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This thesis provides an overview of Generation Z with a focus on Mittweida University of Applied Sciences students. It explores the general issues of students' behavior in life, as well as their attitudes toward the financial and banking sectors. It also examines the German banking market, its strengths and weaknesses in attracting new clients. At the end, possible strategies for the development of the bank in terms of attractiveness for young people are provided.
Tokenization projects are currently very present when it comes to new blockchain technologies. After explaining the fundamentals of cross-chain interaction, the bachelor thesis will focus on tokenizing technology for Bitcoin on Ethereum. To get a more practical context, implementing the currently most successful decentralized tokenization project is described.
This thesis deals with the development of a methodology / concept to analyse targeted attacks against IIoT / IoT devices. Building on the established background knowledge about honeypots, fileless malware and injection techniques a methodology is created that leads to a concept of a honeypot analyzation system. The system is created to analyse and detect novel threats like fileless attacks which are often utilized by Advanced Persistent Threats. That system is partially implemented and later evaluated by performing a simulated attack utilizing fileless attacks. The effectiveness is discussed and rated based on the results.
The subject of the following paper is the analysis of global company motives for taking on sport sponsorships as a corporate social responsibility (CSR) initiative. This work is compilatory in nature because it is derived from literature released by experts as well as real-life case studies. The expert literature provides a basis of theories and models regarding the fundamental motives for CSR and sport sponsoring and visualizes them by means of statistics and real-life case studies. This paper aims to inform individuals, leaders and specifically global organizations about the benefits that taking on a sport sponsorship may have for fulfilling a company’s CSR objectives
In this work a second version for the Python implementation of an algorithm called Probabilistic Regulation of Metabolism (PROM) was created and applied to the metabolic model iSynCJ816 for the organism Synechocystis sp. PCC 6803. A crossvalidation was performed to determine the minimal amount of expression data needed to produce meaningful results with the PROM algorithm. The failed reproduction of the results of a method called Integrated and Deduced Regulation of Metabolism (IDREAM) is documented and causes for the failed reproduction are discussed.
In an era of global climate change and fast growing cities, local governments are in an urgent need for adopting sustainable urban growth concepts for tackling a liveable and prosperous urban future. Against this background, the smart city notion progressively gained popularity as an urban development concept, which heavily relies on technology and urban data use for fostering sustainable urban growth. However, so far, the understandingof the smart city term is ambiguous, and little scientific research has been done on developing comprehensive conceptual frameworks to support local governments in the making of smarter cities. This paper aims at presenting the current state-of-the-art of smart city research in order to support the making of smart city best practices and to promote a comprehensive understanding of the smart city notion. In doing so, the role of technology in the making of smarter cities and critical success factors in transforming cities are elaborated, following the methodological approach of a multidimensional conceptual framework. The research findings and an expert interview with a representative of the state capital will then serve for the assessment of the weak points and best practices in the smart city pursuit of the German city Munich, providing urban policymaking with valuable insights and fostering the development of a comprehensive smart city conceptualism.
This paper examines the communication channels used by innovation projects at the ProtoSpace Hamburg, when engaging with stakeholders, and tries to answer the thesis question whether new media channels improve the chances of success for innovation projects, when used for this communication. Expert interviews with eight experts in com-munication, innovation and stakeholder management were conducted and then analyzed through the application of Mayring´s qualitative content analysis, in order to answer the posed question.
Footage of organoids taken by means of fluorescence microscopy and segmented as well as triangulated by image analysis software like LimeSeg and Mastodon often needs to be visualized in aesthetic manner for presentation of the results in scientific papers, talks and demonstrations. The goal of this work was to create a simple to use addon “Biobox” for the open source 3D – visualization package “Blender” which would allow to import triangulated 3D data with animation over time (4D), produced by image analysis software, and optimize it for efficient usage. ”Biobox” offers several visualization tools for the creation of rendered images and animation videos by biologists.
The optimization of imported data was performed by using Blender intern modifiers. The optimized data can then be visualized by using several tools built for visualizing the organoid in frozen, animated and semi-transparent manners. A dynamic link for object selection and dynamic data exchange between Blender and Mastodon was developed. Additionally, a user interface was developed for manual correction errors of segmentation and steering the object detection algorithms of LimeSeg. The benchmark of the developed addon “Biobox” was performed on real scientific data. The benchmark test demonstrated that developed optimization result in significant (~5 fold) decrease of RAM usage and acceleration of visualization more than 160 times.
The number of Internet of Things (IoT) devices is increasing rapidly. The Trustless Incentivized Remote Node Network, in short IN3 (Incubed), enables trustworthy and fast access to a blockchain for a large number of low-performance IoT devices. Although currently IN3 only supports the verification of Ethereum data, it is not limited to one blockchain due to modularity. This thesis describes the fundamentals, the concept and the implementation of the Bitcoin verification in IN3.
In this thesis two novel methods for removing undesired background illumination are de-veloped. These include a wavelet analysis based approach and an enhancement of a deep learning method. These methods have been compared with conventional methods, using real confocal microscopy images and synthetic generated microscopy images. These synthetic images were created utilizing a generator introduced in this thesis.