Master's Thesis
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- Datenschutz (2)
- 2019 European Parliament Election (1)
- 3D-Scan (1)
- AR (1)
- Association Rules (1)
- Augmented Reality (1)
- BRDF (1)
- Belief change, concept contraction, EL (1)
- Business Process Management Recommender Systems Survey (1)
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This scientific paper deals with the question to which extend the increasing digitization has an impact on work-life balance. Answering this question is the main goal of this study.
To reach this goal a literature review is made, in which it is possible to create a direct correlation between the subjective feel of work-life balance and the perceived stress level. With the help of Antonovsky’s salutogenesis model (1997) from the stress research field, factors are ascertained which determine the perceived stress level and linked with that the perceived work-life balance. These stress-influencing factors are examined through a qualitative content analysis by Mayring (2014) on a base of a problem-centered interview.
The results suggest that the digitization has impact on all these ascertained factors and linked to them on the work-life balance. This shows, that the digitization influences us in almost every aspect of work or private life. Whether this impact is positive or negative towards the work life balance depends on the individual, that assesses this factor. Clear distinctions can be made between people working in an IT-based job and those that do not. In comparison, people with IT-based jobs perceive a substantial better impact of digitization on work-life balance.
Willingness to pay and willingness to accept on a two-sided platform - The use case of DoBeeDo
(2019)
It is widely known that especially for technology-based start-ups, entrepreneurs need to set up the boundaries of the business and define the product/service to offer in order to minimize the risk of failure. The goal of this thesis is to not only emphasize the importance of the business model development and evaluation but also show an example customer validation process for an emerging start-up named DoBeeDo, which is a mobile app operating on a two-sided market. During the process of customer validation a survey has been conducted to evaluate the interest of the target groups as well as the fit of their expectations using the Willingness to Pay and Willingness to Accept measures. The paper includes an analysis and evaluation of the gathered results and assesses whether the execution of the Customer Development Model can be continued.
Diese Arbeit soll das von Dietz und Oppermann entwickelte Planspiel „Datenschutz 2.0“ an den heutigen Alltag der Schüler anpassen, die Benutzung in der Sekundarstufe II ermöglichen und die technischen und gesetzlichen Problematiken des Planspiels beheben. Das mit dem Planspiel aufgegriffene Thema Datenschutz ist im rheinland-pfälzischen Informatik-Lehrplan für die Sekundarstufe II verankert. Hier wird der Begriff Datenschutz in der Reihe „Datenerhebung unter dem Aspekt Datenschutz beurteilen“ genannt. Jedoch werden in dem Planspiel keine Daten erhoben, sondern die selbst hinterlassenen Datenspuren untersucht. Diese Form des Datenschutzes ist im Grundkurs in der vorgeschlagenen Reihe „Datensicherheit unter der Berücksichtigung kryptologischer Verfahren erklären und beachten“ unter dem Thema Kommunikation in Rechnernetzen zu finden. Im Leistungskurs steht die Datensicherheit in gleichbenannter Reihe und Thema und in der Reihe „Datenerhebung unter dem Aspekt Datenschutz beurteilen“ im Thema Wechselwirkung zwischen Informatiksysteme, Individuum und Gesellschaft.
Current political issues are often reflected in social media discussions, gathering politicians and voters on common platforms. As these can affect the public perception of politics, the inner dynamics and backgrounds of such debates are of great scientific interest. This thesis takes user generated messages from an up-to-date dataset of considerable relevance as Time Series, and applies a topic-based analysis of inspiration and agenda setting to it. The Institute for Web Science and Technologies of the University Koblenz-Landau has collected Twitter data generated beforehand by candidates of the European Parliament Election 2019. This work processes and analyzes the dataset for various properties, while focusing on the influence of politicians and media on online debates. An algorithm to cluster tweets into topical threads is introduced. Subsequently, Sequential Association Rules are mined, yielding wide array of potential influence relations between both actors and topics. The elaborated methodology can be configured with different parameters and is extensible in functionality and scope of application.
Tracking is an integral part of many modern applications, especially in areas like autonomous systems and Augmented Reality. For performing tracking there are a wide array of approaches. One that has become a subject of research just recently is the utilization of Neural Networks. In the scope of this master thesis an application will be developed which uses such a Neural Network for the tracking process. This also requires the creation of training data as well as the creation and training of a Neural Network. Subsequently the usage of Neural Networks for tracking will be analyzed and evaluated. This includes several aspects. The quality of the tracking for different degrees of freedom will be checked as well as the the impact of the Neural Network on the applications performance. Additionally the amount of required training data is investigated, the influence of the network architecture and the importance of providing depth data as part of the networks input. This should provide an insight into how relevant this approach could be for its adoption in future products.
Data visualization is an effective way to explore data. It helps people to get a valuable insight of the data by placing it in a visual context. However, choosing a good chart without prior knowledge in the area is not a trivial job. Users have to manually explore all possible visualizations and decide upon ones that reflect relevant and desired trend in the data, are insightful and easy to decode, have a clear focus and appealing appearance. To address these challenges we developed a Tool for Automatic Generation of Good viSualizations using Scoring (TAG²S²). The approach tackles the problem of identifying an appropriate metric for judging visualizations as good or bad. It consists of two modules: visualization detection: given a data-set it creates a list of combination of data attributes for scoring and visualization ranking: scores each chart and decides which ones are good or bad. For the later, an utility metric of ten criteria was developed and each visualization detected in the first module is evaluated on these criteria. Only those visualizations that received enough scores are then presented to the user. Additionally to these data parameters, the tool considers user perception regarding the choice of visual encoding when selecting a visualization. To evaluate the utility of the metric and the importance of each criteria, test cases were developed, executed and the results presented.
The status of Business Process Management (BPM) recommender systems is not quite clear as research states. The use of recommenders familiarized itself with the world during the rise of technological evolution in the past decade.Ever since then, several BPM recommender systems came about. However, not a lot of research is conducted in this field. It is not well known to what broad are the technologies used and how are they used. Moreover, this master’s thesis aims at surveying the BPM recommender systems existing. Building on this, the recommendations come in different shapes. They can be positionbased where an element is to be placed at an element’s front, back or to autocomplete a missing link. On the other hand, Recommendations can be textual, to fill the labels of the elements. Furthermore, the literature review for BPM recommender systems took place under the guides of a literature review framework. The framework suggests 5stages of consecutive stages for this sake. The first stage is defining a scope for the research. Secondly, conceptualizing the topic by choosing key terms for literature research. After that in the third stage, comes the research stage.As for the fourth stage, it suggests choosing analysis features over which the literature is to be synthesized and compared. Finally, it recommends defining the research agenda to describe the reason for the literature review. By invoking the mentioned methodology, this master’s thesis surveyed 18 BPM recommender systems. It was found as a result of the survey that there
are not many different technologies for implementing the recommenders. It was also found that the majority of the recommenders suggest nodes that are yet to come in the model, which is called forward recommending. Also, one of the results of the survey indicated the scarce use of textual recommendations to BPM labels. Finally, 18 recommenders are considered less than excepted for a developing field therefore as a result, the survey found a shortage in the number of BPM recommender systems. The results indicate several shortages in several aspects in the field of BPM recommender systems. On this basis, this master’s thesis recommends the future work on it the results.
Stylized image triangulation
(2019)
Stylized image triangulation is a popular tool of image processing. Results can be found on magazine covers or bought as a piece of art. Common use cases are filters by mobile apps or programs dedicated to automated triangulation. This thesis is based upon a paper that achieves new results formulating the adaptive dynamic triangulation as optimization problem. With this approach, new results concerning visual and technical quality are accomplished. One aim of this thesis is to make this approach accessible to as many users as possible. To reach users, a mobile app called Mesh is designed and implemented. A client-host-system is presented which relieves the app from computing the result requiring a lot of resources. Therefore, transferring the approach to a CPU based solution is part of the thesis. Also, a webserver is implemented that handles the communication between app and algorithm. “Mesh” enables the user to send a arbitrary image to the server whose result can be downloaded.
Part of the research deals with optimizing the method. As the main step, the gradient descent method, which minimizes an approximation error, is examined with three different approaches re-defining the movement of a point: The limitation of the directions of movement in a meaningful manner, diagonal directions and a dynamically repositioning of points are analyzed. Results show no improvement of visual quality using diagonal instead of horizontal and vertical steps. Disallowing a point to take its last position, the limitation of step opportunities results in a loss of visual quality but reaches an intended global error earlier. The dynamically repositioning rests upon a vectorbased solution that weights the directions and applies a factor to each of them. This results in a longer computational time but also in a higher visual quality.
Inspired by the work of Josh Bryan, another part of research aims at imitating an artists style. With the use of pseudo-random events combined with a geometryshader, a more natural look shall be achieved. This method illustrates a way of adding minor details to a rendering. To imitate an artist's work, a more complex and more precise triangulation is needed. As the last aspect, a renderstyle is presented. The style uses a center for its effect moving the triangles of a triangulation apart. The arbitrary choice of placing the centrum enables the renderstyle to be used in animations.