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.

Denna kandidatuppsats har haft som syfte att undersöka hur två svenska researrangörer; Ving och Fritidsresor, kommunicerar och marknadsför sig genom text med fokusering mot hållbar turism. Researrangörernas tolkning och föreställning av deras hållbara arbete har granskats och ställts mot tidigare turismvetenskaplig begreppsapparat gällande hållbar turism, som uppfattas vara av komplex karaktär. Turismaktörernas uppfattningar har framställts genom två kvalitativa insamlingsmetoder, med ett fokus på den textuella kommunikationen i en diskursanalys. Materialet har insamlats från respektive besökshemsidor med inriktning på företagens hållbarhetsdiskurs.Genom ett metodologisk socialkonstruktivistisk utgångspunkt har researrangörernas språkliga textuppbyggnad studerats med avsikt att se hur språkets mening skapar en socialt konstruerad verklighet. Därmed visar undersökningen hur företagen kommunicerat hållbarhetsfenomenets huvudsakliga innehåll samt dess framställning och tolkning av detta begrepp.

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?s thesis studies library teaching at two university libraries, Freie Universität Berlin in Germany and Södertörn University in Sweden. The aim of this paper is to study views on information literacy, how these views affect teaching practice, and how the teaching of information literacy is connected to, on the one hand, German and Swedish learning culture and, on the other, the local community of practice at the studied university libraries. The theories applied in this paper are learning culture and community of practice as developed in the works of Judith Ricken and Etienne Wenger. The methods that have been used are qualitative, semi-structured interviews that were conducted at both university libraries.It was observed that the teaching practices were highly connected to learning cultures.

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 bachelor?s thesis report aims to investigate the problems that exist with the ticketing systems ofthe various regional public transportation authorities, specifically with regards to inexperiencedtravellers and cross-county travel.This is done in part through a comprehensive survey for all of Sweden where both the regional publictransportation authorities and passengers were asked about their opinions, as well as a throughin-depth survey focused on the counties of Stockholm and Uppsala. The results of these surveys arethen compiled and analyzed to identify the biggest common problems.The tree biggest problems prove to be a complicated implementation, lack of availability and lack ofinformation. In order to improve the ticketing system it is therefore proposed to implement asimplified ticketing system, as well as improved accessibility and information.         .

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.

The purpose of this thesis is to examine whether Swedish, Internet-based travel agencies, acting on a consumer market are working towards creating added value for their customers. If that is the case, how and why do they use such a mode of operation.The theoretical framework was based on Grönroos´ ?Augmented service offering?, which treats added value as an addition to the core service. The services offered on five of the larger companies´ websites on the market were examined and 3 representatives of the five companies were interviewed.The study shows that 2 of the examined companies did not produce any added value, while 3 of the companies did produce added value for the customer. The added value was generated through packaging of core-, facilitating- and supporting services for the purpose of differentiating the company towards competitors and generating service fees..

This report includes common helminths, symtoms, routes of infection, diagnostic laboratory techniques and prophylactic methods to prevent infection. We have pointed out where there is a risk of zoonotic transmission and how to avoid contamination and infection. We have restricted the number of species to the most common helminths. Some of these helminths do not naturally occur in Sweden (yet) but are nevertheless of current interest when we travel across borders with our horses, dogs and cats. The diagnostic part of our report tells about different techniques to find an occurance of helminths in samples of faeces, blood, urine or saliva from a horse, dog or cat. We also write about some recommendations on treating parasitic infections and the development of anthelmintic resistant helminths that originates from incorrect use of anthelmintic drugs .

Introduction: The number of hearing impairments in Sweden is increasing. The largest increase is seen in ages 25-44. There are reasons to believe that these impairments are noise induced. Leisure time noise is not controlled in the same manner that industrial noise is. An ongoing conflict between city council officials and rock club owners, musicians and music event organizers about sound levels at smaller live music clubs exceeding the national sound level restrictions created the need for an acoustic intervention project.

Purpose: The purpose of this Bachelor is to analyze how the organizers of a Major event price their tickets and how these strategies consistent and differs from dynamic pricing. The study also aims to analyze whether there are conditions for dynamic pricing in Major events in the future.Theories: Dynamic pricing - Kimes model, Segmentation, price discrimination, variable ticket pricing.Method: The study used a triangulation where a qualitative interview was combined with quantitative data collection. Primary data was collected through a qualitative approach through an interview with General Secretary Tony Wiréhn and Marketing Director Malin Eldh in the local organization of the IIHF World Championship in Sweden. The quantitative data collection was to collect price information from the games played in the Swedish side of the World Championship organization arrangements.Conclusion: The conclusions that can be drawn are that the organizer of Ice Hockey World Championships today largely applies segmentation and also the second and third degree price discrimination. World Cup organization believes that it has something they call "semi-dynamic pricing", which according to this study involves a variable pricing with dynamic tendencies, then prices on some games adapted based on supply and demand during the sales period.

In today's society, more and more people traveling with transports such as trains and buses. With this type of travel it often exists waiting at stations that in many cases perceives as negative. Previous research demonstrates that distraction can get people to experience the waiting as less negative. This paper aims to examine how waiting can be affected by distraction, and if it is possible to use a second type of waiting as a distraction. The authors have chosen to focus on travelers who are waiting.