Rapid and comprehensive indicator for evaluation of performance of treatment processes and of river waters.

Naturally occurring UV active compounds, commonly present in almost all source waters, can be rapidly monitored by their ultraviolet absorbance at 260 nm (E260). Herein, the extent of correlation between the E260 and the removal efficiency of the hazardous contaminants, endocrine disrupters and dioxins, were investigated using various treatment and river source waters. The detection of various types of hazardous contaminants using sophisticated analytical methods, such as high resolution gas chromatography (HRGC)/high resolution mass spectrometry (HRMS) and high performance liquid chromatography (HPLC)/inductively coupled plasma (ICP)/mass spectrometry (MS), as well as various short-term bioassays, can require hours or even days for results to be obtained. The removal of the E260 correlated well with those of individual contaminants, such as endocrine disruptor chemicals and dioxins, with the various treatment processes employed. In the plots of the endocrine disrupters against the DOC/E260, a correlation was found with the endocrine activity of the Korean/Japanese river waters employed in this study.     

Influence of residual milk-clotting enzyme and proteolysis on melting properties of soft cheese

In this work, we assessed the influence of coagulant residual activity and primary proteolysis on Cremoso Argentino cheese melting properties. For that purpose, we made Cremoso soft cheeses using different amounts of coagulant, and also obtained samples in which milk-clotting enzyme was inactivated. Primary proteolysis correlated with residual activity of coagulant in early stages of cheese ripening; however, it was similar in all cheeses after 30 days. The hydrolysis of caseins did not significantly affect the melting ability of the cheeses, expressed as the area increase after heating samples under standardized conditions. Samples with similar proximate composition showed some changes in meltability; those seemed related to pH evolution during ripening.     

Following a path of varying curvature as an output regulation problem

Given a path of nonconstant curvature, local asymptotic stability can be proven for the general n trailer whenever the curvature can be considered as the output of an exogenous dynamical system. The controllers that provide convergence to zero of the tracking error chosen for the path-following problem are composed of a prefeedback that input-output linearizes the system, plus a linear controller.     

Rheology and microstructure of semi-solid aluminum alloys compressed in the drop-forge viscometer

The rheological behavior and microstructure of semi-solid aluminum alloys were studied using a novel apparatus, the drop-forge viscometer (DFV). The viscometer determines force from the second-derivative-of-displacement data with respect to time and permits calculations of viscosities at shear rates in excess of 1000 s⁻¹. Alternatively, the DFV can be operated like a conventional parallel-plate viscometer, attaining shear rates as low as 10⁻⁵ s⁻¹. Rapid compression experiments (in the DFV) result in first rapidly increasing, then decreasing, shear rates. In a typical experiment, the viscosity decreased from about 100 to 1 Pa·s as the shear rate increased from approximately 200 to 1300 s⁻¹ in less than 4 ms. The viscosity later increased to about 10 Pa·s as the shear rate decreased from 1300 to 30 s⁻¹ over 2 ms. The minimum viscosity obtained depended on the maximum shear rate, not the duration of shear. The dual observed phenomena of (1) a very rapid drop of viscosity with increasing shear rate followed by (2) a relatively slow increase of viscosity with decreasing shear rate thereafter have potential significance for future machine and process design. For example, it should be possible to form higher fraction solid slurries than is now feasible by applying vigorous shear to semi-solid slurries just before the metal is introduced to the die entrance. The DFV was used to calculate viscosity as a function of shear rate for samples produced by the commercial strain-induced, melt-activated (SIMA) and magnetohydrodynamic (MHD) methods, as well as the recently developed Massachusetts Institute of Technology (MIT) method. Isothermal experiments were conducted between fraction solid of 0.44 and 0.67 for the various alloys (corresponding to a temperature range of 579 °C to 611 °C). The viscosity of the commercial semi-solid Al-Si alloys A357 and A356 produced by the various methods was similar. Separation of liquid and solid phases was not observed in rapid compression experiments shorter than 10 ms, either visually or with energy-dispersive spectroscopy (EDS) characterization. At low compression velocities, segregation was observed and increased with increasing amounts of strain. The maximum fraction solid compressed at high and low shear rates were 0.67 and 0.69, respectively.     

Approximate channel identification via δ‐signed correlation

A method of approximate channel identification is proposed that is based on a simplification of the correlation estimator. Despite the numerical simplification (no multiplications or additions are required, only comparisons and an accumulator), the performance of the proposed estimator is not significantly worse than that of the standard correlation estimator. A free (user selectable) parameter moves ‘smoothly’ from a situation with small sum‐squared channel estimation error but hard‐to‐identify channel peaks, to one with a larger sum‐squared estimation error but easy‐to‐identify channel peaks. The proposed estimator is shown to be biased and its behaviour is analysed in a number of situations. Applications of the proposed estimator to sparsity detection, symbol timing recovery and to the initialization of blind equalizers are suggested. Copyright © 2002 John Wiley & Sons, Ltd.     

Energy function analysis of dynamic programming neural networks

All analytical examination of the energy function associated with a dynamic programming neural network is presented. The analysis is carried out in two steps. First, the locations and numbers of the minimum states for different components of the energy function are investigated in the extreme cases. A clearer insight into the energy function can be gained through the minimum states of different components. Secondly, the locations of the minimum states of the energy function using different parameter values are derived. It is shown that the minimum states can reside in regions which are regarded as valid solutions with certain conditions. Examples and simulation results are given to justify the validity of the theories developed.