Multiculturalism and Policymaking : A comparative study of Danish and Swedish cultural policies since 1969

This master’s thesis deals with the cultural diversity policies of Denmark and Sweden within the cultural sector. It attempts at explaining why these two “most-similar” scandinavian countries having in common the same cultural model, “the architect model”, opted for different policies when it came to cultural diversity: Assimilationism for Denmark and multiculturalism for Sweden. I show that though institutional and power-interest factors had an impact, ideas as “programmatic beliefs” (Sheri E. Berman 2001) or “frames” (Erik Bleich 2003) played the ultimate role. I evaluate their relative importance by analyzing the anthropological dimension of the countries cultural policies since 1969. The study confirms that at least in the cultural sector, Danish policies have been assimilationist and Swedish ones multiculturalist and proposes a new classification of terms.By investigating immigrants cultures, it fills a gap left by previous researchers working on a common Nordic cultural model.

MACHINE VISION FOR AUTOMATICVISUAL INSPECTION OF WOODENRAILWAY SLEEPERS USING UNSUPERVISED NEURAL NETWORKS

The motivation for this thesis work is the need for improving reliability of equipment and quality of service to railway passengers as well as a requirement for cost-effective and efficient condition maintenance management for rail transportation. This thesis work develops a fusion of various machine vision analysis methods to achieve high performance in automation of wooden rail track inspection.The condition monitoring in rail transport is done manually by a human operator where people rely on inference systems and assumptions to develop conclusions. The use of conditional monitoring allows maintenance to be scheduled, or other actions to be taken to avoid the consequences of failure, before the failure occurs. Manual or automated condition monitoring of materials in fields of public transportation like railway, aerial navigation, traffic safety, etc, where safety is of prior importance needs non-destructive testing (NDT).In general, wooden railway sleeper inspection is done manually by a human operator, by moving along the rail sleeper and gathering information by visual and sound analysis for examining the presence of cracks. Human inspectors working on lines visually inspect wooden rails to judge the quality of rail sleeper. In this project work the machine vision system is developed based on the manual visual analysis system, which uses digital cameras and image processing software to perform similar manual inspections. As the manual inspection requires much effort and is expected to be error prone sometimes and also appears difficult to discriminate even for a human operator by the frequent changes in inspected material. The machine vision system developed classifies the condition of material by examining individual pixels of images, processing them and attempting to develop conclusions with the assistance of knowledge bases and features.A pattern recognition approach is developed based on the methodological knowledge from manual procedure. The pattern recognition approach for this thesis work was developed and achieved by a non destructive testing method to identify the flaws in manually done condition monitoring of sleepers.In this method, a test vehicle is designed to capture sleeper images similar to visual inspection by human operator and the raw data for pattern recognition approach is provided from the captured images of the wooden sleepers. The data from the NDT method were further processed and appropriate features were extracted.The collection of data by the NDT method is to achieve high accuracy in reliable classification results. A key idea is to use the non supervised classifier based on the features extracted from the method to discriminate the condition of wooden sleepers in to either good or bad. Self organising map is used as classifier for the wooden sleeper classification.In order to achieve greater integration, the data collected by the machine vision system was made to interface with one another by a strategy called fusion. Data fusion was looked in at two different levels namely sensor-level fusion, feature- level fusion. As the goal was to reduce the accuracy of the human error on the rail sleeper classification as good or bad the results obtained by the feature-level fusion compared to that of the results of actual classification were satisfactory.

Gender Equality a case study of Sweden : Gender Equality Gender Equity and policies of combating inequality at workplace to make the society equal.

The paper analyses Gender Equality, Gender Equity and policies of combating inequality at workplace to make the society equal as a case study of Sweden. The aim of paper is see the gender equality, gender equity, discrimination against women at workplace and to describe the policies combating inequality in the welfare state of Sweden. This work highlights the gender equality in terms of institutionalizing gender equality, gender equity, gender and pay gap, parental leave, gender and the pension system and sexual behavior directed towards women and policies combating inequality to bring equality in society. For my research I used the secondary data the fact sheets, scientific literature, statistics from eurostate of Sweden and case studies about Swedish society and the theoretical explanation to explain the phenomena. To achieve my aim I used the combination of both qualitative and quantitative methods of research. I showed the empirical evidences of these phenomena from the Swedish society and theoretical analysis about equality and equity of gender in different wakes of life. I found an interesting conclusion that there are good policies and legislation to combat inequality to bring society but there are no policies to change the perception of society about male and female role.

Work, care, gender equality and the problem of ‘instrumental’ social policies

Sociologisk Forsknings digitala arkiv

Usability of government websites in Uganda

Government websites offer great benefits to citizens and governments. Such benefits, however,cannot be realized if websites are unusable. This study investigates usability of government websites in Uganda.Using the feature investigation method, the study evaluated four Ugandan government websites according tothree perspectives. Results show that websites are partially usable in the design layout and navigationperspectives but are rather weak in stating legal policies. Evaluation results provide the Ugandan governmentwith a clear picture of what needs to be improved according to international website design standards. Moreover,the parsimonious evaluation framework proposed in the research is useful for any country that wants to do aquick and easy evaluation of their government websites.