Streaming media is a growing market all over the world which sets a strict requirement on mobile connectivity. The foundation for a good user experience when supplying a streaming media service on a mobile device is to ensure that the user can access the requested content. Due to the varying availability of mobile connectivity measures has to be taken to remove as much dependency as possible on the quality of the connection. This thesis investigates the use of a Long Short-Term Memory machine learning model for predicting a future geographical location for a mobile device. The predicted location in combination with information about cellular connectivity in the geographical area is used to schedule prefetching of media content in order to improve user experience and to reduce mobile data usage. The Long Short-Term Memory model suggested in this thesis achieves an accuracy of 85.15% averaged over 20000 routes and the predictive caching managed to retain user experience while decreasing the amount of data consumed. / <p>This thesis is written as a joint thesis between two students from different universities. This means the exact same thesis is published at two universities (LiU and KTH) but with different style templates. The other report has identification number: TRITA-EECS-EX-2018:403</p>

A presente tese de doutorado está inserida dentro do contexto da área de AOSE – Agent-Oriented Software Engineering, uma área surgida recentemente voltada para a engenharia de software de sistemas multi-agentes que mescla conceitos tanto da Inteligência Artificial como da Engenharia de Software. Esta nova área surgiu devido aos novos desafios enfrentados pelos engenheiros de software ao projetar sistemas multi-agentes, uma vez que este tipo de sistema apresenta características que os diferenciam de outros tipos de software, precisamente o fato de possuírem agentes de software, entidades autônomas e pró-ativas que executam funções no sistema, possuidoras de objetivos próprios e capazes de perceber e agir sobre o ambiente que os cerca sem a intervenção de usuários externos. Este trabalho descreve um metamodelo UML desenvolvido para a modelagem de requisitos funcionais específicos para projetos de sistemas multi-agentes. O seu desenvolvimento baseou-se na constatação de que, apesar de já existirem linguagens derivadas da UML para o projeto de sistemas multi-agentes, nenhuma das linguagens estudadas desenvolveu mecanismos para a modelagem dos requisitos deste tipo de software, o que levou-nos a criar um metamodelo UML para este propósito. No decorrer desta tese serão descritas as linguagens estudadas derivadas da UML para ser aplicadas no projeto de sistemas multi-agentes, o metamodelo desenvolvido, sua adaptação aos princípios de projeto de Vicari (2007), três estudos de caso onde o metamodelo foi aplicado, além de uma proposta de mapeamento dos conceitos definidos no metamodelo para os conceitos das linguagens MAS-ML e AML, bem como uma proposta para a validação do metamodelo e dos diagramas criados por meio dele. / This PhD thesis is inserted within the context of the AOSE (Agent-Oriented Software Engineering) area, a recently-emerged field dealing with the software engineering of multi-agent systems which mixes concepts of Artificial Intelligence and Software Engineering together. This new area emerged from new challenges faced by the software engineers when designing multi-agent systems, since this kind of system presents characteristics that set them apart from other types of software, precisely for including software agents, autonomous and proactive entities that execute functions in the system, owning their own goals and able to perceive and act upon the surrounding environment without the intervention of external users. This work describes a UML metamodel developed for the modeling of the specific functional requirements for multi-agent systems projects. Its development was based on the perception that among the studied UML-derived languages for the multi-agent systems project, none of them had developed mechanisms for requirements modeling on this kind of software, leading us to create a UML metamodel for this purpose. Along this thesis we shall describe the UML-derived languages we studied to be applied in the multi-agent systems project, the developed metamodel, its adaptation to the Vicari (2007) design principles, three case studies on which the metamodel was applied, plus a mapping proposal for the concepts defined in the metamodel into MASML and AML languages concepts, as well as a validation proposal for the metamodel and the diagrams created by means of it.

A presente tese de doutorado está inserida dentro do contexto da área de AOSE – Agent-Oriented Software Engineering, uma área surgida recentemente voltada para a engenharia de software de sistemas multi-agentes que mescla conceitos tanto da Inteligência Artificial como da Engenharia de Software. Esta nova área surgiu devido aos novos desafios enfrentados pelos engenheiros de software ao projetar sistemas multi-agentes, uma vez que este tipo de sistema apresenta características que os diferenciam de outros tipos de software, precisamente o fato de possuírem agentes de software, entidades autônomas e pró-ativas que executam funções no sistema, possuidoras de objetivos próprios e capazes de perceber e agir sobre o ambiente que os cerca sem a intervenção de usuários externos. Este trabalho descreve um metamodelo UML desenvolvido para a modelagem de requisitos funcionais específicos para projetos de sistemas multi-agentes. O seu desenvolvimento baseou-se na constatação de que, apesar de já existirem linguagens derivadas da UML para o projeto de sistemas multi-agentes, nenhuma das linguagens estudadas desenvolveu mecanismos para a modelagem dos requisitos deste tipo de software, o que levou-nos a criar um metamodelo UML para este propósito. No decorrer desta tese serão descritas as linguagens estudadas derivadas da UML para ser aplicadas no projeto de sistemas multi-agentes, o metamodelo desenvolvido, sua adaptação aos princípios de projeto de Vicari (2007), três estudos de caso onde o metamodelo foi aplicado, além de uma proposta de mapeamento dos conceitos definidos no metamodelo para os conceitos das linguagens MAS-ML e AML, bem como uma proposta para a validação do metamodelo e dos diagramas criados por meio dele. / This PhD thesis is inserted within the context of the AOSE (Agent-Oriented Software Engineering) area, a recently-emerged field dealing with the software engineering of multi-agent systems which mixes concepts of Artificial Intelligence and Software Engineering together. This new area emerged from new challenges faced by the software engineers when designing multi-agent systems, since this kind of system presents characteristics that set them apart from other types of software, precisely for including software agents, autonomous and proactive entities that execute functions in the system, owning their own goals and able to perceive and act upon the surrounding environment without the intervention of external users. This work describes a UML metamodel developed for the modeling of the specific functional requirements for multi-agent systems projects. Its development was based on the perception that among the studied UML-derived languages for the multi-agent systems project, none of them had developed mechanisms for requirements modeling on this kind of software, leading us to create a UML metamodel for this purpose. Along this thesis we shall describe the UML-derived languages we studied to be applied in the multi-agent systems project, the developed metamodel, its adaptation to the Vicari (2007) design principles, three case studies on which the metamodel was applied, plus a mapping proposal for the concepts defined in the metamodel into MASML and AML languages concepts, as well as a validation proposal for the metamodel and the diagrams created by means of it.

A presente tese de doutorado está inserida dentro do contexto da área de AOSE – Agent-Oriented Software Engineering, uma área surgida recentemente voltada para a engenharia de software de sistemas multi-agentes que mescla conceitos tanto da Inteligência Artificial como da Engenharia de Software. Esta nova área surgiu devido aos novos desafios enfrentados pelos engenheiros de software ao projetar sistemas multi-agentes, uma vez que este tipo de sistema apresenta características que os diferenciam de outros tipos de software, precisamente o fato de possuírem agentes de software, entidades autônomas e pró-ativas que executam funções no sistema, possuidoras de objetivos próprios e capazes de perceber e agir sobre o ambiente que os cerca sem a intervenção de usuários externos. Este trabalho descreve um metamodelo UML desenvolvido para a modelagem de requisitos funcionais específicos para projetos de sistemas multi-agentes. O seu desenvolvimento baseou-se na constatação de que, apesar de já existirem linguagens derivadas da UML para o projeto de sistemas multi-agentes, nenhuma das linguagens estudadas desenvolveu mecanismos para a modelagem dos requisitos deste tipo de software, o que levou-nos a criar um metamodelo UML para este propósito. No decorrer desta tese serão descritas as linguagens estudadas derivadas da UML para ser aplicadas no projeto de sistemas multi-agentes, o metamodelo desenvolvido, sua adaptação aos princípios de projeto de Vicari (2007), três estudos de caso onde o metamodelo foi aplicado, além de uma proposta de mapeamento dos conceitos definidos no metamodelo para os conceitos das linguagens MAS-ML e AML, bem como uma proposta para a validação do metamodelo e dos diagramas criados por meio dele. / This PhD thesis is inserted within the context of the AOSE (Agent-Oriented Software Engineering) area, a recently-emerged field dealing with the software engineering of multi-agent systems which mixes concepts of Artificial Intelligence and Software Engineering together. This new area emerged from new challenges faced by the software engineers when designing multi-agent systems, since this kind of system presents characteristics that set them apart from other types of software, precisely for including software agents, autonomous and proactive entities that execute functions in the system, owning their own goals and able to perceive and act upon the surrounding environment without the intervention of external users. This work describes a UML metamodel developed for the modeling of the specific functional requirements for multi-agent systems projects. Its development was based on the perception that among the studied UML-derived languages for the multi-agent systems project, none of them had developed mechanisms for requirements modeling on this kind of software, leading us to create a UML metamodel for this purpose. Along this thesis we shall describe the UML-derived languages we studied to be applied in the multi-agent systems project, the developed metamodel, its adaptation to the Vicari (2007) design principles, three case studies on which the metamodel was applied, plus a mapping proposal for the concepts defined in the metamodel into MASML and AML languages concepts, as well as a validation proposal for the metamodel and the diagrams created by means of it.

Magister Theologiae - MTh / The understanding and practice of leadership in Sub-Saharan Africa, in all spheres, is at the heart beat of this work. Questions and concerns over the quality of leadership in most countries in this particular region are reasons which have led to revisit and investigate the formative training of the current cohort of African leadership with a special focus on the ethical aspect of leadership. It is an assumption, in this thesis, that the contemporary cohort of African leadership received their formative training especially in the 1960s and 1970s and that they were deeply influenced by the black consciousness movement and, in association with that, by the emergence of black theology. In this respect, this research project explores the notions of ethics and leadership with a view to determine ways in which an appropriate leadership ethos was portrayed and articulated in the writings of selected exponents of the black theology movement, namely ML King (Jr), Desmond Tutu and Allan Boesak. The purpose of this work is therefore mainly descriptive: to map discourse on a leadership ethos in the context especially of black theology. / South Africa

The aim of this thesis was to examine changing representations of men and masculinities in a particular historical period (“The Sixties”) and to explore the impact that this had in a period of rapid social change in the UK and the legacy of that impact. In order to do this, a multi-method study was developed, combining documentary research with a set of eleven semi-structured interviews. The documentary research took the form of a case study of The Beatles, arguing that their position as a group of men who became a global cultural phenomenon, in the period under study, made theme a suitable vehicle through which to read changing representations of masculinities in this period and to reflect on what this meant for men in UK society. The Beatles’ live action films were chosen as a sample of Beatle “texts” which allowed for the Beatles to be looked at at different points in the “The Sixties” and for possible changes over that time period to be tracked. Textual analysis within discourse analysis (based on a framework suggested by van Dijk [1993], Fairclough [1995] and McKee [2003]) was used to analyse the texts. Ideas advanced by the Popular Memory Group (1982) about the interaction of public representations of the past and private memory of that past were influential in the decision to combine this piece of documentary research with interviews with a sample of men, in an age range of 18 to 74. The interview stage was designed to elicit data on the perception of the participants of the role of representation (with particular reference to the Beatles) of masculinities on them as individuals and their ideas about how this may have had an impact in terms of longer term social change. Ehrenreich’s (1983) notion of a male revolt in the late 1950s, an emergence of a challenge to established ideas about men and masculinity, was also influential, particularly as it is an idea at odds with the “crisis in masculinity” discourse (Tolson, 1977; Kimmel, 1987; Whitehead, 2002) at work in a number of texts on men and masculinity. Examining further Inglis’ (2000b : 1) concept of The Beatles as “men of ideas” with a global reach, the chosen Beatle texts were examined for discourses of masculinity which appeared to be resistant to the dominant. What emerged were a number of findings around resistance, non-conformity, feminised appearance, pre-metrosexuality, the male star as object of desire and The Beatles as a global male phenomenon open to the radical diversity of the world in a period of rapid social change. The role of popular culture within this process was central to the thesis, given its focus on The Beatles as a case study. However, broader ideas about the role of the arts also emerged with a resultant conclusion that “the sixties” is where a recognition of the importance of representation begins as well as a period where representations of gender (as well as class and race) became more accessible due to the rise in popularity of TV in the UK and a resurgence in British cinema. The thesis offers a number of ideas for further research, building on the outcomes of this particular study. These include further work on the competing crisis/ revolt discourse at work in the field of critical men’s studies, ascertaining female perspectives on representations of masculinities and their impact, further work on the Beatles through fans and an application of some of the ideas at work in the thesis to other periods of British history.

In this dissertation, we introduce a novel text representation method mainly used for text classification purpose. The presented representation method is initially based on a variety of closeness relationships between pairs of words in text passages within the entire corpus. This representation is then used as the basis for our multi-level lightweight ontological representation method (TOR-FUSE), in which documents are represented based on their contexts and the goal of the learning task. The method is unlike the traditional representation methods, in which all the documents are represented solely based on the constituent words of the documents, and are totally isolated from the goal that they are represented for. We believe choosing the correct granularity of representation features is an important aspect of text classification. Interpreting data in a more general dimensional space, with fewer dimensions, can convey more discriminative knowledge and decrease the level of learning perplexity. The multi-level model allows data interpretation in a more conceptual space, rather than only containing scattered words occurring in texts. It aims to perform the extraction of the knowledge tailored for the classification task by automatic creation of a lightweight ontological hierarchy of representations. In the last step, we will train a tailored ensemble learner over a stack of representations at different conceptual granularities. The final result is a mapping and a weighting of the targeted concept of the original learning task, over a stack of representations and granular conceptual elements of its different levels (hierarchical mapping instead of linear mapping over a vector). Finally the entire algorithm is applied to a variety of general text classification tasks, and the performance is evaluated in comparison with well-known algorithms.

The doctoral thesis is focused on the microbial production of lactic acid and ethanol using food processing waste as substrate. Coffee processing waste (spent coffee grounds), wine production waste (grape pomace) and orange processing waste (orange peel) were chosen as substrates for experiments. The theoretical part is dedicated to summarizing current knowledge about waste from food production and possibilities of its processing. It also deals with selected metabolites (lactic acid, ethanol) to which these wastes can be used. Part of the experiments was focused on the characterization and optimization of hydrolysis to maximize the amount of fermentable saccharides. Different combinations of chemical, physical and enzymatic hydrolysis of selected substrates have been tested. Subsequently, a suitable strain for lactic acid and ethanol production was searched for. In the case of lactic acid production, 7 bacterial strains were selected (Lactobacillus casei CCM 4798, Bacillus coagulans CCM 2013, Bacillus coagulans CCM 2658, Lactobacillus rhamnosus CCM 1825T, Lactobacillus delbruckii subsp. bulgaricus CCM 7190, Lactobacillus plantarum CCM 7039T, Streptococcus thermophilus CCM 4757). These strains were first cultivated on the synthetic media containing different kind of saccharides. Afterward, the cultivation on the waste biomass hydrolysates were tested. In the case of ethanol production, 2 yeast strains kmeny (S. cerevisiae CNCTC 6646 a S. cerevisiae CNCTC 6651) were cultivated on hydrolysates of individual waste substrates. Subsequently, the experiments focused on the production of lactic acid and ethanol on hydrolysates of waste biomass in bioreactor were done. The last part of this doctoral thesis deals with the microaerobic pretreatment of lignocellulosic biomass to increase the production of organic acids during the acetogenic phase of anaerobic digestion.

Graphene is a material suitable for electronic applications including sensors and biosensors operating in atmospheric conditions and at varying relative humidities. This work concerns the charge diffusion in Hall bar shaped graphene based field effect transistor that is simultaneously investigated by Kelvin probe force microscopy and macroscopic transport measurement. Furthemore it studies the possibilities of graphene Hall bar modification by local anodic oxidation, local cathodic hydrogenation and mechanical lithography.

This master's thesis focuses on smartphone game for iOS, which uses recognition of face features and other information, which can be obtained from a smartphone's camera and sensors. This work describes a few approaches for real-time face detection and then introduces and compares possibilities for such task on iOS. Moreover, the thesis contains a draft of the final game and its levels. The game showcases various technologies in its levels such as object detection, processing an image color and others. Finally, the thesis introduces the final form of the game that is released and available on the App Store.