Verbesserung des Fluidphasenresonanzmischens mit OpenFOAM

This work shall improve fluid phase resonance mixing for two applications: smooth, and intense mixing. Knowledge from previous work and CFD simulations with OpenFOAM are being used for this purpose. The two newly created variants are simulated as instationary flows of two separate phases with 2D and 3D CFD models. The results of the 3D simulation are additionally verified by laser doppler anemometry.     

Improving the exact security of digital signature schemes

We put forward a new method of constructing Fiat—Shamir-like signature schemes that yields better ``exact security' than the original Fiat—Shamir method. (We also point out, however, that such tight security does not make our modified schemes always preferable to the original ones. Indeed, there exist particularly efficient Fiat—Shamir-like schemes that, though only enjoying ``loose security,' by using longer keys may provably provide more security at a lower computational cost than their ``tight-security' counterparts.) Received September 1999 and revised September 2000 Online publication 9 April 2001     

Catalytic hydrolysis of cellobiose using different acid‐functionalised Fe3 O4 magnetic nanoparticles

The present study demonstrated the preparation of three different acid‐functionalised magnetic nanoparticles (MNPs) and evaluation for their catalytic efficacy in hydrolysis of cellobiose. Initially, iron oxide (Fe₃ O₄)MNPs were synthesised, which further modified by applying silica coating (Fe₃ O₄ ‐MNPs@Si) and functionalised with alkylsulfonic acid (Fe₃ O₄ ‐MNPs@Si@AS), butylcarboxylic acid (Fe₃ O₄ ‐MNPs@Si@BCOOH) and sulphonic acid (Fe₃ O₄ ‐MNPs@Si@SO₃ H) groups. The Fourier transform infrared analysis confirmed the presence of above‐mentioned acid functional groups on MNPs. Similarly, X‐ray diffraction pattern and energy dispersive X‐ray spectroscopy analysis confirmed the crystalline nature and elemental composition of MNPs, respectively. TEM micrographs showed the synthesis of spherical and polydispersed nanoparticles having diameter size in the range of 20–80 nm. Cellobiose hydrolysis was used as a model reaction to evaluate the catalytic efficacy of acid‐functionalised nanoparticles. A maximum 74.8% cellobiose conversion was reported in case of Fe₃ O₄ ‐MNPs@Si@SO₃ H in first cycle of hydrolysis. Moreover, thus used acid‐functionalised MNPs were magnetically separated and reused. In second cycle of hydrolysis, Fe₃ O₄ ‐MNPs@Si@SO₃ H showed 49.8% cellobiose conversion followed by Fe₃ O₄ ‐MNPs@Si@AS (45%) and Fe₃ O₄ ‐MNPs@Si@BCOOH (18.3%). However, similar pattern was reported in case of third cycle of hydrolysis. The proposed approach is considered as rapid and convenient. Moreover, reuse of acid‐functionalised MNPs makes the process economically viable.Inspec keywords: scanning electron microscopy, catalysis, magnetic separation, magnetic particles, silicon compounds, iron compounds, nanomagnetics, coatings, X‐ray chemical analysis, nanoparticles, X‐ray diffraction, nanofabrication, Fourier transform infrared spectra, organic compounds, nanocompositesOther keywords: catalytic efficacy, alkylsulfonic acid, butylcarboxylic acid, energy dispersive X‐ray spectroscopy analysis, spherical polydispersed nanoparticles, cellobiose hydrolysis, acid‐functionalised MNPs, acid functional groups, cellobiose conversion, acid‐functionalised magnetic nanoparticle, silica coating, sulphonic acid, Fourier transform infrared analysis, SEM micrograph, X‐ray diffraction pattern, size 20.0 nm to 80.0 nm, Fe₃ O₄ , Si, SiO₂      

When–and how–can a cellular automaton be rewritten as a lattice gas?

Both cellular automata (CA) and lattice-gas automata (LG) provide finite algorithmic presentations for certain classes of infinite dynamical systems studied by symbolic dynamics; it is customary to use the terms ‘cellular automaton’ and ‘lattice gas’ for a dynamic system itself as well as for its presentation. The two kinds of presentation share many traits but also display profound differences on issues ranging from decidability to modeling convenience and physical implementability.     

Fast and Efficient Food Quality Control Using Electronic Noses: Adulteration Detection Achieved by Unfolded Cluster Analysis Coupled with Time-Window Selection

The objective of this work is to report the improvements obtained in the discrimination of complex aroma samples with subtle differences in odor pattern, by the use of a fast procedure suitable for the cases of measurements in the field demanding decision-making in real time using a portable electronic nose. This device consists of a sensor array which records changes in conductivity as a function of time when aroma molecules reach the sensors. The core of the method consists of applying unfolded cluster analysis to selected time windows (UCATW) within the temporal evolution of the aroma profile recorded by the gas sensors, yielding an efficient, fast, and reliable data analysis tool that is easy to perform for electronic nose users. The performance of this data handling was tested in two case studies of food adulteration. The results demonstrated that this methodology enables to discriminate highly similar samples, herewith reducing the probability of achieving a wrong grouping due to the use of flawed data. The automation of this type of analysis is simple and improves the efficiency of the device significantly, herewith reducing the time of sensor’s signal recording that is necessary for a reliable assessment of the studied system. The results were validated by clustering the sample component scores that are obtained by applying parallel factor analysis (PARAFAC) to the original three-dimensional data array. An additional validation was obtained by means of a leave-one-out resampling procedure.     

Validity of Uniform Flow Hypothesis in One-Dimensional Morphodynamic Models

Local-uniform-flow (LUF) hypothesis is a simplification of the governing equations describing river morphodynamics, which is needed to determine the evolution of the bed profile and bed-material composition in the case of large time and space scales. This paper presents a rigorous analysis of the full one-dimensional river hydrodynamic and morphodynamic mathematical model compared to its LUF approximation. The analysis establishes two criteria to assess the validity of the LUF hypothesis: (1) a criterion for rivers in equilibrium and (2) a criterion for evolving rivers (i.e., in nonequilibrium). The first criterion is based on the concept of the morphological box. Variations of the river bed longer than the box length are adequately reproduced by the LUF hypothesis, whereas only spatially averaged values are resolved within the box. The second criterion is based on the concept of an evolution window. Temporal variations represented by wave periods larger than the evolution window can be adequately reproduced by the LUF hypothesis, whereas variations with shorter periods are averaged within this window. The minimum size of morphological box and evolution window that limit the error introduced by the LUF hypothesis increases when the Froude number decreases. Further, the minimum size of the evolution window increases for decreasing sediment concentration and increasing mixing layer thickness (i.e., for larger bed forms). The LUF hypothesis is therefore best applied to small mountain rivers for which both the minimum size of the morphological box and the evolution window is relatively small, so that spatial and temporal variations can be resolved in more detail. Applications using the LUF hypothesis for large watersheds (including the lowland portion of the fluvial network) are possible, but are limited to simulations over larger spatial and temporal intervals.     

Magneto-optical properties in IV-VI lead-salt semimagnetic nanocrystals

ABSTRACT: We present a systematic study of lead-salt nanocrystals (NCs) doped with Mn. We have developed a theoretical simulation of electronic and magneto-optical properties by using a multi-band calculation including intrinsic anisotropies and magnetic field effects in the dilute magnetic semiconductor regime. Theoretical findings regarding both broken symmetry and critical phenomena were studied by contrasting two different host materials (PbSe and PbTe) and changing the confinement geometry, dot size, and magnetic doping concentration. We also pointed out the relevance of the optical absorption spectra modulated by the magnetic field that characterize these NCs.     

Research in Visualization Techniques for Field Construction

Field construction can be planned, monitored, and controlled at two distinct levels: (1)?the activity or schedule level; and (2)?the operation or process level. Graphical three-dimensional (3D) visualization can serve as an effective communication method at both levels. Many research efforts in visualizing construction are rooted in scheduling. They typically involve linking activity-based construction schedules and 3D computer-aided design (CAD) models of facilities to describe discretely evolving construction product visualizations (often referred to as four-dimensional CAD). The focus is on communicating what components are built where and when, with the intention of studying the optimal activity sequence, spatial, and temporal interferences. The construction processes or operations actually involved in building the components are usually implied. A second approach in visualizing construction is rooted in discrete-event simulation that, in addition to visualizing evolving construction products, also concerns the visualization of the operations and processes that are performed in building them. In addition to what is built where and when, the approach communicates who builds it and how by depicting the interaction between involved machines, resources, and materials. This paper introduces the two approaches and describes the differences in concept, form, and content between activity level and operations level construction visualization. An example of a structural steel framing operation is presented to elucidate the comparison. This work was originally published in the proceedings of the 2002 IEEE Winter Simulation Conference. This paper expands on the original work by describing recent advances in both activity and operations level construction visualization.     

DEA nonradial efficiency based on vector properties

Classic data envelopment analysis (DEA) models determine the efficiency of productive units, called decision making units (DMUs). DEA uses as its methodology the equiproportional reduction of inputs or increase of outputs and the finding of a single target for each DMU. This target does not incorporate the preference of the decision maker. Later works propose obtaining alternative targets based on nonradial projections on the efficiency frontier that are obtained through nonproportional variations of inputs or outputs. However, the efficiencies are not calculated for these alternative targets. This impedes a comparison among the DMUs. Thus, diverse nonradial efficiency indexes have been proposed based on mathematical averages or weighted averages that do not consider the vectorial characteristics of the efficiency. In this work, we present a nonradial efficiency index based on the initial concept of efficiency associated with each alternative (nonradial) target obtained through a multiobjective model of an inefficient DMU.