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Dynamic optimization problems involving parametric sensitivities, such as optimal experimental design, are typically solved using shooting-based methods, while leveraging numerical integrators with sensitivity computation capabilities. In this paper we present how simultaneous discretization can be employed to solve these problems, by augmenting the dynamic optimization problems with forward sensi
From an airstrip in Saudi Arabia, the CIA launches drones to 'legally' kill Al-Qaida leaders in Yemen. On the North Pole, Russia plants a flag on the seabed to extend legal claim over resources. In Brussels, the European Commission unveils its Emissions Trading System, extending environmental jurisdiction globally over foreign airlines. And at Frankfurt Airport, a father returning from holiday is
Urban theory has historically situated ethnic commercial strips as an organic extension of nearby ethnic residential enclaving. While this is still a useful way to frame such commercial spaces in many cities, this article argues that some areas of this sort function as a marketable branding mechanism (intended or not) to produce nearby residential gentrification. This article explores the influenc
Much has been written on the distinction between vertical and horizontal foreign direct investment. However, most of the empirical literature relies on indirect and aggregated measures only. The aim of this paper is to help fill this gap by examining the differences between German affiliates in the Czech Republic and their mother companies in Germany on the basis of direct evidence on factor requi
When deploying networked computing-based applications, proper resource management of the server-side resources is essential for maintaining quality of service and cost efficiency. The work presented in this thesis is based on six papers, all investigating problems that relate to resource management of server-based systems. Using a queueing system approach we model the performance of a database sys
Human motion analysis in images and video, with its deeply inter-related 2D and 3D inference components, is a central computer vision problem. Yet, there are no studies that reveal how humans perceive other people in images and how accurate they are. In this paper we aim to unveil some of the processing—as well as the levels of accuracy—involved in the 3D perception of people from images by assess
In this work we investigate the decay of the |2p53sP03) state in neon-like ions along the isoelectronic sequence ranging from Z=10 to Z=35. In the absence of a nuclear spin, the magnetic dipole transition to |2p53sP13) is the dominating decay channel. However, for isotopes with a nuclear spin, the interaction between the nuclear magnetic dipole moment and the electronic field introduces a mixing o
We manipulate the information subjects can share on the web concerning socially sensitive actions (public good contribution) and visibility (selfie) to determine the effect on social image, as captured by the price subjects demand for publication. The overall conclusion from the experiment is that theory about social reputation can predict subjects' social-signaling behavior. People take costly de
This article is an in-depth comparative case study of six leadingmanufacturing firms in the Great Zurich region of Switzerland and the Sichuanprovince of China. It employs innovation system approach, institutionalthickness framework and social network analysis to investigate the regionalinstitutions of the two regions and their impact on the connectedness of the casefirms’ internal and external in
The commentary addresses the scope for synergy between climate change policy and social policy in the European Union (EU) from a ‘sustainable welfare’ perspective. The emerging sustainable welfare approach is oriented to the satisfaction of human needs within ecological limits, in an intergenerational and global perspective. While the overall goals of EU climate policy and EU welfare policies larg
We consider an iterative learning control (ILC) approach to machining with industrial robots. The robot and the milling process are modeled using system identification methods with a data-driven approach. Two different model-based ILC algorithms are proposed and subsequently experimentally verified in a milling scenario. The difference between the two approaches is the required sensors for acquiri
The emerging new idea of lane-keeping electronic stability control is investigated. In a critical situation, such as entering a road curve at excessive speed, the optimal behavior may differ from the behavior of traditional ESC, for example, by prioritizing braking over steering response. The important question that naturally arises is if this has a significant effect on safety. The main contribut
Background: The relationship between severe mental illness, poverty and social isolation has been explored in a number of studies. Aim: The purpose of the study was to explore the relationship between financial strain and social isolation. Methods: Sixteen persons with severe mental illness were interviewed about their experience of having a severe mental illness, living in poverty and the effect
Many of the classical approaches to controller synthesis do not scale well for large and complex systems. This is mainly due to computational complexity and the lack of distributed structure in the resulting controllers. It is important that limitations on the information given and processed by sensors and actuators can be incorporated into the design procedure. However, such constraints may great
We consider a real-time system of multiple tasks, each task having a plant to control. The overall quadratic control cost is to be optimized. We exploit the periodicity of the task response time, which corresponds to a periodic delay pattern in the feedback control loop. Perturbed periods are used as a tool to find a finite hyperperiod. We present an analytical procedure to design a periodic linea
This paper presents a straightforward method to convert non-uniformly sampled data to uniform samples in order to be processed by some off-line techniques such as system identification. In such scenarios, we deal with a finite-length measurement sequence. We assume periodic extension of the signals, which results in a simple system of linear equations. Furthermore, we take into account a number of
For low-rank Frobenius-norm approximations of matrices with non-negative entries, it is shown that the Lagrange dual is computable by semi-definite programming. Under certain assumptions the duality gap is zero. Even when the duality gap is non-zero, several new insights are provided.
The present study focuses on a manager’s understanding of leadership and how this guides – or does not guide practice. The paper reports an empirical in-depth study of a middle manager in an international manufacturing company. We link our discussion to both – the mainstream leadership studies, which assume that managers have a solid type of leadership behavior, and authors with a meaning-oriented
