación web del tipo SPA (Single Page Application) creada con tecnología de última generación como el framework JavaScript AngularJS y tecnología de back-end como SlimPHP. Positioning System provee la funcionalidad necesaria para la creación de proyectos, familias y subfamilias de productos que constituyen los productos software de los proyectos creados, así como la gestión de socios comerciales y gestión de contactos de dichos proyectos. Todas estas funcionalidades son fácilmente monitorizadas y controladas por gráficos estadísticos generados para cada proyecto. ABSTRACT Software has become the backbone of today’s world, a complex human creation that has an important impact in the life, business and communication of all people involved with the Information Society. The quick growth that software development has undergone for last years has enabled the creation of advanced technological structures called “Software Intensive Systems”. They are able to communicate with other systems, devices, sensors and people. Next years, systems will face more complexity. It arises from the need of operating systems of large dimensions with non-deterministic behaviors. Current methods and tools are not powerful enough to design, build, implement and maintain software intensive systems; however stopping the development or developing unreliable and non-flexible systems is not a real alternative. Software Intensive Systems” development may involve different entities or software companies which may be in different geographical locations and may be constituted by large, multidisciplinary and even multilingual development teams. Due to the criticality of the result of each conducted activity, independently in the resulting system, these activities must be controlled and monitored to ensure the proper integration of all the elements within the complete system. The goal of this project is the creation of a software tool to support the management and monitoring of the construction and integration of software intensive systems, being possible to be extended to other kind of projects. The resultant tool is called Positioning System, a web application that follows the SPA (Single Page Application) style. It was created with the latest technologies, such as, the AngularJS framework and SlimPHP. The Positioning System provides the necessary features for the creation of projects, families and subfamilies of products that constitute the software products of the created projects, as well as the management of business partners and contacts of these projects. All these features are easily monitored and controlled by statistical graphs generated for each project.

An alternative disjunctive optimization model for heat integration with variable temperatures

This paper presents an alternative model to deal with the problem of optimal energy consumption minimization of non-isothermal systems with variable inlet and outlet temperatures. The model is based on an implicit temperature ordering and the “transshipment model” proposed by Papoulias and Grossmann (1983). It is supplemented with a set of logical relationships related to the relative position of the inlet temperatures of process streams and the dynamic temperature intervals. In the extreme situation of fixed inlet and outlet temperatures, the model reduces to the “transshipment model”. Several examples with fixed and variable temperatures are presented to illustrate the model's performance.

The antioxidant activity of novel chromones and xanthones: a structure-activity relationship

Chromones and xanthones are oxygen-containing heterocyclic compounds with bioactive properties widely reported in the literature, specially concerning to their antioxidant properties. The search for new natural and synthetic chromone and xanthone derivatives order to evaluate and discover new structural features rendering optimized biological effects has been a challenge. Thus, the aim of this work was to evaluate the scavenging activity of reactive oxygen (ROS) and nitrogen (RNS) species of new synthetic hydroxylated chromones and xanthones (Fig. 1) using in vitro non-cellular systems. These compounds exhibited scavenger effects dependent on the concentration, with IC50 values found at the micromolar range. The overall scavenging activity of chromones was better than xanthones, specially the one of chromone 3A. In conclusion, the novel tested chromone and xanthone scaffolds proved to be promising pharmacophores with potential therapeutic applications as antioxidant agents.

A conceptual model of personalized virtual learning environments

The Virtual Learning Environment (VLE) is one of the fastest growing areas in educational technology research and development. In order to achieve learning effectiveness, ideal VLEs should be able to identify learning needs and customize solutions, with or without an instructor to supplement instruction. They are called Personalized VLEs (PVLEs). In order to achieve PVLEs success, comprehensive conceptual models corresponding to PVLEs are essential. Such conceptual modeling development is important because it facilitates early detection and correction of system development errors. Therefore, in order to capture the PVLEs knowledge explicitly, this paper focuses on the development of conceptual models for PVLEs, including models of knowledge primitives in terms of learner, curriculum, and situational models, models of VLEs in general pedagogical bases, and particularly, the definition of the ontology of PVLEs on the constructivist pedagogical principle. Based on those comprehensive conceptual models, a prototyped multiagent-based PVLE has been implemented. A field experiment was conducted to investigate the learning achievements by comparing personalized and non-personalized systems. The result indicates that the PVLE we developed under our comprehensive ontology successfully provides significant learning achievements. These comprehensive models also provide a solid knowledge representation framework for PVLEs development practice, guiding the analysis, design, and development of PVLEs. (c) 2005 Elsevier Ltd. All rights reserved.

Influence of adsorbate interaction on transport in confined spaces

This article provides a review of the recent theory of transport in nanopores developed in the author's laboratory. In particular the influence of fluid-solid interactions on the transport coefficient is examined, showing that such interactions reduce the value of the coefficient by almost an order of magnitude in comparison to the Knudsen theory for non-interacting systems. The activation energy and potential energy barriers for diffusion in smooth pores with a one-dimensional potential energy profile are also discussed, indicating the inadequacy of the commonly used assumption of proportionality between the activation energy and heat of adsorption or the minimum pore potential energy. A further feature affected by fluid-solid interactions is the nature of the reflection of fluid molecules colliding with a pore wall surface, varying from being nearly specular - such as in carbon nanotubes - to nearly diffuse for amorphous solids. Diffuse reflection leads to momentum loss and reduced transport coefficients. However, fluid-solid interactions do not affect the transport coefficient in the single-file diffusion regime when the surface reflection is diffuse, and the transport coefficient in this case is largely independent of the adsorbed density.

Neural network control of a gas turbine

In this paper we explore the practical use of neural networks for controlling complex non-linear systems. The system used to demonstrate this approach is a simulation of a gas turbine engine typical of those used to power commercial aircraft. The novelty of the work lies in the requirement for multiple controllers which are used to maintain system variables in safe operating regions as well as governing the engine thrust.

Temporal finite elements in the dynamic analysis of structures

This thesis demonstrates that the use of finite elements need not be confined to space alone, but that they may also be used in the time domain, It is shown that finite element methods may be used successfully to obtain the response of systems to applied forces, including, for example, the accelerations in a tall structure subjected to an earthquake shock. It is further demonstrated that at least one of these methods may be considered to be a practical alternative to more usual methods of solution. A detailed investigation of the accuracy and stability of finite element solutions is included, and methods of applications to both single- and multi-degree of freedom systems are described. Solutions using two different temporal finite elements are compared with those obtained by conventional methods, and a comparison of computation times for the different methods is given. The application of finite element methods to distributed systems is described, using both separate discretizations in space and time, and a combined space-time discretization. The inclusion of both viscous and hysteretic damping is shown to add little to the difficulty of the solution. Temporal finite elements are also seen to be of considerable interest when applied to non-linear systems, both when the system parameters are time-dependent and also when they are functions of displacement. Solutions are given for many different examples, and the computer programs used for the finite element methods are included in an Appendix.

Estudo sobre a detecção de invariância de escala discreta em sistemas com criticalidade auto-organizada

Recent studies have shown evidence of log-periodic behavior in non-hierarchical systems. An interesting fact is the emergence of such properties on rupture and breakdown of complex materials and financial failures. These may be examples of systems with self-organized criticality (SOC). In this work we study the detection of discrete scale invariance or log-periodicity. Theoretically showing the effectiveness of methods based on the Fourier Transform of the log-periodicity detection not only with prior knowledge of the critical point before this point as well. Specifically, we studied the Brazilian financial market with the objective of detecting discrete scale invariance in Bovespa (Bolsa de Valores de S˜ao Paulo) index. Some historical series were selected periods in 1999, 2001 and 2008. We report evidence for the detection of possible log-periodicity before breakage, shown its applicability to the study of systems with discrete scale invariance likely in the case of financial crashes, it shows an additional evidence of the possibility of forecasting breakage

Idiotypic Immune Networks in Mobile Robot Control

Jerne's idiotypic network theory postulates that the immune response involves inter-antibody stimulation and suppression as well as matching to antigens. The theory has proved the most popular Artificial Immune System (AIS) model for incorporation into behavior-based robotics but guidelines for implementing idiotypic selection are scarce. Furthermore, the direct effects of employing the technique have not been demonstrated in the form of a comparison with non-idiotypic systems. This paper aims to address these issues. A method for integrating an idiotypic AIS network with a Reinforcement Learning based control system (RL) is described and the mechanisms underlying antibody stimulation and suppression are explained in detail. Some hypotheses that account for the network advantage are put forward and tested using three systems with increasing idiotypic complexity. The basic RL, a simplified hybrid AIS-RL that implements idiotypic selection independently of derived concentration levels and a full hybrid AIS-RL scheme are examined. The test bed takes the form of a simulated Pioneer robot that is required to navigate through maze worlds detecting and tracking door markers.

Idiotypic Immune Networks in Mobile Robot Control

Jerne's idiotypic network theory postulates that the immune response involves inter-antibody stimulation and suppression as well as matching to antigens. The theory has proved the most popular Artificial Immune System (AIS) model for incorporation into behavior-based robotics but guidelines for implementing idiotypic selection are scarce. Furthermore, the direct effects of employing the technique have not been demonstrated in the form of a comparison with non-idiotypic systems. This paper aims to address these issues. A method for integrating an idiotypic AIS network with a Reinforcement Learning based control system (RL) is described and the mechanisms underlying antibody stimulation and suppression are explained in detail. Some hypotheses that account for the network advantage are put forward and tested using three systems with increasing idiotypic complexity. The basic RL, a simplified hybrid AIS-RL that implements idiotypic selection independently of derived concentration levels and a full hybrid AIS-RL scheme are examined. The test bed takes the form of a simulated Pioneer robot that is required to navigate through maze worlds detecting and tracking door markers.

Formulação lagrangiana para sistemas dissipativos através do cálculo fracionário

Neste trabalho, generalizamos o Princípio da Mínima Ação proposto por Riewe para sistemas não conservativos, contendo forças dissipativas lineares dependentes de derivadas temporais de qualquer ordem. A Ação generalizada é construída a partir de funções Lagrangianas dependentes de derivadas de ordem inteira e fracionária. Diferente de outras formulações, o uso de derivadas fracionárias permite a construção de Lagrangianas físicas para sistemas não conservativos. Uma Lagrangiana é dita física se fornece relações fisicamente consistentes para o momentum e o Hamiltoniano do sistema. Neste Princípio da Mínima Ação generalizado, as equações de movimento são obtidas a partir da equação de Euler-Lagrange e, tomando-se o limite indo à zero para o intervalo de tempo definindo a Ação. Finalmente, como exemplo de aplicação, formulamos pela primeira vez uma Lagrangiana física para o problema da carga pontual acelerada.

Integrable coupling in a model for Josephson tunneling between non-identical BCS systems

We extend a recent construction for an integrable model describing Josephson tunneling between identical BCS systems to the case where the BCS systems have different single particle energy levels. The exact solution of this generalized model is obtained through the Bethe ansatz.

Symbolic dynamics and renormalization of non-autonomous k periodic dynamical systems

The purpose of this paper was to introduce the symbolic formalism based on kneading theory, which allows us to study the renormalization of non-autonomous periodic dynamical systems.

Comments on ‘‘Modeling fractional stochastic systems as non-random fractional dynamics driven Brownian motions

Applied Mathematical Modelling, Vol.33