Den Automatiska metoden att bedöma bark på sågtimmer har visat goda resultat och verkar mycket lovande för kontinuerlig drift. Ett problem som dock bör ses över före kontinuerlig drifttagning är att den Automatiska mätmetoden är känslig för smuts och damm på glasen som skyddar lasern och kameran i ramens mätenheter. Den Automatiska metoden bygger på att intensiteten och spridningen av laserljuset från ytan tolkas för att avgöra om mätningen skett på bark eller ved. När glasen blir smutsiga tolkas mer och mer av stockens mantelyta som bark. Det betyder i sin tur att det Automatiskt framräknade underbarksmåttet på stocken förändras med graden av smuts på glasen.

Den Automatiska metoden att bedöma bark på sågtimmer har visat goda resultat och verkar mycket lovande för kontinuerlig drift. Ett problem som dock bör ses över före kontinuerlig drifttagning är att den Automatiska mätmetoden är känslig för smuts och damm på glasen som skyddar lasern och kameran i ramens mätenheter. Den Automatiska metoden bygger på att intensiteten och spridningen av laserljuset från ytan tolkas för att avgöra om mätningen skett på bark eller ved. När glasen blir smutsiga tolkas mer och mer av stockens mantelyta som bark. Det betyder i sin tur att det Automatiskt framräknade underbarksmåttet på stocken förändras med graden av smuts på glasen.

Att den rika västvärlden måste behärska sin konsumtion är ett synsätt som har fått stort genomslag. Miljöproblemen växer och arbetare utnyttjas runt om i världen. När frågor om hållbarhet uppmärksammas alltmer, får även etisk konsumtion ökad uppmärksamhet. Samtidigt som efterfrågan av etiska produkter ökar och företags ansvarstagande aktiviteter ökar har en viss problematik med kommunikation mellan företag och konsumenter uppmärksammats. Samtidigt som konsumenter efterfrågar mer information att grunda sina etiska val på så dömer de lätt ut företags etiska agerande som skenheligt.Ett nytt sätt att informera om ansvarstagande aktiviteter ser vi hos Dole Organic.

I Finspång ligger företaget Siemens Industrial Turbomachinery AB som konstruerar, tillverkar och säljer bl. a. ångturbiner. En av de ingående komponenterna i dessa turbiner är mellanväggarna, vars uppgift består i att rikta ångflödet mot de roterande skovlarna. Examensarbetet gick ut på att effektivisera tillverkningsprocessen kring dessa mellanväggar.

I Finspång ligger företaget Siemens Industrial Turbomachinery AB som konstruerar, tillverkar och säljer bl. a. ångturbiner. En av de ingående komponenterna i dessa turbiner är mellanväggarna, vars uppgift består i att rikta ångflödet mot de roterande skovlarna. Examensarbetet gick ut på att effektivisera tillverkningsprocessen kring dessa mellanväggar.

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.

Electrolux är en av världens ledande tillverkare av vitvaror, de satsar stort på produktutveckling och sätter stort värde vid produktens design och känsla och funktion. Utvecklingen av kylskåp går ständigt framåt och det tillkommer mycket funktioner både i form av teknik och av material- förändringar. Trenderna talar även för att det exteriöra, kylskåpets samklang med kökets övriga inredning, är en oerhört viktig aspekt, vilken har utvecklats mycket under de senaste åren. Idag är ett kylskåp mycket mer än bara en kylförvaring, det är också är en viktig inredningsdetalj med många funktioner i det moderna köket. Under våren 2007 genomfördes detta projekt som ett samarbete mellan Electrolux kylskåpsfabrik i Mariestad och avdelningen för Industriell design vid Luleå tekniska universitet.

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.

Mastit (juverinflammation) är en mycket vanlig sjukdom hos mjölkkor som orsakar mjölkproducenterna stora ekonomiska förluster genom nedsatt produktion och mjölkkvalitet och representerar en avsevärd antibiotikaanvändning. Klinisk mastit (KM) ger synliga symtom som t.ex. juversvullnad. Den vanligaste formen är dock subklinisk (tyst förlöpande) mastit (SKM) som är en utmaning för mjölkproducenten eftersom den är svår att upptäcka och behandla. Kor med SKM har inga synliga symtom men förhöjda celltal i mjölken vilket är ett tidigt tecken på mastit.

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.

RFID innebär, vid sidan av streckkoder, ytterligare ett sätt att identifiera föremål. Fördelen med RFID är bland annat att identifikation kan göras utan fysisk eller visuell kontakt och med avstånd på flera meter. Ett eventuellt användningsområde för RFID skulle kunna vara på transporter vid inchecknings- och bordningsprocessen till färjetransporter för att snabba upp logistikflödet.De potentiella mervärden som detta skulle kunna medföra är bland annat snabbare incheckning och avlämning/avhämtning av transportenheter, bättre spårning av transportenheten, ökad säkerhet och effektivare arbete på kajen. Ett antal frågeställningar sattes upp inom tre huvudområden: allmän orientering av RFID-teknik, mervärden och investeringsanalys. Dessutom tillkom några andra intressanta frågeställningar kring bland annat alternativa identifieringsverktyg, tillämpningar i andra sammanhang och säkerhet.´Fokus på arbetet har dock legat på att försöka visa på mervärden och fördelar med att använda RFID-tekniken.Som grund för att besvara frågeställningarna har en nulägesbeskrivning gjorts över det studerade systemet från terminal - färjetransport ? terminal, där Schenker och Stena Line varit de inblandade aktörerna.