SELF LEARNING STRATEGIES FOR EXPERIMENTAL DESIGN ANDRESPONSE SURFACE OPTIMIZATIONby

background: a glycolipopeptide biosurfactant produced by pseudomonas aeruginosa strain ikw1 reduced the surface tension of fermentation broth from 71.31 to 24.62 dynes/cm at a critical micelle concentration of 20.80 mg/l. the compound proved suitable for applications in emulsion stabilization in food, as well as in cosmetic and pharmaceutical formulations. methods: in the present study, placket...

The objective of this work was to develop bioadhesive topical gel of Aceclofenac with the help of response-surface approach. Experiments were performed according to a 3-level factorial design to evaluate the effects of two independent variables [amount of Poloxamer 407 (PL-407 = X1) and hydroxypropylmethyl cellulose K100 M (HPMC = X2)] on the bioadhesive character of gel, rheological property o...

this paper presents a new observer design methodology for a time varying actuator fault estimation. a new linear matrix inequality (lmi) design algorithm is developed to tackle the limitations (e.g. equality constraint and robustness problems) of the well known so called fast adaptive fault estimation observer (fafe). the fafe is capable of estimating a wide range of time-varying actuator fault...

Composite microsystems that integrate mechanical and fluidic components with electronics are emerging as the next generation of system-on-a-chip. Custom microsystems are expensive, inflexible, and unsuitable for high-volume production. The authors address this problem by leveraging hardware/software codesign principles to design reconfigurable composite microsystems. They partition the system d...

Many genetic algorithms GA have been applied to solve different NP-complete combinatorial optimization problems so far. The striking point of using GA refers to selecting a combination of appropriate patterns in crossover, mutation, and and so forth and fine tuning of some parameters such as crossover probability, mutation probability, and and so forth. One way to design a robust GA is to selec...

The final quality and cost of a manufactured product are determined to a large extent by the engineering design of the product and its production process through activities of off-line quality control methods, namely, System Design, Parameter Design and Tolerance Design. However, in the context of most non-industrialized countries, the off-line quality activities of product design and system de...