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.
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Showing 1 to 20 of 39 for “"network flows"”.
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Convex Network Flows
… only assumes that the constraints on the flows over each edge are in some convex set. The objective is to maximize a sum of concave utility functions---one for the net flow at every node and one for each edge flow---subject to these constraints. This framework not only includes many …
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An approach to planning and control of stochastic network flows
Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
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Optimal Evacuation Plans for Network Flows over Time Considering Congestion
… dissertation seeks to advance the modeling of network flows over time for the purposes of improving evacuation planning. The devastation created by Hurricanes Katrina and Rita along the Gulf Coast of the United States in 2005 have recently emphasized the need to improve evacuation modeling and …
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Long-term multi-object tracking in indoor environments using network flows
This thesis presents a system for long-term tracking of multiple people in indoor environments using a min cost flow algorithm to optimize the association of short-term tracklets. This system is built on top of an existing RF-based indoor localization system called WiTrack, which is able to track a …
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Generalized multi-commodity network flows : case studies in space logistics and complex infrastructure systems
… with the arbitrarily predetermined logistics network. But how do we select an optimal logistics network? Especially if we can utilize in-situ resources on the Moon and Mars, it will add complexity to network selection problem. The objective of this thesis is to develop a comprehensive …
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Assessing low-fare entry in airline markets : impacts of revenue management and network flows
… In an extension of the simulations to a larger network environment, it is also shown that network flows of passengers affect the performance of all competitors, as measured by aggregate measures of performance. Furthermore, use of advanced network revenue management allows the incumbent carriers …
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MULTIPLE CRITERIA DECISION MAKING : NETWORK FLOWS AND ITS FRAMEWORKS FOR APPLICATION IN HIGHER EDUCATION ADMINISTRATION
… techniques and tools. The Multiple Objective Network Flow (MONF) problem has been chosen as the methodological area, and higher education administration as the functional/ application area. Two separate literature reviews were first done on the indicated methodological and functional areas. …
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Design, analysis, and implementation of effective network flow watermarking schemes
Linking network flows is an important problem in several security-related applications including intrusion detection and anonymity. The flows of interest in these applications are commonly relayed by several low-latency nodes, and each node adds an extra/different layer of encryption to the traffic …
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An effective network flow prioritization approach in DDoS scenarios
… have a policy that can discriminate legitimate network flows from the malicious ones. Such a fairness policy will help prioritizing the legitimate flows and prevent the system from DDoS attacks. In this thesis, we present and compare the effectiveness of four different fairness policies using …
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An Integrated Interregional Input -Output and Transportation Network Model for Assessing Economic Impacts of Unexpected Events
A model of interregional commodity flows, incorporating regional input-output relationships, and the corresponding transportation network flows is formulated and implemented for assessing the economic impacts from an unexpected event. The Integrated Commodity Flow Model (ICFM) integrates a …
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Robust optimization
… (SDP), mixed integer optimization (MIP), network flows and 0 - 1 discrete optimization. Our approach allows the modeler to vary the level of conservatism of the robust solutions in terms of probabilistic bounds of constraint violations, while keeping the problem tractable. Specifically, …
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Novel Directions in Network Steganalysis
Network steganography is the art of exploiting network protocols or network flows to innocuously hide information. Network steganalysis is the study of analysing network traffic and flows to prevent any illicit use of steganography. Using statistical metrics to compare malicious and matching benign …
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Strategic and analytics-driven inspection operations for critical infrastructure resilience
Resilience of infrastructure networks is a key requirement for a functioning modern society. These networks work continuously to enable the delivery of critical services such as water, natural gas, and transportation. However, recent natural disasters and cyber-physical security attacks have …
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Dynamic Channel -Aware Bandwidth Management in IEEE 802.11 Networks
… environment such as a IEEE 802.11 wireless network is to provide the application minimum throughput guarantees. In this work, we present a cross-layer architecture that enables the provision of rate guarantees to multimedia applications, while still catering to best-effort traffic. We …
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An entropy-based approach to network attack classification with deep neural network
Detecting and classifying attacks on computer networks is a significant challenge for network providers and users. This thesis project builds a deep neural network to detect and classify network attacks. Our approach based on the hypothesis that each type of network attacks generates a …
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Distribution network optimization in the uniform rental industry
… a commonly used tool to identify cost efficient network flows. Complexity increases when various products move across different paths and transportation modes within one network. To address the challenges posed by this complexity, this thesis develops a mixed integer linear programming model for …
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Phurti: application and network-aware flow scheduling for MapReduce
… job in a datacenter consists of multiple network flows. Traditionally, network resources have been allocated to optimize network-level metrics such as flow completion time or throughput. Some recent schemes propose using application-aware scheduling which can reduce the average job …
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Towards an Efficient Network Intrusion Detection System for IoT Networks Leveraging Graph Neural Networks
… new attacks in IoT traffic because they treat network flows independently. Graph Neural Networks (GNNs) have emerged as a promising alternative having the ability to capture the underlying network topology. However, existing approaches focus solely on either node or edge features, limiting …
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Can we improve the freight network solutions of a large retailer by using probability distributions to model demand?
… of our solutions for a retailer's transportation network by employing probability distributions to model freight demand. The quality of the solutions was assessed in the basis of transportation cost and service level. The research work was based on a large scale LP optimization tool, called …
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