This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

There exists a great need among companies and other organizations to be able to visualize statistics. It?s also increasingly common to ask for web-based solutions for increased flexibility and accessibility for users. This paper describes how large amounts of geovisual data, for a large number of regions, can be visualized in an interactive and well-presented manner. The paper let?s you walk through two application scenarios, developed in a Flash environment, using the GeoViz component library for visualization. The first application has been developed for Statistics Sweden (SCB), to give a solution on how to visualize statistics for Sweden?s zip code regions.

The end of the 20th century brought a dramatic change to the music industry. The then predominant models for music consumption and sales were forever altered when the possibility to distribute music over the internet emerged. It has now become evident that it is virtually impossible to stop the distribution of digital music files. Music has turned into a non-excludable and non-rival product, which in economic terms is described as a public good. Public goods theory serves as a starting point for this study, which explores some of the factors that might explain why some consumers pay for music, while others choose to download music illegally.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

Difficult calvings and stillborn calves are costly for the producer and lowering these frequencies can decrease the costs for the dairy operation. Each calving in the herd is registered by the farmer and stored in a central database. The information is used to monitor the level of calving-difficulties and stillborn calves in the herd and nationally. Monitoring of these registrations is important to detect possible changes. Breeding-value prediction for calving traits is based on the calving information in the database.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

Bakgrund: Revisionsberättelsen är den rapport som intressenter kan ta del av. Det är revisorns uttalande som har högt värde då det är revisorn som är informationsmedlare mellan parterna. Tolkningar som revisorn gör, är grund för andras beslut. Tidigare forskning visar att en revisionsberättelse inte signalerar tillräckligt om företagets fortsatta drift, samt att det var endast 20-27% som erhållit orena revisionsberättelser innan företagen inlett konkurs. De olika anmärkningarna i orena revisionsberättelsen har olika allvarlighetsgrader enligt andra studier.Syfte: Vi vill med denna studie undersöka om aktiebolagens sist erhållna orena revisionsberättelser, har ett statistiskt signifikant samband med aktiebolagens inledda konkurs under året 2010.Teori: De teorier som har använts i denna studie är agentteorin och intressentmodellen.

Objective: In recent years there has been an increasing interest within the clinical (medical) science in measuring people?s health. When estimating quality of life, present practise is to use the EQ-5D questionnaire and an index which weighs the different questions. The question is what happens if the individuals estimate there own health, would it differ from the public preferences? The aim is to make a new prediction model based on the opinion of patients and compare it to the present model based on public preferences.Method: A sample of 362 patients with unstable coronary artery disease from the Frisc II trial, valued their quality of life in the acute phase and after 3, 6 and 12 months.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

This master thesis investigates the possibilities of using GPS-information from trains to create a model of a railway system, register the routes of the the trains and predict how the trains will travel in the railway system.The thesis work was done at Icomera AB which is a company that specializes in internet connected vehicle solutions.We describe how the GPS-information is sent from the trains in the form of samples and investigate limitations and possibilities with the available information. About three million samples from 83 SJ-trains were analysed and the samples were filtered with the intent of removing erroneous information. We here found that about 30 % of the samples from the trains were unreliable.A solution for how the samples from the trains can be used to create a model of the railway system traveled by the trains is presented. We use a large set of historical samples and use cluster nodes and Hermite curves to generate a graph that represent the railway system with stations, nodes and the railway itself. A fully automatic solution is not presented since it did not fit into the time frame of the thesis; instead we created a simple tool which can be used to manually finish the model of the railway system.Furthermore, we describe how the railway system and the samples from the train can be used to register the routes the trains travel.

The financial crisis in 2008, effected companies around the globe and forced them to change their operational strategies, in order to survive. Companies with international links needed to consider external effects and due to that adapt their strategies on a global level. Demands for goods and service were decreasing and companies could only manage the cost during a recession to not face bankruptcy. Organisations need to reconsider their optimal strategy as this will determine their future outcome when managing a crisis as the one in 2008. British Airways - Air Cargo is a global company with an international network which serves about 80 countries, with about 200 destinations.

Datum: 2009-06-02Nivå: Magisteruppsats i ekonomistyrning, 15 hpFörfattare: Charlotta Lind och Martin SlobergTitel: Ditt företag kan inte förutse konkurs -kan Z-score?Handledare: Esbjörn SegelodProblem: Våra forskningsfrågor är:Går det att förutse konkurs tre, fyra respektive fem år innan          konkursbeslutet?Vilka av den senaste Z-scoremodellens fyra nyckeltal är viktigast vid           prognostisering av konkurs?Syfte: Att testa i vad mån Z-scoremodellen kan användas för att förutse konkurserbland icke börsnoterade, icke tillverkande företag tre, fyra respektive fem årinnan konkurs; samt att undersöka vilka av denna modells inbördes nyckeltalsom är viktigast vid predicering av konkurser.Metod: Vi har genom kvantitativ metod analyserat årsredovisningar från 51 företagsom gått i konkurs 2008, dessa utgjorde vår huvudundersökningsgrupp och 29slumpmässigt utvalda företag, vilka utgjorde vår kontrollgrupp. Analysenskedde genom användandet av Altmans vidareutvecklade modell för attförutspå konkurser från år 1995. Totalt analyserades på detta sätt 240årsredovisningar.Slutsats: Modellens träffsäkerhet för de undersökta konkurs företagen var2003 45,09 %2004 47,05 %2005 54,90 %Vid hypotesprövning kunde vi endast för år 2005 påvisa samband förföretagsklassificeringsfrekvenser mellan konkursföretagen ochkontrollgruppen, detta gör att modellens prognostisering bör anses alltförosäker tidigare än tre år innan konkurs. Mot bakgrund till de påvisadeträffsäkerheterna för åren och hypotesprövningarna anser vi att modellenendast bör användas i kombination med andra analysformer .Sammanfattningsvis är Z-scoremodellens prognostiseringsförmåga för svag attsjälvständigt förutse konkurser.Sökord: Konkurs, Z-score.

The objective of this essay is, from the golf perspective including the golf courses' physical attributes, golf club management, members of the golf club and golf course designers, to explore possibilities for making existing golf courses more multifunctional. The purpose of this is to increase the understanding for golf courses' role as part of the landscape and comprehension regarding possible opportunities around them to exploit and develop.The increased pressure of population in peri-urban areas has resulted in a greater need for accessible recreation, particularly in the isolated farmland. As a result, land is sometimes used against landowners' will, which is a deficiency that is the basis for many conflicts between farmers and landowners.In the current situation, there is a negative trend in golf with reduced interest and fewer golfers than in the past. As a result, many of Sweden's golf courses have financial problems and are therefore trying to find new ways to avoid bankruptcy. Sweden's existing golf courses occupy about 30 000 hectares of land, of which a very large percentage are located in peri-urban areas.

The aim of this study was to examine if the predictions of the herbage quality in the software Grazemore Decision Support System (DSS) gives a reliable ground for milk production in the north of Scandinavia. Pasture samples from one research farm (Umeå) and one organic farm (Nordingrå) was analysed on crude protein and organic matter digestibility. The results were statistically compared to the predicted values. Measured and predicted herbage mass was compared and a control if the predictions of milk production improved if the predicted input were replaced by the values from the analysis, was made. The concentration of crude protein was underestimated by the model on both farms and the relationship between actual and predicted values was poor. Mean Prediction Error (MPE) was 24% and 31% respectively.