Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 22 for “"Network robustness"”.
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Enhancing network robustness via shielding
Shielding critical links enhances network robustness and provides a new way of designing robust networks. We first consider shielding critical links to guarantee network connectivity after any failure under geographical and general failure models. We develop a mixed integer linear program (MILP) to …
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Enhancing network robustness using software-defined networking
As today's networks are no longer individual networks, networks are less robust towards failures and attacks. For example, computer networks and power networks are interdependent. Computer networks provide smart control for power networks, while power networks provide power supply. Localized …
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Modeling Freight Network Robustness and Criticality in Ontario, Canada
… that arise in a freight transportation network for the multi-regional economically active province of Ontario, Canada. A significant economic contributor and generator of freight trips, Ontario relies on its transportation system for the movement of goods. A combination of network …
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A Hybrid Approach to Network Robustness Optimization using Edge Rewiring and Edge Addition
Networks are ubiquitous in the modern world. From computer and telecommunication networks to road networks and power grids, networks make up many crucial pieces of infrastructure that we interact with on a daily basis. These networks can be subjected to damage from many different sources, both …
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Modeling, analysis, and control of interdependent networks
The integrations of communication and physical networks facilitate network monitoring, operation and control, advancing the development of Internet of Things, smart power grids, and other cyber-physical systems. In these integrated networks, one network depends on another in order to be fully …
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Beyond Memorization: Exploring the Dynamics of Grokking in Sparse Neural Networks
… "grokking" is a phenomenon where neural network models demonstrate a sudden improvement in generalization, distinct from traditional learning phases, long after the initial training appears complete. This behavior was first identified by Power et al. (2022) [5]. This thesis explores …
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Circuit and algorithm design to enable edge intelligence
… cost, processing latency, data security, network robustness, and so on. However, EI Design is essentially challenging to support ever-demanding artificial intelligence on resource-constrained devices with a slowly-evolving technology node. Moreover, as an emerging field, a systematic …
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Effects of truckload freight assignment methods on carrier capacity and pricing
… Based on our findings, we identified building network robustness and creating available carrier capacity as critical factors to sustainable pricing, while still being able to maintain a high service level.
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General Direction Routing Protocol
… Routing Protocol (GDRP) is a Wireless Sensor Network (WSN) multi-path routing protocol which abstracts localization information (commonly GPS coordinates) into relative direction information in order to perform routing decisions. By generating relative direction information GDRP is able to …
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An Empirical Analysis and Evaluation of Internet Robustness
The study of network robustness is a critical tool in the understanding of complex interconnected systems such as the Internet, which due to digitalization, gives rise to an increasing prevalence of cyberattacks. Robustness is when a network maintains its basic functionality even under failure of …
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Fast, Metadata-private Anonymous Broadcast
… with other users, all while assuming full network surveillance. In Trellis, users send messages through a set of servers in successive rounds. The servers mix and post the messages to a public bulletin board, hiding which senders sent which messages. Trellis hides all network-level …
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Integrating Optimization and Modern Machine Learning: Theory, Computation, and Healthcare Applications
… modern machine learning methods, like neural networks and kernel functions, faces two primary challenges. Firstly, these models don't meet the fundamental convexity assumptions of optimization theory. Secondly, these models are primarily used in tasks with numerous parameters and …
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Cyberhealth and Informational Wellbeing
… takes seriously non-malicious threats to network robustness and resilience (e.g. human error, buggy code, natural disasters), highlights the impact of network threats and interventions on health and wellbeing, and is more thoughtful about protecting individual rights compared to the …
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DEVELOPMENT AND APPLICATION OF SMART CARBON-BASED COATINGS FOR MULTIFUNCTIONAL SENSING OF CEMENTITIOUS STRUCTURES
… high filler concentrations enhanced electrical network robustness, providing stability under large strains while lower concentrations exhibited greater sensitivity to early-stage damage. Additionally, coatings were able to measure corrosion-driven surface damage in chloride-contaminated …
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Towards Sustainable Next-Generation UxV Networks: Joint Optimisation of Communication, Control, and Energy Management
… performance, while improving adaptability and robustness. This cooperation fundamentally depends on reliable inter-UxV communications, while providing robust and stable network functions for heterogeneous UxVs is extremely challenging for the following reasons. First, the inherent dynamic …
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Cluster damage robustness analysis and space independent community detection in complex networks
… of two very different complex systems using network theory. This multi-disciplinary technique is widely used to model and analyse vastly diverse systems of multiple interacting components, and therefore, it is applied in this thesis to study the complexity of the systems. This complexity is …
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Elucidation of the Cardiac Myogenesis Regulatory Network
… development, we have a critical need for global network views of heart development processes conducted within one species.Cardiac myogenesis, the development of heart muscle cells, is the earliest heart development process and is required for the formation of all adult heart structures. Key …
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Power network and smart grids analysis from a graph theoretic perspective
… systems has given raise to the use of complex network theory in their modelling, analysis, and synthesis. Though most of the previous studies in this area have focused on distributed control through well established protocols like synchronization and consensus, recently, a few fundamental …
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Towards Reliable AI via Efficient Verification of Binarized Neural Networks
Deep neural networks have achieved great success on many tasks and even surpass human performance in certain settings. Despite this success, neural networks are known to be vulnerable to the problem of adversarial inputs, where small and human- imperceptible changes in the input cause large and …
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HUMAN ACTIVITY RECOGNITION FROM EGOCENTRIC VIDEOS AND ROBUSTNESS ANALYSIS OF DEEP NEURAL NETWORKS
… and video processing in recent years. Neural network based models provide improved accuracy in multiple fields in computer vision. However, there has been relatively less work focusing on designing specific models to improve the performance of egocentric image/video tasks. As deep neural …
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