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The Internet of Things is still one of the most relevant topics in the field of economics and research powered by the increasing demand of innovative services. Cost reductions in manufacturing of IoT hardware and the development of completely new communication ways has led to the point of bil-lions of devices connected to the internet. But in order to rule this new IoT landscape a standardized solution to conquer these challenges must be developed, the IoT Architecture.
This thesis examines the structure, purpose and requirements of IoT Architecture Models in the global IoT landscape and proposes an overview across the selected ones. For that purpose, a struc-tured literature analysis on this topic is conducted within this thesis, including an analysis on three existing research approaches trying to frame this topic and a tool supported evaluation of IoT Archi-tecture literature with over 200 accessed documents.
Furthermore, a coding of literature with the help of the specialised coding tool ATLAS.ti 8 is conduct-ed on 30 different IoT Architecture Models. In a final step these Architecture Models are categorized and compared to each other showing that the environment of IoT and its Architectures gets even more complex the further the research goes.
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.
Deformable Snow Rendering
(2019)
Accurate snow simulation is key to capture snow's iconic visuals. Intricate
methods exist that attempt to grasp snow behaviour in a holistic manner. Computational complexity prevents them from reaching real-time performance. This thesis presents three techniques making use of the GPU that focus on the deformation of a snow surface in real-time. The approaches are examined by their ability to scale with an increasing number of deformation actors and their visual portrayal of snow deformation. The findings indicate that the approaches maintain real-time performance well into several hundred individual deformation actors. However, these approaches each have their individual restrictions handicapping the visual results. An experimental approach is to combine the techniques at reduced deformation actor count to benefit from the detailed, merged deformation pattern.
Für die Entwicklung sicherer Softwaresysteme erweitert UMLsec die UML durch die Definition von Sicherheitsanforderungen, die erfüllt sein müssen. In Klassendiagrammen können Attribute und Methoden von Klassen Sicherheitseigenschaften wie secrecy oder integrity haben, auf die nicht authorisierte Klassen keinen Zugriff haben sollten. Vererbungen zwischen Klassen erzeugen eine Komplexität und werfen die Frage auf, wie man mit der Vererbung von Sicherheitseigenschaften umgehen sollte. Neben der Option in sicherheitskritischen Fällen auf Vererbungen zu verzichten, gibt es im Gebiet der objektorientierten Datenbanken bereits viele allgemeine Recherchen über die Auswirkungen von Vererbung auf die Sicherheit. Das Ziel dieser Arbeit ist es, Ähnlichkeiten und Unterschiede von der Datenbankseite und den Klassendiagrammen zu identifizieren und diese Lösungsansätze zu übertragen und zu formalisieren. Eine Implementierung des Modells evaluiert, ob die Lösungen in der Praxis anwendbar sind.
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.
The aim of this work is to develop a simple concept for monitoring dogs that are alone at home for several hours. The prototypical implementation of such a "DogCam" can be considered as proof of concept. The basis for the prototype‘s implementation are the requirements identified within a conducted requirement analysis. Furthermore, the present work shows which improvements and extensions of the prototypical "DogCam" are possible and which similar projects already exist.
Abstract
This bachelor thesis delivers a comprehensive overview of the topic Internet of Things (IoT). With the help of a first literature review, important characteristics, architectures, and properties have been identified. The main aim of this bachelor thesis is to determine whether the use of IoT in the transport of food, considering the compliance with the cold chain, can provide advantages for companies to reduce food waste. For this purpose, a second literature review has been carried out with food transport systems without the use, as well as with the use of IoT. Based on the literature review, it is possible at the end to determine a theoretical ‘ideal’ system for food transport in refrigerated trucks. The respective used technologies are also mentioned. The findings of several authors have shown that often significant improvements can be achieved in surveillance, transport in general, or traceability of food, and ultimately food waste can be reduced. However, benefits can also be gained using new non-IoT-based technologies. Thus, the main knowledge of this bachelor thesis is that a theoretical ‘ideal’ transport system contains a sensible combination of technologies with and without IoT. This system includes the use of a Wireless Sensor Network (WSN) for real-time food monitoring, as well as an alarm function when the temperature exceeds a maximum. Real-time monitoring with GPS coupled with a monitoring center to prevent traffic jams is another task. Smart and energy-efficient packaging, and finally the use of the new supercooling-technology, make the system significantly more efficient in reducing food waste. These highlights, that when choosing a transport system, which is as efficient and profitable as possible for food with refrigerated transport, companies need not just rely on the use of IoT. On this basis, it is advisable to combine the systems and technologies used so far with IoT in order to avoid as much food waste as possible.
The goal of this thesis is to create a recommender system (RS) for business processes, based on the existing ProM plugin RegPFA. To accomplish this task, firstly an interface must be created that sets up and expands a database receiving probabilistic finite automata (PFA) created by RegPFA in tsml format as input. Secondly, a Java program must be designed that uses said database to recommend the process elements that are most likely to follow a given sequence of process elements.
The main goal of this paper is to ascertain, if neural networks (especially LSTM) are helpful in predicting processes by making predictions as accurately as possible.
TensorFlow is the used framework in Python to build recurrent neural networks. Two networks are built, whereby one is used for training and the other one for prediction.
Used datasets contain several processes with several events each. With those processes, the network ist trained and afterwards, the parameters are saved. The network for prediction uses these parameters to make predictions.
The neural network is able to make clear predictions about subsequent events. Even branches can be predicted.
When developed further, integration in other programs is possible. It is recommended to use unique names for the events or to rename them.
In order to simulate realistic motion sequences, muscles must be able to be modelled anatomically correct. Yet it is only possible in SimPack to define muscles as a straight line between two points. This thesis presents an approach where ellipses can be defined through which a muscle must pass. The main problem is to calculate the length of this muscle through the ellipses. An algorithm is presented that calculates the shortest path of a muscle path through this ellipses. This algorithm is then implemented in Fortran 90 and integrated into an existing muscle model in SimPack.