The aim of this project was to develop educational resources concerning bioenergy and sustainability. The initial purpose was to produce two sets of material: one suitable for children in their first years of Swedish compulsory school, and one designed for upper secondary students. In the report, however, the possibilities are discussed for this material to be used with even wider audiences.In the first phase of the process, literature (books, reports etc.) with relevance to bioenergy, sustainability and theories of learning were studied. This insight, along with the appropriate course curriculums, was used in the development stage to produce learning material for the targeted audiences. The development was followed by tests and evaluations carried out with high school students, upon which an analytical discussion is held regarding the consequences and possibilities that the results of this project pose.The content of the learning material is based on the curriculum and course requirements provided by Skolverket (The Swedish National Agency for Education) for lower elementary and high school students.

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.

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.

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.

Accessibility is today a topic of high current interest. It is a requirement for equality and a democracy question. By the year 2010, easy measured hindrances in all of Sweden's municipalities should be cleared away; this is stated in Swedish law. The physical accessibility to our public places is particularly important for functionally disabled people since it affects their possibilities to be outdoors and also their participation in society. When designing these places, it is difficult to find solutions that fit everybody, especially since good accessibility not only should fulfill all physical requirements of accessibility but also values of experience.

Anne Charlotte Leffler, Victoria Benedictsson and Frida Stéenhoff were all part of the Modern Breakthrough in Swedish literature. By utilizing Jürgen Habermas theoretical works on communicative action, and Nancy Fraser?s supplementary reading of his theory, this essay makes clear that the authors? struggle for an understanding and a rethinking of social norms in their plays Skådespelerskan (1873), Romeos Julia (1888) and Lejonets unge (1896) can be read as a contribution to the public debate. Dialogue has a key function for female authors during the Modern Breakthrough. Women and mens? possibilities to take part in conversation and argument as equals, requires the professional woman?s transgression and access to the privileges of both public (State) administration ? ?system?, and world of everyday life ? ?lifeworld?.

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.

Syftet med examensarbetet är att skapa kunskap och reflektion för mellanstadiebarn för att bidra till folkbildning i samhället och hjälpa till i arbetet med att göra Jönköpings läns museum till nästa generations museum samt Sveriges bästa museum. För att kunna skapa kunskap och reflektion har bilder av miljöer från 1600-talets Visingsborg tagits fram och kombinerats med bilder från nutiden. Allt är framtaget med hänsyn till mellanstadiebarnen och museets olika krav. För att ta fram de olika kraven har museets personal intervjuats. För att få en bild över hur mellanstadiebarn fungerar och hur de tar till sig kunskap har litteratur studerats, en intervju har gjorts med en mellanstadieklass samt en intervju med en bildpedagog.

Vad styr valet av revisionsbyrå? Revisionsbyråers kunder kan ha svårt att uppfatta konkreta skillnader mellan byråernas revision, då dess utformning är standardiserad. Revisionens homogena utformning, kravet på oberoende i relation med företaget som ska revideras, vissa normer vid prissättningen av revision och kravet på saklighet i marknadskommunikationen medför begränsningar för revisionsbyråerna när det gäller differentiering av revisionstjänsten. Vi ville komma fram till vad i revisionsbyråernas marknadsföring som köpande bolag attraheras av samt vad som utmärker bolag som reagerar på en viss konkurrensfördel. Kundens köpbeteende kan förklaras utifrån dess preferenser och bakgrund.

The subject of this project focuses on how Landscape Architects by their profession can explore and directly make a difference in the cityscape. This paper documents the process of art - based research practice. The purpose of installing temporary activities is to encourage people in the city to discover, participate and invite people to be more playful in the city. My experience of interaction in public spaces comes primarily from the education within landscape architecture, from site-specific art installations I have performed in different cities and from observations of landscape architecture, street art and urban life in the cities of Vienna, Berlin and Linköping. It is fascinating and inspiring to see how the urban space can invite and allow visitors to participate and therefore feel invited to the open space. As a landscape architect I wish to create urban spaces that are useful and inspiring for their visitors. The projects main question: How can you make temporary landscapes that encourage outdoorinspired activities at selected locations in the city? is answered by practice based research, an approach in which theoretical research are developed through practical experiments in the designing- and implementation process.