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A Sequential Control Language for Industrial Automation

Current market trends for industrial automation are the need for customizable production, shorter time to market, and powerful global competitive pressure. Based on these trends two challenges have been identified: 1) flexible production systems and 2) integration and utilization of devices and software. Applications from both process automation, manufacturing, and robotics have been considered.

Static Analysis and Transformation of Dataflow Multimedia Applications

An approach for merging statically schedulable subr egions in dataflow models is pr esented. The approach combines abstr act int erpr etation, loop analysis, and static scheduling of cyclo-static dataflow networ ks. The approach has been implemented in a Java-based tool that per forms automatic classification of dataflow act or s, generat ion of stat ic schedules using constr aint programming, and

A Convex Approach to Path Tracking with Obstacle Avoidance for Pseudo-Omnidirectional Vehicles

This report addresses the related problems of trajectory generation and time-optimal path tracking with online obstacle avoidance. We consider the class of four-wheeled vehicles with independent steering and driving on each wheel, also referred to as pseudo-omnidirectional vehicles. Appropriate approximations of the dynamic model enable a convex reformulation of the path-tracking problem. Using th

Utredning i barnets bästa? En rättssäkerhetsstudie av utredningar av familjehem

Detta arbete behandlar medgivandeutredningen (senare benämnd utredningen) av familjehem ur ett rättssäkerhetsperspektiv. Utredningar av familjehem görs utifrån bestämmelser i Socialtjänstlagen (SoL) och det är denna lag som utgör grunden för utredningarna. I arbetet görs därför först en beskrivning och kort genomgång av vad som historiskt föregått den lagstiftning som resulterat i SoL och den ramlThe investigation of the foster home – a study of the rule of law and the best interest of the child This essay deals with the investigation of the foster home and the requirements that the Social Services Act (hereafter referred to as SoL) holds for this. The issue is dealt with in the perspective of the rule of law of the requirements in the investigation, and the best interest of the child. T

Locking Pin Project, Part II

This Master Thesis project is performed at Tetra Pak in Modena, Italy. The overall objective of the overall Locking Pin project as this thesis project is a part of, is to understand the root cause of a failing locking pin. The locking pin is located in a filling machine and failures due to fatigue. The function of the locking pin is to bind up the filling pipe to a pressure flange. The locking pin

Detaljerad energikartläggning för Perstorp Specialty Chemicals AB

I en värld där våra energiresurser snabbt håller på att förbrukas och där miljöpåverkan blir allt större så är det idag viktigare än någonsin för dagens företag att anpassa sig till framtidens energieffektivare samhälle. Att finna energieffektiviserande åtgärder i det dagliga livet kan tyckas enkelt, det är ju bara att släcka lampan och dra ut mobilladdaren efter användning! Att hitta dessa effeThe thesis was conducted due to new laws from the energy agency. The task of this master thesis was to develop a methodology for energy audits, find energy efficiency measures, and then use the methodology to create a detailed mapping of the formalin-, formic acid- and y-polyol plants. The master thesis also resulted in a comprehensive description of the company’s total energy use. To be able to f

Identification of Individualized Empirical Models of Carbohydrate and Insulin Effects on T1DM Blood Glucose Dynamics

One of the main limiting factors in improving glucose control for type 1 diabetes mellitus (T1DM) subjects is the lack of a precise description of meal and insulin intake effects on blood glucose. Knowing the magnitude and duration of such effects would be useful not only for patients and physicians, but also for the development of a controller targeting glycaemia regulation. Therefore, in this pa

Parallel and Distributed Vision Algorithms Using Dual Decomposition

We investigate dual decomposition approaches for optimization problems arising in low-level vision. Dual decomposition can be used to parallelize existing algorithms, reduce memory requirements and to obtain approximate solutions of hard problems. An extensive set of experiments are performed for a variety of application problems including graph cut segmentation, curvature regularization and more

Aspiration Learning in Coordination Games

We consider the problem of distributed convergence to efficient outcomes in coordination games through dynamics based on aspiration learning. Our first contribution is the characterization of the asymptotic behavior of the induced Markov chain of the iterated process in terms of an equivalent finite-state Markov chain. We then characterize explicitly the behavior of the proposed aspiration learnin

Improved modelling of atmospheric ammonia over Denmark using the coupled modelling system DAMOS

A local-scale Gaussian dispersion-deposition model (OML-DEP) has been coupled to a regional chemistry-transport model (DEHM with a resolution of approximately 6 km x 6 km over Denmark) in the Danish Ammonia Modelling System, DAMOS. Thereby, it has been possible to model the distribution of ammonia concentrations and depositions on a spatial resolution down to 400 m x 400 m for selected areas in De

Variations in tropospheric submicron particle size distributions across the European continent 2008-2009

Cluster analysis of particle number size distributions from background sites across Europe is presented. This generated a total of nine clusters of particle size distributions which could be further combined into two main groups, namely: a south-to-north category (four clusters) and a west-to-east category (five clusters). The first group was identified as most frequently being detected inside and

A Linear Framework for Region-Based Image Segmentation and Inpainting Involving Curvature Penalization

We present the first method to handle curvature regularity in region-based image segmentation and inpainting that is independent of initialization. To this end we start from a new formulation of length-based optimization schemes, based on surface continuation constraints, and discuss the connections to existing schemes. The formulation is based on a cell complex and considers basic regions and bou

A variational formulation for interpolation of seismic traces with derivative information

We construct a variational formulation for the problem of interpolating seismic data in the case of missing traces. We assume that we have derivative information available at the traces. The variational problem is essentially the minimization of the integral over the smallest eigenvalue of the structure tensor associated with the interpolated data. This has the physical meaning of penalizing the l

Top-down isoprene emissions over tropical South America inferred from SCIAMACHY and OMI formaldehyde columns

We use formaldehyde (HCHO) vertical column measurements from the Scanning Imaging Absorption spectrometer for Atmospheric Chartography (SCIAMACHY) and Ozone Monitoring Instrument (OMI), and a nested-grid version of the GEOS-Chem chemistry transport model, to infer an ensemble of top-down isoprene emission estimates from tropical South America during 2006, using different model configurations and a

Data analysis tools for uncertainty quantification of inverse problems

We present exploratory data analysis methods to assess inversion estimates using examples based on l(2)- and l(1)-regularization. These methods can be used to reveal the presence of systematic errors such as bias and discretization effects, or to validate assumptions made on the statistical model used in the analysis. The methods include bounds on the performance of randomized estimators of a larg