I Sverige utförs dagligen observationer av snöns djup och utbredning under snösäsongen.Observationerna används till exempel för att årsvis avgöra maximalt snödjup, snötäckets första ochsista dag samt antal dygn med snötäcke på olika platser. Traditionellt utförs snödjupsmätningarmanuellt med en enkel mätpinne, men med ny teknik kommer nya möjligheter. Med enultraljudssnömätare kan automatiserade snödjupsmätningar utföras med bättre upplösning i bådetiden och rummet vilket därmed ger bättre uppfattning av snöns tillväxt, hopsjunkning samtsmältning och innebär att alla signifikanta förändringar i snötäcket garanterat kommer observeras.I denna utvärdering har en jämförelse gjorts av manuella och automatiska snödjupsmätningarutförda parallellt på samma plats men med olika frekvens. Instrumentet som utvärderats är enSR50A Sonic Ranging Sensor uppmonterad vid Institutionen för geovetenskapers mätstation vidUppsala universitet. Vid mätstationen görs även manuella snödjupsmätningar en gång per dag.

There is two dairy farms in Sweden with ability to be opened on both long sides, one outside Hjo and the other one, Brandstadholm, north of Sjöbo. When there is no measures and results or not enough literature about natural ventilation and especially on this kind of air inlet, makes my tests very interesting not only on Alnarp, but among other companies. I would like to find out if there is any air movements direct on the cows, how high/low temperature, air humidity, light intensity and noise standard inside the barn. Does Brandstadholm fulfil the rules and regulations when it comes to climate inside the barn? Could this system become the new dairy barn instead of the conventional barns in Sweden? I am going to focus on the animals environment, after all they are the one who is going to spend the most of the time in the barn. I used five electrical loggers distributed inside the barn to measure the temperature and one of the loggers measured the air humidity, every 15th minute. One logger were placed on the outside which measured both temperature and air humidity.

ATC (Automatic Train Control; automatisk tågkontroll) är ett säkerhetssystem som automatiskt bromsar ner ett tåg om föraren skulle missa en hastighetsnedsättning eller en stoppsignal. Systemet ger även föraren information om när det är dags att exempelvis sänka hastigheten. Detta genom tonstötar och blinkande siffror på ATC-panelen. Många förare anser dock att det saknas väsentlig information i gränssnittet till ATC-panelen, visar rapporter från Banverket (Kecklund, 2001). Eftersom information som skulle hjälpa föraren att planera körningen framåt i tiden saknas, och föraren därmed ofta väntar på indikationer från systemet, ?kör på pipet?, kan olyckor ske där ATC-övervakningen saknas eller gått ur funktion.

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.

För närvarande läses elmätare av en gång per år, detta leder till att kunders elräkning baseras på ett schablonbaserat belopp. Enligt riksdagens proposition 2002/03:85 skall dock alla elkunder, senast fr.o.m. 1 juli 2009, faktureras efter faktisk elförbrukning varje månad. Detta har lett till en stor marknad för fjärravlästa elmätare som nu är ett måste för att kunna utföra den tätare avläsning som krävs. E.ON ES Sverige AB som är beställare av detta examensarbetet har specialiserat sig på att installera, underhålla och läsa av fjärravlästa elmätare åt nätägare.

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.

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.

Ett arbete inom produktutveckling har utförts på uppdrag av Goodtech Solution AB i Karlstad. Den produkt som utvecklats är en prototyp av en robotcell. Robotcellens uppgift beskrivs som automatisk pallkragsmontering på en lina. Den här rapporten omfattar förbättringsarbetet för Ytterkragen och dess drift för vertikal rörelse och höjdpositionering. Syftet är att rapporten för detta arbete ska ligga som grund för prototypens förbättringsarbeten innan den släpps ut påmarknaden.Monteringen sker på en lina med rullband där emballaget monteras ihop i robotcellen innan det skickas vidare för nästa moment.

Vatten är en av jordens livsviktiga resurser, en resurs som hela tiden minskar. I delar av världen råder akut vattenbrist och ofta återfinns industrier med hög vattenanvändning i områden med begränsad vattentillgång. En av dessa industrier är textilindustrin. Vid textil beredning är vattenförbrukningen mycket hög och avloppsvattnet är ofta mycket förorenat. Vattenfrågorna inom textil produktion har fram till idag inte uppmärksammats i lika stor grad som arbetsrätts- och kemikaliefrågorna.

Titel - Nyttan med RFID i IKEAs försörjningskedja - Ett sätt för IKEA att uppnå spårbarhet.Författare - Sven MorénJesper SamuelssonHandledare - Mats Johnsson, Universitetslektor vid institutionen för förpackningslogistik, Lunds Tekniska Högskola.Daniel Hellström, Doktorand vid institutionen för förpackningslogistik, Lunds Tekniska Högskola.Allan Dickner, Förpackningschef inom IKEA-koncernen.Nyckelord - Spårbarhet, Märkningssystem, RadioFrekvent IDentifikation, Information.Problembakgrund - Informationsteknologin har medfört stora förändringar för dagens företag. Några av utvecklingarna inom IT är Automatic Identification and Data Collection, vilket har inneburit en avsevärd förbättring med avseende på mängden korrektöverförd data. Radio Frequency IDentification (RFID) är en teknologi inom AIDC-området som har börjat användas allt mer, vilket också IKEA uppmärksammat. IKEA är ett multinationellt företag som expanderar kraftigt samtidigt som distributionen blir allt mer komplex, vilket ställer höga krav på ett effektivt och lättöverskådligt flöde. Det förekommer idag många och tidsödande mänskliga fel vid hanteringen av gods vid distributionscentralerna, vilket till stor del beror på olika standards och rutiner för de olika sändningarna.

SAMMANFATTNING När man i tidigare undersökningar studerat betesgång för mjölkkor har klimatet på betet inte beaktats. En höglakterande ko producerar mycket värme som hon måste avge till sin omgivning för att kunna bibehålla sin kroppstemperatur. De sätt som djuret kan avge värme på är begränsade och påverkas av flera klimatfaktorer samt djurets genetiska och biologiska förutsättningar. Antalet dagar som registreringar gjordes under denna studie blev av flera olika anledningar få, 18 dagar. Klimatet utomhus under studien registrerat som globtemperatur varierade från 22,4 till 34,7ºC. Då djurskyddslagen skall främja djurens hälsa och djurets naturliga beteende fick en grupp 126 höglakterande kor möjlighet att välja uppehållsplats under tiden 26 juli till 11 augusti. 2004. Korna fördes ut på betet vid niotiden på förmiddagen och var därefter fria att gå in och ur stallet efter egen vilja tills de togs in för kvällsmjölkning omkring klockan tre påeftermiddagen.