This thesis describes the design and implementation of a prototype LLVM compiler backend, x86-64p, that compiles code written for a DSP architecture, FADER, into executables for the x86-64 architecture. The prototype takes LLVM IR generated for the FADER architecture and compiles x86-64 executables that emulate the properties of the DSP architecture, e.g. the multiple address spaces, the big-endianness and the support for fixed-point arithmetics. The backend is compared to a previous solution, C-Emu, that converts the DSP code to normal C code that is compiled using a normal x86-64 compiler. The two solutions are compared in terms of their correctness, debuggability and performance. The created prototype handles code containing low-level architectural assumptions better than C-Emu. However, the added emulation reduces the debuggability and performance of the generated executables. We have measured a runtime overhead of up to a factor of two compared to C-Emu. We also present some possible solutions for these issues.

Workshop Mensch-Computer-Vernetzung Vergabe der IP-Adressen

Denna undersöknings syfte är att ta reda på om alla är nöjda med adressreformen i Norrtälje kommun. Arbetet tog fem år och var färdigt 2013. Jag har varit i kontakt med några utvalda yrkesverksamheter samt privatpersoner för att ta reda på vad adressreformen inneburit för dem och vad de tycker om den. Det svar jag förväntade mig var att yrkesverksamma var nöjda och bara såg fördelar med reformen, medan privatpersoner inte var nöjda och inte heller har upplevt någon förbättring. Min undersökning visade emellertid att de allra flesta var nöjda med reformen. Den enda som uppgav att adressreformen inneburit krångel var en privatperson vars post hade uteblivit och dessutom fått en påminnelseavgift på en obetald räkning på grund av fel med adresseringen.

Nowdays, when we are running out of public IPv4 addresses, we rely on techniques that at least postpone their complete exhaustion. One of these techniques is a network address translation (NAT). Internet providers require the highest possible bandwidth from devices that perform this task. This thesis compares NAT DPDK, built on top of DPDK framework, with freely available alternatives. This work also extends NAT DPDK with Application-Level Gateway support.

Address parsing is the process of splitting an address string into its different address components, such as street name, street number, et cetera. Address parsing has been quite extensively researched and there exist some state-ofthe-art address parsing solutions, mostly unilingual. In more recent years research has emerged which focuses on multinational address parsing and deep architecture address parsers have been used to achieve state-of-the-art performance on multinational address data. However, training these deep architectures for address parsing requires a rather large amount of address data which is not always accessible. Generally within Natural Language Processing (NLP) data is difficult to come by and most of the NLP data available consists of data from about only 20 of the approximately 7000 languages spoken around the world, so-called high-resource languages. This also applies to address data, which can be difficult to come by for some of the so-called low-resource languages of the world for which little or no NLP data exists. To attempt to deal with the lack of address data availability for some of the less spoken languages of the world, the current project investigates the potential of FewShot Learning (FSL) for multinational address parsing. To investigate this, two few-shot transfer learning models are implemented, both implementations consist of a fine-tuned pre-trained language model (PTLM). The difference between the two models is the PTLM used, which were the multilingual language models mBERT and XLM-R, respectively. The two PTLMs are finetuned using a linear classifier layer to then be used as multinational address parsers. The two models are trained and their results are compared with a state-of-the-art multinational address parser, Deepparse, as well as with each other. Results show that the two models do not outperform Deepparse, but they do show promising results, not too far from what Deepparse achieves on holdout and zero-shot datasets. On a mix of low- and high-resource language address data, both models perform well and achieve over 96% on the overall F1-score. Out of the two models used for implementation, XLM-R achieves significantly better results than mBERT and can therefore be considered the more appropriate PTLM to use for multinational FSL address parsing. Based on these results the conclusion is that there is great potential for FSL within the field of multinational address parsing and that general FSL methods can be used and perform well on multinational address parsing tasks. / Adressavkodning är processen att dela upp en adresssträng i dess olika adresskomponenter såsom gatunamn, gatunummer, et cetera. Adressavkodning har undersökts ganska omfattande och det finns några toppmoderna adressavkodningslösningar, mestadels enspråkiga. Senaste åren har forskning fokuserad på multinationell adressavkodning börjat dyka upp och djupa arkitekturer för adressavkodning har använts för att uppnå toppmodern prestation på multinationell adressdata. Att träna dessa arkitekturer kräver dock en ganska stor mängd adressdata, vilket inte alltid är tillgängligt. Det är generellt svårt att få tag på data inom naturlig språkbehandling och majoriteten av den data som är tillgänglig består av data från endast 20 av de cirka 7000 språk som används runt om i världen, så kallade högresursspråk. Detta gäller även för adressdata, vilket kan vara svårt att få tag på för vissa av världens så kallade resurssnåla språk för vilka det finns lite eller ingen data för naturlig språkbehandling. För att försöka behandla denna brist på adressdata för några av världens mindre talade språk undersöker detta projekt om det finns någon potential för inlärning med få exempel för multinationell adressavkodning. För detta implementeras två modeller för överföringsinlärning med få exempel genom finjustering av förtränade språkmodeller. Skillnaden mellan de två modellerna är den förtränade språkmodellen som används, mBERT respektive XLM-R. Båda modellerna finjusteras med hjälp av ett linjärt klassificeringsskikt för att sedan användas som multinationella addressavkodare. De två modellerna tränas och deras resultat jämförs med en toppmodern multinationell adressavkodare, Deepparse. Resultaten visar att de två modellerna presterar båda sämre än Deepparse modellen, men de visar ändå lovande resultat, inte långt ifrån vad Deepparse uppnår för både holdout och zero-shot dataset. Vidare, så presterar båda modeller bra på en blandning av adressdata från låg- och högresursspråk och båda modeller uppnår över 96% övergripande F1-score. Av de två modellerna uppnår XLM-R betydligt bättre resultat än mBERT och kan därför anses vara en mer lämplig förtränad språkmodell att använda för multinationell inlärning med få exempel för addressavkodning. Utifrån dessa resultat dras slutsatsen att det finns stor potential för inlärning med få exempel inom området multinationall adressavkodning, samt att generella metoder för inlärning med få exempel kan användas och preseterar bra på multinationella adressavkodningsuppgifter.

Internet of Things (IoT) ger stora möjligheter att samla in data för olika syfte som till exempel att estimera antalet personer för att styra värmen i ett rum. Vidare så kan IoT-system automatisera uppgifter som kan hjälpa oss människor. Den här studien syftar till vilken typ av data som kan vara intressant att samla in för att kunna estimera antalet personer på en offentlig plats. Det handlar även om hur känslig data som samlas in kan anonymiseras. För att göra detta så valdes det att undersöka hur MAC-adresser från Bluetooth-enheter skulle fungerar för att uppskatta antalet personer. För att samla in MAC-adresser så utvecklades ett proof of concept-system där en Android-applikation samlade in MAC-adresser som anonymiserades innan de lagrades i en databas. Applikationen anonymiserar den unika MAC-adressen enligt tre nivåer med olika säkerhet. Fältstudier gjordes där antalet personer räknades visuellt sedan gjordes anonymiserade insamlingar av MAC-adresser. Slutsatsen var att Bluetooth blir svårt att använda för att estimera antal personer eftersom alla inte har Bluetooth på. Applikationen som utvecklats påvisar att data kan samlas in säkert och på så sätt inte kränka integritet. / Internet of Things (IoT) provides great opportunities to collect data for different purposes such as to estimate the number of people to control the heat in a room. Furthermore, IoT systems can automate tasks that can help us humans. This study is aimed at the type of data that can be interesting to gather in order to estimate the number of people in a public place. It is also about how sensitive data can be anonymized when gathered. To do this, Bluetooth devices was chosen for investigating how the MAC addresses would work to estimate the number of people. For collecting MAC addresses a proof of concept system was developed, where an Android application was used to collect MAC addresses. These MAC addresses were anonymized before being stored in a database. The application anonymize the unique MAC address according to three levels of security. Field studies were conducted as the number of people were counted visually then anonymous collection of MAC addresses were made. The conclusion was that Bluetooth will be difficult to use for estimating the number of people because not everyone has Bluetooth on. The application developed demonstrates that data can be collected safely and thus does not violate privacy.

Le récent développement des appareils portatifs possédant une interface Wi-Fi (smartphones, tablettes et « wearables ») s'accompagne d'une menace sur la vie privée de leurs utilisateurs, et sur la société toute entière. Ces appareils émettent en continu des signaux pouvant être capturés par un attaquant passif, à l'aide de matériel peu coûteux et de connaissances basiques. Ces signaux contiennent un identifiant unique appelé l'adresse MAC. Pour faire face à cette menace, les acteurs du secteur déploient actuellement une contre-mesure sur les appareils récents: le changement aléatoire de l'adresse MAC. Malheureusement, nous montrons que cette mesure, dans son état actuel, n'est pas suffisante pour empêcher le traçage des appareils. Pour cela, nous introduisons plusieurs attaques basées sur le contenu et la répartition temporelle des signaux. En complément, nous étudions les implémentations du changement aléatoire de l'adresse MAC sur des appareils récents, et trouvons un certain nombre de manquements limitant l'efficacité de ces implémentations à prévenir le traçage. En parallèle, nous effectuons deux études de terrain. La première s'attaque au développement des acteurs exploitant les problèmes cités plus haut afin d'installer des systèmes de traçage basés sur le Wi-Fi. Nous listons certaines de ces installations et examinons plusieurs aspects de ces systèmes : leur régulation, les implications en terme de vie privée, les questions de consentement et leur acceptation par le public. La seconde étude concerne la progression du changement aléatoire d'adresse MAC dans la population des appareils. Finalement, nous présentons deux outils : le premier est un système de traçage expérimental développé pour effectuer des tests et sensibiliser le public aux problèmes de vie privée liés à de tels systèmes. Le second estime l'unicité d'un appareil en se basant sur le contenu des signaux qu'il émet, même si leur identifiant est modifié. / The recent spread of everyday-carried Wi-Fi-enabled devices (smartphones, tablets and wearable devices) comes with a privacy threat to their owner, and to society as a whole. These devices continuously emit signals which can be captured by a passive attacker using cheap hardware and basic knowledge. These signals contain a unique identifier, called the MAC address. To mitigate the threat, device vendors are currently deploying a countermeasure on new devices: MAC address randomization. Unfortunately, we show that this mitigation, in its current state, is insufficient to prevent tracking. To do so, we introduce several attacks, based on the content and the timing of emitted signals. In complement, we study implementations of MAC address randomization in some recent devices, and find a number of shortcomings limiting the efficiency of these implementations at preventing device tracking. At the same time, we perform two real-world studies. The first one considers the development of actors exploiting this issue to install Wi-Fi tracking systems. We list some real-world installations and discuss their various aspects, including regulation, privacy implications, consent and public acceptance. The second one deals with the spread of MAC address randomization in the devices population. Finally, we present two tools: an experimental Wi-Fi tracking system for testing and public awareness raising purpose, and a tool estimating the uniqueness of a device based on the content of its emitted signals even if the identifier is randomized.

The purpose of this study is to explore the nature of socio-cultural rules underlying address behaviour in face-to-face interactions in Xitsonga. In the study, a socio-pragmatic approach is used. This approach is a combination of sociolinguistics and pragmatics. Data are collected using semi-structured interviews from 29 participants in Hlanganani region. Hlanganani is a Xitsonga speech community located in Limpopo Province, South Africa. The participants were selected in terms of five variables, namely their age, gender, marital status, educational status and occupation. Five theories are tested in this study, namely Brown and Gilman’s (1968) theory of power and solidarity, Brown and Levinson’s (1987) politeness theory, the theory of accommodation, the theory of universal grammar and the Gricean theory of conversation. The study finds that Hlanganani is an age-set society in that the age of a person is the primary determiner of address choice. The male gene also receives superior status in address behaviour in Xitsonga. It is also found that women are given the same lower status as children. It is observed that women’s statuses reflect their graduation in terms of marriage and the production of children. It is recommended that more studies of a similar kind should be undertaken based on either different speech communities or on a comparative basis of particularly African languages. Such studies will go a long way in describing similarities and differences in both the linguistic and the social structures of different cultures. / African Languages / D. Litt. et Phil. (African Languages)

<p>At the centre of this study lies the question of how research-related media texts contribute to the social construction of sex and gender conceptions when they use research, either as a main source, or to support or comment on specific issues and statements, from the political arena, for example. The principal aim of the study has been to analyze and problematize the ways in which different types of newspapers, genres and editorial sections reproduce, or contribute to change, in existing gender discourses. </p><p> The material was collected from two Swedish newspapers during the year 2001: the national morning paper Dagens Nyheter (DN), and the national evening paper Aftonbladet. </p><p>The theories of discourse, agenda-setting and -framing in this study are related to the questions: what kinds of knowledge on women and men, and biological, physiological, psychological, social and cultural perspectives on sex/gender are represented; how are they described; and how do content and form contribute to the (re)production of, or change in, gender discourses? The main analytical perspectives are those about gender discourse (re)production, genres as ideological forms, and the epistemologies of journalism. </p><p> A combination of analytical strategies and methods was used: content and thematic analysis, and qualitative analysis of text and language with methodological tools from different traditions of discourse analysis. </p><p> In my study, I can see an interplay between research traditions and genre conventions in the (re)production of gender discourses. Since the news sections repeatedly choose to publish research as empiric and in the form of results, and then within that, primarily findings from medicine and the social sciences, these areas are reproduced as important and relevant, and as producers of objective, true knowledge that can be presented as simple facts. Research-related texts in culture journalism, on the other hand, follow the tradition of primarily treating research within the humanities, and nowadays also gender and queer theoretical perspectives within different disciplines. Through the genre conventions of culture journalism, this research is reproduced as something that you can reflect upon, problematize, criticize, form an opinion of, and judge.</p><p> The study also gives reason to argue that media logic and institutionalized genre conventions contribute to the reproduction of science and research as different worlds and cultures, in which the natural sciences and the humanities are found in different media spaces, and different forms of knowledge about sex/gender are given space on different conditions and in different forms. </p>

At the centre of this study lies the question of how research-related media texts contribute to the social construction of sex and gender conceptions when they use research, either as a main source, or to support or comment on specific issues and statements, from the political arena, for example. The principal aim of the study has been to analyze and problematize the ways in which different types of newspapers, genres and editorial sections reproduce, or contribute to change, in existing gender discourses. The material was collected from two Swedish newspapers during the year 2001: the national morning paper Dagens Nyheter (DN), and the national evening paper Aftonbladet. The theories of discourse, agenda-setting and -framing in this study are related to the questions: what kinds of knowledge on women and men, and biological, physiological, psychological, social and cultural perspectives on sex/gender are represented; how are they described; and how do content and form contribute to the (re)production of, or change in, gender discourses? The main analytical perspectives are those about gender discourse (re)production, genres as ideological forms, and the epistemologies of journalism. A combination of analytical strategies and methods was used: content and thematic analysis, and qualitative analysis of text and language with methodological tools from different traditions of discourse analysis. In my study, I can see an interplay between research traditions and genre conventions in the (re)production of gender discourses. Since the news sections repeatedly choose to publish research as empiric and in the form of results, and then within that, primarily findings from medicine and the social sciences, these areas are reproduced as important and relevant, and as producers of objective, true knowledge that can be presented as simple facts. Research-related texts in culture journalism, on the other hand, follow the tradition of primarily treating research within the humanities, and nowadays also gender and queer theoretical perspectives within different disciplines. Through the genre conventions of culture journalism, this research is reproduced as something that you can reflect upon, problematize, criticize, form an opinion of, and judge. The study also gives reason to argue that media logic and institutionalized genre conventions contribute to the reproduction of science and research as different worlds and cultures, in which the natural sciences and the humanities are found in different media spaces, and different forms of knowledge about sex/gender are given space on different conditions and in different forms.