This thesis processes the work of developing CPU code and GPU code for Thomas Kaijsers algorithm for calculating the Kantorovich distance and the performance between the two is compared. Initially there is a rundown of the algorithm which calculates the Kantorovich distance between two images. Thereafter we go through the CPU implementation followed by GPGPU written in CUDA. Then the results are presented. Lastly, an analysis about the results and a discussion with possible improvements is presented for possible future applications..

This thesis processes the work of developing CPU code and GPU code for Thomas Kaijsers algorithm for calculating the Kantorovich distance and the performance between the two is compared. Initially there is a rundown of the algorithm which calculates the Kantorovich distance between two images. Thereafter we go through the CPU implementation followed by GPGPU written in CUDA. Then the results are presented. Lastly, an analysis about the results and a discussion with possible improvements is presented for possible future applications..

This thesis processes the work of developing CPU code and GPU code for Thomas Kaijsers algorithm for calculating the Kantorovich distance and the performance between the two is compared. Initially there is a rundown of the algorithm which calculates the Kantorovich distance between two images. Thereafter we go through the CPU implementation followed by GPGPU written in CUDA. Then the results are presented. Lastly, an analysis about the results and a discussion with possible improvements is presented for possible future applications..

This thesis processes the work of developing CPU code and GPU code for Thomas Kaijsers algorithm for calculating the Kantorovich distance and the performance between the two is compared. Initially there is a rundown of the algorithm which calculates the Kantorovich distance between two images. Thereafter we go through the CPU implementation followed by GPGPU written in CUDA. Then the results are presented. Lastly, an analysis about the results and a discussion with possible improvements is presented for possible future applications..

This thesis processes the work of developing CPU code and GPU code for Thomas Kaijsers algorithm for calculating the Kantorovich distance and the performance between the two is compared. Initially there is a rundown of the algorithm which calculates the Kantorovich distance between two images. Thereafter we go through the CPU implementation followed by GPGPU written in CUDA. Then the results are presented. Lastly, an analysis about the results and a discussion with possible improvements is presented for possible future applications..

This thesis processes the work of developing CPU code and GPU code for Thomas Kaijsers algorithm for calculating the Kantorovich distance and the performance between the two is compared. Initially there is a rundown of the algorithm which calculates the Kantorovich distance between two images. Thereafter we go through the CPU implementation followed by GPGPU written in CUDA. Then the results are presented. Lastly, an analysis about the results and a discussion with possible improvements is presented for possible future applications..

This thesis processes the work of developing CPU code and GPU code for Thomas Kaijsers algorithm for calculating the Kantorovich distance and the performance between the two is compared. Initially there is a rundown of the algorithm which calculates the Kantorovich distance between two images. Thereafter we go through the CPU implementation followed by GPGPU written in CUDA. Then the results are presented. Lastly, an analysis about the results and a discussion with possible improvements is presented for possible future applications..

This thesis shows the result from investigations of methods that use distance vectors when matching pictures. The distance vectors are available in a distance map made by the Euclidean Distance Transform. The investigated methods use the two characteristic features of the distance vector when matching pictures, length and direction. The length of the vector is used to calculate a value of how good a match is and the direction of the vector is used to predict a transformation to get a better match. The results shows that the number of calculation steps that are used during a search can be reduced compared to matching methods that only uses the distance during the matching..

In my degree project, I explore the importance of distance and how our perception of distance is affected by our experiences.During my investigatory work I studied the relation between distance and experiences. Among other things I concluded that distance can refer to several different kinds of distances (for example spatial, temporal or social distances) and that experiences are what you?ve learnt of these distances. The importance of distance can be illustrated by highlighting the effects of the distance, i.e. experiences.My degree project resulted in a pair of interactive binoculars which are used for looking at an virtual world of illustrations in 360°; a world of illustrations where distance and the importance of distance is shown..

The cost of forwarding corresponds to about one tenth of the forestry industries raw material cost. This gives a motive to do good follow-ups to get a good overview of the forwarding distance and, thus, enable improvements. Follow-ups are also justified by the possibility to make more accurate calculations of the harvesting costs, if better estimations of forwarding distance are achieved. Today (2009) Stora Enso has GPS and vehicle-computers in most of their forwarders. These are used mainly for the forwarder to follow the tracks of the harvester and for the planning leader to see how the forwarder has been driving within the stand.

This report describes a study, description and testing of parts to an application adapted to the operating system Android. The application is supposed to measure the distance to a car ahead. Apart from distance measurements the ability of the application to calculate its own speed with the help of GPS is tested. From these two parameters, speed, distance and some constants the theoretical stopping distance of the car will be calculated in order to warn the driver if the car is too close to the car ahead in relation to its own speed and stopping distance.Tests were conducted on the different applications that were programmed and the result showed that the camera technique in the mobile phone itself limits the maximum distance of the distance measurement application. The max distance the tests in this thesis revealed was approximately 5 meters.

The aim of this Master's thesis is to investigate the library needs of distance students. This user study has a student perspective and concentrates on the main question of which way library needs might be expressed by distance students. Associated topics addressed by this study include; the problem of learning centres lacking their own library support, how distance students look upon library support as a concept and whether distance students prefer public libraries or university libraries, and why they make this choice. These questions may give the answer to how distance students deal with information literacy. Theories chosen by the study are in the fields of pedagogical and library science, the social cultural theory by Roger Säljö and in Tom Wilson's theories on user studies and information needs.

Hofstede constructed a culture dimension called Power Distance, measuring the inequality of Power. Germany and Sweden have relatively similar values according to his world-renowned research. But a series of interviews of Swedish entrepreneurs in Germany shows that these perceive a large difference in inequality of power in the two countries. This essay seeks to explain the difference between these subjective-qualitative experiences and the objective-quantitative data of Hofstedes Power Distance Index. We propose that a combination of differences in communication, exercise and visibility of power and formality influence the way Power Distance is perceived.

The purpose of this essay is to show the opportunities and difficulties of teaching within distance education. I will show this from two different parts of the world. One being Sweden and the other Australia, both countries run a distance education program with similar reasons students whom travelling, some living hundreds of miles from any schools and some students with health and or social disadvantages. This study is based on the actual teacher?s accounts and experiences the opportunities and difficulties in teaching in distance.

The main purpose of this report is a first step to cover the scarcely investigated subject of interspecific competition between roe deer, Capreolus capreolus, and fallow deer, Dama dama. The report focuses on the distance between individuals of roe and fallow in the study area as well as which factors that is affecting the variation in distance depending on fallow deer group size and changing population density over time and in two areas. For additional information the history of the populations, such as harvest and distribution, is also investigated. The report came to the conclusion that interspecific competition between the species do occur. The elevated distance between individuals of the two species is clearly significant. The most important factor affecting the distance seemed to be the size of the fallow groups.