Alignment of Business Models and Software: Using an Architecture-Centric Method to the Case of a Healthcare Information System

The alignment of business issues with technological service-oriented solutions has proven to be a crucial aspect of modern business development. In this regard, the provision of methods to solve the gap between business and technology becomes absolutely necessary. This paper presents a proposal to systematize that leap by defining a development method centred on the concept of Architecture. The use of different architectural models at different levels of abstraction (along with the definition of model transformations between them) allows for the establishment of a trace between the business-level elements and software elements that are derived from them. Key benefits of our proposal are, on the one hand, the provision of a method for business-technology alignment and, on the other hand, the definition of a new model to represent the structure of a business. This proposal has been refined and validated using the case of an information system for the management of paediatric percentiles

A Toolkit for ADM-based Migration: Moving from PHP Code to KDM Model in the Context of CMS-based Web Applications

In the last few years, many organizations have based their Web applications on Content Management Systems (CMS) because of the advantages they provide to manage their huge amount of digital content. The objectives of these organizations change, for this reason they may see the necessity of migrating their CMS-based Web applications to other CMS platforms meeting better their needs. Thus, we propose a method based on Architecture-Driven Modernization (ADM) to automate this migration process. In this paper we present the toolkit supporting this ADM-based migration method. For space restrictions, we focus on the implementation of two modules of this ADM-based toolkit: i) the ASTM_PHP DSL, a modeling language which allows to model the code of a system implemented in PHP (ASTM_PHP models) and ii) the model-to-model transformation rules which allow to generate KDM models from the information captured in the ASTM_PHP models. To show its usability, we present a case study where a widget listing online users of a CMS-based Web application is migrated from Drupal to Wordpress

Are Gauss-Legendre methods useful in molecular dynamics?

AbstractWe apply the two-stage Gauss-Legendre method to the numerical simulation of liquid argon, a typical problem in molecular dynamics. It is found that the scheme is less efficient than the Verlet/leapfrog method, standard in this sort of simulation

A CUDA Fortran GPU-parallelised hydrodynamic tool for high-resolution and long-term eco-hydraulic modelling

Eco-hydraulic models are wide extended tools to assess physical habitat suitability on aquatic environments. Currently, the application of these tools is limited to short river stretches and steady flow simulations. However, this limitation can be overcome with the application of a high-performance computing technique: graphics processing unit (GPU) computing. R-Iber is a GPU-based hydrodynamic code parallelised in CUDA Fortran that, with the integration of a physical habitat module, performs as an eco-hydraulic numerical tool. R-Iber was validated and applied to real cases by using an optimised instream flow incremental methodology in long river reaches and long-term simulations. R-Iber reduces the computation time considerably, reaching speed-ups of two orders of magnitude compared to traditional computing. R-Iber allows for overcoming the current limitations of the eco-hydraulic tools with the simulation of high-resolution numerical models calculated in a reasonable computation timeframe, which provides a better representation of the hydrodynamics and the physical habitat.The contract of the D.D.-S. is funded by the International Center for Numerical Methods in Engineering (VAC-2021-1).Peer ReviewedPostprint (published version

A sparse approach to astronomical point source detection

In this work we introduce a method for the detection of point sources in images based on al l1-norm sparse approximation. The method is inspired on astronomical image analysis but is directly applicable to any kind of images. We introduce a "top-to-bottom" detection algorithm that can greatly reduce the computational burden of detection if the images are sufficiently well-behaved, in the sense that sources are truly sparse and the chances of source overlapping are small. We test our ideas with simulated faint sources embedded in white noise, comparing the results with the matched filter detector for a number of detection thresholds. We show that the sparse detection approach leads to better results in the ROC curve than the matched filter detector. Moreover, with the sparse approach it is possible to provide an objective stopping criterion for the detection algorithm.The authors acknowledge partial financial support from the Spanish Ministry of Education (MEC) under project ESP2004-07067-C03-01 and from the joint CNR-CSIC research project 2008IT0059. MLC acknowledges an EGEE-III postdoctoral contract at IFCA

Herramienta de Simulación para el dimensionamiento de líneas ferroviarias electrificadas

Las necesidades del mercado del transporte actual exigen un incremento en la velocidad de circulación de los medios de transporte que realizan trayectos de media y larga distancia. Ésto, el compromiso con el medio ambiente y la saturación del espacio aéreo europeo, dejan ver el porqué del éxito actual de las líneas ferroviarias europeas de alta velocidad y en especial para las líneas de alta velocidad españolas con el titánico plan de inversiones que pronostica un futuro prometedor para este sector. Para alcanzar mayores prestaciones de forma más racional, económica y sistemática, se impone la utilización de herramientas de simulación, basadas en modelos matemáticos, que permitan simular el comportamiento del sistema de forma fiable y económica. Los requerimientos de los ferrocarriles hasta ahora permitía apoyarse en diseños veteranos totalmente probados, sin embargo hoy en día las exigencias son tales que para alcanzar el objetivo se deben utilizar herramientas informáticas dedicadas al estudio del comportamiento eléctrico. La herramienta de simulación, por tanto, permite el cálculo de las características técnicas de la electrificación obteniendo las magnitudes físicas necesarias para evaluar un funcionamiento correcto y dimensionar correctamente los elementos que lo componen

Solving Color Reproducibility between Digital Devices: A Robust Approach of Smartphones Color Management for Chemical (Bio)Sensors

In the past twelve years, digital image colorimetry (DIC) on smartphones has acquired great importance as an alternative to the most common analytical techniques. This analysis method is based on fast, low-cost, and easily-accessible technology, which can provide quantitative information about an analyte through the color changes of a digital image. Despite the fact that DIC is very widespread, it is not exempt from a series of problems that are not fully resolved yet, such as variability of the measurements between smartphones, image format in which color information is stored, power distribution of the illuminant used for the measurements, among others. This article proposes a methodology for the standardization and correction of these problems using self-developed software, together with the use of a 3D printed light box. This methodology is applied to three different colorimetric analyses using different types and brands of smartphones, proving that comparable measurements between devices can be achieved. As color can be related to many target analytes, establishing this measurement methodology can lead to new control analysis applicable to diverse sectors such as alimentary, industrial, agrarian, or sanitary

Comparison of numerical models for vibro-acoustic analysis of structural panels in low modal density range engaging air layers

During launch, satellite and their equipment are subjected to loads of random nature and with a wide frequency range. Their vibro-acoustic response is an important issue to be analysed, for example for folded solar arrays and antennas. The main issue at low modal density is the modelling combinations engaging air layers, structures and external fluid. Depending on the modal density different methodologies, as FEM, BEM and SEA should be considered. This work focuses on the analysis of different combinations of the methodologies previously stated used in order to characterise the vibro-acoustic response of two rectangular sandwich structure panels isolated and engaging an air layer between them under a diffuse acoustic field. Focusing on the modelling of air layers, different models are proposed. To illustrate the phenomenology described and studied, experimental results from an acoustic test on an ARA-MKIII solar array in folded configuration are presented along with numerical results

Multi-Oriented Windowed Harmonic Phase Reconstruction for Robust Cardiac Strain Imaging

The purpose of this work is to develop a method for direct estimation of the cardiac strain tensor by extending the harmonic phase reconstruction on tagged magnetic resonance images to obtain more precise and robust measurements. The extension relies on the reconstruction of the local phase of the image by means of the windowed Fourier transform and the acquisition of an overdetermined set of stripe orientations in order to avoid the phase interferences from structures outside the myocardium and the instabilities arising from the application of a gradient operator. Results have shown that increasing the number of acquired orientations provides a signi cant improvement in the reproducibility of the strain measurements and that the acquisition of an extended set of orientations also improves the reproducibility when compared with acquiring repeated samples from a smaller set of orientations. Additionally, biases in local phase estimation when using the original harmonic phase formulation are greatly diminished by the one here proposed. The ideas here presented allow the design of new methods for motion sensitive magnetic resonance imaging, which could simultaneously improve the resolution, robustness and accuracy of motion estimates