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 101 for “"Large Networks"”.
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Understanding resilience in large networks
… thesis focuses on the analysis of robustness in large interconnected networks. Many real life systems in transportation, economics, finance and social sciences can be represented as networks. The individual constituents, or nodes, of the network may represent vehicles in the case of vehicular …
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Clustering, coverage and aggregation methods for large networks
… methods for clustering and aggregation of large dynamic networked systems, typically consisting of numerous units/subsystems with complex interactions. Networked system models are used in many scientific and real world applications, for example to describe functional relationships among …
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A reformulated approach to attribute-aware sampling on large networks
Sampling has long been an important tool for extracting subsets of data for data mining tasks. As the scale of information produced has increased, efficient sampling is only becoming more important. Uniform sampling is often the preferred technique of choice, due to its simplicity and speed. …
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Regulating Traffic Flow and Speed on Large Networks: Control and Geographical Self Organizing Map (Geo-SOM) Clustering
… to solve congestion problems in transportation networks. One well-known method used in the literature is Proportional Integral Control (PIC). PIC solves the congestion problem, but suffers from sensitivity to parameter tuning and the need for model linearization. A weather-tuned perimeter …
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The operation of alloy junction transistors as large signal pulse amplifiers in the active region.
… associated with the secure management of large networks. Nine thesis questions were generated to look at common security problems faced by enterprises in large networks. Research was predominantly gathered through personal interviews with professionals in the computer security area from …
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A distributed building evacuation system
… computing, the design presented is scalable to large networks, robust to hardware and communication failure, and based on simple low-cost components. A simulation and hardware prototype demonstrate that this distributed building evacuation system is both feasible and cost effective.
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Verified compilation of abstract network policies
Configuring large networks can be very complex. A network administrator typically has a set of high-level policies in mind when creating a network configuration, but implementing the configuration onto existing hardware often requires specifying many low-level details. As a result, configuring a …
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Application of the latency insertion method (LIM) to the analysis of large circuit interconnect networks
… to addressing the issues that arise in very large networks such as on-chip signal and power distribution networks. We demonstrate that the LIM has the power and flexibility to handle various types of analysis required at different stages of circuit design. The LIM is particularly suitable for …
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Novel Overload Reduction Framework for Intrusion Detection System in Software-Defined Networks
… a Software-Defined Network (SDN) to reduce the networks’ overload when applying an Intrusion Detection System (IDS). IDSs are receiving growing attention due to the users’ daily usage of the internet and cloud storage expansion. The IDS applications are essential for institutions with many …
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Using Heading to Improve Autonomous Agent Movement on Networks
On large networks where resources for security are at a minimum, a dynamic and lightweight approach to diagnosing threats is needed. A mobile software agent system modeled on ants provides one possible solution to this problem. Using this approach, software agents visit nodes (computing devices) in …
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Using Digital Pheromone to Improve the Hitting Time Performance of Mobile Agent-Based Systems
… is needed to address security concerns on large networks with little computational resources to spare. A digital ant framework is one possible solution, modeled on the movement and interactions among ants of an ant colony using pheromone. However, the movement patterns of digital ants and …
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Flexplane : a programmable data plane for resource management in datacenters
… is scalable and has the potential to support large networks.
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Foundations of Machine Learning: Over-parameterization and Feature Learning
… core principles driving the success of neural networks: over-parameterization and feature learning. We leverage these principles to design models with improved performance and interpretability on various computer vision and biomedical applications. We begin by discussing the benefits of …
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Smart monitoring of cybersecurity incidents using machine learning
… are used daily by security analysts to monitor large networks, necessitating further improvements. Machine learning has gained traction in software development for added functionality, but its adoption in cybersecurity has been slow. This thesis introduces smart monitoring modules that employ …
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Competencies, capabilities, and relational factors in buyer-supplier Business-to-Business networks
… 2011.) In emerging markets firms also operate in large networks that contains multiple, complex, direct and indirect business relationships among buyers and sellers. The thesis draws on four different empirical studies to integrate key sets of knowledge spawned from the realms of the Industrial …
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Synchronization in active networks
… which by the coupling scheme form small and large networks, e.g. neural networks. Surprisingly, the oscillators can synchronize, still preserving the complex behavior. Synchronization is a fundamental phenomenon in coupled nonlinear oscillators. Synchronization can be enhanced at different …
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Investigating a Second-Order Optimization Strategy for Neural Networks
… CG for the optimization of artificial neural networks (NNs) and compares this method with common first-order optimization methods, especially the stochastic gradient descent (SGD). The presented research results show that CG can effectively optimize both small and very large networks. However, …
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Clustering algorithms to further enhance predictable situational data in vehicular ad-hoc networks
… of Things (IoT) devices. We can now create large networks with any device to gather real-time information about an environment. In conjunction, modern car companies across the board have a push from public demand for a fully-autonomous car. In order to accomplish autonomy safely and …
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Death by design: a biological approach to container security
… of microservices. A known issue for large networks clusters is a malicious actor can compromise a vulnerable cluster in minutes. Their ability to quickly compromise vulnerable clusters highlights the urgent need for stronger security. This project views cluster defense through a …
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Dynamics in large scale networks
In this thesis we study the properties of two large dynamic networks, the competition network of advertisers on the Google and Bing search engines and the dynamic network of friend relationships among avatars in the massively multiplayer online game (MMOG) Planetside 2. We are particularly …
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