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The main purpose of this thesis is to clarify what the term flexicurity is and what it entails. Flexicurity is a labour market policy model that has the goal of creating more and better jobs. In itself, flexicurity is a political tool and is not a legal term. I will aim at clarifying how this political model has been transformed into legislation and how it can assist the labour market in different
Det huvudsakliga syftet med denna uppsats har varit att undersöka och utreda innebörden av generalklausulerna i 7:47 och 8:41 1 st. ABL. För att underlätta denna analys har fokus riktats på att undersöka vad som utgör en otillbörlig fördel enligt generalklausulerna, att se huruvida en företagsekonomiskt riktig eller försvarlig åtgärd kan ses som otillbörlig, samt även huruvida generalklausulerna kThe main purpose of this thesis has been to examine the meaning of the general clauses in 7:47 and 8:41 1st sentence of the Swedish company act. To fulfil this purpose, focus has been aimed at investigating what constitutes an unfair advantage according to the general clauses, to see whether an economically correct or justifiable measure can be seen as unfair, as well as seeing whether the general
Syfte: Syftet med kandidatuppsatsen är att beskriva och undersöka hur nedskrivningsprövning av goodwill i enlighet med IAS 36 har gått till och redovisats i fem goodwillintensiva börsnoterade koncerner under perioden 2005 - 2013. Metod: Uppsatsen är utformad som en fallstudie med kvalitativ ansats. Data¬insamlingen består uteslutande av sekundärdata, med ett stort fokus på objektens årsredovisningPurpose: The purpose of the thesis is to describe and investigate how five public groups with significant goodwill have accounted their goodwill impairment testing in accordance with IAS 36 standard during the time period of 2005 - 2013. Methodology: The thesis is shaped as a case study with a qualitative approach. The collection of data consists solely of secondary data collected through annual r
Joint time-frequency representations are important tools when estimating the instantaneous frequency. The widely used spectrogram is known to have poor energy localisation, which the reassignment method improves. However, the reassignment method is sensitive to noise. In this paper we present a multitaper reassigned spectrogram (MTRS) that is robust to noise and tailored to short duration transien
The underwater localization of a broadband target in the presence of strong interference and noise has been widely investigated. A novel clutter suppression approach based on oblique projections is proposed, exploiting the prior information of the expected target response. The method uses a generalised likelihood ratio formulation to select the oblique projection best matching the measured data. T
European Spallation Source ERIC (ESS ERIC) is a legal entity established by the European Commission based on a European Union regulation (the ERIC Regulation). It is co-hosted by Sweden and Denmark and has its statutory seat in Lund, Sweden. This means that, according to the ERIC Regulation, ESS ERIC is a legal subject of both EU law and Swedish national law. In terms of hierarchical interplay bet
This paper introduces the first minimal solvers that jointly estimate lens distortion and affine rectification from repetitions of rigidly-transformed coplanar local features. The proposed solvers incorporate lens distortion into the camera model and extend accurate rectification to wide-angle images that contain nearly any type of coplanar repeated content. We demonstrate a principled approach to
Speaker localization using microphone arrays depends on accurate time delay estimation techniques. For decades, methods based on the generalized cross correlation with phase transform (GCC-PHAT) have been widely adopted for this purpose. Recently, the GCC-PHAT has also been used to provide input features to neural networks in order to remove the effects of noise and reverberation, but at the cost
Cars are nowadays being programmed to learn how to drive themselves. While autonomous cars are often portrayed as the next step in the auto-motive industry, they have already begun roaming the streets in some US cities. Building on a growing body of critical scholarship on the development of autonomous cars, we explore what machine learning is in open environments like cities by juxtaposing this t
We consider the statistical sparse jump model, a recently developed, robust and interpretable regime switching model, to identify features that drive the return dynamics of the largest cryptocurrencies. The approach simultaneously performs feature selection, parameter estimation, and state classification. Our large number of candidate features comprises cryptocurrency, sentiment, and financial mar
Freight transportation security concerns both public and private sector institutions, yet their interests are often misaligned, resulting in tensions and trade-offs between performance criteria. Previous research overlooks the connection of public and private interests and provides a fragmented view of the institutions that impact operational conditions and performance within freight transportatioFreight transportation security concerns both public and private sector institutions, yet their interests are often misaligned, resulting in tensions and trade-offs between performance criteria. Previous research overlooks the connection of public and private interests and provides a fragmented view of the institutions that impact operational conditions and performance within freight transportatio
Asphalt is made of a mixture of stones of different sizes and a binder called bitumen, the size distribution of the stones is determined by the recipe of the asphalt. One quality check of asphalt is to see if the real size distribution of asphalt samples is consistent with the recipe. This is usually done by first extracting the binder using methylenchloride and the sieving the stones and see how
Ultrasound imaging of the heart is a non-invasive method widely used for different applications. One of them is to measure the blood volume in the left ventricle at different stages of the heart cycle. This demands a proper segmentation of the left ventricle and a (semi-) automated method would decrease intra-variability as well as workload. This paper presents a semi-automated segmentation method t
The field of high dynamic range imaging addresses the problem of capturing and displaying the large range of luminance levels found in the world, using devices with limited dynamic range. In this paper we present a novel tone mapping algorithm that is based on $K$-means clustering. Using dynamic programming we are able to, not only solve the clustering problem efficiently, but also find the global
Indisputably Normalized Cuts is one of the most popular segmentation algorithms in pattern recognition and computer vision. It has been applied to a wide range of segmentation tasks with great success. A number of extensions to this approach have also been proposed, including ones that can deal with multiple classes or that can incorporate a priori information in the form of grouping constraints.
It is commonly believed that higher order smoothness should be modeled using higher order interactions. For example, 2nd order derivatives for deformable (active) contours are represented by triple cliques. Similarly, the 2nd order regularization methods in stereo predominantly use MRF models with scalar (1D) disparity labels and triple clique interactions. In this paper we advocate a largely over
In the study of motor systems it is often necessary to track the movements of an experimental animal in great detail to allow for interpretation of recorded brain signals corresponding to different control signals. This task becomes increasingly difficult when analyzing complex compound movements in freely moving animals. One example of a complex motor behavior that can be studied in rodents is th
In this paper we direct our attention to the problem of discretization effects in intensity transformations of images. We propose to use the Wasserstein metric (also known as the Earth mover distance) to bootstrap the transformation process. The Wasserstein metric gives a mapping between gray levels that we use to direct our image mapping. In order to spatially regularize the image mapping we appl
