Cuentas del Colegio Mayor del Rosario rendidas por Felipe de Vergara y Caicedo, parte 2

Cuentas de los gastos e ingresos del Colegio Mayor del Rosario desde el 5 de abril al 5 de mayo de 1811, presentadas por el rector Felipe de Vergara y Caicedo.

Cuentas del Colegio Mayor del Rosario rendidas por Felipe de Vergara y Caicedo, parte 3

Cuentas de gastos e ingresos del Colegio Mayor del Rosario desde el 13 de septiembre hasta el 28 de noviembre de 1811, presentadas por el rector saliente Felipe de Vergara y Caicedo.

Renuncia de Felipe de Vergara y Caicedo en el cargo de rector y la elección de Mariano Pérez Valencia como nuevo rector del Colegio Mayor del Rosario

Expediente sobre la elección de un rector para el Colegio Mayor del Rosario tras ser aceptada la renuncia de Felipe de Vergara y Caicedo en el mencionado cargo. Incluye los conteos para la elección, la certificación de las elecciones que anuncian en el cargo de rector a Mariano Pérez Valencia; y la aceptación de los nombramientos por parte de Manuel José Escobar como vicerrector y Pedro Lasso de la Vega como tercer consiliario.

A pinacoteca de Felipe IV e a consciência soberana

A consideração de duas pinacotecas associadas a Felipe IV de Espanha, a do Palacio del Buen Retiro e a da Torre dela Parada, possibilita o reconhecimento da articulação entre ambas e à sugestão de uma unívoca intencionalidade que as estrutura, nelas se descobrindo aspectos de uma subjectividade, não apenas relativa ao rei, mas soberana, prevalecente na consciência moderna.

REPRESENTACIÓN, HIBRIDACIÓN Y DIFERENCIA COLONIAL EN EL PRIMER NUEVA CORÓNICA Y BUEN GOBIERNO DE FELIPE GUAMÁN POMA DE AYALA

El artículo analiza las “estrategias de representación” que incorpora el tejido textual de El Primer Nueva Corónica y Buen Gobierno (1583-1615) de Guamán Poma de Ayala, y desde allí revisa las formas de construcción de la diferencia en la representación cultural y colonial. El "recorrido de la representación" que exhibe la crónica es, ciertamente, rizomático y, en esa medida, inaprehensible. Sin embargo, el artículo se centra en algunos puntos nodales que informan, al menos parcialmente, la estructura y el proceso de representación: la hibridación cultural vista desde el lenguaje, la religión y el mestizaje ofrecerán la clave para establecer la diferencia cultural/colonial que erige el indio peruano dentro de los procesos de colonización española en las Indias del Perú. 

MARKS OF GRATUITOUSNESS: THE PERCEPTION OF EXISTENTIALIST PATHOS AT THE POEM THE NAUSEA BY FELIPE FORTUNA

ABSTRACT: The present article is an hermeneutic reading of the poem The nausea, written by Felipe Fortuna, with the purpose of exploring the poetic work through a quadridimensional vision of the artistical object, in which the elements – the writer, the society (sociable forms, ideologies, programs, pedagogies, codes and stratification zones), the work and the imaginary (symbol image’s constellations gathered around regimes or postures) – are closely related. Equally, this work intends to demonstrate, using an hermeneutic perspective, guided by the classical hermeneutics, all the elements that compose the poem show themselves as a single and coherent shape, indissoluble association moved by a pathos that stimulates the work.   KEY WORDS: Gratuitousness, pathos, imaginary, Felipe Fortuna.

Fast reconstruction of aerodynamic shapes using evolutionary algorithms and virtual Nash strategies in a CFD design environment

This paper compares the performances of two different optimisation techniques for solving inverse problems; the first one deals with the Hierarchical Asynchronous Parallel Evolutionary Algorithms software (HAPEA) and the second is implemented with a game strategy named Nash-EA. The HAPEA software is based on a hierarchical topology and asynchronous parallel computation. The Nash-EA methodology is introduced as a distributed virtual game and consists of splitting the wing design variables - aerofoil sections - supervised by players optimising their own strategy. The HAPEA and Nash-EA software methodologies are applied to a single objective aerodynamic ONERA M6 wing reconstruction. Numerical results from the two approaches are compared in terms of the quality of model and computational expense and demonstrate the superiority of the distributed Nash-EA methodology in a parallel environment for a similar design quality.

Solar powered UAV for fire prevention and planning

This project aims to develop a methodology for designing and conducting a systems engineering analysis to build and fly continuously, day and night, propelled uniquely by solar energy for one week with a 0.25Kg payload consuming 0.5 watt without fuel or pollution. An airplane able to fly autonomously for many days could find many applications. Including coastal or border surveillance, atmospherical and weather research and prediction, environmental, forestry, agricultural, and oceanic monitoring, imaging for the media and real-estate industries, etc. Additional advantages of solar airplanes are their low cost and the simplicity with which they can be launched. For example, in the case of potential forest fire risks during a warm and dry period, swarms of solar airplanes, easily launched with the hand, could efficiently monitor a large surface, reporting rapidly any fire starts. This would allow a fast intervention and thus reduce the cost of such disaster, in terms of human and material losses. At higher dimension, solar HALE platforms are expected to play a major role as communication relays and could replace advantageously satellites in a near future.

UAS Mission Path Planning System, (MPPS) using hybrid-game coupled to multi-objective optimizer

This paper presents the application of advanced optimization techniques to unmanned aerial system mission path planning system (MPPS) using multi-objective evolutionary algorithms (MOEAs). Two types of multi-objective optimizers are compared; the MOEA nondominated sorting genetic algorithm II and a hybrid-game strategy are implemented to produce a set of optimal collision-free trajectories in a three-dimensional environment. The resulting trajectories on a three-dimensional terrain are collision-free and are represented by using Bézier spline curves from start position to target and then target to start position or different positions with altitude constraints. The efficiency of the two optimization methods is compared in terms of computational cost and design quality. Numerical results show the benefits of adding a hybrid-game strategy to a MOEA and for a MPPS.

Active flow control bump design using hybrid Nash-game coupled to evolutionary algorithms

In this paper, the optimal design of an active flow control device; Shock Control Bump (SCB) on suction and pressure sides of transonic aerofoil to reduce transonic total drag is investigated. Two optimisation test cases are conducted using different advanced Evolutionary Algorithms (EAs); the first optimiser is the Hierarchical Asynchronous Parallel Evolutionary Algorithm (HAPMOEA) based on canonical Evolutionary Strategies (ES). The second optimiser is the HAPMOEA is hybridised with one of well-known Game Strategies; Nash-Game. Numerical results show that SCB significantly reduces the drag by 30% when compared to the baseline design. In addition, the use of a Nash-Game strategy as a pre-conditioner of global control saves computational cost up to 90% when compared to the first optimiser HAPMOEA.

Design Optimisation of UAVs Systems achieved on a Framework Environment via Evolution and Game Theory

Over recent years, Unmanned Air Vehicles or UAVs have become a powerful tool for reconnaissance and surveillance tasks. These vehicles are now available in a broad size and capability range and are intended to fly in regions where the presence of onboard human pilots is either too risky or unnecessary. This paper describes the formulation and application of a design framework that supports the complex task of multidisciplinary design optimisation of UAVs systems via evolutionary computation. The framework includes a Graphical User Interface (GUI), a robust Evolutionary Algorithm optimiser named HAPEA, several design modules, mesh generators and post-processing capabilities in an integrated platform. These population –based algorithms such as EAs are good for cases problems where the search space can be multi-modal, non-convex or discontinuous, with multiple local minima and with noise, and also problems where we look for multiple solutions via Game Theory, namely a Nash equilibrium point or a Pareto set of non-dominated solutions. The application of the methodology is illustrated on conceptual and detailed multi-criteria and multidisciplinary shape design problems. Results indicate the practicality and robustness of the framework to find optimal shapes and trade—offs between the disciplinary analyses and to produce a set of non dominated solutions of an optimal Pareto front to the designer.

The Green Falcon - Solar Powered Unmanned Aerial Vehicle

In recent months the extremes of Australia’s weather have affected, killed a good number of people and millions of dollars lost. Contrary to a manned aircraft or a helicopter; which have restricted air time, a UAS or a group of UAS could provide 24 hours coverage of the disaster area and be instrumented with infrared cameras to locate distressed people and relay information to emergency services. The solar powered UAV is capable of carrying a 0.25Kg payload consuming 0.5 watt and fly continuously for at low altitude for 24 hrs ,collect the data and create a special distribution . This system, named Green Falcon, is fully autonomous in navigation and power generation, equipped with solar cells covering its wing, it retrieves energy from the sun in order to supply power to the propulsion system and the control electronics, and charge the battery with the surplus of energy. During the night, the only energy available comes from the battery, which discharges slowly until the next morning when a new cycle starts. The prototype airplane was exhibited at the Melbourne Museum form Nov09 to Feb 2010.

Assessment of the suitability of public mobile data networks for aircraft telemetry and control purposes

This paper provides a review of the state of the art relevant work on the use of public mobile data networks for aircraft telemetry and control proposes. Moreover, it describes the characterisation for airborne uses of the public mobile data communication systems known broadly as 3G. The motivation for this study was the explore how this mature public communication systems could be used for aviation purposes. An experimental system was fitted to a light aircraft to record communication latency, line speed, RF level, packet loss and cell tower identifier. Communications was established using internet protocols and connection was made to a local server. The aircraft was flown in both remote and populous areas at altitudes up to 8500 ft in a region located in South East Queensland, Australia. Results show that the average airborne RF levels are better than those on the ground by 21% and in the order of - 77dbm. Latencies were in the order of 500ms (1/2 the latency of Iridium), an average download speed of 0.48Mb/s, average uplink speed of 0.85Mb/s, a packet of information loss of 6.5%. The maximum communication range was also observed to be 70km from a single cell station. The paper also describes possible limitations and utility of using such communications architecture for both manned and unmanned aircraft systems.

Forecasting crashes at the planning level: Simultaneous negative binomial crash model applied in Tucson, Arizona

At least two important transportation planning activities rely on planning-level crash prediction models. One is motivated by the Transportation Equity Act for the 21st Century, which requires departments of transportation and metropolitan planning organizations to consider safety explicitly in the transportation planning process. The second could arise from a need for state agencies to establish incentive programs to reduce injuries and save lives. Both applications require a forecast of safety for a future period. Planning-level crash prediction models for the Tucson, Arizona, metropolitan region are presented to demonstrate the feasibility of such models. Data were separated into fatal, injury, and property-damage crashes. To accommodate overdispersion in the data, negative binomial regression models were applied. To accommodate the simultaneity of fatality and injury crash outcomes, simultaneous estimation of the models was conducted. All models produce crash forecasts at the traffic analysis zone level. Statistically significant (p-values < 0.05) and theoretically meaningful variables for the fatal crash model included population density, persons 17 years old or younger as a percentage of the total population, and intersection density. Significant variables for the injury and property-damage crash models were population density, number of employees, intersections density, percentage of miles of principal arterial, percentage of miles of minor arterials, and percentage of miles of urban collectors. Among several conclusions it is suggested that planning-level safety models are feasible and may play a role in future planning activities. However, caution must be exercised with such models.