004 Datenverarbeitung; Informatik
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Traditional Driver Assistance Systems (DAS) like for example Lane Departure Warning Systems or the well-known Electronic Stability Program have in common that their system and software architecture is static. This means that neither the number and topology of Electronic Control Units (ECUs) nor the presence and functionality of software modules changes after the vehicles leave the factory.
However, some future DAS do face changes at runtime. This is true for example for truck and trailer DAS as their hardware components and software entities are spread over both parts of the combination. These new requirements cannot be faced by state-of-the-art approaches of automotive software systems. Instead, a different technique of designing such Distributed Driver Assistance Systems (DDAS) needs to be developed. The main contribution of this thesis is the development of a novel software and system architecture for dynamically changing DAS using the example of driving assistance for truck and trailer. This architecture has to be able to autonomously detect and handle changes within the topology. In order to do so, the system decides which degree of assistance and which types of HMI can be offered every time a trailer is connected or disconnected. Therefore an analysis of the available software and hardware components as well as a determination of possible assistance functionality and a re-configuration of the system take place. Such adaptation can be granted by the principles of Service-oriented Architecture (SOA). In this architectural style all functionality is encapsulated in self-contained units, so-called Services. These Services offer the functionality through well-defined interfaces whose behavior is described in contracts. Using these Services, large-scale applications can be built and adapted at runtime. This thesis describes the research conducted in achieving the goals described by introducing Service-oriented Architectures into the automotive domain. SOA deals with the high degree of distribution, the demand for re-usability and the heterogeneity of the needed components.
It also applies automatic re-configuration in the event of a system change. Instead of adapting one of the frameworks available to this scenario, the main principles of Service-orientation are picked up and tailored. This leads to the development of the Service-oriented Driver Assistance (SODA) framework, which implements the benefits of Service-orientation while ensuring compatibility and compliance to automotive requirements, best-practices and standards. Within this thesis several state-of-the-art Service-oriented frameworks are analyzed and compared. Furthermore, the SODA framework as well as all its different aspects regarding the automotive software domain are described in detail. These aspects include a well-defined reference model that introduces and relates terms and concepts and defines an architectural blueprint. Furthermore, some of the modules of this blueprint such as the re-configuration module and the Communication Model are presented in full detail. In order to prove the compliance of the framework regarding state-of-the-art automotive software systems, a development process respecting today's best practices in automotive design procedures as well as the integration of SODA into the AUTOSAR standard are discussed. Finally, the SODA framework is used to build a full-scale demonstrator in order to evaluate its performance and efficiency.
This master- thesis investigates the topic of intercultural web design. Two websites from different countries are exemplarily compared. On the basis of cultural dimensions, cultural differences are presented on each respective website. The analysis particularly focuses on how detailed the respective website-designer and -operator regards their users" cultural differences and the creation of a cross-cultural web design. The analysis illustrates which cultural - and particularly intercultural - aspects of countries were taken into consideration in the design of the web sites. The investigation led to the conclusion that their implementation was not consequently executed for all web sites. Hence, this thesis offers suggestions for the improvement of aspects which are most important in intercultural web design.
Geographic cluster based routing in ad-hoc wireless sensor networks is a current field of research. Various algorithms to route in wireless ad-hoc networks based on position information already exist. Among them algorithms that use the traditional beaconing approach as well as algorithms that work beaconless (no information about the environment is required besides the own position and the destination). Geographic cluster based routing with guaranteed message delivery can be carried out on overlay graphs as well. Until now the required planar overlay graphs are not being constructed reactively.
This thesis proposes a reactive algorithm, the Beaconless Cluster Based Planarization (BCBP) algorithm, which constructs a planar overlay graph and noticeably reduces the number of messages required for that. Based on an algorithm for cluster based planarization it beaconlessly constructs a planar overlay graph in an unit disk graph (UDG). An UDG is a model for a wireless network in which every participant has the same sending radius. Evaluation of the algorithm shows it to be more efficient than the non beaconless variant. Another result of this thesis is the Beaconless LLRAP (BLLRAP) algorithm, for which planarity but not continued connectivity could be proven.
Code package managers like Cabal track dependencies between packages. But packages rarely use the functionality that their dependencies provide. This leads to unnecessary compilation of unused parts and to speculative conflicts between package versions where there are no conflicts. In two case studies we show how relevant these two problems are. We then describe how we could avoid them by tracking dependencies not between packages but between individual code fragments.
This research examines information audit methodologies and information capturing methods for enterprise social software which are an elementary part of the audit process. Information auditing is lacking of a standardized definition and methodology because the scope of the audit process is diversified and dependent on the organization undertaking the audit. The benefits of information auditing and potential challenges of Enterprise 2.0 the audit can overcome are comprehensive and provide a major incentive for managers to conduct an audit. Information asset registers as a starting point for information auditing are not specifically focusing on social software assets. Therefore this research pro-ject combines asset registers from different areas to create a new register suitable for the requirements of Enterprise 2.0. The necssary adaptations caused by the new character of the assets are minor. The case study applying the asset register for the first time however reveals several problematic areas for information auditors completing the register. Rounding up the thesis a template is developed for setting up new work spaces on enterprise social software systems with appropriate metadata taking into account the meaningful metadata discovered in the asset register.
Nutzung von Big Data im Marketing : theoretische Grundlagen, Anwendungsfelder und Best-Practices
(2015)
Die zunehmende Digitalisierung des Alltags und die damit verbundene omnipräsente Datengenerierung bieten für Unternehmen und insbesondere Marketingabteilungen die Chance, Informationen in bisher ungekannter Fülle über ihre Kunden und Produkte zu erhalten. Die Gewinnung solcher Informationen aus riesigen Datenmengen, die durch neue Technologien ermöglicht wird, hat sich dabei unter dem Begriff Big Data etabliert.
Die vorliegende Arbeit analysiert diese Entwicklung im Hinblick auf das Potenzial für die unternehmerische Disziplin des Marketings. Dazu werden die theoretischen Grundlagen des Einsatzes von Big Data im Marketing identifiziert und daraus Anwendungsfelder und Best-Practice-Lösungen abgeleitet. Die Untersuchung basiert auf einer Literaturanalyse zu dem Thema Big Data Marketing, welche neben verschiedenen Studien und Befragungen auch Expertenmeinungen und Zukunftsprognosen einschließt. Die Literatur wird dabei zunächst auf die theoretischen Grundlagen des Konstrukts Big Data analysiert.
Anschließend wird die Eignung von Big Data Lösungen für den Einsatz in Unternehmen geprüft, bevor die Anwendung im Bereich des Marketings konkretisiert und analysiert wird. Es wurde dabei festgestellt, dass anhand der theoretischen Aspekte von Big Data eine starke Eignung für den Einsatz im Rahmen des Marketings besteht. Diese zeichnet sich vor allem durch die detaillierten Informationen über Verhaltensmuster von Kunden und ihre Kaufentscheidungen aus. Weiterhin wurden potenzielle Anwendungsfelder identifiziert, welche besonders im Bereich der Kundenorientierung und der Marktforschung liegen. Im Hinblick auf Best-Practice-Lösungen konnte ein grober Leitfaden für die Integration von Big Data in die Unternehmensorganisation entwickelt werden. Abschließend wurde festgehalten, dass das Thema Big Data eine hohe Relevanz für das Marketing aufweist und dies in der Zukunft maßgeblich mitbestimmen wird.
Software systems are often developed as a set of variants to meet diverse requirements. Two common approaches to this are "clone-and-owning" and software product lines. Both approaches have advantages and disadvantages. In previous work we and collaborators proposed an idea which combines both approaches to manage variants, similarities, and cloning by using a virtual platform and cloning-related operators.
In this thesis, we present an approach for aggregating essential metadata to enable a propagate operator, which implements a form of change propagation. For this we have developed a system to annotate code similarities which were extracted throughout the history of a software repository. The annotations express similarity maintenance tasks, which can then either be executed automatically by propagate or have to be performed manually by the user. In this work we outline the automated metadata extraction process and the system for annotating similarities; we explain how the implemented system can be integrated into the workflow of an existing version control system (Git); and, finally, we present a case study using the 101haskell corpus of variants.
Real-time graphics applications are tending to get more realistic and approximate real world illumination gets more reasonable due to improvement of graphics hardware. Using a wide variation of algorithms and ideas, graphics processing units (GPU) can simulate complex lighting situations rendering computer generated imagery with complicated effects such as shadows, refraction and reflection of light. Particularly, reflections are an improvement of realism, because they make shiny materials, e.g. brushed metals, wet surfaces like puddles or polished floors, appear more realistic and reveal information of their properties such as roughness and reflectance. Moreover, reflections can get more complex, depending on the view: a wet surface like a street during rain for example will reflect lights depending on the distance of the viewer, resulting in more streaky reflection, which will look more stretched, if the viewer is locatedrnfarther away from the light source. This bachelor thesis aims to give an overview of the state-of-the-art in terms of rendering reflections. Understanding light is a basic need to understand reflections and therefore a physical model of light and its reflection will be covered in section 2, followed by the motivational section 2.2, that will give visual appealing examples for reflections from the real world and the media. Coming to rendering techniques, first, the main principle will be explained in section 3 followed by a short general view of a wide variety of approaches that try to generate correct reflections in section 4. This thesis will describe the implementation of three major algorithms, that produce plausible local reflections. Therefore, the developed framework is described in section 5, then three major algorithms will be covered, that are common methods in most current game and graphics engines: Screen space reflections (SSR), parallax-corrected cube mapping (PCCM) and billboard reflections (BBR). After describing their functional principle, they will be analysed of their visual quality and the possibilities of their real-time application. Finally they will be compared to each other to investigate the advantages and disadvantages over each other. In conclusion, the gained experiences will be described by summarizing advantages and disadvantages of each technique and giving suggestions for improvements. A short perspective will be given, trying to create a view of upcoming real-time rendering techniques for the creation of reflections as specular effects.
Information systems research has started to use crowdsourcing platforms such as Amazon Mechanical Turks (MTurk) for scientific research, recently. In particular, MTurk provides a scalable, cheap work-force that can also be used as a pool of potential respondents for online survey research. In light of the increasing use of crowdsourcing platforms for survey research, the authors aim to contribute to the understanding of its appropriate usage. Therefore, they assess if samples drawn from MTurk deviate from those drawn via conventional online surveys (COS) in terms of answers in relation to relevant e-commerce variables and test the data in a nomological network for assessing differences in effects.
The authors compare responses from 138 MTurk workers with those of 150 German shoppers recruited via COS. The findings indicate, inter alia, that MTurk workers tend to exhibit more positive word-of mouth, perceived risk, customer orientation and commitment to the focal company. The authors discuss the study- results, point to limitations, and provide avenues for further research.
This thesis conducts a text and network analysis of criminological files. The specific focus during the research is the field money laundering. The analysis showed the most important concepts present in the text which were classified in eleven different classes. The relationships of those concepts were analysed using ego networks, key entity identification and clustering. Some of the statements given about money laundering could be validated by the findings of this analysis and their interpretation. Specific concepts like banks and organizations as well as foreign subsidiaries were identified. Aggregating these concepts with the statements in chapter 1.4.3 on the circular process of money laundering it can be stated that different organizations and individuals, present in the criminological files, were placing money through different banks, organizations and investments in the legal financial market. At last this thesis tries to validate the benefits of the used tools for the kind of conducted research process. An estimation on ORA's and Automap's applicability for this kind of research is given in the end.