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 thesis is made by Carl Persson and Alejandro Saavedra for Gryaab. Gryaab is Gothenburg?s water processing plant and produces about 60 GWh biogas annually with a flow around 1150 Nm3/h. Gryaab wants to research their possibilities to become independent with electrical energy and the possibilities to enrich, upgrade biogas. The use of methane rich gases like biogas and natural gas is today low in Sweden compared to major parts of the world.

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.

In Sweden plans to build high speed railways have been around since the early 1990s and the planshave developed to be more precised since. The future Swedish high-speed rail network is supposedto consist of two lines. Götalandsbanan; from Stockholm to Gothenburg, and Europabanan fromJönköping through the Öresund Region to Hamburg.The description of the aim to build high-speed railways in Sweden has in former reports always beento achieve rapid passenger traffic between big Scandinavian cities and Europe. There are almostnothing mentioned about the possibilities of high-speed transports of cargo on these railways. Thisstudy aims to clarify the freight transport market for Götalandsbanan and Europabanan.Today there is only one transport system with high-speed freight trains.

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 aim and purpose with this essay is to identify the natural conditions of the New Orleans City region, and to establish an understanding of the disastrous event of Hurricane Katrina in August 2005. Who lived in this area and how did this event affect the outcome of the disaster?The theory is based on two Swedish human geographers Torsten Hägerstrand and Thomas Lundén, and their theories on regional geography and political geography, also regarded as ?geopolitics?. Regional and Political Geography are explained as the relation between state and territory, power over the territory and the variables that affect the relations on different levels such as; economy, culture, technology, demography and communication.The author decided to use the quantitative method in the process of research, the essay underwent an overall analyzes of the media settings, articles, written literature and documentaries. The author has been very critical to the material and data that was presented by the American authorities, media and non governmental organisations.New Orleans City?s topography is unique in the matter that the city is constructed on a delta area, the Mississippi River, Missouri and Ohio River systems are all connected in New Orleans.

1. Reaction on burial depth and nitrogen availability and placement in competition with a crop In this trial it was investigated how couch grass (Elymus repens) changes its ability to compete in stands of wheat and barley with different burial depth and different amounts and placement of nitrogen. More knowledge in this area can be valuable in the attempt to decrease the use of herbicides and still keep the weeds under control. The trial was carried out in the summer of 2004 as an outdoor pot experiment. The pots contained 15 litres of soil with a surface of 0,06 m2.

SAMMANFATTNING Uppskattningsvis transporteras 171 miljoner grisar inom EU varje år, varav ca 3,5 miljoner i Sverige. Grisarna kommer, under hela förloppet från förflyttningen från box i stallet till bedövningen i slakteriet, att utsättas för stressande moment. Orsakerna är bland annat omgrupperingar, nya miljöer, vibrationer i bilen samt, speciellt under sommaren, värmestress. Temperaturen i djurtransportbilen är en nyckelfaktor som dessutom kan förstärka effekten av andra stressorer. Lastning i höga temperaturer ökar risken för värmestress. Värmestress innebär att djuren får allt svårare att avge sin värme. Även den relativa luftfuktigheten har betydelse, framförallt vid temperaturer över 30°C. Det är ventilationen i transportbilen som ska transportera bort värme och fukt från bilen.

Behörighetskrav införgymnasial yrkesutbildning -vem innesluts och vem utesluts?Kjell LundbergSammanfattningBakgrunden till mitt valda ämne är att jag arbetar på ett fordonstekniskt PRIV program. Eleversom går detta program har inte blivit antagna till ett nationellt program på grund av behörighetskraveni Lpf-94. Flera av dessa elever skulle klara karaktärsämnena på ett nationellt program,men skulle ha stora svårigheter i kärnämnena, även med extra hjälp.De läroplansutredningar och behörighetskrav som jag har studerat är för: 1955 års yrkesskolreform,Lgy-70, Lpf-94 och SOU 2008:27 Framtidsvägen ? en reformerad gymnasieskola (förslagtill gymnasiereform GY-10).Syftet med studien:? Hur ser behörighetskraven till yrkesutbildning ut i de olika läroplanerna?? Vad är tankarna bakom läroplanerna?? Hur kan kraven i utredningarna till läroplanerna ses i ljuset av perspektiv på kunskap?Metoden jag har använt mig av är en dokumentstudie och kunskapsbegreppet används somteoretiskt perspektiv.Studien börjar med en historisk utblick på yrkesutbildningar.