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It is a fundamental right of every natural person to control which personal information is collected, stored and processed by whom, for what purposes and how long. In fact, many (cloud based) services can only be used if the user allows them broad data collection and analysis. Often, users can only decide to either give their data or not to participate in communities. The refusal to provide personal data results in significant drawbacks for social interaction. That is why we believe that there is a need for tools to control one's own data in an easy and effective way as protection against economic interest of global companies and their cloud computing systems (as data collector from apps, mobiles and services). Especially, as nowadays everybody is permanently online using different services and devices, users are often lacking the means to effectively control the access to their private data. Therefore, we present an approach to manage and distribute privacy settings: PRIVACY-AVARE is intended to enable users to centrally determine their data protection preferences and to apply them on different devices. Thus, users gain control over their data when using cloud based services. In this paper, we present the main idea of PRIVACY-AVARE.
Mit dem Fitnessboom in Deutschland profitiert auch die Nahrungsergänzungsmittelindustrie. Auf Social-Media-Kanälen wie Instagram wird immer sichtbarer wie Influencer der Fitnessbranche mit Produktplatzierungen für Nahrungsergänzungsmittel werben. Diese Arbeit untersucht das neue Marketingphänomen des Influencer Marketings bezogen auf die Nahrungsergänzungsmittelindustrie der Fitnessbranche in Deutschland. Für die Untersuchung wurde eine persönliche Befragung von Fitnessstudiobesuchern durchgeführt. Die Ergebnisse der Studie zeigen, dass das Influencer Marketing eine Rolle für den Erfolg von Herstellern der Nahrungsergänzungsmittelindustrie haben kann und diese neue Marketingdisziplin voller Potenzial steckt.
The thesis introduces a case study research presenting the transfer pricing problem of a selected MNE. Hereby, the researcher derives an appropriate method for the case and concludes with a comparison of theory and practice. The theoretical part of the thesis evaluates existing transfer pricing methods as explained by the OECD, Germany and the USA. The second part is about the choice of the research methodology, case study research and expert interview.
The third part first introduces the case study, analyzes a theoretical framework of the transfer pricing process and evaluates the existing transfer pricing methods, which allows for the derivation of the most appropriate transfer pricing method for the case. The fourth part concludes the research by applying the derived transfer pricing method, the Cost Plus Method, to the particular case study. By combining theoretical and practical approaches, a solution to the problem is determined.
Digitalization has made business virtual. As the current workforce is slowly adapting to it, the “digital natives” come into play.
We all know, that Millennials have a different approach to media and virtuality. They are practically born with it. But how would they perform if they had to use virtual media in a professional setting? Does the experience and the technology surrounded upbringing give them a clear advantage? Or will they struggle with this entirely new dimension of communication the same way older generations do? This Thesis focusses on the challenges of virtual teams, predominantly in cross cultural situations. But especially on how Millennials tackle virtual teams in a global setting, if they did not have extensive prior preparation.
The first part tries to identify the theoretical background of this paper – the classical challenges of cross-cultural communication in virtual teams but also the willingness of Millennials to use digital work tools for their future.
The main segment then introduces data and observations collected on the GVT project - a pilot project from the Hochschule Furtwangen University, where students from Spain, Finland and Germany took part in a simulation of virtual teamwork. In groups, these students had to develop a project about Erasmus at their university – but purely virtual to experience physical borders in teams.
A pre-survey and a post survey have been carried out on this group to analyze and investigate how perception and reality differ. Furthermore, the participants left testemonials and many virtual meetings were monitored.
This Thesis will conclude with chapter 3 to show if Millennials have a valid advantage in working with virtual teams. It will also show the necessity to train young people and change our education to a more digital approach, as business will inevitably become increasingly virtual.
Age-related changes in trunk muscle activity and spinal and lower limb kinematics during gait
(2018)
Trends and Advances in the Characterization of Gas Sensing Materials Based on Semiconducting Oxides
(2018)
Die Frage ob das Elektroauto mittelfristig den Verbrenner in Deutschland ablösen wird beschäftigt momentan Politik und Medien. Aktuell stellen Elektroautos trotz staatlicher Förderung noch ein Nischenprodukt am deutschen Pkw-Markt dar. Die vorliegende Arbeit untersucht innerhalb einer ausführlichen Marktanalyse von Sekundärdaten ob und gegebenenfalls wann Elektroautos in Deutschland den Massenmarkt ansprechen werden. Hierzu wird der deutsche Pkw-Markt mithilfe von Modellen der Diffusionsforschung untersucht. Ziel der Diffusionsforschung ist es, die Verbreitung einer Innovation am Markt im Zeitverlauf zu beschreiben und zu erklären. Es wird dabei herausgearbeitet: welche Käufer Elektroautos momentan ansprechen, welche Faktoren erfüllt sein müssen, dass sich Elektroautos am Massenmarkt in Deutschland durchsetzen können und welche Faktoren den Verlauf der Verbreitung von Elektroautos in Deutsch¬land in Zukunft beeinflussen werden. Aus Basis der gewonnen Erkenntnisse wird schließlich eine Prognose zur zukünftigen Verbreitung von Elektroautos in Deutschland erstellt.
Social Innovations in the extended Lake Constance area – an overview of the current activities
(2018)
In recent years the importance of social innovation for societies is rising. Therefore, the European Union realized, that political goals can be successfully achieved through social innovations.1 The concept is offering solutions for social challenges broadly based and in a variety of different fields Thus, the focus of this paper will be to identify social innovation activities in the Lake Constance area and the problems which are being solved through those activities. It will therefore provide a quantitative analysis of the identified projects including the main idea of the activity as well as information about the innovators. The key outcomes of this paper are, that social innovators are mainly focusing on current political challenges such as the refugee crisis. Problems which the society is already facing for a longer period of time, are less focused. It could further be identified, that the majority of social innovators are students or graduates. Also, most of the activities have their origin in bigger cities such as Stuttgart, Karlsruhe or Heidelberg.
Organized, competitive computer gaming, also referred to as eSports, are emerging sports within the sports entertainment industry. The industry generated almost 700 million U.S. Dollar in revenue and leading eSport titles attract millions of viewers to their events. This study aims to explore eSport live broadcasts of four leading titles and their appeal to be used as a communication media for marketers. It adopted secondary data from academic and scientific studies, journals and books from the fields of eSports, business and sports management to examine commercials, product placements, sponsorships and celebrity endorsements in regards of their applicability and effectiveness within eSports. Quantitative research in form of a survey among eSports viewership was carried out to gather data on viewership consumption patterns and perceptions towards said communication instruments and their effectiveness.
Findings suggest that the effectiveness of commercials rely on the timing shown during broadcasts. Product placements can be applied in many ways and show high effectiveness in terms of brand recognition in any form. Celebrity endorsements are highly ambiguous in terms of their applicability and effectiveness.
In this thesis, new methods for text classification are examined and compared to the current software of the DNB. Due to technical changes in the area machine learning in recent years, improvements in text classification have been achieved. The objective is to improve the subject groups allocation of the DNB and to allow a hierarchical classification based on the DDC system. The decision was made on the HDLTex tool, as the structure of the DNB data set and the DDC system, which supports a hierarchical classification, are perfectly designed for it. The use of RNN networks on both hierarchical levels improved the current software situation. Furthermore, the approach was examined, if a combination of the predictions of the two hierarchies levels leads to an additional improvement, which, however, produced a negative result. Both beginners and experts find themselves as readers of this master's thesis in the target group again.
In dieser Arbeit werden neue Verfahren zur Textklassifizierung untersucht und der aktuellen Software der DNB gegenübergestellt. Durch technische Veränderungen im Bereich Machine Learning in den letzten Jahren, konnten Verbesserungen in der Textklassifizierung erzielt werden. Dabei soll die Sachgruppenvergabe der DNB verbessert und anhand des DDC Systems eine hierarchische Klassifizierung ermöglicht werden. Die Entscheidung fiel auf das HDLTex Tool, da die Struktur des Datensatzes der DNB und das DDC System, welche eine hierarchische Klassifizierung unterstützt, perfekt darauf ausgelegt sind. Durch die Nutzung von RNN Netzen auf beiden Hierarchieebenen konnte eine Verbesserung zu der aktuellen Software erzielt werden. Weiterhin wurde der Ansatz untersucht, ob eine Kombinierung der Vorhersagen der beiden Hierarchieebenen zu einer aufbauenden Verbesserung führt, welches jedoch ein negatives Ergebnis hervorbrachte. Sowohl Anfänger als auch Experten finden sich als Leser dieser Masterarbeit in der Zielgruppe wieder.
The main goal of the study is to analyze students’ buying intention towards e-learning program by developing a structural model of e-learning acceptance by the students and analyzing perceived usefulness, perceived ease of use, attitudes, subjective norms, motivations and buying intentions according to the developed model.
The real-world possibilities for blockchain applications are endless, yet few real-world use cases exist in early 2018 beyond cryptocurrency. Among the many newly initiated and emerging proposals for applications of this unique technology, the area of vehicle emissions provides an opportunity to bring the advantages of cryptography and decentralized databases to the collection and storage of scientific research data. The reporting of vehicle emissions has been a publicly acknowledged area of deceit and scandal, while the cornerstones of blockchain are transparency and consensus. There is, perhaps, a way for this newly expanding technology to provide a disruption to the automotive industry by efficiently and reliably reporting vehicle emissions.
This paper seeks to analyze: the capabilities of an emerging technology when applied to an existing older technology and its utilized environment as well as propose a system for efficiently and reliably collecting and reporting internal combustion engine based vehicle emissions data using blockchain; also, finally, theorize the impact of such a system on the automotive industry.
By combining multiple technologies which already exist in practice, as well as some which are expected to be massively implemented in the near future, it is theoretically possible to establish a blockchain based system for not only recording emissions from every participating vehicle, but also electronically executing a check against local emissions restrictions via smart contracts defined by geo-locational range and GPS referencing. The data can be processed and stored in a way that protects the identity and location history of the driver by assigning responsibility of compliance to the identity of the vehicle. The network can be protected from malicious actors by way of an emissions application specific protocol which involves unique GPS data.
While the short run effects of such a system may be met with pushback from the automotive industry because of increased regulation and impact on sales of internal combustion engine vehicle inventory, the long run effects parallel and may even supplement the future effects of the global trends which make the system possible.
As banks have to close branches in the current low-interest environment and as customers show an increasing preference for online channels, existing channels of branch-centric banks no longer can guarantee to suffice the needs of the omni-channel consumer. Online consultation through video chat, called video banking, is a possible solution for these issues. In order to keep marketing activities effective and cost-efficient, it is of interest for the banking sector to define a socio-demographic target group for video banking.
Thus, the objective of this thesis is to find socio-demographic characteristics which influence the willingness to use video banking. The characteristics deemed as plausible predictors are then tested for their suitability as such through bivariate and multivariate analysis of an empirical study conducted among U.S. bank customers with internet access. The goal of the multivariate analysis is to find the regression model that best predicts the willingness to use video banking. Depending on the outcome, recommendations will be made about the definition of a target group for video banking.
In a worldwide accessible marketplace with numerous competitors who try to beat prices and quality of services and products, it is vital for online businesses to strive for strategies to be able to survive in a competitive environment and to sustain growth. The company Usbstick-Producer has gained numerous customers in the German market, but nevertheless competes against many businesses which offer similar products to similar prices. Therefore, it is highly important to defend gained market share. Appropriate strategies and investments are necessary to implement in order to attract and retain customers.
The bachelor thesis aims to explore the nature of customer retention and to give the company Usbstick-Producer recommendations regarding possible improvements and customer retention strategies for the German market. The company’s goal is to retain more customers and to ensure customer satisfaction in order to guarantee profitability for the business.
In order to attain the objective of the thesis, a multi-method approach is being used. A literature review is carried out in order to develop a comprehensive analysis and theoretical framework on the topic of customer retention and related concepts. An internal and external analysis are conducted which help to understand the key drivers and most important influencing factors for the business using the PEST analysis, Porter’s five forces analysis and SWOT analysis.
Qualitative research is utilised in order to investigate the practical aspects of the topic in direct relation to the company. Valuable insights and expert opinions as well as experiences are collected during expert interviews in order to develop appropriate strategic recommendations.
The research concludes with strategic recommendations for the company Usbstick-Producer using the collected and analysed data of the literature review and expert interviews. In the conclusion, possible further research topics are assessed and limitations of the research are discussed.
Vehicles powered by electricity are the future of mobility in Germany. At the present
time, electromobility is rather hesitantly implemented in Germany, particularly due to
concerns regarding charging infrastructure and battery power/technology.
The purpose of this research project is to forecast – by using scenario planning techniques - how electromobility will influence the way we move in Germany by 2035. The outcome are three distinct scenarios that reflect the possible shift towards E-Mobility in Germany, especially taking into consideration the charging infrastructure, different battery technology and type of electric vehicle. In order to generate scientifically significant scenarios, input factors (Descriptors) were designed in accordance with the newest research findings from literature. Additionally, special ratios between all possible manifestations of input factors were defined, compared and evaluated.
Die Distributed-Ledger-Technology, die Blockchain und Smart Contracts sind derzeit eines der am meisten diskutierten Themen in der Bankenbranche. Es wird viel erforscht im Hinblick auf Potentiale, Anwendungsgebiete und Risiken bezüglich der Nutzung dieser Technologien. Diese Arbeit soll eine Übersicht über den aktuellen Stand in der Branche geben und welche Chancen sich hier-durch ergeben könnten. Auch wird analysiert, welche Auswirkungen Smart Contracts auf die Branche haben könnten. Auch schon deren Entwicklung stellt die Branche vor neue Herausforderungen im Bezug auf Prozesse in der Bank, in der Kollaboration mit Partnern und mit Kunden.
The purpose of this bachelor thesis is to find out whether there are indicators that point out a convergence of nonprofit and for-profit businesses. Therefore, various business concepts and the money markets of for-and nonprofit businesses are analyzed by implementing a qualitative content analysis. The results show that most of the concepts and both money markets show clear features of for- and nonprofit businesses. In conclusion, indicators of convergence could be identified.
Digitalization is one of the global megatrends of the 21st century. With the increase of mobile technology, constant connectivity, and data analytics, organizations are forced to become more digital to keep up with the increasingly digital world.
This research addresses the changing role of leadership due to digitalization. It examines factors which need to be considered when driving digital transformation in organizations as well as leadership competencies necessary in the digital age. Finally, the research addresses the resistance to digital transformation in organizations.
To investigate how leadership is affected by digitalization, qualitative research is carried out. The research is based on published secondary data.
The findings of this research suggest the growing importance of leadership in the digital age. Leadership needs to approach digitalization actively, thus driving digital transformation in organizations to stay competitive in the increasingly digital world. Further, the research suggests six leadership competencies which are essential in times of digital transformation and identifies two leadership roles which have arisen in recent years due to digitalization. Finally, the research proposes ways to overcome resistance to digital transformation.
The relation between Frugal Innovation and Sustainability is a widely discussed topic in current academic literature. To assess the correlation between these two concepts, a sample of the most frequently mentioned Frugal Innovations was selected. The criteria to evaluate the sustainability potential for each of these cases was built upon the UN Sustainable Development Goals, a global reference indicator. Frugal Innovations among the banking, transport, energy, ICT, water, appliances and healthcare sectors were evaluated. The results suggested a positive contribution and impact of Frugal Innovations towards economic, social and environmental development.
In dieser Arbeit soll eine Motorsteuerung für einen 3-Phasen-Asynchronmotor mit Kurzschlussläufer realisiert werden. Dabei soll der Motor in einem Gleichstromnetzwerk mit einer Spannung von 325V betrieben werden. Drehzahl und Drehrichtung des Motors sollen variabel sein. Der Motor wird dabei bei konstantem Lastdrehmoment betrieben. Des Weiteren soll die Steuerung eine Drehzahl des Motors von bis zu 25000 1/min ermöglichen.
Die Arbeit behandelt dabei einführend die Funktionsweise des Asynchronmotors und leitet ein mathematisches Modell ab, das anschließend für die Erstellung des Steueralgorithmus verwendet wird. Bei der Realisierung der Schaltung wird u.a. die Problematik mit parasitären Induktivitäten und der Umgang mit motorinduzierten Spannungsspitzen behandelt. Realisiert wird die Motorsteuerung als Umrichterschaltung. Dabei finden ausschließlich N-Kanal-MOSFETs Verwendung. Für die Ansteuerung der MOSFETs kommen Gate-Treiber-ICs mit Bootstrap-Kondensatoren zum Einsatz. Angesteuert wird der Motor über einen STM32-Board. Der implementierte Steueralgorithmus realisiert dabei eine Grundfrequenztaktung. Über diesen Aufbau der Motorsteuerung können die Anforderungen erfüllt werden.
Subject of the thesis at hand is the analysis of symmetric block ciphers with a block length of 32 bit. It is meant to give a comprising overview over the topic of 32 bit block ciphers. The topic is divided in the examination of three questions. It contains a list of state of the art block ciphers with a block length of 32 bit. The block ciphers are being described, focussing on the encryption function. An SPN-based cipher with 32 bit block length is being proposed by rescaling the AES cipher.
The 32 bit block length results in certain security issues. These so called risk factors are analysed and mitigating measures are proposed. The result of the thesis is, that 32 bit block ciphers can be implemented in a secure manner. The use of 32 bit ciphers should be limited to specific use-cases and with a profound risk analysis, to determine the protection class of the data to be encrypted.
Influence of cancer and acute inflammatory disease on taste perception: a clinical pilot study
(2018)
Applications for the Internet of Things are becoming increasingly popular. Due to the large amount of available context data, such applications can be used effectively in many domains. By interlinking these data and analyzing them, it is possible to gather a lot of knowledge about a user. Therefore, these applications pose a threat to privacy. In this paper, we illustrate this threat by looking at a real-world application scenario. Current state of the art focuses on privacy mechanisms either for Smart Things or for big data processing systems. However, our studies show that for a comprehensive privacy protection a holistic view on these applications is required. Therefore, we describe how to combine two promising privacy approaches from both categories, namely AVARE and PATRON. Evaluation results confirm the thereby achieved synergy effects.
Die vorliegende Masterarbeit analysiert die Problematiken effektiver grafischer Repräsentationen in digitalen Informationssystemen, die mit besonders hoherund dynamischer Datendichte und Datenquellen einhergehen. Anschließend an die Analyse der Problematiken erarbeitet der Autor dieser Forschungsarbeit ein konzeptuelles Modell zur Bewältigung der geschilderten Problematiken, auf Basis von semantisch beschriebenen, wiederverwendbaren grafischen Visualisierungselementen und den ebenfalls semantisch beschriebenen in die Visualisierung zu überführenden Daten. Besonders hervorzuhebende Erkenntnisse dieser Masterarbeit sind die Identifikation von Qualitätskriterien zur Zielführung einer effektiven Visualisierung gemäß der visuellenWahrnehmung des menschlichen kognitiven Systems, die Notwendigkeit zur Erweiterung der Vokabularmenge der schema.org-Ontologie zur Anwendung der identifizieren Qualitätskriterien und das Auffinden geeigneter Visualisierungselemente sowie das Zuordnen der Daten zu entsprechenden Visualisierungselementen über den Aufbau und Vergleich einer Baumstruktur für sowohl die Daten als auch die der Visualisierungselemente. Diese Forschungsarbeit ist von besonderer Relevanz für Entscheider, Projektmanager und Softwareentwickler, die digitale Informationssysteme mit einer hohen Anzahl an heterogenen Datensätzen und Datenquellen entwickeln.
Influence of tidal volume on ventilation distribution and oxygenation during one-lung ventilation
(2018)
Mathematik 2 für MEB/MM
(2018)
Vektorrechnung: Darstellung von Vektoren, Komponenten, Einheitsvektor, Addition, Subtraktion, Projektion, Skalarprodukt, Kreuzprodukt, Geraden, Ebenen Lineare Algebra: Darstellung, Rechnen mit Matrizen und Vektoren, Drehmatrix, lineare Gleichungssysteme (Eliminationsverfahren GAUSS oder GAUSS-JORDAN, inverse Matrix, über- und unterbestimmte Systeme), Determinanten (Rang einer Matrix, SARRUSsche Regel, CRAMERsche Regel), Eigenwerte und Eigenvektoren einer quadratischen Matrix
Fourier-Reihen: (Fourier-Reihe, reell, komplex, beliebige Periode, punktweise Funktion), Wellen (zeitliche und räumliche Ausbreitung von Wellen, Amplitude, Frequenz, Phase)
Differentialrechnung für Funktionen von mehreren Variablen: graphische Darstellung, skalare und Vektorfelder, partielle Ableitung, Differenzial, Gradient, Kettenregeln, Fehlerfortpflanzung
Integralrechnung für Funktionen von mehreren Variablen: konstante Grenzen, Produktzerlegung, Koordinatensysteme, Polarkoordinaten, Zylinderkoordinaten, Kugelkoordinaten, Trägheitsmomente, variable Grenzen
Gewöhnliche Differentialgleichungen: Klassifikation, Anfangswerte bzw. Randbedingungen, Trennung der Veränderlichen, Variation der Konstanten, DGL mit konstanten Koeffizienten, e-Ansatz, homogene, inhomogene DGL, charakteristische Gleichung, inhomogener Lösungen, Systeme linearer DGL Laplace-Transformation: Eigenschaften, Lösung einer DGL, Korrespondenztabellen, Partialbruchzerlegung, Rücktransformation, Übertragungsfunktion
Übungsbeispiele, Beispielklausur