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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.
21

A computerized aircrew scheduling system

Psyrrakis, J. January 1977 (has links)
No description available.
22

Systems and design : decisions between reality and conjecture

Petrovic, Ivan K. January 1972 (has links)
No description available.
23

Environment oriented simulation

Hoverd, Tim January 2011 (has links)
Complex systems are collections of independent agents interacting to as to produce emergent, often unexpected, behaviour. Computer based simulation is one of the main ways of studying complex systems and a naıve approach to such simulation is fraught with difficulty due to the scope for deadlock in various patterns of interaction between the agents which are of necessity sharing aspects of the computational platform. Agent behaviour, though, can be entirely looked at from the point of view of the environments within which the agents interact. Structuring a simulation purely in this manner leads to a simulation that has essentially no tendency to deadlock and still behaves in the manner required. A number of experiments are conducted to demonstrate the feasibility of this approach. These start with a simple flocking system and continue through an investigation of the ways in which multiple environments can best be combined. Finally, a larger scale experiment investigating the evolution of variety in a rich environment shows that interesting results can be obtained of a simulation constructed in this manner.
24

Modelling from spatiotemporal data : a dynamic systems approach

Zammit Mangion, A. January 2011 (has links)
Several natural phenomena manifest themselves as spatiotemporal evolution processes. The study of these processes, which aims to increase our understanding of the spatiotemporal phenomena for their prediction and control, requires analysis tools to infer models and their parameters from collected data. Whilst several studies exist on how to model from highly complex patterns characteristic of spatiotemporal processes, an approach which may be readily employed in a wide range of scenarios, such as with systems with different forms of observation processes or time-varying systems, is lacking. This work fills this void by providing a systems approach to spatiotemporal modelling which can be used with continuous observations, point process observations, systems exhibiting spatially varying dynamics and time-varying systems. The developed methodology builds on the stochastic partial differential equation as a suitable class of models for dynamic spatiotemporal modelling which can easily cater for spatially varying dynamics. A dimensionality reduction mechanism employing frequency methods is proposed; this is used to bring the spatiotemporal system, coupled with the observation process, into conventional state-space form. The work also provides a series of joint field-parameter inference methods which can cater for the vast range of problems under study. Variational techniques are found to be particularly amenable to these kinds of problem and hence a novel dual variational filter is developed to cater for time-varying spatiotemporal systems. The filter is seen to compare favourably with other conventional approaches and to work well on real temporal data sets. The potential of adopting a systems approach to spatiotemporal modelling is shown on the large-scale Wikileaks data set, the Afghan War Diary, where it is found that reliable predictions are possible even in complex scenarios. The encouraging results are a strong indication that the adopted approach may be used for large-scale spatiotemporal systems across several disciplines and thus provide a mechanism by which stochastic models are made available for spatiotemporal control purposes.
25

Design of robust asynchronous reconfigurable controllers for parallel synchronization using embedded graphs

Guido, James Sebastian January 2015 (has links)
Synchronization is a key System-on-Chip (SoC) design issue in modern technologies. As the number of operating points under consideration increases, specifications which are capable of altering key parameters such as the time available for synchronization and Mean Time Between Failures (MTBF) in response to input from the user/system become desirable. This thesis explores how a combination of parallelism and scheduling, referred to as wagging, can be utilized to construct schedulers for synchronizer designs which are capable of pooling the gain-bandwidth products of their composite devices, in order to satisfy this requirement. In this work, we explore the ways in which the areas of graph theory and reconfigurable hardware design can be applied to generate both combinational and sequential scheduler designs, which satisfy the behavior requirement above. Further to this point, this work illustrates that such a scheduler is primarily comprised of an interrupt subsystem, and a reconfigurable token ring. This thesis explores how both of these components can be controlled in absence of a clock signal, as well as the design challenges inherent to each part. The final noteworthy issue in this study is with regard to the flow control of data in a parallel synchronizer that incorporates a First-In First-Out (FIFO) buffer to decouple the reading and writing operations from each other. Such a structure incurs penalties if the data rates on both sides are not well matched. This work presents a method by which combinations of serial and parallel reading operations are used to minimize this mismatch.
26

An Odyssey with complexity and network science : from the brain to social organisation

Expert, Paul January 2011 (has links)
Complexity science is the study of systems that give rise to a priori unexpected macroscopic patterns, at different scales, emerging from the simple microscopic rules governing the evolution of the system. Method to explore complex systems are based on tools from a wide range of sciences, including statistical mechanics. Recently, the study of the emerging properties of complex systems has been enriched by a new toolbox derived by an extension of graph theory, namely, complex network science. We use both approaches to investigate two complex systems, the human brain and the communications patterns of a social network. The brain could be considered as an archetypical complex system; its fundamental constituting units, the neurones, communicate via simple inhibitory and excitatory interactions. These give rise to an extraordinarily rich hierarchical complex system, the human mind, that enables one to apprehend and interact with the universe. Understanding how the brain functions is essential, both for the general knowledge of humanity, but also for medical purposes; a better understanding of brain functions could lead to finding cures. We investigate the dynamics of brain activity at the smallest scale accessible by functional Magnetic Resonance Imaging, the voxel, while subjects are at the resting-state. We apply real-space renormalisation from the statistical mechanics toolbox, and our findings confirm that brain dynamics displays characteristic signatures of a critical system. At a coarser level, we study the structural differences in the functional networks of a healthy cohort and one made of people at-risk of developing a mental disorder during a verbal fluency task. We find that a key brain region plays a different role in the network organisation of the two populations, which is in agreement with previous findings on the disease schizophrenia. Finally, we investigate community structure in complex systems. Social interactions in humans are also a prime example of a system with emerging structure, the nature of which is dependent on the types of interactions between individuals. We use and develop new methods for community detection to uncover structures due to spatial and linguistic interactions in a mobile phone network.
27

Structural defects and critical phenomena from a quantum information theory perspective

Power, Matthew January 2016 (has links)
No description available.
28

Large scale agent interactions : mathematical modelling and simulation

Wang, Yu January 2006 (has links)
No description available.
29

Ambient agents

O''Hare, Gregory Michael Peter January 2007 (has links)
No description available.
30

The generation of diagnostic tests for large, multi-ouput combinational networks

Butland, Stanley David January 1977 (has links)
A test generation procedure based on a backwards trace path sensitisation technique, and its implementation by computer program are described. The test generation procedure is designed to generate a minimal or near minimal set of tests for a wide range of multi-output networks. The larger networks are taken from a hardware specification of the ICL 1906A floating point unit, and range in complexity from a single output, 75 input network to the main argument mill entailing 243 inputs, 80 outputs, over 2600 elements, and over 75000 separate paths. The test generation technique developed adopts a procedure designed to differentiate between individual faults on the basis of application of single tests as well as on the application of the test series generated. For each test specified, the effect of every single fault has been simulated and all faulty patterns are stored together with their associated causes. A comparison of the effects of each fault over a complete test set is shown to yield precise diagnostic information. Results of the adoption of the backwards trace path sensitisation technique are compared with those derived from an alternative path tracing technique.

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