Dynamische Analyse großer, verkoppelter Systeme mit Methoden der Komplexen Netzwerke am Beispiel des Inverse-Response-Verhaltens

Die zunehmende Vernetzung der Energie-, Stoff- und Informationsströme, z. B. innerhalb von Produktionsanlagen, begründet das Interesse an Methoden, welche eine Analyse der Systemeigenschaften von großen und verkoppelten dynamischen Systemen bereits in einem frühen Entwicklungsstadium ermöglichen. Dabei ist das Gesamtsystemverhalten von Interesse, welches sowohl auf der Dynamik der Teilsysteme als auch der Verkopplungen beruht. In der vorliegenden Arbeit wird eine neue Methode zur qualitativen Analyse von Systemen auf Inverse-Response-Verhalten vorgestellt. Der Ansatz nutzt Komplexe Netzwerke zur Modellbeschreibung, wobei diese um Kantengewichte ergänzt werden, welche das dynamische Verhalten des modellierten Systems beschreiben. Der vorgestellte Detektionsalgorithmus vergleicht die Pfade des Graphen zwischen den betrachteten Ein- und Ausgängen. Hierfür werden die aggregierten Kantengewichte der Pfade bestimmt und zur Ermittlung der qualitativen Aussage zum Inverse-Response-Verhalten herangezogen. Der Analyseansatz bietet somit eine einfach anwendbare Alternative zur Auswertung der positiven Nullstellen des Systems, welche auf die notwendige sowie hinreichende Bedingung für das Inverse-Response-Verhalten eines linearen Systems zurückgreift: eine ungerade Anzahl positiver Nullstellen. Das entwickelte Verfahren wurde erfolgreich an einer flexibel konfigurierbaren Prozessinsel der Modellfabrik μPlant des Fachgebiets Mess- und Regelungstechnik der Universität Kassel getestet.

Osteomielitis esternal: utilidad de las pruebas de diagnóstico por imágenes con enfoque en medicina nuclear

Introducción: El diagnóstico de osteomielitis esternal post-esternotomía resulta difícil empleando síntomas clínicos o de laboratorio y las imágenes morfológicas orientan a sospecha más que al diagnóstico. Un diagnóstico precoz ofrece calidad de vida y el mejor tratamiento para reducir una mortalidad que oscila entre 14% y 47%. La gammagrafía con leucocitos marcados ofrece el mejor rendimiento diagnóstico para infecciones y se destaca como el patrón de oro diagnóstico. Objetivo: Identificar el desempeño y utilidad de la gammagrafía con leucocitos autólogos marcados con 99mTc-HMPAO en los estudios realizados para la evaluación de osteomielitis esternal. Materiales y métodos: Se realizó un estudio descriptivo, retrospectivo de prueba diagnóstica en la Fundación Cardioinfantil de Bogotá entre enero/2010 y mayo/2015 evaluando gammagrafías con leucocitos marcados ante la sospecha de osteomielitis posterior a esternotomía. Resultados: Se evaluaron 52 pacientes, en los que la gammagrafía con leucocitos mostró 23 pacientes (44,2%) con osteomielitis esternal, logrando una sensibilidad y especificidad del 88,46% y 100% respectivamente. El valor predictivo positivo fue de 100%, y el valor predictivo negativo fue de 89,66%. El impacto de una prueba negativa no modificó el manejo médico inicial en el 93% de los casos mientras que una prueba positiva lo modificó en el 83%. Conclusiones: La gammagrafía con leucocitos autólogos radiomarcados con 99mTc-HMPAO continúa siendo el patrón de oro de referencia no invasiva para el diagnóstico de osteomielitis, y en el caso de osteomielitis esternal se convierte en la prueba de elección pertinente en la selección de pacientes que ameritan una re-intervención quirúrgica.

Boundary value problems for the N-wave interaction equations

We consider boundary value problems for the N-wave interaction equations in one and two space dimensions, posed for x [greater-or-equal, slanted] 0 and x,y [greater-or-equal, slanted] 0, respectively. Following the recent work of Fokas, we develop an inverse scattering formalism to solve these problems by considering the simultaneous spectral analysis of the two ordinary differential equations in the associated Lax pair. The solution of the boundary value problems is obtained through the solution of a local Riemann–Hilbert problem in the one-dimensional case, and a nonlocal Riemann–Hilbert problem in the two-dimensional case.

Re-engineering construction: going against the grain

An overtly critical perspective on 're-engineering construction' is presented. It is contended that re-engineering is impossible to define in terms of its substantive content and is best understood as a rhetorical label. In recent years, the language of re-engineering has heavily shaped the construction research agenda. The declared goals are to lower costs and improve value for the customer. The discourse is persuasive because it reflects the ideology of the 'enterprise culture' and the associated rhetoric of customer responsiveness. Re-engineering is especially attractive to the construction industry because it reflects and reinforces the existing dominant way of thinking. The overriding tendency is to reduce organizational complexities to a mechanistic quest for efficiency. Labour is treated as a commodity. Within this context, the objectives of re-engineering become 'common sense'. Knowledge becomes subordinate to the dominant ideology of neo-liberalism. The accepted research agenda for re-engineering construction exacerbates the industry's problems and directly contributes to the casualization of the workforce. The continued adherence to machine metaphors by the construction industry's top management has directly contributed to the 'bad attitudes' and 'adversarial culture' that they repeatedly decry. Supposedly neutral topics such as pre-assembly, partnering, supply chain management and lean thinking serve only to justify the shift towards bogus labour-only subcontracting and the associated reduction of employment rights. The continued casualization of the workforce raises real questions about the industry's future capacity to deliver high-quality construction. In order to appear 'relevant' to the needs of industry, it seems that the research community is doomed to perpetuate this regressive cycle.

Innovative approach to building systems integration problems: Using systems theory, technological forecasting and scenario planning

Building services are worth about 2% GDP and are essential for the effective and efficient operations of the building. It is increasingly recognised that the value of a building is related to the way it supports the client organisation’s ongoing business operations. Building services are central to the functional performance of buildings and provide the necessary conditions for health, well-being, safety and security of the occupants. They frequently comprise several technologically distinct sub-systems and their design and construction requires the involvement of numerous disciplines and trades. Designers and contractors working on the same project are frequently employed by different companies. Materials and equipment is supplied by a diverse range of manufacturers. Facilities managers are responsible for operation of the building service in use. The coordination between these participants is crucially important to achieve optimum performance, but too often is neglected. This leaves room for serious faults. The need for effective integration is important. Modern technology offers increasing opportunities for integrated personal-control systems for lighting, ventilation and security as well as interoperability between systems. Opportunities for a new mode of systems integration are provided by the emergence of PFI/PPP procurements frameworks. This paper attempts to establish how systems integration can be achieved in the process of designing, constructing and operating building services. The essence of the paper therefore is to envisage the emergent organisational responses to the realisation of building services as an interactive systems network.

Solving optimal control problems with state constraints using nonlinear programming and simulation tools

This paper illustrates how nonlinear programming and simulation tools, which are available in packages such as MATLAB and SIMULINK, can easily be used to solve optimal control problems with state- and/or input-dependent inequality constraints. The method presented is illustrated with a model of a single-link manipulator. The method is suitable to be taught to advanced undergraduate and Master's level students in control engineering.

Monte Carlo methods for matrix computations on the grid

Many scientific and engineering applications involve inverting large matrices or solving systems of linear algebraic equations. Solving these problems with proven algorithms for direct methods can take very long to compute, as they depend on the size of the matrix. The computational complexity of the stochastic Monte Carlo methods depends only on the number of chains and the length of those chains. The computing power needed by inherently parallel Monte Carlo methods can be satisfied very efficiently by distributed computing technologies such as Grid computing. In this paper we show how a load balanced Monte Carlo method for computing the inverse of a dense matrix can be constructed, show how the method can be implemented on the Grid, and demonstrate how efficiently the method scales on multiple processors. (C) 2007 Elsevier B.V. All rights reserved.

Boundary value problems for the elliptic sine-Gordon equation in a semi-strip

We study boundary value problems posed in a semistrip for the elliptic sine-Gordon equation, which is the paradigm of an elliptic integrable PDE in two variables. We use the method introduced by one of the authors, which provides a substantial generalization of the inverse scattering transform and can be used for the analysis of boundary as opposed to initial-value problems. We first express the solution in terms of a 2 by 2 matrix Riemann-Hilbert problem whose \jump matrix" depends on both the Dirichlet and the Neumann boundary values. For a well posed problem one of these boundary values is an unknown function. This unknown function is characterised in terms of the so-called global relation, but in general this characterisation is nonlinear. We then concentrate on the case that the prescribed boundary conditions are zero along the unbounded sides of a semistrip and constant along the bounded side. This corresponds to a case of the so-called linearisable boundary conditions, however a major difficulty for this problem is the existence of non-integrable singularities of the function q_y at the two corners of the semistrip; these singularities are generated by the discontinuities of the boundary condition at these corners. Motivated by the recent solution of the analogous problem for the modified Helmholtz equation, we introduce an appropriate regularisation which overcomes this difficulty. Furthermore, by mapping the basic Riemann-Hilbert problem to an equivalent modified Riemann-Hilbert problem, we show that the solution can be expressed in terms of a 2 by 2 matrix Riemann-Hilbert problem whose jump matrix depends explicitly on the width of the semistrip L, on the constant value d of the solution along the bounded side, and on the residues at the given poles of a certain spectral function denoted by h. The determination of the function h remains open.

‘What Price Solidarity? Nuclear Dependence in NATO, 1949-1967’

Archive-based study of the dependence of NATO member states on the USA as nuclear guarantor, and the problems this entailed.

Geo-Engineering to Confine Climate Change: Is it at all Feasible?

Paul Crutzen (2006) has suggested a research initiative to consider whether it would be feasible to artificially enhance the albedo of the planet Earth to counteract greenhouse warming. The enhancement of albedo would be achieved by intentionally injecting sulfur into the stratosphere. The rational for proposing the experiment is the observed cooling of the atmosphere following the recent major volcanic eruptions by El Chichon in 1984 and Mount Pinatubo in 1991 (Hansen et al., 1992). Although I am principally not against a research initiative to study such a potential experiment, I do have important reservations concerning its general feasibility. And its potential feasibility, I believe, must be the key motivation for embarking on such a study. Here I will bring up three major issues, which must be more thoroughly understood before any geo-engineering of climate could be considered, if at all. The three issues are (i) the lack of accuracy in climate prediction, (ii) the huge difference in timescale between the effect of greenhouse gases and the effect of aerosols and (iii) serious environmental problems which may be caused by high carbon dioxide concentration irrespective of the warming of the climate.

Advances in the study of boundary value problems for nonlinear integrable PDEs

In this review I summarise some of the most significant advances of the last decade in the analysis and solution of boundary value problems for integrable partial differential equations in two independent variables. These equations arise widely in mathematical physics, and in order to model realistic applications, it is essential to consider bounded domain and inhomogeneous boundary conditions. I focus specifically on a general and widely applicable approach, usually referred to as the Unified Transform or Fokas Transform, that provides a substantial generalisation of the classical Inverse Scattering Transform. This approach preserves the conceptual efficiency and aesthetic appeal of the more classical transform approaches, but presents a distinctive and important difference. While the Inverse Scattering Transform follows the "separation of variables" philosophy, albeit in a nonlinear setting, the Unified Transform is a based on the idea of synthesis, rather than separation, of variables. I will outline the main ideas in the case of linear evolution equations, and then illustrate their generalisation to certain nonlinear cases of particular significance.