A simple/universal rf-generator module system for use in plasma processing

A simple and universal rf-generator module system for use in plasma processing is presented. The modules are well matched and can be used in several combinations. The combination used depends on the application. Hints are given for construction of a system in your own laboratory together with some power output figures.     

On linear constraints for Newton–Raphson corrections and critical point searches in structural F.E. problems

The paper discusses the introduction of constraining equations in the tangential stiffness relation used to calculate the responses to different load cases in solution algorithms for non-linear mechanical Finite Element (F.E.) problems. An alternative to the normal two-phase solution method is discussed. This method is used to represent different iteration constraints, and in conjunction with the search for critical solution points. Numerical tests are presented, evaluating the efficiency of different iteration constraints for a model problem. Practically useful criteria for critical points are discussed. The basic methods for search of such points and some numerical aspects are discussed and evaluated for three different problems.     

Stochastic equilibrium concepts in additive random utility models

This paper deals with markets where inherently discrete goods are offered, for example, housing, work-places or modes of transportation. Consumer choice behaviour may be modelled by the additive random utility, or the generalised Thurstone, model. In this setting we discuss the usefulness and analytical tractability (existence and uniqueness) of some types of stochastic equilibrium.     

Compression of Feedback for Adaptive Transmission and Scheduling

For wireless systems with adaptive modulation and/or scheduling, feedback of channel quality information is often necessary. It has been questioned whether the increased system performance is worth the additional feedback rate and the increased algorithm complexity. In this paper, we study how the feedback rate can be minimized, without losing the gains due to adaptive modulation and multiuser diversity. We present an in-depth study of the literature in the area, and evaluate the performance of several state-of-the-art channel quality feedback schemes. By illustrating the compromise between system throughput and feedback channel rate for various schemes, we are able to give valuable insight in choice of method for feedback rate reduction. A major conclusion is that for multicarrier systems, a lossy compression scheme is the best choice, while for single-carrier systems, schemes limiting feedback to only high-SNR users show good performance. Another conclusion is that there are still many issues to study before the schemes can be used in practice.     

A statistical basis for testing the significance of mass spectrometric protein identification results

A method for testing the significance of mass spectrometric (MS) protein identification results is presented. MS proteolytic peptide mapping and genome database searching provide a rapid, sensitive, and potentially accurate means for identifying proteins. Database search algorithms detect the matching between proteolytic peptide masses from an MS peptide map and theoretical proteolytic peptide masses of the proteins in a genome database. The number of masses that matches is used to compute a score, S, for each protein, and the protein that yields the best score is assumed as the identification result. There is a risk of obtaining a false result, because masses determined by MS are not unique; i.e., each mass in a peptide map can match randomly one or several proteins in a genome database. A false result is obtained when the score, S, due to random matching cannot be discerned from the score due to matching with a real protein in the sample. We therefore introduce the frequency function, f(S), for false (random) identification results as a basis for testing at what significance level, alpha, one can reject a null hypothesis, H0: "the result is false". The significance is tested by comparing an experimental score, S(E), with a critical score, S(C), required for a significant result at the level alpha. If S(E) > or = S(C), H0 is rejected. f(S) and S(C) were obtained by simulations utilizing random tryptic peptide maps generated from a genome database. The critical score, S(C), was studied as a function of the number of masses in the peptide map, the mass accuracy, the degree of incomplete enzymatic cleavage, the protein mass range, and the size of the genome. With S(C) known for a variety of experimental constraints, significance testing can be fully automated and integrated with database searching software used for protein identification.     

The effects of information relevancy on driving behavior

Cognition, Technology & Work - Bus driving is a complex and cognitively challenging task that places high demands on bus drivers’ working memory. Increasing use of “In-Vehicle...     

Results of Predictive Fokker?CPlanck Modelling of NBI Deuterons in ITER

First an analytical formalism is presented for calculating the source distribution of ions generated by neutral beam injection (NBI) in tokamak plasmas. A general NBI ion source term, applicable to studies in the phase space up to 6 dimensions, is provided for neutral beams with finite thickness and divergence. Further, using this source term for the envisaged NBI in ITER, we carry out 3D Fokker?CPlanck modelling of the steady-state deuteron distribution function of NBI produced fast deuterons relaxing on bulk plasma components. For two basic ITER scenarios we demonstrate the poloidal profiles of the beam deuteron density, of the NBI generated current as well as of the NBI power deposition to bulk electrons and ions. Further, we evaluate the capability of gamma and NPA diagnostics of NBI ions in ITER and demonstrate the sensitivity of the distributions of NBI generated ions to different ITER operation scenarios.     

Numerical study of turbulent flame velocity

A premixed flame propagating through a combination of vortices in a tube/channel is studied using direct numerical simulations of the complete set of combustion equations including thermal conduction, diffusion, viscosity, and chemical kinetics. Two cases are considered, a single-mode vortex array and a multimode combination of vortices obeying the Kolmogorov spectrum. It is shown that the velocity of flame propagation depends strongly on the vortex intensity and size. The dependence on the vortex intensity is almost linear in agreement with the general belief. The dependence on the vortex size may be imitated by a power law ∝D2/3. This result is different from theoretical predictions, which creates a challenge for the theory. In the case of the Kolmogorov spectrum of vortices, the velocity of flame propagation is noticeably smaller than for a single-mode vortex array. The flame velocity depends weakly on the thermal expansion of burning matter within the domain of realistically large expansion factors. Comparison to the experimental data indicates that small-scale turbulence is not the only effect that influences the flame velocity in the experimental flows. Large-scale processes, such as the Darrieus-Landau instability and flame-wall interaction, contribute considerably to the velocity of flame propagation. Still, on small scales, the Darrieus-Landau instability becomes important only for a sufficiently low vortex intensity.     

Au-free epitaxial growth of InAs nanowires

III-V nanowires have been fabricated by metal-organic vapor-phase epitaxy without using Au or other metal particles as a catalyst. Instead, prior to growth, a thin SiOx layer is deposited on the substrates. Wires form on various III-V substrates as well as on Si. They are nontapered in thickness and exhibit a hexagonal cross-section. From high-resolution X-ray diffraction, the epitaxial relation between wires and substrates is demonstrated and their crystal structure is determined.