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Liu, X. (author)
Deep learning is the core algorithmic tool for automatically processing large amounts of data. Deep learning models are defined as a stack of functions (called layers) with millions of parameters, that are updated during training by fitting them to data. Deep learning models have show remarkable accuracy gains on visual problems in video and...
doctoral thesis 2024
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Hubers, Martijn (author), Gagic, Mladen (author), Shekhar, A. (author)
The small, light-weight and modular Lunar rover must survive several earth days in harsh environment after its moon landing. Its power electronic system with integrated solar generation needs power for its mission and also to stay warm in very cold temperatures of the moon. This paper presents the design of the power electronic system of the...
conference paper 2023
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Gudi, A.A. (author)
Machines that interact with humans can do so better if they can also visually understand us, but they have limited resources to do so. The main topic of this dissertation is contrasting the use of resources by machine vision systems against the accuracy obtained by them. This thesis focuses on reducing the need for data, memory, and computation...
doctoral thesis 2022
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Lee, J. (author), Mitici, M.A. (author)
Aircraft maintenance design aims to identify strategies that render the aircraft reliable for flight in a cost-efficient manner. These are often conflicting objectives. Moreover, existing studies on maintenance design often limit themselves to only one type of maintenance strategy, overlooking other potentially dominating designs. We propose...
journal article 2022
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Hoffmann, Timo (author), Renes, Sander (author)
Corporate boards, experts panels, parliaments, cabinets, and even nations all take important decisions as a group. Selecting an efficient decision rule to aggregate individual opinions is paramount to the decision quality of these groups. In our experiment we measure revealed preferences over and efficiency of several important decision rules....
journal article 2022
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Zhu, B. (author)
In recent years, the accuracy of Deep Neural Networks (DNNs) has improved significantly because of three main factors: the availability of massive amounts training data, the introduction of powerful low-cost computational resources, and the development of complex deep learning models. The cloud can provide powerful computational resources to...
doctoral thesis 2021
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Sulaeman, Ilman (author), Chandra Mouli, G.R. (author), Shekhar, A. (author), Bauer, P. (author)
Future office buildings are expected to be integrated with energy intensive, inherently DC components such as photovoltaic panels (PV), electric vehicles (EV), LED lighting, and battery storage. This paper conceptualizes the interconnection of these components through a 750 V DC nanogrid as against a conventional three-phase 400 V AC system. The...
journal article 2021
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Blank, J.L.T. (author)
Building operations and construction are responsible for a large part of global energy use and carbon dioxide emissions. In this paper, we present an analysis of the efficiency and productivity of the provision of school buildings by Dutch municipalities. A cost function is estimated for the years 2005–2016 using stochastic frontier methods...
journal article 2021
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Bakhshi-Jafarabadi, Reza (author), Sadeh, Javad (author), Rakhshani, E. (author), Popov, M. (author)
Islanding is a condition when distributed generators (DGs) are disconnected electrically from the upstream network. This unwanted situation should be detected effectively to ensure the safety of the maintenance staffs and power quality (PQ) requirements. This paper presents a new high PQ maximum power point tracking (MPPT)-based methodology for...
journal article 2021
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Cañizares Gaztelu, J.C. (author), Copeland, S.M. (author), Doorn, N. (author)
While resilience is a major concept in development, climate adaptation, and related do-mains, many doubts remain about how to interpret this term, its relationship with closely overlap-ping terms, or its normativity. One major view is that, while resilience originally was a descriptive concept denoting some adaptive property of ecosystems,...
journal article 2021
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Boulding, Harriet (author), Hinrichs-Krapels, S. (author)
Background: In 2016 the UK Department of Health and Social Care published the results of a comprehensive review of efficiency in hospitals, identifying “unwarranted variation” in procurement (or purchasing) practices for materials, supplies and devices. Addressing this variation in materials and supplies procurement practice has been...
journal article 2021
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Qian, Yi’Nan (author), Wang, Yuanshun (author), Fang, Zhenlong (author), Chen, X. (author), Miedema, S.A. (author)
A jet pump is used to transport a variety of working media and is especially suitable for dredged soil transporting. In this study, a three-dimensional numerical study of a jet pump that is used for slurry delivery was carried out. The characteristics of the internal flow field of the mixing chamber with different working parameters were...
journal article 2021
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Grazian, F. (author), van Duijsen, P.J. (author), Soeiro, Thiago B. (author), Bauer, P. (author)
In charging applications, wireless power transfer (WPT) is mostly used in the form of inductive power transfer with magnetic resonant coupling. Therefore, both the transmitter and the receiver coils are combined with capacitors, such that only active power is transferred. To evaluate the operation of the WPT charging system, its equivalent...
conference paper 2019
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Janssen, S.A.M. (author), Sharpanskykh, Alexei (author), Curran, R. (author)
Both security and efficiency are important performance areas of air transport systems. Several methods have been proposed to assess security risks and estimate efficiency independently, but only few of these methods identify relationships between security risks and efficiency performance indicators. To analyze security, efficiency, and the...
journal article 2019
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Wiegmans, B. (author), Champagne-Gelinas, Alex (author), Duchesne, Samuël (author), Slack, Brian (author), Witte, Patrick (author)
The main research problem has been analyzing and comparing the efficiencies of road and rail freight transport networks in different geographical contexts and derive policy suggestions from the results based on a dataset that spans multiple continents, covers multiple countries and covers a longer time period. For Europe, the benchmarking...
journal article 2019
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Gudi, A.A. (author), Bittner, M. (author), Lochmans, Roelof (author), van Gemert, J.C. (author)
Remote photo-plethysmography (rPPG) uses a remotely placed camera to estimating a person's heart rate (HR). Similar to how heart rate can provide useful information about a person's vital signs, insights about the underlying physio/psychological conditions can be obtained from heart rate variability (HRV). HRV is a measure of the fine...
conference paper 2019
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Scepanovic, S. (author), Warnier, Martijn (author), Nurminen, Jukka K. (author)
Residential energy interventions aim to structurally influence the way people behave in order to achieve a more sustainable behavior. However, the effectiveness of concrete residential energy interventions in specific circumstances varies widely: depending on the context interventions are more or less successful. This paper studies the effect...
journal article 2019
document
Rellermeyer, Jan S. (author), Omranian Khorasani, S. (author), Graur, Dan (author), Parthasarathy, Apourva (author)
Emerging Big Data analytics and machine learning applications require a significant amount of computational power. While there exists a plethora of large-scale data processing frameworks which thrive in handling the various complexities of data-intensive workloads, the ever-increasing demand of applications have made us reconsider the...
conference paper 2019
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Raso, L. (author), Weijs, S. V. (author), Werner, M. (author)
Uncertainty reduces reliability and performance of water system operations. A decision-maker can take action, accepting the present uncertainty and facing its risks, or reduce uncertainty by first obtaining additional information. Information, however, comes at a cost. The decision-maker must therefore efficiently use his/her resources,...
journal article 2018
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Aravind, M.A. (author), Saikumar, N. (author), Dinesh, N. S. (author), Rajanna, K. (author)
Experience mapping based predictive controller (EMPC) is a recently developed controller based on the concepts of Human Motor Control. It has been demonstrated to out-perform other classical controllers like proportional-derivative (PD), model reference based adaptive controller (MRAC), linear quadratic regulator (LQR) and the linear...
journal article 2018
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