Guias F.,FH Dortmund
AIP Conference Proceedings | Year: 2016
We present improvements of the stochastic direct simulation method, a known numerical scheme based on Markov jump processes which is used for approximating solutions of ordinary differential equations. This scheme is suited especially for spatial discretizations of evolution partial differential equations (PDEs). By exploiting the full path simulation of the stochastic method, we use this first approximation as a predictor and construct improved approximations by Picard iterations, Runge-Kutta steps, or a combination. This has as consequence an increased order of convergence. We illustrate the features of the improved method at a standard benchmark problem, a reaction-diffusion equation modeling a combustion process in one space dimension (1D) and two space dimensions (2D). © 2016 Author(s).
Agency: European Commission | Branch: H2020 | Program: MSCA-RISE | Phase: MSCA-RISE-2016 | Award Amount: 1.46M | Year: 2017
The joint research in this programme will study important aspectsboth theoretical as well as appliedof computing with infinite objects. A central aim is laying the grounds for the generation of efficient and verified software in engineering applications. A prime example for infinite data is provided by the real numbers, most commonly conceived as infinite sequences of digits. While most applications in science and engineering substitute the reals with floating point numbers of fixed finite precision and thus have to deal with truncation and rounding errors, the approach in this project is different: exact real numbers are taken as first-class citizens and while any computation can only exploit a finite portion of its input in finite time, increased precision is always available by continuing the computation process. This project aims to bring together the expertise of specialists in mathematics, logic, and computer science to push the frontiers of our theoretical and practical understanding of computing with infinite objects. Three overarching motivations drive the proposed collaboration: Representability. Cardinality considerations tell us that it is not possible to represent arbitrary mathematical objects in a way that is accessible to computation. We will enlist expertise in topology, logic, and set theory, to address the question of which objects are representable and how they can be represented most efficiently. Constructivity. Working in a constructive mathematical universe can greatly enhance our understanding of the link between computation and mathematical structure. Not only informs us which are the objects of relevance, it also allows us to devise always correct algorithms from proofs. Efficient implementation. We also aim to make progress on concrete implementations. Theoretical insights from elsewhere will be tested in actual computer systems; obstacles encountered in the latter will inform the direction of mathematical investigation.
Agency: European Commission | Branch: FP7 | Program: CP-IP | Phase: NMP.2013.1.4-3 | Award Amount: 9.29M | Year: 2013
Nanotechnology is a key enabling technology. Still existing uncertainties concerning EHS need to be addressed to explore the full potential of this new technology. One challenge consists in the development of methods that reliably identify, characterize and quantify nanomaterials (NM) both as substance and in various products and matrices. The European Commission has recently recommended a definition of NM as reference to determine whether an unknown material can be considered as nanomaterial (2011/696/EU). The proposed NanoDefine project will explicitly address this question. A consortium of European top RTD performers, metrology institutes and nanomaterials and instrument manufacturers has been established to mobilize the critical mass of expertise required to support the implementation of the definition. Based on a comprehensive evaluation of existing methodologies and a rigorous intra-lab and inter-lab comparison, validated measurement methods and instruments will be developed that are robust, readily implementable, cost-effective and capable to reliably measure the size of particles in the range of 1100 nm, with different shapes, coatings and for the widest possible range of materials, in various complex media and products. Case studies will assess their applicability for various sectors, including food/feed, cosmetics etc. One major outcome of the project will be the establishment of an integrated tiered approach including validated rapid screening methods (tier 1) and validated in depth methods (tier 2), with a user manual to guide end-users, such as manufacturers, regulatory bodies and contract laboratories, to implement the developed methodology. NanoDefine will be strongly linked to main standardization bodies, such as CEN, ISO and OECD, by actively participating in TCs and WGs, and by proposing specific ISO/CEN work items, to integrate the developed and validated methodology into the current standardization work.
Agency: European Commission | Branch: FP7 | Program: CP-FP | Phase: FoF.NMP.2013-10 | Award Amount: 4.29M | Year: 2013
The proposed project aims to the development of an ecological and innovative coating for composite parts which may be able to eliminate the styrene emissions from the workplace. Additionally, this type of coating will deliver improved production perfomance in terms of quality and dramatic reduction of associated operational costs which currently burden the progress of composite materials worldwide. Very much like the painting industry changed in the 1950s to the use of dry powders in order to replace existing liquid paints; the liquid gel coats used in the composites industry may be replaced likewise with a proper dry powder technology. This project is meant to prove this fact as well as providing the tools to implement this novel material into a real production of composite parts. The combination of new developments in efficiently heated tools, mould design and reinforced preforms with this ecological coating will provide an excellent platform to modernizing current composites manufacturing technologies.
de Jongste H.,FH Dortmund
Journal of Pragmatics | Year: 2016
In this paper the concepts of humorous intent and meta-motivational states are integrated in Van Dijk's mental-model theory. It is assumed that, when they communicate, people present public mental models of (aspects of) situations to others, which are not necessarily identical with their private mental models. Recipients are aware of this, and using their mind-reading skills in interaction, they do not only try to infer a speaker's public mental model, but they also try to re-construct the speaker's private mental model. Perceived discrepancies give rise to the re-construction of a speaker's a priori intent by the recipient. Humorous intent is defined as a form of a priori intent, which can be manifested in a playful manipulation. Such a manipulation can be detected by the recipient when a public mental model appears to be a tweaked version of a private mental model and when the public mental model appears to be presented in a playful or para-telic mental state. In the case of unintentional humour by very young children, a fantasy mental model can be constructed to make a manipulation and humorous intent plausible. In three examples the theory is applied to demonstrate its potential. © 2016 Elsevier B.V.
Haustein S.,Technical University of Denmark |
Hunecke M.,FH Dortmund
Current Opinion in Environmental Sustainability | Year: 2013
Recently, the use of attitude-based market segmentation to promote environmentally sustainable transport has significantly increased. The segmentation of the population into meaningful groups sharing similar attitudes and preferences provides valuable information about how green measures should be designed and promoted in order to attract different user groups. This review highlights advances in the understanding of mode choice from a psychological perspective, taking into account behavioural theories of car use and car-use reduction. In this contribution, attitudinal, socio-demographic, geographical and behavioural segmentations are compared regarding marketing criteria. Although none of the different approaches can claim absolute superiority, attitudinal approaches show advantages in providing starting-points for interventions to reduce car use. © 2013 Elsevier B.V.
Hunecke M.,FH Dortmund
GAIA | Year: 2011
Transdisciplinary sustainability research on adaption to increasing torrential rains in urban areas requires integration of two kinds of knowledge: First, scientific knowledge in environmental engineering, environmental psychology, and urban and spatial planning; secondly, practical know-how of various stakeholders such as municipalities and companies as well as citizens. Knowledge integration is one of the most important challenges of transdisciplinary research. This article exemplifies the process of transdisciplinary knowledge integration using a case study on water sensitive urban planning that aims at implementing strategies to protect urban living areas and infrastructure from flooding due to heavy precipitations. Five steps can be identified to characterize the process of knowledge integration to develop a concept of water sensitive urban planning. The results show that increasing torrential rains cannot be handled by conventional measures applied separately, but by a combination of measures. Finally, the process of knowledge integration is evaluated in respect to central analytical dimensions in the philosophy of science. © 2011 M. Hunecke; licensee oekom verlag.
Reusch P.,FH Dortmund
Proceedings of the 2013 IEEE 7th International Conference on Intelligent Data Acquisition and Advanced Computing Systems, IDAACS 2013 | Year: 2013
E-learning is one of the pillars of modern higher education and there are many systems that support e-learning and many applications. Today the scope of e-learning goes more and more beyond individual universities. Study programs are often installed in a consortium of cooperating universities. In this case students and staff need access to e-learning platforms of different universities. © 2013 IEEE.
Reusch P.J.A.,FH Dortmund
Proceedings of the 2015 IEEE 8th International Conference on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, IDAACS 2015 | Year: 2015
Extensions of project management processes according to PMBOK® are introduced to improve project management, esp. project control. A new knowledge area for sustainability management in projects is introduced with a base set of new processes. © 2015 IEEE.
FH Dortmund | Date: 2012-01-04
The invention relates to a method for the determination and/or feedback and/or control of the effective measurement space in motion capturing systems, in which at least one person or object is performing movements under control of at least one sensor. Such a method is developed further in such a manner that in a first step a model of the size and/or the geometry of the valid measurement space of the motion capturing system is determined under the current environmental conditions, where after the model of the determined valid measurement space is either fed into an application program in which the environmental data and the data of the movement of the person or object are processed, and which application program shows the determined valid measurement space to the person or object, or shown directly to the moving person or object, so that the moving person or object can take action to control its movements within the valid measurement space accordingly. In another embodiment after determining the model of the valid measurement space of the motion capturing system the model is permanently compared with the actual data of the movements of the person or object, so that actions can be performed with which a malfunction of an application program is prevented in which the environmental data and the data of the movement of the person or object are processed.