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Quantification and Comparison of Hierarchy in Unimodal Public Transport Networks

Huang, Ketong (author)

Hierarchy is a network property that identifies the organisation and importance of network elements. Public transport systems consist of stops organised by connections, which can be regarded as networks. In a Public Transport Network (PTN) with a high hierarchy, the number of elements gradually decreases as their importance increases, where the...

master thesis 2023

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Single module identifiability in linear dynamic networks with partial excitation and measurement

Shi, S. (author), Cheng, Xiaodong (author), Van den Hof, Paul M.J. (author)

Identifiability of a single module in a network of transfer functions is determined by whether a particular transfer function in the network can be uniquely distinguished within a network model set, on the basis of data. Whereas previous research has focused on the situations that all network signals are either excited or measured, we develop...

journal article 2023

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Synchronization of power systems under stochastic disturbances

Wang, Zhen (author), Xi, Kaihua (author), Cheng, Aijie (author), Lin, H.X. (author), Ran, André C.M. (author), van Schuppen, J.H. (author), Zhang, Chenghui (author)

The synchronization of power generators is an important condition for the proper functioning of a power system, in which the fluctuations in frequency and the phase angle differences between the generators are sufficiently small when subjected to stochastic disturbances. Serious fluctuations can prompt desynchronization, which may lead to...

journal article 2023

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Scalable and Privacy-Aware Online Learning of Nonlinear Structural Equation Models

Money, Rohan (author), Krishnan, Joshin (author), Beferull-Lozano, Baltasar (author), Isufi, E. (author)

An online topology estimation algorithm for nonlinear structural equation models (SEM) is proposed in this paper, addressing the nonlinearity and the non-stationarity of real-world systems. The nonlinearity is modeled using kernel formulations, and the curse of dimensionality associated with the kernels is mitigated using random feature...

journal article 2023

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Including service information in a topological comparison of metro networks worldwide: A comparison of 51 metro networks worldwide using GTFS static data

Vijlbrief, Sam (author)

Public transport (PT) plays a vital role in commuting billions of travellers in cities all over the world, providing a mode that is both sustainable and accessible. Metro networks are especially apt at this considering their high-capacity and high-speed operation in urban environments. Comparing different metro networks to one another is a...

master thesis 2022

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Approaching Message Optimal Byzantine Reliable Broadcast using Routing

Sluijk, Dany (author)

In this paper we will consider the Byzantine Reliable Broadcast problem on partially connected net- works. We introduce an routing algorithm for networks with a known topology. It will show that when this is combined with cryptographic signatures, we can use the routing algorithm to create an optimal amount of messages. We will introduce a few...

bachelor thesis 2022

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Impact of Network Topology on the Resilience of Vehicle Platoons

Pirani, Mohammad (author), Baldi, S. (author), Johansson, Karl Henrik (author)

This paper presents a comprehensive study on the impact of information flow topologies on the resilience of distributed algorithms that are widely used for estimation and control in vehicle platoons. In the state of the art, the influence of information flow topology on both internal and string stability of vehicle platoons has been well...

journal article 2022

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A Simplified Sanitary Sewer System Generator for Exploratory Modelling at City-Scale

Duque, Natalia (author), Bach, Peter M. (author), Scholten, L. (author), Fappiano, F. (author), Maurer, Max (author)

Future climatic, demographic, technological, urban and socio-economic challenges call for more flexible and sustainable wastewater infrastructure systems. Exploratory modelling can help to investigate the consequences of these developments on the infrastructure. In order to explore large numbers of adaptation strategies, we need to re-balance...

journal article 2022

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Temporal Network Prediction and Interpretation

Zou, L. (author), Zhan, Xiu xiu (author), Sun, Jie (author), Hanjalic, A. (author), Wang, H. (author)

Temporal networks refer to networks like physical contact networks whose topology changes over time. Predicting future temporal network is crucial e.g., to forecast the epidemics. Existing prediction methods are either relatively accurate but black-box, or white-box but less accurate. The lack of interpretable and accurate prediction methods...

journal article 2022

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Excitation allocation for generic identifiability of linear dynamic networks with fixed modules

Dreef, H. J. (author), Shi, S. (author), Cheng, X. (author), Donkers, M. C.F. (author), Van den Hof, P. M.J. (author)

Identifiability of linear dynamic networks requires the presence of a sufficient number of external excitation signals. The problem of allocating a minimal number of external signals for guaranteeing generic network identifiability in the full measurement case has been recently addressed in the literature. Here we will extend that work by...

journal article 2022

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Task-Aware Connectivity Learning for Incoming Nodes Over Growing Graphs

Das, B. (author), Hanjalic, A. (author), Isufi, E. (author)

Data processing over graphs is usually done on graphs of fixed size. However, graphs often grow with new nodes arriving over time. Knowing the connectivity information of these nodes, and thus, the expanded graph is crucial for processing data over the expanded graph. In its absence, its inference and the subsequent data processing become...

journal article 2022

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A topological characterisation of looped drainage networks

Meijer, D.H. (author), Korving, Hans (author), Clemens-Meyer, François (author)

Hydrodynamic models are used to analyse water networks (water distribution, drainage, surface water, district heating, etc.). The non-linear nature of water flows necessitates the use of iterative solution methods in hydraulic modelling. This requires a relatively large computational effort. To reduce this effort, networks, network forcing...

journal article 2022

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Learning Time-Varying Graphs from Online Data

Natali, A. (author), Isufi, E. (author), Coutino, Mario (author), Leus, G.J.T. (author)

This work proposes an algorithmic framework to learn time-varying graphs from online data. The generality offered by the framework renders it model-independent, i.e., it can be theoretically analyzed in its abstract formulation and then instantiated under a variety of model-dependent graph learning problems. This is possible by phrasing (time...

journal article 2022

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Message efficient Byzantine Reliable Broadcast protocols on known topologies

Anema, Tim (author)

In this paper, we consider the Reliable Communication and Byzantine Reliable Broadcast problems on partially connected networks with authenticated links. We consider the Reliable Communication (RC) problem on partially connected networks, and the Byzantine Reliable Broadcast (BRB) problem on partially and fully connected networks. Danny Dolev's...

bachelor thesis 2021

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Comparing the topology of phylogenetic network generators

Janssen, R. (author), Liu, Pengyu (author)

Phylogenetic networks represent evolutionary history of species and can record natural reticulate evolutionary processes such as horizontal gene transfer and gene recombination. This makes phylogenetic networks a more comprehensive representation of evolutionary history compared to phylogenetic trees. Stochastic processes for generating...

journal article 2021

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An Automated Detection Framework for Multiple Highway Bottleneck Activations

Nguyen, T.T. (author), Calvert, S.C. (author), Vu, Hai L. (author), van Lint, J.W.C. (author)

Highway bottlenecks are responsible for the majority of traffic congestion. Although the problem of bottleneck detection is not new, contemporary methods have not solved the problem thoroughly with regards to bottleneck locations, activation time, and related congestion tracking. These elements are essential for identifying and characterizing a...

journal article 2021

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Optimising Grid Topology Reconfiguration using Reinforcement Learning

Subramanian, Sai Medha (author)

The de-carbonisation of the energy system, more commonly known as the 'Energy Transition' has a vital role to play in the pursuit of mitigating the climate emergency’s impact. There is a global trend of moving toward making power systems more future-proof and this largely affects the roles and activities of a Transmission System Operator (TSO)...

master thesis 2020

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Relationship between payments made to physicians by healthcare companies and their returns

Balasubramanian, Chitra (author)

Healthcare industry is an ever-emerging field in the 21st century. The statistics from Centers for Medicare services (CMS) [15] website shows that in 2017, in USA, the healthcare industry has invested USD 7.4 billion for research collaborations with physicians. These research collaborations in CMS is spread across multiple facets ranging from...

master thesis 2020

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Seizure preventing MBAN

Henstra, Joris (author), Jansen, Pim (author)

Many people worldwide suffer from epileptic seizures and not all of them can be prevented using medicines, this thesis is being done for seizure prevention. This is based on implementing a medical body area network (MBAN) that takes sensory recordings across the whole body. This is needed as the research group that proposes this project found...

bachelor thesis 2020

document

State-Space Network Topology Identification from Partial Observations

Coutino, Mario (author), Isufi, E. (author), Maehara, Takanori (author), Leus, G.J.T. (author)

In this article, we explore the state-space formulation of a network process to recover from partial observations the network topology that drives its dynamics. To do so, we employ subspace techniques borrowed from system identification literature and extend them to the network topology identification problem. This approach provides a unified...

journal article 2020