There are two main threads of this thesis, namely, an unknown (unmeasurable) input reconstruction and fault detection and diagnosis. The developed methods are in the form of parity equations, i.e. finite impulse response filters of the available input and output measurements. In the first thread the design of parity equations for the purpose of an unknown input reconstruction of linear, time-invariant, discrete-time, stochastic systems is taken into consideration. An underlying assumption is that both measurable system inputs as well as the outputs can be subjected to noise, which leads to an errors-in-variables framework. The main contribution of the scheme is accommodation of the Lagrange multiplier method in order to minimise the influence of the noise on the unknown input estimate. Two potential applications of the novel input reconstruction method are proposed, which are a control enhancement of a hot strip steel rolling mill and an estimation of a pollutant level in a river. Furthermore, initial research is conducted in the field of the unknown input recon- struction for a class of nonlinear systems, namely, Hammerstein-Wiener systems, where a linear dynamic block is preceded and followed by a static nonlinear function. Many man-made as well as naturally occurring systems can be accurately described using Hammerstein-Wiener models. However, it is considered that not much attention has been paid to Hammerstein-Wiener systems in the errors-in-variables framework and in this thesis it is aimed to narrow this gap. The second thread considers a problem of robust (disturbance decoupled) fault de- tection as well as fault isolation and identification. Unmeasurable external stimuli, parameter variations or discrepancies between the system and the model act as distur- bances, which can obstruct the fault detection process and lead to false alarms. Thus, a fault detection filter needs to be decoupled from the disturbances. In this thesis the right eigenstructure assignment method used for the robust fault detection filter design is extended to systems with unstable invariant zeros. Another contribution re- gards the design of robust parity equations of any arbitrary order using both left and right eigenstructure assignment. Furthermore, a parity equation-based fault isolation and identification filter is designed which provides an estimate of the fault. A simple method for the calculation of thresholds whose violation indicates a fault occurrence is also proposed for the errors-in-variables framework.

International Telemetering Conference Proceedings / October 23-26, 2000 / Town & Country Hotel and Conference Center, San Diego, California / There is an increasing demand for practical and powerful navigation system to lead people from one place to another quickly and rightly. The introduction of a new embedded operating system, Windows CE, allows us to design a compact, low-cost, efficient autonomous vehicle location and navigation system. This paper discusses the advantages of Windows CE, demonstrates the possibility of building an AVLNS based on it. Then a realization scheme of hardware platform and navigation software is presented.

published_or_final_version / Environmental Management / Master / Master of Science in Environmental Management

published_or_final_version / Urban Planning / Master / Master of Science in Urban Planning

published_or_final_version / abstract / Architecture / Doctoral / Doctor of Philosophy

A more accurate and flexible grid analysis is achieved through an adaptive and dynamic calculation of line parameters. This is needed for future smart grid implementation. The primary objective of this thesis is to analyze the calculation of transmission line parameters. The impact certain assumptions have on the accuracy of line parameters and fault location algorithms are evaluated. In particular, the impact of the grounded shield wire assumption on the accuracy of fault location algorithms is analyzed. This implies that the impedance of towers be taken into consideration, rather than the simplification of a direct connection of the earth wire to ground. Secondly, the phenomenon of skin-effect is analyzed and evaluated in regards to a more accurate representation of line parameters and a minimization of parameter inaccuracy. / text

<p>In every market, competition is a vital ingredient for any working market economy. Large stores like IKEA, OnOff and El-Giganten are often positioned in locations near each other. Shopping areas like Gekås have proven to have large attraction power towards the customers. In down-town shopping areas it is common that large stores take advantage of each other’s capabilities to invoke customers’ interest. By doing so, businesses work together to create a large customer base.</p><p>The purpose of this paper is to determine how owners and managers of medium sized retail stores should choose location for their shop.</p><p>Both a qualitative and quantitative approach were used in this thesis; the qualitative approach was used for conducting interviews with 6 people involved in running the stores and municipality. This was done to collect information from actors that had the experience and knowledge about the subject of the thesis. The quantitative approach involved a survey done upon shopping habits of consumers in the same area. The reason for conducting both these researches was to diminish the biased answers that we would have got from conducting the research from one group only. By asking the store managers/owner and customers, as well as a representative of the municipality, we were able to provide a complete perspective on the situation.</p><p>Our findings showed that there were some major differences between a down-town shopping area and a shopping mall. It also became clear that the preferences and capabilities of the stores were important for selecting locations. Consumer preference on where to go shop was showed to be almost the same for A6 and down-town with a slight advantage towards A6. Still, the requirements on opening a store in a shopping mall oppose down-town was different.</p>

No description available.

This thesis presents the design and evaluation of the location of a cell phone user, to enable more effective performance monitoring. One of the end-uses I propose is in emergency management, by means of a framework that distributes its functionality between establishing data-set characteristics that are relevant to the problem and a visual tool to evaluate resource-scheduling proposals. Manikarnika is a modular framework, which finds translation in a prototype for Reverse 111. The first steps in the process were to establish whether the parameters I hypothesized as useful, indeed were. Using a statistically significant amount of traces, obtained from real calls placed on the network, the utility of the location metric was established. In order to investigate utilizing a second metric of reputation, a benchmark for evaluating ideas from Social Networks research was proposed, in order to move from arbitrary testing to a more systematic environment. This dissertation details the measurement, design and evaluation of an end-to-end and modular framework for Emergency Management, where the functionality is distributed in order to easily incorporate the changing parameters of sources of information, emergency events, resource requirements of these events and identifying callers that might be able to provide better insight into a situation that is essentially very dynamic. The chasm between research proposals for various end-uses and the application of the same to real life is one that I have tried to bridge in my work. By incorporating pieces from core Electrical Engineering measurements and simulation and extending the use of what was originally a tool built for training Emergency Responders to analyze various resource scheduling agents, which take into account a diversity of administrative domains, I lay the ground work for one possible solution, Reverse 111, which proposes the use of proactive crowd-sourcing for emergency response, with easy extensions to commercial location-based applications.

The contribution of this dissertation is the development of a completely new and accurate algorithm SFSSE for synchronous fault simulation of sequential circuits. The distinctive difference between SFSSE (Synchronous Fault Simulation by Surrogate with Exceptions) and similar approaches for fault simulation in combinational logic circuits is that SFSSE is capable of handling faults stored in more than one memory elements and the reconvergence over time of the stored fault effect with the original fault. The experimental result shows a significant improvement for SFSSE by comparing its execution time to that of parallel fault simulation. After a stored fault list is established during one clock period, all paths from the output of that memory element to the primary outputs might be blocked in subsequent clock periods. A fault is usually propagated through many paths in various subnetworks over several clock periods, and it is detected when only one of these paths reaches a primary output. A new idea for efficiency is suggested in the last chapter to avoid the unproductive simulation activity. In that approach the waste of simulation time is avoided by overlapping the simulation of multiple clock periods.