Searched for: subject%3A%22Real%255C-world%22
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Assefi, A. (author), van Dommelen, P. (author), Arnaud, L. (author), Otero, C. (author), Fernandez-Luque, L. (author), Koledova, E. (author), Calliari, L.E. (author)
Background: Recombinant human growth hormone (rhGH) therapy is an effective treatment for children with growth disorders. However, poor outcomes are often associated with suboptimal adherence to treatment. Objective: The easypod connected injection device records and transmits injection settings and dose data from patients receiving rhGH. In...
article 2022
document
Rozsas, A. (author), Slobbe, A. (author), Martini, G. (author), Jansen, R. (author)
This paper describes a static diagnostic load testing and measurement campaign of a reinforced concrete road bridge in Amsterdam. We consider 29 vertical translation sensors and 37 strain sensors. Multiple Bayesian parameter estima tions are performed to estimate two structural and two load parameters of a three-dimensional finite element (FE)...
article 2022
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Phillipson, F. (author), Chiscop, I. (author)
conference paper 2021
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Spataru, A. (author), Quarteroni, S. (author), Arnaud, L. (author), van Dommelen, P. (author), Koledova, E.B. (author), Le Masne, Q. (author)
The early adoption of digital health solutions in the treatment of growth disorders has enabled the collection and analysis of more than 10 years of real-world data using the easypod™ connect platform. Using this rich dataset, we were able to study the impact of engagement on three key treatment-related outcomes: adherence, persistence of use,...
article 2021
document
Sijs, J. (author), Fletcher, J. (author)
Robotic systems operating in the real world would benefit from a clear semantic model to understand the real world. Such semantics are typically captured in a knowledge structure. The speed at which robots need to update their real-world knowledge (because of new sensory observations) prevented the use of complex knowledge structures, due to...
conference paper 2021
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de Bruin, G.J. (author), Veenman, C.J. (author), van den Herik, H.J. (author), Takes, F.W. (author)
Link prediction is a well-studied technique for inferring the missing edges between two nodes in some static representation of a network. In modern day social networks, the timestamps associated with each link can be used to predict future links between so-far unconnected nodes. In these so-called temporal networks, we speak of temporal link...
article 2021
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Chau, K.W. (author), Tang, J.M. (author), Oosterlee, C.W. (author)
article 2020
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Honig, J.J. (author), Everts, M.H. (author), Huisman, M. (author)
Solidity smart contracts operate in a hostile environment, which introduces the need for the adequate application of testing techniques to ensure mitigation of the risk of a security incident. Mutation testing is one such technique. It allows for the evaluation of the efficiency of a test suite in detecting faults in a program, allowing...
conference paper 2019
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van der Weijst, R. (author), van Keulen, T. (author), Willems, F.P.T. (author)
This work presents a new method for online fuel-efficiency optimization of Diesel engines, using constrained extremum-seeking. A two-input optimization problem, which is suitable for extremum-seeking, is integrated into a tracking control system. As a result, both air-path and fuel-path actuators are used for tracking and extremum-seeking. A key...
article 2019
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Mentink, P. (author), Seykens, X. (author)
Complying to both the increasingly stringent pollutant emissions as well as (future) GHG emission legislation - with increased focus on in-use real-world emissions - puts a great challenge to the engine/aftertreatment control development process. Control system complexity, calibration and validation effort has increased dramatically over the...
conference paper 2019
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Fransman, J. (author), Sijs, J. (author), Dol, H.S. (author), Theunissen, E. (author), de Schutter, B.D. (author)
DCOP (Distributed Constraint optimization Problem) is a framework for representing distributed multi- agent problems. However, it only allows discrete values for the decision variables, which limits its application for real-world problems. In this paper, an extension of DCOP is investigated to handle variables with continuous domains....
conference paper 2018
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de Greeff, J. (author), Hayes, B. (author), Gombolay, M. (author), Johnson, M. (author), Neerincx, M.A. (author), van Diggelen, J. (author), Cefkin, M. (author), Kruijff-Korbayová, I. (author)
As robots that share working and living environments with humans proliferate, human-robot teamwork (HRT) is becoming more relevant every day. By necessity, these HRT dynamics develop over time, as HRT can hardly happen only in the moment. What theories, algorithms, tools, computational models and design methodologies enable effective and safe...
conference paper 2018
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Mentink, P. (author), Seykens, X. (author), Escobar Valdivieso, D. (author)
To meet future emission targets, it becomes increasingly important to optimize the synergy between engine and aftertreatment system. By using an integrated control approach minimal fluid (fuel and DEF) consumption is targeted within the constraints of emission legislation during real-world operation. In such concept, the on-line availability of...
article 2017
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Wang, X. (author), Kooij, R.E. (author), van Mieghem, P. (author)
Various real-world networks interact with and depend on each other. The design of the interconnection between interacting networks is one of the main challenges to achieve a robust interdependent network. Due to cost considerations, network providers are inclined to interconnect nodes that are geographically close. Accordingly, we propose two...
article 2016
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Balau, A.E. (author), Kooijman, D. (author), Vazquez Rodarte, I. (author), Ligterink, N. (author)
This paper presents a methodology and tool that stochastically generates drive cycles based on measured data, with the purpose of testing and benchmarking light duty vehicles in a simulation environment or on a test-bench. The WLTP database, containing real world driving measurements, was used as input data. Consequently cycles that contain...
article 2015
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Wang, X. (author), Pournaras, E. (author), Kooij, R.E. (author), van Mieghem, P. (author)
article 2014
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Ligterink, N.E. (author), Smokers, R.T.M. (author), Bolech, M. (author)
For the Dutch Ministry for Infrastructure and the Environment data of plug-in vehicles was collected. Data concerning fueling and charging of plug-in vehicles is collected from lease companies, a fuel-pass company, and the charging infrastruture organisation. More than 10% of the total Dutch plug-in fleet is covered. The electricity data is...
conference paper 2013
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de Penning, H.L.H. (author), d'Avila Garcez, A.S. (author), Lamb, L.C. (author), Meyer, J.J.C. (author)
In real-world applications, the effective integration of learning and reasoning in a cognitive agent model is a difficult task. However, such integration may lead to a better understanding, use and construction of more realistic models. Unfortunately, existing models are either oversimplified or require much processing time, which is unsuitable...
conference paper 2011
document
Burghouts, G.J. (author), Marck, J.W. (author)
We propose a mechanism to assess threats that are based on observables. Observables are properties of persons, i.e., their behavior and interaction with other persons and objects. We consider observables that can be extracted from sensor signals and intelligence. In this paper, we discuss situation assessment that is based on observables for...
article 2011
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Currie, P.K. (author), Bos, C.F.M. (author), Berkhout, A.J. (author), Weijermars, R. (author), TNO Bouw en Ondergrond (author)
The Intelligent Energy vision is particularly relevant to mid-career professionals with strong management potential. As aspiring asset or service managers, this group has a strong need to improve their analytic and integrative skills, and adopt the holistic view of the industry which characterises the Intelligent Energy approach. This paper...
conference paper 2010
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