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Mohammadi, M. (author), Hofman, W.J. (author), Tan, Y.H. (author)
Ontology alignment is an important and inescapable problem for the interconnections of two ontologies stating the same concepts. Ontology alignment evaluation initiative (OAEI) has been taken place for more than a decade to monitor and help the progress of the field and to compare systematically existing alignment systems. As of 2018, the...
article 2020
document
Wyche, K.P. (author), Cordell, R.L. (author), Smith M, L. (author), Smallbone, K.L. (author), Lyons, P. (author), Hama, S.M.L. (author), Monks, P.S. (author), Staelens, J. (author), Hofman, J. (author), Stroobants, C. (author), Roekens, E. (author), Kos, G.P.A. (author), Weijers, E.P. (author), Panteliadis, P. (author), Dijkema, M.B.A. (author)
Particulate black carbon has a range of negative impacts on health, the environment and climate, however despite this there are relatively few long-term studies on its ambient distribution as a tropospheric air pollutant. In order to address this lack of data, to help to provide greater insight into the spatio-temporal distribution of...
article 2020
document
Hofman, W.J. (author)
Improved situational awareness, also known as Supply Chain Visibility, contributes to better decisions with the ability to synchronize processes and reduce costs. It requires data sharing of for instance positions, speed, direction, and estimated time of arrival and—departure at locations of vessels, trucks, barges, and trains. Any two...
bookPart 2020
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van Engelenburg, S. (author), Rukanova, B. (author), Hofman, W.J. (author), Ubacht, J. (author), Tan, Y.H. (author), Janssen, M. (author)
conference paper 2020
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Verbruggen, F.J.R. (author), Silvas, E. (author), Hofman, T. (author)
Powertrain system design optimization is an unexplored territory for battery electric trucks, which only recently have been seen as a feasible solution for sustainable road transport. To investigate the potential of these vehicles, in this paper, a variety of new battery electric powertrain topologies for heavy-duty trucks is studied. Thereby,...
article 2020
document
Mohammadi, M. (author), Hofman, W.J. (author), Tan, Y.H. (author)
Ontology alignment is a fundamental task to reconcile the heterogeneity among various information systems using distinct information sources. The evolutionary algorithms (EAs) have been already considered as the primary strategy to develop an ontology alignment system. However, such systems have two significant drawbacks: they either need a...
article 2019
document
Hofman, W.J. (author)
Each manufacturer, supplier, and retailer has its own chain of collaborating stakeholders to meet their customer demands. Many perspectives can be taken like food safety, security, and sustainability, which may each lead to separate solutions that are not necessarily interoperable with each other. Data can only be shared within the context of...
conference paper 2019
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Kolodziejak, D.P.H. (author), Pham, T.H. (author), Hofman, T. (author), Wilkins, S. (author)
This paper develops an optimization framework to minimize the Total Cost of Ownership (TCO) for Plug-in Hybrid Electric Vehicles (PHEVs). In this paper, TCO is the summation of operational and main vehicle powertrain components cost. The developed optimization framework is formulated via combining convex optimization and Dynamic Programming...
conference paper 2019
document
Hofman, W.J. (author)
Data sharing is important to optimize and manage logistics chains. Open standards have been developed and implemented by various logistics stakeholders. These implementations have led to closed solutions with barriers to change and implement innovative concepts like synchromodality. This paper analyzes the implementation of open standards by...
bookPart 2019
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Mohammadi, M. (author), Atashin, A.A. (author), Hofman, W. (author), Tan, Y.H. (author)
conference paper 2019
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Mohammadi, M. (author), Tan, Y.H. (author), Hofman, W. (author), Mousavi, S.H. (author)
The l1-regularized least square problem has been considered in diverse fields. However, finding its solution is exacting as its objective function is not differentiable. In this paper, we propose a new one-layer neural network to find the optimal solution of the l1-regularized least squares problem. To solve the problem, we first convert it into...
article 2018
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Hauck, M. (author), Keijzer, E.E. (author), van Meerveld, H. (author), Jansen, B. (author), de Vos-Effting, S.E. (author), Hofman, R. (author)
Innovations are necessary to achieve reduction of both CO2 emissions and use of fossil materi-als during construction and maintenance of roads. To enable selection of promising innovations and to facili-tate material selection in green procurement, quantitative tools to assess both life cycle costs and environmen-tal impacts are used. In this...
conference paper 2018
document
Mohammadi, M. (author), Atashin, A.A. (author), Hofman, W. (author), Tan, Y. (author)
Ontology alignment is widely used to find the correspondences between different ontologies in diverse fields. After discovering the alignments, several performance scores are available to evaluate them. The scores typically require the identified alignment and a reference containing the underlying actual correspondences of the given ontologies....
article 2018
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Rashid, A. (author), Hofman, T. (author), Rosca, B. (author)
conference paper 2018
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Hofman, W.J. (author), Spek, J.C. (author), van Ommeren, C.R. (author)
Improved situational awareness, also known as supply chain visibility, contributes to better decisions with the ability to synchronize processes and reduce costs. It requires data sharing of for instance positions and Estimated Time of Arrival (ETA) of transport means. Blockchain technology could be a means to support data sharing, due to its...
conference paper 2018
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Hofman, W.J. (author), Brewster, C. (author)
Blockchain technology in the last 3–4 years has attracted a great deal of attention due to its potential for the disruption various sectors of the economy including the financial sector, and more recently the mobility and logistics domain. The technology, which was developed as the foundation for the cryptocurrency Bitcoin, has developed much...
bookPart 2018
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Dalmolen, S. (author), Bastiaansen, H.J.M. (author), Moonen, H. (author), Hofman, W.J. (author), Punter, L.M. (author), Cornelisse, E. (author)
In support of the trend towards ever more complex supply chain collaboration for the Physical Internet, a trusted, multi-tenant (and interoperable) data sharing infrastructure has to be enabled. Trust is a condition sine qua non organizations may not be prepared to share potentially competitive sensitive information. As such, trust has to be an...
conference paper 2018
document
Mohammadi, M. (author), Hofman, W. (author), Tan, Y.H. (author)
Simulated annealing-based ontology matching (SANOM) participates for the second time at the ontology alignment evaluation initiative (OAEI) 2018. This paper contains the configuration of SANOM and its results on the anatomy and conference tracks. In comparison to the OAEI 2017, SANOM has improved significantly, and its results are competitive...
conference paper 2018
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Bouwman, K.R. (author), Pham, T.H. (author), Wilkins, S. (author), Hofman, T. (author)
Within hybrid electric vehicles (HEVs) predictive energy management strategies (EMSs) have the potential to reduce the fuel consumption compared to conventional EMSs, where the drive cycle is unknown. Typically, predictive EMSs require a future vehicle speed profile prediction. However, when prediction is inaccurate, the systems fuel reduction...
article 2017
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Silvas, E. (author), Hofman, T. (author), Murgovski, N. (author), Etman, L.F.P. (author), Steinbuch, M. (author)
The optimal design of a hybrid electric vehicle (HEV) can be formulated as a multiobjective optimization problem that spreads over multiple levels (technology, topology, size, and control). In the last decade, studies have shown that by integrating these optimization levels, fuel benefits are obtained, which go beyond the results achieved with...
article 2017
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