The aim of this study is to look how the Social Service has handled custody issues. The study has a legal and social aspect with a purpose to investigate how the law affects the social administration as well as the family. During a period of one year a quantitative and qualitative study was performed within the social administration in a nearby community. The study focus is partly on the relationship between the law, family and society. The main questions have been: Which one of the parents, mother or father, did in fact get the custody and why? How has the children’s point of view been reported in the inquiry? A child needs a well organized everyday life in a preferably conflict free environment. The result shows that the mothers are most often presented as the child’s main provider but it´s not related to gender. The main reason is the child´s need to stability, security and structure in everyday life and therefore the authority often chose to not change the child´s existing resident and surroundings. We have also found out that more focus must be put on the child’s wish, they need to be considered. For the best interest of the child!

Personer med autism behöver ha människor runt omkring sig som förstår dem, vilket kräver kunskap både om autism och om den specifika individen. För att kunna uppnå detta behövs ett fungerande samarbete mellan föräldrar och personal. Syftet med denna studie var att jämföra personal och föräldrars syn på personer med autism. För att undersöka detta genomfördes 10 intervjuer som analyserades med meningskoncentrering som analysmetod. Resultatet visade att föräldrar och personal betonade olika delar av störningen. Föräldrar ansåg sig ha samma syn som personal, medan personalen ansåg sig ha en annan syn än föräldrarna, något som kunde bero på att de hade olika referensgrupper i åtanke. Samarbetet ansågs kunna förbättras genom att ha fler möten. Resultaten bekräftar tidigare forskning.

Abstract     In global arena there exists a trend to engage in strategic alliances.  The alliances are assumed to be addressing the existing resource gaps that various organizations have. Not only for-profit organizations have a need to fill in the gap, but also non-profit organizations. Various types of alliances are formed to satisfy various needs. One particular form of alliances will be discussed in this thesis is the learning alliance, which is organized in a way to facilitate the knowledge transfer between the partners involved. More specifically, the learning alliance between the university and service companies will be discussed. Even though there has been done studies examining university – industry cooperations, yet they have focused on Natural Science faculties and industry cooperations, while Business Schools did not receive much attention from the researchers. Thus, this thesis will attempt to fill in this research gap by conducting a research on Umeå School of Business and service companies to be able to produce a model for a successful learning alliance      In order to pursue the targeted aim, a qualitative study with semi-structured interviews was conducted. Moreover, a mix of deductive and inductive approach was adopted to facilitate the research.      The analysis indicated that in order to facilitate a successful learning alliance between the Umeå School of Business and service companies, certain requirements should be fulfilled. In particular, the rationale for alliance engagement should be knowledge sharing and knowledge types should create a collective strength. Moreover, the structure of the actual co-operations should satisfy the needs of all the actors involved and there should be adopted practices or experiential and organizational learning to benefit from the learning alliance. In addition, it was identified that the alliance organizers should consider the problems as well, which might affect the performance of the alliance. Finally, the result of the study is presented in the model designed by the authors based on prior theories and the analysis of the respondent’s comments.

Recovery of human pose from videos has become a highly active research area in the last decade because of many attractive potential applications, such as surveillance, non-intrusive motion analysis and natural human machine interaction. Video based full body pose estimation is a very challenging task, because of the high degree of articulation of the human body, the large variety of possible human motions, and the diversity of human appearances. Methods for tackling this problem can be roughly categorized as either discriminative or generative. Discriminative methods can work on single images, and are able to recover the human poses efficiently. However, the accuracy and generality largely depend on the training data. Generative approaches usually formulate the problem as a tracking problem and adopt an explicit human model. Although arbitrary motions can be tracked, such systems usually have difficulties in adapting to different subjects and in dealing with tracking failures. In this thesis, an accurate, efficient and robust human pose tracking system from a single view camera is developed, mainly following a generative approach. A novel discriminative feature is also proposed and integrated into the tracking framework to improve the tracking performance. The human pose tracking system is proposed within a particle filtering framework. A reconfigurable skeleton model is constructed based on the Acclaim Skeleton File convention. A basic particle filter is first implemented for upper body tracking, which fuses time efficient cues from monocular sequences and achieves real-time tracking for constrained motions. Next, a 3D surface model is added to the skeleton model, and a full body tracking system is developed for more general and complex motions, assuming a stereo camera input. Partitioned sampling is adopted to deal with the high dimensionality problem, and the system is capable of running in near real-time. Multiple visual cues are investigated and compared, including a newly developed explicit depth cue. Based on the comparative analysis of cues, which reveals the importance of depth and good bottom-up features, a novel algorithm for detecting and identifying endpoint body parts from depth images is proposed. Inspired by the shape context concept, this thesis proposes a novel Local Shape Context (LSC) descriptor specifically for describing the shape features of body parts in depth images. This descriptor describes the local shape of different body parts with respect to a given reference point on a human silhouette, and is shown to be effective at detecting and classifying endpoint body parts. A new type of interest point is defined based on the LSC descriptor, and a hierarchical interest point selection algorithm is designed to further conserve computational resources. The detected endpoint body parts are then classified according to learned models based on the LSC feature. The algorithm is tested using a public dataset and achieves good accuracy with a 100Hz processing speed on a standard PC. Finally, the LSC descriptor is improved to be more generalized. Both the endpoint body parts and the limbs are detected simultaneously. The generalized algorithm is integrated into the tracking framework, which provides a very strong cue and enables tracking failure recovery. The skeleton model is also simplified to further increase the system efficiency. To evaluate the system on arbitrary motions quantitatively, a new dataset is designed and collected using a synchronized Kinect sensor and a marker based motion capture system, including 22 different motions from 5 human subjects. The system is capable of tracking full body motions accurately using a simple skeleton-only model in near real-time on a laptop PC before optimization.

This thesis addresses the principles of cinematography and their significance for the visual outcome of a film. The purpose is to examine the importance of the principles for modern film and this is done through a study on how the principles are used and not used in the films Children of Men and Clerks II. The two films investigated are both known for being experimental and modern in their use of cinematography, and was therefore found suitable for this thesis. The limitation with this study is that only the four main principles of cinematography are analysed: camera angles, framings, points of view and camera movement, and they are only analysed in one shot from each film examined. In the results, the four main principles were investigated when and when not applied in the specific shot from each film. In the film Children of Men the breaking of the principle of point of view was most central, but the principle of framings and camera movement were in some cases also not applied. The only principle actually followed in this shot was the principle of camera angles. In the other film examined, Clerks II, the breaking of the principle of camera movement and camera angles was most central together with the breaking of the 180 degree rule. The principles that were followed in this clip were framings and points of view. In the conclusion the results were discussed and also the possibility of effects on the viewer, when breaking the principles. Different ideas of possible effects on the viewer were presented, but they all had disorientation in common. The possible outcome of disregarding the principles of cinematography ended up being misleading the viewer away from the narrative.

Depth-Image-Based Rendering (DIBR) of virtual views is a fundamental method in three dimensional 3-D video applications to produce dierent perspectives from texture and depth information, in particular the multi-viewplus-depth (MVD) format. Artifacts are still present in virtual views as a consequence of imperfect rendering using existing DIBR methods. In this paper, we propose an alternative DIBR method for MVD. In the proposed method we introduce an edge pixel and interpolate pixel values in the virtual view using the actual projected coordinates from two adjacent views, by which cracks and disocclusions are automatically lled. In particular, we propose a method to merge pixel information from two adjacent views in the virtual view before the interpolation; we apply a weighted averaging of projected pixels within the range of one pixel in the virtual view. We compared virtual view images rendered by the proposed method to the corresponding view images rendered by state-of-theart methods. Objective metrics demonstrated an advantage of the proposed method for most investigated media contents. Subjective test results showed preference to dierent methods depending on media content, and the test could not demonstrate a signicant dierence between the proposed method and state-of-the-art methods.

When Fredrik Reinfeldt during the TV4 broadcasting of the Ice hockey World Cup final in 2013 was titled Prime Minister instead of State minister it caused a twitter storm. Denominantions are important to us because they are so closely tied to our identity. We may even get upset on behalf of others. A language reform concerning personal pronouns therefore affect many. The gender- neutral pronoun hen received much media attention in 2012. Emotions ran high among both proponents and opponents who shared their opinions on various forums. In this study, seven debate articles that appeared in Swedish metropolitan press in 2012 are being analyzed from a rhetorical perspective. The intention is to investigate whether the debate is being conducted around the same topos, if misleading arguments occur, and to understand if proponents and opponents are trying to persuade each other and readers of their opinion. The result shows that the arguments often revolve around the same topos, but rests on such different values ​​that a comprehension between the parties does not seem likely in the current situation.

The purpose of this study is to examine how the internationalization process in small firms impacts their resource base renewal. The relationships between organizational learning, dynamic capabilities, operational capabilities and resources are empirically examined to determine the impact of internationalization on changes to the firm’s resource base. The empirical analysis follows a multiple case study research methodology and is based on in depth case studies of four internationalized professional service firms in Ontario. Cases include born-global and born-again global firms, exemplifying both location-based and knowledge-based services. The study finds evidence supporting the relationships between internationalization, organizational learning and planned change via dynamic capabilities, as well as internationalization, organizational learning and ad hoc problem solving. Findings also suggest that the firms’ repetitive use of ad hoc problem solving when faced with similar situations leads to the creation of dynamic capabilities. This research adds to the existing body of literature on services, international entrepreneurship and strategy by responding to a call for empirical examination of organizational learning within the RBV and DC constructs. Furthermore, it also applies a novel theoretical framework with which to examine the impact of small firm internationalization and their strategic renewal. By doing so, this thesis extends the RBV and DC perspectives to small service firms. Findings demonstrate a need to further continue this research path to gain greater understanding of the change processes that occur during the evolution of the firm’s resource base, as pertains to small knowledge-intensive service firms.

This dissertation investigates whether and why social structure influences cooperative organizational strategic decision making in an international relations context, and in particular, similar voting in the United Nations General Assembly (UNGA). The economic and institutional embeddedness of organizations which are operationalized using network concepts are posited as and found to be influences. Additionally, nested institutional embeddedness is investigated in an inter-organizational setting. Based on a sensitivity analysis, nested organizational embeddedness can potentially have both negative and positive effects. Multiple issues and network methodology combined with an enormous and varied data set offer a wide-range of future research opportunities. More specifically, trade, military alliances, diplomatic visits, and two-mode International Government Organizational (IGO) networks affect voting behaviour in the UNGA due to power and influence relationships that demand or encourage organizational level reciprocity, either as vote buying in backroom bargaining situations or for compliance reasons; maintaining the nation’s good reputation is of importance in international relations. Each type of inter-organizational network involves an interesting theoretical twist that makes it worth researching and while theory testing is the primary objective, outcomes include practical implications for negotiators. Finally, an advantageous data set offers an excellent context for unique and successful testing of embeddedness view concepts in tighter causal relationships compared to other studies that observe performance rather than decision outcomes. Moreover, the methodological approach is a demonstration of how to deal with a multi-faceted econometric challenge.

Acquisition of 3D model of real objects and scenes is indispensable and useful in many practical applications, such as digital archives, game and entertainment industries, engineering, advertisement. There are 2 main methods for 3D acquisition : laser-based reconstruction (active method) and image-based reconstruction from multiple images of the scene in different points of view (passive method). While laser-based reconstruction achieves high accuracy, it is complex, expensive and difficult to set up for large-scale outdoor reconstruction. Image-based, or multi-view stereo methods are more versatile, easier, faster and cheaper. By the time we begin this thesis, most multi-view methods could handle only low resolution images under controlled environment. This thesis targets multi-view stereo both both in large scale and high accuracy issues. We significantly improve some previous methods and combine them into a remarkably effective multi-view pipeline with GPU acceleration. From high-resolution images, we produce highly complete and accurate meshes that achieve best scores in many international recognized benchmarks. Aiming even larger scale, on one hand, we develop Divide and Conquer approaches in order to reconstruct many small parts of a big scene. On the other hand, to combine separate partial results, we create a new merging method, which can merge automatically and quickly hundreds of meshes. With all these components, we are successful to reconstruct highly accurate water-tight meshes for cities and historical monuments from large collections of high-resolution images (around 1600 images of 5 M Pixel images)