Open Theses  

FIT and Bosch offer in collaboration two Master Theses: Combination of different application specific blockchains and registry of services governed by blockchains

Recently, a new approach for finding maximal frequent patterns (MFPAS) was presented by the supervisor and advisers of this thesis. Several further optimizations of the algorithm are possible. The student working on this thesis will experiment with different optimization possibilities and analyse their effect experimentally. For a master thesis, further theoretical analysis of the optimizations and the original algorithm are necessary. Related paper: M. R. Karim, M. Cochez, O. D. Beyan, C. F. Ahmed, and S. Decker. Mining maximal frequent patterns in transactional databases and dynamic data streams: a spark-based approach. Information Sciences, 2017a

Large scale disasters represent a major challenge for any medical service. Typically such disasters, be they founded in terrorism, natural or technical catastrophize, generate a significant number of casualties (MASCAL – Mass Casualty) with severe and unusual injury patterns. Many processes are supported by Standard Operating Procedures as common practice, but any catastrophe requires a change of processes due to the nature of the disaster and thus furnishes a major challenge for hospital operations. As of now, hospitals and medical services are designed for a specific workload that has been agreed among different stakeholders. Hence, processes and their resources are designed in light of best practices for patient care as well as anticipated workload.

A business model is an abstract model of the business of one or more cooperating organisations. It is a conceptual and architectural implementation of a business strategy and the foundation for the implementation of business processes and information systems. The research objective of this thesis is the design, implementation and evaluation of an interactive tool for the engineering of a business model.

Multimedia content based indexing delivered a lot of models for the analysis of multimedia materials. In modern educational platforms, e.g. MOOCs and self-regulated learning platforms. In consequence, multimedia materials are produced by educational designers but also by the learners during their learning processes. Coherence is a semantic measure for the local and global connectivity of e.g. sentences, paragraphs, videos, slides among others. Computer linguistics has provided impressive results for measuring the quality of writing, e.g. for automatic essay scoring. To measure the coherence of multimedia materials many computational methods reaching from natural language processing to machine learning needs to be combined in a common coherence model. Goal of this master thesis is to co-develop a coherence model for cross-media coherence and to prototypically combine these computational methods for a webinar.

Intelligent user assistant agents and chatbots provide task based interactions and functionality to the user. The objective of the thesis is the user interaction analysis for a given set of tasks, the design of a suitable dialog service based on a semantic knowledge model, and the implementation and evaluation of a functional prototype.

Intelligent agenda planning systems create itineraries for users based on their appointments and activities. The objective of the thesis is the analysis of the user planning task for appointments and activities, the design of a semantic model for the user dialog with an appointment and activity planning system. As proof of concept a functional prototype should be implemented and evaluated.

Approaches such as clustering and classification that are analytically or computationally manageable in low dimensions become intractable as the dimensions increases. This happens because of a phenomenon known as “the curse of dimensionality” which is commonly observed in high dimensional data. Thus the aim of this thesis is to come up with a novel approach for feature clustering, selection, and visualization using the graph theoretical approach of Clique Covers.

The student will implement several stream sampling algorithms and perform experiments to compare their performance. The implementations are done on top of streaming frameworks like Spark, Apache Flink, and Storm.

Reservation, booking and customer hotline services are based on context based dialog management. The objective of the thesis is the analysis of user interactions for different contexts in reservation, booking and customer hotline situations with a dialog management system and the design and implementation of a semantic model for the user dialog with a dialog management system. As proof of concept a functional prototype should be implemented and evaluated.

Travel information services provide itinerary and context based user travel assistance. The objective of the thesis is the analysis of user interactions for different contexts in intermodal travel situations with a travel information assistance system and the design and implementation of a semantic model for the user dialog with a travel information assistance system. As proof of concept a functional prototype should be implemented and evaluated.

NGS Pipeline on Azure Data Lake The development of next-generation sequencing (NGS) technologies at the beginning of the 21st century opened the door for revolutionary study setups which enables access to a long time closed dimension of knowledge in several fields of research like genetics, ecology and medicine. The so called “Ppipeline” is the link between different work steps and corresponding tools within the workflow when analyzing a NGS dataset. Microsoft Azure Data Lake is based on two different services. The Azure Data Lake Store allows to store different types of data in an almost unlimited size. With Azure Data Lake Analytics it’s possible to run massively parallel data transformation and processing programs massively in U-SQL, R, Python, and .NET over petabytes of data stored in the Azure Data Lake Store. In our company, we develop the system BOA , a Pipeline based on Microsoft Azure Data Lake designed for analyzing NGS datasets. In order to achieve maximum performance and optimal results, the data for the various steps are partitioned and analyzed using different algorithms. The input and output of the data within BOA is done via a user-friendly user interface. In addition, the system offers the possibility to analyze the data directly against various reference databases. The goals of this thesis are: - to evaluate different algorithms for data partitioning in the context von RNA sequences - to evaluate different algorithms in different languages (C#, R, Python) to optimize the performance in sequence alignment - to design and implement an incremental loading process of different RNA reference databases for the alignment process

Recently, a new approach for computing the personalized pagerank (PPR) for all nodes in a graph was presented by the adviser of this thesis. Personalized pagerank can be used to determine how important specific nodes in a graph are from the viewpoint of a specific node, or set of nodes. For example, it can be used to determine which web pages are relevant for a user, given a set of pages he has visited before. The improvement which the advisor of the thesis devised is useful when the PPR has to be computed for all nodes in the graph. The gain in speed is due to reuse of already computed PPR values for other nodes and a clever ordering of nodes. The student working on this thesis will experiment with this technique and others. First, the student needs to investigate ways to parallelize the algorithms and analyse the algorithms and their parameters experimentally. For a master thesis, the student has to improve the algorithm to optimize loops and experiment whether other improvements in the ordering pay of (i.e., whether other heuristics for finding the order work better and can be computed fast enough to speed up the overall algorithm). Besides, the student would investigate parallel computation of the order and actual PPR. External resources: https://pdfs.semanticscholar.org/c63e/b92a805c3eb636865ecfbd799fda32194753.pdf http://users.jyu.fi/~miselico/papers/GlobalRDFEmbedding.pdf sections 3.2-4

Semantic technologies and RDF data representation can improve the reusability of scientific data and enable scientist to reproduce the experiments. However there is no tool to support researcher for making their data semantically interpretable by computers. Aim of the thesis is to understand the benefits of semantic web technologies for reproducible research and develop a tool which can convert experimental data to RDF by annotating with selected data models.

Based on our GAMR framework for gamification of mixed reality training we want to explore the design and implementation of mixed reality escape rooms in various educational settings.

In the context of Industry 4.0 and the Internet of Things, the autonomization of cyber physical systems is increasingly coming to the fore. Just imagine an autonomous vehicle that offers commuter services against payment. The electric vehicle has to pay tolls, requires energy from charging stations and employs washing services from time to time. Considering all entities in this process as agents that can interact and carry wallets, one can easily envision a machine-to-machine economy. Technical agents decide what tasks to conduct regarding costs, capabilities and earnings as illustrated by the demonstrators of Smart Replenishment Box and Smart Vehicle Control1.

Often only noticed as a technology that enables the digital currency Bitcoin, blockchain is a novel protocol that allows the distributed and secure storing of information and untempered execution of program code in trust-less environments. Did you ever feel the intense desire to write a thesis about blockchain or do you have a slight hope that blockchain is the one-and-only topic that touches your heart? Use your chance now! We are looking forward to hear from you.

Often only noticed as a technology that enables the digital currency Bitcoin, blockchain is a novel protocol that allows the distributed and secure storing of information and untempered execution of program code in trust-less environments. Did you ever feel the intense desire to write a thesis about blockchain or do you have a slight hope that blockchain is the one-and-only topic that touches your heart? Use your chance now! We are looking forward to hear from you.

Often only noticed as a technology that enables the digital currency Bitcoin, blockchain is a novel protocol that allows the distributed and secure storing of information and untempered execution of program code in trust-less environments. Did you ever feel the intense desire to write a thesis about blockchain or do you have a slight hope that blockchain is the one-and-only topic that touches your heart? Use your chance now! We are looking forward to hear from you.

Prototypes have been proposed recently as a new way to represent knowledge. In recent years many datasets have been published using RDF. Your task is to find out how the RDF dataset can be converted to prototypes in an efficient manner. For a master thesis, you also have to work on the optimal conversion for different requirements such as updates in the original RDF data.

Learning analytics aim at providing an insight into the student’s learning process such that individual performance can be measured and thus provide the basis for individual student support. This thesis will utilize and evaluate existing mentoring solutions and aggregate them in a state-of-the-art progressive Web application. The outcome of this thesis will be a newly developed mentoring cockpit that meets the requirements of a holistic mentoring support experience.