Search for dissertations about: "Complex systems simulation framework"
Showing result 1 - 5 of 87 swedish dissertations containing the words Complex systems simulation framework.
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1. ForSyDe-Atom: Design of Heterogeneous Embedded Systems : Taming Complexity with Layers, Atoms and Patterns
Abstract : The design of embedded systems is inherently complex for two main reasons. Firstly, it entails the combined knowledge and results from a vast set of mature, well-established, yet separate disciplines, such as electrical engineering, computer science, mechanical engineering, etc. READ MORE
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2. Visualization and mesoscopic simulation in systems biology
Abstract : Biological cells appear everywhere on earth. They might live on their own as unicellular organism, like bacteria, or might form complex organisms consisting of several thousands or millions of cells. Despite their small size of only a few micrometers, they are complex little miracles. READ MORE
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3. Cyber-Physical Engineering of Distributed Automation Systems in Energy Domain
Abstract : The main focus of this thesis is in the domain of Energy Systems, specifically in the engi-neering of modern Smart Grid (SG) automation systems. The SG has been categorizedas a Cyber-Physical System (CPS), a complex system which exhibits tight integration between the cyber and the physical processes and their interactions in a networked envi-ronment. READ MORE
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4. Active Resource Management in Middleware and Service-oriented Architectures
Abstract : In this thesis, we study load balancing and overload control in two distributed architectures: Distributed Object Computing (DOC) systems and Services-oriented Architecture (SOA) systems. While DOC and SOA have differences in terms of implementation, they are similar from a performance viewpoint. READ MORE
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5. Computer-aided optimization of complex processes in production systems and urban environments
Abstract : Complex processes can be seen as a series of actions, changes, and/or events that are related in different temporospatial manners, and thus are potentially difficult to understand. Optimizing such a process is therefore not necessarily a simple feat, and doing it experimentally may become both time-consuming and expensive. READ MORE