In this paper I have sought a suitable level of abstraction in my models describing the landscape; the models are made to be viewed from eyelevel. Because of the spectator being ?in the model? the objects included need a certain degree of realism. I have sought what is needed in the model to be able to comprehend that the model is showing a landscape. Some details might be unnecessary.

With numerous applications in both military and civilian life, the demand for accurate 3D models of real world environments increases rapidly. Using an airborne laser scanner for the raw data acquisition and robust methods for data processing, the researchers at the Swedish Defence Research Agency (FOI) in Linköping hope to fully automate the modeling process.The work of this thesis has mainly been focused on three areas: ground estimation, image segmentation and classification. Procedures have in each of these areas been developed, leading to a new algorithm for ground estimation, a number of segmentation methods as well as a full comparison of various decision values for an object based classification. The ground estimation algorithm developed has yielded good results compared to the method based on active contours previously elaborated at FOI. The computational effort needed by the new method has been greatly reduced compared to the former, as performance, particularly in urban areas, has been improved.

Problem: The question is if investors falls into psychological decision traps when they are about to make an investments decision. Research in other areas suggests that this may be case. The reason is that they are not aware of that psychological decision traps exist. If so, it can lead to pernicious consequences for the return on the portfolios they manage. Purpose: To investigate if investors fall into four different psychological decisions traps: anchoring, confirming evidence, overconfidence and regression towards mean, at investments in IPOs Method: We have collected data through a form of experiment.

Att det idag finns flera metoder och modeller för att fatta beslut är inte konstigt då beslutsfattande sker varje dag och i vissa sammanhang kan ge ödesdigra konsekvenser om det blir fel. Denna kandidatuppsats kan ses som en förstudie för hur naturligt beslutsfattande skulle kunna stödjas genom en förbättrad utbildning till beslutsfattare. Uppsatsen ämnar behandla naturligt beslutsfattande och intuition hos experter inom räddningstjänsten, närmare bestämt om de använder intuition och i så fall vad som ligger till grund för denna intuition. Intervjuer utfördes på räddningstjänsten i Motala efter critical decision method som är framtagen för cognitive task analysis. Inom räddningstjänsten använder sig befälen av intuition när de tar det flesta av sina beslut i fält.

Background: Every year, patients die while waiting for an organ due to the shortage of donors. When a patient is declared brain dead, the question of possible organ donation arises. In some cases, the patient is registered in the donor registry, but sometimes their stance on donation is unknown. The next of kin then become involved in the decision and are asked both what the patient would have wanted and how they themselves feel about donating their deceased family member?s organs. Aim: The aim of this literature review was to describe relatives' experiences of the decision-making process regarding organ donation after death.

This paper aims to determine what is decisive for localisation of production units when a company engages in offshoring. By performing a case study on Electrolux and comparing the results with theoretical literature we discuss the implications for manufacturing companies in general. To facilitate a structured analysis we have developed a model dividing the localisation decision into five perspectives and four geographical levels. We have found that the determinants of localisation vary depending on the geographical level of the decision process. Since all geographical levels are interconnected, the analysis needed for a decision on all levels simultaneously is very comprehensive.

After the tsunami disaster in December 2004 many arguments were heared that one oft the major reasons behind the poor Swedish effort connected to the evacuation and health care of the Swedish citizens in Thailand right after the incident is the Swedish model with independent government authorities. By comparing the constitution, the political decision making tradition by the ministers and the handling of the catastrophe in the tree Scandinavian countries Denmark, Norway and Finland, plus analysing the behaviour of the Swedish foreign and prime minister from a rational choose inspired individual decision making theory the research shows that there is no proof that a constitutional change in Sweden into the traditional model with government authorities controlled by the ministers alone would led to a more effective crisis handling by the government due to crises concerning Swedish citizens out states. Although the research shows that the constitution and the tradition of decision making in the government provides the basic condition of the ministers individual rational decision making.

A current debate is going on in Sweden about the health-care organization, how it is structured today and how it should be structured in the future. Despite major changes in the county council structures, they still got problems with for instance economy and the providing of staff. As an answer to these problems new solutions are being developed.In this thesis I examine such a solution consisting of cooperation between county councils. The aim of the thesis is to examine how and why the county councils in Sörmland and Västmanland have made a decision regarding cooperation over the administrative border.My contribution is to construct a model over change and decision processes that can be used in other cases as well. The conclusion is partly that the decision to cooperate is built on changing structural factors, such as economy, demography and medical development.

Problems:How would a decision model that takes into account more aspects and dimensions than just the financial aspect look for smaller service compa-nies? What aspects are important to consider in such a decision model?Purpose:The purpose of this master thesis is to develop a decision model based on previous research, to improve decision making in smaller service com-panies ? by considering perspectives that traditional investment calcula-tions ignore.Method:The study was qualitative and was based on both primary and secondary data. As data collection method for the development of the model we used literature search on previous research. The study?s primary data consisted of responses from five smaller service companies.

The purpose of this thesis, was to study decision processes and the importance of information management in the processes within an academic organisation, which led to the work with adaptions according to the law of Equal Treatment of Students in Higher Education, (SFS 2001:1286). A general question was formulated concerning how different information- and knowledge flows interact within an academic organisation and its library during the decision processes. The questions at issue we have tried to examine, concern the factors that have influenced the participants´ choice of information during the decision processes, in their work of adapting the law of equal treatment, and how these choices have influenced the priorities that were made. The theoretical starting point was basically Cohen, March and Olsens Garbage Can Model. We also found the author Chun Wei Choo´s descriptions of organisations, as systems of information processing, useful for parts of our thesis, especially the parts that deals with the role of information management within the decision processes.

Good comfort for the driver of a construction machine is crucial. Gearshift comfort is an important part of the total comfort. Volvo Construction Equipment Components has a simulation environment of the powertrain, SimPow, which is implemented in Matlab/Simulink. SimPow is mostly used for simulation of control strategies and performance. In order to be able to study gearshifting comfort, Volvo has an interest in developing new models for SimPow.

This thesis describes a tool for data mining used to optimize ambulance preparedness. The goal with the tool was that it should be able to retract the information necessary to be able to analyze and calibrate the preparedness model used in the software ResQMap. ResQMap is used by SOS Alarm, who are responsible for the Swedish emergency number 112, as a decision support tool for ambulance operators. It is developed by Carmenta AB, who are the supervisors of the thesis work. Also, a minor study of the preparedness models variables has been performed in order to be able to evaluate the function of the tool.

This paper thoroughly investigates needs and requirements for overhead distribution feeder inspection and develops models to investigate possible relations between short term inspections remarks and outages. The study was conducted in collaboration with Fortum Distribution AB that supplied extensive information about their overhead power feeders concerning both inspection and power outages. The investigated models where lognormal linear model, Poisson generalized linear model and negative binomial generalized linear model. All models were implemented utilizing offset terms to compensate for differences in feeder length and amount of overhead versus underground feeders. The Poisson generalized linear model was rejected at an early stage due to overdispersion and neither of the remaining models fit the data perfectly.

Bakgrunden för denna studie är problematiken kring beslutsfattande. Tidigare forskning visar att en individ dagligen fattar en mängd medvetna och omedvetna beslut. Dessa beslut faller sig olika utefter vilka erfarenheter, preferenser och känslor individen har och hur detta påverkar individen vid köp av dyra sällanköpsvaror. Syftet med studien är att identifiera faktorer och personlighetstyper som influerar köparens beslut gällande dyra sällanköpsvaror..

Predicting corporate failure is an increasingly important topic in the world of economics today. This paper, with the help of the credit ranking company Syna AB, aims to investigate a few different statistic strategies to do just that. This task is accomplished by using a data material of 250 000 Swedish companies divided into two subsamples. The first sample is used to develop the model and the second as a validation sample. The model developing sample holds 160 000 companies divided into five different subgroups based on size and age.