Disruption-Tolerant Networks (DTN) allow communication between devices that lack end-to-end connectivity. Even though the mobility of devices in a DTN is frequently dynamic, most proposed DTN protocols are not adaptive. This work presents an ongoing research project that aims to find out to which extent context-based adaptation may be useful to improve DTN performance. We are convinced that, in highly predictive networks, metadata exchange is a crucial factor in supporting routing decisions and recognize context changes. This paper summarizes the efforts we have made so far and presents the next steps we plan to take towards the design and implementation of an adaptive framework.

Routing in Disruption-Tolerant Networks has been researched for over 15 years. Several proposed algorithms exploit the predictive behavior of mobile devices in order to maximize a desired metric (e.g., delivery probability) and minimize waste of resources. However, even devices that follow a highly predictive mobility model might have its behavior temporarily altered due to external events such as accidents, natural conditions, mechanical failures, etc. Some routing approaches for predictive networks are not able to make use of the available knowledge to support the routing decision. Others are not able to adapt under context change. In this work, we present the initial phase of our research and the necessary steps towards an adaptive DTN protocol for challenging networks that is able to exploit available knowledge and adapt under context changes.:I. Introduction II. Challenging Networks III. Challenges Towards an Adaptive Framework IV. Framework Design and Implementation V. Conclusion

Modeling complex gene interacting systems as Boolean networks lead to a significant simplification of computational investigation. This can be achieved by discretization of the expression level to ON or OFF states and classifying the interactions to inhibitory and activating. In this respect, Boolean functions are responsible for the evolution of the binary elements of the Boolean networks. In this thesis, we investigate the mostly used Boolean functions in modeling gene regulatory networks. Moreover, we introduce a new type of function with strong inhibitory namely the veto function. Our computational and analytic studies on the verity of the networks capable of constructing the same State Transition Graph lead to define a new concept namely the “degeneracy” of Boolean functions. We further derive analytically the sensitivity of the Boolean functions to perturbations. It turns out that the veto function forms the most robust dynamics. Furthermore, we verify the applicability of veto function to model the yeast cell cycle networks. In particular, we show that in an intracellular signal transduction network [Helikar et al, PNAS (2008)], the functions with veto are over-represented by a factor exceeding the over-representation of threshold functions and canalyzing functions in the same system. The statistics of the connections of the functional networks are studied in detail. Finally, we look at a different scale of biological phenomena using a binary model. We propose a simple correlation-based model to describe the pattern formation of Fly eye. Specifically, we model two different procedures of Fly eye formation, and provide a generic approach for Fly eye simulation.

Abstrakt Argumentations – Frameworks ließen sich mithilfe der zur Verfügung gestellten Algorithmen zuverlässig und strukturiert implementieren. Die Möglichkeiten, welche die Objektorientierung bietet, ließen dabei eine Implementierung zu, welche dieses Modell unabhängig von seiner Umgebung gestaltet und gleichzeitig die Zusammenarbeit dieses Modells mit dieser Umgebung ermöglicht. Daher eignet sich das Programm als Möglichkeit der Visualisierung dieser Frameworks und liefert gleichzeitig ein unabhängiges Paket, mit dessen Hilfe sich die zugrunde liegenden Berechnungen zuverlässig durchführen lassen.

In dieser Arbeit werden Schwingungsprobleme mit zufälliger Erregung betrachtet. Es werden asymptotische Entwicklungen der Korrelationsfunktion angegeben, wenn der stochastische Eingangsprozess schwach stationär ist und als Integralfunktional schwach korrelierter Funktionen modelliert wird. Insbesondere wird der Fall behandelt, wenn sowohl Ableitungen des Eingangsprozesses vorkommen, als auch Ableitungen der Lösung von Interesse sind.

In der Arbeit wird ein Rahmenkonzept für ein ganzheitliches Qualitätsmanagement für Fallbasierte Systeme im Angebotsengineering erarbeitet. Es vereint die Anforderungen des Total Quality Management nach Kunden-, Prozess- und Mitarbeiterorientierung mit bestehenden Ansätzen und Methoden zur Pflege Fallbasierter Systeme. Das Rahmenkonzept beschreibt anhand Fallbasierter Systeme zur Kostenschätzung im Angebotsengineering notwendige Grundlagen und Elemente, welche für eine systematische Qualitätsmessung und -steuerung der Wissensbasis eines solchen Fallbasierten Systems benötigt werden. Die Art und Weise ihrer Darstellung zeigt gleichzeitig eine Vorgehensweise auf, wie beim Aufbau einer Qualitätsmessung und -steuerung für Fallbasierte Systeme vorgegangen werden kann. / In the thesis a framework for an integrated quality management for case-based reasoning systems (CBR systems) in offer engineering has been developed. The framework conjoins the requirements of Total Quality Management for customer orientation, process orientation and employee-orientation with existing approaches and techniques from case base maintenance and case-based reasoner maintenance. Using a case-based cost estimation system in offer engineering as a case study, the framework describes basic principles and elements for a systematic quality measurement and control of the knowledge base of CBR systems. The principles and elements are described in a specific order that can be taken as a procedure for developing quality measurement and control for CBR systems.

Arbeitsbericht zum Projekt Integrierte Simulation des Systems "Werkzeugmaschine - Antriebe - Zerspanprozess" auf der Grundlage ordnungsreduzierter FEM-Strukturmodelle. Inhalt: Modellreduktion für lineare Systeme, Balanciertes Abschneiden, Singuläre Systeme 2. Ordnung, Offene Fragen und weiteres Vorgehen.

Die wachsende Anzahl an Robotikanwendungen, in denen mehrere Roboter ein gemeinsames Ziel verfolgen, erfordert eine gesonderte Betrachtung der Interaktion zwischen diesen Robotern mit Bezug auf den damit entstehenden Datenaustausch. Dieser muss hierbei effizient betrieben werden und die Sicherheit des gesamt Systems gewährleisten. Diese Masterarbeit stellt eine Simulationsumgebung vor, welche anhand von Testszenarien und Austauschstrategien Roboterkonstellationen prüft und Messergebnisse ausliefert. Zu Beginn der Arbeit werden drei Datenaustauschverfahren betrachtet und anschließend Publikationen vorgestellt, in denen Datenaustausch betrieben wird und Simulatoren für die Nutzbarkeit der Simulationsumgebung untersucht. Die anschließenden Kapitel behandeln das Konzept und die Implementierung der Testumgebung erläutert, wobei Roboter aus einer Menge von Hardware Komponenten und Zielen beschrieben werden. Der Aufbau des Experiments umfasst die verschiedenen Umgebungen, Testszenarien und Roboterkonfiguration. Der Aufbau beschreibt die Grundlage für die Auswertung der Testergebnisse.

The focus of this work is the theoretical and experimentell descreption of so-called Reactive Multilayer Systems (RMS). The RMS consist of at least two mostly metallic materials, which can exothermic response with each other. Using magnetron sputter deposition (MSD) several hundred to thousands alternating layers are produced. The periodic thickness varies between 10-150 nm and the total thickness between 10-100 µ m . The exotermic reaction is effected by an activation energy, e.g. with an electric spark. In this case a phase transition of the RMS materials, which are in a metastable equilibrium, will take place. This released energy in the shape of heat, which actvates the reaction in the neighboring areas. It forms a self-sustaining thermal wave through the RMS foil. In this case the amount of energy is present, that a solder on the RMS or the joining samples or even the material itself can be melted. Therefore the RMS can be used as a heat source for joining two components. The major advantage of this technology is the very low heat input in the bonding components, due to the milliseconds of the reaction. Thus the components are heated only superfical and there is no structural damage. Thus a very low-stress joining is possible. Furthermore is guaranteed, because of the metallic materials, a very high electrical and thermal conductivity. For the theoretical characterization of the physical and chemical processes within the RMS FEM-Simulations of the absolut temperature and the propagation velocity are preformed. In order to calculate the tmeperature ditribution in the components a new method will presented. It is thus possible to calculate the temperature penetration of the components to determine potential thermal barrier layer-thickness and the meltig time. Thus parameters for the specific joint problem such as period thickness, etc. of the RMS are derived. Modelling the heat transport after joining with RMS it is possible to derive a corralation between the thermal conductivity and shear strength. To quantify the theoretical results and to require certain parameters for the calculations experiments were preformed. The RMS will be investigated experimentally in terms of their enthalpy H , propagation velocity v , nascent temperature, melting time t schmelz , interdiffusion zone w , phase transition and its use as inovative heat source for joining components. The experimental results are compared with the theortical and complet this work.

Nowadays, the increasing requirements of portable, implantable, and wearable electronics have greatly stimulated the development of miniaturized energy storage devices (MESDs). Electrochemically active materials and microfabrication techniques are two indispensable parts in MESDs. Particularly, the architecture design of microelectrode arrays is beneficial to the accessibility of two-dimensional (2D) active materials. Therefore, this study reviews the recent advancements in microbatteries and microsupercapacitors based on electrochemically active 2D materials. Emerging microfabrication strategies enable the precise control over the thickness, homogeneity, structure, and dimension in miniaturized devices, which offer tremendous opportunities for achieving both high energy and power densities. Furthermore, smart functions and integrated systems are discussed in detail in light of the emergence of intelligent and interactive modes. Finally, future developments, opportunities, and urgent challenges related to 2D materials, device fabrications, smart responsive designs, and microdevice integrations are provided.