Metadata är en viktig del i arbetet med geografiska data. Med bra metadata kan användaren på ett enklare och effektivare sätt hitta de data som är intressant för just honom eller henne. Länsstyrelsen i Västmanland har stora mängder geografiska data och beslutsdokument som rör geografiska områden. Dessa geografiska data och dokument lagras på servrar och är tillgängliga för handläggarna (användarna). GIS-gruppen har tidigare lagrat metadata för dessa geografiska data i en databas uppbyggd i Microsoft Access men en nyutvecklad metadatabas, GisMeta, ska börja användas.

This reports purpose is to give a general view on how to handle information collectedthrough photogrammetry and laser scanning with the help of UAS. The report ismade in collaboration with WSP Group and will briefly describe howphotogrammetry and laser scanning, also known as Lidar, works and how those areused in the construction business today. Then the focus will be on how gathered datais handled today, how outsourcing of data should be approached and if there are anyconsequences if data is handled in the wrong way. Interviews have been made with allparts in the UAS business. That includes authorities as Transporstyrelsen,Försvarsmakten.

During the summer of 2005 more than 80 million articles of clothing from China, were being held in European harbours. This was a consequence of a striking increase of imported textile and clothing articles from China since the turn of the year, which was the time when all quantitative restrictions were extincted on these products. To protect its own market, the EU therefore reintroduced import quotes in the beginning of the summer. China?s accession agreement to the WTO comprehends a number of unique provisional regulations which are exceptional for the country and in conjunction with clauses and exceptions within the GATT and WTO these regulations enabled new restrictions on the trade with textiles and clothings.

A multivariate cross-sectional model is used in this thesis to proxy for expected earnings and to estimate return on equity for 214 companies over the period 2009-2013, using Swedish data. The model, which has never been tested on Swedish data before, is first confirmed to function as a forecasting model for expected return. Furthermore, the model is evaluated through a comparison with two univariate models based on the assumption that return on equity follows a mean reversion process. Forecast accuracy is calculated as the difference of estimated returns and actual returns. The results show that the univariate models' forecasts are superior to the multivariate model's..

Importerad soja är vanligt att använda i hästfoder som en proteinkälla, men de negativa effekterna på miljön som orsakas av odling och transport skapar ett intresse för inhemska alternativ. De inhemska proteinfodermedel som tagits upp i litteraturstudien är torkad vetedrank, potatisprotein, foderjäst, drav, ärtor, åkerbönor samt mjöl och expeller från raps och linfrö. Syftet med litteraturstudien var att se vilka möjligheter det finns att använda svenska proteinfodermedel till hästfoder vid bristande proteinhåll i grovfodret, istället för att ge dem importerad soja. Studien beaktar olika proteinfodermedel och huruvida de är lämpliga för olika hästkategorier, samt hästars behov av protein och specifika aminosyror. Även begränsande faktorer som anti-nutrionella substanser har belysts, samt miljöpåverkan och odlingsmöjligheterna av olika proteinfodermedel i Sverige.

This study has been carried out in cooperation with Unilever and partly with the EC founded project, Smartdoc IST-2000-28137. In areas of statistics and image processing, both the amount of data and the dimensions are increasing rapidly and an interactive visualization tool that lets the user perform real-time analysis can save valuable time. Real-time cropping and drill-down considerably facilitate the analysis process and yield more accurate decisions. In the Smartdoc project, there has been a request for a component used for smart filtering in multidimensional data sets. As the Smartdoc project aims to develop smart, interactive components to be used on low-end systems, the implementation of the self-organizing map algorithm proposes which dimensions to visualize.

Syftet med denna uppsats är att studera hur svenska små- och medelstora tillverkningsföretag eventuellt påverkas i tider då den svenska valutakursen fluktuerar och förstärks kraftigt. Vidare har målet med uppsatsen varit att studera om, och i så fall hur dessa företags internationella konkurrenskraft och strategier påverkats som en effekt av den svenska valutakursens fluktuationer. Den teoretiska referensramen inkluderar huvudsakligen teorier som behandlar företags strategi och internationella konkurrenskraft. Dessa teorier har vi använt med målet att studera och förklara hur företag hanterar den svenska valutakursens fluktuationer för att bibehålla sin internationella konkurrenskraft. Vidare så har vi försökt finna samband mellan hur dessa förändrats under tid inom företaget och om utvecklingen kan förklaras med utvecklingen av den svenska valutakursen som påverkande faktor.

För att företag skall kunna konkurrera på ständigt föränderliga marknader krävs att de har kunskap om exempelvis kundbehov, konkurrenter och nya produkter. Källor till denna kunskap finns både internt inom organisationer och externt i deras omgivning. Både de interna och externa kunskapskällorna är viktiga, men under de senaste åren har ett allt större intresse riktats mot de externa källorna, då de har blivit allt viktigare för att organisationer effektivt skall kunna hantera sina affärsprocesser.En av de kunskapskällorna som ofta nämnts är Internet och den data som lagras på hemsidor runt om i världen. Dock är det svårt att hitta relevant data på Internet på grund av dess omfattning och dynamiska karaktär. Det har därför börjat uppkomma nya tekniker för att inhämta, strukturera och integrera data från Internet.

Methodology The foundation to my essay has been created using both primary and secondary data. Inquiries have been handed out to Handelsbanken. This data is completed with appropriate theories and ends in an analysis and finally a result and suggestion to continuing studies.Conclusions My conclusion is that the employees and the management has the same opinion on the bonussystem Oktogon. Both parts sees the system as a motivation factor in the organization. But still not enough effect on the employees to call it an effective strategy..

The purpose of this essay is to inquire whether there are any resemblance or differences in the Migrationperiod textiles between the three places that I have chosen, Högom in Sweden, Evebø and Snartemo in Norway. Another purpose is to investigate if this magnificencedressmaterial indicate some kind of mental borders, social differences or hierarchy not only towards other powerful chieftains in other areas but also inside there own society and groups, a dresscode. In other words both individually locally as regionally and internationally. If there are resemblance's between the dressmaterial, gravefinds and the graves context could that be a sign of the same sphere of power, alliances, trading, intentional import, domesticproduction, culturedistribution? My aim in this essay is to try to show that the textile ought to have a higher significance place among archaeological material.

This study explores the shift in football recruitment from traditional scouting to data-driven methods, focusing on Sweden. It investigates how football organizations can enhance competency for effective data-driven recruitment. Through qualitative interviews with elite Swedish football organizations, the study emphasizes the need for competence development for proficient data-driven recruitment. To address the enhancement of personnel competency in the recruitment process, this study poses the research question: "How can football organizations effectively promote competence development to optimize their utilization of data-driven recruitment?" The results highlight the importance of targeted education, combining expertise in data-driven recruitment with a broad skill set.

Facial expressions are a part of our body language that helps us to clarify the verbal communication between humans. We use our facial expressions every day, both consciously and unconsciously, to express emotions and attitudes depending on the situation. The hypothesis of the study is: Given a facial expression, how well can Microsoft Kinect, as an input method, determine a person?s feelings with the two algorithms Naive Bayes and Sequential Minimal Optimization? The feelings are limited to happy, sad, surprised and disgusted. With the help of Kinect, a person?s facial data, both coordinates of the face and parameterized data, were saved and used for machine learning.

The present study discusses the metabolism of ethanol in the human body from the ingestion of ethanol to the excretion of its break down products water and carbon dioxide. Ethanol is a small molecule, soluble in water as well as in organic solutions. It is quickly distributed to every section in the body, where it exerts a direct toxic effect on the cells. Ethanol cannot directly leave the body efficiently so it needs other metabolic pathways. The molecule is metabolized by oxidation, predominately in the liver.

This thesis is about Christmas tree plantations in Sweden, and if its profitable to produce Christmas trees in Sweden. Sweden has 4,3 million households, 3 million of these households buys Christmas trees. 80 % of these Christmas trees are Norway Spruce (Picea abies), which is the most common Spruce in Sweden. Every year over 170 000 Christmas trees are imported to Sweden. The main import comes from Denmark.

New Zealand is currently the third largest global producer of kiwifruit and thus plays an important role in the international market. Exports of kiwifruit are also of significant horticultural value for New Zealand and in 2007 the kiwifruit industry accounted for export values of NZ$790 million. The global kiwifruit market has experienced substantial changes in recent years and is likely to change significantly in the near future due to developments in production sources, adjustments to trade policy settings and shifts in consumer preferences. The New Zealand kiwifruit industry needs to consider what the impacts of these changes might be so that future strategies can be constructed effectively. Little quantitative modelling has been done in New Zealand to consider the impacts of changes to the global kiwifruit industry. The major contribution of this research was the development and calibration of a kiwifruit industry-specific partial equilibrium trade model. The model was then used to examine the impacts on New Zealand producers of these trade-related changes in the global kiwifruit market.