17 Papers
49 Citations
Daniël Worm is an academic researcher from Netherlands Organisation for Applied Scientific Research. The author has contributed to research in topics: Computer science & Smart grid. The author has an hindex of 4, co-authored 17 publications.
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Papers
Optimal Placement of Imperfect Water Quality Sensors in Water Distribution Networks
Casper de C.D. Winter,Casper de C.D. Winter,Venkata Reddy Palleti,Daniël Worm,Robert R. Kooij,Robert R. Kooij +5 more
TL;DR: This paper focuses on optimal sensor placements by introducing two greedy-based algorithms in which the imperfection of sensors and multiple objectives can be taken into account, and relaxing the often used assumption that sensors work perfectly results in different sensors placements than were found before.
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Secure multiparty PageRank algorithm for collaborative fraud detection
Alex Sangers,Maran van Heesch,Thomas Attema,Thijs Veugen,Mark Wiggerman,Jan Veldsink,Oscar Bloemen,Daniël Worm +7 more
- 18 Feb 2019
TL;DR: Secure multiparty PageRank as discussed by the authors allows multiple parties to jointly compute PageRank values of their combined transaction graphs securely, while guaranteeing that each party only learns the PageRank value of its own accounts and nothing about the other transaction graphs.
Modelling of trends in twitter using retweet graph dynamics
Marijn ten Thij,Tanneke Ouboter,Daniël Worm,Nelly Litvak,Hans van den Berg,Hans van den Berg,Sandjai Bhulai +6 more
- 17 Dec 2014
TL;DR: A mathematical model is designed that describes the evolution of a retweet graph by three main parameters that quantifies the influence of the model parameters on the basic characteristics of the retweet graph, such as the density of edges and the size and density of the LCC.
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Revenue maximization with quality assurance for composite web services
Daniël Worm,Miroslav Zivkovic,Hans van den Berg,Rob van der Mei +3 more
- 17 Dec 2012
TL;DR: This work shows how to determine a policy that satisfies the quality assurance for the composite service provider with the aim of revenue maximization for this provider.
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Measuring imperfections of water quality sensors in water distribution networks
Casper de C.D. Winter,Casper de C.D. Winter,Venkata Reddy Palleti,Daniël Worm,Robert E. Kooij +4 more
TL;DR: In this article, the authors investigate the imperfection of four types of water quality sensors being employed in actual water distribution networks for the purpose of contamination detection, including missing values, inexplicable jumps and drifting.
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