Due to the transformation of different recommendation system from contentbased to hybrid cross-domain-based, there is an urge to prepare a socialnetwork dataset which will provide sufficient data as well as detail-level annotation from a predefined hierarchical clothing category and attribute based vocabulary by considering user interactions. However, existing fashionbased datasets lack either in hierarchical-category based representation or user interactions of social network. The thesis intends to represent two datasets- one from photo-sharing platform Instagram which gathers fashionistas images with all possible user-interactions and another from online-shop Zalando with every cloths detail. We present a design of a customized crawler that enables the user to crawl data based on category or attributes. Moreover, an efficient and collaborative web-solution is designed and implemented to facilitate large-scale hierarchical category-based detaillevel annotation of Instagram data. By considering all user-interactions, the developed solution provides a detail-level annotation facility that reflects the user’s preference. The web-solution is evaluated by the team as well as the Amazon Turk Service. The annotated output from different users proofs the usability of the web-solution in terms of availability and clarity. In addition to data crawling and annotation web-solution development, this project analyzes the Instagram and Zalando data distribution in terms of cloth category, subcategory and pattern to provide meaningful insight over data. Researcher community will benefit by using these datasets if they intend to work on a rich annotated dataset that represents social network and resembles in-detail cloth information. / Med tanke på trenden inom forskning av rekommendationssystem, där allt fler rekommendationssystem blir hybrida och designade för flera domäner, så finns det ett behov att framställa en datamängd från sociala medier som innehåller detaljerad information om klädkategorier, klädattribut, samt användarinteraktioner. Nuvarande datasets med inriktning mot mode saknar antingen en hierarkisk kategoristruktur eller information om användarinteraktion från sociala nätverk. Detta projekt har syftet att ta fram två dataset, ett dataset som insamlats från fotodelningsplattformen Instagram, som innehåller foton, text och användarinteraktioner från fashionistas, samt ett dataset som insamlats från klädutbutdet som ges av onlinebutiken Zalando. Vi presenterar designen av en webbcrawler som är anpassad för att kunna hämta data från de nämnda domänerna och är optimiserad för mode och klädattribut. Vi presenterar även en effektiv webblösning som är designad och implementerad för att möjliggöra annotering av stora mängder data från Instagram med väldigt detaljerad information om kläder. Genom att vi inkluderar användarinteraktioner i applikationen så kan vår webblösning ge användaranpassad annotering av data. Webblösningen har utvärderats av utvecklarna samt genom AmazonTurk tjänsten. Den annoterade datan från olika användare demonstrerar användarvänligheten av webblösningen. Utöver insamling av data och utveckling av ett system för webb-baserad annotering av data så har datadistributionerna i två modedomäner, Instagram och Zalando, analyserats. Datadistributionerna analyserades utifrån klädkategorier och med syftet att ge datainsikter. Forskning inom detta område kan dra nytta av våra resultat och våra datasets. Specifikt så kan våra datasets användas i domäner som kräver information om detaljerad klädinformation och användarinteraktioner.

Throughout the years of space exploration, the usage of Earth observation satellites has increased tremendously. The usage today extends beyond optical sensors, encompassing radars, infrared, and laser sensors. For this thesis, the usage of optical, synthetic aperture radar, and LiDAR sensors were looked at to see if the fusion of these different sensors could enhance the overall image quality. A crucial aspect of satellite image fusion, regardless of sensor type, is preprocessing to ensure the individual images can be seamlessly merged. Ultimately these preprocessing steps are individual to both the sensors and even different satellites. The topic of remote sensing and satellite image fusion is extensive and complex. Therefore, this thesis aims to explore various fusion techniques, data sources, and algorithms to contribute to a deeper understanding of the advantages but mostly challenges associated with multisensor satellite image fusion. A web scraper was developed to collect data from the European Space Agency’s Third Party Mission website, a central repository for satellite missions and Earth images. The scraper made it possible to select different satellites and find the image areas which they had in common. A way to process this data is then presented on how to process the images and finally fuse them. The three fusion algorithms that were used were a simple weighted average, intensity hue saturation, and the pansharpening method. The pansharpening increased both the spatial and spectral resolution whereas the fusion of the optical and synthetic aperture radar gave some mixed results. There are a lot of things that could be explored in the future, such as utilizing more complex fusion algorithms or using additional satellite sensors. However, the web scraper and the processing flowchart stand as notable achievements of this thesis, simplifying the entire process of multisensor satellite image fusion. / Genom åren har användningen av jordobservationsatelliter ökat avsevärt inom rymdforskning. Användningen sträcker sig idag bortom optiska sensorer och inkluderar även radar-, infraröd- och lasersensorer. I detta examensarbete undersöks användningen av optiska, syntetisk aperturradar- och LiDARsensorer för att se om fusionen av dessa olika sensorer kan förbättra helhetsbilden av ett område. En avgörande aspekt av satellitbildsfusion, oavsett sensortyp, är förbehandling för att säkerställa att de individuella bilderna kan smidigt integreras. Slutligen är dessa förbehandlingsteg specifika för både sensorerna och olika satelliter. Ämnet fjärranalys och fusion av satellitbilder är omfattande och komplext. Därför syftar detta examensarbete till att utforska olika fusionsmetoder, datakällor och algoritmer för att bidra till en djupare förståelse för fördelarna och utmaningarna med multisensor fusion av satellitbilder. Ett av huvudproblemen under examensarbetet var datainsamling och databehandling. För att överkomma detta utvecklades en webbskrapare för att samla in data från European Space Agencys Third Party Mission hemsida, en central databas för satellituppdrag och bilder av jorden. Skrapan möjliggjorde valet av olika satelliter och identifieringen av gemensamma bildområden. En metod för databehandling presenteras sedan för att bearbeta bilderna och slutligen förena dem. De tre fusionsalgoritmerna som användes var en enkel viktad medelvärdesmetod, intensitetssättning och pansharpening. Pansharpening ökade både den spatiala och spektrala upplösningen, medan fusionen av optiska och syntetisk aperturradar gav blandade resultat. Det finns många områden som kan utforskas i framtiden, såsom användning av mer komplexa fusionsalgoritmer eller ytterligare satellitsensorer. Sammanfattande kan webbskrapan och behandlingsflödet ses som betydande framsteg i detta examensarbete och förhoppningsvis förenkla hela processen med multisensor fusion av satellitbilder.

Ce travail de thèse porte sur l'étalement de fluides complexes. Il met en évidence la riche phénoménologie d'un acte simple : celui d'étaler avec un racloir (rigide ou souple) une émulsion ou une solution de polymères sur un substrat. Pour chacun des fluides modèles étudiés, nous nous sommes focalisés expérimentalement sur l'observation de l'écoulement au cours de l'entraînement de la solution. Dans des conditions données d'étalement, il apparaît qu'une émulsion o/w peut s'inverser via plusieurs mécanismes de déstabilisation, ou encore, dans le cas d'une solution de polymères, exhiber une instabilité de sa ligne de contact, donnant naissance à des filaments de tailles et de longueurs d'ondes spécifiques. Nous montrons que les différents paramètres d'étalement, comme par exemple la hauteur du racloir, la vitesse d'étalement, les propriétés du substrat ou encore la rhéologie des solutions, doivent être pris en compte pour construire des diagrammes de phase d'étalement séparant les domaines d'existence des instabilités observées (régime de recouvrement partiel), des domaines où la solution transite vers le recouvrement total du substrat. D'autre part, nous tirons l'avantage de ces instabilités pour nous permettre de déposer de façon contrôlée des structures variées, offrant d'intéressantes perspectives en termes d'applications. / This study shows the rich phenomenology of a simple act : spreading complex solutions such as emulsion and polymer solution on a plate, by using a rigid and flexible blade respectively. Here, we experimentally study the flow of the solution over the course of its spreading. During the spreading and in certain conditions, different phenomena occur, namely, emulsion inversion in the case of o/w emulsion or a contact line instability in the case of the polymer solution, which gives rise to the formation of polymer filaments with a well-defined wavelength and characteristic sizes. We showed, thanks to spreading phase diagrams, that the the existence of the instability (partial wetting regime) is separated to a domain where the solution cover the substrate. Spreading parameters such as the height of the scraper, spreading velocity or properties of the fluids turns out to be crucial. Finally, we take advantage of the instabilities to print a variety of interesting patterns for further applications.

As common vulnerabilites and exposures are detected, they are also discussed in various social platforms. The problem is that only a few of the posts made about them, are getting enough attention. This leads to an unawareness of potential and critical threats against systems. It is therefore important to look for patterns that make certain vulnerabilites more or less discussed. To do so, a framework was made for collecting discussions around cybersecurity and more specific vulnerabilites/exposures called CVE from Reddit. In addition, some of the desired data was collected from Twitter. Thereafter, the sentiments of the collected posts were calculated to see patterns between popular subreddits and the attitude shown in them. This was done with three methods: Flair, TextBlob and Vader. The results showed for instance that general discussions about information security were considered to be more positive than discussions of common vulnerabilites and exposures. Another result showed that the spread of CVEs that have a partial impact, are higher in Reddit, and is increasing almost exponentially. CVSS scores showed that a CVE with a CVSS score of around 7 is more likely to appear. Many CVEs in Reddit was also discussed before and after they were disclosed. The implication of this work might be that more and more people might use Reddit to discuss specific types of CVEs in a suitable subreddit, as well as being aware of common vulnerabilites and exposures, in order to prevent future threats.

This paper presents a piece of software to automatically extract requirements captured in Microsoft Word files while using domain knowledge. In a subsequent step, these requirements are enhanced for implementation purposes and ultimately saved to ReqIF, an XML-based file format for the exchange of specification documents. ReqIF can be processed by a wide range of industry-standard requirements management tools. By way of this enhancement a formalization of both the document structure and selected elements of its natural language contents is achieved. In its current version, the software was specifically developed for processing the Subset-026, a conceptually demanding specification document covering the core functionality of the pan-European train protection system ETCS. Despite this initial focus, the two-part design of this thesis facilitates a generic applicability of its findings: Section 2 presents the fundamental challenges of weakly structured specification documents and devotes a large part to the computation of unique, but human-readable requirement identifiers. Section 3, however, delves into more domain-specific features, the text processing capabilities, and the actual implementation of this novel software. Due to the open-source nature of the application, an adaption to other use-cases can be achieved with comparably little effort. / Diese Arbeit befasst sich mit einer Software zur automatisierten Extraktion von Anforderungen aus Dokumenten im Microsoft Word Format unter Nutzung von Domänenwissen. In einem nachgelagerten Schritt werden diese Anforderungen für Implementierungszwecke aufgewertet und schließlich als ReqIF, einem XML-basierten Dateiformat zum Austausch von Spezifikationsdokumenten, gespeichert. ReqIF wird von zahlreichen branchenüblichen Anforderungsmanagementwerkzeugen unterstützt. Durch die Aufwertung wird eine Formalisierung der Struktur sowie ausgewählter Teile der natürlichsprachlichen Inhalte des Dokuments erreicht. Die jetzige Version der Software wurde speziell für die Verarbeitung des Subset-026 entwickelt, eines konzeptionell anspruchsvollen Anforderungsdokuments zur Beschreibung der Kernfunktionalität des europaweiten Zugsicherungssystems ETCS. Trotz dieser ursprünglichen Intention erlaubt die zweigeteilte Gestaltung der Arbeit eine allgemeine Anwendung der Ergebnisse: Abschnitt 2 zeigt die grundsätzlichen Herausforderungen in Bezug auf schwach strukturierte Anforderungsdokumente auf und widmet sich dabei ausführlich der Ermittlung von eindeutigen, aber dennoch menschenlesbaren Anforderungsidentifikatoren. Abschnitt 3 befasst sich hingegen eingehender mit den domänenspezifischen Eigenschaften, den Textaufbereitungsmöglichkeiten und der konkreten Implementierung der neuen Software. Da die Software unter open-source Prinzipien entwickelt wurde, ist eine Anpassung an andere Anwendungsfälle mit relativ geringem Aufwand möglich.

This paper presents a piece of software to automatically extract requirements captured in Microsoft Word files while using domain knowledge. In a subsequent step, these requirements are enhanced for implementation purposes and ultimately saved to ReqIF, an XML-based file format for the exchange of specification documents. ReqIF can be processed by a wide range of industry-standard requirements management tools. By way of this enhancement a formalization of both the document structure and selected elements of its natural language contents is achieved. In its current version, the software was specifically developed for processing the Subset-026, a conceptually demanding specification document covering the core functionality of the pan-European train protection system ETCS. Despite this initial focus, the two-part design of this thesis facilitates a generic applicability of its findings: Section 2 presents the fundamental challenges of weakly structured specification documents and devotes a large part to the computation of unique, but human-readable requirement identifiers. Section 3, however, delves into more domain-specific features, the text processing capabilities, and the actual implementation of this novel software. Due to the open-source nature of the application, an adaption to other use-cases can be achieved with comparably little effort.:1 Introduction 13 1.1 Motivation 14 1.2 Previous formalization attempts 15 2 Processing specification documents 17 2.1 Structural considerations 17 2.1.1 The input format: DOC 18 2.1.2 Different parts of a specification document 20 2.1.3 The output format: ReqIF 20 2.2 Enhancing requirement content 23 2.2.1 Visualizing dependencies 25 2.2.2 Querying for data 25 2.3 Computing requirement identifiers 28 2.3.1 Unwinding complex structures: Tables 33 2.3.2 Unwinding complex structures: Other structures 37 2.3.3 Summary 38 3 The tool 41 3.1 Basic usage 41 3.1.1 Dealing with embedded media 43 3.2 ReqIF output 45 3.2.1 Data associated with a requirement artifact 46 3.2.2 Links between requirement artifacts 52 3.2.3 Issues with IBM DOORS 55 3.3 Content formalization 56 3.3.1 Detection of recurring elements 56 3.3.2 Sublist dependencies 58 3.3.3 Intra-cell requirements 59 3.3.4 Unformalizable elements 61 3.4 Inner workings 62 3.4.1 List hierarchy algorithm 64 3.4.2 Techniques for natural language content 69 3.5 Comparison to other tools 72 3.6 Applying this tool to other documents 74 3.7 EN 50128 tool qualification 76 4 Outlook 77 5 Conclusion 79 A Appendices 83 A.1 Postprocessing statistics data 83 A.1.1 Clean up spurious external links 83 A.1.2 Merge data of several tool runs 84 A.2 Subset-026 keywords 85 A.2.1 Legal obligation 85 A.2.2 Weak words 85 A.2.3 Other keywords for the implementerEnhanced-field 86 Lists of Figures, Tables and Listings 87 Glossary 89 Terms specific to this thesis 92 Bibliography 93 / Diese Arbeit befasst sich mit einer Software zur automatisierten Extraktion von Anforderungen aus Dokumenten im Microsoft Word Format unter Nutzung von Domänenwissen. In einem nachgelagerten Schritt werden diese Anforderungen für Implementierungszwecke aufgewertet und schließlich als ReqIF, einem XML-basierten Dateiformat zum Austausch von Spezifikationsdokumenten, gespeichert. ReqIF wird von zahlreichen branchenüblichen Anforderungsmanagementwerkzeugen unterstützt. Durch die Aufwertung wird eine Formalisierung der Struktur sowie ausgewählter Teile der natürlichsprachlichen Inhalte des Dokuments erreicht. Die jetzige Version der Software wurde speziell für die Verarbeitung des Subset-026 entwickelt, eines konzeptionell anspruchsvollen Anforderungsdokuments zur Beschreibung der Kernfunktionalität des europaweiten Zugsicherungssystems ETCS. Trotz dieser ursprünglichen Intention erlaubt die zweigeteilte Gestaltung der Arbeit eine allgemeine Anwendung der Ergebnisse: Abschnitt 2 zeigt die grundsätzlichen Herausforderungen in Bezug auf schwach strukturierte Anforderungsdokumente auf und widmet sich dabei ausführlich der Ermittlung von eindeutigen, aber dennoch menschenlesbaren Anforderungsidentifikatoren. Abschnitt 3 befasst sich hingegen eingehender mit den domänenspezifischen Eigenschaften, den Textaufbereitungsmöglichkeiten und der konkreten Implementierung der neuen Software. Da die Software unter open-source Prinzipien entwickelt wurde, ist eine Anpassung an andere Anwendungsfälle mit relativ geringem Aufwand möglich.:1 Introduction 13 1.1 Motivation 14 1.2 Previous formalization attempts 15 2 Processing specification documents 17 2.1 Structural considerations 17 2.1.1 The input format: DOC 18 2.1.2 Different parts of a specification document 20 2.1.3 The output format: ReqIF 20 2.2 Enhancing requirement content 23 2.2.1 Visualizing dependencies 25 2.2.2 Querying for data 25 2.3 Computing requirement identifiers 28 2.3.1 Unwinding complex structures: Tables 33 2.3.2 Unwinding complex structures: Other structures 37 2.3.3 Summary 38 3 The tool 41 3.1 Basic usage 41 3.1.1 Dealing with embedded media 43 3.2 ReqIF output 45 3.2.1 Data associated with a requirement artifact 46 3.2.2 Links between requirement artifacts 52 3.2.3 Issues with IBM DOORS 55 3.3 Content formalization 56 3.3.1 Detection of recurring elements 56 3.3.2 Sublist dependencies 58 3.3.3 Intra-cell requirements 59 3.3.4 Unformalizable elements 61 3.4 Inner workings 62 3.4.1 List hierarchy algorithm 64 3.4.2 Techniques for natural language content 69 3.5 Comparison to other tools 72 3.6 Applying this tool to other documents 74 3.7 EN 50128 tool qualification 76 4 Outlook 77 5 Conclusion 79 A Appendices 83 A.1 Postprocessing statistics data 83 A.1.1 Clean up spurious external links 83 A.1.2 Merge data of several tool runs 84 A.2 Subset-026 keywords 85 A.2.1 Legal obligation 85 A.2.2 Weak words 85 A.2.3 Other keywords for the implementerEnhanced-field 86 Lists of Figures, Tables and Listings 87 Glossary 89 Terms specific to this thesis 92 Bibliography 93