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This thesis explores a 3D object detection and pose estimation approach based on the point pair features method presented by Drost et. al. [Dro+10]. While pose estimation methods have shown good improvements, they still remain a crucial problem on the computer vision field. In this work, we implemented a program that takes point cloud scenes as input and returns the detected object with their estimated pose. The program fully covers an object detection pipeline by processing 3D models during an offline phase, extracting their point pair features and creating a global descriptor out of them. During an online phase, the same features are extracted from a point cloud scene and are matched to the model features. After the voting scheme, potential poses of the object are retrieved. The poses end being clustered together and post-processed to finally deliver a result. The program was tested using simulated and real data. We evaluate these tests and present the final results, by discussing the achieved accuracy of the detections and the estimated poses.
Künstliche Intelligenz (KI) hat sich in den letzten Jahren in der Gesellschaft stark ver-breitet und auch in Unternehmen einen zunehmenden Einsatz gefunden. Bekannt für den Einsatz sind meistens große internationale Konzerne, welche eine führende Position in den Märkten einnehmen. Um Deutschland als KI-Standort zu stärken, hat deshalb die Bundesregierung 2018 beschlossen, mit 5 Milliarden Euro deutsche Unternehmen in der Verwendung von KI zu fördern. Stand September 2021 wurden von diesen allerdings nur 346 Millionen abgerufen, wodurch sich die Frage stellt, wie besonders kleine und mittlere Unternehmen (KMUs) in Deutschland mit dem Thema KI umgehen.
Ziel dieser Arbeit ist es deshalb, die Perspektive der KMUs auf Akzeptanzkriterien, Hindernisse und Potenziale des Einsatzes von KI zu untersuchen. Um die Forschungs-fragen zu beantworten, wurde eine qualitative Interviewstudie mit fünf KMUs durchge-führt, welche im Anschluss mit dem Ansatz der qualitativen Inhaltsanalyse nach May-ring ausgewertet wurde.
Die Arbeit zeigt, dass Unternehmen ein großes Interesse am Thema KI haben und sich der Einsatz immer weiter verbreitet. KMUs sehen viel Potenzial durch den Einsatz der neuen Technologie, sehen aber noch einige Hindernisse, die es zu überwinden gilt.
This thesis deals with the question of which success factors apply to social media marketing. German start-up companies are examined for this purpose. The investigation is based on ten semi-structured expert interviews, which are evaluated using a qualitative content analysis. The results show that there are many success factors and that companies proceed differently in many areas when implementing social media marketing measures. Important success factors are a tailor-made, company-specific social media strategy with a clear formulation of goals, integration of social media marketing into the corporate strategy, openness to new social media trends, credibility and reputation, compliance with data protection, the correct handling of criticism, use of social media as a market research tool and a long-term social media strategy. However, the significance of the results should not be overestimated, since this is a qualitative study with a limited range and only examines individual cases. Further research on the success factors could be based on quantitative studies or group discussions in which experts or users or customers are interviewed. Another possibility is the qualitative examination of the user-generated content.
Usability experts conduct user studies to identify existing usability problems. An established method is to record gaze behavior with an eye-tracker. These studies require a lot of effort to evaluate the results. Automated recognition of good and bad usability in recorded user data can support usability experts in eye tracking evaluation and reduce the effort. The objective of that bachelor thesis is to identify suitable eye-tracking metrics that correlate with the quality of usability. For this purpose, the central research question is answered: Which eye-tracking metrics correlate with the quality of a web form’s operation? To answer the research question, a quantitative A/B-user-study with eye-tracking was conducted and recorded the
gaze behavior of 30 subjects while filling out the web form. The web form was designed, that each web form page was available as a good and bad variant according to known usability guidelines. The results confirm a significant correlation between the eye-tracking-metric "number of visits to an
AOI" and the quality of the operation of a web form. The eye-tracking-metrics
"number of fixations within an AOI" and "duration of fixations within an AOI" also correlate with the quality of usability. No correlation could be confirmed for the "time of the first fixation within an AOI".
Social media platforms such as Twitter or Reddit allow users almost unrestricted access to publish their opinions on recent events or discuss trending topics. While the majority of users approach these platforms innocently, some groups have set their mind on spreading misinformation and influencing or manipulating public opinion. These groups disguise as native users from various countries to spread frequently manufactured articles, strong polarizing opinions in the political spectrum and possibly become providers of hate-speech or extremely political positions. This thesis aims to implement an AutoML pipeline for identifying second language speakers from English social media texts. We investigate style differences of text in different topics and across the platforms Reddit and Twitter, and analyse linguistic features. We employ feature-based models with datasets from Reddit, which include mostly English conversation from European users, and Twitter, which was newly created by collecting English tweets from selected trending topics in different countries. The pipeline classifies language family, native language and origin (Native or non-Native English speakers) of a given textual input. We evaluate the resulting classifications by comparing prediction accuracy, precision and F1 scores of our classification pipeline to traditional machine learning processes. Lastly, we compare the results from each dataset and find differences in language use for topics and platforms. We obtained high prediction accuracy for all categories on the Twitter dataset and observed high variance in features such as average text length especially for Balto-Slavic countries.
Regarding the rising amount of legal regulations, businesses should get the opportunity to use software to fulfill their Compliance Management with the usage of compliance pattern. These patterns are used to represent substantive and structural parts of the processes. This means companies can increase their efficiency and react to new regulations quickly to avoid possible violation which can lead to monetary losses or legal consequences. In the literature are many approaches that deal with compliance pattern but currently there does not exist any list with necessary compliance pattern that companies should face at (Delfmann and Hübers, 2015). The following bachelor thesis classifies 80 research contributions regarding their different approaches of compliance pattern. For that a systematic literature review was executed. As a result, the author developed a graphical classification context that provides an overview of connections between different compliance approaches. Furthermore, an appendix with 32 compliance patterns of the analyzed papers was developed that contains real-world patterns with the classification of the previous sections.
In dieser Arbeit wird die Konzeption, Implementierung und Evaluierung einer Augmented Reality-App beschrieben. Diese wurde mit dem Ziel entwickelt, Objekte im realen Raum mit virtuellen Hilfsmitteln auszumessen, sodass diese Anwendung einen Holzgliedermaßstab ersetzen kann. Hinzu kommt die praktische Speicherung der Messwerte. Angefertigt wurde die App mit der Unity Engine und programmiert in C#.
Schwerpunkte dieser Arbeit sind die Benutzerfreundlichkeit der App, sowie die Eignung von AR Foundation für das Ausmessungstool.
Die Anwendung wird auf die genannten Kriterien im Rahmen eines Nutzertests in einer abschließenden Evaluation bewertet.
Als Ergebnis ließ sich festhalten, dass sich die AR-App noch im Prototyp-Stadium befindet, aber im Allgemeinen schon als benutzerfreundlich gilt. Kleinere Änderungen sollen und müssen noch vorgenommen werden, um auch den Umgang mit dem AR-Tool zu vereinfachen.
Molecular dynamics (MD) as a field of molecular modelling has great potential to revolutionize our knowledge and understanding of complex macromolecular structures. Its field of application is huge, reaching from computational chemistry and biology over material sciences to computer-aided drug design. This thesis on one hand provides insights into the underlying physical concepts of molecular dynamics simulations and how they are applied in the MD algorithm, and also briefly illustrates different approaches, as for instance the molecular mechanics and molecular quantum mechanics approaches.
On the other hand an own all-atom MD algorithm is implemented utilizing and simplifying a version of the molecular mechanics based AMBER force field published by \big[\cite{cornell1995second}\big]. This simulation algorithm is then used to show by the example of oxytocin how individual energy terms of a force field function. As a result it has been observed, that applying the bond stretch forces alone caused the molecule to be compacted first in certain regions and then as a whole, and that with adding more energy terms the molecule got to move with increasing flexibility.
In der Computergrafik stellte die Berechnung von Reflexionen lange ein
Problem dar. Doch mit der ständigen Weiterentwicklung der Hardware
und Vorstellung neuer Verfahren ist eine realitätsnahe,
echtzeitfähige(durchschnittlich 60 FPS) Berechnung von Reflexionen möglich. In der folgenden Ausarbeitung werden verschiedene Reflexionsverfahren vorgestellt. Alle mathematischen und physikalischen Grundlagen werden gegeben, um die Algorithmen nachvollziehen zu können. Da eine Reflexion immer das Abtasten eines reflektierten Vektors bedeutet, werden zwei verschiedene Abtastungsverfahren für blickabhängige Reflexionen vorgestellt und anschließend implementiert. Zuletzt werden die Verfahren auf Basis von Qualität und Performance gegenübergestellt.
Digital Transformation is a main enabler for technological change in today’s society and corporate structures. Companies of all sizes have to face up the change. The com-plexity of the innovations is constantly growing. More and more information and knowledge are needed to build a basis for renewal. Different capabilities, such as highly qualified employees, material resources and the correct handling with these information, constitute the background for the advancement. Compared to large companies, small and medium sized companies (SMEs) are struggling more with these circum-stances. This leaves potential capabilities to optimize daily routines unused.
Challenges here are different internal and external barriers. Examples for that are the lack of IT expertise and innovation culture. Hence it is very important, to show SMEs the advantages of the innovation process within the scope of digital transformation. Cost savings, improvement of IT infrastructure or optimization of their business processes, are drivers that should be adopted in the awareness of SMEs.
Recommendations for action are needed, also with the support of information management. This includes information management, strategic management for external an internal information and the selection of an appropriate IT infrastructure. However dynamic management skills and sufficient IT expertise also complement the digitization process.
This becomes clear from the literature analysis following the principles of Webster and Watson (2002). The Concept mapping and the concept matrix serves to support the process. They are presenting the key words and showing the most important works of the bachelor thesis. The argumentation of the bachelor thesis based on this.
Literaturanalyse und Darstellung aktueller Forschungsschwerpunkte zum Thema Entrepreneurial Strategy
(2019)
Entrepreneurial Strategy ist in der Literaturwelt weit verbreitet. Dieser Begriff fand schon im 20. Jahrhundert seine Anwendung und zieht sich bis ins heutige Zeitalter weiter. Diese Beständigkeit und Entwicklung des Entrepreneurs und dem Wunsch nach einem eigenen Unternehmen trieben die Diskussion dieses Themas voran. Die Wahl der passenden unternehmerischen Strategie ist eine der wichtigsten Entscheidungen, die ein Unternehmer treffen muss. Diese Problematik sorgte für eine Analyse und genaue Forschung der Entscheidungen und Einflussfaktoren. Resultate davon wurden festgehalten und interpretiert um die Branche der Entrepreneure zu fördern und somit die Wirtschaft anzutreiben. In der vorliegenden Arbeit wird zunächst ein Grundverständnis für die wichtigsten Begrifflichkeiten ausgearbeitet. Grundlage dieser Bachelorarbeit ist jedoch, anhand einer Literaturanalyse nach Webster und Watson (2002) einen Einblick in die Forschung der Entwicklung von Entrepreneurial Strategy zu geben und den aktuellen Stand herauszuarbeiten. Anahnd dieser Literaturanalyse werden Referenzen, Konzepte und die Notwendigkeit von Strategien verdeutlicht und die Rolle in einem Start-Up erklärt. Aus der Analyse und dem Vergleich zu älteren Veröffentlichungen geht hervor, das der Prozess der Strategiefindung eine Differenzierung in zwei Teile aufweist. Es wird unter dem Strategiesuch- und dem Strategieauswahlprozess uinterschieden. Merkmale, die früher als Allgemeine Einflussfaktoren für die Wahl der Strategie angenommen wurden, werden in der heutigen Literatur den genauen Prozessen und Phasen zugeteilt. Das Resultiert, das Merkmale, wie die persönlichen Eigenschaften, die Umgebung und das Humankapital eines Unternehmers mehr Einfluss während dem Suchprozess haben als während der darauffolgenden Auswahl. Zudem wurden für die Auwahl Methoden und Richtlinien entwickelt, die dem Unternehmer helfen sollen seine Alternativen zu sortieren und daraus zu wählen.
A growing flood of advertising and information as well a limited capacity to collect information present a challenge to marketing today. Marketing in general is very important for the success of a company. But the classic marketing theory which ignores the special characteristics of young companies dominates. A new company with a new idea and a new product meets an existing market with customers and established competitors. For an innovation-related founding context this is a special challenge.
In this bachelor thesis the subjects, entrepreneurship and marketing will be discussed first. In addition the special characteristics of young companies, the so-called liabilities will be explained. The meaning of the term entrepreneurial marketing is explained by detailed consideration of the close and wide conceptual understanding. Afterwards the comparison clarifies the difference to the classic marketing. As part of the literature review, the current state of research will be presented and the practical use will be examined in more detail based on the central approaches. The approaches are the guerrilla marketing, ambient marketing, sensation marketing, viral marketing and ambush marketing. How entrepreneurial marketing with the central approaches is used in a start-up company is analyzed by a qualitative investigation in the form of a case study.
The case study shows that unconventional marketing measures and low use of medium can have a large effect. The entrepreneurial marketing therefore offers an alternative to classic marketing because it pays attention to the special characteristics of a young start-up company. This bachelor thesis shows that the entrepreneurial marketing can convert the weaknesses of young founding companies into strengths and lead to superiority over the competition.
This bachelor thesis deals with the conception, implementation and evaluation of a Jump'n'Run game and the consideration of the influence of achievment systems on players. In the game Age of Tunes you play Bardur, the beardless bard and have to try to free the cursed magical creatures in the world Harmonica. The emphasis of the thesis was the clean conception and gradual development of the game, appealing graphic quality, integration of opponents, a mini-game and the consideration of effects of an achievment system on players. In a final evaluation the game and the behavior could be evaluated regarding the achievments.
The goal of this work is the induction, conception, implementation and evaluation of an interactive game application among Android. The game genre of the app is a 2D-Jump ‘n’ Run Side-Scroller, whose graphical implementation is based on the four elements earth, fire, water and wind. The application should have classic functions of a Jump ‘n’ Run game and allow the player to overcome the four game worlds to find the finish. The implementation is based on Unity Engine and Adobe Photoshop. A user test asks basic questions about the application and specific questions about the research question, which are then evaluated. The research question examines the connection between fun factor and color perception while playing the app. Represented by the natural color combinations of the four elements. At the end possibilities for expansion and future prospects will be discussed.
The following bachelor thesis gives an overview of various approaches and techniques for procedural generation of three-dimensional city models. Especially the usage of generative grammars is being examined and later used for the implementation of an own application. Its focus was the embedding of predetermined primary street networks as well as the procedural generation of secondary street networks and different kinds of buildings. The application allows the efficient creation of extensive and variably structured city models. However, there are restrictions regarding the realism and variation of the results.
In dieser Arbeit wird das Echtzeitrendering von Wolken von der Theorie bis hin zur Entwicklung derselben behandelt. Dabei sollen die visuellen Eigenschaften der Wolken sowie die unterschiedliche Wolkentypen simuliert werden. Dabei ist die Berechnung der Beleuchtung essentiell für ein glaubwürdiges Ergebnis. Die Rendertechniken nutzen dabei unterschiedliche Noise-Texturen; für die Modulierung der Wolken sind es hauptsächlich Perlin- und Perlin-Worley-Texturen. Das Rendern der Wolken wird per Compute-Shader durchgeführt um die Echtzeitfähigkeit zu gewährleisten. Um die Performance zu steigern, werden Temporal Reprojektion und andere Optimierungstechniken angewendet.
This Bachelor thesis describes the conception, implementation and evaluation of a playful augmented reality application for mobile devices. Building on the ARCore SDK, the game pARcours was developed, where the player can place virtual objects in the real environment to build their own parcours. This must be flown through with a likewise virtual aircraft. The main focus in the implementation of the game was on the interaction with the virtual objects and the collision detection of these with real surfaces. Furthermore, various input methods for building the parcours and controlling the aircrafts were examined. In a final evaluation both the game and the various input methods could be evaluated, as well as ARCore with regard to the development of augmented reality applications.
This thesis deals with the conception and implementation of an action role-playing game using the game engine Unity. Within the context of an evaluation, the game was supposed to be evaluated with regard to the usability of the integrated control modes, the visual conviction of the animations and the user-friendliness of the tools and visualizations provided. In addition, weaknesses and problems in the game were to be identified through open feedback. The results of the evaluation showed that the game is still expandable in terms of usability and user-friendliness, but has left a good impression on the test persons.
Simulation von Rauch
(2019)
This bachelor thesis deals with the simulation of smoke in a particle
system. Here the possibilities are investigated to implement smoke as
realistically as possible in a particle system and to calculate it in real time.
The physical simulation is based on the work of Müller and
Ren, who deal with the physical properties of fluids and gases.
The simulation was implemented on the GPU using C++, OpenGL and
the compute shaders available in OpenGL. Special attention was paid
to the performance of the simulation. Hoetzlein techniques are
used to accelerate the particle system. Two acceleration methods were
then implemented and compared. The runtime, but also the used memory
space of the GPU is discussed.