<p>The aim of this thesis is to develop an technical aid (software) to help people with colourblindness. Colour blind people have difficulties to differentiate between certain colours,so the implemented software will name a selected colour. The software is implementedas a Mozilla Firefox extension and also uses a XPCOM component. Furthermore canthe user select different colour databases and change the displaying properties.The aim of this thesis is to develop an technical aid (software) to help people with colourblindness. Colour blind people have difficulties to differentiate between certain colours,so the implemented software will name a selected colour. The software is implementedas a Mozilla Firefox extension and also uses a XPCOM component. Furthermore canthe user select different colour databases and change the displaying properties.</p>

The aim of this thesis is to develop an technical aid (software) to help people with colourblindness. Colour blind people have difficulties to differentiate between certain colours,so the implemented software will name a selected colour. The software is implementedas a Mozilla Firefox extension and also uses a XPCOM component. Furthermore canthe user select different colour databases and change the displaying properties.The aim of this thesis is to develop an technical aid (software) to help people with colourblindness. Colour blind people have difficulties to differentiate between certain colours,so the implemented software will name a selected colour. The software is implementedas a Mozilla Firefox extension and also uses a XPCOM component. Furthermore canthe user select different colour databases and change the displaying properties.

Speedledger is a company that is working to automate electronic accounting for businesses, organizations and associations.In the current situation bank data is sent from the users internet bank to Speedledger via a virtual printer driver. The driver transforms the web page into a PDF and sends it to a server for interpretation.The problem is that PDF is not created for this sort of data transfer and makes the interpretation of data is very problematic. The goal of the thesis is to study whether there is a possibility to develop a browser add-on that can retrieve information on the customer's banking page and send it on to Speedledgers server for interpretation. My task was to implement a add-on for one of the three major browsers Mozilla Firefox, Google Chrome or Microsoft Internet Explorer, and then study the possibility of implementing it to the other two by reading the documentation. What I concluded was that it is possible to implement for all the three browsers. However, the techniques will differ slightly when developing these add-ons.

The goal of the thesis is to study the Mozilla application platform - its structure, used technology, and the ways of development of standalone applications and extensions for the applications based on this platform (e.g. the Firefox web browser, the Thunderbird e-mail client). The thesis also contains relevant information about the used programming languages such as XUL, CSS, JavaScipt, RDF/XML and others. It describes the object oriented principles available in the JavaScript v.1.7 language. Next parts are dedicated to creating and using the platform components and the applications. The information about the platform is concluded by a presentation of the debugging and deployment possibilities. This knowledge is used to create an application able to watch changes of documents in a network environment. The thesis describes the application design and some details related to the general development of applications based on the discussed platform.

Master of Science / Department of Computing and Information Sciences / Doina Caragea / Gurdip Singh / In the recent years, social networks have become an integral part of our lives. Their outgrowth has resulted in opportunities for interesting data mining problems, such as interest or friendship recommendations. A global ontology over the interests specified by the users of a social network is essential for accurate recommendations. The focus of this work is on engineering such an interest ontology. In particular, given that the resulting ontology is meant to be used for data mining applications to social network problems, we explore only hierarchical ontologies. We propose, evaluate and compare three approaches to engineer an interest hierarchy. The proposed approaches make use of two popular knowledge bases, Wikipedia and Directory Mozilla, to extract interest definitions and/or relationships between interests. More precisely, the first approach uses Wikipedia to find interest definitions, the latent semantic analysis technique to measure the similarity between interests based on their definitions, and an agglomerative clustering algorithm to group similar interests into higher level concepts. The second approach uses the Wikipedia Category Graph to extract relationships between interests. Similarly, the third approach uses Directory Mozilla to extract relationships between interests. Our results indicate that the third approach, although the simplest, is the most effective for building an ontology over user interests. We use the ontology produced by the third approach to construct interest based features. These features are further used to learn classifiers for the friendship prediction task. The results show the usefulness of the ontology with respect to the results obtained in absence of the ontology.

The storage space for emails has been increasing at a rapid pace day by day. Email systems still serve as very important data repositories for many users to store different kinds of information which they use in their daily activities. Due to the rapidly increasing volume of email data, there is a need to maintain the data in a most efficient way. It is also very important to provide intuitive and flexible search utilities to provide better access to the information in the email repositories, especially in an enterprise or organizational setting. In order to implement the functionality, we are presenting a tool name TESO. TESO is a tool for email searching using organizational information. This tool is designed to improve the relevancy of the email search by integrating the data from email servers and organizational information from directory services and other resources. We implement this functionality as an add-on for the Mozilla Thunderbird framework, which is an open source email client system developed by the Mozilla Foundation. The results are evaluated using the SQLite and the XML data. This work will serve as a handy tool in the area of existing information integration and keyword search on relational databases techniques and also helps in efficient access of XML information.

This term project deals with digital forensic analysis of web browsers. The first chapters describe the process of forensic analysis, methodologies and procedures used, and also the issues of analysis of web browsers. In particular, the types of information browser stores and security problems that comes with that. Theoretical and practical procedure for obtaining data from Mozilla Firefox web browser was based on the theoretical foundations described in previous chapters. Common linux tools and application created as part of this thesis are used in process of collecting digital evidence. Digital forensic analysis of web broewser was performed based on suggested procedure.

The need for fully automatic translation at DigitalTolk, a Stockholm-based company providing translation services, leads to exploring Automatic Speech Recognition as a first step for Modern Standard Arabic (MSA). Facebook AI recently released a second version of its Wav2Vec models, dubbed Wav2Vec 2.0, which uses deep neural networks and provides several English pretrained models along with a multilingual model trained in 53 different languages, referred to as the Cross-Lingual Speech Representation (XLSR-53). The small English and the XLSR-53 pretrained models are tested, and the results stemming from them discussed, with the Arabic data from Mozilla Common Voice. In this research, the small model did not yield any results and may have needed more unlabelled data to train whereas the large model proved to be successful in predicting the audio recordings in Arabic and a Word Error Rate of 24.40% was achieved, an unprecedented result. The small model turned out to be not suitable for training especially on languages other than English and where the unlabelled data is not enough. On the other hand, the large model gave very promising results despite the low amount of data. The large model should be the model of choice for any future training that needs to be done on low resource languages such as Arabic.

This thesis deals with introduction of Mozilla as a development platform. Thesis is divided into four parts. The first one consists of a theoretical introduction, which describes architecture, the most important technologies and motivation for usage of Mozilla as a development platform. The second part leads step by step threw making own project. The third part is dedicated to description of the example application Tester. Tester is an e-learning project designed for easier learning process with scope on vocabulary practise. In the conclusion of thesis, there is the evaluation of Mozilla platform based on practical experience.

Informationen des Universitätsrechenzentrums