An SPL product is derived from a configuration of features which need to be compounded together without violating their particular specifications.
Although a zeroth order theory exists describing this liquid jet (Eur. Phys. J. E 8 (2002) 517), it has a number of unsatisfactory features which need to be rectified.
Thus, the selection of particular treatment options should be accompanied by a deliberate consideration of treatment features, which need to be considered in order to maximize patient adherence and compliance.
The desired feature which needs to be present in bio-sensor are application-dependent sensitivity, selectivity, reversibility, speed, and a long lifetime with the minimal power consumption and sample volume (Leite et al. 2003).
For the combination of the two kinds of Gabor features, we prefer a more flexible score level fusion as opposed to a feature level fusion, which needs to address the heterogeneity of various features, and a decision level fusion, which involves less information [34].
In SPLE, product configuration is an optimal feature selection problem, which needs to find a set of features that have no conflicts and meanwhile achieve multiple design objectives (e.g., minimizing cost and maximizing the number of features).
On occasions, the presence of some of these components is an undesirable feature of the reaction process which needs to be controlled.
They viewed this as not just a feature of medical profession dominance, which needs to be (or indeed can be) reduced by improved medical education, but an active co-construction of patient and professional, and concluded that "issues of asymmetry are key to understanding the ways in which these professionals and their patients organize their interactions' [ 11].
"The early-warning [feature] monitors sensitive information which needs to be dealt with immediately…such as June 4th [the date of the Tiananmen Square crackdown in 1989 and] Charter 08 [Mr Liu's anti-authoritarian manifesto]." The authorities have learned to watch out for ingenious variants of June 4th, including May 35th, April 65th and March 96th.
Compared to the regular fault detection methods that use frequency-domain features, the proposed method is based on analyzing time-domain features which needs less computational effort.
